xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

3df9fe18288a27409fe0d1f397258c0d5af78629

138

py

Python

app/venv/lib/python2.7/site-packages/folium/__init__.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

app/venv/lib/python2.7/site-packages/folium/__init__.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

app/venv/lib/python2.7/site-packages/folium/__init__.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import __version__ = '0.1.5' from folium.folium import Map, initialize_notebook

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4

3dfa1b19c49ed53a4fc09f2f56706e3608dc5674

2,524

py

Python

PyObjCTest/test_nsmetadata.py

Khan/pyobjc-framework-Cocoa

f8b015ea2a72d8d78be6084fb12925c4785b8f1f

[ "MIT" ]

132

2015-01-01T10:02:42.000Z

2022-03-09T12:51:01.000Z

mac/pyobjc-framework-Cocoa/PyObjCTest/test_nsmetadata.py

mba811/music-player

7998986b34cfda2244ef622adefb839331b81a81

[ "BSD-2-Clause" ]

6

2015-01-06T08:23:19.000Z

2019-03-14T12:22:06.000Z

mac/pyobjc-framework-Cocoa/PyObjCTest/test_nsmetadata.py

mba811/music-player

7998986b34cfda2244ef622adefb839331b81a81

[ "BSD-2-Clause" ]

27

2015-02-23T11:51:43.000Z

2022-03-07T02:34:18.000Z

from Foundation import * from PyObjCTools.TestSupport import * try: unicode except NameError: unicode = str class TestNSMetaData (TestCase): def testConstants(self): self.assertIsInstance(NSMetadataQueryDidStartGatheringNotification, unicode) self.assertIsInstance(NSMetadataQueryGatheringProgressNotification, unicode) self.assertIsInstance(NSMetadataQueryDidFinishGatheringNotification, unicode) self.assertIsInstance(NSMetadataQueryDidUpdateNotification, unicode) self.assertIsInstance(NSMetadataQueryResultContentRelevanceAttribute, unicode) self.assertIsInstance(NSMetadataQueryUserHomeScope, unicode) self.assertIsInstance(NSMetadataQueryLocalComputerScope, unicode) self.assertIsInstance(NSMetadataQueryNetworkScope, unicode) @min_os_level('10.7') def testConstants10_7(self): self.assertIsInstance(NSMetadataQueryLocalDocumentsScope, unicode) self.assertIsInstance(NSMetadataQueryUbiquitousDocumentsScope, unicode) self.assertIsInstance(NSMetadataQueryUbiquitousDataScope, unicode) self.assertIsInstance(NSMetadataItemFSNameKey, unicode) self.assertIsInstance(NSMetadataItemDisplayNameKey, unicode) self.assertIsInstance(NSMetadataItemURLKey, unicode) self.assertIsInstance(NSMetadataItemPathKey, unicode) self.assertIsInstance(NSMetadataItemFSSizeKey, unicode) self.assertIsInstance(NSMetadataItemFSCreationDateKey, unicode) self.assertIsInstance(NSMetadataItemFSContentChangeDateKey, unicode) self.assertIsInstance(NSMetadataItemIsUbiquitousKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemHasUnresolvedConflictsKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemIsDownloadedKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemIsDownloadingKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemIsUploadedKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemIsUploadingKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemPercentDownloadedKey, unicode) self.assertIsInstance(NSMetadataUbiquitousItemPercentUploadedKey, unicode) def testMethods(self): self.assertResultIsBOOL(NSMetadataQuery.startQuery) self.assertResultIsBOOL(NSMetadataQuery.isStarted) self.assertResultIsBOOL(NSMetadataQuery.isGathering) self.assertResultIsBOOL(NSMetadataQuery.isStopped) if __name__ == "__main__": main()

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null

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1

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4

9a7781b8dd9f489e9f644d50e72a6b7e0c852795

54

py

Python

continuous_integration/__init__.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

5

2021-12-29T12:55:34.000Z

2022-03-01T17:57:21.000Z

continuous_integration/__init__.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

10

2021-12-29T02:15:55.000Z

2022-03-09T11:04:22.000Z

continuous_integration/__init__.py

aas-core-works/aas-core-csharp-codegen

731f706e2d12bf80722ac55d920fcf5402fb26ef

[ "MIT" ]

2

2021-12-29T01:42:12.000Z

2022-02-15T13:46:33.000Z

"""Provide scripts for the continuous integration."""

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4

9a94653bf7004eccfefee84d52a6d23c1d2b251b

18,692

py

Python

nautobot/ipam/migrations/0001_initial_part_1.py

steffann/nautobot

f5cf4a294861e69fa10ac445f7fc89f432d5b3df

[ "Apache-2.0" ]

1

2021-03-16T15:14:55.000Z

nautobot/ipam/migrations/0001_initial_part_1.py

steffann/nautobot

f5cf4a294861e69fa10ac445f7fc89f432d5b3df

[ "Apache-2.0" ]

null

nautobot/ipam/migrations/0001_initial_part_1.py

steffann/nautobot

f5cf4a294861e69fa10ac445f7fc89f432d5b3df

[ "Apache-2.0" ]

1

2021-10-14T01:54:24.000Z

# Generated by Django 3.1.3 on 2021-02-20 08:07 import django.contrib.postgres.fields import django.core.serializers.json import django.core.validators from django.db import migrations, models import django.db.models.deletion import django.db.models.expressions import nautobot.extras.models.statuses import nautobot.ipam.fields import taggit.managers import uuid class Migration(migrations.Migration): initial = True dependencies = [ ("tenancy", "0001_initial"), ("extras", "0001_initial_part_1"), ("dcim", "0002_initial_part_2"), ] operations = [ migrations.CreateModel( name="Aggregate", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("prefix", nautobot.ipam.fields.IPNetworkField()), ("date_added", models.DateField(blank=True, null=True)), ("description", models.CharField(blank=True, max_length=200)), ], options={ "ordering": ("prefix",), }, ), migrations.CreateModel( name="IPAddress", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("address", nautobot.ipam.fields.IPAddressField()), ("role", models.CharField(blank=True, max_length=50)), ("assigned_object_id", models.UUIDField(blank=True, null=True)), ( "dns_name", models.CharField( blank=True, max_length=255, validators=[ django.core.validators.RegexValidator( code="invalid", message="Only alphanumeric characters, hyphens, periods, and underscores are allowed in DNS names", regex="^[0-9A-Za-z._-]+$", ) ], ), ), ("description", models.CharField(blank=True, max_length=200)), ], options={ "verbose_name": "IP address", "verbose_name_plural": "IP addresses", "ordering": ("address",), }, ), migrations.CreateModel( name="Prefix", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("prefix", nautobot.ipam.fields.IPNetworkField()), ("is_pool", models.BooleanField(default=False)), ("description", models.CharField(blank=True, max_length=200)), ], options={ "verbose_name_plural": "prefixes", "ordering": ( django.db.models.expressions.OrderBy(django.db.models.expressions.F("vrf__name"), nulls_first=True), "prefix", ), }, ), migrations.CreateModel( name="RIR", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=100, unique=True)), ("slug", models.SlugField(max_length=100, unique=True)), ("is_private", models.BooleanField(default=False)), ("description", models.CharField(blank=True, max_length=200)), ], options={ "verbose_name": "RIR", "verbose_name_plural": "RIRs", "ordering": ["name"], }, ), migrations.CreateModel( name="Role", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=100, unique=True)), ("slug", models.SlugField(max_length=100, unique=True)), ("weight", models.PositiveSmallIntegerField(default=1000)), ("description", models.CharField(blank=True, max_length=200)), ], options={ "ordering": ["weight", "name"], }, ), migrations.CreateModel( name="RouteTarget", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=21, unique=True)), ("description", models.CharField(blank=True, max_length=200)), ], options={ "ordering": ["name"], }, ), migrations.CreateModel( name="VRF", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=100)), ( "rd", models.CharField(blank=True, max_length=21, null=True, unique=True), ), ("enforce_unique", models.BooleanField(default=True)), ("description", models.CharField(blank=True, max_length=200)), ( "export_targets", models.ManyToManyField(blank=True, related_name="exporting_vrfs", to="ipam.RouteTarget"), ), ( "import_targets", models.ManyToManyField(blank=True, related_name="importing_vrfs", to="ipam.RouteTarget"), ), ( "tags", taggit.managers.TaggableManager(through="extras.TaggedItem", to="extras.Tag"), ), ( "tenant", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name="vrfs", to="tenancy.tenant", ), ), ], options={ "verbose_name": "VRF", "verbose_name_plural": "VRFs", "ordering": ("name", "rd"), }, ), migrations.CreateModel( name="VLANGroup", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=100)), ("slug", models.SlugField(max_length=100)), ("description", models.CharField(blank=True, max_length=200)), ( "site", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name="vlan_groups", to="dcim.site", ), ), ], options={ "verbose_name": "VLAN group", "verbose_name_plural": "VLAN groups", "ordering": ("site", "name"), }, ), migrations.CreateModel( name="VLAN", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ( "vid", models.PositiveSmallIntegerField( validators=[ django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(4094), ] ), ), ("name", models.CharField(max_length=64)), ("description", models.CharField(blank=True, max_length=200)), ( "group", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name="vlans", to="ipam.vlangroup", ), ), ( "role", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name="vlans", to="ipam.role", ), ), ( "site", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name="vlans", to="dcim.site", ), ), ( "status", nautobot.extras.models.statuses.StatusField( null=True, on_delete=django.db.models.deletion.PROTECT, related_name="ipam_vlan_related", to="extras.status", ), ), ( "tags", taggit.managers.TaggableManager(through="extras.TaggedItem", to="extras.Tag"), ), ( "tenant", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name="vlans", to="tenancy.tenant", ), ), ], options={ "verbose_name": "VLAN", "verbose_name_plural": "VLANs", "ordering": ("site", "group", "vid"), }, ), migrations.CreateModel( name="Service", fields=[ ( "id", models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True, ), ), ("created", models.DateField(auto_now_add=True, null=True)), ("last_updated", models.DateTimeField(auto_now=True, null=True)), ( "custom_field_data", models.JSONField( blank=True, default=dict, encoder=django.core.serializers.json.DjangoJSONEncoder, ), ), ("name", models.CharField(max_length=100)), ("protocol", models.CharField(max_length=50)), ( "ports", django.contrib.postgres.fields.ArrayField( base_field=models.PositiveIntegerField( validators=[ django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(65535), ] ), size=None, ), ), ("description", models.CharField(blank=True, max_length=200)), ( "device", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name="services", to="dcim.device", ), ), ( "ipaddresses", models.ManyToManyField(blank=True, related_name="services", to="ipam.IPAddress"), ), ( "tags", taggit.managers.TaggableManager(through="extras.TaggedItem", to="extras.Tag"), ), ], options={ "ordering": ("protocol", "ports"), }, ), ]

37.838057

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0.730599

0.713969

0.681402

0.668099

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0.504761

18,692

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37.914807

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false

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null

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4

9a957bd7f12f881b0ea0d2ed44a2df42fce14ef1

12

py

Python

__init__.py

mittalj/cs340_databases_project

135a980a477056d0a02e1b191faa69e0067f4758

[ "Apache-2.0" ]

null

__init__.py

mittalj/cs340_databases_project

135a980a477056d0a02e1b191faa69e0067f4758

[ "Apache-2.0" ]

null

__init__.py

mittalj/cs340_databases_project

135a980a477056d0a02e1b191faa69e0067f4758

[ "Apache-2.0" ]

null

#If needed

6

11

0.666667

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12

4

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0.25

12

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12

0.888889

0.75

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true

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null

0

1

0

null

0

1

0

4

9acca7fb56868c899d8cd5398324f9de1ab20001

91

py

Python

back/evolucao/apps.py

ldurans/app-prontuario-tasy

51098806e289326d7afdd9f4908b1aab75f6d308

[ "Apache-2.0" ]

null

back/evolucao/apps.py

ldurans/app-prontuario-tasy

51098806e289326d7afdd9f4908b1aab75f6d308

[ "Apache-2.0" ]

null

back/evolucao/apps.py

ldurans/app-prontuario-tasy

51098806e289326d7afdd9f4908b1aab75f6d308

[ "Apache-2.0" ]

null

from django.apps import AppConfig class EvolucaoConfig(AppConfig): name = 'evolucao'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

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0.087912

0

1

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false

0

0.333333

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1

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1

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null

0

1

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1

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4

9adf6b171512b4fc1631385f21f68021ac5ca5ad

147

py

Python

run_fly.py

cheburakshu/fly

d452af4b83e4cb0f8d0094bf1e0c1b407d39bdf5

[ "Apache-2.0" ]

null

run_fly.py

cheburakshu/fly

d452af4b83e4cb0f8d0094bf1e0c1b407d39bdf5

[ "Apache-2.0" ]

null

run_fly.py

cheburakshu/fly

d452af4b83e4cb0f8d0094bf1e0c1b407d39bdf5

[ "Apache-2.0" ]

null

import fly import sys if len(sys.argv) < 2: print("Usage: python run_fly.py config_file_name.conf") else: fly.bootstrap(sys.argv[1])

21

60

0.680272

25

147

3.88

0.76

0.14433

0

0.016807

0.190476

147

7

61

21

0.798319

0

0.323944

0.147887

0

1

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true

0

0.333333

0

0.333333

0.166667

1

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null

0

1

0

null

0

1

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1

0

4

b104edace96215b0de90d0a249a54d0693070d53

288

py

Python

mandroobi/db.py

ivansabik/mandroobi

b12325d5afe83cbf54db4063ecddc2950ed60431

[ "Apache-2.0" ]

8

2017-05-01T10:20:48.000Z

2021-07-02T20:27:28.000Z

mandroobi/db.py

ivansabik/mandroobi

b12325d5afe83cbf54db4063ecddc2950ed60431

[ "Apache-2.0" ]

2

2017-05-01T06:36:46.000Z

2017-05-30T15:17:01.000Z

mandroobi/db.py

ivansabik/mandroobi

b12325d5afe83cbf54db4063ecddc2950ed60431

[ "Apache-2.0" ]

3

2019-10-24T20:51:23.000Z

2020-06-14T05:16:25.000Z

from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session, sessionmaker # TODO: read from config, env var here and in alembic.ini engine = create_engine('sqlite:////tmp/mandroobi.db', echo=False) session = scoped_session(sessionmaker(bind=engine, autocommit=True))

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0.7

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0.104167

288

7

69

41.142857

0.875969

0.190972

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false

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null

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1

0

1

0

4

b105b636271c023f9aa38aaa8191bc93ce6c01f3

223

py

Python

python/testData/inspections/DocstringParams2.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/DocstringParams2.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/DocstringParams2.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

""" file's docstring """ def spam(<weak_warning descr="Missing parameter ham in docstring">ha<caret>m</weak_warning>, eggs): # <== PyCharm suggests to apply quickfix there """Docstring @param eggs: """ pass

37.166667

147

0.668161

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5.068966

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0.183857

223

6

148

37.166667

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0.197309

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null

0

1

0

1

0

4

b10ba33c9c6a25baa12943cc4d2b028bfcd9866d

208

py

Python

algorithms/baseline_regressor.py

DataOceanWhale/OceanLFAS

e549fb23434f07b00d90144f5e0cc3526c44b73f

[ "Apache-2.0" ]

3

2021-05-27T04:20:19.000Z

2021-06-22T02:56:19.000Z

algorithms/baseline_regressor.py

DataOceanWhale/OceanLFAS

e549fb23434f07b00d90144f5e0cc3526c44b73f

[ "Apache-2.0" ]

null

algorithms/baseline_regressor.py

DataOceanWhale/OceanLFAS

e549fb23434f07b00d90144f5e0cc3526c44b73f

[ "Apache-2.0" ]

null

import numpy as np class BaselineRegressor: def __init__(self): pass def fit(self, x_train, y_train): pass def predict(self, x_test): return np.zeros([x_test.shape[0]])

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0.25

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0

null

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1

0

1

0

1

0

4

b113395298d9dbddf4ae36348e79665e7333656e

84

py

Python

layers/__init__.py

wahyutirta/CNN-numpy

d66e10a53304a0c72c40f278486866493f573d5e

[ "MIT" ]

3

2021-05-20T09:22:37.000Z

2021-07-16T07:04:43.000Z

layers/__init__.py

wahyutirta/cnn-numpy

d66e10a53304a0c72c40f278486866493f573d5e

[ "MIT" ]

null

layers/__init__.py

wahyutirta/cnn-numpy

d66e10a53304a0c72c40f278486866493f573d5e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jul 21 08:25:14 2021 @author: ASUS """

10.5

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b120a03d3007d93d39d8769cab5138b542919a25

7,043

py

Python

Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/ART_Core.py

windystrife/UnrealEngine_NVIDIAGameWork

b50e6338a7c5b26374d66306ebc7807541ff815e

[ "MIT" ]

1

2022-01-29T18:36:12.000Z

Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/ART_Core.py

windystrife/UnrealEngine_NVIDIAGameWork

b50e6338a7c5b26374d66306ebc7807541ff815e

[ "MIT" ]

null

Engine/Extras/Maya_AnimationRiggingTools/ARTv1/MayaTools/General/Scripts/Modules/ART_Core.py

windystrife/UnrealEngine_NVIDIAGameWork

b50e6338a7c5b26374d66306ebc7807541ff815e

[ "MIT" ]

null

import maya.cmds as cmds import maya.mel as mel import os import ART_rigUtils as utils reload(utils) class RigCore(): #RigCore builds up our core components needed to start the rig build. This includes setting up the driver skeleton and building things like the rig settings, and master rig grps #These are components that will be needed for every rig def __init__(self): #create the rig settings node self.rigSettings = cmds.group(empty = True, name = "Rig_Settings") cmds.setAttr(self.rigSettings + ".tx", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".ty", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".tz", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".rx", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".ry", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".rz", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".sx", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".sy", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".sz", lock = True, keyable = False) cmds.setAttr(self.rigSettings + ".v", lock = True, keyable = False) #Setup the driver skeleton self.createDriverSkeleton() #build the core rig components self.buildCoreComponents() # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # def createDriverSkeleton(self): #there will always be a root bone, so let's duplicate that dupe = cmds.duplicate("root", rc = True)[0] cmds.select("root", hi = True) joints = cmds.ls(sl = True) cmds.select(dupe, hi = True) dupeJoints = cmds.ls(sl = True) driverJoints = [] for i in range(int(len(dupeJoints))): if cmds.objExists(dupeJoints[i]): driverJoint = cmds.rename(dupeJoints[i], "driver_" + joints[i]) driverJoints.append(driverJoint) #create a direct connection between the driver and the export joints for joint in driverJoints: exportJoint = joint.partition("_")[2] try: cmds.connectAttr(joint + ".translate", exportJoint + ".translate") except: print "could not connect translate to driver joint on " + str(exportJoint) try: cmds.orientConstraint(joint, exportJoint) except: print "could not orient constrain " + str(exportJoint) + " to driver joint" try: cmds.connectAttr(joint + ".scale", exportJoint + ".scale") except: print "could not connect scale to driver joint on " + str(exportJoint) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # def buildCoreComponents(self): #builds the master, the root, and the core rig groups #MASTER CONTROL masterControl = utils.createControl("circle", 150, "master_anim") constraint = cmds.pointConstraint("root", masterControl)[0] cmds.delete(constraint) cmds.makeIdentity(masterControl, apply = True) cmds.setAttr(masterControl + ".overrideEnabled", 1) cmds.setAttr(masterControl + ".overrideColor", 18) spaceSwitchFollow = cmds.group(empty = True, name = masterControl + "_space_switcher_follow") constraint = cmds.parentConstraint("root", spaceSwitchFollow)[0] cmds.delete(constraint) spaceSwitcher = cmds.group(empty = True, name = masterControl + "_space_switcher") constraint = cmds.parentConstraint("root", spaceSwitcher)[0] cmds.delete(constraint) cmds.parent(spaceSwitcher, spaceSwitchFollow) cmds.parent(masterControl, spaceSwitcher) cmds.makeIdentity(masterControl, apply = True) #OFFSET CONTROL offsetControl = utils.createControl("square", 140, "offset_anim") constraint = cmds.pointConstraint("root", offsetControl)[0] cmds.delete(constraint) cmds.parent(offsetControl, masterControl) cmds.makeIdentity(offsetControl, apply = True) cmds.setAttr(offsetControl + ".overrideEnabled", 1) cmds.setAttr(offsetControl + ".overrideColor", 17) #ROOT ANIM rootControl = utils.createControl("sphere", 10, "root_anim") constraint = cmds.parentConstraint("driver_root", rootControl)[0] cmds.delete(constraint) cmds.parent(rootControl, masterControl) cmds.makeIdentity(rootControl, apply = True) cmds.parentConstraint(rootControl, "driver_root") cmds.setAttr(rootControl + ".overrideEnabled", 1) cmds.setAttr(rootControl + ".overrideColor", 30) for attr in [".sx", ".sy", ".sz", ".v"]: cmds.setAttr(masterControl + attr, lock = True, keyable = False) cmds.setAttr(offsetControl + attr, lock = True, keyable = False) cmds.setAttr(rootControl + attr, lock = True, keyable = False) #Create the group that will hold all of the control rig components rigGrp = cmds.group(empty = True, name = "ctrl_rig") cmds.parent(rigGrp, "offset_anim") #finish grouping everything under 1 character grp controlRigGrp = cmds.group(empty = True, name = "rig_grp") cmds.parent(["driver_root", "master_anim_space_switcher_follow"], controlRigGrp) cmds.parent("Rig_Settings", controlRigGrp) if cmds.objExists("Proxy_Geo_Skin_Grp"): cmds.parent("Proxy_Geo_Skin_Grp", controlRigGrp) returnNodes = [rigGrp, offsetControl] return returnNodes

7,043

0.50788

601

7,043

5.896839

0.282862

0.058973

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0.073363

0.296275

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0.143905

0

0.005207

0.31833

7,043

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0

0.146067

0

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0

null

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null

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0

null

0

1

0

null

0

1

0

4

b14cc692d63f00593c3f132d4912eb7477fb5499

22,313

py

Python

adminlte/static/plugins/datatables/extensions/Responsive/examples/initialisation/new.html.py

dnaextrim/django_adminlte_x

9150288a0d6c4bdb1d423345fac0d5e3c7e8406e

[ "MIT" ]

4

2017-02-14T09:51:23.000Z

2018-12-04T04:40:32.000Z

adminlte/static/plugins/datatables/extensions/Responsive/examples/initialisation/new.html.py

dnaextrim/django_adminlte_x

9150288a0d6c4bdb1d423345fac0d5e3c7e8406e

[ "MIT" ]

1

2017-05-31T18:07:16.000Z

2017-06-02T07:07:30.000Z

adminlte/static/plugins/datatables/extensions/Responsive/examples/initialisation/new.html.py

dnaextrim/django_adminlte_x

9150288a0d6c4bdb1d423345fac0d5e3c7e8406e

[ "MIT" ]

2

2018-03-09T12:34:01.000Z

2019-11-07T03:20:24.000Z

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XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXX XXXX XXXXXXXXXXXXXX XXXXXX XXXX XXXXX XXXXX XX XXX XXX XXXX XXXXX XXXXXXXX XXXXXX XX XXX XXXX XXXXXXXX XX XXXXXXXXXXXXXXX XXXXXX XXXX XXXXXXXXXXXX XXXXX XXXXXXX XXXXXXX XXXX X XXXXXX XXX XX XXXXXXXXXX XXX XXXXXX XXXX XX XXXXXX XXXX XXX XXXXXXX XXXXX XXXXXXXX XX XXXXX XX XXXXXXXXX XXXXXXX XXX XXXXXX XXX XXXXXXXXXX XXX XXXX XX XXXXX XXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXX X XXXXXXXXXX XXXXXX XXXXXXXX XXXXXX XXXXXX XXXXXXXXX XXX XXXXXXX XXXXX XXX XXXXXX XXX XXX XX XXXX XXXXXXX XX XXXXXXX XXX XXXXXXX XX XXX XXXXXXXXXX XXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXX XXXX XXXXXXXXXXXXX XXXXXXX XXXXX XXXXX XXXX XX XXXXX XXX XXXXXX XXXX XXXX XXX XXXX XXXXXX XX XXXXX XXXXXX XXXX XXXX XXXX XXXXXX XXXXXXXXXXXXX XX XXX XXXXXXXXXX XXXX XX XXXXXXXXXXX XXXXXX XXXX XXXXXXXXXXXX XXXXXX XXXXXX XXXX XX XXXXXXX XXX XXXXXXXXXXX XXXXXXXXXX XXX XXXX XXXXX XX XXXXX XXXXXX XXXXXX XXXX XXXX XXXX XX XXXX XX XXXXXXX XXXXXX XXXXX XXXX XXXXXXXXXXX XXXXXXXXXX XXXXXXX XXX XX XXXXXXX XX XXX XXXXXXXXX XXXXX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXX XXXXXXXXX XX XXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXX XXXXXXXXXX XXXXXX XXXXXXXXX XXXX XXXXXXXXXXXXXXX XXXX XXXXXXXXXXXXXXXXXXXXXXX XXXX XXXXXXXXXXXXXX XXXXXXXXX XXXXXXXXXXXXX XXXX XXXXXXXXXXXX XXXX XXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXX XXX XXXXXXXXXX XXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXX XXX XXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXX XXXX XXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXX XXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXX XXXXXX XXXX XXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXX XXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX XXXXXXXX X XXXXXXXXXXXXXXXXX XXXXX XXXXXX XXXX XXXXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXX XXX XXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXX XXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX X XXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXX XXXXX XXX XXXXXXXXXXXXXXXX XXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXX XXXXXXXXXXXXXXXXX XXXXX XXXXXX XXXXXX XXXX XXXXXXXXXXXXXXXXX XXXXXXXXX XXXXX XX XXX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXX XXX XXXX XXXXXXXXXXX XXXXX XXX XXX XXXXXXXXXX XXX XXXXXXXXXXXX XXXXXXXXXXXXX XXXXX XXX X XXXX XXXXX XX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXX XXXXXX XXX XXXXXXXXXXXX XX XXXXXXXXXXXXXXX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXX XXX XXXXXXX XX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX XXXXXX XXXXXXXXXXXXX XXXXXXXXXX XX XXXXXXXX XXXXX XXX XX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXX XXXXXX XXXXXX XXXXXX XXXXXXXXXX XXXXXXX XXXXXXX

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0.746471

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22,313

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1

0

1

0

null

0

1

0

4

b155b44504edcbf866515778ccd5d2d75afdc143

85

py

Python

timer/apps.py

hughest64/brew_app

f450e9923e6242b3c37dc3934af6ab540c39999f

[ "MIT" ]

null

timer/apps.py

hughest64/brew_app

f450e9923e6242b3c37dc3934af6ab540c39999f

[ "MIT" ]

null

timer/apps.py

hughest64/brew_app

f450e9923e6242b3c37dc3934af6ab540c39999f

[ "MIT" ]

null

from django.apps import AppConfig class TimerConfig(AppConfig): name = 'timer'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

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0

0.333333

0

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1

0

null

0

1

0

null

0

1

0

1

0

4

b17cbe66fbdb27e4d7d3969d0e006610a81fa62a

269

py

Python

email.py

mtencza8/Lead-Search-Tool

10613a420b472c01fc642a074ab323f766f0ccf1

[ "MIT" ]

null

email.py

mtencza8/Lead-Search-Tool

10613a420b472c01fc642a074ab323f766f0ccf1

[ "MIT" ]

null

email.py

mtencza8/Lead-Search-Tool

10613a420b472c01fc642a074ab323f766f0ccf1

[ "MIT" ]

null

def chooseformat(): print("1.) fnamelname") print("2.) fname.lname") print("3.) fname_lname") print("4.) finitlname") print("5.) finit.lname") print("6.) finit_lname") print("7.) fname") input("Choose a format to begin with: ")

14.944444

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269

4.441176

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0.264901

0.198676

0

0.034146

0.237918

269

17

46

15.823529

0.702439

0

0.492366

0

1

0.111111

true

0

0.111111

0.777778

0

null

1

0

null

0

1

0

1

0

4

b18378f866649c17ee6e5d7a3bbd15f7be9aa446

85

py

Python

docs/authors.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

docs/authors.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

docs/authors.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

from scripts import docs docs.from_markdown(source="AUTHORS.md", target="authors")

