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float64
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float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
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qsc_code_frac_chars_dupe_7grams_quality_signal
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qsc_code_frac_chars_dupe_8grams_quality_signal
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qsc_code_frac_chars_dupe_9grams_quality_signal
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qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
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qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
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qsc_code_num_chars_line_mean_quality_signal
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qsc_code_frac_lines_dupe_lines_quality_signal
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qsc_code_cate_encoded_data_quality_signal
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float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
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qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
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qsc_code_frac_words_unique
null
qsc_code_frac_chars_top_2grams
int64
qsc_code_frac_chars_top_3grams
int64
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qsc_code_frac_chars_dupe_5grams
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qsc_code_frac_chars_dupe_7grams
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qsc_code_frac_chars_dupe_10grams
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qsc_code_frac_chars_replacement_symbols
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int64
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int64
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int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
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qsc_codepython_frac_lines_pass
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qsc_codepython_score_lines_no_logic
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qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
80e28e3d61ee552a5bc75d7be2e316ae51e5bf47
37
py
Python
mhealth/users/__init__.py
theCreedo/indigitous-mental-health-app
e3a66a6b2e7fbd105106d0315f78ea3c93647fe8
[ "MIT" ]
null
null
null
mhealth/users/__init__.py
theCreedo/indigitous-mental-health-app
e3a66a6b2e7fbd105106d0315f78ea3c93647fe8
[ "MIT" ]
null
null
null
mhealth/users/__init__.py
theCreedo/indigitous-mental-health-app
e3a66a6b2e7fbd105106d0315f78ea3c93647fe8
[ "MIT" ]
null
null
null
from mhealth.users.models import User
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py
Python
opencorpora/__init__.py
OpenCorpora/opencorpora-tools
a4064b911347cbb1ded88e108e135186aeeb27e9
[ "MIT" ]
3
2017-02-24T17:25:28.000Z
2019-02-27T22:09:54.000Z
opencorpora/__init__.py
OpenCorpora/opencorpora-tools
a4064b911347cbb1ded88e108e135186aeeb27e9
[ "MIT" ]
null
null
null
opencorpora/__init__.py
OpenCorpora/opencorpora-tools
a4064b911347cbb1ded88e108e135186aeeb27e9
[ "MIT" ]
1
2020-10-18T21:38:21.000Z
2020-10-18T21:38:21.000Z
# -*- coding: utf-8 -*- from __future__ import absolute_import from .reader import CorpusReader from .reader_lxml import load
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py
Python
topsim/core/algorithm.py
myxie/topsim
0d2ebe918f214903760fbf044a4875d470dda688
[ "MIT" ]
null
null
null
topsim/core/algorithm.py
myxie/topsim
0d2ebe918f214903760fbf044a4875d470dda688
[ "MIT" ]
7
2019-11-11T07:52:29.000Z
2020-10-21T05:31:59.000Z
topsim/core/algorithm.py
myxie/topsim
0d2ebe918f214903760fbf044a4875d470dda688
[ "MIT" ]
null
null
null
from abc import ABC, abstractmethod class Algorithm(ABC): @abstractmethod def __call__(self, cluster, clock, plan): pass
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03d92340bd10af002e8bd4ef840bbb07da51f20c
234
py
Python
project2/blackjack/player/playerbase.py
vcelis/python-3-bootcamp
6b1fdeca6a3c8fe9e56e39ea8ef186eaeb29deba
[ "MIT" ]
null
null
null
project2/blackjack/player/playerbase.py
vcelis/python-3-bootcamp
6b1fdeca6a3c8fe9e56e39ea8ef186eaeb29deba
[ "MIT" ]
null
null
null
project2/blackjack/player/playerbase.py
vcelis/python-3-bootcamp
6b1fdeca6a3c8fe9e56e39ea8ef186eaeb29deba
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Module docstring TODO: * Write module docstring """ from .hand import Hand class PlayerBase: """Class to represent a base for player objects""" def __init__(self): self.hand = Hand()
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5
208a1e5a7963215135f66216e6938f9bcc9d4059
241
py
Python
Calculadora de Area/circle.py
luisxfelipe/arquitetura-projetos-sistemas_IMPACTA
41405014d82ab8439b92d7c6e68b41117a4e8f0d
[ "Apache-2.0" ]
null
null
null
Calculadora de Area/circle.py
luisxfelipe/arquitetura-projetos-sistemas_IMPACTA
41405014d82ab8439b92d7c6e68b41117a4e8f0d
[ "Apache-2.0" ]
null
null
null
Calculadora de Area/circle.py
luisxfelipe/arquitetura-projetos-sistemas_IMPACTA
41405014d82ab8439b92d7c6e68b41117a4e8f0d
[ "Apache-2.0" ]
null
null
null
from calculator import Calculator class Circle(Calculator): def __init__(self, radius:float): self.__radius = radius def calculate(self) -> float: return float("%.2f" % (3.14*(self.__radius ** 2)))
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20afb110c4c999a3c20f41398bce03d4f945ae9b
219
py
Python
utils/helpers.py
bmwant21/bmwlog
bfbe2718714f6ccf5cfca2204305f203aac3682a
[ "Unlicense" ]
1
2019-09-23T06:01:14.000Z
2019-09-23T06:01:14.000Z
utils/helpers.py
bmwant21/bmwlog
bfbe2718714f6ccf5cfca2204305f203aac3682a
[ "Unlicense" ]
1
2018-06-03T16:30:16.000Z
2018-06-03T16:30:16.000Z
utils/helpers.py
bmwant21/bmwlog
bfbe2718714f6ccf5cfca2204305f203aac3682a
[ "Unlicense" ]
null
null
null
import click def note(message): click.secho(f'\n==> {message}', fg='green') def info(message): click.secho(f'\n==> {message}', fg='yellow') def warn(message): click.secho(f'\n==> {message}', fg='red')
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5
20f1351396f83c0857b50952f9c673c1e6459d19
248
py
Python
src/lamberthub/plotting/__init__.py
jorgepiloto/lamberthub
fedf6aaa939ee08e3bccb754b519397352cb5a84
[ "Apache-2.0" ]
10
2021-05-18T11:16:09.000Z
2022-02-07T13:20:37.000Z
src/lamberthub/plotting/__init__.py
jorgepiloto/lamberthub
fedf6aaa939ee08e3bccb754b519397352cb5a84
[ "Apache-2.0" ]
39
2021-05-18T10:08:58.000Z
2021-10-14T14:28:05.000Z
src/lamberthub/plotting/__init__.py
jorgepiloto/lamberthub
fedf6aaa939ee08e3bccb754b519397352cb5a84
[ "Apache-2.0" ]
1
2021-10-21T15:00:00.000Z
2021-10-21T15:00:00.000Z
""" A sub-package holding a collection of plotting utilities """ from lamberthub.plotting.iterations import IterationsPlotter from lamberthub.plotting.time import TPIPlotter, TTCPlotter __all__ = ["IterationsPlotter", "TPIPlotter", "TTCPlotter"]
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5
20f2d1851a0097be8a97c06a089689608ff68db8
135
py
Python
videoApp/admin.py
AktanKasymaliev/django-video-hosting
b201ed3421025da22b43405452bde617ea26a90f
[ "MIT" ]
null
null
null
videoApp/admin.py
AktanKasymaliev/django-video-hosting
b201ed3421025da22b43405452bde617ea26a90f
[ "MIT" ]
null
null
null
videoApp/admin.py
AktanKasymaliev/django-video-hosting
b201ed3421025da22b43405452bde617ea26a90f
[ "MIT" ]
null
null
null
from django.contrib import admin from videoApp.models import Video, Comments admin.site.register(Video) admin.site.register(Comments)
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5
45665552cc839c59358c541473a9be2a72efd9c8
35
py
Python
tests/conftest.py
zenoone/deepqmc
c05e6c0398212aff9a514e7ad2e7a19243115aef
[ "MIT" ]
224
2020-07-16T11:14:01.000Z
2022-03-30T11:02:35.000Z
tests/conftest.py
zenoone/deepqmc
c05e6c0398212aff9a514e7ad2e7a19243115aef
[ "MIT" ]
39
2020-07-19T14:44:31.000Z
2022-03-28T07:54:35.000Z
tests/conftest.py
zenoone/deepqmc
c05e6c0398212aff9a514e7ad2e7a19243115aef
[ "MIT" ]
50
2020-07-28T18:12:51.000Z
2022-03-30T11:02:46.000Z
import torch torch.manual_seed(0)
8.75
20
0.8
6
35
4.5
0.833333
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0
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0.032258
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35
3
21
11.666667
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true
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5
45ce6bdd96a0265c9d10ec4d2554808613bf7a13
241
py
Python
app/routes/__init__.py
thainaferreira/matriz-de-eisenhower
651226fc41d3b9756033b57ac67438380dae7e71
[ "MIT" ]
null
null
null
app/routes/__init__.py
thainaferreira/matriz-de-eisenhower
651226fc41d3b9756033b57ac67438380dae7e71
[ "MIT" ]
null
null
null
app/routes/__init__.py
thainaferreira/matriz-de-eisenhower
651226fc41d3b9756033b57ac67438380dae7e71
[ "MIT" ]
null
null
null
from flask import Flask def init_app(app: Flask): from app.routes.category_blueprint import bp_category from app.routes.tasks_blueprint import bp_task app.register_blueprint(bp_category) app.register_blueprint(bp_task)
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5.114286
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9
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0
5
b303d7c2d8fe9216075879ee51961ee32145e81d
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py
Python
read/read/str/readers/wikidump.py
vitalfadeev/read
f8893daa732d50bb6f1da94e66d016d5611f1983
[ "MIT" ]
null
null
null
read/read/str/readers/wikidump.py
vitalfadeev/read
f8893daa732d50bb6f1da94e66d016d5611f1983
[ "MIT" ]
null
null
null
read/read/str/readers/wikidump.py
vitalfadeev/read
f8893daa732d50bb6f1da94e66d016d5611f1983
[ "MIT" ]
null
null
null
def reader(): ...
4.8
13
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5
b319e56e1760b4f77a1330c8b89e23a3aa1e7782
45
py
Python
holobot/framework/network/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
1
2021-05-24T00:17:46.000Z
2021-05-24T00:17:46.000Z
holobot/framework/network/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
41
2021-03-24T22:50:09.000Z
2021-12-17T12:15:13.000Z
holobot/framework/network/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
null
null
null
from .http_client_pool import HttpClientPool
22.5
44
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5
b34549e573b4646d91ee371dfdfba2450f863011
97
py
Python
gitgud/hooks/precommit.py
elandt/git-gud
4def16519e6f7d911355f3d0b6f0d60bbef6fcf9
[ "MIT" ]
null
null
null
gitgud/hooks/precommit.py
elandt/git-gud
4def16519e6f7d911355f3d0b6f0d60bbef6fcf9
[ "MIT" ]
null
null
null
gitgud/hooks/precommit.py
elandt/git-gud
4def16519e6f7d911355f3d0b6f0d60bbef6fcf9
[ "MIT" ]
null
null
null
import sys print('Command "git commit" is diabled. Use "git gud commit" instead.') sys.exit(1)
16.166667
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0.012195
0.154639
97
5
72
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true
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5
b352cdc77589368e5ca3e3b9b3fdcd520559a8bc
24,460
py
Python
health_workforce/migrations/0001_initial.py
MarkJaroski/aho-dev-dct
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
[ "MIT" ]
null
null
null
health_workforce/migrations/0001_initial.py
MarkJaroski/aho-dev-dct
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
[ "MIT" ]
null
null
null
health_workforce/migrations/0001_initial.py
MarkJaroski/aho-dev-dct
75ad72d408ce60ebfdf9c02fe57cdf9edba5e4d7
[ "MIT" ]
null
null
null
# Generated by Django 2.2.12 on 2021-03-18 11:32 from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion import health_workforce.models import parler.fields import parler.models import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('publications', '0020_auto_20210315_1356'), ('home', '0020_auto_20201205_1938'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('regions', '0015_stglocationcodes'), ] operations = [ migrations.CreateModel( name='StgAnnouncements', fields=[ ('event_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=45, unique=True, verbose_name='Code')), ('internal_url', models.FileField(blank=True, upload_to='media/files/events', verbose_name='Upload File/Video(s)')), ('external_url', models.CharField(blank=True, max_length=2083, null=True, verbose_name='Web Link (URL)')), ('cover_image', models.ImageField(blank=True, upload_to='media/images/events', verbose_name='Upload Picture/Banner(s)')), ('start_year', models.PositiveIntegerField(default=2021, help_text='This marks the start of reporting period', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Starting period')), ('end_year', models.PositiveIntegerField(default=2021, help_text='This marks the end of reporting. The value must be current year or greater than the start year', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Ending Period')), ('period', models.CharField(blank=True, max_length=10, verbose_name='Period')), ('status', models.CharField(choices=[('active', 'Open'), ('inactive', 'Closed'), ('suspended', 'Suspended')], default='active', max_length=10, verbose_name='Status')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ('location', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='regions.StgLocation', verbose_name='Location')), ], options={ 'verbose_name': 'Announcement', 'verbose_name_plural': 'Announcements', 'db_table': 'stg_event_announcement', 'ordering': ('translations__name',), 'managed': True, 'unique_together': {('location', 'start_year', 'end_year')}, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='StgHealthCadre', fields=[ ('cadre_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=45, unique=True, verbose_name='ISCO-08 Code')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ('parent', models.ForeignKey(blank=True, default=1, null=True, on_delete=django.db.models.deletion.PROTECT, to='health_workforce.StgHealthCadre', verbose_name='Parent Cadre')), ], options={ 'verbose_name': 'Health Cadre', 'verbose_name_plural': ' Health Cadres', 'db_table': 'stg_health_cadre', 'ordering': ('translations__name',), 'managed': True, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='StgInstitutionProgrammes', fields=[ ('course_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=50, null=True, unique=True, verbose_name='Code')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ], options={ 'verbose_name': 'Training Programme', 'verbose_name_plural': ' Training Programmes', 'db_table': 'stg_institution_programme', 'ordering': ('translations__name',), 'managed': True, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='StgInstitutionType', fields=[ ('type_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=50, null=True, unique=True, verbose_name='Code')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ], options={ 'verbose_name': 'Institution Type', 'verbose_name_plural': ' Institution Types', 'db_table': 'stg_institution_type', 'ordering': ('translations__name',), 'managed': True, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='StgRecurringEvent', fields=[ ('event_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=45, unique=True, verbose_name='Event Code')), ('internal_url', models.FileField(blank=True, upload_to='media/files/events', verbose_name='Upload File/Video(s)')), ('external_url', models.CharField(blank=True, max_length=2083, null=True, verbose_name='Web Address (URL)')), ('cover_image', models.ImageField(blank=True, upload_to='media/images/events', verbose_name='Upload Picture/Banner(s)')), ('start_year', models.PositiveIntegerField(default=2021, help_text='This marks the start of reporting period', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Starting period')), ('end_year', models.PositiveIntegerField(default=2021, help_text='This marks the end of reporting. The value must be current year or greater than the start year', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Ending Period')), ('period', models.CharField(blank=True, max_length=10, verbose_name='Period')), ('status', models.CharField(choices=[('active', 'Open'), ('inactive', 'Closed'), ('suspended', 'Suspended')], default='active', max_length=10, verbose_name='Status')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ('cadre_id', models.ManyToManyField(blank=True, db_table='stg_recurring_event_lookup', to='health_workforce.StgHealthCadre', verbose_name='Target Focus')), ('location', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='regions.StgLocation', verbose_name='Event Location')), ], options={ 'verbose_name': 'Nursing & Midwifery', 'verbose_name_plural': 'Nursing and Midwifery', 'db_table': 'stg_recurring_event', 'ordering': ('translations__name',), 'managed': True, 'unique_together': {('location', 'start_year', 'end_year')}, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='StgTrainingInstitution', fields=[ ('institution_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('code', models.CharField(blank=True, max_length=15, unique=True, verbose_name='Institution Code')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ('location', models.ForeignKey(default='1', on_delete=django.db.models.deletion.PROTECT, to='regions.StgLocation', verbose_name='Location')), ('programmes', models.ManyToManyField(blank=True, db_table='stg_institution_programs_lookup', to='health_workforce.StgInstitutionProgrammes', verbose_name='Training Programmes')), ('type', models.ForeignKey(default=6, on_delete=django.db.models.deletion.PROTECT, to='health_workforce.StgInstitutionType', verbose_name='Institution Type')), ('user', models.ForeignKey(default=2, on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL, verbose_name='User Name (Email)')), ], options={ 'verbose_name': 'Institution', 'verbose_name_plural': ' Training Institutions', 'db_table': 'stg_traininginstitution', 'ordering': ('translations__name',), 'managed': True, }, bases=(parler.models.TranslatableModelMixin, models.Model), ), migrations.CreateModel( name='HumanWorkforceResourceProxy', fields=[ ], options={ 'verbose_name': 'Resource/Guide', 'verbose_name_plural': 'Resources/Guides', 'proxy': True, 'indexes': [], 'constraints': [], }, bases=('publications.stgknowledgeproduct',), ), migrations.CreateModel( name='ResourceCategoryProxy', fields=[ ], options={ 'verbose_name': 'Resource Category', 'verbose_name_plural': 'Resource Categories', 'proxy': True, 'indexes': [], 'constraints': [], }, bases=('publications.stgresourcecategory',), ), migrations.CreateModel( name='ResourceTypeProxy', fields=[ ], options={ 'verbose_name': 'Resource Type', 'verbose_name_plural': 'Resource Types', 'proxy': True, 'indexes': [], 'constraints': [], }, bases=('publications.stgresourcetype',), ), migrations.CreateModel( name='StgHealthWorkforceFacts', fields=[ ('fact_id', models.AutoField(primary_key=True, serialize=False)), ('uuid', models.CharField(default=uuid.uuid4, editable=False, max_length=36, unique=True, verbose_name='Unique ID')), ('value', models.DecimalField(decimal_places=3, max_digits=20, verbose_name='Data