17

57

0.776471

12

85

5.416667

0.75

0

0.094118

85

4

58

21.25

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0

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0

null

0

1

0

1

0

4

b19f5786fb2c62c1a04d47e74177c528fc0bfd0c

451

py

Python

builder/Builder Pattern/Builder/director.py

Tomvictor/python-design-patterns

6b99607d721bbe03d26a0a451a10e88cd1c1d112

[ "MIT" ]

null

builder/Builder Pattern/Builder/director.py

Tomvictor/python-design-patterns

6b99607d721bbe03d26a0a451a10e88cd1c1d112

[ "MIT" ]

null

builder/Builder Pattern/Builder/director.py

Tomvictor/python-design-patterns

6b99607d721bbe03d26a0a451a10e88cd1c1d112

[ "MIT" ]

null

class Director(object): def __init__(self, builder): self._builder = builder def build_computer(self): self._builder.new_computer() self._builder.get_case() self._builder.build_mainboard() self._builder.install_mainboard() self._builder.install_hard_drive() self._builder.install_video_card() def get_computer(self): return self._builder.get_computer()

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0.643016

49

451

5.44898

0.387755

0.370787

0.202247

0

0.261641

451

17

45

26.529412

0.801802

0

1

0.25

false

0

0.083333

0.416667

0

null

1

0

null

0

1

0

4

490fb11799093eb96470f367862b747446306cac

269

py

Python

pset7/adventure/item.py

czhongyu/programming1

9c531b2b3622cb6aa447f0246a95bdce3fe9b9cd

[ "MIT" ]

null

pset7/adventure/item.py

czhongyu/programming1

9c531b2b3622cb6aa447f0246a95bdce3fe9b9cd

[ "MIT" ]

null

pset7/adventure/item.py

czhongyu/programming1

9c531b2b3622cb6aa447f0246a95bdce3fe9b9cd

[ "MIT" ]

null

class Item(): def __init__(self, name, description): # name and description self.name = name self.description = description def __str__(self): # print item's name and description return f"{self.name}: {self.description}"

29.888889

49

0.620818

31

269

5.129032

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0.150943

0.226415

0

0.27881

269

9

49

29.888889

0.819588

0.200743

0

0.14554

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

492a46601812962f45de8b3f86f3c393713184af

1,267

py

Python

backend/project/users/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/users/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/users/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2020-11-02 21:14 import django.core.files.storage from django.db import migrations import django_resized.forms class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AlterField( model_name='enduser', name='avatar', field=django_resized.forms.ResizedImageField(crop=None, default='https://winoutt-prod.s3.us-east-2.amazonaws.com/assets/default-avatar.png', force_format=None, keep_meta=True, quality=75, size=[200, 200], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/users/static/users/profile_images/'), upload_to=''), ), migrations.AlterField( model_name='enduser', name='avatar_original', field=django_resized.forms.ResizedImageField(crop=None, default='https://winoutt-prod.s3.us-east-2.amazonaws.com/assets/default-avatar.png', force_format=None, keep_meta=True, quality=75, size=[1920, 1080], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/users/static/users/profile_images/'), upload_to=''), ), ]

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0

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0

1

0

1

0

1

0

null

0

4

4973c6f101c4ca80c4de1565af88105586bd7d3d

231

py

Python

twkit/curation/__init__.py

evaperon/twAwler

8e9f2064cad846177ed6547b9f56f053226a2d5e

[ "Apache-2.0" ]

5

2018-12-06T16:14:14.000Z

2020-05-22T07:36:45.000Z

twkit/curation/__init__.py

evaperon/twAwler

8e9f2064cad846177ed6547b9f56f053226a2d5e

[ "Apache-2.0" ]

null

twkit/curation/__init__.py

evaperon/twAwler

8e9f2064cad846177ed6547b9f56f053226a2d5e

[ "Apache-2.0" ]

3

2020-04-20T07:20:18.000Z

2021-08-19T17:31:38.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- ########################################### # (c) 2016-2020 Polyvios Pratikakis # polyvios@ics.forth.gr ########################################### #__all__ = ['utils'] ''' empty '''

23.1

43

0.380952

19

231

4.421053

0.947368

0

0.048077

0.099567

231

9

44

25.666667

0.355769

0.541126

0

null

0

null

0

null

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null

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null

true

0

null

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null

0

1

0

1

0

null

0

1

0

4

49960099c31839fb5bda6b3a874e181b2d6b6d1e

75

py

Python

context.py

hwknsj/synergy_flow

aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136

[ "BSD-3-Clause" ]

null

context.py

hwknsj/synergy_flow

aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136

[ "BSD-3-Clause" ]

1

2016-10-03T18:48:15.000Z

2019-11-01T21:53:30.000Z

context.py

hwknsj/synergy_flow

aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136

[ "BSD-3-Clause" ]

1

2019-11-02T00:45:26.000Z

# empty # module is required to initialized synergy.conf and run unit tests

37.5

67

0.8

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75

5

1

0

0.16

75

2

67

37.5

0.952381

0.946667

0

null

0

null

0

null

0

null

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null

true

0

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1

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0

1

0

1

0

null

0

1

0

4

b8ca80ba58c78bde6b5b12e66a0b5d7700b38aff

171

py

Python

test_custom/models.py

AllFactors/django-organizations

df079e97f8c88214bcdc0b87d2717a8b5323bc4f

[ "BSD-2-Clause" ]

855

2015-01-06T21:08:34.000Z

2022-03-31T04:24:49.000Z

test_custom/models.py

AllFactors/django-organizations

df079e97f8c88214bcdc0b87d2717a8b5323bc4f

[ "BSD-2-Clause" ]

156

2015-02-09T01:51:40.000Z

2022-03-29T22:23:01.000Z

test_custom/models.py

AllFactors/django-organizations

df079e97f8c88214bcdc0b87d2717a8b5323bc4f

[ "BSD-2-Clause" ]

186

2015-01-21T06:21:59.000Z

2022-03-29T12:44:24.000Z

from django.db import models from organizations.models import Organization class Team(Organization): sport = models.CharField(max_length=100, blank=True, null=True)

24.428571

67

0.795322

23

171

5.869565

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0

0.02

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171

6

68

28.5

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0

1

0

false

0

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null

0

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1

0

4

b8ec9f30d72579a15d3c687c74c2bb88022649cd

5,141

py

Python

test/hummingbot/connector/derivative/bybit_perpetual/test_bybit_perpetual_utils.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

3,027

2019-04-04T18:52:17.000Z

2022-03-30T09:38:34.000Z

test/hummingbot/connector/derivative/bybit_perpetual/test_bybit_perpetual_utils.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

4,080

2019-04-04T19:51:11.000Z

2022-03-31T23:45:21.000Z

test/hummingbot/connector/derivative/bybit_perpetual/test_bybit_perpetual_utils.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

1,342

2019-04-04T20:50:53.000Z

2022-03-31T15:22:36.000Z

import pandas as pd from unittest import TestCase from unittest.mock import patch from hummingbot.connector.derivative.bybit_perpetual import bybit_perpetual_constants as CONSTANTS, bybit_perpetual_utils as utils class BybitPerpetualUtilsTests(TestCase): @patch('hummingbot.connector.derivative.bybit_perpetual.bybit_perpetual_utils.get_tracking_nonce') def test_client_order_id_creation(self, nonce_provider_mock): nonce_provider_mock.return_value = int(1e15) self.assertEqual("HBOT-B-BTC-USDT-1000000000000000", utils.get_new_client_order_id(True, "BTC-USDT")) nonce_provider_mock.return_value = int(1e15) + 1 self.assertEqual("HBOT-S-ETH-USDT-1000000000000001", utils.get_new_client_order_id(False, "ETH-USDT")) def test_trading_pair_convertion(self): trading_pair = "BTC-USDT" self.assertEqual("BTCUSDT", utils.convert_to_exchange_trading_pair(trading_pair)) def test_rest_api_path_for_endpoint(self): endpoint = {"linear": "/testEndpoint/linear", "non_linear": "/testEndpoint/non_linear"} api_path = utils.rest_api_path_for_endpoint(endpoint=endpoint) self.assertEqual("/testEndpoint/non_linear", api_path) api_path = utils.rest_api_path_for_endpoint(endpoint=endpoint, trading_pair="BTC-USD") self.assertEqual("/testEndpoint/non_linear", api_path) api_path = utils.rest_api_path_for_endpoint(endpoint=endpoint, trading_pair="BTC-USDT") self.assertEqual("/testEndpoint/linear", api_path) def test_rest_api_url(self): endpoint = "/testEndpoint" url = utils.rest_api_url_for_endpoint(endpoint=endpoint, domain=None, ) self.assertEqual(CONSTANTS.REST_URLS.get("bybit_perpetual_main") + "/testEndpoint", url) url = utils.rest_api_url_for_endpoint(endpoint=endpoint, domain="bybit_perpetual_main") self.assertEqual(CONSTANTS.REST_URLS.get("bybit_perpetual_main") + "/testEndpoint", url) url = utils.rest_api_url_for_endpoint(endpoint=endpoint, domain="bybit_perpetual_testnet") self.assertEqual(CONSTANTS.REST_URLS.get("bybit_perpetual_testnet") + "/testEndpoint", url) def test_wss_linear_public_url(self): url = utils.wss_linear_public_url(None) self.assertEqual(CONSTANTS.WSS_LINEAR_PUBLIC_URLS.get("bybit_perpetual_main"), url) url = utils.wss_linear_public_url("bybit_perpetual_main") self.assertEqual(CONSTANTS.WSS_LINEAR_PUBLIC_URLS.get("bybit_perpetual_main"), url) url = utils.wss_linear_public_url("bybit_perpetual_testnet") self.assertEqual(CONSTANTS.WSS_LINEAR_PUBLIC_URLS.get("bybit_perpetual_testnet"), url) def test_wss_linear_private_url(self): url = utils.wss_linear_private_url(None) self.assertEqual(CONSTANTS.WSS_LINEAR_PRIVATE_URLS.get("bybit_perpetual_main"), url) url = utils.wss_linear_private_url("bybit_perpetual_main") self.assertEqual(CONSTANTS.WSS_LINEAR_PRIVATE_URLS.get("bybit_perpetual_main"), url) url = utils.wss_linear_private_url("bybit_perpetual_testnet") self.assertEqual(CONSTANTS.WSS_LINEAR_PRIVATE_URLS.get("bybit_perpetual_testnet"), url) def test_wss_non_linear_public_url(self): url = utils.wss_non_linear_public_url(None) self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PUBLIC_URLS.get("bybit_perpetual_main"), url) url = utils.wss_non_linear_public_url("bybit_perpetual_main") self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PUBLIC_URLS.get("bybit_perpetual_main"), url) url = utils.wss_non_linear_public_url("bybit_perpetual_testnet") self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PUBLIC_URLS.get("bybit_perpetual_testnet"), url) def test_wss_non_linear_private_url(self): url = utils.wss_non_linear_private_url(None) self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PRIVATE_URLS.get("bybit_perpetual_main"), url) url = utils.wss_non_linear_private_url("bybit_perpetual_main") self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PRIVATE_URLS.get("bybit_perpetual_main"), url) url = utils.wss_non_linear_private_url("bybit_perpetual_testnet") self.assertEqual(CONSTANTS.WSS_NON_LINEAR_PRIVATE_URLS.get("bybit_perpetual_testnet"), url) def test_get_next_funding_timestamp(self): # Simulate 01:00 UTC timestamp = pd.Timestamp("2021-08-21-01:00:00", tz="UTC").timestamp() expected_ts = pd.Timestamp("2021-08-21-08:00:00", tz="UTC").timestamp() self.assertEqual(expected_ts, utils.get_next_funding_timestamp(timestamp)) # Simulate 09:00 UTC timestamp = pd.Timestamp("2021-08-21-09:00:00", tz="UTC").timestamp() expected_ts = pd.Timestamp("2021-08-21-16:00:00", tz="UTC").timestamp() self.assertEqual(expected_ts, utils.get_next_funding_timestamp(timestamp)) # Simulate 17:00 UTC timestamp = pd.Timestamp("2021-08-21-17:00:00", tz="UTC").timestamp() expected_ts = pd.Timestamp("2021-08-22-00:00:00", tz="UTC").timestamp() self.assertEqual(expected_ts, utils.get_next_funding_timestamp(timestamp))

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py

Python

src/meetings/models/__init__.py

torakses/unicornis-challenge

d7d1ae57e9bec05b942b6eec469e45f449f3bcc4

[ "MIT" ]

null

src/meetings/models/__init__.py

torakses/unicornis-challenge

d7d1ae57e9bec05b942b6eec469e45f449f3bcc4

[ "MIT" ]

null

src/meetings/models/__init__.py

torakses/unicornis-challenge

d7d1ae57e9bec05b942b6eec469e45f449f3bcc4

[ "MIT" ]

null

from .meeting import Meeting from .issue import Issue from .document import Document from .attendance import Attendance __all__ = ("Meeting", "Issue", "Document", "Attendance")

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py

Python

goods/apps.py

dcopm999/pharmcrm2-goods

2d5878c9f2854f65b8ebf84faccb798865568d9b

[ "MIT" ]

null

goods/apps.py

dcopm999/pharmcrm2-goods

2d5878c9f2854f65b8ebf84faccb798865568d9b

[ "MIT" ]

null

goods/apps.py

dcopm999/pharmcrm2-goods

2d5878c9f2854f65b8ebf84faccb798865568d9b

[ "MIT" ]

null

# -*- coding: utf-8 from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class GoodsConfig(AppConfig): name = "goods" verbose_name = _("goods")

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7736caf1365f93b0eb747793fb2705b5725bf661

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py

Python

omgwords-agent/migrations/0023_user_remove_pb_fields.py

ddugovic/omgwords-agent

4f9b7632a3c6e10985b77de9f91ce323857b4ec2

[ "MIT" ]

null

omgwords-agent/migrations/0023_user_remove_pb_fields.py

ddugovic/omgwords-agent

4f9b7632a3c6e10985b77de9f91ce323857b4ec2

[ "MIT" ]

null

omgwords-agent/migrations/0023_user_remove_pb_fields.py

ddugovic/omgwords-agent

4f9b7632a3c6e10985b77de9f91ce323857b4ec2

[ "MIT" ]

null

# Generated by Django 2.2.4 on 2020-04-03 04:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('omgwords-agent', '0022_populate_scorepb'), ] operations = [ migrations.RemoveField( model_name='user', name='ntsc_pb', ), migrations.RemoveField( model_name='user', name='ntsc_pb_19', ), migrations.RemoveField( model_name='user', name='ntsc_pb_19_updated_at', ), migrations.RemoveField( model_name='user', name='ntsc_pb_updated_at', ), migrations.RemoveField( model_name='user', name='pal_pb', ), migrations.RemoveField( model_name='user', name='pal_pb_updated_at', ), ]

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773926e3c66baaa7fdc6d72eb50466a565b178a8

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py

Python

api/serializers.py

ReaperZ0v/music-recommender-rest-api

d503052f293b47e78ed3dceb60301ef198a63475

[ "MIT" ]

1

2021-07-24T19:21:42.000Z

api/serializers.py

ReaperZ0v/music-recommender-rest-api

d503052f293b47e78ed3dceb60301ef198a63475

[ "MIT" ]

null

api/serializers.py

ReaperZ0v/music-recommender-rest-api

d503052f293b47e78ed3dceb60301ef198a63475

[ "MIT" ]

null

from rest_framework import serializers from . import models class RecommenderSerializer(serializers.ModelSerializer): class Meta: model = models.Album fields = ('title', 'artist', 'genre')

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773a4476f54664d59d2880df6577ccbfbdd382d7

4,044

py

Python

terminator/search.py

IBM/regression-transformer

dfc5a48fbc30022a15c1ba542ef15fb61651c1e7

[ "MIT" ]

3

2022-02-06T12:09:56.000Z

2022-02-09T08:12:43.000Z

terminator/search.py

IBM/regression-transformer

dfc5a48fbc30022a15c1ba542ef15fb61651c1e7

[ "MIT" ]

null

terminator/search.py

IBM/regression-transformer

dfc5a48fbc30022a15c1ba542ef15fb61651c1e7

[ "MIT" ]

1

2022-02-13T19:04:52.000Z

"""Decoding utilities.""" import torch import transformers from torch import nn from .utils import get_device class Search(nn.Module): """Base search class.""" def __init__(self, *args, **kwargs): super().__init__() self.device = get_device() def forward(self, logits: torch.Tensor) -> object: """ Error handling. Args: logits: torch.Tensor (Tensor): the model's logits. (batch_size, length, vocabulary_size) Returns: object: the search output. """ if not len(logits.shape) == 3: raise ValueError(f"Logits need to be 3D Tensor, was: {logits.shape}") if not type(logits) == torch.Tensor: raise TypeError(f"Logits need to be torch.Tensor, was: {type(logits)}") def step(self, logits: torch.Tensor) -> object: """ Error handling. Args: logits: torch.Tensor (Tensor): the model's logits. (batch_size, vocabulary_size) Returns: object: the search output. """ if len(logits.shape) > 3: raise ValueError(f"Logits need to be 2D or 3D Tensor, was: {logits.shape}") if not type(logits) == torch.Tensor: raise TypeError(f"Logits need to be torch.Tensor, was: {type(logits)}") class GreedySearch(Search): """"Greedy search.""" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) def forward(self, logits: torch.Tensor) -> torch.Tensor: """ Perform the greedy search. Args: logits: torch.Tensor (Tensor): the model's logits. (batch_size, length, vocabulary_size) Returns: torch.Tensor: the token indexes selected. (batch_size, length) """ super().forward(logits) return torch.argmax(logits, 2) def step(self, logits: torch.Tensor) -> torch.Tensor: """ Perform a greedy search step. Args: logits (torch.Tensor): the model's logits. (batch_size, vocabulary_size) Returns: torch.Tensor: the token indexes for all the batch. (batch_size, 1). """ super().step(logits) return torch.argmax(logits, 1, keepdim=True) class SamplingSearch(Search): """"Sampling search.""" def __init__(self, temperature: float = 1.0, *args, **kwargs): """ Initialize the sampling search. Args: temperature (float, optional): temperature parameter. Defaults to 1.0, a.k.a., no temperature. Temperature < 1 results in a more descriminative softmax, > 1 in a flatter distribution. """ super().__init__(*args, **kwargs) self.temperature = temperature def forward(self, logits: torch.Tensor) -> torch.Tensor: """ Perform the sampling search. Args: logits: torch.Tensor (Tensor): the model's logits. (batch_size, length, vocabulary_size) Returns: torch.Tensor: the token indexes selected. (batch_size, length) """ super().forward(logits) probabilities = torch.softmax(logits.div(self.temperature), 2) return torch.stack( [torch.multinomial(probability, 1) for probability in probabilities] ).squeeze(dim=-1) def step(self, logits: torch.Tensor) -> torch.Tensor: """ Perform a sampling search step. Args: logits (torch.Tensor): the model's logits. (batch_size, vocabulary_size) Returns: torch.Tensor: the token indexes for all the batch. (batch_size, 1). """ super().step(logits) probabilities = torch.softmax(logits.div(self.temperature), 1) return torch.stack( [torch.multinomial(probability, 1) for probability in probabilities] ) SEARCH_FACTORY = {"greedy": GreedySearch, "sample": SamplingSearch}

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773d3c9430b7cd21a08ccb111b7aae9cabff7525

136

py

Python

apiaiWebhookSerializer/request.py

dusterherz/apiai-python-webhook-objects

e3f7ec54a1889af84941ae26fed2fcbd44664b6d

[ "MIT" ]

2

2017-04-28T12:34:05.000Z

2017-05-03T16:01:48.000Z

apiaiWebhookSerializer/request.py

dusterherz/apiai-python-webhook-serializer

e3f7ec54a1889af84941ae26fed2fcbd44664b6d

[ "MIT" ]

null

apiaiWebhookSerializer/request.py

dusterherz/apiai-python-webhook-serializer

e3f7ec54a1889af84941ae26fed2fcbd44664b6d

[ "MIT" ]

null

import json from addict import Dict class Request: def __init__(self, data): self.__dict__.update(Dict(json.loads(data)))

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774d1fab9bd1958ff65a2095000d7ee992d16d20

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py

Python

simulator/__init__.py

AlphaLambdaMuPi/AlphaPiAr

f1b6cf4eda6afcd9d65d0db5f54ad38953679d5f

[ "MIT" ]

null

simulator/__init__.py

AlphaLambdaMuPi/AlphaPiAr

f1b6cf4eda6afcd9d65d0db5f54ad38953679d5f

[ "MIT" ]

null

simulator/__init__.py

AlphaLambdaMuPi/AlphaPiAr

f1b6cf4eda6afcd9d65d0db5f54ad38953679d5f

[ "MIT" ]

null

# simulator from .main import run_server __all__ = [run_server]

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6239eb33536ce99d0405142a10d99839541abe72

32

py

Python

cogeo_mosaic_plugins/scripts/__init__.py

developmentseed/cogeo-mosaic-plugins

b5217fd493f765215f42a3119193da9cb396397a

[ "MIT" ]

2

2021-01-11T17:23:55.000Z

2021-01-21T00:41:17.000Z

cogeo_mosaic_plugins/scripts/__init__.py

developmentseed/cogeo-mosaic-plugins

b5217fd493f765215f42a3119193da9cb396397a

[ "MIT" ]

2

2021-01-11T19:31:44.000Z

2021-01-22T02:01:50.000Z

cogeo_mosaic_plugins/scripts/__init__.py

developmentseed/cogeo-mosaic-plugins

b5217fd493f765215f42a3119193da9cb396397a

[ "MIT" ]

1

2021-01-24T07:17:29.000Z

"""cogeo_mosaic_plugins cli."""

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623c2af61d57923753cdc6f882f46387f441734f

545

py

Python

instant/tests/test_utils.py

synw/django-instant

693b5da5064a4822a3620ef0d078fac07e3d41a2

[ "MIT" ]

103

2016-08-30T16:15:41.000Z

2022-03-01T18:22:34.000Z

instant/tests/test_utils.py

synw/django-instant

693b5da5064a4822a3620ef0d078fac07e3d41a2

[ "MIT" ]

22

2016-10-31T10:51:07.000Z

2021-05-31T11:44:49.000Z

instant/tests/test_utils.py

synw/django-instant

693b5da5064a4822a3620ef0d078fac07e3d41a2

[ "MIT" ]

13

2017-01-20T22:05:41.000Z

2021-07-26T13:53:28.000Z

from .base import InstantBaseTest from instant.init import ensure_channel_is_private class InstantTestUtils(InstantBaseTest): def test_ensure_channel_is_private(self): name = ensure_channel_is_private("$chan") self.assertEqual(name, "$chan") name = ensure_channel_is_private("chan") self.assertEqual(name, "$chan") name = ensure_channel_is_private("ns:$chan") self.assertEqual(name, "ns:$chan") name = ensure_channel_is_private("ns:chan") self.assertEqual(name, "ns:$chan")

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null

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6241df608ca00d7e5961730cfc6b7d1bc6794cac

195

py

Python

tools/make/setup_nanomsg.py

synthetic-sky/Synth

0a29fd6aa9a723328c5e5c6c63c9532340409964

[ "MIT" ]

1

2021-07-11T08:44:08.000Z

tools/make/setup_nanomsg.py

synthetic-sky/Synth

0a29fd6aa9a723328c5e5c6c63c9532340409964

[ "MIT" ]

null

tools/make/setup_nanomsg.py

synthetic-sky/Synth

0a29fd6aa9a723328c5e5c6c63c9532340409964

[ "MIT" ]

null

import sh sh.cd ("ext/deps/") sh.wget ("http://download.nanomsg.org/nanomsg-0.3-beta.tar.gz") sh.tar ("xzf", "nanomsg-0.3-beta.tar.gz") sh.cd ("nanomsg-0.3-beta") sh.sh ("configure") sh.make ()

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1

0

null

0

1

0

4

6244e8aa34d145c42362dbcbb48589e94a319b85

9,213

py

Python

test/test_pycw_client.py

davidhwyllie/findNeighbour4

d42e10711e59e93ebf0e798fbb1598929f662c9c

[ "MIT" ]

null

test/test_pycw_client.py

davidhwyllie/findNeighbour4

d42e10711e59e93ebf0e798fbb1598929f662c9c

[ "MIT" ]

14

2021-11-26T14:43:25.000Z

2022-03-22T00:39:17.000Z

test/test_pycw_client.py

davidhwyllie/findNeighbour4

d42e10711e59e93ebf0e798fbb1598929f662c9c

[ "MIT" ]

null

""" runs unittest for pycw_client A component of the findNeighbour4 system for bacterial relatedness monitoring Copyright (C) 2021 David Wyllie david.wyllie@phe.gov.uk repo: https://github.com/davidhwyllie/findNeighbour4 This program is free software: you can redistribute it and/or modify it under the terms of the MIT License as published by the Free Software Foundation. See <https://opensource.org/licenses/MIT>, and the LICENSE file. """ import unittest import requests from catwalk.pycw_client import CatWalk from findn.mongoStore import fn3persistence ## persistence unit tests UNITTEST_MONGOCONN: str = "mongodb://localhost" # unit tests class test_cwclient(unittest.TestCase): """starts server, and shuts it down""" def setUp(self): """cw_binary_filepath must point to the catwalk server and mask & reference files to the relevant data files. Note: requires CW_BINARY_FILEPATH environment variable to point to the catwalk binary.""" self.cw = CatWalk( cw_binary_filepath=None, reference_name="H37RV", reference_filepath="reference/TB-ref.fasta", mask_filepath="reference/TB-exclude-adaptive.txt", max_n_positions=130000, bind_host="localhost", bind_port=5999, ) # stop the server if it is running self.cw.stop() self.assertFalse(self.cw.server_is_running()) self.cw.start() self.assertTrue(self.cw.server_is_running()) def teardown(self): self.cw.stop() pass class test_cwclient_1(test_cwclient): """tests server startup, shutdown, info(), and the server_is_running method. Shuts down **any catwalk server** running initially""" def runTest(self): self.cw.stop() self.assertFalse(self.cw.server_is_running()) self.cw.start() self.assertTrue(self.cw.server_is_running()) # try to start another one. Should refuse to do so, and ignore the request. # if it does not, and 2 are started, server_is_running() will raise an error. self.cw.start() self.assertTrue(self.cw.server_is_running()) self.assertIsInstance(self.cw.info(), dict) self.cw.stop() self.assertFalse(self.cw.server_is_running()) class test_cwclient_2(test_cwclient): """tests insert""" def runTest(self): # two sequences are similar to each other payload1 = { "A": [100000, 100001, 100002], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } payload2 = { "A": [100003, 100004, 100005], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } # one is 10000 nt different payload3 = { "A": list(range(110000, 120000)), "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } res = self.cw.add_sample_from_refcomp("guid1", payload1) self.assertEqual(res, 201) res = self.cw.add_sample_from_refcomp("guid2", payload2) self.assertEqual(res, 201) res = self.cw.add_sample_from_refcomp("guid2", payload2) # insert twice self.assertEqual(res, 200) res = self.cw.add_sample_from_refcomp("guid3", payload3) # insert once self.assertEqual(res, 201) self.assertEqual(self.cw.neighbours("guid1"), [("guid2", 6)]) self.assertEqual(self.cw.neighbours("guid2"), [("guid1", 6)]) self.assertEqual(self.cw.neighbours("guid3"), []) # should be empty self.assertEqual( self.cw.neighbours("guid1", distance=7), [("guid2", 6)] ) # should be guid2 self.assertEqual( self.cw.neighbours("guid1", distance=6), [("guid2", 6)] ) # should be guid2 self.assertEqual(self.cw.neighbours("guid1", distance=5), []) # should be empty with self.assertRaises(requests.exceptions.HTTPError): res = self.cw.neighbours("guid4") # should raise 404 class test_cwclient_3(test_cwclient): """tests list_samples""" def runTest(self): payload1 = { "A": [1000, 1001, 1002], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } payload2 = { "A": [1003, 1004, 1005], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } self.cw.add_sample_from_refcomp("guid1", payload1) self.cw.add_sample_from_refcomp("guid2", payload2) self.assertEqual( set(self.cw.sample_names()), set(["guid1", "guid2"]) ) # order doesn't matter class test_cwclient_4(test_cwclient): """tests remove_sample""" def runTest(self): payload1 = { "A": [1000, 1001, 1002], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } payload2 = { "A": [1003, 1004, 1005], "G": [], "T": [], "C": [], "N": [20000, 20001, 20002], } self.cw.add_sample_from_refcomp("guid1", payload1) self.cw.add_sample_from_refcomp("guid2", payload2) self.assertEqual( set(self.cw.sample_names()), set(["guid1", "guid2"]) ) # order doesn't matter self.cw.remove_sample("guid1") self.assertEqual( set(self.cw.sample_names()), set(["guid2"]) ) # order doesn't matter self.cw.remove_sample("guid2") self.assertEqual(set(self.cw.sample_names()), set([])) # order doesn't matter # add guid2 again self.cw.add_sample_from_refcomp("guid2", payload2) self.assertEqual( set(self.cw.sample_names()), set(["guid2"]) ) # order doesn't matter class test_cwclient_lockmanager(unittest.TestCase): """tests impact of provision of invalid vs. valid lockmanager""" def runTest(self): """cw_binary_filepath must point to the catwalk server and mask & reference files to the relevant data files. Shuts down **any catwalk server** running initially. Note: requires CW_BINARY_FILEPATH environment variable to point to the catwalk binary.""" # invalid lock manager: pass an integer instead of a fn3persistence object with self.assertRaises(TypeError): CatWalk( cw_binary_filepath=None, reference_name="H37RV", reference_filepath="reference/TB-ref.fasta", mask_filepath="reference/TB-exclude-adaptive.txt", max_n_positions=130000, bind_host="localhost", bind_port=5999, lockmanager=6, ) p = fn3persistence(connString=UNITTEST_MONGOCONN, debug=2) CatWalk( cw_binary_filepath=None, reference_name="H37RV", reference_filepath="reference/TB-ref.fasta", mask_filepath="reference/TB-exclude-adaptive.txt", max_n_positions=130000, bind_host="localhost", bind_port=5999, lockmanager=p, ) class test_cwclient_p(unittest.TestCase): """starts server, and shuts it down""" def setUp(self): """cw_binary_filepath must point to the catwalk server and mask & reference files to the relevant data files. Note: requires CW_BINARY_FILEPATH environment variable to point to the catwalk binary.""" p = fn3persistence(connString=UNITTEST_MONGOCONN, debug=2) p.lock(2, "Test") # test lock print(p.lock_status(2)) p.unlock(2, force=True) # unlock any existing locks print(p.lock_status(2)) self.cw = CatWalk( cw_binary_filepath=None, reference_name="H37RV", reference_filepath="reference/TB-ref.fasta", mask_filepath="reference/TB-exclude-adaptive.txt", max_n_positions=130000, bind_host="localhost", bind_port=5999, lockmanager=p, ) # stop the server if it is running self.cw.stop() self.assertFalse(self.cw.server_is_running()) self.cw.start() self.assertTrue(self.cw.server_is_running()) def teardown(self): self.cw.stop() pass class test_cwclient_1p(test_cwclient_p): """tests server startup, shutdown, info(), and the server_is_running method using a lock manager.""" def runTest(self): self.cw.stop() self.assertFalse(self.cw.server_is_running()) self.cw.start() self.assertTrue(self.cw.server_is_running()) # try to start another one. Should refuse to do so, and ignore the request. # if it does not, and 2 are started, server_is_running() will raise an error. self.cw.start() self.assertTrue(self.cw.server_is_running()) self.assertIsInstance(self.cw.info(), dict) self.cw.stop() self.assertFalse(self.cw.server_is_running())

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6255b4f738d7d567f781cf1efeddb2caf04976aa

1,130

py

Python

release/stubs.min/System/Windows/Controls/__init___parts/StickyNoteType.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/System/Windows/Controls/__init___parts/StickyNoteType.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/System/Windows/Controls/__init___parts/StickyNoteType.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

class StickyNoteType(Enum, IComparable, IFormattable, IConvertible): """ Specifies whether a System.Windows.Controls.StickyNoteControl accepts text or ink. enum StickyNoteType,values: Ink (1),Text (0) """ def __eq__(self, *args): """ x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """ pass def __format__(self, *args): """ __format__(formattable: IFormattable,format: str) -> str """ pass def __ge__(self, *args): pass def __gt__(self, *args): pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __le__(self, *args): pass def __lt__(self, *args): pass def __ne__(self, *args): pass def __reduce_ex__(self, *args): pass def __str__(self, *args): pass Ink = None Text = None value__ = None

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1

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1

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1

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6255be46358ba39e017a422c842b6e7ff0c440de

30

py

Python

data/studio21_generated/introductory/4502/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4502/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4502/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def tribonacci(signature,n):

15

28

0.766667

4

30

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2

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null

0

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null

0

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4

62757283bc8c614d3a09527bbae2bd731be2c626

723

py

Python

laserchicken/tools/test_cli.py

eEcoLiDAR/eEcoLiDAR

f5c4e772e4893f7242ed0b10aa17ac7e693a55a0

[ "Apache-2.0" ]

20

2018-07-05T22:21:47.000Z

2022-03-01T00:24:36.000Z

laserchicken/tools/test_cli.py

ElsevierSoftwareX/SOFTX_2019_325

dcc8b5a9661664957fdfab4a5089cb5bfadc92ca

[ "Apache-2.0" ]

104

2017-09-07T08:06:49.000Z

2018-04-16T09:17:18.000Z

laserchicken/tools/test_cli.py

vishalbelsare/laserchicken

961d970e636e6eac3dfb969c36df9a5131ffd3d1

[ "Apache-2.0" ]

8

2020-02-13T08:55:36.000Z

2021-07-28T16:04:08.000Z

import pytest from click.testing import CliRunner from . import cli @pytest.fixture def runner(): return CliRunner() # def test_cli(runner): # result = runner.invoke(cli.main) # assert result.exit_code == 0 # assert not result.exception # assert result.output.strip() == 'Hello.' # # # def test_cli_with_option(runner): # result = runner.invoke(cli.main, ['--', './testdata/AHN2.las']) # assert not result.exception # assert result.exit_code == 0 # assert result.output.strip() == '' # # # def test_cli_with_arg(runner): # result = runner.invoke(cli.main, ['Chicken']) # assert result.exit_code == 0 # assert not result.exception # assert result.output.strip() == ''

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628937abe3030f2dbc1d069a50b73646b662e606

347

py

Python

001146StepikPyBegin/Stepik001146PyBeginch02p02st05TASK02_20200605.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginch02p02st05TASK02_20200605.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginch02p02st05TASK02_20200605.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

''' Stepik001146PyBeginch02p02st05TASK02_20200605.py В популярном сериале «Остаться в живых» использовалась последовательность чисел 4 8 15 16 23 42, которая принесла героям удачу и помогла сорвать джекпот в лотерее. Напишите программу, которая выводит данную последовательность чисел с одним пробелом между ними. ''' print(4, 8, 15, 16, 23, 42)

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6562f0479d4d15698ad6a1900981101b0e7c8b06

1,171

py

Python

python/156.py

kylekanos/project-euler-1

af7089356a4cea90f8ef331cfdc65e696def6140

[ "BSD-2-Clause-FreeBSD" ]

null

python/156.py

kylekanos/project-euler-1

af7089356a4cea90f8ef331cfdc65e696def6140

[ "BSD-2-Clause-FreeBSD" ]

null

python/156.py

kylekanos/project-euler-1

af7089356a4cea90f8ef331cfdc65e696def6140

[ "BSD-2-Clause-FreeBSD" ]

1

2019-09-17T00:55:58.000Z

#!/usr/bin/env python def verify(x,y): z=0 for i in xrange(1,x+1): j=i while j: z += ((j%10)==y) j //= 10 print z==x # derivation... # q(n) == 9*q(n-1) + p(n-1) # p(n) == 10^n + 9*q(n-1) + p(n-1) # q(n) == p(n) - 10^n # p(n) == 10^n + 9*q(n-1) + p(n-1) # == 10^n + 10*p(n-1) - 9*10^(n-1) # == 2*10^n + 100*p(n-1) - 2*9*10^(n-1) # . # . # . # == 10^n + n*(10^n - 9*10^(n-1)) # == 10^n + n*10^(n-1) ans = 0 def f(i, n, m, c, v, start): global ans if i<0: if n-1==m: ans += m return # TODO (smacke): verify these bounds if m-n > 10**(i+1): return if n-m > 10**(i+1)*c + 10**(i+1) + (i+1)*10**i: return # without this we will keep add the same value # more than once if not start: f(i-1, n, m, c, v, False) for j in xrange(1,10): n += 10**i m += c*10**i + i*10**(max(0,i-1)) if j-1==v: m += 10**i if j==v: f(i-1, n, m, c+1, v, False) else: f(i-1, n, m, c, v, False) for i in xrange(0, 20): # 1, 20 for j in xrange(1, 10): f(i,0,0,0,j, True) print ans

21.290909

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1.910931

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null

0

1

0

1

0

4

65a8aba119285057be8dda3f6b6ee53f66d2177a

183

py

Python

access enviroment variable.py

Max143/Python_programs

5084900844d7f6c39a255a6cfb8fa5120a189026

[ "MIT" ]

null

access enviroment variable.py

Max143/Python_programs

5084900844d7f6c39a255a6cfb8fa5120a189026

[ "MIT" ]

null

access enviroment variable.py

Max143/Python_programs

5084900844d7f6c39a255a6cfb8fa5120a189026

[ "MIT" ]

null

import os # Acces all environment variables print(os.environ) # Acess a particular enviroment variable print(os.environ['HOME']) print(os.enviorn['PATH'])

10.166667

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0.655738

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183

5.454545

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0

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183

17

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true

0

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null

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0

null

0

1

0

1

0

4

65bdab250ca2a5d866d95dbfec48859c9a497936

101

py

Python

peter_lists/origami/apps.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

null

peter_lists/origami/apps.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

8

2021-05-12T05:53:42.000Z

2022-03-31T04:08:18.000Z

peter_lists/origami/apps.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

null

from django.apps import AppConfig class OrigamiConfig(AppConfig): name = 'peter_lists.origami'

16.833333

33

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12

101

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0.916667

0

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20.2

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0

1

0

false

0

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0

1

0

null

0

1

0

1

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4

65bed6b27fb09278255417490b2ca29c1e72873b

374

py

Python

servers/models.py

GDGSNF/My-Business

792bb13a5b296260e5de7e03fba6445a13922851

[ "MIT" ]

21

2020-08-29T14:32:13.000Z

2021-08-28T21:40:32.000Z

servers/models.py

GDGSNF/My-Business

792bb13a5b296260e5de7e03fba6445a13922851

[ "MIT" ]

1

2020-10-11T21:56:15.000Z

servers/models.py

yezz123/My-Business

792bb13a5b296260e5de7e03fba6445a13922851

[ "MIT" ]

5

2021-09-11T23:31:10.000Z

2022-03-06T20:29:59.000Z

from django.db import models class Server(models.Model): uid = models.IntegerField(primary_key=True) root_password = models.CharField(max_length=32) services = models.TextField() created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def get_services(self): return self.services.splitlines()

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null

0

1

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1

0

4

65c6c5e7d1ee86911da6fc2e6c6162a7d2ca179c

278

py

Python

distutilazy/command/clean_pyc.py

farzadghanei/distutilazy

c3c7d062f7cb79abb7677cac57dd752127ff78e7

[ "MIT" ]

null

distutilazy/command/clean_pyc.py

farzadghanei/distutilazy

c3c7d062f7cb79abb7677cac57dd752127ff78e7

[ "MIT" ]

2

2016-06-16T14:12:48.000Z

2018-07-22T12:44:21.000Z

distutilazy/command/clean_pyc.py

farzadghanei/distutilazy

c3c7d062f7cb79abb7677cac57dd752127ff78e7

[ "MIT" ]

null

""" distutilazy.command.clean_pyc ----------------------------- Command to clean compiled python files :license: MIT. For more details see LICENSE file or https://opensource.org/licenses/MIT """ import distutilazy.clean class clean_pyc(distutilazy.clean.CleanPyc): pass

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null

0

null

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1

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4

028de7810051300b12a8d3cf9568e241166f39be

117

py

Python

run.py

inplat/aioapp-project-template

d555935c53f6544b79d0516e3f9f8c263f0f93fd

[ "MIT" ]

null

run.py

inplat/aioapp-project-template

d555935c53f6544b79d0516e3f9f8c263f0f93fd

[ "MIT" ]

286

2018-05-30T11:35:01.000Z

2022-03-27T23:37:24.000Z

run.py

inplat/aioapp-project-template

d555935c53f6544b79d0516e3f9f8c263f0f93fd

[ "MIT" ]

null

#!/usr/bin/env python3.6 import sys from myaioapp.cli import main if __name__ == "__main__": sys.exit(main())

13

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0

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null

0

1

0

1

0

4

02955fb691547a72f855e1e10906265675e4a882

346

py

Python

account/tasks.py

bear-in-white-house/elephant

a30ecacb6ed3bba397e06a89e1cd28377d5f54f0

[ "Apache-2.0" ]

null

account/tasks.py

bear-in-white-house/elephant

a30ecacb6ed3bba397e06a89e1cd28377d5f54f0

[ "Apache-2.0" ]

null

account/tasks.py

bear-in-white-house/elephant

a30ecacb6ed3bba397e06a89e1cd28377d5f54f0

[ "Apache-2.0" ]

null

from django.utils.module_loading import import_string from elephant.celery import app from elephant.settings import MSG_PROVIDER obj = import_string(MSG_PROVIDER)() @app.task(bind=True, name='send_mag', queue='others') def send_msg(self, phone): obj.send_msg(phone) def verify_msg_code(code, phone): return obj.verify(code, phone)

20.352941

53

0.768786

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346

4.830189

0.528302

0.09375

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0.124277

346

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0

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0

null

0

null

0

1

0

1

0

4

02dbe346992d6cc18c932829496e6fc7d46ce333

9,874

py

Python

api/market/models.py

bhaski-1234/innovaccer

4d389fd78417eeefa2f43de852bb614a3ff86182

[ "Unlicense" ]

null

api/market/models.py

bhaski-1234/innovaccer

4d389fd78417eeefa2f43de852bb614a3ff86182

[ "Unlicense" ]

null

api/market/models.py

bhaski-1234/innovaccer

4d389fd78417eeefa2f43de852bb614a3ff86182

[ "Unlicense" ]

null

from market import db,login_manager from flask_login import UserMixin @login_manager.user_loader def load_user(user_id): return Patients.query.get(int(user_id)) class Patients(db.Model, UserMixin): __tablename__ = 'patients' id = db.Column(db.Integer(), primary_key=True) fullname = db.Column(db.String(length=30), nullable=False, unique=True) email_address = db.Column(db.String(length=50), nullable=False, unique=True) password_hash = db.Column(db.String(length=600), nullable=False) uniq_id = db.Column(db.String(length=30), nullable=False, unique=True) # age = db.Column(db.Integer(), nullable=False, default=0) # Gender = db.Column(db.String(length=6), nullable=False, unique=True) @property def password(self): return self.password @password.setter def password(self, plain_text_password): self.password_hash = plain_text_password def check_password_correction(self, attempted_password): return (self.password_hash, attempted_password) class Doctor(db.Model, UserMixin): __tablename__ = 'admin' id = db.Column(db.Integer(), primary_key=True) fullname = db.Column(db.String(length=30), nullable=False, unique=True) email_address = db.Column(db.String(length=50), nullable=False, unique=True) password_hash = db.Column(db.String(length=60), nullable=False) # class Item(db.Model): # id = db.Column(db.Integer(), primary_key=True) # name = db.Column(db.String(length=30), nullable=False, unique=True) # price = db.Column(db.Integer(), nullable=False) # barcode = db.Column(db.String(length=12), nullable=False, unique=True) # description = db.Column(db.String(length=1024), nullable=False, unique=True) # owner= db.Column(db.Integer(),db.ForeignKey('users.id')) # def __repr__(self): # return f'Item {self.name}' # def buy(self, user): # self.owner = user.id # user.budget += self.price # db.session.commit() # def sell(self, user): # self.owner = None # user.budget -= self.price # db.session.commit() class medSummary(db.Model): __tablename__ = 'medSummary' #id for the entry id=db.Column(db.Integer(),primary_key=True) #id for the prescription. Can be used to list all meds prescribed in one session to a patient. prescriptionID=db.Column(db.String(), nullable=False) #userID, used to identify patient. userID=db.Column(db.String(), nullable=False) #docID, used to identify doctor. docID=db.Column(db.String(), nullable=False) #OrderID is to identify the batch of order. OrderID=db.Column(db.String(), nullable=False) medItem=db.Column(db.String(), nullable=False) medName=db.Column(db.String(), nullable=True) medForm=db.Column(db.String(), nullable=False) medCategory=db.Column(db.String(), nullable=False) medStrengthNumerator=db.Column(db.Integer(), nullable=False) medStrengthNumeratorUnit=db.Column(db.String(length=2), nullable=False) medStrengthDenominator=db.Column(db.Float(), nullable=False) medStrengthDenominatorUnit=db.Column(db.String(length=2), nullable=False) medUnitofPres=db.Column(db.String(), nullable=False) medConcentration=db.Column(db.String(), nullable=False) medManufacturer=db.Column(db.String(), nullable=False) medBatchId=db.Column(db.String(), nullable=False) medExpiry=db.Column(db.DateTime(), nullable=False) medAmount=db.Column(db.Float(), nullable=False) medAmountUnit=db.Column(db.String(length=2), nullable=False) medAlternateAmount=db.Column(db.Float(), nullable=True) medAlternateAmountUnit=db.Column(db.String(length=2), nullable=True) medRole=db.Column(db.String(), nullable=False) medDescription=db.Column(db.String(), nullable=False) medDoseAmount=db.Column(db.Float(), nullable=False) medDoseAmountLower=db.Column(db.Float(), nullable=True) medDoseAmountUpper=db.Column(db.Float(), nullable=True) medDoseUnit=db.Column(db.String(length=2), nullable=True) medDoseFormula=db.Column(db.String(), nullable=False) medDoseDescription=db.Column(db.String(), nullable=False) medFrequency=db.Column(db.Float(), nullable=False) medFrequencyUnit=db.Column(db.String(), nullable=False) medFrequencyLower=db.Column(db.Float(), nullable=True) medFrequencyUnitLower=db.Column(db.String(), nullable=True) medFrequencyUpper=db.Column(db.Float(), nullable=True) medFrequencyUnitUpper=db.Column(db.String(), nullable=True) medFrequencyInterval=db.Column(db.DateTime(), nullable=False) medDailyTime=db.Column(db.Time(), nullable=False) medDailyimeLower=db.Column(db.Time(), nullable=True) medDailyTimeUpper=db.Column(db.Time(), nullable=True) medDailyTimeDescription=db.Column(db.String(), nullable=False) medEventName=db.Column(db.String(), nullable=True) medEventOffset=db.Column(db.String(), nullable=True) medOn=db.Column(db.String(), nullable=True) medOff=db.Column(db.String(), nullable=True) medRepetitions=db.Column(db.Integer(), nullable=True) medAdminRoute=db.Column(db.String(), nullable=True) medTimeRepInterval= db.Column(db.String(), nullable=True) medNonDailyFrequency=db.Column(db.Integer(), nullable=True) medNonDailyUnit=db.Column(db.String(), nullable=True) medNonDailyLowerFrequency=db.Column(db.Integer(), nullable=True) medNonDailyLowerUnit=db.Column(db.String(), nullable=True) medNonDailyUpperFrequency=db.Column(db.Integer(), nullable=True) medNonDailyUpperUnit=db.Column(db.String(), nullable=True) # medNonDailyDate=db.column(db.DateTime(), nullable=True) # medNonDailyDoW=db.column(db.String(length=9), nullable=True) # medNonDailyDoM=db.column(db.Integer(), nullable=True) # medNonDailyDoMLower=db.column(db.Integer(), nullable=True) # medNonDailyDoMUpper=db.column(db.Integer(), nullable=True) # medNonDailyTimingDescription=db.column(db.String(), nullable=True) # medNonDailyEventName=db.column(db.String(), nullable=True) # medNonDailyTimeOffset=db.column(db.DateTime(), nullable=True) # medNonDailyOn=db.column(db.Date(), nullable=True) # medNonDailyOff=db.column(db.Date(), nullable=True) # medNonDailyRepetitions=db.column(db.Integer(), nullable=True) # # Moving to exclusions from Summary # globalExclusion=db.Column(db.String(),nullable=True) # absenceStatement=db.Column(db.String(), nullable=True) # protocolUpdated=db.Column(db.String(), nullable=True) class Prescription(db.Model): __tablename__='prescriptions' prescriptionID=db.Column(db.String(), nullable=False, primary_key=True) medItem=db.Column(db.String()) prepSubstanceName=db.Column(db.String()) prepForm=db.Column(db.String()) prepStrength=db.Column(db.Float()) prepStrengthUnit=db.Column(db.String()) diluentAmount=db.Column(db.Float()) diluentUnit=db.Column(db.String()) ingredientSubstanceName=db.Column(db.String()) ingredientForm=db.Column(db.String()) ingredientCategory=db.Column(db.String()) ingredientStrength=db.Column(db.Float()) ingredientStrengthUnit=db.Column(db.String()) ingredientDescription=db.Column(db.String()) ingredientAmount=db.Column(db.Float()) ingredientAmountUnit=db.Column(db.String()) ingredientRole=db.Column(db.String()) medDescription=db.Column(db.String()) medRoute=db.Column(db.String()) medDosageInstructions=db.Column(db.String()) doseAmount=db.Column(db.Float()) doseAmountLower=db.Column(db.Float()) doseAmountUpper=db.Column(db.Float()) doseUnit=db.Column(db.String()) doseTimingFreq=db.Column(db.Float()) doseTimingFreqUnit=db.Column(db.String()) doseTimingFreqLower=db.Column(db.Float()) doseTimingFreqLowerUnit=db.Column(db.String()) doseTimingFreqUpper=db.Column(db.Float()) doseTimingFreqUpperUnit=db.Column(db.String()) doseTimingInterval=db.Column(db.String()) doseSpecificTime=db.Column(db.Time()) doseNamedTimeEvent=db.Column(db.String()) doseExactTimingCritical=db.Column(db.Boolean()) doseAsCritical=db.Column(db.Boolean()) doseAsRequiredCriterion=db.Column(db.String()) infusionAdminRateQ=db.Column(db.Float()) infusionAdminRateUnit=db.Column(db.String()) infusionAdminRateT=db.Column(db.String()) doseAdminDuration=db.Column(db.String()) doseDirectionDuration1=db.Column(db.String()) doseDirectionDuration2=db.Column(db.String()) directionRepetitionInterval=db.Column(db.String()) directionSpecificDate=db.Column(db.Date()) directionSpecificTime=db.Column(db.Time()) directionSpecificDoW=db.Column(db.Integer()) directionSpecificDoM=db.Column(db.Integer()) directionEventName=db.Column(db.String()) directionEventStartInterval=db.Column(db.String()) safetyMaxAmount=db.Column(db.Float()) safetyMaxAmountUnit=db.Column(db.String()) safetyAllowedPeriod=db.Column(db.String()) overrideReason=db.Column(db.String()) orderAdditionalInstructions=db.Column(db.String()) orderReason=db.Column(db.String()) courseStatus=db.Column(db.String()) courseDiscontinuedDate=db.Column(db.Date()) courseDiscontinuedTime=db.Column(db.Time()) courseWrittenDate=db.Column(db.Date()) courseWrittenTime=db.Column(db.Time()) authNumberofRepeatsAllowed=db.Column(db.Integer()) authValidityPeriodDate=db.Column(db.Date()) authValidityPeriodTime=db.Column(db.Time()) dispenseInstruction=db.Column(db.String()) dispenseAmountDescription=db.Column(db.String()) dispenseAmount=db.Column(db.Float()) dispenseAmountUnits=db.Column(db.String()) dispenseDurationofSupply=db.Column(db.String()) orderComment=db.Column(db.String()) orderID=db.Column(db.String(), unique=True) db.create_all() db.session.commit()

46.356808

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9,874

5.942308

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0.218095

0.211622

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0.098494

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9,874

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0.057692

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null

0

1

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null

0

1

0

1

0

4

02f9bba97cd795693a5725fff5a4a353ddd92dec

2,191

py

Python

py3canvas/tests/quizzes.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/quizzes.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/quizzes.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

"""Quizzes API Tests for Version 1.0. This is a testing template for the generated QuizzesAPI Class. """ import unittest import requests import secrets from py3canvas.apis.quizzes import QuizzesAPI from py3canvas.apis.quizzes import Quiz from py3canvas.apis.quizzes import Quizpermissions class TestQuizzesAPI(unittest.TestCase): """Tests for the QuizzesAPI.""" def setUp(self): self.client = QuizzesAPI(secrets.instance_address, secrets.access_token) def test_list_quizzes_in_course(self): """Integration test for the QuizzesAPI.list_quizzes_in_course method.""" course_id = None # Change me!! r = self.client.list_quizzes_in_course(course_id, search_term=None) def test_get_single_quiz(self): """Integration test for the QuizzesAPI.get_single_quiz method.""" course_id = None # Change me!! id = None # Change me!! r = self.client.get_single_quiz(course_id, id) def test_create_quiz(self): """Integration test for the QuizzesAPI.create_quiz method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass def test_edit_quiz(self): """Integration test for the QuizzesAPI.edit_quiz method.""" # This method utilises the PUT request method and will make changes to the Canvas instance. This needs consideration. pass def test_delete_quiz(self): """Integration test for the QuizzesAPI.delete_quiz method.""" course_id = None # Change me!! id = None # Change me!! r = self.client.delete_quiz(course_id, id) def test_reorder_quiz_items(self): """Integration test for the QuizzesAPI.reorder_quiz_items method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass def test_validate_quiz_access_code(self): """Integration test for the QuizzesAPI.validate_quiz_access_code method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass

37.775862

126

0.709722

292

2,191

5.160959

0.239726

0.035833

0.084937

0.10219

0.658925

0.599204

0.470471

0.350365

0

0.002909

0.215427

2,191

57

127

38.438596

0.873764

0.492013

0

0.321429

1

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1

0.285714

false

0.142857

0.214286

0

0.535714

0

null

0

1

0

null

0

1

0

1

0

1

0

4

02ff2ae7b3e5f96cf815a6751b0688fdda2a323a

652

py

Python

controller/scheduler/faulty.py

public/deis

546d2bb117ba817ea533a595cbffea3de355f366

[ "Apache-2.0" ]

1

2015-11-08T11:16:46.000Z

controller/scheduler/faulty.py

thomasdavis/deis

02120302926fb3fa18f7275859d6a252c63f4a60

[ "Apache-2.0" ]

null

controller/scheduler/faulty.py

thomasdavis/deis

02120302926fb3fa18f7275859d6a252c63f4a60

[ "Apache-2.0" ]

1

2019-12-16T18:56:52.000Z

class FaultyClient(object): """A faulty scheduler that will always fail""" def __init__(self, cluster_name, hosts, auth, domain, options): pass def setUp(self): pass def tearDown(self): pass def create(self, name, image, command='', template=None, port=5000): raise Exception() def start(self, name): raise Exception() def stop(self, name): raise Exception() def destroy(self, name): raise Exception() def run(self, name, image, command): raise Exception() def attach(self, name): raise Exception() SchedulerClient = FaultyClient

20.375

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0.122449

0.216837

0.22449

0.191327

0

0.008547

0.282209

652

31

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0.82906

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0.45

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false

0.15

0

0.5

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null

0

1

0

null

0

1

0

1

0

4

f302b96c50a7af4e9262226de746d4c7b4b38bdc

103

py

Python

django/common/scripts/utils/select_max.py

arkhn/fhir-river

a12179c34fad131d16dedc20c61297ed83d805e6

[ "Apache-2.0" ]