Value')), ('start_year', models.PositiveIntegerField(default=2021, help_text='This marks the start of reporting period', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Starting period')), ('end_year', models.PositiveIntegerField(default=2021, help_text='This marks the end of reporting. The value must be current year or greater than the start year', validators=[django.core.validators.MinValueValidator(1900), health_workforce.models.max_value_current_year], verbose_name='Ending Period')), ('period', models.CharField(blank=True, max_length=10, verbose_name='Period')), ('status', models.CharField(choices=[('pending', 'Pending'), ('approved', 'Approved'), ('rejected', 'Rejected')], default='pending', max_length=10, verbose_name='Status')), ('date_created', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Date Created')), ('date_lastupdated', models.DateTimeField(auto_now=True, null=True, verbose_name='Date Modified')), ('cadre_id', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='health_workforce.StgHealthCadre', verbose_name='Occupation/Cadre')), ('categoryoption', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='home.StgCategoryoption', verbose_name='Disaggregation Options')), ('datasource', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='home.StgDatasource', verbose_name='Data Source')), ('location', models.ForeignKey(default=1, on_delete=django.db.models.deletion.PROTECT, to='regions.StgLocation', verbose_name='Location')), ('measuremethod', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='home.StgMeasuremethod', verbose_name='Measure Type')), ('user', models.ForeignKey(default=2, on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL, verbose_name='User Name (Email)')), ], options={ 'verbose_name': 'Health Workforce', 'verbose_name_plural': ' Health Workforce', 'db_table': 'fact_health_workforce', 'ordering': ('cadre_id',), 'managed': True, }, ), migrations.CreateModel( name='StgTrainingInstitutionTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(max_length=230, verbose_name='Institution Name')), ('faculty', models.CharField(blank=True, max_length=150, null=True, verbose_name='Faculty Name')), ('accreditation', models.CharField(choices=[('accredited', 'Accredited'), ('charterted', 'Chartered'), ('unacredited', 'Not Accredited'), ('pending', 'Pending Accreditation')], default='accredited', max_length=50, verbose_name='Accreditation Status')), ('regulator', models.CharField(blank=True, max_length=150, null=True, verbose_name='Regulatory Body')), ('accreditation_info', models.CharField(blank=True, max_length=2000, verbose_name='Accreditation Details')), ('language', models.CharField(blank=True, max_length=50, null=True, verbose_name='Teaching Language')), ('address', models.CharField(blank=True, max_length=500, null=True, verbose_name='Contact Person')), ('posta', models.CharField(blank=True, max_length=500, null=True, verbose_name='Post Address')), ('email', models.EmailField(blank=True, max_length=150, null=True, unique=True, verbose_name='Email')), ('phone_number', models.CharField(blank=True, max_length=15, validators=[django.core.validators.RegexValidator(message="Phone format: '+999999999' maximum 15.", regex='^\\+?1?\\d{9,15}$')], verbose_name='Phone Number')), ('url', models.URLField(blank=True, max_length=2083, null=True, verbose_name='Web Address')), ('latitude', models.FloatField(blank=True, null=True, verbose_name='Latitude')), ('longitude', models.FloatField(blank=True, null=True, verbose_name='Longitude')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgTrainingInstitution')), ], options={ 'verbose_name': 'Institution Translation', 'db_table': 'stg_traininginstitution_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), migrations.CreateModel( name='StgRecurringEventTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(default='International Year of the Nurse and the Midwife', max_length=230, verbose_name='Name of Event')), ('shortname', models.CharField(max_length=230, verbose_name='Short Name')), ('theme', models.TextField(blank=True, null=True, verbose_name='Theme')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgRecurringEvent')), ], options={ 'verbose_name': 'Nursing & Midwifery Translation', 'db_table': 'stg_recurring_event_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), migrations.CreateModel( name='StgInstitutionTypeTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(max_length=230, verbose_name='Name')), ('shortname', models.CharField(blank=True, max_length=230, null=True, verbose_name='Short Name')), ('description', models.TextField(blank=True, null=True, verbose_name='Brief Description')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgInstitutionType')), ], options={ 'verbose_name': 'Institution Type Translation', 'db_table': 'stg_institution_type_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), migrations.CreateModel( name='StgInstitutionProgrammesTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(max_length=230, verbose_name='Type Name')), ('shortname', models.CharField(blank=True, max_length=230, null=True, verbose_name='Short Name')), ('description', models.TextField(blank=True, null=True, verbose_name='Brief Description')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgInstitutionProgrammes')), ], options={ 'verbose_name': 'Training Programme Translation', 'db_table': 'stg_institution_programme_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), migrations.CreateModel( name='StgHealthCadreTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(max_length=230, verbose_name='Cadre Name')), ('shortname', models.CharField(max_length=230, verbose_name='Short Name')), ('academic', models.CharField(choices=[('degree', 'Degree'), ('diploma', 'Diploma'), ('masters', 'Masters'), ('phd', 'Doctorate'), ('certificate', 'Certificate'), ('basic', 'Basic Education')], default='degree', max_length=10, verbose_name='Academic Qualification')), ('description', models.TextField(blank=True, null=True, verbose_name='Brief Description')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgHealthCadre')), ], options={ 'verbose_name': 'Health Cadre Translation', 'db_table': 'stg_health_cadre_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), migrations.CreateModel( name='StgAnnouncementsTranslation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('language_code', models.CharField(db_index=True, max_length=15, verbose_name='Language')), ('name', models.CharField(max_length=230, verbose_name='Announcment Title')), ('shortname', models.CharField(max_length=230, verbose_name='Short Title')), ('message', models.TextField(blank=True, null=True, verbose_name='Message')), ('master', parler.fields.TranslationsForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='health_workforce.StgAnnouncements')), ], options={ 'verbose_name': 'Announcement Translation', 'db_table': 'stg_event_announcement_translation', 'db_tablespace': '', 'managed': True, 'default_permissions': (), 'unique_together': {('language_code', 'master')}, }, bases=(parler.models.TranslatedFieldsModelMixin, models.Model), ), ]
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2fade62f1e7d503c856301c01ed9541c67676181
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py
Python
project_1/src/models/__init__.py
kkaryl/AI6126-Advanced_Computer_Vision
6a55fe02f3267dc295b001f88df595e649c1fd31
[ "MIT" ]
3
2020-12-28T06:58:31.000Z
2021-08-30T16:47:03.000Z
project_1/src/models/__init__.py
kkaryl/AI6126-Advanced_Computer_Vision
6a55fe02f3267dc295b001f88df595e649c1fd31
[ "MIT" ]
null
null
null
project_1/src/models/__init__.py
kkaryl/AI6126-Advanced_Computer_Vision
6a55fe02f3267dc295b001f88df595e649c1fd31
[ "MIT" ]
2
2020-12-28T06:57:56.000Z
2022-01-15T09:04:53.000Z
from __future__ import absolute_import from .face_attr_net import *
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5
2fb822a32228ad341f937329178ccf15f8d0feac
52
py
Python
web.py/v6/spatial_blocking.py
columbustech/label-debugger
e509c64e3184c05ef936c0a7a881ee0124067776
[ "MIT" ]
1
2020-09-23T16:42:53.000Z
2020-09-23T16:42:53.000Z
web.py/v6/spatial_blocking.py
columbustech/label-debugger
e509c64e3184c05ef936c0a7a881ee0124067776
[ "MIT" ]
1
2019-10-04T22:16:02.000Z
2019-11-07T23:19:17.000Z
web.py/v6/spatial_blocking.py
columbustech/label-debugger
e509c64e3184c05ef936c0a7a881ee0124067776
[ "MIT" ]
1
2019-09-24T21:17:31.000Z
2019-09-24T21:17:31.000Z
''' Created on Mar 9, 2019 @author: hzhang0418 '''
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0
0
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0
5
2fc182179e17165fa2991d61377cba99d57fca3f
49
py
Python
algorithms/tree/trie/__init__.py
duncangh/algorithms
9fa789d91294cb3a8045aa36f74d045db6875388
[ "MIT" ]
null
null
null
algorithms/tree/trie/__init__.py
duncangh/algorithms
9fa789d91294cb3a8045aa36f74d045db6875388
[ "MIT" ]
null
null
null
algorithms/tree/trie/__init__.py
duncangh/algorithms
9fa789d91294cb3a8045aa36f74d045db6875388
[ "MIT" ]
null
null
null
from .add_and_search import * from .trie import *
24.5
29
0.77551
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4.5
0.75
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30
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0
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0
1
0
0
0
0
5
2ff3464d5ec58f64928e909041b7c4ed2e1f639e
36
py
Python
toontown/dna/DNAError.py
LittleNed/toontown-stride
1252a8f9a8816c1810106006d09c8bdfe6ad1e57
[ "Apache-2.0" ]
3
2020-01-02T08:43:36.000Z
2020-07-05T08:59:02.000Z
toontown/dna/DNAError.py
NoraTT/Historical-Commits-Project-Altis-Source
fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179
[ "Apache-2.0" ]
null
null
null
toontown/dna/DNAError.py
NoraTT/Historical-Commits-Project-Altis-Source
fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179
[ "Apache-2.0" ]
4
2019-06-20T23:45:23.000Z
2020-10-14T20:30:15.000Z
class DNAError(Exception): pass
12
26
0.722222
4
36
6.5
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3
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1
1
0
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0
0
5
2ff4a2c49980460cb7549cb9a4e7d8cf71228bcb
103
py
Python
LCADMM-0.0.1/LCADMM/__init__.py
chenyx09/LCADMM
11800fa018bf2057ab73f9b8da3707c13ba19954
[ "MIT" ]
null
null
null
LCADMM-0.0.1/LCADMM/__init__.py
chenyx09/LCADMM
11800fa018bf2057ab73f9b8da3707c13ba19954
[ "MIT" ]
null
null
null
LCADMM-0.0.1/LCADMM/__init__.py
chenyx09/LCADMM
11800fa018bf2057ab73f9b8da3707c13ba19954
[ "MIT" ]
1
2021-09-24T02:53:51.000Z
2021-09-24T02:53:51.000Z
from LCADMM.solver import ADMM_problem from LCADMM.node import ADMM_var from LCADMM.constants import *
25.75
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0.84466
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103
5.3125
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39
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5
2ff911e4d2d6ef66cf748bf106b1b46505e311b5
51
py
Python
archive/MCQ/metrics/__init__.py
dreinq/DeepQ
abb6d8b492f802fefbc0095e8719377dc708069c
[ "Apache-2.0" ]
null
null
null
archive/MCQ/metrics/__init__.py
dreinq/DeepQ
abb6d8b492f802fefbc0095e8719377dc708069c
[ "Apache-2.0" ]
null
null
null
archive/MCQ/metrics/__init__.py
dreinq/DeepQ
abb6d8b492f802fefbc0095e8719377dc708069c
[ "Apache-2.0" ]
1
2020-11-23T09:13:58.000Z
2020-11-23T09:13:58.000Z
from .helpers import Reconstruct, QuantizationError
51
51
0.882353
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51
9
1
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51
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1
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1
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0
5
ff2b85c10f05406abde39babc2e57420c39ded2f
294
py
Python
tools/__init__.py
zs-liu/Pytorch-AS
4e41f96522cce7a35f6625bdbe3863c0b74ee0ca
[ "MIT" ]
null
null
null
tools/__init__.py
zs-liu/Pytorch-AS
4e41f96522cce7a35f6625bdbe3863c0b74ee0ca
[ "MIT" ]
null
null
null
tools/__init__.py
zs-liu/Pytorch-AS
4e41f96522cce7a35f6625bdbe3863c0b74ee0ca
[ "MIT" ]
null
null
null
from tools.trainer import Trainer from tools.evaluator import Evaluator from tools.sim_function import CosSim from tools.sim_function import GesdSim from tools.sim_function import AesdSim from tools.load_save import save_checkpoint, load_checkpoint from tools.gpu_monitor import get_memory_use
36.75
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294
5.511111
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0.254032
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0.241935
0.314516
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0.098639
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7
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5
ff548290b01847c59941315ed209a3ac495640fb
143
py
Python
4_Backwoods_Forest/150-Backwoods_Ambush_A/back_amb_a.py
katitek/Code-Combat
fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef
[ "MIT" ]
null
null
null
4_Backwoods_Forest/150-Backwoods_Ambush_A/back_amb_a.py
katitek/Code-Combat
fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef
[ "MIT" ]
null
null
null
4_Backwoods_Forest/150-Backwoods_Ambush_A/back_amb_a.py
katitek/Code-Combat
fbda1ac0ae4a2e2cbfce21492a2caec8098f1bef
[ "MIT" ]
null
null
null
# Works only with a good seed # You need the Emperor's gloves to cast "Chain Lightning" hero.cast("chain-lightning", hero.findNearestEnemy())
28.6
57
0.755245
22
143
4.909091
0.818182
0.166667
0.333333
0.407407
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0.13986
143
4
58
35.75
0.878049
0.58042
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0.263158
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null
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null
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1
0
0
0
0
0
0
5
442c233b0311315e711a70a22c503c695a8891bc
50
py
Python
buildscripts/__init__.py
EshaMaharishi/pubsub-1
13cb194078ed39b00ea623db0d87df8e153e7981
[ "Apache-2.0" ]
324
2015-01-01T14:56:10.000Z
2022-03-08T04:52:37.000Z
buildscripts/__init__.py
wujf/mongo
f2f48b749ded0c5585c798c302f6162f19336670
[ "Apache-2.0" ]
38
2015-01-31T03:57:16.000Z
2019-04-21T03:30:53.000Z
buildscripts/__init__.py
wujf/mongo
f2f48b749ded0c5585c798c302f6162f19336670
[ "Apache-2.0" ]
60
2015-01-14T14:19:41.000Z
2021-02-10T21:54:12.000Z
import os; def findHacks( un ): return None
8.333333
20
0.64
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50
4.571429
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10
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0
1
1
0
0
0
5
44375a389733736a47263faebccf61d7e8dfc27b
29
py
Python
src/lib/scientific.py
edcheng160/abacus
f967528322d23b5624c7a62e123b24cf542bdada
[ "MIT" ]
null
null
null
src/lib/scientific.py
edcheng160/abacus
f967528322d23b5624c7a62e123b24cf542bdada
[ "MIT" ]
null
null
null
src/lib/scientific.py
edcheng160/abacus
f967528322d23b5624c7a62e123b24cf542bdada
[ "MIT" ]
null
null
null
#Scientific arithmetic modul
14.5
28
0.862069
3
29
8.333333
1
0
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1
29
29
0.961538
0.931034
0
null
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null
true
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1
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null
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null
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1
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0
0
0
0
0
5
445abd07b66650cfee22200057fa2ad2d8b8fca8
655
py
Python
src/tests/webDriverFunction.py
Chrisfufu/FullStackTesting1
1b5b5486e00e71cb08626cb4294be4a862ecc52c
[ "Apache-2.0" ]
null
null
null
src/tests/webDriverFunction.py
Chrisfufu/FullStackTesting1
1b5b5486e00e71cb08626cb4294be4a862ecc52c
[ "Apache-2.0" ]
2
2021-03-19T08:59:35.000Z
2021-03-30T13:52:33.000Z
src/tests/webDriverFunction.py
Chrisfufu/FullStackTesting1
1b5b5486e00e71cb08626cb4294be4a862ecc52c
[ "Apache-2.0" ]
null
null
null
from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.support.ui import Select from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC # this is wait Web Driver to update the XPATH def waitWebDriver(driver, xpath): return WebDriverWait(driver, 10).until( EC.presence_of_element_located((By.XPATH, xpath)) ) def waitWebDriverByClass_name(driver, className): return WebDriverWait(driver, 10).until( EC.presence_of_element_located((By.CLASS_NAME, className)) )
34.473684
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0.783206
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1
1
1
0
0
5
44672db167d9f091f5d504cbd84899f02df16473
124
py
Python
prog.py
bhargavbhegde7/GoChat
d0a163da2a1a60fa152d5b03bfebc87390137a30
[ "MIT" ]
1
2020-05-24T07:31:25.000Z
2020-05-24T07:31:25.000Z
prog.py
bhargavbhegde7/GoChat
d0a163da2a1a60fa152d5b03bfebc87390137a30
[ "MIT" ]
1
2020-05-24T18:28:25.000Z
2020-05-24T18:28:25.000Z
prog.py
bhargavbhegde7/GoChat
d0a163da2a1a60fa152d5b03bfebc87390137a30
[ "MIT" ]
null
null
null
import sys print 'what is your name?' sys.stdout.flush() name = raw_input() print 'your name is ' + name sys.stdout.flush()
17.714286
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0.709677
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124
4.142857
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0.298851
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0.153226
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6
29
20.666667
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5
924ce0006f0303761422a873aa0c8d201fcf41b9
286
py
Python
pyCHNOSZ/__init__.py
worm-portal/pyCHNOSZ
c00370557abcdea84bdf14aa3f5d6dfe12475fba
[ "MIT" ]
null
null
null
pyCHNOSZ/__init__.py
worm-portal/pyCHNOSZ
c00370557abcdea84bdf14aa3f5d6dfe12475fba
[ "MIT" ]
null
null
null
pyCHNOSZ/__init__.py
worm-portal/pyCHNOSZ
c00370557abcdea84bdf14aa3f5d6dfe12475fba
[ "MIT" ]
null
null
null
from .fun import subcrt, info, add_OBIGT, mod_OBIGT, reset, basis, species, affinity, equilibrate, diagram, seq2aa, add_protein, entropy, zc, mass, makeup, thermo, water, diagram_interactive, animation, html_chemname_format, unicurve, univariant_TP, syslab, ratlab, retrieve, solubility
286
286
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1
286
286
0.863813
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true
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1
0
1
0
0
5
2b9de7919311f1a26c867bbc789fcbab3c202d4c
223
py
Python
Exercicios07_MediaAritimetica.py
icarogoggin/Exercitando_python
718193e962cfcceebee0a643dd48e521ecda1133
[ "MIT" ]
null
null
null
Exercicios07_MediaAritimetica.py
icarogoggin/Exercitando_python
718193e962cfcceebee0a643dd48e521ecda1133
[ "MIT" ]
null
null
null
Exercicios07_MediaAritimetica.py
icarogoggin/Exercitando_python
718193e962cfcceebee0a643dd48e521ecda1133
[ "MIT" ]
null
null
null
nota1 = float(input('Primeira nota do aluno: ')) nota2 = float(input('Segunda nota do aluno: ')) media = nota1/nota2 print(f'A primeira nota do aluno foi {nota1} a segunda nota foi {nota2} e a média final foi {media:.2f}.')