42

2020-03-25T16:47:30.000Z

2022-01-31T21:26:38.000Z

django/common/scripts/utils/select_max.py

arkhn/fhir-river

a12179c34fad131d16dedc20c61297ed83d805e6

[ "Apache-2.0" ]

367

2020-04-08T12:46:34.000Z

2022-02-16T01:15:32.000Z

django/common/scripts/utils/select_max.py

arkhn/fhir-river

a12179c34fad131d16dedc20c61297ed83d805e6

[ "Apache-2.0" ]

3

2020-05-14T08:24:46.000Z

2021-08-04T05:00:16.000Z

def select_max(*args): """Merging script which selects the maximal element""" return max(args)

25.75

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0.184466

103

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1

0

null

0

1

0

null

0

1

0

4

b87d4ccb828839d12932646b279f314627fb8b63

21,683

py

Python

mesh_models.py

lightningbird/Taichi_Ray_Tracing_Exercises

66fd19dc200cd68727a343679184a0c5e153881e

[ "MIT" ]

2

2022-01-17T08:27:24.000Z

2022-01-21T00:16:33.000Z

mesh_models.py

lightningbird/Taichi_Ray_Tracing_Exercises

66fd19dc200cd68727a343679184a0c5e153881e

[ "MIT" ]

null

mesh_models.py

lightningbird/Taichi_Ray_Tracing_Exercises

66fd19dc200cd68727a343679184a0c5e153881e

[ "MIT" ]

null

import taichi as ti PI = 3.14159265 Inf = 10e8 Epsilon = 1e-5 @ti.data_oriented class Torus: def __init__(self, center, inside_point, up_normal, inside_radius, nU, nV, material, color, write_to_obj_file=False, obj_filename=''): # up_normal is the normal of the plane passing through the center of torus # splitting its interface into concentric circles # inside_point is one point that is on central line inside the torus body self.center = center self.inside_point = inside_point self.up_normal = up_normal self.outside_R = (inside_point - center).norm() self.inside_r = inside_radius self.material = material self.color = color self.nU = nU self.nV = nV self.write_to_obj_file = write_to_obj_file self.obj_filename = obj_filename self.num_polygons = self.nU * self.nV self.vertex1 = ti.Vector.field(3, dtype = ti.f32) self.vertex2 = ti.Vector.field(3, dtype = ti.f32) self.vertex3 = ti.Vector.field(3, dtype = ti.f32) self.vertex4 = ti.Vector.field(3, dtype = ti.f32) self.normal = ti.Vector.field(3, dtype = ti.f32) self.polygons_node = ti.root.dense(ti.ij, (self.nU, self.nV)) self.polygons_node.place(self.vertex1, self.vertex2, self.vertex3, self.vertex4, self.normal) self.x_axis = (self.inside_point - self.center).normalized() self.y_axis = self.up_normal.normalized() self.z_axis = self.x_axis.cross(self.y_axis) self.make_surface_mesh() if self.write_to_obj_file == True: self.write_mesh_to_file() self.aabb_faces = [] # xmin, xmax, ymin, ymax, zmin, zmax self.aabb_boundingbox() def aabb_boundingbox(self): # build axis align bounding box in general case vts = [] radius = self.outside_R + self.inside_r upper_c = self.center + self.inside_r * self.y_axis lower_c = self.center - self.inside_r * self.y_axis offset1 = -radius * self.x_axis - radius * self.z_axis offset2 = -radius * self.x_axis + radius * self.z_axis offset3 = radius * self.x_axis + radius * self.z_axis offset4 = radius * self.x_axis - radius * self.z_axis vts = [upper_c+offset1, upper_c+offset2, upper_c+offset3, upper_c+offset4, lower_c+offset1, lower_c+offset2, lower_c+offset3, lower_c+offset4] for i in range(3): min_val, max_val = vts[0][i], vts[0][i] for j in range(8): if vts[j][i] < min_val: min_val = vts[j][i] if vts[j][i] > max_val: max_val = vts[j][i] self.aabb_faces.append(min_val) self.aabb_faces.append(max_val) def make_surface_mesh(self): for i in range(self.nU): for j in range(self.nV): theta = i * 2*PI/self.nU theta2 = theta + 2*PI/self.nU phi = j * 2*PI/self.nV phi2 = phi + 2*PI/self.nV xx_axis = ti.cos(theta)*self.x_axis + ti.sin(theta)*self.z_axis xx_axis2 = ti.cos(theta2)*self.x_axis + ti.sin(theta2)*self.z_axis oc = self.center + self.outside_R * xx_axis oc2 = self.center + self.outside_R * xx_axis2 pt1 = oc + self.inside_r * (ti.cos(phi)*xx_axis + ti.sin(phi)*self.y_axis) # i, j pt2 = oc + self.inside_r * (ti.cos(phi2)*xx_axis + ti.sin(phi2)*self.y_axis) # i, j+1 pt3 = oc2 + self.inside_r * (ti.cos(phi2)*xx_axis2 + ti.sin(phi2)*self.y_axis) # i+1, j+1 pt4 = oc2 + self.inside_r * (ti.cos(phi)*xx_axis2 + ti.sin(phi)*self.y_axis) # i+1, j self.vertex1[i, j] = pt1 self.vertex2[i, j] = pt2 self.vertex3[i, j] = pt3 self.vertex4[i, j] = pt4 self.normal[i, j] = (pt2 - pt1).cross(pt3 - pt2).normalized() def write_mesh_to_file(self): # vertex index starts from 1 with open(self.obj_filename, 'w') as f: f.write('# torus \n') f.write('# number of vertices is ' + str(self.num_polygons) + '\n') f.write('# number of faces is ' + str(self.num_polygons) + '\n') for i in range(self.nU): for j in range(self.nV): pt1 = self.vertex1[i, j] f.write('v ' + str(pt1[0]) + ' ' + str(pt1[1]) + ' ' + str(pt1[2]) + '\n') for i in range(self.nU): for j in range(self.nV): i2, j2 = i+1, j+1 if i2==self.nU: i2 = 0 if j2==self.nV: j2 = 0 id1 = i*self.nV + j + 1 id2 = i*self.nV + j2 + 1 id3 = i2*self.nV + j2 + 1 id4 = i2*self.nV + j + 1 f.write('f ' + str(id1) + ' ' + str(id2) + ' ' + str(id3) + ' ' + str(id4) + '\n' ) @ti.func def inside_check(self, i, j, point): v1 = self.vertex1[i, j] - point v2 = self.vertex2[i, j] - point v3 = self.vertex3[i, j] - point v4 = self.vertex4[i, j] - point n1 = v1.cross(v2) n2 = v2.cross(v3) n3 = v3.cross(v4) n4 = v4.cross(v1) isInside = False if n1.dot(n2) > 0 and n1.dot(n3) > 0 and n1.dot(n4)>0: isInside = True return isInside @ti.func def hit_quad(self, i, j, ray, tmin=0.001, tmax=10e8): d = ray.direction o = ray.origin n = self.normal[i, j] p = self.vertex1[i, j] is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = -n front_face = False if ti.abs(d.dot(n)) > 0: root = n.dot(p - o) / d.dot(n) if root >= tmin and root <= tmax: hit_point = ray.at(root) if self.inside_check(i, j, hit_point): is_hit = True if d.dot(n) < 0: front_face = True hit_point_normal = n return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color @ti.func def hit(self, ray, tmin=0.001, tmax=10e8): is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = ti.Vector([0.0, 0.0, 0.0]) front_face = False closest_t = tmax # intersect with aabb first dir = ray.direction origin = ray.origin insect_with_box = False box_tmin = tmin box_tmax = tmax for i in ti.static(range(3)): if dir[i] > Epsilon or dir[i] < -Epsilon: t0 = (self.aabb_faces[2*i] - origin[i]) / dir[i] t1 = (self.aabb_faces[2*i+1] - origin[i]) / dir[i] if t0>t1: t0, t1 = t1, t0 if t0 > box_tmin: box_tmin = t0 if t1 < box_tmax: box_tmax = t1 if box_tmin < box_tmax and box_tmax>tmin and box_tmin < closest_t: insect_with_box = True if insect_with_box == True: # iterate over polygon faces for i in range(self.nU): for j in range(self.nV): is_hit_tmp, root_tmp, hit_point_tmp, hit_point_normal_tmp, front_face_tmp, material_tmp, color_tmp = self.hit_quad(i, j, ray, tmin, closest_t) if is_hit_tmp: closest_t = root_tmp is_hit = is_hit_tmp hit_point = hit_point_tmp hit_point_normal = hit_point_normal_tmp front_face = front_face_tmp return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color @ti.data_oriented class Quad_Mesh: def __init__(self, obj_filename, material, color, center=ti.Vector([0.0, 0.0, 0.0]), scale=1.0, tx=0.0, ty=0.0, tz=0.0): self.obj_filename = obj_filename self.material = material self.color = color self.center = center self.scale = scale self.tx = tx self.ty = ty self.tz = tz self.max_num_polygons= 4000 self.num_polygons = 0 self.vertex1 = ti.Vector.field(3, dtype = ti.f32) self.vertex2 = ti.Vector.field(3, dtype = ti.f32) self.vertex3 = ti.Vector.field(3, dtype = ti.f32) self.vertex4 = ti.Vector.field(3, dtype = ti.f32) self.normal = ti.Vector.field(3, dtype = ti.f32) self.polygons_node = ti.root.dense(ti.i, self.max_num_polygons) self.polygons_node.place(self.vertex1, self.vertex2, self.vertex3, self.vertex4, self.normal) self.aabb_faces = ti.Vector.field(6, dtype=ti.f32, shape=()) # xmin, xmax, ymin, ymax, zmin, zmax self.read_obj_file() @ti.pyfunc def vertex_update_aabb(self, v, xmin, xmax, ymin, ymax, zmin, zmax): if v[0] < xmin: xmin = v[0] if v[0] > xmax: xmax = v[0] if v[1] < ymin: ymin = v[1] if v[1] > ymax: ymax = v[1] if v[2] < zmin: zmin = v[2] if v[2] > zmax: zmax = v[2] return xmin, xmax, ymin, ymax, zmin, zmax def read_obj_file(self): # vertex id in obj file starts from 1 with open(self.obj_filename, 'r') as f: lines = f.readlines() vts = [] num_faces = 0 xmin, xmax, ymin, ymax, zmin, zmax = Inf, -Inf, Inf, -Inf, Inf, -Inf for i in range(len(lines)): line = lines[i] x = line.split(' ') if x[0] == 'v': vx = float(x[1]) vy = float(x[2]) vz = float(x[3]) vnew = ti.Vector([vx, vy, vz]) - self.center vnew = self.scale * vnew vnew = vnew + self.center + ti.Vector([self.tx, self.ty, self.tz]) vts.append(vnew) xmin, xmax, ymin, ymax, zmin, zmax = self.vertex_update_aabb(vnew, xmin, xmax, ymin, ymax, zmin, zmax) if x[0] == 'f': num_faces +=1 self.aabb_faces[None] = ti.Vector([xmin, xmax, ymin, ymax, zmin, zmax]) assert num_faces <= self.max_num_polygons fid = 0 for i in range(len(lines)): line = lines[i] y = line.split(' ') if y[0] == 'f': vid1 = int(y[1]) vid2 = int(y[2]) vid3 = int(y[3]) vid4 = int(y[4]) self.vertex1[fid] = vts[vid1 - 1] self.vertex2[fid] = vts[vid2 - 1] self.vertex3[fid] = vts[vid3 - 1] self.vertex4[fid] = vts[vid4 - 1] self.normal[fid] = (vts[vid2-1] - vts[vid1-1]).cross(vts[vid3-1] - vts[vid2-1]).normalized() fid += 1 self.num_polygons = fid @ti.func def inside_check(self, i, point): v1 = self.vertex1[i] - point v2 = self.vertex2[i] - point v3 = self.vertex3[i] - point v4 = self.vertex4[i] - point n1 = v1.cross(v2) n2 = v2.cross(v3) n3 = v3.cross(v4) n4 = v4.cross(v1) isInside = False if n1.dot(n2) > 0 and n1.dot(n3) > 0 and n1.dot(n4)>0: isInside = True return isInside @ti.func def hit_quad(self, i, ray, tmin=0.001, tmax=10e8): d = ray.direction o = ray.origin n = self.normal[i] p = self.vertex1[i] is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = -n front_face = False if ti.abs(d.dot(n)) > 0: root = n.dot(p - o) / d.dot(n) if root >= tmin and root <= tmax: hit_point = ray.at(root) if self.inside_check(i, hit_point): is_hit = True if d.dot(n) < 0: front_face = True hit_point_normal = n return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color @ti.func def hit(self, ray, tmin=0.001, tmax=10e8): is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = ti.Vector([0.0, 0.0, 0.0]) front_face = False closest_t = tmax # intersect with aabb first dir = ray.direction origin = ray.origin insect_with_box = False box_tmin = tmin box_tmax = tmax for i in ti.static(range(3)): if dir[i] > Epsilon or dir[i] < -Epsilon: t0 = (self.aabb_faces[None][2*i] - origin[i]) / dir[i] t1 = (self.aabb_faces[None][2*i+1] - origin[i]) / dir[i] if t0>t1: t0, t1 = t1, t0 if t0 > box_tmin: box_tmin = t0 if t1 < box_tmax: box_tmax = t1 if box_tmin < box_tmax and box_tmax>tmin and box_tmin < closest_t: insect_with_box = True # iterate over polygon faces if insect_with_box == True: for i in range(self.num_polygons): is_hit_tmp, root_tmp, hit_point_tmp, hit_point_normal_tmp, front_face_tmp, material_tmp, color_tmp = self.hit_quad(i, ray, tmin, closest_t) if is_hit_tmp: closest_t = root_tmp is_hit = is_hit_tmp hit_point = hit_point_tmp hit_point_normal = hit_point_normal_tmp front_face = front_face_tmp return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color @ti.data_oriented class Triangle_Mesh: def __init__(self, obj_filename, material, color, center=ti.Vector([0.0, 0.0, 0.0]), scale=1.0, tx=0.0, ty=0.0, tz=0.0): self.obj_filename = obj_filename self.material = material self.color = color self.max_num_polygons= 10000 self.num_polygons = 0 self.center = center self.scale = scale self.tx = tx self.ty = ty self.tz = tz self.vertex1 = ti.Vector.field(3, dtype = ti.f32) self.vertex2 = ti.Vector.field(3, dtype = ti.f32) self.vertex3 = ti.Vector.field(3, dtype = ti.f32) self.normal = ti.Vector.field(3, dtype = ti.f32) self.polygons_node = ti.root.dense(ti.i, self.max_num_polygons) self.polygons_node.place(self.vertex1, self.vertex2, self.vertex3, self.normal) self.large_aabb_faces = ti.Vector.field(6, dtype = ti.f32, shape=()) # xmin, xmax, ymin, ymax, zmin, zmax self.num_small_aabb = 50 self.small_aabb_faces = ti.Vector.field(6, dtype = ti.f32, shape=self.num_small_aabb) self.num_polygons_per_box = 1 self.read_obj_file() self.num_polygons_per_box = self.num_polygons // self.num_small_aabb + 1 self.build_small_aabb() @ti.pyfunc def vertex_update_aabb(self, v, xmin, xmax, ymin, ymax, zmin, zmax): if v[0] < xmin: xmin = v[0] if v[0] > xmax: xmax = v[0] if v[1] < ymin: ymin = v[1] if v[1] > ymax: ymax = v[1] if v[2] < zmin: zmin = v[2] if v[2] > zmax: zmax = v[2] return xmin, xmax, ymin, ymax, zmin, zmax def read_obj_file(self): # vertex id in obj file starts from 1 with open(self.obj_filename, 'r') as f: lines = f.readlines() xmin, xmax, ymin, ymax, zmin, zmax = Inf, -Inf, Inf, -Inf, Inf, -Inf vts = [] num_faces = 0 for i in range(len(lines)): line = lines[i] x = line.split(' ') if x[0] == 'v': vx = float(x[1]) vy = float(x[2]) vz = float(x[3]) vnew = ti.Vector([vx, vy, vz]) - self.center vnew = self.scale * vnew vnew = vnew + self.center + ti.Vector([self.tx, self.ty, self.tz]) vts.append(vnew) xmin, xmax, ymin, ymax, zmin, zmax = self.vertex_update_aabb(vnew, xmin, xmax, ymin, ymax, zmin, zmax) if x[0] == 'f': num_faces += 1 self.large_aabb_faces[None] = ti.Vector([xmin, xmax, ymin, ymax, zmin, zmax]) assert num_faces <= self.max_num_polygons fid = 0 for i in range(len(lines)): line = lines[i] y = line.split(' ') if y[0] == 'f': vid1 = int(y[1]) vid2 = int(y[2]) vid3 = int(y[3]) self.vertex1[fid] = vts[vid1 - 1] self.vertex2[fid] = vts[vid2 - 1] self.vertex3[fid] = vts[vid3 - 1] self.normal[fid] = (vts[vid2-1] - vts[vid1-1]).cross(vts[vid3-1] - vts[vid2-1]).normalized() fid += 1 self.num_polygons = fid @ti.kernel def build_small_aabb(self): for bi in range(self.num_small_aabb): bxmin, bymin, bzmin = Inf, Inf, Inf bxmax, bymax, bzmax = -Inf, -Inf, -Inf fi_start = bi * self.num_polygons_per_box fi_end = min(fi_start + self.num_polygons_per_box, self.num_polygons) for fi in range(fi_start, fi_end): bxmin, bxmax, bymin, bymax, bzmin, bzmax = self.vertex_update_aabb(self.vertex1[fi], bxmin, bxmax, bymin, bymax, bzmin, bzmax) bxmin, bxmax, bymin, bymax, bzmin, bzmax = self.vertex_update_aabb(self.vertex2[fi], bxmin, bxmax, bymin, bymax, bzmin, bzmax) bxmin, bxmax, bymin, bymax, bzmin, bzmax = self.vertex_update_aabb(self.vertex3[fi], bxmin, bxmax, bymin, bymax, bzmin, bzmax) self.small_aabb_faces[bi] = ti.Vector([bxmin, bxmax, bymin, bymax, bzmin, bzmax]) @ti.func def inside_check(self, i, point): v1 = self.vertex1[i] - point v2 = self.vertex2[i] - point v3 = self.vertex3[i] - point n1 = v1.cross(v2) n2 = v2.cross(v3) n3 = v3.cross(v1) isInside = False if n1.dot(n2) > 0 and n1.dot(n3) > 0: isInside = True return isInside @ti.func def hit_triangle(self, i, ray, tmin=0.001, tmax=10e8): d = ray.direction o = ray.origin n = self.normal[i] p = self.vertex1[i] is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = -n front_face = False if ti.abs(d.dot(n)) > 0: root = n.dot(p - o) / d.dot(n) if root >= tmin and root <= tmax: hit_point = ray.at(root) if self.inside_check(i, hit_point): is_hit = True if d.dot(n) < 0: front_face = True hit_point_normal = n return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color @ti.func def aabb_intersect(self, ray, aabb_face, tmin=0.001, tmax=10e8): intersect_with_box = False dir = ray.direction origin = ray.origin box_tmin = tmin box_tmax = tmax for i in ti.static(range(3)): if dir[i] > Epsilon or dir[i] < -Epsilon: t0 = (aabb_face[2*i] - origin[i]) / dir[i] t1 = (aabb_face[2*i+1] - origin[i]) / dir[i] if t0>t1: t0, t1 = t1, t0 if t0 > box_tmin: box_tmin = t0 if t1 < box_tmax: box_tmax = t1 if box_tmin < box_tmax and box_tmax>tmin and box_tmin < tmax: intersect_with_box = True return intersect_with_box @ti.func def hit(self, ray, tmin=0.001, tmax=10e8): is_hit = False root = 0.0 hit_point = ti.Vector([0.0, 0.0, 0.0]) hit_point_normal = ti.Vector([0.0, 0.0, 0.0]) front_face = False closest_t = tmax # check if intersect with large aabb intersect_with_large_box = self.aabb_intersect(ray, self.large_aabb_faces[None], tmin, closest_t) if intersect_with_large_box == True: # check if intersect with smaller aabb for i_box in range(self.num_small_aabb): intersect_with_small_box = self.aabb_intersect(ray, self.small_aabb_faces[i_box], tmin, closest_t) if intersect_with_small_box == True: # check if intersect with triangles inside this small aabb # iterate over triangles i_start = i_box * self.num_polygons_per_box i_end = ti.min(i_start+ self.num_polygons_per_box, self.num_polygons) for i in range(i_start, i_end): is_hit_tmp, root_tmp, hit_point_tmp, hit_point_normal_tmp, front_face_tmp, material_tmp, color_tmp = self.hit_triangle(i, ray, tmin, closest_t) if is_hit_tmp: closest_t = root_tmp is_hit = is_hit_tmp hit_point = hit_point_tmp hit_point_normal = hit_point_normal_tmp front_face = front_face_tmp return is_hit, root, hit_point, hit_point_normal, front_face, self.material, self.color

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0.526126

3,101

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3.51564

0.078362

0.012291

0.012108

0.793157

0.754999

0.717483

0.689782

0.666575

0.657402

0

0.040979

0.357377

21,683

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168

41.698077

0.741424

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0.702306

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false

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0.077568

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null

0

1

0

1

0

1

0

null

0

4

b893285a765d5a3505a8088a2f30fa812af453ff

68

py

Python

im_python.py

zkqiang/awesome-python-indexes

a03b009cf2234bdb82a024f625cf07d30dfb8d45

[ "MIT" ]

81

2019-09-04T04:51:37.000Z

2022-03-11T02:54:19.000Z

im_python.py

zkqiang/awesome-python-index

a03b009cf2234bdb82a024f625cf07d30dfb8d45

[ "MIT" ]

null

im_python.py

zkqiang/awesome-python-index

a03b009cf2234bdb82a024f625cf07d30dfb8d45

[ "MIT" ]

19

2019-09-08T15:45:07.000Z

2022-03-14T06:21:16.000Z

if __name__ == '__main__': print('This is a python repository')

22.666667

40

0.676471

9

68

4.222222

1

0

0.191176

68

2

41

34

0.690909

0

0.514706

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

b8b8ecf1127561319e8b2ba362fdc33e05196ba0

97

py

Python

tupperware/exceptions.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

4

2020-05-26T19:05:48.000Z

2021-06-28T15:30:21.000Z

tupperware/exceptions.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

null

tupperware/exceptions.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

null

class ImmutableStateError(Exception): """Raised when a container is forced to be mutated."""

32.333333

58

0.742268

12

97

6

1

0

0.154639

97

2

59

48.5

0.878049

0.494845

0

1

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true

0

1

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0

null

0

1

0

null

0

1

0

1

0

4

b2109ec78baca2435db154c7996da4ada8dade1b

122

py

Python

app/__init__.py

MarciaAndrea/atividade1_n2_marcia

f4227a21c008c2e791a28da6fdcac514827b624b

[ "MIT" ]

null

app/__init__.py

MarciaAndrea/atividade1_n2_marcia

f4227a21c008c2e791a28da6fdcac514827b624b

[ "MIT" ]

null

app/__init__.py

MarciaAndrea/atividade1_n2_marcia

f4227a21c008c2e791a28da6fdcac514827b624b

[ "MIT" ]

null

from flask import Flask app = Flask (__name__) app.config['DEBUG'] = True from app import views #from app import models

15.25

26

0.745902

19

122

4.578947

0.526316

0.16092

0.298851

0

0.172131

122

7

27

17.428571

0.861386

0.180328

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0.050505

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1

0

null

0

1

0

4

b22acf3da306f626e6f99e12c764c59759787409

446

py

Python

node_values.py

Hugo1991/TFM

11e9c08ac2b56820d8b741edee38ee04fb0c856a

[ "Apache-2.0" ]

null

node_values.py

Hugo1991/TFM

11e9c08ac2b56820d8b741edee38ee04fb0c856a

[ "Apache-2.0" ]

null

node_values.py

Hugo1991/TFM

11e9c08ac2b56820d8b741edee38ee04fb0c856a

[ "Apache-2.0" ]

null

class node_values: def __init__(self, iden, value): self.iden = iden self.value = value def get_iden(self): return self.iden def set_iden(self, iden): self.iden = iden def get_value(self): return self.value def set_value(self, value): self.value = value def __str__(self): iden = str(self.iden) value = str(self.value) return iden + ':' + value

20.272727

36

0.567265

58

446

4.137931

0.206897

0.233333

0.108333

0.141667

0

0.329596

446

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37

21.238095

0.802676

0

0.25

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0.002242

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0.375

false

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0.125

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null

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null

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0

4

b2311466eb5435db2e068184a7e7015c9b2f0355

125

py

Python

python/python_fund/lists.py

yanrong/book_demo

20cd13f3c3507a11e826ebbf22bd1c7bcb36e06f

[ "Apache-2.0" ]

null

python/python_fund/lists.py

yanrong/book_demo

20cd13f3c3507a11e826ebbf22bd1c7bcb36e06f

[ "Apache-2.0" ]

null

python/python_fund/lists.py

yanrong/book_demo

20cd13f3c3507a11e826ebbf22bd1c7bcb36e06f

[ "Apache-2.0" ]

null

#prints s sentence in a centered "box" of correct width #note that the integer division operator (//) only works in python

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0

null

0

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0

1

0

null

0

1

0

4

b233161373558bab9922ed14cc69db5f313c6bba

141

py

Python

odoo/custom/src/private/fieldservice_worker_geolocalize/models/__init__.py

mtelahun/odoo-geo

1473dabfa8bc082a552cbb88981635d9eb358dce

[ "BSL-1.0" ]

null

odoo/custom/src/private/fieldservice_worker_geolocalize/models/__init__.py

mtelahun/odoo-geo

1473dabfa8bc082a552cbb88981635d9eb358dce

[ "BSL-1.0" ]

null

odoo/custom/src/private/fieldservice_worker_geolocalize/models/__init__.py

mtelahun/odoo-geo

1473dabfa8bc082a552cbb88981635d9eb358dce

[ "BSL-1.0" ]

null

23.5

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0.723404

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5

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0

1

0

true

0

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0

null

0

1

0

null

0

1

0

1

0

4

b243056734ab7f2835b0251d03ede50c741756ca

151

py

Python

welcome.py

FHU-yezi/PostManageTools

b4bac6201f43a758ce18aafef1aebe684ab53009

[ "MIT" ]

null

welcome.py

FHU-yezi/PostManageTools

b4bac6201f43a758ce18aafef1aebe684ab53009

[ "MIT" ]

null

welcome.py

FHU-yezi/PostManageTools

b4bac6201f43a758ce18aafef1aebe684ab53009

[ "MIT" ]

null

import streamlit as st import config def main(): st.write("欢迎来到简书小岛管理平台！") if config.ISLAND_URL == None: st.write("请转到“设置”页面，填写小岛链接。")

21.571429

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1

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0

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0

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null

0

1

0

null

0

1

0

1

0

4

b250412f461177d40d5373c7038787eb941a673a

339

py

Python

bardhub/track/serializers.py

migdotcom/music-library

4648ea02e4b071c4a287eba09202045963992873

[ "MIT" ]

null

bardhub/track/serializers.py

migdotcom/music-library

4648ea02e4b071c4a287eba09202045963992873

[ "MIT" ]

null

bardhub/track/serializers.py

migdotcom/music-library

4648ea02e4b071c4a287eba09202045963992873

[ "MIT" ]

null

from .models import Track from rest_framework import serializers # Serializer class TrackSerializer(serializers.ModelSerializer): class Meta: model = Track fields = '__all__' class DeepTrackSerializer(serializers.ModelSerializer): class Meta: model = Track fields = '__all__' depth = 1

18.833333

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0

0.545455

0

null

1

0

null

0

1

0

4

b26adc46b065c3de874ad915ded1dc015d0d2482

292

py

Python

Chapter06/method-overriding.py

PacktPublishing/Learning-Python-by-building-games

0713e6fc141b2cd201128560ae0c3b689b7d2116

[ "MIT" ]

25

2019-09-01T16:19:16.000Z

2021-12-20T07:08:35.000Z

Chapter06/method-overriding.py

PacktPublishing/Learning-Python-by-building-games.