55.75
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0.70852
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223
4.157895
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0.113924
0.208861
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0
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0.037037
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2ba8781330f1afa9e1e955c19bee42e50635e548
360
pyde
Python
Tasks/Nesterenko_2_4/Nesterenko_2_4.pyde
Rubeuz/2019-fall-polytech-cs
3efa8a5d6d0fee3bdadf77fa95fe2817a6b945c4
[ "MIT" ]
null
null
null
Tasks/Nesterenko_2_4/Nesterenko_2_4.pyde
Rubeuz/2019-fall-polytech-cs
3efa8a5d6d0fee3bdadf77fa95fe2817a6b945c4
[ "MIT" ]
null
null
null
Tasks/Nesterenko_2_4/Nesterenko_2_4.pyde
Rubeuz/2019-fall-polytech-cs
3efa8a5d6d0fee3bdadf77fa95fe2817a6b945c4
[ "MIT" ]
null
null
null
def setup(): noLoop() size(500, 500) noStroke() smooth() def draw(): background(50) fill(94, 206, 40, 100) ellipse(250, 100, 160, 160) fill(94, 206, 40, 150) ellipse(250, 200, 160, 160) fill(94, 206, 40, 200) ellipse(250, 300, 160, 160) fill(94, 206, 40, 250) ellipse(250, 400, 160, 160)
18
31
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360
3.634615
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0.190476
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360
19
32
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5
2bbe43004db365f2cf8a84cf93529ccc9c34a247
957
py
Python
src/inquirer/__init__.py
philipbergen/python-inquirer
f32aed731d74f0f32c15ba949137dee73d023146
[ "MIT" ]
null
null
null
src/inquirer/__init__.py
philipbergen/python-inquirer
f32aed731d74f0f32c15ba949137dee73d023146
[ "MIT" ]
null
null
null
src/inquirer/__init__.py
philipbergen/python-inquirer
f32aed731d74f0f32c15ba949137dee73d023146
[ "MIT" ]
null
null
null
from inquirer.prompt import prompt from inquirer.questions import Checkbox from inquirer.questions import Confirm from inquirer.questions import Editor from inquirer.questions import List from inquirer.questions import Password from inquirer.questions import Path from inquirer.questions import Text from inquirer.questions import load_from_dict from inquirer.questions import load_from_json from inquirer.questions import load_from_list from inquirer.shortcuts import checkbox from inquirer.shortcuts import confirm from inquirer.shortcuts import editor from inquirer.shortcuts import list_input from inquirer.shortcuts import password from inquirer.shortcuts import text __all__ = [ "prompt", "Text", "Editor", "Password", "Confirm", "List", "Checkbox", "Path", "load_from_list", "load_from_dict", "load_from_json", "text", "editor", "password", "confirm", "list_input", "checkbox", ]
24.538462
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0.759666
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957
6.059829
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0.380818
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5
2be10ab4208b2d3947378f644161e0ceaa063c87
7,293
py
Python
python_modules/dagster-pandas/dagster_pandas_tests/test_config_driven_df.py
vishvananda/dagster
f6aa44714246bc770fe05a9c986fe8b7d848956b
[ "Apache-2.0" ]
null
null
null
python_modules/dagster-pandas/dagster_pandas_tests/test_config_driven_df.py
vishvananda/dagster
f6aa44714246bc770fe05a9c986fe8b7d848956b
[ "Apache-2.0" ]
null
null
null
python_modules/dagster-pandas/dagster_pandas_tests/test_config_driven_df.py
vishvananda/dagster
f6aa44714246bc770fe05a9c986fe8b7d848956b
[ "Apache-2.0" ]
null
null
null
from __future__ import unicode_literals import pytest import pandas as pd from dagster import ( DependencyDefinition, InputDefinition, PipelineConfigEvaluationError, PipelineDefinition, OutputDefinition, execute_pipeline, solid, ) from dagster.utils import script_relative_path from dagster.utils.test import get_temp_file_name from dagster_pandas import DataFrame def test_dataframe_csv_from_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_config(_context, df): assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} called['yup'] = True pipeline = PipelineDefinition(solids=[df_as_config]) result = execute_pipeline( pipeline, { 'solids': { 'df_as_config': { 'inputs': {'df': {'csv': {'path': script_relative_path('num.csv')}}} } } }, ) assert result.success assert called['yup'] def test_dataframe_wrong_sep_from_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_config(_context, df): # this is the pandas behavior assert df.to_dict('list') == {'num1,num2': ['1,2', '3,4']} called['yup'] = True pipeline = PipelineDefinition(solids=[df_as_config]) result = execute_pipeline( pipeline, { 'solids': { 'df_as_config': { 'inputs': {'df': {'csv': {'path': script_relative_path('num.csv'), 'sep': '|'}}} } } }, ) assert result.success assert called['yup'] def test_dataframe_pipe_sep_csv_from_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_config(_context, df): assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} called['yup'] = True pipeline = PipelineDefinition(solids=[df_as_config]) result = execute_pipeline( pipeline, { 'solids': { 'df_as_config': { 'inputs': { 'df': {'csv': {'path': script_relative_path('num_pipes.csv'), 'sep': '|'}} } } } }, ) assert result.success assert called['yup'] def test_dataframe_csv_missing_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_input(_context, df): # pylint: disable=W0613 called['yup'] = True pipeline = PipelineDefinition(name='missing_inputs', solids=[df_as_input]) with pytest.raises(PipelineConfigEvaluationError) as exc_info: execute_pipeline(pipeline) assert ( 'Missing required field "solids" at document config root. Expected: "{ context?: ' 'MissingInputs.ContextConfig execution?: MissingInputs.ExecutionConfig ' 'expectations?: MissingInputs.ExpectationsConfig solids: ' 'MissingInputs.SolidsConfigDictionary }"' ) in str(exc_info.value) assert 'yup' not in called def test_dataframe_csv_missing_input_collision(): called = {} @solid(outputs=[OutputDefinition(DataFrame)]) def df_as_output(_context): return pd.DataFrame() @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_input(_context, df): # pylint: disable=W0613 called['yup'] = True pipeline = PipelineDefinition( name='overlapping', solids=[df_as_input, df_as_output], dependencies={'df_as_input': {'df': DependencyDefinition('df_as_output')}}, ) with pytest.raises(PipelineConfigEvaluationError) as exc_info: execute_pipeline( pipeline, { 'solids': { 'df_as_input': { 'inputs': {'df': {'csv': {'path': script_relative_path('num.csv')}}} } } }, ) assert 'Error 1: Undefined field "inputs" at path root:solids:df_as_input' in str( exc_info.value ) assert 'yup' not in called def test_dataframe_parquet_from_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_config(_context, df): assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} called['yup'] = True pipeline = PipelineDefinition(solids=[df_as_config]) result = execute_pipeline( pipeline, { 'solids': { 'df_as_config': { 'inputs': {'df': {'parquet': {'path': script_relative_path('num.parquet')}}} } } }, ) assert result.success assert called['yup'] def test_dataframe_table_from_inputs(): called = {} @solid(inputs=[InputDefinition('df', DataFrame)]) def df_as_config(_context, df): assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} called['yup'] = True pipeline = PipelineDefinition(solids=[df_as_config]) result = execute_pipeline( pipeline, { 'solids': { 'df_as_config': { 'inputs': {'df': {'table': {'path': script_relative_path('num_table.txt')}}} } } }, ) assert result.success assert called['yup'] def test_dataframe_csv_materialization(): @solid(outputs=[OutputDefinition(DataFrame)]) def return_df(_context): return pd.DataFrame({'num1': [1, 3], 'num2': [2, 4]}) pipeline_def = PipelineDefinition(name='return_df_pipeline', solids=[return_df]) with get_temp_file_name() as filename: result = execute_pipeline( pipeline_def, {'solids': {'return_df': {'outputs': [{'result': {'csv': {'path': filename}}}]}}}, ) assert result.success df = pd.read_csv(filename) assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} def test_dataframe_parquet_materialization(): @solid(outputs=[OutputDefinition(DataFrame)]) def return_df(_context): return pd.DataFrame({'num1': [1, 3], 'num2': [2, 4]}) pipeline_def = PipelineDefinition(name='return_df_pipeline', solids=[return_df]) with get_temp_file_name() as filename: result = execute_pipeline( pipeline_def, {'solids': {'return_df': {'outputs': [{'result': {'parquet': {'path': filename}}}]}}}, ) assert result.success df = pd.read_parquet(filename) assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]} def test_dataframe_table_materialization(): @solid(outputs=[OutputDefinition(DataFrame)]) def return_df(_context): return pd.DataFrame({'num1': [1, 3], 'num2': [2, 4]}) pipeline_def = PipelineDefinition(name='return_df_pipeline', solids=[return_df]) with get_temp_file_name() as filename: filename = '/tmp/table_test.txt' result = execute_pipeline( pipeline_def, {'solids': {'return_df': {'outputs': [{'result': {'table': {'path': filename}}}]}}}, ) assert result.success df = pd.read_table(filename) assert df.to_dict('list') == {'num1': [1, 3], 'num2': [2, 4]}
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5
2bf862c7581e56ab5478cffb04c54c240af29acc
95
py
Python
foo.py
ecreager/pocket
98bb63988645f6714ab3307abb265cc7d128f69b
[ "Apache-2.0" ]
null
null
null
foo.py
ecreager/pocket
98bb63988645f6714ab3307abb265cc7d128f69b
[ "Apache-2.0" ]
null
null
null
foo.py
ecreager/pocket
98bb63988645f6714ab3307abb265cc7d128f69b
[ "Apache-2.0" ]
null
null
null
l = [58, 60, 67, 72, 76, 74, 79] s = '[' for ll in l: s += ' %i' % (ll + 9) s += ' ]' print(s)
15.833333
32
0.378947
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95
1.8
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0.305263
95
6
33
15.833333
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false
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0
0
0
0
0
0
0
0
5
9206f1496082e79cf42088b8f82d47a3f038f21b
107
py
Python
general-practice/Exercises solved/w3resource/basic/Exercise78.py
lugabrielbueno/Projeto
f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0
[ "MIT" ]
null
null
null
general-practice/Exercises solved/w3resource/basic/Exercise78.py
lugabrielbueno/Projeto
f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0
[ "MIT" ]
null
null
null
general-practice/Exercises solved/w3resource/basic/Exercise78.py
lugabrielbueno/Projeto
f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0
[ "MIT" ]
null
null
null
# Write a Python program to find the available built-in module import sys print(sys.builtin_module_names)
21.4
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107
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107
5
63
21.4
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5
9208796f9f1c9571609a279e6760b17f3dd42362
65
py
Python
neurotic/gui/icons/__init__.py
jpgill86/neurotic
2f1cba4c7df4f21e32d7c29f5d80c76662372f3b
[ "MIT" ]
26
2019-07-02T12:01:44.000Z
2022-03-09T04:24:12.000Z
neurotic/gui/icons/__init__.py
jpgill86/neurotic
2f1cba4c7df4f21e32d7c29f5d80c76662372f3b
[ "MIT" ]
310
2019-06-22T15:54:51.000Z
2021-11-11T20:01:13.000Z
neurotic/gui/icons/__init__.py
jpgill86/neurotic
2f1cba4c7df4f21e32d7c29f5d80c76662372f3b
[ "MIT" ]
7
2019-11-29T12:58:04.000Z
2021-06-25T10:01:30.000Z
# -*- coding: utf-8 -*- """ """ from ...gui.icons import icons
9.285714
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6
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1
0
0
5
a6118e049339ec7c6498f14df6d191ae2b28d441
85
py
Python
kairon/shared/end_user_metrics/constants.py
rit1200/kairon
674a491f6deeae4800825ca93e0726e4fb6e0866
[ "Apache-2.0" ]
9
2020-04-22T12:49:29.000Z
2020-06-13T22:23:20.000Z
kairon/shared/end_user_metrics/constants.py
rit1200/kairon
674a491f6deeae4800825ca93e0726e4fb6e0866
[ "Apache-2.0" ]
18
2020-04-20T12:39:20.000Z
2020-05-21T05:10:51.000Z
kairon/shared/end_user_metrics/constants.py
rit1200/kairon
674a491f6deeae4800825ca93e0726e4fb6e0866
[ "Apache-2.0" ]
13
2020-04-21T12:12:40.000Z
2020-05-13T07:27:44.000Z
from enum import Enum class MetricTypes(Enum): agent_handoff = "agent_handoff"
14.166667
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85
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a6447308fd4f5a36b096ba81c870badea6a21516
184
py
Python
src/common/ycb/ycb_helper/__init__.py
JonasFrey96/RPOSE
7da77499ab777ce7ee37b731541982870da8d40b
[ "BSD-3-Clause" ]
null
null
null
src/common/ycb/ycb_helper/__init__.py
JonasFrey96/RPOSE
7da77499ab777ce7ee37b731541982870da8d40b
[ "BSD-3-Clause" ]
null
null
null
src/common/ycb/ycb_helper/__init__.py
JonasFrey96/RPOSE
7da77499ab777ce7ee37b731541982870da8d40b
[ "BSD-3-Clause" ]
null
null
null
from .augmenter import Augmentation from .bounding_box import BoundingBox, get_bb_from_depth, get_bb_real_target from .camera import * from .viewpoint_manager import ViewpointManager
30.666667
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184
5
77
36.8
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5
a685281d8adce6d18616c45467e1d7f7a4cdf6e1
162
py
Python
run.py
patarapolw/srs-sqlite
2985d7aed645b50f8a5f13acb7d7a518cf8e50cc
[ "MIT" ]
2
2019-05-09T03:51:00.000Z
2021-05-24T13:24:05.000Z
run.py
patarapolw/srs-sqlite
2985d7aed645b50f8a5f13acb7d7a518cf8e50cc
[ "MIT" ]
null
null
null
run.py
patarapolw/srs-sqlite
2985d7aed645b50f8a5f13acb7d7a518cf8e50cc
[ "MIT" ]
1
2021-10-29T22:15:46.000Z
2021-10-29T22:15:46.000Z
from srs_sqlite import load_srs if __name__ == '__main__': # load_srs('user/PathoKnowledge.db', debug=True) load_srs('user/PathoImages.db', debug=True)
23.142857
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162
4.565217
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0.2
0.209524
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162
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5
a6917cf48892a49e089bee75d9af645f37cd4c93
171
py
Python
python/20190303/Code/flask_todo_app/application/utils/filters.py
Realize0917/career
b5d02ac53cfc3ce3a2ca38d11480c51560283e67
[ "MIT" ]
3
2019-01-17T05:50:51.000Z
2019-03-15T10:10:07.000Z
python/20190303/Code/flask_todo_app/application/utils/filters.py
Realize0917/career
b5d02ac53cfc3ce3a2ca38d11480c51560283e67
[ "MIT" ]
10
2019-01-17T06:07:03.000Z
2019-02-19T05:55:25.000Z
python/20190303/Code/flask_todo_app/application/utils/filters.py
Realize0917/career
b5d02ac53cfc3ce3a2ca38d11480c51560283e67
[ "MIT" ]
4
2018-12-22T07:32:55.000Z
2019-03-06T09:13:48.000Z
from datetime import datetime from . import utils_bp @utils_bp.app_template_filter('human_time') def human_time(dt): return datetime.strftime(dt, '%a, %b %Y %H:%M:%S')
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a6aa81cba47b071d0249d9c14c207183e59c6cb7
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py
Python
Stage/r_log/__init__.py
zuoziji/transaction
7a59817a699d9df32e13d43edda630520af7860d
[ "Apache-2.0" ]
null
null
null
Stage/r_log/__init__.py
zuoziji/transaction
7a59817a699d9df32e13d43edda630520af7860d
[ "Apache-2.0" ]
9
2021-02-08T20:19:53.000Z
2022-03-11T23:16:46.000Z
Stage/r_log/__init__.py
zuoziji/transaction
7a59817a699d9df32e13d43edda630520af7860d
[ "Apache-2.0" ]
2
2019-03-03T14:27:54.000Z
2019-07-22T09:00:35.000Z
from r_log.handlers import RedisHandler, RedisListHandler
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5
a6d73980d9f0437115a34bde795d1e16605ccc05
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py
Python
lib/data/__init__.py
ishine/TextNormSeq2Seq
585b6a7f17910876c76240ff82ee811c66e23104
[ "MIT" ]
36
2019-04-20T15:06:45.000Z
2022-03-03T22:42:57.000Z
lib/data/__init__.py
ishine/TextNormSeq2Seq
585b6a7f17910876c76240ff82ee811c66e23104
[ "MIT" ]
5
2019-06-06T14:48:54.000Z
2021-06-05T15:40:09.000Z
lib/data/__init__.py
ishine/TextNormSeq2Seq
585b6a7f17910876c76240ff82ee811c66e23104
[ "MIT" ]
13
2019-05-11T02:59:54.000Z
2022-03-23T18:24:10.000Z
from .Dataset import Dataset from .constants import * from .DataLoader import DataLoader, create_datasets from .Dict import Dict
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a6dc31e084cb1657b9e60d4f80884e6355106915
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py
Python
test/drafts/2016-10-21_1954 u/a03 numpy.py
friedrichromstedt/upy
4b6b890259fb34bc69265fc400881587157b03a3
[ "MIT" ]
3
2015-06-01T23:09:38.000Z
2015-10-06T13:14:23.000Z
test/drafts/2016-10-21_1954 u/a03 numpy.py
friedrichromstedt/upy
4b6b890259fb34bc69265fc400881587157b03a3
[ "MIT" ]
null
null
null
test/drafts/2016-10-21_1954 u/a03 numpy.py
friedrichromstedt/upy
4b6b890259fb34bc69265fc400881587157b03a3
[ "MIT" ]
null
null
null
import numpy a = numpy.asarray(1) print repr(a) b = a + 0 print repr(b) c = a + numpy.asarray(0) print repr(c) d = numpy.asarray(a + 0) print repr(d)
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a6def61337a25c999e60906fa8d184f5e0480499
12,610
py
Python
apps/logs/tests/test_api_importbatch.py
techlib/czechelib-stats
ca132e326af0924740a525710474870b1fb5fd37
[ "MIT" ]
1
2019-12-12T15:38:42.000Z
2019-12-12T15:38:42.000Z
apps/logs/tests/test_api_importbatch.py
techlib/czechelib-stats
ca132e326af0924740a525710474870b1fb5fd37
[ "MIT" ]
null
null
null
apps/logs/tests/test_api_importbatch.py
techlib/czechelib-stats
ca132e326af0924740a525710474870b1fb5fd37
[ "MIT" ]
null
null
null
import pytest from django.urls import reverse from logs.models import ImportBatch from test_fixtures.entities.credentials import CredentialsFactory from test_fixtures.entities.fetchattempts import FetchAttemptFactory from test_fixtures.entities.logs import ManualDataUploadFactory, ImportBatchFullFactory from test_fixtures.entities.scheduler import FetchIntentionFactory from test_fixtures.scenarios.basic import ( users, report_types, counter_report_types, organizations, platforms, data_sources, clients, identities, credentials, ) # noqa @pytest.mark.django_db class TestImportBatchesAPI: lookup_url = reverse('import-batch-lookup') purge_url = reverse('import-batch-purge') @pytest.fixture() def data( self, report_types, counter_report_types, organizations, platforms, clients, credentials ): FetchIntentionFactory( start_date="2020-01-01", end_date="2020-01-31", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], attempt=FetchAttemptFactory( start_date="2020-01-01", end_date="2020-01-31", error_code="3031", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], import_batch=None, ), ) FetchIntentionFactory( start_date="2020-01-01", end_date="2020-01-31", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], attempt=FetchAttemptFactory( start_date="2020-01-01", end_date="2020-01-31", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], import_batch=ImportBatchFullFactory( date="2020-01-01", organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["tr"], ), ), ) FetchIntentionFactory( start_date="2020-02-01", end_date="2020-02-29", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], attempt=FetchAttemptFactory( start_date="2020-02-01", end_date="2020-02-29", credentials=credentials["standalone_tr"], counter_report=counter_report_types["tr"], import_batch=ImportBatchFullFactory( date="2020-02-01", organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["tr"], ), ), ) FetchIntentionFactory( start_date="2020-02-01", end_date="2020-02-29", credentials=credentials["standalone_br1_jr1"], counter_report=counter_report_types["br1"], attempt=FetchAttemptFactory( start_date="2020-02-01", end_date="2020-02-29", credentials=credentials["standalone_br1_jr1"], counter_report=counter_report_types["br1"], import_batch=ImportBatchFullFactory( date="2020-02-01", organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["br1"], ), ), ) FetchIntentionFactory( start_date="2020-01-01", end_date="2020-01-31", credentials=credentials["branch_pr"], counter_report=counter_report_types["pr"], attempt=FetchAttemptFactory( start_date="2020-01-01", end_date="2020-01-31", credentials=credentials["branch_pr"], counter_report=counter_report_types["pr"], import_batch=ImportBatchFullFactory( date="2020-01-01", organization=organizations["branch"], platform=platforms["branch"], report_type=report_types["pr"], ), ), ) ManualDataUploadFactory( organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["tr"], import_batches=( ImportBatchFullFactory( date="2020-03-01", organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["tr"], ), ImportBatchFullFactory( date="2020-04-01", organization=organizations["standalone"], platform=platforms["standalone"], report_type=report_types["tr"], ), ), ) ManualDataUploadFactory( organization=organizations["branch"], platform=platforms["branch"], report_type=report_types["pr"], import_batches=( ImportBatchFullFactory( date="2020-02-01", organization=organizations["branch"], platform=platforms["branch"], report_type=report_types["pr"], ), ImportBatchFullFactory( date="2020-03-01", organization=organizations["branch"], platform=platforms["branch"], report_type=report_types["pr"], ), ImportBatchFullFactory( date="2020-04-01", organization=organizations["branch"], platform=platforms["branch"], report_type=report_types["pr"], ), ), ) def test_lookup(self, data, clients, organizations, platforms, report_types): # empty lookup resp = clients["su"].post(self.lookup_url, data=[], format="json") assert resp.status_code == 200 assert resp.data == [] resp = clients["su"].post( f"{self.lookup_url}?order_by=date", [ { "organization": organizations["standalone"].pk, "platform": platforms["standalone"].pk, "report_type": report_types["tr"].pk, "months": ["2020-02-01", "2020-03-01"], } ], format="json", ) assert resp.status_code == 200 assert len(resp.data) == 2 assert resp.data[0]["date"] == "2020-02-01" assert resp.data[0]["report_type"]["pk"] == report_types["tr"].pk assert resp.data[0]["organization"]["pk"] == organizations["standalone"].pk assert resp.data[0]["platform"]["pk"] == platforms["standalone"].pk assert not resp.data[0]["mdu"] assert resp.data[0]["sushifetchattempt"] assert resp.data[1]["date"] == "2020-03-01" assert resp.data[1]["report_type"]["pk"] == report_types["tr"].pk assert resp.data[1]["organization"]["pk"] == organizations["standalone"].pk assert resp.data[1]["platform"]["pk"] == platforms["standalone"].pk assert resp.data[1]["mdu"] assert not resp.data[1]["sushifetchattempt"] resp = clients["su"].post( f"{self.lookup_url}?order_by=date", [ { "organization": organizations["standalone"].pk, "platform": platforms["standalone"].pk, "report_type": report_types["br1"].pk, "months": ["2020-01-02", "2020-02-01", "2020-03-01"], }, { "organization": organizations["branch"].pk, "platform": platforms["branch"].pk, "report_type": report_types["pr"].pk, "months": ["2020-03-01"], }, ], format="json", ) assert resp.status_code == 200 assert len(resp.data) == 2 assert resp.data[0]["date"] == "2020-02-01" assert resp.data[0]["report_type"]["pk"] == report_types["br1"].pk assert resp.data[0]["organization"]["pk"] == organizations["standalone"].pk assert resp.data[0]["platform"]["pk"] == platforms["standalone"].pk assert not resp.data[0]["mdu"] assert resp.data[0]["sushifetchattempt"] assert resp.data[1]["date"] == "2020-03-01" assert resp.data[1]["report_type"]["pk"] == report_types["pr"].pk assert resp.data[1]["organization"]["pk"] == organizations["branch"].pk assert resp.data[1]["platform"]["pk"] == platforms["branch"].pk assert resp.data[1]["mdu"] assert not resp.data[1]["sushifetchattempt"] def test_purge(self, data, clients): # simple delete batches = list(ImportBatch.objects.all().order_by('pk').values_list("pk", flat=True)) resp = clients["su"].post(self.purge_url, {"batches": [batches[0]]}, format="json") assert resp.status_code == 200 assert resp.data == { 'logs.AccessLog': 20, 'sushi.SushiFetchAttempt': 2, 'scheduler.FetchIntention': 2, 'logs.ImportBatch': 1, }, "remove ib with fetch attempt (second is 3031)" assert ImportBatch.objects.count() == len(batches) - 1 resp = clients["su"].post(self.purge_url, {"batches": [batches[0]]}, format="json") assert resp.data == {}, "retry same request - nothing deleted" assert ImportBatch.objects.count() == len(batches) - 1 resp = clients["su"].post(self.purge_url, {"batches": [batches[-1]]}, format="json") assert resp.status_code == 200 assert resp.data == { 'logs.AccessLog': 20, 'logs.ImportBatch': 1, 'logs.ManualDataUploadImportBatch': 1, }, "remove ib from mdu" assert ImportBatch.objects.count() == len(batches) - 2 resp = clients["su"].post(self.purge_url, {"batches": batches[-3:]}, format="json") assert resp.status_code == 200 assert resp.data == { 'logs.AccessLog': 40, 'logs.ImportBatch': 2, 'logs.ManualDataUpload': 1, 'logs.ManualDataUploadImportBatch': 2, }, "remove last ibs from mdu" assert ImportBatch.objects.count() == len(batches) - 4 resp = clients["su"].post(self.purge_url, {"batches": batches}, format="json") assert resp.status_code == 200 assert resp.data == { 'logs.AccessLog': 100, 'logs.ImportBatch': 5, 'logs.ManualDataUpload': 1, 'logs.ManualDataUploadImportBatch': 2, 'scheduler.FetchIntention': 3, 'sushi.SushiFetchAttempt': 3, }, "remove rest" assert ImportBatch.objects.count() == 0 def test_lookup_and_purge(self, data, clients, organizations, platforms, report_types): # lookup resp = clients["su"].post( f"{self.lookup_url}?order_by=date", [ { "organization": organizations["standalone"].pk, "platform": platforms["standalone"].pk, "report_type": report_types["br1"].pk, "months": ["2020-01-01", "2020-02-01", "2020-03-01"], }, { "organization": organizations["branch"].pk, "platform": platforms["branch"].pk, "report_type": report_types["pr"].pk, "months": ["2020-01-01", "2020-02-01", "2020-03-01"], }, ], format="json", ) assert resp.status_code == 200 data = resp.data count = ImportBatch.objects.count() resp = clients["su"].post( self.purge_url, {"batches": [e["pk"] for e in data]}, format="json" ) assert resp.status_code == 200 assert resp.data['logs.ImportBatch'] == len(data), "number of deleted ibs" assert ImportBatch.objects.count() == count - len(data), "all ibs were deleted"
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5
4700b96b6015fbe6202a0c9485b1510273e7943a
42
py
Python
lib/dyson/errors/__init__.py
luna-test/luna
6d94439f2747daf96e295837684bdc6607f507dc
[ "Apache-2.0" ]
3
2018-05-21T14:35:11.000Z
2021-03-25T12:32:25.000Z
lib/dyson/errors/__init__.py
dyson-framework/dyson
e5a2e12c7bb0ba21ff274feff34c184576d08ff5
[ "Apache-2.0" ]
13
2018-05-22T01:01:08.000Z
2018-09-16T22:12:10.000Z
lib/dyson/errors/__init__.py
luna-test/luna
6d94439f2747daf96e295837684bdc6607f507dc
[ "Apache-2.0" ]
1
2018-05-21T14:35:17.000Z
2018-05-21T14:35:17.000Z
class DysonError(BaseException): pass
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py
Python
py/desitarget/_version.py
jinyiY/desitarget
546a85a3feb9754a2406ebfb2b9890514f47b3bf
[ "BSD-3-Clause" ]
null
null
null
py/desitarget/_version.py
jinyiY/desitarget
546a85a3feb9754a2406ebfb2b9890514f47b3bf
[ "BSD-3-Clause" ]
null
null
null
py/desitarget/_version.py
jinyiY/desitarget
546a85a3feb9754a2406ebfb2b9890514f47b3bf
[ "BSD-3-Clause" ]
null
null
null
__version__ = '0.34.0.dev3626'
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py
Python
tests/test_utils.py
gomoto/nussl
5ff8899d2da3c7704465d5e9ab7969657ed83263
[ "MIT" ]
null
null
null
tests/test_utils.py
gomoto/nussl
5ff8899d2da3c7704465d5e9ab7969657ed83263
[ "MIT" ]
null
null
null
tests/test_utils.py
gomoto/nussl
5ff8899d2da3c7704465d5e9ab7969657ed83263
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Tests for nussl/utils.py """ import unittest import nussl import numpy as np from scipy import signal class TestUtils(unittest.TestCase): """ """ def test_find_peak_indices(self): array = np.arange(0, 100) peak = nussl.find_peak_indices(array, 1)[0] assert peak == 99 array = np.arange(0, 100).reshape(10, 10) peak = nussl.find_peak_indices(array, 3, min_dist=0) assert peak == [[9, 9], [9, 8], [9, 7]] def test_find_peak_values(self): array = np.arange(0, 100) peak = nussl.find_peak_values(array, 1)[0] assert peak == 99 array = np.arange(0, 100).reshape(10, 10) peak = nussl.find_peak_values(array, 3, min_dist=0) assert peak == [99, 98, 97] def test_add_mismatched_arrays(self): long_array = np.ones((20,)) short_array = np.arange(10) expected_result = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=float) # Test basic cases result = nussl.add_mismatched_arrays(long_array, short_array) assert all(np.equal(result, expected_result)) result = nussl.add_mismatched_arrays(short_array, long_array) assert all(np.equal(result, expected_result)) expected_result = expected_result[:len(short_array)] result = nussl.add_mismatched_arrays(long_array, short_array, truncate=True) assert all(np.equal(result, expected_result)) result = nussl.add_mismatched_arrays(short_array, long_array, truncate=True) assert all(np.equal(result, expected_result)) # Test complex casting short_array = np.arange(10, dtype=complex) expected_result = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=complex) result = nussl.add_mismatched_arrays(long_array, short_array) assert all(np.equal(result, expected_result)) result = nussl.add_mismatched_arrays(short_array, long_array) assert all(np.equal(result, expected_result)) expected_result = expected_result[:len(short_array)] result = nussl.add_mismatched_arrays(long_array, short_array, truncate=True) assert all(np.equal(result, expected_result)) result = nussl.add_mismatched_arrays(short_array, long_array, truncate=True) assert all(np.equal(result, expected_result)) # Test case where arrays are equal length short_array = np.ones((15,)) expected_result = short_array * 2 result = nussl.add_mismatched_arrays(short_array, short_array) assert all(np.equal(result, expected_result)) result = nussl.add_mismatched_arrays(short_array, short_array, truncate=True) assert all(np.equal(result, expected_result))
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py
Python
plasTeX/Packages/rotating.py
perfectbark/LaTex2Docx
e32f9dcc59cce7bea4e7b114687b2300c623d8c0
[ "MIT" ]
23
2019-06-16T06:00:39.000Z
2022-03-29T14:44:32.000Z
plasTeX/Packages/rotating.py
hao-han/LaTex2Docx
e32f9dcc59cce7bea4e7b114687b2300c623d8c0
[ "MIT" ]
null
null
null
plasTeX/Packages/rotating.py
hao-han/LaTex2Docx
e32f9dcc59cce7bea4e7b114687b2300c623d8c0
[ "MIT" ]
12
2019-05-27T06:32:06.000Z
2022-03-15T10:22:07.000Z
#!/usr/bin/env python from plasTeX import Environment class sideways(Environment): def invoke(self, tex): return []
16.25
31
0.684615
16
130
5.5625
0.9375
0
0
0
0
0
0
0
0
0
0
0
0.207692
130
7
32
18.571429
0.864078
0.153846
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.25
0.25
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
5
5b7dae6190608c869c59e1366d9287c6431875eb
609
py
Python
fcl/__init__.py
drewsherlock/python-fcl
e0d094d8b4b53dc7fece48ad125cacd19c8f2e83
[ "BSD-3-Clause" ]
null
null
null
fcl/__init__.py
drewsherlock/python-fcl
e0d094d8b4b53dc7fece48ad125cacd19c8f2e83
[ "BSD-3-Clause" ]
null
null
null
fcl/__init__.py
drewsherlock/python-fcl
e0d094d8b4b53dc7fece48ad125cacd19c8f2e83
[ "BSD-3-Clause" ]
null
null
null
from .fcl import CollisionObject, CollisionGeometry, Transform, TriangleP, Box, Sphere, Ellipsoid, Capsule, Cone, Cylinder, Halfspace, Plane, BVHModel, DynamicAABBTreeCollisionManager, collide, continuousCollide, distance, defaultCollisionCallback, defaultDistanceCallback #,OcTree AS remove for windows from .collision_data import OBJECT_TYPE, NODE_TYPE, CCDMotionType, CCDSolverType, GJKSolverType, Contact, CostSource, CollisionRequest, CollisionResult, ContinuousCollisionRequest, ContinuousCollisionResult, DistanceRequest, DistanceResult, CollisionData, DistanceData from .version import __version__
101.5
304
0.853859
52
609
9.865385
0.884615
0
0
0
0
0
0
0
0
0
0
0
0.085386
609
5
305
121.8
0.921005
0.049261
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
5ba5d7e55736e4a408b38073aba3d9f576aa02f5
106
py
Python
backend/qaa/apps/answer/admin.py
rosscdh/qaa
ef17f8ea7918746dcc43735d49c6229f3e25eba8
[ "MIT" ]
null
null
null
backend/qaa/apps/answer/admin.py
rosscdh/qaa
ef17f8ea7918746dcc43735d49c6229f3e25eba8
[ "MIT" ]
null
null
null
backend/qaa/apps/answer/admin.py
rosscdh/qaa
ef17f8ea7918746dcc43735d49c6229f3e25eba8
[ "MIT" ]
null
null
null
from django.contrib import admin from qaa.apps.answer.models import Answer admin.site.register([Answer])
21.2
41
0.811321
16
106
5.375
0.6875
0
0
0
0
0
0
0
0
0
0
0
0.09434
106
5
42
21.2
0.895833
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
5bf60add54226813b480375245fcb822d68f3e26
149
py
Python
drl_grasping/envs/models/primitives/__init__.py
Tiamat-Tech/drl_grasping
e67efee1cdbeeb3cb1e4d028890bbfc601e7840c
[ "BSD-3-Clause" ]
126
2020-11-02T11:08:07.000Z
2022-03-31T16:25:06.000Z
drl_grasping/envs/models/primitives/__init__.py
Tiamat-Tech/drl_grasping
e67efee1cdbeeb3cb1e4d028890bbfc601e7840c
[ "BSD-3-Clause" ]
68
2020-11-02T13:18:29.000Z
2022-02-27T17:38:50.000Z
drl_grasping/envs/models/primitives/__init__.py
Tiamat-Tech/drl_grasping
e67efee1cdbeeb3cb1e4d028890bbfc601e7840c
[ "BSD-3-Clause" ]
27
2021-01-20T16:15:41.000Z
2022-03-15T10:44:43.000Z
from .box import Box from .cylinder import Cylinder from .sphere import Sphere from .random_primitive import RandomPrimitive from .plane import Plane
29.8
45
0.838926
21
149
5.904762
0.428571
0
0
0
0
0
0
0
0
0
0
0
0.127517
149
5
46
29.8
0.953846
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
f32caf7989b7b8cbebeabb423ad0eaa95c37f0aa
42
py
Python
metasort/exceptions.py
Phelimb/genome-sort
a6343eab0717820e070f51997fcc8481e6af1deb
[ "MIT" ]
4
2015-04-10T18:45:20.000Z
2020-07-20T15:52:31.000Z
metasort/exceptions.py
Phelimb/genome-sort
a6343eab0717820e070f51997fcc8481e6af1deb
[ "MIT" ]
4
2015-04-09T22:48:11.000Z
2015-04-10T19:13:20.000Z
metasort/exceptions.py
Phelimb/genome-sort
a6343eab0717820e070f51997fcc8481e6af1deb
[ "MIT" ]
2
2015-04-10T18:53:23.000Z
2017-11-28T12:26:18.000Z
def AnalysisNotFound(Exception): pass
14
32
0.761905
4
42
8
1
0
0
0
0
0
0
0
0
0
0
0
0.166667
42
2
33
21
0.914286
0
0
0
0
0
0
0
0
0
0
0
0
1
0.5
false
0.5
0
0
0.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
5
f364a6eac50b79d1a61a8edcd362e72289ee8175
179
py
Python
fem/utilities/mrsignal/__init__.py
mjredmond/FEMApp
dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8
[ "MIT" ]
1
2019-08-03T21:40:26.000Z
2019-08-03T21:40:26.000Z
fem/utilities/mrsignal/__init__.py
mjredmond/FEMApp
dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8
[ "MIT" ]
null
null
null
fem/utilities/mrsignal/__init__.py
mjredmond/FEMApp
dd8cc53acf80d0a1bb83ce9c89bcfd51e85c6be8
[ "MIT" ]
null
null
null
""" mrsignal Drop in replacement for pyqt signals (mostly). author: Michael Redmond """ from __future__ import print_function, absolute_import from .mrsignal import MrSignal
13.769231
54
0.782123
22
179
6.090909
0.772727
0
0
0
0
0
0
0
0
0
0
0
0.150838
179
12
55
14.916667
0.881579
0.452514
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0.5
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
5
f3b43abd2c03502593dadd4d667fed2950337653
15
py
Python
test-data/python/editor/codeCompletion/noTextOverlap.py
kiteco/intellij-plugin
dc1361bb3da33f4cc2e2b7ea8aeb9fa4c3b6e0ab
[ "BSD-3-Clause" ]
3
2021-11-16T17:01:23.000Z
2021-12-03T21:18:37.000Z
test-data/python/editor/codeCompletion/noTextOverlap.py
kiteco/intellij-plugin
dc1361bb3da33f4cc2e2b7ea8aeb9fa4c3b6e0ab
[ "BSD-3-Clause" ]
null
null
null
test-data/python/editor/codeCompletion/noTextOverlap.py
kiteco/intellij-plugin
dc1361bb3da33f4cc2e2b7ea8aeb9fa4c3b6e0ab
[ "BSD-3-Clause" ]
2
2022-01-18T20:41:13.000Z
2022-02-23T08:17:04.000Z
print(f<caret>)
15
15
0.733333
3
15
3.666667
1
0
0
0
0
0
0
0
0
0
0
0
0
15
1
15
15
0.733333
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
1
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
1
0
5
f3b658bb71706e2d2929983972774c99147f530e
32
py
Python
mydea/posts/decorators/__init__.py
AlvaroRubioGomez/mydea
286bae9bc87f894b30fa3398ab1bf1f1cd8f1929
[ "MIT" ]
null
null
null
mydea/posts/decorators/__init__.py
AlvaroRubioGomez/mydea
286bae9bc87f894b30fa3398ab1bf1f1cd8f1929
[ "MIT" ]
null
null
null
mydea/posts/decorators/__init__.py
AlvaroRubioGomez/mydea
286bae9bc87f894b30fa3398ab1bf1f1cd8f1929
[ "MIT" ]
null
null
null
from .posts import is_post_owner
32
32
0.875
6
32
4.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.09375
32
1
32
32
0.896552
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
5
341ac048ddd76142b896a425c04b446148370821
43
py
Python
flask/demos/run.py
known/python-practice
76bf3bdf749eb46d4f7ae29e88d792e92f7af5e1
[ "MIT" ]
null
null
null
flask/demos/run.py
known/python-practice