0713e6fc141b2cd201128560ae0c3b689b7d2116

[ "MIT" ]

4

2019-08-27T19:45:48.000Z

2020-07-24T12:29:56.000Z

Chapter06/method-overriding.py

PacktPublishing/Learning-Python-by-building-games

0713e6fc141b2cd201128560ae0c3b689b7d2116

[ "MIT" ]

24

2019-06-01T18:31:07.000Z

2022-03-15T19:24:34.000Z

class Bird: def about(self): print("Species: Bird") def Dance(self): print("Not all but some birds can dance") class Peacock(Bird): def Dance(self): print("Peacock can dance") class Sparrow(Bird): def Dance(self): print("Sparrow can't dance")

22.461538

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292

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0

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0

null

0

1

0

null

0

1

0

1

0

4

b26dda666de547c605686d2415a31894dcdeb4ca

103

py

Python

gas_mileage_api/apps.py

jclaneve/gas-mileage-api

73046f6337563d023f73a47e4c73155d648bef14

[ "MIT" ]

null

gas_mileage_api/apps.py

jclaneve/gas-mileage-api

73046f6337563d023f73a47e4c73155d648bef14

[ "MIT" ]

null

gas_mileage_api/apps.py

jclaneve/gas-mileage-api

73046f6337563d023f73a47e4c73155d648bef14

[ "MIT" ]

null

from django.apps import AppConfig class GasMileageApiConfig(AppConfig): name = 'gas_mileage_api'

17.166667

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103

6.583333

0.916667

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103

5

38

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0

0.145631

0

1

0

false

0

0.333333

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

b27ff4bcfcf7348aabd36ca3040852463702dbab

102

py

Python

anvil/errors.py

coiax/anvil-parser

712e3c32575003c6e36bd4339bfb476fb0ef631f

[ "MIT" ]

1

2021-03-11T05:25:21.000Z

anvil/errors.py

coiax/anvil-parser

712e3c32575003c6e36bd4339bfb476fb0ef631f

[ "MIT" ]

null

anvil/errors.py

coiax/anvil-parser

712e3c32575003c6e36bd4339bfb476fb0ef631f

[ "MIT" ]

1

2022-03-16T21:24:07.000Z

class OutOfBoundsCoordinates(ValueError): """Error used for when coordinates are out of bounds"""

34

59

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12

102

6.5

1

0

0.147059

102

2

60

51

0.896552

0.480392

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

b293056f63cade7c8fa21dd6dc23bbce851c5470

238

py

Python

venv/lib/python3.8/site-packages/oauth2/test/__init__.py

wjone005/Netflix_Tinder

92a167ccfaee96b15c36b2f70c2b2d5d7e43e069

[ "MIT" ]

120

2015-02-21T10:07:36.000Z

2021-05-05T17:31:06.000Z

venv/lib/python3.8/site-packages/oauth2/test/__init__.py

wjone005/Netflix_Tinder

92a167ccfaee96b15c36b2f70c2b2d5d7e43e069

[ "MIT" ]

27

2015-02-11T03:40:11.000Z

2019-06-28T18:05:50.000Z

venv/lib/python3.8/site-packages/oauth2/test/__init__.py

wjone005/Netflix_Tinder

92a167ccfaee96b15c36b2f70c2b2d5d7e43e069

[ "MIT" ]

51

2015-02-10T03:37:30.000Z

2021-12-17T10:45:25.000Z

import sys # Enables unit tests to work under Python 2.6 # Code copied from # https://github.com/facebook/tornado/blob/master/tornado/test/util.py if sys.version_info >= (2, 7): import unittest else: import unittest2 as unittest

23.8

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238

4.605263

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0

0.025

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238

9

71

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null

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1

0

1

0

1

0

4

a22d4daf4de0ac47f6fbaaf4474e8c3b5fabf7e7

67

py

Python

data/__init__.py

erichhhhho/DM6190_Courswork

036aae03ca7e6b2f53a9e82634c8f4ec0f45f0a5

[ "MIT" ]

2

2019-01-10T05:02:14.000Z

2019-05-27T04:46:41.000Z

data/__init__.py

erichhhhho/DM6190_Courswork

036aae03ca7e6b2f53a9e82634c8f4ec0f45f0a5

[ "MIT" ]

null

data/__init__.py

erichhhhho/DM6190_Courswork

036aae03ca7e6b2f53a9e82634c8f4ec0f45f0a5

[ "MIT" ]

null

import os DATA_PATH = os.path.dirname(os.path.realpath(__file__))

16.75

55

0.776119

11

67

4.272727

0.636364

0.255319

0

0.089552

67

3

56

22.333333

0.770492

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

a22e8618b21febb9efc6ebc93561860d46413e7d

136

py

Python

intake_bluesky_files/__init__.py

ronpandolfi/intake-bluesky-files

5dfd5550eae7c8788cf9c270973cc126983896ff

[ "BSD-3-Clause" ]

null

intake_bluesky_files/__init__.py

ronpandolfi/intake-bluesky-files

5dfd5550eae7c8788cf9c270973cc126983896ff

[ "BSD-3-Clause" ]

null

intake_bluesky_files/__init__.py

ronpandolfi/intake-bluesky-files

5dfd5550eae7c8788cf9c270973cc126983896ff

[ "BSD-3-Clause" ]

1

2019-03-25T13:00:25.000Z

from .filehandlerplugin import FileHandlerPlugin from .filescatalog import FilesCatalog __all__ = ['FileHandlerPlugin', 'FilesCatalog']

34

48

0.838235

11

136

10

0.454545

0

0.088235

136

4

49

34

0.887097

0

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0

false

0

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null

0

1

0

null

0

1

0

1

0

4

a231cba052dbf1def7bb22d15878e058dfdcb294

4,657

py

Python

fixture/contact.py

imukhina/python_training

9277da01743981e55f24b5678e97a476fd5f8ec5

[ "Apache-2.0" ]

null

fixture/contact.py

imukhina/python_training

9277da01743981e55f24b5678e97a476fd5f8ec5

[ "Apache-2.0" ]

null

fixture/contact.py

imukhina/python_training

9277da01743981e55f24b5678e97a476fd5f8ec5

[ "Apache-2.0" ]

null

class ContactHelper: def __init__(self, app): self.app = app def create(self, contact): wd = self.app.wd wd.find_element_by_link_text("add new").click() wd.find_element_by_name("firstname").click() wd.find_element_by_name("firstname").clear() wd.find_element_by_name("firstname").send_keys(contact.first) wd.find_element_by_name("middlename").click() wd.find_element_by_name("middlename").clear() wd.find_element_by_name("middlename").send_keys(contact.middle) wd.find_element_by_name("lastname").click() wd.find_element_by_name("lastname").clear() wd.find_element_by_name("lastname").send_keys(contact.last) wd.find_element_by_name("nickname").click() wd.find_element_by_name("nickname").clear() wd.find_element_by_name("nickname").send_keys(contact.nick) wd.find_element_by_name("title").click() wd.find_element_by_name("title").clear() wd.find_element_by_name("title").send_keys(contact.title) wd.find_element_by_name("company").click() wd.find_element_by_name("company").clear() wd.find_element_by_name("company").send_keys(contact.company) wd.find_element_by_name("address").click() wd.find_element_by_name("address").clear() wd.find_element_by_name("address").send_keys(contact.address) wd.find_element_by_name("home").click() wd.find_element_by_name("theform").click() wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.home) wd.find_element_by_name("mobile").click() wd.find_element_by_name("mobile").clear() wd.find_element_by_name("mobile").send_keys(contact.mob) wd.find_element_by_name("work").click() wd.find_element_by_name("work").clear() wd.find_element_by_name("work").send_keys(contact.work) wd.find_element_by_name("fax").click() wd.find_element_by_name("fax").clear() wd.find_element_by_name("fax").send_keys(contact.fax) wd.find_element_by_name("home").click() wd.find_element_by_name("home").clear() wd.find_element_by_name("home").send_keys(contact.homephone) wd.find_element_by_name("email2").click() wd.find_element_by_name("email2").clear() wd.find_element_by_name("email2").send_keys(contact.email) wd.find_element_by_name("homepage").click() wd.find_element_by_name("homepage").clear() wd.find_element_by_name("homepage").send_keys(contact.homepage) if not wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[15]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[15]").click() if not wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[6]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[6]").click() wd.find_element_by_name("byear").click() wd.find_element_by_name("byear").clear() wd.find_element_by_name("byear").send_keys(contact.birthyear) if not wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[6]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[6]").click() if not wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[5]").is_selected(): wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[5]").click() wd.find_element_by_name("theform").click() wd.find_element_by_name("address2").click() wd.find_element_by_name("address2").clear() wd.find_element_by_name("address2").send_keys(contact.address) wd.find_element_by_name("phone2").click() wd.find_element_by_name("phone2").clear() wd.find_element_by_name("phone2").send_keys(contact.homephone) wd.find_element_by_name("notes").click() wd.find_element_by_name("notes").clear() wd.find_element_by_name("notes").send_keys(contact.note) wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click() wd.find_element_by_link_text("home").click() def delete_first_contact(self): wd = self.app.wd wd.find_element_by_link_text("home").click() #select first contact wd.find_element_by_name("selected[]").click() #submit detetion wd.find_element_by_xpath("//div[@id='content']/form[2]/div[2]/input").click() wd.switch_to_alert().accept()

52.920455

105

0.671462

671

4,657

4.293592

0.111773

0.147865

0.320375

0.369663

0.844846

0.836515

0.434918

0.377994

0.363763

0.29226

0

0.007945

0.162122

4,657

87

106

53.528736

0.730395

0.007516

0

0.139241

0

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0

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0.037975

false

0

0.050633

0

null

0

1

0

null

0

4

a23bedf66effbbffc32e32dfb5e2eb16439641f5

126

py

Python

global_var.py

Elusive7733/Visualized-Pathfinding-GUI

8febe42cee1cba3ef1c973f071949bd8f5eec365

[ "MIT" ]

null

global_var.py

Elusive7733/Visualized-Pathfinding-GUI

8febe42cee1cba3ef1c973f071949bd8f5eec365

[ "MIT" ]

null

global_var.py

Elusive7733/Visualized-Pathfinding-GUI

8febe42cee1cba3ef1c973f071949bd8f5eec365

[ "MIT" ]

null

import pygame WIDTH = 800 Win = pygame.display.set_mode((WIDTH, WIDTH)) pygame.display.set_caption("Path-Finding Algorithm")

21

52

0.777778

18

126

5.333333

0.666667

0.270833

0.333333

0

0.026316

0.095238

126

5

53

25.2

0.815789

0

0.174603

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

4

a25d8e45712c8acdb43f8bcccd68e3d7710190ca

46

py

Python

selenium/network/__init__.py

PyLearner/myworks

6dd87bfce5d0b3b17d02248fceb3d91d97cab7d5

[ "Apache-2.0" ]

null

selenium/network/__init__.py

PyLearner/myworks

6dd87bfce5d0b3b17d02248fceb3d91d97cab7d5

[ "Apache-2.0" ]

null

selenium/network/__init__.py

PyLearner/myworks

6dd87bfce5d0b3b17d02248fceb3d91d97cab7d5

[ "Apache-2.0" ]

null

__author__ = 'myang' from . import a10api

11.5

21

0.673913

5

46

5.4

1

0

0.057143

0.23913

46

3

22

15.333333

0.714286

0

0.116279

0

1

0

false

0

0.5

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0.5

0

1

0

null

0

1

0

null

0

1

0

4

a289b2dafd4a5aea41ca6b5bcd9659d0dd19deec

36,929

py

Python

trestsetset.py

Johannes0Horn/RL_sample_injection

02b105bd66dddbde8a748a8c8ae232f83ab9f1f2

[ "MIT" ]

1

2021-10-18T07:06:35.000Z

trestsetset.py

Johannes0Horn/RL_sample_injection

02b105bd66dddbde8a748a8c8ae232f83ab9f1f2

[ "MIT" ]

null

trestsetset.py

Johannes0Horn/RL_sample_injection

02b105bd66dddbde8a748a8c8ae232f83ab9f1f2

[ "MIT" ]

null

Testing Team Agent... init state: [-0.69521889 -0.64149914] obs in episode 0, before step: 0: [ 0.7679135 -0.64055353 -0.64149916] ----------------- obs in episode 0, before step: 3: [ 0.7350059 -0.6780607 -0.99804115] ----------------- obs in episode 0, before step: 6: [ 0.68224907 -0.7311199 -1.4968196 ] ----------------- obs in episode 0, before step: 9: [ 0.6009578 -0.79928076 -2.1227095 ] ----------------- obs in episode 0, before step: 12: [ 0.48241338 -0.87594366 -2.825822 ] ----------------- obs in episode 0, before step: 15: [ 0.31717435 -0.94836724 -3.6131864 ] ----------------- obs in episode 0, before step: 18: [ 0.10117439 -0.9948687 -4.4280143 ] ----------------- obs in episode 0, before step: 21: [-0.16361555 -0.98652416 -5.314046 ] ----------------- obs in episode 0, before step: 24: [-0.4561849 -0.889885 -6.1869755] ----------------- obs in episode 0, before step: 27: [-0.73359084 -0.6795914 -6.9977508 ] ----------------- obs in episode 0, before step: 30: [-0.93423104 -0.35666835 -7.650125 ] ----------------- obs in episode 0, before step: 33: [-0.999377 0.0352934 -8. ] ----------------- obs in episode 0, before step: 36: [-0.9067433 0.4216831 -8. ] ----------------- obs in episode 0, before step: 39: [-0.6790728 0.73407096 -7.779936 ] ----------------- obs in episode 0, before step: 42: [-0.3793642 0.92524743 -7.1477957 ] ----------------- obs in episode 0, before step: 45: [-0.07343058 0.9973003 -6.312246 ] ----------------- obs in episode 0, before step: 48: [ 0.19680385 0.9804429 -5.4318733 ] ----------------- obs in episode 0, before step: 51: [ 0.41443956 0.91007686 -4.584599 ] ----------------- obs in episode 0, before step: 54: [ 0.58048606 0.8142702 -3.839972 ] ----------------- obs in episode 0, before step: 57: [ 0.7054375 0.7087721 -3.2742946] ----------------- obs in episode 0, before step: 60: [ 0.79726267 0.6036325 -2.794132 ] ----------------- obs in episode 0, before step: 63: [ 0.8635857 0.50420207 -2.3918352 ] ----------------- obs in episode 0, before step: 66: [ 0.9094957 0.41571328 -1.994617 ] ----------------- obs in episode 0, before step: 69: [ 0.9407101 0.33921146 -1.6529675 ] ----------------- obs in episode 0, before step: 72: [ 0.96277106 0.2703182 -1.4471004 ] ----------------- obs in episode 0, before step: 75: [ 0.97705084 0.21300623 -1.181455 ] ----------------- obs in episode 0, before step: 78: [ 0.9861195 0.16603695 -0.9568261 ] ----------------- obs in episode 0, before step: 81: [ 0.99169123 0.12864095 -0.75622076] ----------------- obs in episode 0, before step: 84: [ 0.99499285 0.09994624 -0.5777008 ] ----------------- obs in episode 0, before step: 87: [ 0.9970909 0.07622165 -0.47635463] ----------------- obs in episode 0, before step: 90: [ 0.9984661 0.05536732 -0.41800016] ----------------- obs in episode 0, before step: 93: [ 0.99915874 0.04100972 -0.28748843] ----------------- obs in episode 0, before step: 96: [ 0.9996162 0.02770272 -0.26629925] ----------------- obs in episode 0, before step: 99: [ 0.9998743 0.01585381 -0.23703574] ----------------- obs in episode 0, before step: 102: [ 0.99997824 0.00659847 -0.18511918] ----------------- obs in episode 0, before step: 105: [ 0.99999946 -0.00104001 -0.1527705 ] ----------------- obs in episode 0, before step: 108: [ 0.9999766 -0.00684483 -0.11609747] ----------------- obs in episode 0, before step: 111: [ 0.99992716 -0.01206787 -0.10446563] ----------------- obs in episode 0, before step: 114: [ 0.99987274 -0.01595336 -0.07771751] ----------------- obs in episode 0, before step: 117: [ 0.9997904 -0.02047507 -0.0904492 ] ----------------- obs in episode 0, before step: 120: [ 0.9997559 -0.02209422 -0.0323904 ] ----------------- obs in episode 0, before step: 123: [ 0.99969363 -0.02475187 -0.05316758] ----------------- obs in episode 0, before step: 126: [ 0.99965453 -0.02628322 -0.03063691] ----------------- obs in episode 0, before step: 129: [ 0.99954647 -0.03011491 -0.07666447] ----------------- obs in episode 0, before step: 132: [ 0.9995517 -0.029939 0.00351988] ----------------- obs in episode 0, before step: 135: [ 0.9995107 -0.03127842 -0.026801 ] ----------------- obs in episode 0, before step: 138: [ 0.9995283 -0.030711 0.01135391] ----------------- obs in episode 0, before step: 141: [ 0.99952626 -0.03077761 -0.00133292] ----------------- obs in episode 0, before step: 144: [ 0.999499 -0.03165016 -0.01745941] ----------------- obs in episode 0, before step: 147: [ 0.99952215 -0.03091098 0.0147909 ] ----------------- obs in episode 0, before step: 150: [ 0.9994726 -0.032472 -0.03123626] ----------------- obs in episode 0, before step: 153: [ 0.9994599 -0.03286048 -0.00777366] ----------------- obs in episode 0, before step: 156: [ 9.9945945e-01 -3.2875881e-02 -3.0821879e-04] ----------------- obs in episode 0, before step: 159: [ 0.99942976 -0.03376595 -0.01781118] ----------------- obs in episode 0, before step: 162: [ 0.999454 -0.03303972 0.01453264] ----------------- obs in episode 0, before step: 165: [ 0.9994238 -0.03394186 -0.01805307] ----------------- obs in episode 0, before step: 168: [ 0.9994156 -0.03418325 -0.00483038] ----------------- obs in episode 0, before step: 171: [ 0.9994116 -0.0343007 -0.00235039] ----------------- obs in episode 0, before step: 174: [ 0.99944484 -0.03331685 0.01968805] ----------------- obs in episode 0, before step: 177: [ 0.9994232 -0.03395974 -0.01286487] ----------------- obs in episode 0, before step: 180: [ 0.9994022 -0.0345719 -0.01225055] ----------------- obs in episode 0, before step: 183: [ 0.99940467 -0.03450119 0.00141514] ----------------- obs in episode 0, before step: 186: [ 0.99939257 -0.03485021 -0.00698473] ----------------- obs in episode 0, before step: 189: [ 0.99941134 -0.0343073 0.01086478] ----------------- obs in episode 0, before step: 192: [ 0.9993649 -0.03563463 -0.02656283] ----------------- obs in episode 0, before step: 195: [ 0.99938124 -0.03517257 0.00924694] ----------------- obs in episode 0, before step: 198: [ 0.99938524 -0.03505965 0.00225982] ----------------- obs in episode 0, before step: 201: [ 0.99934846 -0.0360929 -0.02067796] ----------------- obs in episode 0, before step: 204: [ 9.9934834e-01 -3.6095683e-02 -5.5788998e-05] ----------------- obs in episode 0, before step: 207: [ 0.9993714 -0.03545191 0.01288366] ----------------- obs in episode 0, before step: 210: [ 0.99935 -0.03604947 -0.01195892] ----------------- obs in episode 0, before step: 213: [ 0.99937856 -0.0352494 0.01601177] ----------------- obs in episode 0, before step: 216: [ 0.99936336 -0.03567752 -0.00856781] ----------------- obs in episode 0, before step: 219: [ 0.9993942 -0.03480359 0.01748935] ----------------- obs in episode 0, before step: 222: [ 0.999405 -0.03449079 0.0062599 ] ----------------- obs in episode 0, before step: 225: [ 0.9994338 -0.03364638 0.01689794] ----------------- obs in episode 0, before step: 228: [ 0.99941087 -0.03432069 -0.01349396] ----------------- obs in episode 0, before step: 231: [ 0.999445 -0.0333122 0.02018122] ----------------- obs in episode 0, before step: 234: [ 0.99942315 -0.0339605 -0.01297319] ----------------- obs in episode 0, before step: 237: [ 0.9994448 -0.03331779 0.01286135] ----------------- obs in episode 0, before step: 240: [ 0.9995061 -0.0314255 0.0378656] ----------------- obs in episode 0, before step: 243: [ 0.9994335 -0.03365409 -0.04459531] ----------------- obs in episode 0, before step: 246: [ 0.9994477 -0.03323045 0.00847744] ----------------- obs in episode 0, before step: 249: [ 0.99943095 -0.03373163 -0.01002922] ----------------- obs in episode 0, before step: 252: [ 0.9994225 -0.03398114 -0.00499308] ----------------- obs in episode 0, before step: 255: [ 0.99942535 -0.03389638 0.00169621] ----------------- obs in episode 0, before step: 258: [ 0.9994129 -0.03426163 -0.0073091 ] ----------------- obs in episode 0, before step: 261: [ 0.99942195 -0.03399716 0.00529247] ----------------- obs in episode 0, before step: 264: [ 0.9994023 -0.03457024 -0.01146851] ----------------- obs in episode 0, before step: 267: [ 0.9993908 -0.0349014 -0.00662707] ----------------- obs in episode 0, before step: 270: [ 0.99937534 -0.03534015 -0.00878052] ----------------- obs in episode 0, before step: 273: [ 0.99936974 -0.03549827 -0.00316428] ----------------- obs in episode 0, before step: 276: [ 0.9994017 -0.03458659 0.01824484] ----------------- obs in episode 0, before step: 279: [ 0.99940753 -0.0344177 0.0033798 ] ----------------- obs in episode 0, before step: 282: [ 0.99940103 -0.03460674 -0.00378313] ----------------- obs in episode 0, before step: 285: [ 0.9994303 -0.03375028 0.01713922] ----------------- obs in episode 0, before step: 288: [ 0.9994024 -0.03456711 -0.01634613] ----------------- obs in episode 0, before step: 291: [ 0.9994448 -0.03331842 0.02498816] ----------------- obs in episode 0, before step: 294: [ 0.9993925 -0.03485096 -0.0306685 ] ----------------- obs in episode 0, before step: 297: [ 0.99942034 -0.03404346 0.01615958] ----------------- obs in episode 0, before step: 300: [ 0.9993502 -0.03604428 -0.04004117] ----------------- obs in episode 0, before step: 303: [ 0.99941385 -0.0342338 0.03623213] ----------------- obs in episode 0, before step: 306: [ 0.9993523 -0.03598686 -0.03508282] ----------------- obs in episode 0, before step: 309: [ 0.99939543 -0.03476722 0.02440796] ----------------- obs in episode 0, before step: 312: [ 0.99941003 -0.03434578 0.0084338 ] ----------------- obs in episode 0, before step: 315: [ 0.999418 -0.03411215 0.00467542] ----------------- obs in episode 0, before step: 318: [ 0.9993813 -0.03517121 -0.02119401] ----------------- obs in episode 0, before step: 321: [ 0.9993875 -0.03499454 0.00353562] ----------------- obs in episode 0, before step: 324: [ 0.9993673 -0.03556686 -0.01145355] ----------------- obs in episode 0, before step: 327: [ 0.99938494 -0.03506794 0.00998464] ----------------- obs in episode 0, before step: 330: [ 0.9993361 -0.0364324 -0.0273066] ----------------- obs in episode 0, before step: 333: [ 0.99935126 -0.03601454 0.00836271] ----------------- obs in episode 0, before step: 336: [ 0.9993778 -0.03527043 0.01489162] ----------------- obs in episode 0, before step: 339: [ 0.9994135 -0.03424351 0.02055082] ----------------- obs in episode 0, before step: 342: [ 0.9994284 -0.03380611 0.00875314] ----------------- obs in episode 0, before step: 345: [ 0.9994701 -0.03254973 0.02514143] ----------------- obs in episode 0, before step: 348: [ 0.9994149 -0.03420206 -0.033065 ] ----------------- obs in episode 0, before step: 351: [ 0.99943393 -0.03364205 0.01120657] ----------------- obs in episode 0, before step: 354: [ 0.99945956 -0.03287163 0.01541685] ----------------- obs in episode 0, before step: 357: [ 0.99939257 -0.03485 -0.03959007] ----------------- obs in episode 0, before step: 360: [ 0.9994565 -0.03296454 0.03773096] ----------------- obs in episode 0, before step: 363: [ 0.9995456 -0.03014433 0.05643238] ----------------- obs in episode 0, before step: 366: [ 0.9996205 -0.02754806 0.05194701] ----------------- obs in episode 0, before step: 369: [ 0.99969095 -0.02485959 0.0537879 ] ----------------- obs in episode 0, before step: 372: [ 0.99973696 -0.02293367 0.03852939] ----------------- obs in episode 0, before step: 375: [ 0.9997537 -0.02219314 0.01481426] ----------------- obs in episode 0, before step: 378: [ 0.9997717 -0.02136551 0.01655656] ----------------- obs in episode 0, before step: 381: [ 0.9997858 -0.02069902 0.01333285] ----------------- obs in episode 0, before step: 384: [ 0.99979734 -0.02013073 0.01136815] ----------------- obs in episode 0, before step: 387: [ 0.9997882 -0.02057972 -0.00898171] ----------------- obs in episode 0, before step: 390: [ 0.99970347 -0.02435058 -0.07543632] ----------------- obs in episode 0, before step: 393: [ 0.99968094 -0.02526016 -0.01819721] ----------------- obs in episode 0, before step: 396: [ 0.99960405 -0.02813869 -0.05759111] ----------------- obs in episode 0, before step: 399: [ 0.9995896 -0.02864486 -0.01012752] ----------------- obs in episode 0, before step: 402: [ 0.9995247 -0.03082804 -0.0436828 ] ----------------- obs in episode 0, before step: 405: [ 0.99946487 -0.03271041 -0.0376664 ] ----------------- obs in episode 0, before step: 408: [ 0.9994608 -0.03283403 -0.00247379] ----------------- obs in episode 0, before step: 411: [ 0.99945754 -0.03293395 -0.00199942] ----------------- obs in episode 0, before step: 414: [ 0.9994451 -0.03330953 -0.00751571] ----------------- obs in episode 0, before step: 417: [ 0.99945366 -0.03305148 0.00516383] ----------------- obs in episode 0, before step: 420: [ 0.9994354 -0.03359737 -0.01092399] ----------------- obs in episode 0, before step: 423: [ 0.99947023 -0.03254608 0.02103723] ----------------- obs in episode 0, before step: 426: [ 0.9994296 -0.03377146 -0.02452088] ----------------- obs in episode 0, before step: 429: [ 9.9942857e-01 -3.3801463e-02 -6.0050888e-04] ----------------- obs in episode 0, before step: 432: [ 0.9994625 -0.03278235 0.02039362] ----------------- obs in episode 0, before step: 435: [ 0.99942464 -0.03391692 -0.02270403] ----------------- obs in episode 0, before step: 438: [ 0.99943465 -0.03362178 0.0059061 ] ----------------- obs in episode 0, before step: 441: [ 0.99940157 -0.03459011 -0.01937793] ----------------- obs in episode 0, before step: 444: [ 0.9994074 -0.0344211 0.00338218] ----------------- obs in episode 0, before step: 447: [ 0.99942213 -0.03399138 0.00859957] ----------------- obs in episode 0, before step: 450: [ 0.99944824 -0.03321398 0.0155567 ] ----------------- obs in episode 0, before step: 453: [ 0.99941224 -0.03428155 -0.02136344] ----------------- obs in episode 0, before step: 456: [ 0.99946076 -0.03283568 0.02893366] ----------------- obs in episode 0, before step: 459: [ 0.9994013 -0.03459898 -0.03528619] ----------------- obs in episode 0, before step: 462: [ 0.9994623 -0.03278893 0.03622165] ----------------- obs in episode 0, before step: 465: [ 0.99938166 -0.03516139 -0.04747654] ----------------- obs in episode 0, before step: 468: [ 0.9993929 -0.03483925 0.00644674] ----------------- obs in episode 0, before step: 471: [ 0.9993911 -0.03489193 -0.00105423] ----------------- obs in episode 0, before step: 474: [ 0.99936473 -0.03563956 -0.01496203] ----------------- obs in episode 0, before step: 477: [ 0.9993851 -0.03506282 0.01154206] ----------------- obs in episode 0, before step: 480: [ 0.9994027 -0.03455842 0.01009421] ----------------- obs in episode 0, before step: 483: [ 0.9993989 -0.03466792 -0.00219128] ----------------- obs in episode 0, before step: 486: [ 0.9994186 -0.03409484 0.01146828] ----------------- obs in episode 0, before step: 489: [ 0.99945015 -0.03315682 0.01877102] ----------------- obs in episode 0, before step: 492: [ 0.99942166 -0.03400441 -0.01696133] ----------------- obs in episode 0, before step: 495: [ 0.99944985 -0.033167 0.01675749] ----------------- obs in episode 0, before step: 498: [ 0.9994205 -0.03403919 -0.0174536 ] ----------------- obs in episode 0, before step: 501: [ 0.9993881 -0.03497789 -0.01878515] ----------------- obs in episode 0, before step: 504: [ 0.9994281 -0.03381502 0.02327125] ----------------- obs in episode 0, before step: 507: [ 0.99938416 -0.03509002 -0.02551526] ----------------- obs in episode 0, before step: 510: [ 0.9993681 -0.03554559 -0.00911713] ----------------- obs in episode 0, before step: 513: [ 9.9936783e-01 -3.5551749e-02 -1.2318334e-04] ----------------- obs in episode 0, before step: 516: [ 9.9936628e-01 -3.5594691e-02 -8.5935835e-04] ----------------- obs in episode 0, before step: 519: [ 0.99934816 -0.03610088 -0.01013025] ----------------- obs in episode 0, before step: 522: [ 0.999355 -0.03591003 0.00381951] ----------------- obs in episode 0, before step: 525: [ 0.99935126 -0.03601494 -0.00209956] ----------------- obs in episode 0, before step: 528: [ 0.9994092 -0.03436949 0.03292928] ----------------- obs in episode 0, before step: 531: [ 0.9993598 -0.03577655 -0.02815853] ----------------- obs in episode 0, before step: 534: [ 0.99934417 -0.03621012 -0.00867689] ----------------- obs in episode 0, before step: 537: [ 0.99938506 -0.03506469 0.02292307] ----------------- obs in episode 0, before step: 540: [ 0.9992907 -0.03765689 -0.05187828] ----------------- obs in episode 0, before step: 543: [ 0.99932253 -0.03680266 0.01709646] ----------------- obs in episode 0, before step: 546: [ 0.9993502 -0.03604377 0.01518782] ----------------- obs in episode 0, before step: 549: [ 0.9993608 -0.0357489 0.00590125] ----------------- obs in episode 0, before step: 552: [ 9.9936199e-01 -3.5716426e-02 6.4986752e-04] ----------------- obs in episode 0, before step: 555: [ 0.9994069 -0.03443754 0.02559351] ----------------- obs in episode 0, before step: 558: [ 0.9994113 -0.03430946 0.00256303] ----------------- obs in episode 0, before step: 561: [ 0.999414 -0.03422844 0.00162145] ----------------- obs in episode 0, before step: 564: [ 0.9993943 -0.03479993 -0.01143656] ----------------- obs in episode 0, before step: 567: [ 0.99940354 -0.03453336 0.00533458] ----------------- obs in episode 0, before step: 570: [ 0.9994181 -0.03411093 0.00845356] ----------------- obs in episode 0, before step: 573: [ 0.9993815 -0.0351655 -0.02110414] ----------------- obs in episode 0, before step: 576: [ 0.999424 -0.03393625 0.02459967] ----------------- obs in episode 0, before step: 579: [ 0.999402 -0.03457767 -0.0128359 ] ----------------- obs in episode 0, before step: 582: [ 0.99939704 -0.034722 -0.00288828] ----------------- obs in episode 0, before step: 585: [ 0.9994139 -0.03423196 0.00980648] ----------------- obs in episode 0, before step: 588: [ 0.9993422 -0.03626571 -0.04070015] ----------------- obs in episode 0, before step: 591: [ 0.9993778 -0.03527075 0.01991181] ----------------- obs in episode 0, before step: 594: [ 0.9993589 -0.03580291 -0.01064991] ----------------- obs in episode 0, before step: 597: [ 0.99939734 -0.03471319 0.02180793] ----------------- init state: [-0.37165605 0.61113661] obs in episode 1, before step: 0: [ 0.93172723 -0.3631589 0.6111366 ] ----------------- obs in episode 1, before step: 3: [ 0.9400827 -0.3409464 0.47465184] ----------------- obs in episode 1, before step: 6: [ 0.9460134 -0.3241276 0.3566807] ----------------- obs in episode 1, before step: 9: [ 0.9499183 -0.3124982 0.24535179] ----------------- obs in episode 1, before step: 12: [ 0.95201755 -0.30604342 0.13575146] ----------------- obs in episode 1, before step: 15: [ 0.95245916 -0.30466625 0.02892504] ----------------- obs in episode 1, before step: 18: [ 0.9514987 -0.3076528 -0.06274383] ----------------- obs in episode 1, before step: 21: [ 0.94912136 -0.31491056 -0.15274452] ----------------- obs in episode 1, before step: 24: [ 0.9450208 -0.3270102 -0.25551364] ----------------- obs in episode 1, before step: 27: [ 0.938758 -0.3445772 -0.37300506] ----------------- obs in episode 1, before step: 30: [ 0.9276664 -0.37341002 -0.617877 ] ----------------- obs in episode 1, before step: 33: [ 0.91230196 -0.40951818 -0.78487325] ----------------- obs in episode 1, before step: 36: [ 0.88585454 -0.46396303 -1.2107562 ] ----------------- obs in episode 1, before step: 39: [ 0.8452943 -0.534301 -1.6243378] ----------------- obs in episode 1, before step: 42: [ 0.78927547 -0.6140393 -1.9497521 ] ----------------- obs in episode 1, before step: 45: [ 0.71116334 -0.7030268 -2.3695312 ] ----------------- obs in episode 1, before step: 48: [ 0.6028044 -0.797889 -2.8828065] ----------------- obs in episode 1, before step: 51: [ 0.45360973 -0.8912004 -3.5239935 ] ----------------- obs in episode 1, before step: 54: [ 0.2535496 -0.9673224 -4.289272 ] ----------------- obs in episode 1, before step: 57: [-1.8131369e-03 -9.9999833e-01 -5.1632233e+00] ----------------- obs in episode 1, before step: 60: [-0.29927865 -0.95416576 -6.042468 ] ----------------- obs in episode 1, before step: 63: [-0.60389876 -0.797061 -6.88894 ] ----------------- obs in episode 1, before step: 66: [-0.85732996 -0.5147672 -7.633533 ] ----------------- obs in episode 1, before step: 69: [-0.990113 -0.14027202 -8. ] ----------------- obs in episode 1, before step: 72: [-0.96657896 0.25636908 -8. ] ----------------- obs in episode 1, before step: 75: [-0.7918573 0.61070615 -7.9537635 ] ----------------- obs in episode 1, before step: 78: [-0.5112208 0.85944945 -7.544793 ] ----------------- obs in episode 1, before step: 81: [-0.1966004 0.9804837 -6.7743034] ----------------- obs in episode 1, before step: 84: [ 0.09701206 0.9952832 -5.9010863 ] ----------------- obs in episode 1, before step: 87: [ 0.34089494 0.9401014 -5.014076 ] ----------------- obs in episode 1, before step: 90: [ 0.52844465 0.84896773 -4.1779766 ] ----------------- obs in episode 1, before step: 93: [ 0.66912186 0.7431527 -3.5251808 ] ----------------- obs in episode 1, before step: 96: [ 0.7706954 0.63720375 -2.9381037 ] ----------------- obs in episode 1, before step: 99: [ 0.84465754 0.535307 -2.5198684 ] ----------------- obs in episode 1, before step: 102: [ 0.89669156 0.4426559 -2.1262555 ] ----------------- obs in episode 1, before step: 105: [ 0.9324663 0.36125693 -1.7788583 ] ----------------- obs in episode 1, before step: 108: [ 0.95734954 0.2889322 -1.5300841 ] ----------------- obs in episode 1, before step: 111: [ 0.9734268 0.2289983 -1.2412555] ----------------- obs in episode 1, before step: 114: [ 0.9837745 0.17940961 -1.0132445 ] ----------------- obs in episode 1, before step: 117: [ 0.99022 0.1395148 -0.8082975] ----------------- obs in episode 1, before step: 120: [ 0.9941132 0.10834648 -0.6282363 ] ----------------- obs in episode 1, before step: 123: [ 0.9965572 0.08290833 -0.5111197 ] ----------------- obs in episode 1, before step: 126: [ 0.9981215 0.06126606 -0.43398306] ----------------- obs in episode 1, before step: 129: [ 0.9989895 0.04494364 -0.32691345] ----------------- obs in episode 1, before step: 132: [ 0.99954927 0.03002056 -0.2986742 ] ----------------- obs in episode 1, before step: 135: [ 0.9998092 0.01953339 -0.20980874] ----------------- obs in episode 1, before step: 138: [ 0.9999528 0.0097153 -0.1963836] ----------------- obs in episode 1, before step: 141: [ 0.9999986 0.00165326 -0.16124383] ----------------- obs in episode 1, before step: 144: [ 0.9999887 -0.00476306 -0.12832686] ----------------- obs in episode 1, before step: 147: [ 0.9999399 -0.01096438 -0.12403049] ----------------- obs in episode 1, before step: 150: [ 0.9998836 -0.01525708 -0.08586145] ----------------- obs in episode 1, before step: 153: [ 0.9998258 -0.01866653 -0.0681988 ] ----------------- obs in episode 1, before step: 156: [ 0.999741 -0.02275647 -0.08181642] ----------------- obs in 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----------------- obs in episode 1, before step: 225: [ 0.99940044 -0.03462328 -0.00424646] ----------------- obs in episode 1, before step: 228: [ 0.99942774 -0.03382595 0.01595592] ----------------- obs in episode 1, before step: 231: [ 0.999416 -0.03417091 -0.00690307] ----------------- obs in episode 1, before step: 234: [ 0.99942595 -0.03387828 0.00585596] ----------------- obs in episode 1, before step: 237: [ 0.99940735 -0.03442314 -0.01090355] ----------------- obs in episode 1, before step: 240: [ 0.9993294 -0.0366171 -0.04390687] ----------------- obs in episode 1, before step: 243: [ 0.9993504 -0.03603815 0.01158664] ----------------- obs in episode 1, before step: 246: [ 0.9993375 -0.03639437 -0.00712906] ----------------- obs in episode 1, before step: 249: [ 0.9993564 -0.03587293 0.01043561] ----------------- obs in episode 1, before step: 252: [ 9.9935734e-01 -3.5845235e-02 5.5414240e-04] ----------------- obs in episode 1, before step: 255: [ 0.9993301 -0.03659745 -0.01505425] ----------------- obs in episode 1, before step: 258: [ 0.99931246 -0.03707642 -0.00958575] ----------------- obs in episode 1, before step: 261: [ 0.9993507 -0.03602976 0.02094704] ----------------- obs in episode 1, before step: 264: [ 0.999347 -0.03613277 -0.00206142] ----------------- obs in episode 1, before step: 267: [ 9.9934745e-01 -3.6120653e-02 2.4241897e-04] ----------------- obs in episode 1, before step: 270: [ 0.9993343 -0.03648331 -0.0072579 ] ----------------- obs in episode 1, before step: 273: [ 0.9993753 -0.03534222 0.02283662] ----------------- obs in episode 1, before step: 276: [ 0.99931264 -0.03707096 -0.03459746] ----------------- obs in episode 1, before step: 279: [ 0.9993582 -0.03582248 0.02498614] ----------------- obs in episode 1, before step: 282: [ 9.9935913e-01 -3.5796218e-02 5.2554120e-04] ----------------- obs in episode 1, before step: 285: [ 0.999326 -0.03670977 -0.01828299] ----------------- obs in episode 1, before step: 288: [ 0.99934477 -0.03619526 0.01029707] ----------------- obs in episode 1, before step: 291: [ 0.9993027 -0.03733897 -0.02288979] ----------------- obs in episode 1, before step: 294: [ 0.99934906 -0.03607588 0.02527884] ----------------- obs in episode 1, before step: 297: [ 0.9993577 -0.03583605 0.00479977] ----------------- obs in episode 1, before step: 300: [ 0.9993261 -0.03670616 -0.01741369] ----------------- obs in episode 1, before step: 303: [ 0.99941784 -0.0341164 0.05182772] ----------------- obs in episode 1, before step: 306: [ 0.9995445 -0.03017991 0.07877045] ----------------- obs in episode 1, before step: 309: [ 0.99964416 -0.02667474 0.07013188] ----------------- obs in episode 1, before step: 312: [ 0.99971163 -0.02401403 0.05323134] ----------------- obs in episode 1, before step: 315: [ 0.9997355 -0.02299927 0.02030087] ----------------- obs in episode 1, before step: 318: [ 0.99973 -0.02323716 -0.0047592 ] ----------------- obs in episode 1, before step: 321: [ 0.9997494 -0.02238445 0.01705871] ----------------- obs in episode 1, before step: 324: [ 0.9998023 -0.01988371 0.05002587] ----------------- obs in episode 1, before step: 327: [ 0.9997982 -0.02009068 -0.00414012] ----------------- obs in episode 1, before step: 330: [ 9.9979752e-01 -2.0121919e-02 -6.2494318e-04] ----------------- obs in episode 1, before step: 333: [ 0.99983495 -0.01816634 0.03911874] ----------------- obs in episode 1, before step: 336: [ 0.99983704 -0.01805157 0.00229578] ----------------- obs in episode 1, before step: 339: [ 0.99983 -0.01843707 -0.00771127] ----------------- obs in episode 1, before step: 342: [ 0.9998346 -0.01818689 0.00500447] ----------------- obs in episode 1, before step: 345: [ 0.9998186 -0.0190457 -0.01717925] ----------------- obs in episode 1, before step: 348: [ 0.9998111 -0.01943527 -0.00779284] ----------------- obs in episode 1, before step: 351: [ 0.9997814 -0.02090691 -0.02943871] ----------------- obs in episode 1, before step: 354: [ 0.999676 -0.02545319 -0.09095026] ----------------- obs in episode 1, before step: 357: [ 0.9996426 -0.02673289 -0.02560253] ----------------- obs in episode 1, before step: 360: [ 0.99954337 -0.03021641 -0.0696988 ] ----------------- obs in episode 1, before step: 363: [ 0.9995274 -0.03073999 -0.01047646] ----------------- obs in episode 1, before step: 366: [ 0.9994911 -0.03189965 -0.02320464] ----------------- obs in episode 1, before step: 369: [ 0.9994564 -0.03296894 -0.02139697] ----------------- obs in episode 1, before step: 372: [ 0.9994443 -0.03333261 -0.00727747] ----------------- obs in episode 1, before step: 375: [ 0.9994293 -0.03378098 -0.00897236] ----------------- obs in episode 1, before step: 378: [ 0.9994204 -0.03404192 -0.00522173] ----------------- obs in episode 1, before step: 381: [ 0.99940777 -0.03441013 -0.00736866] ----------------- obs in episode 1, before step: 384: [ 0.9993471 -0.03613064 -0.03443168] ----------------- obs in episode 1, before step: 387: [ 0.99936163 -0.03572648 0.00808839] ----------------- obs in episode 1, before step: 390: [ 0.999373 -0.03540542 0.00642534] ----------------- obs in episode 1, before step: 393: [ 0.9993776 -0.03527541 0.00260176] ----------------- obs in episode 1, before step: 396: [ 0.99933696 -0.03641012 -0.02270872] ----------------- obs in episode 1, before step: 399: [ 0.9993729 -0.03540927 0.02002988] ----------------- obs in episode 1, before step: 402: [ 0.9993904 -0.03491048 0.00998197] ----------------- obs in episode 1, before step: 405: [ 0.9994137 -0.03423823 0.01345316] ----------------- obs in episode 1, before step: 408: [ 0.9993618 -0.03572004 -0.02965445] ----------------- obs in episode 1, before step: 411: [ 0.99938846 -0.03496764 0.01505741] ----------------- obs in episode 1, before step: 414: [ 0.99939454 -0.03479268 0.00350148] ----------------- obs in episode 1, before step: 417: [ 0.99936515 -0.03562789 -0.01671471] ----------------- obs in episode 1, before step: 420: [ 0.9993752 -0.03534288 0.00570396] ----------------- obs in episode 1, before step: 423: [ 0.99935144 -0.03601012 -0.01335339] ----------------- obs in episode 1, before step: 426: [ 0.9993691 -0.0355172 0.00986462] ----------------- obs in episode 1, before step: 429: [ 0.9993597 -0.03577869 -0.00523304] ----------------- obs in episode 1, before step: 432: [ 0.99939656 -0.03473473 0.02089212] ----------------- obs in episode 1, before step: 435: [ 0.9994115 -0.03430092 0.00868152] ----------------- obs in episode 1, before step: 438: [ 0.99939674 -0.03473032 -0.00859317] ----------------- obs in episode 1, before step: 441: [ 0.99943787 -0.03352544 0.02411164] ----------------- obs in episode 1, before step: 444: [ 0.99939543 -0.03476812 -0.02486812] ----------------- obs in episode 1, before step: 447: [ 0.99941385 -0.03423458 0.01067714] ----------------- obs in episode 1, before step: 450: [ 0.9993743 -0.03537022 -0.0227266 ] ----------------- obs in episode 1, before step: 453: [ 0.99937135 -0.03545292 -0.00165514] ----------------- obs in episode 1, before step: 456: [ 9.993720e-01 -3.543411e-02 3.765774e-04] ----------------- obs in episode 1, before step: 459: [ 0.99941033 -0.03433695 0.02195659] ----------------- obs in episode 1, before step: 462: [ 0.99936897 -0.03551929 -0.02366129] ----------------- obs in episode 1, before step: 465: [ 0.99938923 -0.0349445 0.01150286] ----------------- obs in episode 1, before step: 468: [ 0.99935025 -0.03604339 -0.02199165] ----------------- obs in episode 1, before step: 471: [ 0.99938637 -0.03502619 0.02035692] ----------------- obs in episode 1, before step: 474: [ 0.9994274 -0.03383609 0.02381622] ----------------- obs in episode 1, before step: 477: [ 0.9993973 -0.03471416 -0.01757174] ----------------- obs in episode 1, before step: 480: [ 0.9994349 -0.03361385 0.02201893] ----------------- obs in episode 1, before step: 483: [ 0.99942476 -0.0339143 -0.00601239] ----------------- obs in episode 1, before step: 486: [ 0.9994061 -0.03446017 -0.01092383] ----------------- obs in episode 1, before step: 489: [ 0.9994308 -0.03373667 0.01447848] ----------------- obs in episode 1, before step: 492: [ 9.9943244e-01 -3.3687107e-02 9.9185354e-04] ----------------- obs in episode 1, before step: 495: [ 9.9943310e-01 -3.3667039e-02 4.0157975e-04] ----------------- obs in episode 1, before step: 498: [ 0.99942786 -0.03382315 -0.00312402] ----------------- obs in episode 1, before step: 501: [ 0.9994378 -0.03352635 0.00593937] ----------------- obs in episode 1, before step: 504: [ 0.99939644 -0.03473837 -0.02425446] ----------------- obs in episode 1, before step: 507: [ 0.9994 -0.03463588 0.00205102] ----------------- obs in episode 1, before step: 510: [ 0.999394 -0.03480928 -0.00347008] ----------------- obs in episode 1, before step: 513: [ 0.9993697 -0.03550041 -0.01383114] ----------------- obs in episode 1, before step: 516: [ 0.99937934 -0.03522629 0.00548584] ----------------- obs in episode 1, before step: 519: [ 9.9937761e-01 -3.5276048e-02 -9.9586183e-04] ----------------- obs in episode 1, before step: 522: [ 0.9994035 -0.03453465 0.01483703] ----------------- obs in episode 1, before step: 525: [ 0.99937224 -0.03542776 -0.01787329] ----------------- obs in episode 1, before step: 528: [ 0.99942213 -0.03399175 0.02873755] ----------------- obs in episode 1, before step: 531: [ 0.9994191 -0.03408081 -0.00178227] ----------------- obs in episode 1, before step: 534: [ 0.9993962 -0.03474512 -0.01329402] ----------------- obs in episode 1, before step: 537: [ 0.9994209 -0.03402745 0.01436188] ----------------- obs in episode 1, before step: 540: [ 9.9942189e-01 -3.3998057e-02 5.8826851e-04] ----------------- obs in episode 1, before step: 543: [ 0.99943084 -0.03373356 0.00529304] ----------------- obs in episode 1, before step: 546: [ 0.99942166 -0.03400547 -0.00544143] ----------------- obs in episode 1, before step: 549: [ 0.999447 -0.03325247 0.01506857] ----------------- obs in episode 1, before step: 552: [ 0.9993591 -0.03579811 -0.05094327] ----------------- obs in episode 1, before step: 555: [ 0.9994309 -0.0337322 0.04134332] ----------------- obs in episode 1, before step: 558: [ 0.9995127 -0.03121597 0.05035113] ----------------- obs in episode 1, before step: 561: [ 0.9995954 -0.02844329 0.05547837] ----------------- obs in episode 1, before step: 564: [ 0.9996539 -0.02630834 0.04271497] ----------------- obs in episode 1, before step: 567: [ 0.9997078 -0.02417153 0.04274976] ----------------- obs in episode 1, before step: 570: [ 0.99972343 -0.023518 0.01307428] ----------------- obs in episode 1, before step: 573: [ 0.9997747 -0.0212265 0.04584147] ----------------- obs in episode 1, before step: 576: [ 0.9997888 -0.02055129 0.01350715] ----------------- obs in episode 1, before step: 579: [ 0.9997813 -0.02091272 -0.00723011] ----------------- obs in episode 1, before step: 582: [ 0.9998063 -0.01968348 0.02458986] ----------------- obs in episode 1, before step: 585: [ 0.9998249 -0.01871448 0.01938369] ----------------- obs in episode 1, before step: 588: [ 0.99981475 -0.01924652 -0.01064277] ----------------- obs in episode 1, before step: 591: [ 0.9998192 -0.01901425 0.00464627] ----------------- obs in episode 1, before step: 594: [ 0.99983156 -0.01835273 0.01323261] ----------------- obs in episode 1, before step: 597: [ 0.99984187 -0.01778296 0.01139739] -----------------

45.988792

82

0.563812

5,262

36,929

3.956861

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0

1

0

1

0

null

0

1

0

4

a2adc027328a3d1183e792192b52bda5e899c10c

155

py

Python

mayan/apps/task_manager/literals.py

sophiawa/Mayan-EDMS

42f20576d0c690b645a60bf53c5169cda4264231

[ "Apache-2.0" ]

null

mayan/apps/task_manager/literals.py

sophiawa/Mayan-EDMS

42f20576d0c690b645a60bf53c5169cda4264231

[ "Apache-2.0" ]

10

2021-03-20T00:01:17.000Z

2022-03-12T00:48:43.000Z

mayan/apps/task_manager/literals.py

sophiawa/Mayan-EDMS

42f20576d0c690b645a60bf53c5169cda4264231

[ "Apache-2.0" ]

1

2020-12-17T02:35:09.000Z

DEFAULT_CELERY_BROKER_LOGIN_METHOD = 'AMQPLAIN' DEFAULT_CELERY_BROKER_URL = None DEFAULT_CELERY_BROKER_USE_SSL = None DEFAULT_CELERY_RESULT_BACKEND = None

31

47

0.883871

22

155

5.590909

0.545455

0.422764

0.463415

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0.077419

155

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0.051613

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0

null

1

0

1

0

null

0

4

a2ce4b0decafba3c32402c93f9d041757e1f9ee7

156

py

Python

data.py

mikesmith1611/mydataviswebsite

0020c65adb52d53e8ac0a81cdfdcf4435fefab8e

[ "MIT" ]

null

data.py

mikesmith1611/mydataviswebsite

0020c65adb52d53e8ac0a81cdfdcf4435fefab8e

[ "MIT" ]

null

data.py

mikesmith1611/mydataviswebsite

0020c65adb52d53e8ac0a81cdfdcf4435fefab8e

[ "MIT" ]

null

import pandas as pd import json dfNutririon = pd.read_json('./parsed-data/nutrition.json') ingredients = pd.read_json('./parsed-data/ingredients.json')[0]

26

63

0.762821

23

156

5.086957

0.521739

0.102564

0.17094

0.273504

0.34188

0

0.006993

0.083333

156

5

64

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1

0

1

0

null

0

1

0

4

a2dac3925b3c1b37c4c48d909b86c83e9f577e0f

458

py

Python

backend/services/toxic_comment_jigsaw/application/ai/training/src/preprocess.py

R-aryan/Jigsaw-Toxic-Comment-Classification

e5e4da7df379ac1b315f2bde655386180f39c517

[ "MIT" ]

null

backend/services/toxic_comment_jigsaw/application/ai/training/src/preprocess.py

R-aryan/Jigsaw-Toxic-Comment-Classification

e5e4da7df379ac1b315f2bde655386180f39c517

[ "MIT" ]

1

2021-07-08T14:57:25.000Z

backend/services/toxic_comment_jigsaw/application/ai/training/src/preprocess.py

R-aryan/Jigsaw-Toxic-Comment-Classification

e5e4da7df379ac1b315f2bde655386180f39c517

[ "MIT" ]

null

import re import string class Preprocess: def __init__(self): pass def clean_text(self, text): text = text.lower() text = re.sub('\[.*?\]', '', text) text = re.sub('https?://\S+|www\.\S+', '', text) text = re.sub('<.*?>+', '', text) text = re.sub('[%s]' % re.escape(string.punctuation), '', text) text = re.sub('\n', '', text) text = re.sub('\w*\d\w*', '', text) return text

25.444444

71

0.471616

57

458

3.701754

0.385965

0.265403

0.255924

0.308057

0.208531

0

0.28821

458

17

72

26.941176

0.647239

0

0.104803

0.045852

0

1

0.142857

false

0.071429

0.142857

0

0.428571

0

null

1

0

null

0

1

0

4

a2e3fa131b2865dd3f6e643deff6e3a4ec10050a

360

py

Python

flask_pdv/app.py

evaristofm/api_transacao

3a8d1d1459f5f58c8df7473fe6f7ea1a438738d2

[ "MIT" ]

null

flask_pdv/app.py

evaristofm/api_transacao

3a8d1d1459f5f58c8df7473fe6f7ea1a438738d2

[ "MIT" ]

null

flask_pdv/app.py

evaristofm/api_transacao

3a8d1d1459f5f58c8df7473fe6f7ea1a438738d2

[ "MIT" ]

null

from flask import Flask from flask_pdv.ext import db from flask_pdv.ext import config from flask_pdv.ext import migrate from flask_pdv.ext import api from flask_pdv.ext import cli def create_app(): app = Flask(__name__) config.init_app(app) api.init_app(app) db.init_app(app) migrate.init_app(app) cli.init_app(app) return app

18

33

0.736111

62

360

4.032258

0.258065

0.216

0.24

0.3

0.42

0

0.191667

360

20

34

18

0.859107

0

1

0.071429

false

0

0.428571

0

0.571429

0

null

1

0

null

0

1

0

4

0c20abafa15debab1b5d835f410b001a0fe2e8ef

245

py

Python

Python/Samples/State/Context.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

[ "MIT" ]

null

Python/Samples/State/Context.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

[ "MIT" ]

null

Python/Samples/State/Context.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

[ "MIT" ]

null

import States class Context: def __init__(self): self.currentState = States.StateToDo() def action(self): self.currentState.action(self) def actionBack(self): self.currentState.actionBack(self)

20.416667

46

0.636735

25

245

6.08

0.44

0.157895

0.394737

0

0.269388

245

12

47

20.416667

0.849162

0

1

0.375

false

0

0.125

0

0.625

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0c2a69918361c42f63c775a2aba35cc8b90112cb