76bf3bdf749eb46d4f7ae29e88d792e92f7af5e1
[ "MIT" ]
null
null
null
flask/demos/run.py
known/python-practice
76bf3bdf749eb46d4f7ae29e88d792e92f7af5e1
[ "MIT" ]
null
null
null
from flaskr import app app.run(debug=True)
14.333333
22
0.790698
8
43
4.25
0.875
0
0
0
0
0
0
0
0
0
0
0
0.116279
43
2
23
21.5
0.894737
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
5
34310645187541b55f20bc0d63ac59440b05391e
237
py
Python
customizing_sphinx/node.py
pauleveritt/customizing_sphinx
186de825a3dafbbac69c2b8d60b085dc3a98c659
[ "MIT" ]
5
2019-05-07T16:55:43.000Z
2021-08-14T19:48:14.000Z
customizing_sphinx/node.py
pauleveritt/customizing_sphinx
186de825a3dafbbac69c2b8d60b085dc3a98c659
[ "MIT" ]
6
2020-12-04T17:16:23.000Z
2022-03-02T22:43:40.000Z
customizing_sphinx/node.py
pauleveritt/customizing_sphinx
186de825a3dafbbac69c2b8d60b085dc3a98c659
[ "MIT" ]
null
null
null
from docutils import nodes class helloworld(nodes.Admonition, nodes.Element): pass def visit_helloworld_node(self, node): self.visit_admonition(node) def depart_helloworld_node(self, node): self.depart_admonition(node)
16.928571
50
0.772152
31
237
5.709677
0.451613
0.180791
0.20339
0.248588
0.293785
0
0
0
0
0
0
0
0.14346
237
13
51
18.230769
0.871921
0
0
0
0
0
0
0
0
0
0
0
0
1
0.285714
false
0.142857
0.142857
0
0.571429
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
5
34593a0d28f4ca336177e608cb1920e808b6a0f3
27
py
Python
quick_poll/models/__init__.py
Muthaias/quick-poll
a3de0e4b8bb276e56de812f10679188d6e7062b2
[ "MIT" ]
2
2020-08-08T23:05:19.000Z
2022-03-05T13:31:19.000Z
quick_poll/models/__init__.py
Muthaias/quick-poll
a3de0e4b8bb276e56de812f10679188d6e7062b2
[ "MIT" ]
null
null
null
quick_poll/models/__init__.py
Muthaias/quick-poll
a3de0e4b8bb276e56de812f10679188d6e7062b2
[ "MIT" ]
null
null
null
from .poll_model import db
13.5
26
0.814815
5
27
4.2
1
0
0
0
0
0
0
0
0
0
0
0
0.148148
27
1
27
27
0.913043
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
5
346d4cf8d212b772626c9c5e85a2ed0cc3d56ee8
223
py
Python
Lista PythonBrasil/exer11.py
GlauberGoncalves/Python
cdea025a3b8a0304455e1f8561c1d13e00040d8e
[ "MIT" ]
3
2017-01-29T00:39:31.000Z
2017-06-16T18:53:36.000Z
Lista PythonBrasil/exer11.py
GlauberGoncalves/Python
cdea025a3b8a0304455e1f8561c1d13e00040d8e
[ "MIT" ]
null
null
null
Lista PythonBrasil/exer11.py
GlauberGoncalves/Python
cdea025a3b8a0304455e1f8561c1d13e00040d8e
[ "MIT" ]
null
null
null
int1 = int(input('informe o inteiro 1 ')) int2 = int(input('informe o inteiro 2 ')) real = float(input('informe o real ')) print('a %2.f' %((int1*2)*(int2/2))) print('b %2.f' %((int1*3)+(real))) print('c %2.f' %(real**3))
27.875
41
0.58296
41
223
3.170732
0.414634
0.276923
0.3
0.246154
0.353846
0
0
0
0
0
0
0.072539
0.134529
223
7
42
31.857143
0.601036
0
0
0
0
0
0.327354
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
5
cab653ed0062a304b7e91bd38dc136ae320ecfcc
2,926
py
Python
xndtools/kernel_generator/tests/test_test_mixed.py
costrouc/xndtools
b2c050db3a01f221195f47e6125bec6e1240d5ea
[ "BSD-3-Clause" ]
null
null
null
xndtools/kernel_generator/tests/test_test_mixed.py
costrouc/xndtools
b2c050db3a01f221195f47e6125bec6e1240d5ea
[ "BSD-3-Clause" ]
null
null
null
xndtools/kernel_generator/tests/test_test_mixed.py
costrouc/xndtools
b2c050db3a01f221195f47e6125bec6e1240d5ea
[ "BSD-3-Clause" ]
null
null
null
import pytest from xndtools.kernel_generator.utils import NormalizedTypeMap long_t = NormalizedTypeMap()('long') from xnd import xnd try: import test_mixed as m skip_reason = None except Exception as msg: m = None skip_reason = f'Failed to import test_mixed: {msg}' print(skip_reason) print(dir(m)) def unpack(x): if isinstance(x, xnd): return str(x.type), x.value if isinstance(x, tuple): return tuple(map(unpack, x)) return x def assert_equal(x, y): assert unpack(x) == unpack(y) @pytest.mark.skipif(m is None, reason=skip_reason) def test_mixed_matrices_CF_inout(): a = xnd([[10,20], [30,40]], type=f'2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'!2 * 2 * {long_t}') r = m.test_mixed_matrices_inout_CF(a, b) assert_equal(r, xnd(26, type=long_t)) a = xnd([[10,20], [30,40]], type=f'!2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'2 * 2 * {long_t}') with pytest.raises(ValueError, match=r'.* must be C-contiguous .*'): r = m.test_mixed_matrices_inout_CF(a, b) a = xnd([[10,20], [30,40]], type=f'2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'2 * 2 * {long_t}') with pytest.raises(ValueError, match=r'.* must be F-contiguous .*'): r = m.test_mixed_matrices_inout_CF(a, b) @pytest.mark.skipif(m is None, reason=skip_reason) def test_mixed_matrices_FC_inout(): a = xnd([[10,20], [30,40]], type=f'!2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'2 * 2 * {long_t}') r = m.test_mixed_matrices_inout_FC(a, b) assert_equal(r, xnd(37, type=long_t)) @pytest.mark.skipif(m is None, reason=skip_reason) def test_mixed_matrices_CC_inout(): a = xnd([[10,20], [30,40]], type=f'2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'2 * 2 * {long_t}') r = m.test_mixed_matrices_inout_CC(a, b) assert_equal(r, xnd(27, type=long_t)) a = xnd([[10,20], [30,40]], type=f'!2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'!2 * 2 * {long_t}') with pytest.raises(ValueError, match=r'.* must be C-contiguous .*'): r = m.test_mixed_matrices_inout_CC(a, b) @pytest.mark.skipif(m is None, reason=skip_reason) def test_mixed_matrices_FF_inout(): a = xnd([[10,20], [30,40]], type=f'!2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'!2 * 2 * {long_t}') r = m.test_mixed_matrices_inout_FF(a, b) assert_equal(r, xnd(36, type=long_t)) a = xnd([[10,20], [30,40]], type=f'2 * 2 * {long_t}') b = xnd([[5,6], [7,8]], type=f'2 * 2 * {long_t}') with pytest.raises(ValueError, match=r'.* must be F-contiguous .*'): r = m.test_mixed_matrices_inout_FF(a, b)
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1b0f6d8d5ff136cbb04901554a9b8bec5218e3df
198
py
Python
DGaze/models/__init__.py
CraneHzm/DGaze
1f547256724f0c0ff7c68baac384b510176222a0
[ "MIT" ]
15
2020-02-26T14:09:48.000Z
2022-02-24T09:45:11.000Z
DGaze/models/__init__.py
yangjing628/DGaze
1f547256724f0c0ff7c68baac384b510176222a0
[ "MIT" ]
null
null
null
DGaze/models/__init__.py
yangjing628/DGaze
1f547256724f0c0ff7c68baac384b510176222a0
[ "MIT" ]
7
2020-06-11T02:56:08.000Z
2021-08-20T05:12:46.000Z
__all__ = ['DGazeModels', 'LossFunction', 'weight_init'] from .DGazeModels import DGaze from .LossFunction import HuberLoss from .LossFunction import CustomLoss from .weight_init import weight_init
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267
py
Python
corefunctions/helpers.py
shahoob/downdatube
ed8969b22a10e52bfc7c3c4f8623713fc84a29fc
[ "MIT" ]
null
null
null
corefunctions/helpers.py
shahoob/downdatube
ed8969b22a10e52bfc7c3c4f8623713fc84a29fc
[ "MIT" ]
1
2021-04-12T16:54:59.000Z
2021-04-12T16:54:59.000Z
corefunctions/helpers.py
shahoob/downdatube
ed8969b22a10e52bfc7c3c4f8623713fc84a29fc
[ "MIT" ]
null
null
null
from humanfriendly import format_size from pytube import Stream def map_stream(stream: Stream): return f'{stream.title} | itag: {stream.itag} | {stream.resolution} | {stream.mime_type} | {format_size(stream.filesize)} | is_progressive: {stream.is_progressive}'
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1b753f29ec62eb9352056f9d13f54e14d80ca63b
62
py
Python
testNode.py
saikrishnaakula/DHT
5c6eac6802562537ffd0c472a3b0c33b89d62d35
[ "MIT" ]
null
null
null
testNode.py
saikrishnaakula/DHT
5c6eac6802562537ffd0c472a3b0c33b89d62d35
[ "MIT" ]
null
null
null
testNode.py
saikrishnaakula/DHT
5c6eac6802562537ffd0c472a3b0c33b89d62d35
[ "MIT" ]
null
null
null
from node import Node import sys client = Node(sys.argv[1],0)
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1b909183e33161918099dea357d82d29f739994e
88
py
Python
moto/core/__init__.py
EvaSDK/moto
8095f31772fb144f2045c0991f4c8ed17f324b91
[ "Apache-2.0" ]
1
2021-03-06T22:01:41.000Z
2021-03-06T22:01:41.000Z
moto/core/__init__.py
EvaSDK/moto
8095f31772fb144f2045c0991f4c8ed17f324b91
[ "Apache-2.0" ]
2
2016-07-01T03:43:37.000Z
2016-07-18T19:38:06.000Z
moto/core/__init__.py
EvaSDK/moto
8095f31772fb144f2045c0991f4c8ed17f324b91
[ "Apache-2.0" ]
1
2017-10-19T00:53:28.000Z
2017-10-19T00:53:28.000Z
from __future__ import unicode_literals from .models import BaseBackend # flake8: noqa
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py
Python
neuron/modules/testplugin.py
tomforge/Neuron
21278d125c9c507319ea01366eb44e46646e0926
[ "Apache-2.0" ]
null
null
null
neuron/modules/testplugin.py
tomforge/Neuron
21278d125c9c507319ea01366eb44e46646e0926
[ "Apache-2.0" ]
21
2018-05-14T15:32:42.000Z
2018-07-22T06:36:38.000Z
neuron/modules/testplugin.py
tomforge/Neuron
21278d125c9c507319ea01366eb44e46646e0926
[ "Apache-2.0" ]
null
null
null
class TestPlugin: pass
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py
Python
setup.py
KaiyanD/Data_Generator
6262b1e3632d7438c041f2ee29464f76b8fb2c05
[ "MIT" ]
null
null
null
setup.py
KaiyanD/Data_Generator
6262b1e3632d7438c041f2ee29464f76b8fb2c05
[ "MIT" ]
null
null
null
setup.py
KaiyanD/Data_Generator
6262b1e3632d7438c041f2ee29464f76b8fb2c05
[ "MIT" ]
null
null
null
import os from setuptools import setup def path(): return os.path.dirname(__file__) #return os.getcwd() '''setup( name='TestDataGenerator', # Versions should comply with PEP440. For a discussion on single-sourcing # the version across setup.py and the project code, see # https://packaging.python.org/en/latest/single_source_version.html version='1.0', description='A python project to create test data', long_description='A python project to create test data', # The project's main homepage. url='https://bitbucket.coke.com/projects/NSR/repos/testdatageneration/browse', # Author details author='Capgemini Americas Inc.', author_email='@capgemini.com', # Choose your license license='Capgemini Americas Inc', # See https://pypi.python.org/pypi?%3Aaction=list_classifiers classifiers=[ # How mature is this project? Common values are # 3 - Alpha # 4 - Beta # 5 - Production/Stable 'Development Status :: 3 - Alpha', # Indicate who your project is intended for 'Intended Audience :: Developers and Ops team', 'Topic :: Software Development :: Build Tools', # Pick your license as you wish (should match "license" above) 'License :: Approved :: Capgemini Americas Inc', # Specify the Python versions you support here. In particular, ensure # that you indicate whether you support Python 2, Python 3 or both. 'Programming Language :: Python :: 3.5', ], # What does your project relate to? keywords='sample test data generator', # To provide executable scripts, use entry points in preference to the # "scripts" keyword. Entry points provide cross-platform support and allow # pip to create the appropriate form of executable for the target platform. scripts = ['src/main'], )'''
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944178932042aac7994f78391014ad8984dc8805
141
py
Python
genesis/deepgenesis/visualization/visualization.py
EmersonAlvaro/genesis
7e4b32320c45ee48983a9869fba3bc75686a4e76
[ "MIT" ]
null
null
null
genesis/deepgenesis/visualization/visualization.py
EmersonAlvaro/genesis
7e4b32320c45ee48983a9869fba3bc75686a4e76
[ "MIT" ]
null
null
null
genesis/deepgenesis/visualization/visualization.py
EmersonAlvaro/genesis
7e4b32320c45ee48983a9869fba3bc75686a4e76
[ "MIT" ]
null
null
null
from matplotlib import pyplot as plt from dataset.dataset import DataSet class Visualization(DataSet): def __init__(self): pass
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7
37
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5
946c0e7d08c29f4110dae8f5626c64ddfb0312de
116
py
Python
my_notes/ex127/setup.py
ivalderrama/packt_python_workshop
48ba82eb9d16c59565a392d515b2cf1c9ec95058
[ "MIT" ]
null
null
null
my_notes/ex127/setup.py
ivalderrama/packt_python_workshop
48ba82eb9d16c59565a392d515b2cf1c9ec95058
[ "MIT" ]
null
null
null
my_notes/ex127/setup.py
ivalderrama/packt_python_workshop
48ba82eb9d16c59565a392d515b2cf1c9ec95058
[ "MIT" ]
null
null
null
from distutils.core import setup from Cython.Build import cythonize setup(ext_modules=cythonize("sieve_module.py"))
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4
47
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9477504e5766f6a6b9ce5234b3863b8b8da9d90b
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py
Python
appinsights_telemetry_logger/__init__.py
chaosmail/appinsights-telemetry-python
88f7b9cdf95e9702a52c89b90b7b1d551814e9f6
[ "MIT" ]
1
2020-11-23T10:27:36.000Z
2020-11-23T10:27:36.000Z
appinsights_telemetry_logger/__init__.py
chaosmail/appinsights-telemetry-python
88f7b9cdf95e9702a52c89b90b7b1d551814e9f6
[ "MIT" ]
null
null
null
appinsights_telemetry_logger/__init__.py
chaosmail/appinsights-telemetry-python
88f7b9cdf95e9702a52c89b90b7b1d551814e9f6
[ "MIT" ]
null
null
null
from .command_line import *
14
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5
846779782373eba84c7df94e4e9808ecd275377e
3,634
py
Python
src/projects/workers/readability.py
firewut/data-transform-pipelines-api
c62a7aa5fd57102fa67cf715dc78c3365b739925
[ "MIT" ]
2
2019-01-09T07:42:17.000Z
2021-08-25T02:43:47.000Z
src/projects/workers/readability.py
firewut/data-transform-pipelines-api
c62a7aa5fd57102fa67cf715dc78c3365b739925
[ "MIT" ]
null
null
null
src/projects/workers/readability.py
firewut/data-transform-pipelines-api
c62a7aa5fd57102fa67cf715dc78c3365b739925
[ "MIT" ]
null
null
null
from readability import Document from projects.workers.base import Worker class Readability(Worker): id = 'readability' name = 'readability' image = 'data:image/png;base64,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' description = 'Makes an html readable' schema = { "type": "object", "properties": { "in": { "type": "string", "description": "html to make readable" }, "out": { "type": "object", "description": "output data", "properties": { "title": { "type": "string", "description": "cleaned title" }, "content": { "type": "string", "description": "cleaned content" } } } } } def process(self, data): doc = Document(data) return { 'title': doc.short_title(), 'content': doc.summary() }
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5
84a8ac381ee40e3aa3177cb8a68bd6d69cb711ee
36
py
Python
tests/test_plugboard/__init__.py
axevalley/enigma
fdfa5a85dbd4675f195e00e4b7e22d976a3d9015
[ "MIT" ]
null
null
null
tests/test_plugboard/__init__.py
axevalley/enigma
fdfa5a85dbd4675f195e00e4b7e22d976a3d9015
[ "MIT" ]
28
2019-07-30T16:15:52.000Z
2022-03-14T19:14:25.000Z
tests/test_plugboard/__init__.py
lukeshiner/enigma
917066c8f33f67b43f092800ba46220d107f622b
[ "MIT" ]
null
null
null
"""Tests for Enigma's plugboard."""
18
35
0.666667
5
36
4.8
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0.111111
36
1
36
36
0.75
0.805556
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null
0
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1
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true
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null
null
1
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0
0
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0
0
5
84cd9cc43de91ba016be1ff1a6043bb1d8aa1c58
62
py
Python
nettowel/cli/_output.py
InfrastructureAsCode-ch/nettowel
1b14ae7d253d1c9435a3c18a65078122fb4965dd
[ "Apache-2.0" ]
1
2022-02-22T12:05:42.000Z
2022-02-22T12:05:42.000Z
nettowel/cli/_output.py
InfrastructureAsCode-ch/nettowel
1b14ae7d253d1c9435a3c18a65078122fb4965dd
[ "Apache-2.0" ]
null
null
null
nettowel/cli/_output.py
InfrastructureAsCode-ch/nettowel
1b14ae7d253d1c9435a3c18a65078122fb4965dd
[ "Apache-2.0" ]
null
null
null
from rich.columns import Columns from rich.panel import Panel
20.666667
32
0.83871
10
62
5.2
0.5
0.307692
0
0
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0.129032
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2
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31
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5
84e6687763d363aa51d0c1f333e2e65ef3b9a677
2,468
py
Python
hpe_networking/comware_7_netconf/comware_netconf.py
net-auto/automation-tools
0c6b902d3133ac01bbe879bfae893e84b7123d4b
[ "MIT" ]
null
null
null
hpe_networking/comware_7_netconf/comware_netconf.py
net-auto/automation-tools
0c6b902d3133ac01bbe879bfae893e84b7123d4b
[ "MIT" ]
null
null
null
hpe_networking/comware_7_netconf/comware_netconf.py
net-auto/automation-tools
0c6b902d3133ac01bbe879bfae893e84b7123d4b
[ "MIT" ]
null
null
null
""" netconf functions for use with comware 7 devices """ # imports: import xmltodict def get_irf_members(ncclient_manager_ref): """ :param ncclient_manager_ref: ncclient manager reference: :return: Current IRF members """ filter_criteria = ''' <top xmlns="http://www.hp.com/netconf/config:1.0"> <IRF> <Members></Members> </IRF> </top> ''' # get-config RPC against the running datastore using a subtree filter reply = ncclient_manager_ref.get_config('running', filter=('subtree', filter_criteria)) data = xmltodict.parse(reply.data_xml) if data.get('data').get('top'): return data.get('data')['top']['IRF']['Members']['Member'] else: return f'no IRF members data found!' def get_irf_interfaces(ncclient_manager_ref): """ :param ncclient_manager_ref: ncclient manager reference :return: Current IRF interfaces """ filter_criteria = ''' <top xmlns="http://www.hp.com/netconf/config:1.0"> <IRF> <IRFPorts></IRFPorts> </IRF> </top> ''' # get-config RPC against the running datastore using a subtree filter reply = ncclient_manager_ref.get_config('running', filter=('subtree', filter_criteria)) data = xmltodict.parse(reply.data_xml) if data.get('data').get('top'): return data.get('data')['top']['IRF']['IRFPorts']['IRFPort'] else: return f'no IRF interfaces data found!' def get_vlans(ncclient_manager_ref): """ :param ncclient_manager_ref: ncclient manager reference :return: Current VLANs configured """ filter_criteria = ''' <top xmlns="http://www.hp.com/netconf/config:1.0"> <VLAN> <VLANs></VLANs> </VLAN> </top> ''' # get-config RPC against the running datastore using a subtree filter reply = ncclient_manager_ref.get_config('running', filter=('subtree', filter_criteria)) # reply = ncclient_manager_ref.action(filter_criteria) data = xmltodict.parse(reply.data_xml) if data.get('data').get('top'): return data.get('data')['top']['VLAN']['VLANs'] else: return f'no VLANs data found!'