89

py

Python

tests/perf/test_long_cycles_nbrows_cycle_length_41000_140.py

shaido987/pyaf

b9afd089557bed6b90b246d3712c481ae26a1957

[ "BSD-3-Clause" ]

377

2016-10-13T20:52:44.000Z

2022-03-29T18:04:14.000Z

tests/perf/test_long_cycles_nbrows_cycle_length_41000_140.py

ysdede/pyaf

b5541b8249d5a1cfdc01f27fdfd99b6580ed680b

[ "BSD-3-Clause" ]

160

2016-10-13T16:11:53.000Z

2022-03-28T04:21:34.000Z

tests/perf/test_long_cycles_nbrows_cycle_length_41000_140.py

ysdede/pyaf

b5541b8249d5a1cfdc01f27fdfd99b6580ed680b

[ "BSD-3-Clause" ]

63

2017-03-09T14:51:18.000Z

2022-03-27T20:52:57.000Z

import tests.perf.test_cycles_full_long_long as gen gen.test_nbrows_cycle(41000 , 140)

17.8

51

0.831461

16

89

4.25

0.8125

0

0.1

0.101124

89

4

52

22.25

0.75

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0c304d0373e18c08f0ba12ba62b31938fd6bd50b

144

py

Python

autoforecast/models/tests/neural_net_test.py

GuillaumeSimo/autoforecast

7205ce5f426b2950f7de2877303fb5999edf63be

[ "MIT" ]

null

autoforecast/models/tests/neural_net_test.py

GuillaumeSimo/autoforecast

7205ce5f426b2950f7de2877303fb5999edf63be

[ "MIT" ]

7

2021-02-06T09:43:47.000Z

2021-07-02T21:20:28.000Z

autoforecast/models/tests/neural_net_test.py

GuillaumeSimo/autoforecast

7205ce5f426b2950f7de2877303fb5999edf63be

[ "MIT" ]

1

2021-06-30T03:50:03.000Z

import unittest from ..neural_net import * # noqa: F401 class NeuralNetTest(unittest.TestCase): def test_neural_net(self): pass

16

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null

0

1

0

null

0

1

0

4

0c350b84606f895fd99eb05c2282360125c1ce83

1,254

py

Python

odata/migrations/0007_auto_20210302_2131.py

Captain777747/agasownServer

70952d083ed81a216cf12708d3403b09b9480e28

[ "MIT" ]

1

2021-03-17T21:38:55.000Z

odata/migrations/0007_auto_20210302_2131.py

Captain777747/agasownServer

70952d083ed81a216cf12708d3403b09b9480e28

[ "MIT" ]

null

odata/migrations/0007_auto_20210302_2131.py

Captain777747/agasownServer

70952d083ed81a216cf12708d3403b09b9480e28

[ "MIT" ]

null

# Generated by Django 3.0.5 on 2021-03-02 21:31 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('odata', '0006_auto_20210302_2127'), ] operations = [ migrations.AlterField( model_name='customer', name='id', field=models.AutoField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='order', name='id', field=models.AutoField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='orderdetail', name='id', field=models.AutoField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='payment', name='id', field=models.AutoField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='product', name='id', field=models.AutoField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='shipper', name='id', field=models.AutoField(primary_key=True, serialize=False), ), ]

28.5

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119

1,254

5.806723

0.361345

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0.217077

0.251809

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0.320574

1,254

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null

0

1

0

1

0

1

0

null

0

4

0c649be2cebc8c7dad3b486c09ab406310482061

93

py

Python

jiraniapp/apps.py

Steve-design/Jirani

e386b1ede05f6c2067af2621c21ce802ec72ae73

[ "MIT" ]

null

jiraniapp/apps.py

Steve-design/Jirani

e386b1ede05f6c2067af2621c21ce802ec72ae73

[ "MIT" ]

8

2020-02-12T03:21:51.000Z

2022-03-12T00:07:01.000Z

jiraniapp/apps.py

Steve-design/Jirani

e386b1ede05f6c2067af2621c21ce802ec72ae73

[ "MIT" ]

null

from django.apps import AppConfig class JiraniappConfig(AppConfig): name = 'jiraniapp'

15.5

33

0.763441

10

93

7.1

0.9

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0.16129

93

5

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18.6

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null

0

1

0

null

0

1

0

1

0

4

a745ff8acebd84c8d356db7823040bbfd4b872f8

6,490

py

Python

neodroidagent/common/architectures/distributional/normal.py

gitter-badger/agent

3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11

[ "Apache-2.0" ]

8

2017-09-13T08:28:44.000Z

2022-01-21T15:59:19.000Z

neodroidagent/common/architectures/distributional/normal.py

gitter-badger/agent

3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11

[ "Apache-2.0" ]

4

2019-03-22T13:49:16.000Z

2019-03-25T13:49:39.000Z

neodroidagent/common/architectures/distributional/normal.py

gitter-badger/agent

3f53eaa7ebdee3ab423c7b58785d584fe1a6ae11

[ "Apache-2.0" ]

3

2017-09-13T08:31:38.000Z

2021-11-09T11:22:27.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import time from typing import List, Sequence import torch from torch import nn from torch.distributions import MultivariateNormal, Normal from draugr.torch_utilities import fan_in_init from neodroidagent.common.architectures.mlp import MLP __author__ = "Christian Heider Nielsen" __doc__ = "" __all__ = [ "ShallowStdNormalMLP", "MultiDimensionalNormalMLP", "MultiVariateNormalMLP", "MultipleNormalMLP", ] from warg import passes_kws_to class ShallowStdNormalMLP(MLP): def __init__( self, output_shape: Sequence = (2,), mean_head_activation: callable = None, fixed_log_std: torch.Tensor = None, **kwargs ): super().__init__( output_shape=output_shape, mean_head_activation=mean_head_activation, **kwargs ) self.mean_head_activation = mean_head_activation if fixed_log_std is None: self.log_std = nn.Parameter( torch.zeros(output_shape[-1]), requires_grad=True ) else: assert fixed_log_std == output_shape[-1] self.log_std = fixed_log_std def forward( self, *x, min_std=-20, max_std=2, **kwargs ) -> torch.distributions.Distribution: mean = super().forward(*x, min_std=min_std, **kwargs) if self.mean_head_activation: mean = self.mean_head_activation(mean) log_std = torch.clamp(self.log_std, min_std, max_std) std = log_std.exp().expand_as(mean) return Normal(mean, std) class ShallowStdMultiVariateNormalMLP(MLP): def __init__( self, output_shape: Sequence = (2,), mean_head_activation: callable = None, fixed_log_std: torch.Tensor = None, **kwargs ): super().__init__( output_shape=output_shape, mean_head_activation=mean_head_activation, **kwargs ) self.mean_head_activation = mean_head_activation if fixed_log_std is None: self.log_std = nn.Parameter(torch.zeros(*output_shape), requires_grad=True) else: assert fixed_log_std.shape == output_shape self.log_std = fixed_log_std def forward(self, *x, min_std=-20, max_std=2, **kwargs): mean = super().forward(*x, min_std=min_std, **kwargs) if self.mean_head_activation: mean = self.mean_head_activation(mean) log_std = torch.clamp(self.log_std, min_std, max_std) std = log_std.exp().expand_as(mean) std = torch.diag_embed(std, 0, dim1=-2, dim2=-1) return MultivariateNormal(mean, std) class MultiDimensionalNormalMLP(MLP): def __init__( self, output_shape: Sequence = (2,), mean_head_activation: callable = None, **kwargs ): output_shape = (*output_shape, *output_shape) assert len(output_shape) == 2 self.mean_head_activation = mean_head_activation super().__init__( output_shape=output_shape, mean_head_activation=mean_head_activation, **kwargs ) def forward(self, *x, min_std=-20, max_std=2, **kwargs) -> Normal: mean, log_std = super().forward(*x, min_std=min_std, **kwargs) if self.mean_head_activation: mean = self.mean_head_activation(mean) return Normal(mean, torch.clamp(log_std, min_std, max_std).exp()) class MultiVariateNormalMLP(MLP): @passes_kws_to(MLP.__init__) def __init__( self, output_shape: Sequence = (2,), mean_head_activation: callable = None, **kwargs ): output_shape = (*output_shape, *output_shape) assert len(output_shape) == 2 self.mean_head_activation = mean_head_activation super().__init__(output_shape=output_shape, **kwargs) @passes_kws_to(MLP.forward) def forward(self, *x, min_std=-20, max_std=2, **kwargs) -> MultivariateNormal: mean, log_std = super().forward(*x, min_std=min_std, **kwargs) if self.mean_head_activation: mean = self.mean_head_activation(mean) log_std = torch.clamp(log_std, min_std, max_std) std = log_std.exp() std = torch.diag_embed(std, 0, dim1=-2, dim2=-1) return MultivariateNormal(mean, std) class MultipleNormalMLP(MLP): def __init__( self, output_shape: int = 2, mean_head_activation: callable = None, **kwargs ): output_shape = (2,) * output_shape super().__init__(output_shape=output_shape, **kwargs) self.mean_head_activation = mean_head_activation fan_in_init(self) def forward(self, *x, min_std=-20, max_std=2, **kwargs) -> List[Normal]: out = super().forward(*x, min_std=min_std, **kwargs) outs = [] for mean, log_std in out: if self.mean_head_activation: mean = self.mean_head_activation(mean) outs.append(Normal(mean, torch.clamp(log_std, min_std, max_std).exp())) return outs if __name__ == "__main__": def stest_normal(): s = (10,) a = 10 model = MultipleNormalMLP(input_shape=s, output_shape=a) inp = torch.rand(s) s_ = time.time() dis = model.forward(inp) print(dis) a_ = [d.sample() for d in dis] print(time.time() - s_, a_) def stest_multi_dim_normal(): s = (4,) a = (10,) model = MultiDimensionalNormalMLP(input_shape=s, output_shape=a) inp = torch.rand(s) s_ = time.time() dis = model.forward(inp) print(dis) a_ = dis.sample() print(time.time() - s_, a_) def stest_multi_var_normal(): s = (10,) a = (10,) model = MultiVariateNormalMLP(input_shape=s, output_shape=a) inp = torch.rand(s) s_ = time.time() dis = model.forward(inp) print(dis) a_ = dis.sample() print(time.time() - s_, a_) def stest_shallow(): s = (10,) a = (10,) model = ShallowStdNormalMLP(input_shape=s, output_shape=a) inp = torch.rand(s) s_ = time.time() dis = model.forward(inp) print(dis) a_ = dis.sample() print(time.time() - s_, a_) stest_normal() print("\n") stest_multi_dim_normal() print("\n") stest_multi_var_normal() print("\n") stest_shallow()

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6,490

4.600251

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0.098883

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0.736312

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0.710161

0.660038

0.646963

0

0.011104

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6,490

220

88

29.5

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false

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0.044944

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0

null

0

1

0

1

0

null

0

4

a74ca3615bfd471ed76db8bdd061f260a4a89353

1,340

py

Python

modle/update_db.py

cqkenuo/NessusToReport

44e0f5b420ec55619e06d942f8dbf78268640de3

[ "Apache-2.0" ]

1

2021-07-15T09:42:33.000Z

modle/update_db.py

cqkenuo/NessusToReport

44e0f5b420ec55619e06d942f8dbf78268640de3

[ "Apache-2.0" ]

null

modle/update_db.py

cqkenuo/NessusToReport

44e0f5b420ec55619e06d942f8dbf78268640de3

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding:utf-8 -*- # ------------------------------------------------------------ # File: update_db.py.py # Created Date: 2020/6/27 # Created Time: 1:30 # Author: Hypdncy # Author Mail: hypdncy@outlook.com # Copyright (c) 2020 Hypdncy # ------------------------------------------------------------ # .::::. # .::::::::. # ::::::::::: # ..:::::::::::' # '::::::::::::' # .:::::::::: # '::::::::::::::.. # ..::::::::::::. # ``:::::::::::::::: # ::::``:::::::::' .:::. # ::::' ':::::' .::::::::. # .::::' :::: .:::::::'::::. # .:::' ::::: .:::::::::' ':::::. # .::' :::::.:::::::::' ':::::. # .::' ::::::::::::::' ``::::. # ...::: ::::::::::::' ``::. # ````':. ':::::::::' ::::.. # '.:::::' ':'````.. # ------------------------------------------------------------ class UpdateDb(object): """ 更新数据库 """ def __init__(self): """ 初始化 """ def update(self): """ 更新数据库 :return: """

30.454545

62

0.150746

45

1,340

4.377778

0.777778

0

0.020126

0.406716

1,340

44

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false

0

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null

0

1

0

null

0

1

0

1

0

4

a76a4fe2fe79573e658f2edfd9130a950b5ed048

196

py

Python

SchoolApp/apps/timetable/forms.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

4

2021-06-25T04:17:08.000Z

2022-02-13T14:48:38.000Z

SchoolApp/apps/timetable/forms.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

20

2021-07-05T08:59:41.000Z

2022-02-07T02:06:33.000Z

SchoolApp/apps/timetable/forms.py

Ceres445/Team-10-Python-Project

8a97642f019548d137dff564f9fdcc8f92761cc8

[ "MIT" ]

1

2021-07-22T07:38:00.000Z

from django.forms import ModelForm from apps.timetable.models import ClassTime class ClassTimeCreationForm(ModelForm): class Meta: model = ClassTime exclude = ['permanent']

19.6

43

0.72449

20

196

7.1

0.75

0

0.209184

196

9

44

21.777778

0.916129

0

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0

1

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false

0

0.333333

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0.666667

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null

0

1

0

null

0

1

0

1

0

4

a779afa9245506776b36ea5343b982e186526a26

4,913

py

Python

wanplusapi/call_api.py

ProHiryu/api-wanplus-crawler

4df8b37b70c19933357179b3cce192534f7b0ea0

[ "MIT" ]

9

2017-03-28T11:44:52.000Z

2021-02-18T14:50:57.000Z

wanplusapi/call_api.py

ProHiryu/api-wanplus-crawler

4df8b37b70c19933357179b3cce192534f7b0ea0

[ "MIT" ]

null

wanplusapi/call_api.py

ProHiryu/api-wanplus-crawler

4df8b37b70c19933357179b3cce192534f7b0ea0

[ "MIT" ]

1

2018-03-20T13:39:32.000Z

#-*- encoding: UTF-8 -*- import requests from pprint import pprint import json def send_post(eid=348, search_type="team"): url = "http://www.wanplus.com/ajax/stats/list" payload = "_gtk=&draw=1&columns%5B6%5D%5Bname%5D=&columns%5B6%5D%5Bsearchable%5D=true&columns%5B6%5D%5Borderable%5D=true&columns%5B6%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B6%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B7%5D%5Bdata%5D=avgDuration&columns%5B7%5D%5Bname%5D=&columns%5B7%5D%5Bsearchable%5D=true&columns%5B7%5D%5Borderable%5D=true&columns%5B7%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B7%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B8%5D%5Bdata%5D=goldpermatch&columns%5B8%5D%5Bname%5D=&columns%5B8%5D%5Bsearchable%5D=true&columns%5B8%5D%5Borderable%5D=true&columns%5B8%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B8%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B9%5D%5Bdata%5D=goldsPermin&columns%5B9%5D%5Bname%5D=&columns%5B9%5D%5Bsearchable%5D=true&columns%5B9%5D%5Borderable%5D=true&columns%5B9%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B9%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B10%5D%5Bdata%5D=lasthitPermin&columns%5B10%5D%5Bname%5D=&columns%5B10%5D%5Bsearchable%5D=true&columns%5B10%5D%5Borderable%5D=true&columns%5B10%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B10%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B11%5D%5Bdata%5D=dragonkillsPergame&columns%5B11%5D%5Bname%5D=&columns%5B11%5D%5Bsearchable%5D=true&columns%5B11%5D%5Borderable%5D=true&columns%5B11%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B11%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B12%5D%5Bdata%5D=dragonkillspercentage&columns%5B12%5D%5Bname%5D=&columns%5B12%5D%5Bsearchable%5D=true&columns%5B12%5D%5Borderable%5D=true&columns%5B12%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B12%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B13%5D%5Bdata%5D=baronkillsPergame&columns%5B13%5D%5Bname%5D=&columns%5B13%5D%5Bsearchable%5D=true&columns%5B13%5D%5Borderable%5D=true&columns%5B13%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B13%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B14%5D%5Bdata%5D=baronkillspercentage&columns%5B14%5D%5Bname%5D=&columns%5B14%5D%5Bsearchable%5D=true&columns%5B14%5D%5Borderable%5D=true&columns%5B14%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B14%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B15%5D%5Bdata%5D=wardsplacedpermin&columns%5B15%5D%5Bname%5D=&columns%5B15%5D%5Bsearchable%5D=true&columns%5B15%5D%5Borderable%5D=true&columns%5B15%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B15%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B16%5D%5Bdata%5D=wardskilledpermin&columns%5B16%5D%5Bname%5D=&columns%5B16%5D%5Bsearchable%5D=true&columns%5B16%5D%5Borderable%5D=true&columns%5B16%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B16%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B17%5D%5Bdata%5D=wardskilledrate&columns%5B17%5D%5Bname%5D=&columns%5B17%5D%5Bsearchable%5D=true&columns%5B17%5D%5Borderable%5D=true&columns%5B17%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B17%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B18%5D%5Bdata%5D=towertakensPergame&columns%5B18%5D%5Bname%5D=&columns%5B18%5D%5Bsearchable%5D=true&columns%5B18%5D%5Borderable%5D=true&columns%5B18%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B18%5D%5Bsearch%5D%5Bregex%5D=false&columns%5B19%5D%5Bdata%5D=towerdeathsPergame&columns%5B19%5D%5Bname%5D=&columns%5B19%5D%5Bsearchable%5D=true&columns%5B19%5D%5Borderable%5D=true&columns%5B19%5D%5Bsearch%5D%5Bvalue%5D=&columns%5B19%5D%5Bsearch%5D%5Bregex%5D=false&order%5B0%5D%5Bcolumn%5D=2&order%5B0%5D%5Bdir%5D=desc&start=0&length=2000&search%5Bvalue%5D=&search%5Bregex%5D=false&area=1&type=" + \ search_type + \ "&gametype=2&filter=%7B%22team%22%3A%7B%7D%2C%22player%22%3A%7B%7D%2C%22meta%22%3A%7B%7D%7D&eid=" + \ str(eid) headers = { 'accept': "application/json, text/javascript, */*; q=0.01", 'accept-encoding': "gzip, deflate", 'accept-language': "zh-CN,zh;q=0.8,en;q=0.6", 'connection': "keep-alive", 'content-length': "4708", 'content-type': "application/x-www-form-urlencoded", 'cookie': "isShown=1; Hm_lvt_f69cb5ec253c6012b2aa449fb925c1c2=1488528574,1488621073,1490580027; Hm_lpvt_f69cb5ec253c6012b2aa449fb925c1c2=1490600776; wanplus_token=f55762936952a11e6e1b6809edaf60d7; wanplus_storage=lf4m67eka3o; wanplus_sid=b60787ee359800a68f1836298203718b; wanplus_csrf=_csrf_tk_787702669; gameType=2", 'host': "www.wanplus.com", 'origin': "http://www.wanplus.com", 'referer': "http://www.wanplus.com/lol/teamstats", 'user-agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.110 Safari/537.36", 'x-requested-with': "XMLHttpRequest", 'cache-control': "no-cache", 'postman-token': "5bd2cc96-2acd-380d-f166-a7680ac69ffd" } response = requests.request("POST", url, data=payload, headers=headers) if response.status_code == 200: data = json.loads(response.text) else: print(response.status_code) return data

122.825

3,288

0.767963

761

4,913

4.932983

0.235217

0.067128

0.096963

0.063399

0.470165

0.225626

0.114278

0

0.169264

0.059638

4,913

39

3,289

125.974359

0.64329

0.004681

0

0.129032

0.867458

0.763346

0

1

0.032258

false

0

0.096774

0

0.16129

0.064516

0

null

0

1

0

1

null

0

4

a78ba677da513a09bcb2aea88328b5836b4a22dd

44

py

Python

foiamachine/local/lib/python2.7/encodings/iso2022_jp_2.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

3

2021-08-07T04:01:55.000Z

2021-08-07T05:12:11.000Z

foiamachine/local/lib/python2.7/encodings/iso2022_jp_2.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

null

foiamachine/local/lib/python2.7/encodings/iso2022_jp_2.py

dwillis/foiamachine

26d3b02870227696cdaab639c39d47b2a7a42ae5

[ "Unlicense", "MIT" ]

1

2021-08-05T22:51:14.000Z

/usr/lib/python2.7/encodings/iso2022_jp_2.py

44

0.840909

9

44

3.888889

1

0

0.159091

0

44

1

44

0.636364

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

a78fe11fae44de7fb958b25126866e48c27ca33a

19,548

py

Python

src/grassfire/test/attic/test.py

bmmeijers/grassfire

20995d97ca41763d40b23f0fadb6e0581dff859b

[ "MIT" ]

1

2021-07-09T14:53:34.000Z

src/grassfire/test/attic/test.py

bmmeijers/grassfire

20995d97ca41763d40b23f0fadb6e0581dff859b

[ "MIT" ]

null

src/grassfire/test/attic/test.py

bmmeijers/grassfire

20995d97ca41763d40b23f0fadb6e0581dff859b

[ "MIT" ]

null

from grassfire.primitives import KineticTriangle, KineticVertex, Event, Skeleton from grassfire.events import handle_split_event triangles = {} ### 140003451728400 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.0, 0.0) v.velocity = (0.8611874208078342, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (4.0, 0.0) v.velocity = (-0.9049875621120889, -0.9999999999999999) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) k.vertices = V triangles[ 140003451728400 ] = k ### 140003451728464 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.0, 0.0) v.velocity = (-0.8611874208078343, 1.0) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) v = KineticVertex() v.origin = (4.0, 0.0) v.velocity = (0.9049875621120889, 0.9999999999999999) V.append(v) k.vertices = V triangles[ 140003451728464 ] = k ### 140003451728528 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.3, 2.0) v.velocity = (-0.3899868930592274, 4.141336851657371) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) v = KineticVertex() v.origin = (6.0, 0.0) v.velocity = (-0.8611874208078343, 1.0) V.append(v) k.vertices = V triangles[ 140003451728528 ] = k ### 140003451728592 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.3, 2.0) v.velocity = (-0.3899868930592274, 4.141336851657371) V.append(v) v = KineticVertex() v.origin = (7.874999999999999, -2.4999999999999925) v.velocity = (-6.256419934967577, 20.90257411425264) V.append(v) v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (-0.7807764064044151, -1.0) V.append(v) k.vertices = V triangles[ 140003451728592 ] = k ### 140003451728656 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (-0.7807764064044151, -1.0) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) v = KineticVertex() v.origin = (6.3, 2.0) v.velocity = (-0.3899868930592274, 4.141336851657371) V.append(v) k.vertices = V triangles[ 140003451728656 ] = k ### 140003451728720 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (-0.0, -4.123105625617657) V.append(v) v = KineticVertex() v.origin = (0.0, 0.0) v.velocity = (0.4142135623730952, 1.0) V.append(v) v = KineticVertex() v.origin = (3.0, 0.0) v.velocity = (-0.6770329614269007, 1.0) V.append(v) k.vertices = V triangles[ 140003451728720 ] = k ### 140003451728784 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (3.0, 0.0) v.velocity = (-0.6770329614269007, 1.0) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (-0.0, -4.123105625617657) V.append(v) k.vertices = V triangles[ 140003451728784 ] = k ### 140003451728848 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (3.0, 0.0) v.velocity = (0.6770329614269006, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (4.0, 0.0) v.velocity = (-0.9049875621120889, -0.9999999999999999) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (-0.5885834574042905, -4.164041047077979) V.append(v) k.vertices = V triangles[ 140003451728848 ] = k ### 140003451728912 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (4.0, 0.0) v.velocity = (-0.9049875621120889, -0.9999999999999999) V.append(v) v = KineticVertex() v.origin = (3.0, 0.0) v.velocity = (0.6770329614269006, -0.9999999999999998) V.append(v) k.vertices = V triangles[ 140003451728912 ] = k ### 140003451728976 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (3.0, 0.0) v.velocity = (0.6770329614269006, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (0.0, 0.0) v.velocity = (-0.4142135623730952, -1.0) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) k.vertices = V triangles[ 140003451728976 ] = k ### 140003451729040 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (-2.0, 2.0) v.velocity = (-1.286795680042036, -0.12741788233105927) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (0.0, 0.0) v.velocity = (-0.4142135623730952, -1.0) V.append(v) k.vertices = V triangles[ 140003451729040 ] = k ### 140003451729168 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (-2.0, 2.0) v.velocity = (-1.286795680042036, -0.12741788233105927) V.append(v) v = KineticVertex() v.origin = (0.0, 5.0) v.velocity = (-0.5351837584879964, 1.0) V.append(v) k.vertices = V triangles[ 140003451729168 ] = k ### 140003451729232 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (0.0, 5.0) v.velocity = (-0.5351837584879964, 1.0) V.append(v) v = KineticVertex() v.origin = (3.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) k.vertices = V triangles[ 140003451729232 ] = k ### 140003451729296 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (3.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (4.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) k.vertices = V triangles[ 140003451729296 ] = k ### 140003451729360 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (4.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) k.vertices = V triangles[ 140003451729360 ] = k ### 140003451729424 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (7.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) k.vertices = V triangles[ 140003451729424 ] = k ### 140003451729488 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (7.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (10.0, 5.0) v.velocity = (0.1622776601683794, 1.0) V.append(v) k.vertices = V triangles[ 140003451729488 ] = k ### 140003451729552 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (13.0, 4.0) v.velocity = (1.6324555320336755, 0.5099407093782344) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (10.0, 5.0) v.velocity = (0.1622776601683794, 1.0) V.append(v) k.vertices = V triangles[ 140003451729552 ] = k ### 140003451729680 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (10.0, 0.0) v.velocity = (0.5000000000000001, -1.0000000000000002) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (13.0, 4.0) v.velocity = (1.6324555320336755, 0.5099407093782344) V.append(v) k.vertices = V triangles[ 140003451729680 ] = k ### 140003451729744 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (7.0, 0.0) v.velocity = (-0.7094810050208543, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (10.0, 0.0) v.velocity = (0.5000000000000001, -1.0000000000000002) V.append(v) k.vertices = V triangles[ 140003451729744 ] = k ### 140003451729808 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.0, 0.0) v.velocity = (0.8611874208078342, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (5.061111111111111, 2.5555555555555554) v.velocity = (0, 0) V.append(v) v = KineticVertex() v.origin = (7.0, 0.0) v.velocity = (-0.7094810050208543, -0.9999999999999998) V.append(v) k.vertices = V triangles[ 140003451729808 ] = k ### 140003451729872 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.3, 2.0) v.velocity = (0.38998689305922796, -4.141336851657377) V.append(v) v = KineticVertex() v.origin = (6.0, 0.0) v.velocity = (0.8611874208078342, -0.9999999999999998) V.append(v) v = KineticVertex() v.origin = (7.0, 0.0) v.velocity = (-0.7094810050208543, -0.9999999999999998) V.append(v) k.vertices = V triangles[ 140003451729872 ] = k ### 140003451729936 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (7.0, 0.0) v.velocity = (0.7094810050208544, 0.9999999999999999) V.append(v) v = KineticVertex() v.origin = (10.0, 0.0) v.velocity = (-0.5000000000000001, 1.0000000000000002) V.append(v) v = KineticVertex() v.origin = (6.270833333333333, 2.083333333333333) v.velocity = (1.0427366558279314, 0.04784099769406555) V.append(v) k.vertices = V triangles[ 140003451729936 ] = k ### 140003451730064 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.270833333333333, 2.083333333333333) v.velocity = (1.0427366558279314, 0.04784099769406555) V.append(v) v = KineticVertex() v.origin = (10.0, 0.0) v.velocity = (-0.5000000000000001, 1.0000000000000002) V.append(v) v = KineticVertex() v.origin = (10.0, 5.0) v.velocity = (-0.1622776601683794, -1.0) V.append(v) k.vertices = V triangles[ 140003451730064 ] = k ### 140003451730128 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (6.270833333333333, 2.083333333333333) v.velocity = (1.0427366558279314, 0.04784099769406555) V.append(v) v = KineticVertex() v.origin = (10.0, 5.0) v.velocity = (-0.1622776601683794, -1.0) V.append(v) v = KineticVertex() v.origin = (7.0, 5.0) v.velocity = (0.7807764064044151, -1.0) V.append(v) k.vertices = V triangles[ 140003451730128 ] = k ### 140003451730192 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (7.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (6.5, 3.0) v.velocity = (0.0, 4.1231056256176615) V.append(v) k.vertices = V triangles[ 140003451730192 ] = k ### 140003451730256 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) v = KineticVertex() v.origin = (6.0, 5.0) v.velocity = (-0.7807764064044151, -1.0) V.append(v) v = KineticVertex() v.origin = (4.0, 5.0) v.velocity = (0.7807764064044151, -1.0) V.append(v) k.vertices = V triangles[ 140003451730256 ] = k ### 140003451730320 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (4.0, 5.0) v.velocity = (0.7807764064044151, -1.0) V.append(v) v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (-0.0, -4.123105625617657) V.append(v) v = KineticVertex() v.origin = (3.8, 2.0) v.velocity = (0.5885834574042905, 4.164041047077979) V.append(v) k.vertices = V triangles[ 140003451730320 ] = k ### 140003451730384 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (4.0, 5.0) v.velocity = (-0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (3.0, 5.0) v.velocity = (0.7807764064044151, 1.0) V.append(v) v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (0.0, 4.1231056256176615) V.append(v) k.vertices = V triangles[ 140003451730384 ] = k ### 140003451730448 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (0.0, 5.0) v.velocity = (0.5351837584879964, -1.0) V.append(v) v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (-0.0, -4.123105625617657) V.append(v) v = KineticVertex() v.origin = (3.0, 5.0) v.velocity = (-0.7807764064044151, -1.0) V.append(v) k.vertices = V triangles[ 140003451730448 ] = k ### 140003451730512 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (0.0, 0.0) v.velocity = (0.4142135623730952, 1.0) V.append(v) v = KineticVertex() v.origin = (3.5, 3.0) v.velocity = (-0.0, -4.123105625617657) V.append(v) v = KineticVertex() v.origin = (0.0, 5.0) v.velocity = (0.5351837584879964, -1.0) V.append(v) k.vertices = V triangles[ 140003451730512 ] = k ### 140003451730576 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (0.0, 0.0) v.velocity = (0.4142135623730952, 1.0) V.append(v) v = KineticVertex() v.origin = (0.0, 5.0) v.velocity = (0.5351837584879964, -1.0) V.append(v) v = KineticVertex() v.origin = (-2.0, 2.0) v.velocity = (1.286795680042036, 0.12741788233105927) V.append(v) k.vertices = V triangles[ 140003451730576 ] = k ### 140003451730640 k = KineticTriangle() V = [] v = KineticVertex() v.origin = (10.0, 5.0) v.velocity = (-0.1622776601683794, -1.0) V.append(v) v = KineticVertex() v.origin = (10.0, 0.0) v.velocity = (-0.5000000000000001, 1.0000000000000002) V.append(v) v = KineticVertex() v.origin = (13.0, 4.0) v.velocity = (-1.6324555320336758, -0.5099407093782345) V.append(v) k.vertices = V triangles[ 140003451730640 ] = k ### neighbour relationships n = [ triangles[140003451728912], triangles[140003451729808], None ] triangles[ 140003451728400 ].neighbours = n triangles[ 140003451728400 ].neighbours = n n = [ None, None, triangles[140003451728528] ] triangles[ 140003451728464 ].neighbours = n triangles[ 140003451728464 ].neighbours = n n = [ triangles[140003451728464], None, triangles[140003451728656] ] triangles[ 140003451728528 ].neighbours = n triangles[ 140003451728528 ].neighbours = n n = [ None, triangles[140003451728656], None ] triangles[ 140003451728592 ].neighbours = n triangles[ 140003451728592 ].neighbours = n n = [ triangles[140003451728528], triangles[140003451728592], triangles[140003451730256] ] triangles[ 140003451728656 ].neighbours = n triangles[ 140003451728656 ].neighbours = n n = [ None, triangles[140003451728784], triangles[140003451730512] ] triangles[ 140003451728720 ].neighbours = n triangles[ 140003451728720 ].neighbours = n n = [ triangles[140003451730320], triangles[140003451728720], None ] triangles[ 140003451728784 ].neighbours = n triangles[ 140003451728784 ].neighbours = n n = [ None, None, triangles[140003451728912] ] triangles[ 140003451728848 ].neighbours = n triangles[ 140003451728848 ].neighbours = n n = [ triangles[140003451728848], triangles[140003451728976], triangles[140003451728400] ] triangles[ 140003451728912 ].neighbours = n triangles[ 140003451728912 ].neighbours = n n = [ triangles[140003451729040], triangles[140003451728912], None ] triangles[ 140003451728976 ].neighbours = n triangles[ 140003451728976 ].neighbours = n n = [ triangles[140003451728976], None, triangles[140003451729168] ] triangles[ 140003451729040 ].neighbours = n triangles[ 140003451729040 ].neighbours = n n = [ None, triangles[140003451729232], triangles[140003451729040] ] triangles[ 140003451729168 ].neighbours = n triangles[ 140003451729168 ].neighbours = n n = [ None, triangles[140003451729296], triangles[140003451729168] ] triangles[ 140003451729232 ].neighbours = n triangles[ 140003451729232 ].neighbours = n n = [ triangles[140003451730384], triangles[140003451729360], triangles[140003451729232] ] triangles[ 140003451729296 ].neighbours = n triangles[ 140003451729296 ].neighbours = n n = [ None, triangles[140003451729424], triangles[140003451729296] ] triangles[ 140003451729360 ].neighbours = n triangles[ 140003451729360 ].neighbours = n n = [ triangles[140003451730192], triangles[140003451729488], triangles[140003451729360] ] triangles[ 140003451729424 ].neighbours = n triangles[ 140003451729424 ].neighbours = n n = [ None, triangles[140003451729552], triangles[140003451729424] ] triangles[ 140003451729488 ].neighbours = n triangles[ 140003451729488 ].neighbours = n n = [ triangles[140003451729488], None, triangles[140003451729680] ] triangles[ 140003451729552 ].neighbours = n triangles[ 140003451729552 ].neighbours = n n = [ triangles[140003451729552], None, triangles[140003451729744] ] triangles[ 140003451729680 ].neighbours = n triangles[ 140003451729680 ].neighbours = n n = [ triangles[140003451729680], None, triangles[140003451729808] ] triangles[ 140003451729744 ].neighbours = n triangles[ 140003451729744 ].neighbours = n n = [ triangles[140003451729744], triangles[140003451729872], triangles[140003451728400] ] triangles[ 140003451729808 ].neighbours = n triangles[ 140003451729808 ].neighbours = n n = [ triangles[140003451729808], None, None ] triangles[ 140003451729872 ].neighbours = n triangles[ 140003451729872 ].neighbours = n n = [ triangles[140003451730064], None, None ] triangles[ 140003451729936 ].neighbours = n triangles[ 140003451729936 ].neighbours = n n = [ triangles[140003451730640], triangles[140003451730128], triangles[140003451729936] ] triangles[ 140003451730064 ].neighbours = n triangles[ 140003451730064 ].neighbours = n n = [ None, None, triangles[140003451730064] ] triangles[ 140003451730128 ].neighbours = n triangles[ 140003451730128 ].neighbours = n n = [ None, None, triangles[140003451729424] ] triangles[ 140003451730192 ].neighbours = n triangles[ 140003451730192 ].neighbours = n n = [ None, triangles[140003451730320], triangles[140003451728656] ] triangles[ 140003451730256 ].neighbours = n triangles[ 140003451730256 ].neighbours = n n = [ triangles[140003451728784], triangles[140003451730256], None ] triangles[ 140003451730320 ].neighbours = n triangles[ 140003451730320 ].neighbours = n n = [ None, None, triangles[140003451729296] ] triangles[ 140003451730384 ].neighbours = n triangles[ 140003451730384 ].neighbours = n n = [ None, None, triangles[140003451730512] ] triangles[ 140003451730448 ].neighbours = n triangles[ 140003451730448 ].neighbours = n n = [ triangles[140003451730448], triangles[140003451730576], triangles[140003451728720] ] triangles[ 140003451730512 ].neighbours = n triangles[ 140003451730512 ].neighbours = n n = [ None, None, triangles[140003451730512] ] triangles[ 140003451730576 ].neighbours = n triangles[ 140003451730576 ].neighbours = n n = [ None, None, triangles[140003451730064] ] triangles[ 140003451730640 ].neighbours = n triangles[ 140003451730640 ].neighbours = n time = 0.2567605783167400401723057 interior = {} for tid in triangles: tri = triangles[tid] skip = False for v in tri.vertices: if v.origin == (5.061111111111111, 2.5555555555555554): skip = True if skip: continue interior[tid] = tri #0.1175049556691678126485456 print tri.str_at(time) print interior with open("/tmp/debug.wkt", "w") as fh: fh.write("id;wkt\n") for tid, tri in interior.iteritems(): fh.write("{};{}\n".format(tid, tri.str_at(time))) candidate_id = 140003451728784 evt = Event(when=time, tri=interior[140003451728784], side=2, tp="split") skel = Skeleton() skel.triangles = interior.values() class QueueMock(object): """Mock for the priority queue """ def add(self, one): pass def remove(self, one): pass def discard(self, one): pass queue = QueueMock() handle_split_event(evt, skel, queue)

27.610169

90

0.708205

2,582

19,548

5.359024

0.060418

0.019224

0.107321

0.114476

0.613934

0.601286

0.590012

0.576136

0.55843

0.545928

0

0.363044

0.12876

19,548

708

91

27.610169

0.449416

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a7a9a9e80a85407042fd0315f16fa70d303f55c8

271

py

Python

skal_website_1/products/urls.py

mthd98/web_app_test_1

787411eebce239993774441449daa82159e1481e

[ "MIT" ]

null

skal_website_1/products/urls.py

mthd98/web_app_test_1

787411eebce239993774441449daa82159e1481e

[ "MIT" ]

null

skal_website_1/products/urls.py

mthd98/web_app_test_1

787411eebce239993774441449daa82159e1481e

[ "MIT" ]

null

from django.urls import path from .views import show_products_page,show_product_detail_page urlpatterns = [ path('products/', show_products_page,name='products-page'), path('products/<int:id>', show_product_detail_page,name='product-detail-page'), ]

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a7b2a7db9800aede8f0f84d99552243abd40d62c

97

py

Python

supplements/apps.py

jeffshek/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

98

2017-07-29T14:26:36.000Z

2022-02-28T04:10:15.000Z

supplements/apps.py

jeffshek/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

1,483

2017-05-30T00:05:56.000Z

2022-03-31T12:37:06.000Z

supplements/apps.py

lawrendran/betterself

51468253fc31373eb96e0e82189b9413f3d76ff5

[ "MIT" ]

13

2017-11-08T00:02:35.000Z

2022-02-28T04:10:32.000Z

from django.apps import AppConfig class SupplementsConfig(AppConfig): name = 'supplements'

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0

1

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a7bc2999e95f0edf54597770cf25422747ef8ca2

209

py

Python

aio_syringe/main.py

sihrc/aio-syringe

e99052bed9e08908f26fc77ab5b238bda5ef704d

[ "MIT" ]

null

aio_syringe/main.py

sihrc/aio-syringe

e99052bed9e08908f26fc77ab5b238bda5ef704d

[ "MIT" ]

null

aio_syringe/main.py

sihrc/aio-syringe

e99052bed9e08908f26fc77ab5b238bda5ef704d

[ "MIT" ]

null

""" Main entrypoint --------------- Just-in-time injections awaitable from asyncio coroutines Author: Chris Lee Email: chrisklee93@gmail.com """ def main(): pass if __name__ == "__main__": main()

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a7c735797c9758d0f7e0fb2cafab899037aa8136

44

py

Python

madyel/__init__.py

madyel/rtsp_curl

ce0b2d8c7469ba660734d42d1c23550f0e3a5355

[ "MIT" ]

6

2019-09-24T06:23:47.000Z

2021-05-30T14:25:55.000Z

madyel/__init__.py

madyel/rtsp_curl

ce0b2d8c7469ba660734d42d1c23550f0e3a5355

[ "MIT" ]

1

2020-07-01T02:53:50.000Z

madyel/__init__.py

madyel/rtsp_curl

ce0b2d8c7469ba660734d42d1c23550f0e3a5355

[ "MIT" ]

null

from .rtsp_curl import * __version__ = '0.8'

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24

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1

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a7cd147acd33574f713772ea634a45612bc6c1a2

275

py

Python

Chapter 02/Chap02_Example2.18.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 02/Chap02_Example2.18.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 02/Chap02_Example2.18.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

s1 = "HELLO BEGINNERS" print(s1.casefold()) # -- CF1 s2 = "Hello Beginners" print(s2.casefold()) # -- CF2 if s1.casefold() == s2.casefold(): # -- CF3 print("Both the strings are same after conversion") else: print("Both the strings are different after conversion ")

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ac0f24e9eed1bad58e384a2639eb2b0e20d1633d

230

py

Python

assets/notebooks/themes/jupyter-notebook-one-dark-theme/startup.py

StevenJokess/learning-quantum-computing-course

f2fcb3892345c09db00ce11cac18fb96d7c244db

[ "MIT" ]

4

2020-08-20T12:49:54.000Z

2021-08-17T02:41:13.000Z

assets/notebooks/themes/jupyter-notebook-one-dark-theme/startup.py

5l1v3r1/learning-quantum-computing-course

f2fcb3892345c09db00ce11cac18fb96d7c244db

[ "MIT" ]

null

assets/notebooks/themes/jupyter-notebook-one-dark-theme/startup.py

5l1v3r1/learning-quantum-computing-course

f2fcb3892345c09db00ce11cac18fb96d7c244db

[ "MIT" ]

4

2021-01-26T10:52:19.000Z

2022-03-24T15:25:03.000Z

32.857143

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ac117e052c63530291f0ab00934b6386d82d59d7

596

py

Python

simpleml/models/classifiers/sklearn/dummy.py

ptoman/SimpleML

a829ee05da01a75b64982d91a012e9274b6f7c6e

[ "BSD-3-Clause" ]

15

2018-08-19T19:36:23.000Z

2021-11-09T17:47:18.000Z

simpleml/models/classifiers/sklearn/dummy.py

ptoman/SimpleML

a829ee05da01a75b64982d91a012e9274b6f7c6e

[ "BSD-3-Clause" ]

75

2020-10-11T17:58:59.000Z

2022-03-29T22:34:54.000Z

simpleml/models/classifiers/sklearn/dummy.py

ptoman/SimpleML

a829ee05da01a75b64982d91a012e9274b6f7c6e

[ "BSD-3-Clause" ]

4

2018-04-30T23:09:42.000Z

2022-01-19T08:03:18.000Z

''' Wrapper module around `sklearn.dummy` ''' __author__ = 'Elisha Yadgaran' from .base_sklearn_classifier import SklearnClassifier from simpleml.models.classifiers.external_models import ClassificationExternalModelMixin from sklearn.dummy import DummyClassifier ''' Dummy classifier ''' class WrappedSklearnDummyClassifier(DummyClassifier, ClassificationExternalModelMixin): # Dummy model doesnt have any feature metadata pass class SklearnDummyClassifier(SklearnClassifier): def _create_external_model(self, **kwargs): return WrappedSklearnDummyClassifier(**kwargs)

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ac28fb5e7fe8eee8494e0143e9c31527e151ee31

1,638

gyp

Python

binding.gyp

thlorenz/procps

b713185dc7b4c82d8cbc9f4be7e345f09df365bb

[ "MIT" ]

5

2016-02-14T11:03:22.000Z

2019-11-27T12:29:36.000Z

binding.gyp

thlorenz/procps

b713185dc7b4c82d8cbc9f4be7e345f09df365bb

[ "MIT" ]

null

binding.gyp

thlorenz/procps

b713185dc7b4c82d8cbc9f4be7e345f09df365bb

[ "MIT" ]

9

2017-08-31T11:03:02.000Z

2021-11-21T14:09:19.000Z

{ 'targets': [ { 'conditions': [ [ 'OS != "linux"', { 'target_name': 'procps_only_supported_on_linux', } ], [ 'OS == "linux"', { 'target_name': 'procps', 'sources': [ 'src/procps.cc' , 'src/proc.cc' , 'src/diskstat.cc' , 'src/partitionstat.cc' , 'src/slabcache.cc' , 'deps/procps/proc/alloc.c' , 'deps/procps/proc/devname.c' , 'deps/procps/proc/escape.c' , 'deps/procps/proc/ksym.c' , 'deps/procps/proc/pwcache.c' , 'deps/procps/proc/readproc.c' , 'deps/procps/proc/sig.c' , 'deps/procps/proc/slab.c' , 'deps/procps/proc/sysinfo.c' , 'deps/procps/proc/version.c' , 'deps/procps/proc/whattime.c' ], 'include_dirs': [ './deps/procps/include/' , './deps/procps/' , '<!(node -e "require(\'nan\')")' ], # VERSION numbers are picked up by procps (see procps/proc/version.c) # TODO: Why does the C++ compiler pick up the C flags and complain about them ??? 'cflags': [ '-DPACKAGE_NAME=\"procps\"' , '-DPACKAGE_VERSION=\"3.3.9\"' , '-DBUILD_WITH_WHINE=1' ], 'cflags!' : [ '-fno-exceptions', '-fno-tree-vrp', '-fno-tree-sink' ], 'cflags_c' : [ '--std=gnu99', '-Wno-string-plus-int', '-Wno-sign-compare' ], 'cflags_cc' : [ '-fexceptions', '-frtti' ], } ], ] } ] }

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ac6b70bd8c478a938c4385c2107c90123bb214fc

1,512

py

Python

mainwindow/webfunc.py

philliphqs/Safey

a60a4f379083373c4615e51f09e70a4fd4e68ef3

[ "MIT" ]

2

2020-11-13T20:02:53.000Z

2021-06-27T16:05:18.000Z

mainwindow/webfunc.py

philliphqs/Safey

a60a4f379083373c4615e51f09e70a4fd4e68ef3

[ "MIT" ]

null

mainwindow/webfunc.py

philliphqs/Safey

a60a4f379083373c4615e51f09e70a4fd4e68ef3

[ "MIT" ]

null

import webbrowser from assets import properties import subprocess def hqsartworks(sender, data): webbrowser.open_new_tab(url=properties.Website) def hqsbotInvite(sender, data): webbrowser.open_new_tab(url=f'{properties.Website}/invitelink.html') def hqsartworksServerInvite(sender, data): webbrowser.open_new_tab(url=f'{properties.hqsartworksDiscordInvite}') def AlphaclanServerInvite(sender, data): webbrowser.open_new_tab(url=f'{properties.AlphaclanDiscordInvite}') def DevInstagram(sender, data): webbrowser.open_new_tab(url=f'https://www.instagram.com/{properties.DevInstagram}') def OrgInstagram(sender, data): webbrowser.open_new_tab(url=f'https://www.instagram.com/{properties.OrgInstagram}') def DevTwitter(sender, data): webbrowser.open_new_tab(url=f'https://www.twitter.com/{properties.DevTwitter}') def OrgTwitter(sender, data): webbrowser.open_new_tab(url=f'https://www.twitter.com/{properties.OrgTwitter}') def DevSnapchat(sender, data): webbrowser.open_new_tab(url=f'https://www.snapchat.com/add/{properties.DevSnapchat}') def OrgSnapchat(sender, data): webbrowser.open_new_tab(url=f'https://www.snapchat.com/{properties.OrgSnapchat}') def mailto_contact(sender, data): subprocess.Popen(['start', 'mailto:contact@hqsartworks.me']) def alphaclanWebsite(sender, data): webbrowser.open_new_tab(url=f'{properties.AlphaclanServerIP}') def jailbreakInviteLink(sender, data): webbrowser.open_new_tab(url=f'{properties.JailbreakInviteLink}')

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3baace12818f94cc646625ce2f2fed1d742c3647

76

py

Python

client/tvdb/sessions/__init__.py

labrys/panoptes

1bda8f44add4b221eb228ba2057fba9c6eee7219

[ "MIT" ]

null

client/tvdb/sessions/__init__.py

labrys/panoptes

1bda8f44add4b221eb228ba2057fba9c6eee7219

[ "MIT" ]

null

client/tvdb/sessions/__init__.py

labrys/panoptes

1bda8f44add4b221eb228ba2057fba9c6eee7219

[ "MIT" ]

null

# coding=utf-8 """ This package provides a custom session for TheTVDB. """

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0

null

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1

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4

3bcab9d0508eefadfa9e4c4bbab9bab0098e2329

318

py

Python

src/antidote/_providers/__init__.py

Finistere/antidote

97751e0e6a1b8bd638a1c33212345c7a84ad97b8

[ "MIT" ]

52

2017-12-17T19:52:37.000Z

2022-03-29T10:24:04.000Z

src/antidote/_providers/__init__.py

Finistere/antidote

97751e0e6a1b8bd638a1c33212345c7a84ad97b8

[ "MIT" ]

32

2018-11-02T08:49:16.000Z

2022-03-25T22:23:30.000Z

src/antidote/_providers/__init__.py

Finistere/antidote

97751e0e6a1b8bd638a1c33212345c7a84ad97b8

[ "MIT" ]

5

2019-05-17T18:26:14.000Z

2021-12-25T23:13:31.000Z

from .factory import FactoryProvider from .indirect import IndirectProvider from .lazy import Lazy, LazyProvider from .service import ServiceProvider from .world_test import WorldTestProvider __all__ = ['FactoryProvider', 'IndirectProvider', 'Lazy', 'LazyProvider', 'ServiceProvider', 'WorldTestProvider']

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3bd0a52be6cb1dbe4c6b7b13255f8ae6f1e5013a

2,379

py

Python

cogs/Image.py

ThatGuyZapdos/Zapbot

aa01445c6c791560560eeca81668bbf053b629f4

[ "MIT" ]

2

2021-03-06T04:39:03.000Z

2021-03-08T09:46:54.000Z

cogs/Image.py

Zapd0s/Zapbot

00a43b0cdf953a4d1c06eadb18c30a75d48a1a23

[ "MIT" ]

null

cogs/Image.py

Zapd0s/Zapbot

00a43b0cdf953a4d1c06eadb18c30a75d48a1a23

[ "MIT" ]

null

import discord from discord.ext import commands import os import asyncdagpi class Image(commands.Cog): def __init__(self,client): self.client = client self.dagpi = asyncdagpi.Client(os.getenv("DAGPI_TOKEN")) @commands.command() async def pixel(self, ctx, member: discord.Member): url = str(member.avatar_url_as(format="png", size=1024)) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.pixel(), url) file = discord.File(fp=img.image,filename=f"pixel.{img.format}") await ctx.send(file = file) @commands.command() async def triggered(self, ctx, member: discord.Member): async with ctx.channel.typing(): url = str(member.avatar_url_as(format="png")) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.triggered(), url) file = discord.File(fp=img.image,filename=f"triggered.{img.format}") await ctx.send(file = file) @commands.command() async def wasted(self, ctx, member: discord.Member): async with ctx.channel.typing(): url = str(member.avatar_url_as(format="png")) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.wasted(), url) file = discord.File(fp=img.image,filename=f"wasted.{img.format}") await ctx.send(file = file) @commands.command() async def ascii(self, ctx, member: discord.Member): async with ctx.channel.typing(): url = str(member.avatar_url_as(format="png")) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.ascii(), url) file = discord.File(fp=img.image,filename=f"ascii.{img.format}") await ctx.send(file = file) @commands.command() async def wanted(self, ctx, member: discord.Member): async with ctx.channel.typing(): url = str(member.avatar_url_as(format="png")) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.wanted(), url) file = discord.File(fp=img.image,filename=f"wanted.{img.format}") await ctx.send(file = file) @commands.command() async def magik(self, ctx, member: discord.Member): async with ctx.channel.typing(): url = str(member.avatar_url_as(format="png")) img = await self.dagpi.image_process(asyncdagpi.ImageFeatures.magik(), url) file = discord.File(fp=img.image,filename=f"magik.{img.format}") await ctx.send(file = file) def setup(client): client.add_cog(Image(client))

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3bd9c9518ee83e1564d3b0cb2c21891e91664a4e

103

py

Python

haveaniceday/tables_of_month/apps.py

noracami/haveaniceday

d54518e1a3bfb06c076778937b53c33064a07603

[ "MIT" ]

null

haveaniceday/tables_of_month/apps.py

noracami/haveaniceday

d54518e1a3bfb06c076778937b53c33064a07603

[ "MIT" ]

null

haveaniceday/tables_of_month/apps.py

noracami/haveaniceday

d54518e1a3bfb06c076778937b53c33064a07603

[ "MIT" ]

null

from django.apps import AppConfig class TablesOfMonthConfig(AppConfig): name = 'tables_of_month'

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null

0

1

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1

0

4

ce017424861ff25d1ecf934485d8054bdf9c0c9c

100

py

Python

codes_auto/747.min-cost-climbing-stairs.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/747.min-cost-climbing-stairs.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/747.min-cost-climbing-stairs.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

# # @lc app=leetcode.cn id=747 lang=python3 # # [747] min-cost-climbing-stairs # None # @lc code=end

14.285714

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ce0974984b26bd5f0500966c9c6d49c180567979

321

py

Python

lib/configuration.py

kiedtl/bevbot

419c9577b54b4fc9f3ffd16fea2a9241df6bc635

[ "MIT" ]

null

lib/configuration.py

kiedtl/bevbot

419c9577b54b4fc9f3ffd16fea2a9241df6bc635

[ "MIT" ]

null

lib/configuration.py

kiedtl/bevbot

419c9577b54b4fc9f3ffd16fea2a9241df6bc635

[ "MIT" ]

null

# configuration for the bot. # # tables: # defaults ( key: string, value: string, type ) # #<channel> ( key: string, value: string, type ) # nickname ( key: string, value: string, type ) # # if the #<channel>'s value for a particular key is # not set, it defaults to the value provided in the # defaults table.

29.181818

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321

4.711111

0.533333

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0.198113

0.283019

0.339623

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321

10

52

32.1

0.844622

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null

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null

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null

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null

true

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null

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null

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1

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null

0

1

0

4

ce3bfc7a1a16335ee3beb334f91ce8de6f43d18f

157

py

Python

pyaud_plugins/__init__.py

jshwi/pyaud-plugins

873eea37e3e0d70a484974ef7bbf024356083a03

[ "MIT" ]

null

pyaud_plugins/__init__.py

jshwi/pyaud-plugins

873eea37e3e0d70a484974ef7bbf024356083a03

[ "MIT" ]

17

2022-01-12T22:33:55.000Z

2022-03-31T22:30:36.000Z

pyaud_plugins/__init__.py

jshwi/pyaud-plugins

873eea37e3e0d70a484974ef7bbf024356083a03

[ "MIT" ]

null

"""Plugin package for Pyaud.""" from . import _plugins from ._environ import environ from ._version import __version__ __all__ = ["__version__", "environ"]

22.428571

36

0.751592

18

157

5.722222

0.555556

0

0.133758

157

6

37

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null

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null

0

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1

0

4

cbfbc4078ae9d6498804c4ce1cae2ae84b1ff24b

40

py

Python

prueba/hola.py

EsauMiranda/github-tutorial

5e6e9241cb430659364d147eeab0b52b459527cc

[ "Apache-2.0" ]

null

prueba/hola.py

EsauMiranda/github-tutorial

5e6e9241cb430659364d147eeab0b52b459527cc

[ "Apache-2.0" ]

null

prueba/hola.py

EsauMiranda/github-tutorial

5e6e9241cb430659364d147eeab0b52b459527cc

[ "Apache-2.0" ]

null

x = 3 print("Hola Mundo ", x,", adios")

13.333333

33

0.55

7

40

3.142857

0.857143

0

0.03125

0.2

40

2

34

20

0.65625

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null

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null

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