31.240506
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2,468
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0.214815
0.144124
0.133038
0.067997
0.765706
0.742055
0.742055
0.742055
0.742055
0.742055
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0.307131
2,468
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5
1702ec4726305e4e18d3f9124c49c98e4cb75d1a
20
py
Python
Codes/LoadSave.py
SotirisSapakos/Text-Based-RPG
44e474effba29493873acbbff85eef2bf24d5160
[ "MIT" ]
null
null
null
Codes/LoadSave.py
SotirisSapakos/Text-Based-RPG
44e474effba29493873acbbff85eef2bf24d5160
[ "MIT" ]
1
2018-07-13T11:36:41.000Z
2018-07-13T11:36:41.000Z
Codes/LoadSave.py
SotirisSapakos/Text-Based-RPG
44e474effba29493873acbbff85eef2bf24d5160
[ "MIT" ]
14
2018-07-01T14:11:05.000Z
2021-06-26T01:03:43.000Z
# Save and load fuct
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20
0.75
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20
3.75
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true
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5
ca057e9455e6f1b71a26b909ae5af7c54bc72ad1
33
py
Python
project/api/common/__init__.py
hernan0216/flask-base-api
bc020e6880575fb6fea4cd1de30114ce1403b84e
[ "MIT" ]
46
2018-05-28T13:21:09.000Z
2022-03-01T09:15:52.000Z
project/api/common/__init__.py
hernan0216/flask-base-api
bc020e6880575fb6fea4cd1de30114ce1403b84e
[ "MIT" ]
7
2019-03-20T10:12:23.000Z
2021-09-04T01:12:53.000Z
project/api/common/__init__.py
hernan0216/flask-base-api
bc020e6880575fb6fea4cd1de30114ce1403b84e
[ "MIT" ]
21
2018-09-26T08:04:28.000Z
2022-03-28T00:38:29.000Z
# project/api/common/__init__.py
16.5
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0.787879
5
33
4.4
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1
33
33
0.709677
0.909091
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null
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1
null
true
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5
ca1a66e823bca39ef07b7177bd411bd2f3b6c199
47
py
Python
skbonus/pandas/tests/__init__.py
Garve/scikit-bonus
46c985c6f2c0b371b031977592b23cf0e28c46e3
[ "BSD-3-Clause" ]
8
2021-02-04T13:54:43.000Z
2021-12-26T16:50:31.000Z
skbonus/pandas/tests/__init__.py
JoshuaC3/scikit-bonus
3300427e7ada4c03937b4714dd1bc3033d1c1fff
[ "BSD-3-Clause" ]
3
2021-03-01T15:27:21.000Z
2021-07-31T16:14:27.000Z
skbonus/pandas/tests/__init__.py
JoshuaC3/scikit-bonus
3300427e7ada4c03937b4714dd1bc3033d1c1fff
[ "BSD-3-Clause" ]
2
2021-02-13T20:16:48.000Z
2021-04-07T07:29:06.000Z
"""Module for testing the pandas submodule."""
23.5
46
0.723404
6
47
5.666667
1
0
0
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0.12766
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1
47
47
0.829268
0.851064
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null
true
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0
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0
5
ca3b9235f7705e4fe8c68ddc24b8bbc2842d264d
278
py
Python
memser/test_classes.py
mrbahrani/memser
f5a8f671e71e98cadb0e65da49c8de2f98099ade
[ "MIT" ]
null
null
null
memser/test_classes.py
mrbahrani/memser
f5a8f671e71e98cadb0e65da49c8de2f98099ade
[ "MIT" ]
null
null
null
memser/test_classes.py
mrbahrani/memser
f5a8f671e71e98cadb0e65da49c8de2f98099ade
[ "MIT" ]
null
null
null
class Simple(object): def __init__(self, x): self.x = x self.y = 6 def get_x(self): return self.x class WithCollection(object): def __init__(self): self.l = list() self.d = dict() def get_l(self): return self.l
17.375
29
0.535971
39
278
3.564103
0.410256
0.107914
0.18705
0.244604
0
0
0
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0
0.005495
0.345324
278
16
30
17.375
0.758242
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0.333333
false
0
0
0.166667
0.666667
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null
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0
0
0
1
1
0
0
5
ca75b0fad6c795f0545cbbe56a2773ce8ec97f88
5,212
py
Python
sovtokenfees/sovtokenfees/test/view_change/test_vc_reverting_different_batches.py
cam-parra/token-plugin
0919e02f62f56a81ff14ca5838a62bc776d96813
[ "Apache-2.0" ]
null
null
null
sovtokenfees/sovtokenfees/test/view_change/test_vc_reverting_different_batches.py
cam-parra/token-plugin
0919e02f62f56a81ff14ca5838a62bc776d96813
[ "Apache-2.0" ]
null
null
null
sovtokenfees/sovtokenfees/test/view_change/test_vc_reverting_different_batches.py
cam-parra/token-plugin
0919e02f62f56a81ff14ca5838a62bc776d96813
[ "Apache-2.0" ]
null
null
null
import pytest from sovtoken.constants import ADDRESS, AMOUNT from plenum.common.txn_util import get_seq_no from plenum.test import waits from plenum.test.stasher import delay_rules, delay_rules_without_processing from plenum.test.delayers import cDelay from sovtokenfees.test.helper import get_amount_from_token_txn, send_and_check_nym_with_fees, send_and_check_transfer, \ ensure_all_nodes_have_same_data from stp_core.loop.eventually import eventually from plenum.test.helper import assertExp, sdk_get_and_check_replies from plenum.test.view_change.helper import ensure_view_change from plenum.common.startable import Mode @pytest.fixture() def addresses(helpers): return helpers.wallet.create_new_addresses(2) @pytest.fixture() def mint_tokens(helpers, addresses): outputs = [{ADDRESS: addresses[0], AMOUNT: 1000}] return helpers.general.do_mint(outputs) @pytest.mark.skip(reason="ST-537") def test_revert_works_for_fees_after_view_change(looper, helpers, nodeSetWithIntegratedTokenPlugin, sdk_pool_handle, fees_set, mint_tokens, addresses, fees): node_set = nodeSetWithIntegratedTokenPlugin current_amount = get_amount_from_token_txn(mint_tokens) seq_no = get_seq_no(mint_tokens) reverted_node = nodeSetWithIntegratedTokenPlugin[-1] current_amount, seq_no, _ = send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount) current_amount, seq_no, _ = send_and_check_transfer(helpers, addresses, fees, looper, current_amount, seq_no) with delay_rules_without_processing(reverted_node.nodeIbStasher, cDelay()): len_batches_before = len(reverted_node.master_replica.batches) current_amount, seq_no, _ = send_and_check_transfer(helpers, addresses, fees, looper, current_amount, seq_no) current_amount, seq_no, _ = send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount) looper.runFor(waits.expectedPrePrepareTime(len(nodeSetWithIntegratedTokenPlugin))) len_batches_after = len(reverted_node.master_replica.batches) """ Checks, that we have a 2 new batches """ assert len_batches_after - len_batches_before == 2 for n in node_set: n.view_changer.on_master_degradation() ensure_view_change(looper, nodeSetWithIntegratedTokenPlugin) looper.run(eventually(lambda: assertExp(reverted_node.mode == Mode.participating))) ensure_all_nodes_have_same_data(looper, node_set) send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount) ensure_all_nodes_have_same_data(looper, node_set) @pytest.mark.skip(reason="ST-537") def test_revert_for_all_after_view_change(looper, helpers, nodeSetWithIntegratedTokenPlugin, sdk_pool_handle, fees_set, mint_tokens, addresses, fees): node_set = nodeSetWithIntegratedTokenPlugin current_amount = get_amount_from_token_txn(mint_tokens) seq_no = get_seq_no(mint_tokens) reverted_node = nodeSetWithIntegratedTokenPlugin[-1] current_amount, seq_no, _ = send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount) current_amount, seq_no, _ = send_and_check_transfer(helpers, addresses, fees, looper, current_amount, seq_no) with delay_rules([n.nodeIbStasher for n in node_set], cDelay()): len_batches_before = len(reverted_node.master_replica.batches) current_amount, seq_no, resp1 = send_and_check_transfer(helpers, addresses, fees, looper, current_amount, seq_no, check_reply=False) current_amount, seq_no, resp2 = send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount, check_reply=False) looper.runFor(waits.expectedPrePrepareTime(len(nodeSetWithIntegratedTokenPlugin))) len_batches_after = len(reverted_node.master_replica.batches) """ Checks, that we have a 2 new batches """ assert len_batches_after - len_batches_before == 2 for n in node_set: n.view_changer.on_master_degradation() ensure_view_change(looper, nodeSetWithIntegratedTokenPlugin) looper.run(eventually(lambda: assertExp(reverted_node.mode == Mode.participating))) ensure_all_nodes_have_same_data(looper, node_set) sdk_get_and_check_replies(looper, resp1) sdk_get_and_check_replies(looper, resp2) send_and_check_nym_with_fees(helpers, fees_set, seq_no, looper, addresses, current_amount) ensure_all_nodes_have_same_data(looper, node_set)
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ca85cc5644f8b81c713392cb57a5c53d34a65f26
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py
Python
tests/orders/generic_test.py
aero-nerd/tda-api
e84d8f0d3b7ef54878f4f1d6926238b53e15f3c7
[ "MIT" ]
null
null
null
tests/orders/generic_test.py
aero-nerd/tda-api
e84d8f0d3b7ef54878f4f1d6926238b53e15f3c7
[ "MIT" ]
null
null
null
tests/orders/generic_test.py
aero-nerd/tda-api
e84d8f0d3b7ef54878f4f1d6926238b53e15f3c7
[ "MIT" ]
null
null
null
import unittest from tda.orders.generic import * from tda.orders.common import * from tests.test_utils import has_diff, no_duplicates class OrderBuilderTest(unittest.TestCase): def setUp(self): self.maxDiff = None self.order_builder = OrderBuilder() ########################################################################## # Session @no_duplicates def test_session_success(self): self.order_builder.set_session(Session.NORMAL) self.assertFalse(has_diff({ 'session': 'NORMAL' }, self.order_builder.build())) self.order_builder.clear_session() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_session_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_session('NORMAL') @no_duplicates def test_session_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_session('NORMAL') self.assertFalse(has_diff({ 'session': 'NORMAL' }, self.order_builder.build())) ########################################################################## # Duration @no_duplicates def test_duration_success(self): self.order_builder.set_duration(Duration.DAY) self.assertFalse(has_diff({ 'duration': 'DAY' }, self.order_builder.build())) self.order_builder.clear_duration() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_duration_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_duration('DAY') @no_duplicates def test_duration_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_duration('DAY') self.assertFalse(has_diff({ 'duration': 'DAY' }, self.order_builder.build())) ########################################################################## # OrderType @no_duplicates def test_order_type_success(self): self.order_builder.set_order_type(OrderType.MARKET) self.assertFalse(has_diff({ 'orderType': 'MARKET' }, self.order_builder.build())) self.order_builder.clear_order_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_order_type_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_order_type('MARKET') @no_duplicates def test_order_type_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_order_type('MARKET') self.assertFalse(has_diff({ 'orderType': 'MARKET' }, self.order_builder.build())) ########################################################################## # ComplexOrderStrategyType @no_duplicates def test_complex_order_strategy_type_success(self): self.order_builder.set_complex_order_strategy_type( ComplexOrderStrategyType.IRON_CONDOR) self.assertFalse(has_diff({ 'complexOrderStrategyType': 'IRON_CONDOR' }, self.order_builder.build())) self.order_builder.clear_complex_order_strategy_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test__wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_complex_order_strategy_type('IRON_CONDOR') @no_duplicates def test__wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_complex_order_strategy_type('IRON_CONDOR') self.assertFalse(has_diff({ 'complexOrderStrategyType': 'IRON_CONDOR' }, self.order_builder.build())) ########################################################################## # Quantity @no_duplicates def test_quantity_success(self): self.order_builder.set_quantity(12) self.assertFalse(has_diff({ 'quantity': 12 }, self.order_builder.build())) self.order_builder.clear_quantity() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_quantity_negative(self): with self.assertRaises(ValueError): self.order_builder.set_quantity(-12) @no_duplicates def test_quantity_zero(self): with self.assertRaises(ValueError): self.order_builder.set_quantity(0) ########################################################################## # RequestedDestination @no_duplicates def test_requested_destination_success(self): self.order_builder.set_requested_destination(Destination.INET) self.assertFalse(has_diff({ 'requestedDestination': 'INET' }, self.order_builder.build())) self.order_builder.clear_requested_destination() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_requested_destination_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_requested_destination('INET') @no_duplicates def test_requested_destination_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_requested_destination('INET') self.assertFalse(has_diff({ 'requestedDestination': 'INET' }, self.order_builder.build())) ########################################################################## # StopPrice @no_duplicates def test_stop_price_success(self): self.order_builder.set_stop_price(42.90) self.assertFalse(has_diff({ 'stopPrice': '42.90' }, self.order_builder.build())) self.order_builder.clear_stop_price() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_stop_price_negative(self): self.order_builder.set_stop_price(-1.31) self.assertFalse(has_diff({ 'stopPrice': '-1.31' }, self.order_builder.build())) @no_duplicates def test_stop_price_zero(self): self.order_builder.set_stop_price(0) self.assertFalse(has_diff({ 'stopPrice': '0.00' }, self.order_builder.build())) @no_duplicates def test_stop_price_do_not_round_up(self): self.order_builder.set_stop_price(1.99999) self.assertFalse(has_diff({ 'stopPrice': '1.99' }, self.order_builder.build())) @no_duplicates def test_stop_price_do_round_down(self): self.order_builder.set_stop_price(2.00001) self.assertFalse(has_diff({ 'stopPrice': '2.00' }, self.order_builder.build())) ########################################################################## # StopPriceLinkBasis @no_duplicates def test_stop_price_link_basis_success(self): self.order_builder.set_stop_price_link_basis(StopPriceLinkBasis.ASK) self.assertFalse(has_diff({ 'stopPriceLinkBasis': 'ASK' }, self.order_builder.build())) self.order_builder.clear_stop_price_link_basis() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_stop_price_link_basis_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_stop_price_link_basis('ASK') @no_duplicates def test_stop_price_link_basis_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_stop_price_link_basis('ASK') self.assertFalse(has_diff({ 'stopPriceLinkBasis': 'ASK' }, self.order_builder.build())) ########################################################################## # StopPriceLinkType @no_duplicates def test_stop_price_link_type_success(self): self.order_builder.set_stop_price_link_type(StopPriceLinkType.VALUE) self.assertFalse(has_diff({ 'stopPriceLinkType': 'VALUE' }, self.order_builder.build())) self.order_builder.clear_stop_price_link_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_stop_price_link_type_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_stop_price_link_type('VALUE') @no_duplicates def test_stop_price_link_type_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_stop_price_link_type('VALUE') self.assertFalse(has_diff({ 'stopPriceLinkType': 'VALUE' }, self.order_builder.build())) ########################################################################## # StopPriceOffset @no_duplicates def test_stop_price_offset_success(self): self.order_builder.set_stop_price_offset(12.98) self.assertFalse(has_diff({ 'stopPriceOffset': 12.98 }, self.order_builder.build())) self.order_builder.clear_stop_price_offset() self.assertFalse(has_diff({}, self.order_builder.build())) ########################################################################## # StopType @no_duplicates def test_stop_type_success(self): self.order_builder.set_stop_type(StopType.MARK) self.assertFalse(has_diff({ 'stopType': 'MARK' }, self.order_builder.build())) self.order_builder.clear_stop_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_stop_type_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_stop_type('MARK') @no_duplicates def test_stop_type_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_stop_type('MARK') self.assertFalse(has_diff({ 'stopType': 'MARK' }, self.order_builder.build())) ########################################################################## # PriceLinkBasis @no_duplicates def test_price_link_basis_success(self): self.order_builder.set_price_link_basis(PriceLinkBasis.AVERAGE) self.assertFalse(has_diff({ 'priceLinkBasis': 'AVERAGE' }, self.order_builder.build())) self.order_builder.clear_price_link_basis() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_price_link_basis_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_price_link_basis('AVERAGE') @no_duplicates def test_price_link_basis_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_price_link_basis('AVERAGE') self.assertFalse(has_diff({ 'priceLinkBasis': 'AVERAGE' }, self.order_builder.build())) ########################################################################## # PriceLinkType @no_duplicates def test_price_link_type_success(self): self.order_builder.set_price_link_type(PriceLinkType.PERCENT) self.assertFalse(has_diff({ 'priceLinkType': 'PERCENT' }, self.order_builder.build())) self.order_builder.clear_price_link_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_price_link_type_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_price_link_type('PERCENT') @no_duplicates def test_price_link_type_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_price_link_type('PERCENT') self.assertFalse(has_diff({ 'priceLinkType': 'PERCENT' }, self.order_builder.build())) ########################################################################## # Price @no_duplicates def test_price_success(self): self.order_builder.set_price(23.49) self.assertFalse(has_diff({ 'price': '23.49' }, self.order_builder.build())) self.order_builder.clear_price() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_price_negative(self): self.order_builder.set_price(-1.23) self.assertFalse(has_diff({ 'price': '-1.23' }, self.order_builder.build())) @no_duplicates def test_price_zero(self): self.order_builder.set_price(0.0) self.assertFalse(has_diff({ 'price': '0.00' }, self.order_builder.build())) @no_duplicates def test_price_do_not_round_up(self): self.order_builder.set_price(19.9999999) self.assertFalse(has_diff({ 'price': '19.99' }, self.order_builder.build())) @no_duplicates def test_price_do_not_round_down(self): self.order_builder.set_price(20.00000001) self.assertFalse(has_diff({ 'price': '20.00' }, self.order_builder.build())) ########################################################################## # ActivationPrice @no_duplicates def test_activation_price_success(self): self.order_builder.set_activation_price(54.03) self.assertFalse(has_diff({ 'activationPrice': 54.03 }, self.order_builder.build())) self.order_builder.clear_activation_price() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_activation_price_negative(self): with self.assertRaises(ValueError): self.order_builder.set_activation_price(-3.94) @no_duplicates def test_activation_price_zero(self): with self.assertRaises(ValueError): self.order_builder.set_activation_price(0.0) ########################################################################## # SpecialInstruction @no_duplicates def test_special_instruction_success(self): self.order_builder.set_special_instruction( SpecialInstruction.DO_NOT_REDUCE) self.assertFalse(has_diff({ 'specialInstruction': 'DO_NOT_REDUCE' }, self.order_builder.build())) self.order_builder.clear_special_instruction() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_special_instruction_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_special_instruction('DO_NOT_REDUCE') @no_duplicates def test_special_instruction_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_special_instruction('DO_NOT_REDUCE') self.assertFalse(has_diff({ 'specialInstruction': 'DO_NOT_REDUCE' }, self.order_builder.build())) ########################################################################## # OrderStrategyType @no_duplicates def test_order_strategy_type_success(self): self.order_builder.set_order_strategy_type(OrderStrategyType.OCO) self.assertFalse(has_diff({ 'orderStrategyType': 'OCO' }, self.order_builder.build())) self.order_builder.clear_order_strategy_type() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_order_strategy_type_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.set_order_strategy_type('OCO') @no_duplicates def test_order_strategy_type_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_order_strategy_type('OCO') self.assertFalse(has_diff({ 'orderStrategyType': 'OCO' }, self.order_builder.build())) ########################################################################## # ChildOrderStrategies @no_duplicates def test_add_child_order_strategy_success(self): self.order_builder.add_child_order_strategy( OrderBuilder().set_session(Session.NORMAL)) self.assertFalse(has_diff({ 'childOrderStrategies': [{'session': 'NORMAL'}] }, self.order_builder.build())) self.order_builder.clear_child_order_strategies() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_add_child_order_strategy_dict(self): self.order_builder.add_child_order_strategy( {'session': 'NORMAL'}) self.assertFalse(has_diff({ 'childOrderStrategies': [{'session': 'NORMAL'}] }, self.order_builder.build())) @no_duplicates def test_add_child_order_strategy_invalid_type(self): with self.assertRaises(ValueError): self.order_builder.add_child_order_strategy(10) ########################################################################## # OrderLegCollection @no_duplicates def test_add_equity_leg_success(self): self.order_builder.add_equity_leg(EquityInstruction.BUY, 'GOOG', 10) self.order_builder.add_equity_leg( EquityInstruction.SELL_SHORT, 'MSFT', 1) self.assertFalse(has_diff({ 'orderLegCollection': [{ 'instruction': 'BUY', 'instrument': { 'symbol': 'GOOG', 'assetType': 'EQUITY' }, 'quantity': 10, }, { 'instruction': 'SELL_SHORT', 'instrument': { 'symbol': 'MSFT', 'assetType': 'EQUITY' }, 'quantity': 1, }] }, self.order_builder.build())) self.order_builder.clear_order_legs() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_add_equity_leg_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.add_equity_leg('BUY', 'GOOG', 10) @no_duplicates def test_add_equity_leg_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.add_equity_leg('BUY', 'GOOG', 10) self.order_builder.add_equity_leg('SELL_TO_CLOSE', 'MSFT', 1) self.assertFalse(has_diff({ 'orderLegCollection': [{ 'instruction': 'BUY', 'instrument': { 'symbol': 'GOOG', 'assetType': 'EQUITY' }, 'quantity': 10, }, { 'instruction': 'SELL_TO_CLOSE', 'instrument': { 'symbol': 'MSFT', 'assetType': 'EQUITY' }, 'quantity': 1, }] }, self.order_builder.build())) @no_duplicates def test_add_equity_leg_negative_quantity(self): with self.assertRaises(ValueError): self.order_builder.add_equity_leg( EquityInstruction.BUY, 'GOOG', -1) @no_duplicates def test_add_equity_leg_zero_quantity(self): with self.assertRaises(ValueError): self.order_builder.add_equity_leg( EquityInstruction.BUY, 'GOOG', 0) @no_duplicates def test_add_option_leg_success(self): self.order_builder.add_option_leg( OptionInstruction.BUY_TO_OPEN, 'GOOG31433C1342', 10) self.order_builder.add_option_leg( OptionInstruction.BUY_TO_CLOSE, 'MSFT439132P35', 1) self.assertFalse(has_diff({ 'orderLegCollection': [{ 'instruction': 'BUY_TO_OPEN', 'instrument': { 'symbol': 'GOOG31433C1342', 'assetType': 'OPTION' }, 'quantity': 10, }, { 'instruction': 'BUY_TO_CLOSE', 'instrument': { 'symbol': 'MSFT439132P35', 'assetType': 'OPTION' }, 'quantity': 1, }] }, self.order_builder.build())) self.order_builder.clear_order_legs() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_add_option_leg_wrong_type(self): with self.assertRaises(ValueError): self.order_builder.add_option_leg( 'BUY_TO_OPEN', 'GOOG31433C1342', 10) @no_duplicates def test_add_option_leg_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.add_option_leg('BUY_TO_OPEN', 'GOOG31433C1342', 10) self.order_builder.add_option_leg('BUY_TO_CLOSE', 'MSFT439132P35', 1) self.assertFalse(has_diff({ 'orderLegCollection': [{ 'instruction': 'BUY_TO_OPEN', 'instrument': { 'symbol': 'GOOG31433C1342', 'assetType': 'OPTION' }, 'quantity': 10, }, { 'instruction': 'BUY_TO_CLOSE', 'instrument': { 'symbol': 'MSFT439132P35', 'assetType': 'OPTION' }, 'quantity': 1, }] }, self.order_builder.build())) self.order_builder.clear_order_legs() self.assertFalse(has_diff({}, self.order_builder.build())) @no_duplicates def test_add_option_leg_negative_quantity(self): with self.assertRaises(ValueError): self.order_builder.add_option_leg( OptionInstruction.BUY_TO_OPEN, 'GOOG31433C1342', -1) @no_duplicates def test_add_option_leg_zero_quantity(self): with self.assertRaises(ValueError): self.order_builder.add_option_leg( OptionInstruction.BUY_TO_OPEN, 'GOOG31433C1342', 0) class OrderBuilderExamplesTest(unittest.TestCase): def setUp(self): self.maxDiff = None ########################################################################## # Functional tests from here: # https://developer.tdameritrade.com/content/place-order-samples @no_duplicates def test_quantity_negative(self): with self.assertRaises(ValueError): self.order_builder.set_quantity(-12) @no_duplicates def test_quantity_wrong_type_no_check(self): self.order_builder = OrderBuilder(enforce_enums=False) self.order_builder.set_quantity('') self.assertFalse(has_diff({ 'quantity': '' }, self.order_builder.build())) class OrderBuilderExamplesTest(unittest.TestCase): @no_duplicates def setUp(self): self.maxDiff = None ########################################################################## # Functional tests from here: # https://developer.tdameritrade.com/content/place-order-samples @no_duplicates def test_buy_market_stock(self): builder = ( OrderBuilder() .set_order_type(OrderType.MARKET) .set_session(Session.NORMAL) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_equity_leg(EquityInstruction.BUY, 'XYZ', 15)) expected = { 'orderType': 'MARKET', 'session': 'NORMAL', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'BUY', # The original says 'Buy' 'quantity': 15, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_buy_limit_single_option(self): builder = ( OrderBuilder() .set_complex_order_strategy_type(ComplexOrderStrategyType.NONE) .set_order_type(OrderType.LIMIT) .set_session(Session.NORMAL) .set_price(6.45) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_option_leg(OptionInstruction.BUY_TO_OPEN, 'XYZ_032015C49', 10)) expected = { 'complexOrderStrategyType': 'NONE', 'orderType': 'LIMIT', 'session': 'NORMAL', 'price': '6.45', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'BUY_TO_OPEN', 'quantity': 10, 'instrument': { 'symbol': 'XYZ_032015C49', 'assetType': 'OPTION' } } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_buy_limit_vertical_call_spread(self): builder = ( OrderBuilder() .set_order_type(OrderType.NET_DEBIT) .set_session(Session.NORMAL) .set_price(1.20) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_option_leg(OptionInstruction.BUY_TO_OPEN, 'XYZ_011516C40', 10) .add_option_leg( OptionInstruction.SELL_TO_OPEN, 'XYZ_011516C42.5', 10)) expected = { 'orderType': 'NET_DEBIT', 'session': 'NORMAL', 'price': '1.20', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'BUY_TO_OPEN', 'quantity': 10, 'instrument': { 'symbol': 'XYZ_011516C40', 'assetType': 'OPTION' } }, { 'instruction': 'SELL_TO_OPEN', 'quantity': 10, 'instrument': { 'symbol': 'XYZ_011516C42.5', 'assetType': 'OPTION' } } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_custom_option_spread(self): builder = ( OrderBuilder() .set_order_strategy_type(OrderStrategyType.SINGLE) .set_order_type(OrderType.MARKET) .add_option_leg(OptionInstruction.SELL_TO_OPEN, 'XYZ_011819P45', 1) .add_option_leg(OptionInstruction.BUY_TO_OPEN, 'XYZ_011720P43', 2) .set_complex_order_strategy_type(ComplexOrderStrategyType.CUSTOM) .set_duration(Duration.DAY) .set_session(Session.NORMAL)) expected = { 'orderStrategyType': 'SINGLE', 'orderType': 'MARKET', 'orderLegCollection': [ { 'instrument': { 'assetType': 'OPTION', 'symbol': 'XYZ_011819P45' }, 'instruction': 'SELL_TO_OPEN', 'quantity': 1 }, { 'instrument': { 'assetType': 'OPTION', 'symbol': 'XYZ_011720P43' }, 'instruction': 'BUY_TO_OPEN', 'quantity': 2 } ], 'complexOrderStrategyType': 'CUSTOM', 'duration': 'DAY', 'session': 'NORMAL' } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_conditional_order_one_triggers_another(self): builder = ( OrderBuilder() .set_order_type(OrderType.LIMIT) .set_session(Session.NORMAL) .set_price(34.97) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.TRIGGER) .add_equity_leg(EquityInstruction.BUY, 'XYZ', 10) .add_child_order_strategy( OrderBuilder() .set_order_type(OrderType.LIMIT) .set_session(Session.NORMAL) .set_price(42.03) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 10))) expected = { 'orderType': 'LIMIT', 'session': 'NORMAL', 'price': '34.97', 'duration': 'DAY', 'orderStrategyType': 'TRIGGER', 'orderLegCollection': [ { 'instruction': 'BUY', 'quantity': 10, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ], 'childOrderStrategies': [ { 'orderType': 'LIMIT', 'session': 'NORMAL', 'price': '42.03', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 10, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ] } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_conditional_order_one_cancels_another(self): builder = ( OrderBuilder() .set_order_strategy_type(OrderStrategyType.OCO) .add_child_order_strategy( OrderBuilder() .set_order_type(OrderType.LIMIT) .set_session(Session.NORMAL) .set_price(45.97) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 2) ) .add_child_order_strategy( OrderBuilder() .set_order_type(OrderType.STOP_LIMIT) .set_session(Session.NORMAL) .set_price(37.00) .set_stop_price(37.03) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 2))) expected = { 'orderStrategyType': 'OCO', 'childOrderStrategies': [ { 'orderType': 'LIMIT', 'session': 'NORMAL', 'price': '45.97', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 2, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ] }, { 'orderType': 'STOP_LIMIT', 'session': 'NORMAL', 'price': '37.00', 'stopPrice': '37.03', 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 2, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ] } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_conditional_order_one_triggers_a_one_cancels_other(self): builder = ( OrderBuilder() .set_order_strategy_type(OrderStrategyType.TRIGGER) .set_session(Session.NORMAL) .set_duration(Duration.DAY) .set_order_type(OrderType.LIMIT) .set_price(14.97) .add_equity_leg(EquityInstruction.BUY, 'XYZ', 5) .add_child_order_strategy( OrderBuilder() .set_order_strategy_type(OrderStrategyType.OCO) .add_child_order_strategy( OrderBuilder() .set_order_strategy_type(OrderStrategyType.SINGLE) .set_session(Session.NORMAL) .set_duration(Duration.GOOD_TILL_CANCEL) .set_order_type(OrderType.LIMIT) .set_price(15.27) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 5)) .add_child_order_strategy( OrderBuilder() .set_order_strategy_type(OrderStrategyType.SINGLE) .set_session(Session.NORMAL) .set_duration(Duration.GOOD_TILL_CANCEL) .set_order_type(OrderType.STOP) .set_stop_price(11.27) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 5)))) expected = { 'orderStrategyType': 'TRIGGER', 'session': 'NORMAL', 'duration': 'DAY', 'orderType': 'LIMIT', 'price': '14.97', 'orderLegCollection': [ { 'instruction': 'BUY', 'quantity': 5, 'instrument': { 'assetType': 'EQUITY', 'symbol': 'XYZ' } } ], 'childOrderStrategies': [ { 'orderStrategyType': 'OCO', 'childOrderStrategies': [ { 'orderStrategyType': 'SINGLE', 'session': 'NORMAL', 'duration': 'GOOD_TILL_CANCEL', 'orderType': 'LIMIT', 'price': '15.27', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 5, 'instrument': { 'assetType': 'EQUITY', 'symbol': 'XYZ' } } ] }, { 'orderStrategyType': 'SINGLE', 'session': 'NORMAL', 'duration': 'GOOD_TILL_CANCEL', 'orderType': 'STOP', 'stopPrice': '11.27', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 5, 'instrument': { 'assetType': 'EQUITY', 'symbol': 'XYZ' } } ] } ] } ] } self.assertFalse(has_diff(expected, builder.build())) @no_duplicates def test_sell_trailing_stop_stock(self): builder = ( OrderBuilder() .set_complex_order_strategy_type(ComplexOrderStrategyType.NONE) .set_order_type(OrderType.TRAILING_STOP) .set_session(Session.NORMAL) .set_stop_price_link_basis(StopPriceLinkBasis.BID) .set_stop_price_link_type(StopPriceLinkType.VALUE) .set_stop_price_offset(10) .set_duration(Duration.DAY) .set_order_strategy_type(OrderStrategyType.SINGLE) .add_equity_leg(EquityInstruction.SELL, 'XYZ', 10)) expected = { 'complexOrderStrategyType': 'NONE', 'orderType': 'TRAILING_STOP', 'session': 'NORMAL', 'stopPriceLinkBasis': 'BID', 'stopPriceLinkType': 'VALUE', 'stopPriceOffset': 10, 'duration': 'DAY', 'orderStrategyType': 'SINGLE', 'orderLegCollection': [ { 'instruction': 'SELL', 'quantity': 10, 'instrument': { 'symbol': 'XYZ', 'assetType': 'EQUITY' } } ] } self.assertFalse(has_diff(expected, builder.build()))
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ca9a2724297f6c73c5dc7499dfbc9717e46774ff
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py
Python
exercises/alphametics/alphametics.py
kishankj/python
82042de746128127502e109111e6c4e8ab002af6
[ "MIT" ]
1,177
2017-06-21T20:24:06.000Z
2022-03-29T02:30:55.000Z
exercises/alphametics/alphametics.py
kishankj/python
82042de746128127502e109111e6c4e8ab002af6
[ "MIT" ]
1,890
2017-06-18T20:06:10.000Z
2022-03-31T18:35:51.000Z
exercises/alphametics/alphametics.py
kishankj/python
82042de746128127502e109111e6c4e8ab002af6
[ "MIT" ]
1,095
2017-06-26T23:06:19.000Z
2022-03-29T03:25:38.000Z
def solve(puzzle): pass
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04bfad673378b616fa428027034f26350a5b9fbb
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py
Python
tests/__init__.py
paul-armstrong-dev/the_movie_api
b225da5103eb721db0dce9b4946f6b8f250f6b78
[ "MIT" ]
null
null
null
tests/__init__.py
paul-armstrong-dev/the_movie_api
b225da5103eb721db0dce9b4946f6b8f250f6b78
[ "MIT" ]
null
null
null
tests/__init__.py
paul-armstrong-dev/the_movie_api
b225da5103eb721db0dce9b4946f6b8f250f6b78
[ "MIT" ]
null
null
null
"""Unit test package for the_movie_api."""
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b6d647e6f81637a0580fe5f045b8ff4998c92ccb
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py
Python
__version__.py
shutterstock/shutterstock-cli
736a6f0ee1c3fd9cf02095820be79b1a8bbc5f86
[ "MIT" ]
3
2021-08-12T23:41:33.000Z
2022-03-14T18:52:31.000Z
__version__.py
shutterstock/shutterstock-cli
736a6f0ee1c3fd9cf02095820be79b1a8bbc5f86
[ "MIT" ]
2
2017-09-05T11:26:55.000Z
2021-05-08T17:28:45.000Z
__version__.py
shutterstock/shutterstock-cli
736a6f0ee1c3fd9cf02095820be79b1a8bbc5f86
[ "MIT" ]
2
2021-03-25T20:58:52.000Z
2022-03-22T08:41:15.000Z
__version__ = 1.1.4
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8e11aa634228f040864d1e959e65188c03164940
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py
Python
python/generated/swaggeraem/apis/__init__.py
mbloch1986/swagger-aem
599baa705dd4db5ae2b30a637e5bcd7d3f886e85
[ "Apache-2.0" ]
null
null
null
python/generated/swaggeraem/apis/__init__.py
mbloch1986/swagger-aem
599baa705dd4db5ae2b30a637e5bcd7d3f886e85
[ "Apache-2.0" ]
null
null
null
python/generated/swaggeraem/apis/__init__.py
mbloch1986/swagger-aem
599baa705dd4db5ae2b30a637e5bcd7d3f886e85
[ "Apache-2.0" ]
null
null
null
from __future__ import absolute_import # import apis into api package from .console_api import ConsoleApi from .cq_api import CqApi from .crx_api import CrxApi from .custom_api import CustomApi from .sling_api import SlingApi
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8e19e2bce2d80dcfc8779e9e108b2c241fe3191b
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py
Python
sales_register/domain/entities/value_objects/__init__.py
tamercuba/purchase-system
cfd3e4fecbd96c130f620d11491fa14979c0d996
[ "MIT" ]
null
null
null
sales_register/domain/entities/value_objects/__init__.py
tamercuba/purchase-system
cfd3e4fecbd96c130f620d11491fa14979c0d996
[ "MIT" ]
6
2021-05-15T21:44:19.000Z
2021-05-23T22:20:13.000Z
sales_register/domain/entities/value_objects/__init__.py
tamercuba/sales-register
cfd3e4fecbd96c130f620d11491fa14979c0d996
[ "MIT" ]
null
null
null
from domain.entities.value_objects.cashback import Cashback
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5
8e2f8415a5c24b05522ffb9d76cabe80770fcf76
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py
Python
nutellaAgent/nutella_hpo/nu_hpo_utils.py
Nutella-duck/nutella_agent
f9b28dcf4a97ad316732f6ce891037f4391da18d
[ "MIT" ]
null
null
null
nutellaAgent/nutella_hpo/nu_hpo_utils.py
Nutella-duck/nutella_agent
f9b28dcf4a97ad316732f6ce891037f4391da18d
[ "MIT" ]
null
null
null
nutellaAgent/nutella_hpo/nu_hpo_utils.py
Nutella-duck/nutella_agent
f9b28dcf4a97ad316732f6ce891037f4391da18d
[ "MIT" ]
null
null
null
from hyperopt import hp, fmin, tpe, space_eval, Trials def hpchoice(label, p_options): return hp.pchoice(label, p_options) def choice(label, options): return hp.choice(label, options) def randint(label, *args, **kwargs): return hp.randint(label, *args, **kwargs) def uniform(label, *args, **kwargs): return hp.uniform(label, *args, **kwargs) def uniformint(label, *args, **kwargs): return hp.uniformint(label, *args, **kwargs) def quniform(label, *args, **kwargs): return hp.quniform(label, *args, **kwargs) def loguniform(label, *args, **kwargs): return hp.loguniform(label, *args, **kwargs) def qloguniform(label, *args, **kwargs): return hp.qloguniform(label, *args, **kwargs) def normal(label, *args, **kwargs): return hp.normal(label, *args, **kwargs) def qnormal(label, *args, **kwargs): return hp.qnormal(label, *args, **kwargs) def lognormal(label, *args, **kwargs): return hp.lognormal(label, *args, **kwargs) def qlognormal(label, *args, **kwargs): return hp.qlognormal(label, *args, **kwargs) def hpo(objective, space, algo = tpe.suggest, max_evals = 100): best = fmin(objective, space, algo, max_evals) return best # def hpo(objective, space, algo = tpe.suggest, max_evals = 100, trials = Trials()): # best = fmin(objective, space, algo = tpe.suggest, max_evals = 100, trials = Trials()) # return best
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5
f3d3654ae9b0776bb0130ec15acc9cc5db8e97aa
162
py
Python
moonleap/resource/prop.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
moonleap/resource/prop.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
moonleap/resource/prop.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
import typing as T from dataclasses import dataclass @dataclass(frozen=True) class Prop: get_value: T.Callable set_value: T.Optional[T.Callable] = None
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5
f3ec486dfcc86f0333d9a97bd67e5efad8ef5724
148
py
Python
spotify_stats/__init__.py
smwa/playlist_data
01cd656eecc891dc8dc43dd1b8cc3f67a14bb9de
[ "MIT" ]
null
null
null
spotify_stats/__init__.py
smwa/playlist_data
01cd656eecc891dc8dc43dd1b8cc3f67a14bb9de
[ "MIT" ]
null
null
null
spotify_stats/__init__.py
smwa/playlist_data
01cd656eecc891dc8dc43dd1b8cc3f67a14bb9de
[ "MIT" ]
null
null
null
""" libraries """ from .track_details import TrackDetails from .library import playlist_url_to_id, playlist_id_to_track_list, track_list_to_details
24.666667
89
0.844595
22
148
5.181818
0.545455
0.157895
0
0
0
0
0
0
0
0
0
0
0.087838
148
5
90
29.6
0.844444
0.060811
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
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1
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1
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0
null
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1
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0
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0
0
0
0
0
0
0
null
0
0
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0
0
0
1
0
1
0
1
0
0
5
f3f8d55be4f89432e2fd1209d6be8fe234c820da
145
py
Python
workon/views/__init__.py
dalou/django-workon
ef63c0a81c00ef560ed693e435cf3825f5170126
[ "BSD-3-Clause" ]
null
null
null
workon/views/__init__.py
dalou/django-workon
ef63c0a81c00ef560ed693e435cf3825f5170126
[ "BSD-3-Clause" ]
null
null
null
workon/views/__init__.py
dalou/django-workon
ef63c0a81c00ef560ed693e435cf3825f5170126
[ "BSD-3-Clause" ]
null
null
null
from .update import FlexibleUpdate, Save from .delete import MultipleDelete from .textimage import TextImage from ..contrib.auth.views import *
24.166667
40
0.813793
18
145
6.555556
0.611111
0
0
0
0
0
0
0
0
0
0
0
0.124138
145
6
41
24.166667
0.929134
0
0
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true
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null
0
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0
1
0
1
0
1
0
0
5
6d246d2bd9b2a78905065915f026b12403e072c0
36
py
Python
Settings.py
NCBI-Hackathons/Complex_Phenogeno
bb3e8f095c5c5a768355fe2ebdf456f4d89e16c3
[ "MIT" ]
6
2017-10-25T10:17:24.000Z
2022-02-01T21:06:41.000Z
Settings.py
NCBI-Hackathons/Complex_Phenogeno
bb3e8f095c5c5a768355fe2ebdf456f4d89e16c3
[ "MIT" ]
2
2017-10-31T15:08:09.000Z
2017-11-02T15:54:41.000Z
Settings.py
NCBI-Hackathons/Complex_Phenogeno
bb3e8f095c5c5a768355fe2ebdf456f4d89e16c3
[ "MIT" ]
null
null
null
EMAIL = 'niki.athanasiadou@ncbi.gov'
36
36
0.777778
5
36
5.6
1
0
0
0
0
0
0
0
0
0
0
0
0.055556
36
1
36
36
0.823529
0
0
0
0
0
0.702703
0.702703
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
0
null
0
0
0
0
0
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0
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1
1
null
0
0
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0
0
0
0
0
0
0
0
0
0
5
6d54252785bb76975363e6954710f6770b56d78d
70
py
Python
src/aijack/collaborative/secureboost/__init__.py
Koukyosyumei/AIJack
9545d3828907b54965ede85e0e12cb32eef54294
[ "MIT" ]
24
2021-11-17T02:16:47.000Z
2022-03-27T01:04:08.000Z
src/aijack/collaborative/secureboost/__init__.py
Koukyosyumei/AIJack
9545d3828907b54965ede85e0e12cb32eef54294
[ "MIT" ]
9
2021-12-03T06:09:27.000Z
2022-03-29T06:33:53.000Z
src/aijack/collaborative/secureboost/__init__.py
Koukyosyumei/AIJack
9545d3828907b54965ede85e0e12cb32eef54294
[ "MIT" ]
5
2022-01-12T09:58:04.000Z
2022-03-17T09:29:04.000Z
from .wrapper import Node, Party, SecureBoostClassifier # noqa :F401
35
69
0.785714
8
70
6.875
1
0
0
0
0
0
0
0
0
0
0
0.05
0.142857
70
1
70
70
0.866667
0.142857
0
0
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0
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1
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true
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null
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0
null
0
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0
0
0
1
0
1
0
1
0
0
5
6d571df02df4e9d312369b04001444c620298d1f
75
py
Python
pyscrabble/utils.py
agedroics/pyscrabble
953d8d0021b7a7b73858c175d47e6b7634fdc2af
[ "MIT" ]
2
2020-04-08T20:23:20.000Z
2022-01-02T05:01:43.000Z
pyscrabble/utils.py
armands3312/pyscrabble
953d8d0021b7a7b73858c175d47e6b7634fdc2af
[ "MIT" ]
null
null
null
pyscrabble/utils.py
armands3312/pyscrabble
953d8d0021b7a7b73858c175d47e6b7634fdc2af
[ "MIT" ]
1
2019-09-27T11:26:07.000Z
2019-09-27T11:26:07.000Z
def int_to_byte(n: int) -> bytes: return n.to_bytes(1, byteorder='big')
37.5
41
0.68
14
75
3.428571
0.714286
0
0
0
0
0
0
0
0
0
0
0.015625
0.146667
75
2
41
37.5
0.734375
0
0
0
0
0
0.039474
0
0
0
0
0
0
1
0.5
false
0
0
0.5
1
0
1
0
0
null
0
0
0
0
0
0
0
0
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0
0
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1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
5
edc736d20e86473b78731040eccff72f266b67fe
692
py
Python
baseParser.py
shamrickus/D2Parser
1bb249ffbb813c6bea029625e9269e0ddfdec178
[ "Apache-2.0" ]
null
null
null
baseParser.py
shamrickus/D2Parser
1bb249ffbb813c6bea029625e9269e0ddfdec178
[ "Apache-2.0" ]
null
null
null
baseParser.py
shamrickus/D2Parser
1bb249ffbb813c6bea029625e9269e0ddfdec178
[ "Apache-2.0" ]
null
null
null
from utils import headerParse class BaseParser: def __init__(self, line): self.raw = {} for prop in line: self.raw[headerParse(prop)] = line[prop] def setMod(self, modName: str, version: str): self.modName = modName self.version = version @staticmethod def getName(): raise NotImplementedError() def verify(self): raise NotImplementedError() def getOutputName(self): raise NotImplementedError() def json(self): raise NotImplementedError() def parse(self, parser): raise NotImplementedError() def format(self, list): return "[\"" + "\",\"".join(x for x in list) + "\"]" def formatObj(self, listObj): return "[" + ', '.join(x for x in listObj) + "]"
20.352941
54
0.676301
83
692
5.590361
0.409639
0.258621
0.290948
0.200431
0.073276
0.073276
0
0
0
0
0
0
0.179191
692
33
55
20.969697
0.816901
0
0
0.208333
0
0
0.053468
0
0
0
0
0
0
1
0.375
false
0
0.041667
0.083333
0.541667
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
5
6109fe27ee1ad6aaff067000c9498b8ab5c43a00
234
py
Python
spinta/backends/fs/commands/bootstrap.py
atviriduomenys/spinta
77a10e201f8cdc63143fce7996fd0898acb1ff58
[ "MIT" ]
2
2019-03-14T06:41:14.000Z
2019-03-26T11:48:14.000Z
spinta/backends/fs/commands/bootstrap.py
sirex/spinta
77a10e201f8cdc63143fce7996fd0898acb1ff58
[ "MIT" ]
44
2019-04-05T15:52:45.000Z
2022-03-30T07:41:33.000Z
spinta/backends/fs/commands/bootstrap.py
sirex/spinta
77a10e201f8cdc63143fce7996fd0898acb1ff58
[ "MIT" ]
1
2019-04-01T09:54:27.000Z
2019-04-01T09:54:27.000Z
from spinta import commands from spinta.components import Context from spinta.backends.fs.components import FileSystem @commands.bootstrap.register(Context, FileSystem) def bootstrap(context: Context, backend: FileSystem): pass
26
53
0.820513
28
234
6.857143
0.5
0.15625
0
0
0
0
0
0
0
0
0
0
0.111111
234
8
54
29.25
0.923077
0
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0.166667
0.5
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
1
0
1
0
0
5
611c921da3ac3ca2dbc223f9244808e2874c5fa5
79
py
Python
abc/abc078/abc078c.py
c-yan/atcoder
940e49d576e6a2d734288fadaf368e486480a948
[ "MIT" ]
1
2019-08-21T00:49:34.000Z
2019-08-21T00:49:34.000Z
abc/abc078/abc078c.py
c-yan/atcoder
940e49d576e6a2d734288fadaf368e486480a948
[ "MIT" ]
null
null
null
abc/abc078/abc078c.py
c-yan/atcoder
940e49d576e6a2d734288fadaf368e486480a948
[ "MIT" ]
null
null
null
N, M = map(int, input().split()) print((1900 * M + 100 * (N - M)) * (2 ** M))
19.75
44
0.443038
14
79
2.5
0.714286
0.114286
0
0
0
0
0
0
0
0
0
0.133333
0.240506
79
3
45
26.333333
0.45
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
0.5
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
5
b69353bb346e8a72204c72ac7aab2cc3a9552432
30
py
Python
find lenth.py
svpaah/siva
ce04e7d012d1c604b8234281b29206698133c989
[ "bzip2-1.0.6", "Unlicense" ]
null
null
null
find lenth.py
svpaah/siva
ce04e7d012d1c604b8234281b29206698133c989
[ "bzip2-1.0.6", "Unlicense" ]
null
null
null
find lenth.py
svpaah/siva
ce04e7d012d1c604b8234281b29206698133c989
[ "bzip2-1.0.6", "Unlicense" ]
null
null
null
n='programmer' print len(n)
10
15
0.666667
5
30
4
0.8
0
0
0
0
0
0
0
0
0
0
0
0.166667
30
2
16
15
0.8
0
0
0
0
0
0.357143
0
0
0
0
0
0
0
null
null
0
0
null
null
0.5
1
1
0
null
0
0
0
0
0
0
0
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0
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1
0
0
0
0
0
0
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0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
1
0
5
fcaba11da60884a67909ae16ad381fb35667c644
92
py
Python
footle/game/__init__.py
SupImDos/footle
ff9178e52d1577c96a8b6ec00883ead9317f8b46
[ "MIT" ]
1
2022-03-25T15:28:57.000Z
2022-03-25T15:28:57.000Z
footle/game/__init__.py
SupImDos/footle
ff9178e52d1577c96a8b6ec00883ead9317f8b46
[ "MIT" ]
null
null
null
footle/game/__init__.py
SupImDos/footle
ff9178e52d1577c96a8b6ec00883ead9317f8b46
[ "MIT" ]
null
null
null
"""Exports Package Interface""" # Local from .logic import Game from .server import Server
15.333333
31
0.75
12
92
5.75
0.75
0
0
0
0
0
0
0
0
0
0
0
0.152174
92
5
32
18.4
0.884615
0.347826
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
fcd8b5cde9ff8987e66dbec11d40f0b0f6a78f22
240
py
Python
tests/conftest.py
girish946/supertokens-python
ce0e7f6035941b3a8d3d1f7ae867224fd9c41c3c
[ "Apache-2.0" ]
36
2021-10-05T17:06:07.000Z
2022-03-29T14:11:39.000Z
tests/conftest.py
girish946/supertokens-python
ce0e7f6035941b3a8d3d1f7ae867224fd9c41c3c
[ "Apache-2.0" ]
56
2021-09-02T08:24:29.000Z
2022-03-30T07:29:07.000Z
tests/conftest.py
SKOOTUK/supertokens-python
c0751dd5af911835199223efbe5a91e7c1f1f954
[ "Apache-2.0" ]
8
2022-01-28T14:49:55.000Z
2022-03-26T01:28:38.000Z
def pytest_configure(): import os os.environ.setdefault('SUPERTOKENS_ENV', 'testing') os.environ.setdefault('SUPERTOKENS_PATH', '../supertokens-root') os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tests.Django.settings')
40
76
0.741667
27
240
6.407407
0.592593
0.156069
0.32948
0.346821
0
0
0
0
0
0
0
0
0.108333
240
5
77
48
0.808411
0
0
0
0
0
0.416667
0.179167
0
0
0
0
0
1
0.2
true
0
0.2
0
0.4
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
5
fcec04e9e8126ef36024b1b371d05352627ae301
125
py
Python
apps/home/admin.py
ricardomvp/motoclassifier
1a4941da80fb5c89d161f3e7e902930207a3bf96
[ "MIT" ]
6
2020-11-05T22:54:56.000Z
2021-10-04T16:56:44.000Z
apps/home/admin.py
ricardomvp/motoclassifier
1a4941da80fb5c89d161f3e7e902930207a3bf96
[ "MIT" ]
null
null
null
apps/home/admin.py
ricardomvp/motoclassifier
1a4941da80fb5c89d161f3e7e902930207a3bf96
[ "MIT" ]
3
2021-01-02T04:27:08.000Z
2021-10-04T21:01:23.000Z
from django.contrib import admin from apps.home.models import Image # Register your models here. admin.site.register(Image)
20.833333
34
0.808
19
125
5.315789
0.684211
0
0
0
0
0
0
0
0
0
0
0
0.12
125
5
35
25
0.918182
0.208
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
fcf383eddce8312a395a8087484fa7eb1cb064ba
200
py
Python
output/models/ms_data/datatypes/facets/unsigned_long/unsigned_long_min_exclusive005_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
1
2021-08-14T17:59:21.000Z
2021-08-14T17:59:21.000Z
output/models/ms_data/datatypes/facets/unsigned_long/unsigned_long_min_exclusive005_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
4
2020-02-12T21:30:44.000Z
2020-04-15T20:06:46.000Z
output/models/ms_data/datatypes/facets/unsigned_long/unsigned_long_min_exclusive005_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
null
null
null
from output.models.ms_data.datatypes.facets.unsigned_long.unsigned_long_min_exclusive005_xsd.unsigned_long_min_exclusive005 import ( FooType, Test, ) __all__ = [ "FooType", "Test", ]
20
132
0.75
24
200
5.708333
0.666667
0.262774
0.218978
0.394161
0
0
0
0
0
0
0
0.035294
0.15
200
9
133
22.222222
0.770588
0
0
0
0
0
0.055
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
1e050fda1266dcb503cce49f1810bca30ebe7388
200
py
Python
user_profile/admin.py
takuyakubo/skill_profiler
78cbf27a91c6fcd2b1118830b10bc5c42f70452d
[ "MIT" ]
null
null
null
user_profile/admin.py
takuyakubo/skill_profiler
78cbf27a91c6fcd2b1118830b10bc5c42f70452d
[ "MIT" ]
null
null
null
user_profile/admin.py
takuyakubo/skill_profiler
78cbf27a91c6fcd2b1118830b10bc5c42f70452d
[ "MIT" ]
1
2022-01-05T07:28:09.000Z
2022-01-05T07:28:09.000Z
from django.contrib import admin from user_profile.models import UProfile # Register your models here. class UProfileAdmin(admin.ModelAdmin): pass admin.site.register(UProfile, UProfileAdmin)
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1e5d362158e1f28ad958007132f7706d00b1bdf1
232
py
Python
pylint_absolute_imports/__init__.py
QuentinN42/pylint-relative-imports
42440ad2eba79890fb0e42d7aa1b1a4daf44a7fd
[ "MIT" ]
null
null
null
pylint_absolute_imports/__init__.py
QuentinN42/pylint-relative-imports
42440ad2eba79890fb0e42d7aa1b1a4daf44a7fd
[ "MIT" ]
null
null
null
pylint_absolute_imports/__init__.py
QuentinN42/pylint-relative-imports
42440ad2eba79890fb0e42d7aa1b1a4daf44a7fd
[ "MIT" ]
null
null
null
"""Pylint import checking module.""" from pylint_absolute_imports.checker import AbsoluteImportChecker def register(linter): """Add the current checker to pylint.""" linter.register_checker(AbsoluteImportChecker(linter))
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1e623d7d6b93be981821cbf0d49a6349691382a7
158
py
Python
pydantic/__init__.py
graingert/pydantic
12820bad158c4529597b66e16bf2f797f27a29c1
[ "MIT" ]
null
null
null
pydantic/__init__.py
graingert/pydantic
12820bad158c4529597b66e16bf2f797f27a29c1
[ "MIT" ]
null
null
null
pydantic/__init__.py
graingert/pydantic
12820bad158c4529597b66e16bf2f797f27a29c1
[ "MIT" ]
null
null
null
# flake8: noqa from .env_settings import BaseSettings from .exceptions import * from .main import BaseModel from .types import * from .version import VERSION
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