hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
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
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | 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
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
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 | qsc_codepython_frac_lines_import_quality_signal
float64 | 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 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
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
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
140bd14af4f298770e406fc9ecedf919671ffd69
| 115
|
py
|
Python
|
mmrotate/core/evaluation/__init__.py
|
Justice-Eternal/mmrotate
|
c5bf348562fd84cc17906c2cf370d1a49fcd3035
|
[
"Apache-2.0"
] | 449
|
2022-02-18T08:26:58.000Z
|
2022-03-31T11:58:32.000Z
|
mmrotate/core/evaluation/__init__.py
|
Justice-Eternal/mmrotate
|
c5bf348562fd84cc17906c2cf370d1a49fcd3035
|
[
"Apache-2.0"
] | 162
|
2022-02-18T09:54:46.000Z
|
2022-03-31T15:40:46.000Z
|
mmrotate/core/evaluation/__init__.py
|
Justice-Eternal/mmrotate
|
c5bf348562fd84cc17906c2cf370d1a49fcd3035
|
[
"Apache-2.0"
] | 98
|
2022-02-18T08:28:48.000Z
|
2022-03-31T08:52:11.000Z
|
# Copyright (c) OpenMMLab. All rights reserved.
from .eval_map import eval_rbbox_map
__all__ = ['eval_rbbox_map']
| 23
| 47
| 0.773913
| 17
| 115
| 4.705882
| 0.647059
| 0.225
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 115
| 4
| 48
| 28.75
| 0.8
| 0.391304
| 0
| 0
| 0
| 0
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
141d774c2dd98968814f10cff05b426e5e9c3f71
| 119
|
py
|
Python
|
twitter_authentication.py
|
CommunityDataScienceCollective/twitter-cdsw
|
569e3642f2f89c873a092ae8f6c5888ed437c7dc
|
[
"MIT"
] | null | null | null |
twitter_authentication.py
|
CommunityDataScienceCollective/twitter-cdsw
|
569e3642f2f89c873a092ae8f6c5888ed437c7dc
|
[
"MIT"
] | null | null | null |
twitter_authentication.py
|
CommunityDataScienceCollective/twitter-cdsw
|
569e3642f2f89c873a092ae8f6c5888ed437c7dc
|
[
"MIT"
] | null | null | null |
CONSUMER_KEY = 'CHANGE_ME'
CONSUMER_SECRET = 'CHANGE_ME'
ACCESS_TOKEN = 'CHANGE_ME'
ACCESS_TOKEN_SECRET = 'CHANGE_ME'
| 19.833333
| 33
| 0.789916
| 17
| 119
| 5
| 0.411765
| 0.376471
| 0.329412
| 0.447059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109244
| 119
| 5
| 34
| 23.8
| 0.801887
| 0
| 0
| 0
| 0
| 0
| 0.305085
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
|
144360ec01181183eb64e454a3aa159096530b8b
| 39
|
py
|
Python
|
src/graccreports/minerva_report/__init__.py
|
shreyb/fife_notes_report
|
b6fc6fa16c442b7ea43858cc6ac28c8a2d43d5af
|
[
"Apache-2.0"
] | null | null | null |
src/graccreports/minerva_report/__init__.py
|
shreyb/fife_notes_report
|
b6fc6fa16c442b7ea43858cc6ac28c8a2d43d5af
|
[
"Apache-2.0"
] | null | null | null |
src/graccreports/minerva_report/__init__.py
|
shreyb/fife_notes_report
|
b6fc6fa16c442b7ea43858cc6ac28c8a2d43d5af
|
[
"Apache-2.0"
] | null | null | null |
from .. import Configuration, TextUtils
| 39
| 39
| 0.820513
| 4
| 39
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 39
| 1
| 39
| 39
| 0.914286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 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
|
145f683539f9d5633965bcfe809f023120b6cc46
| 1,228
|
py
|
Python
|
aggregator/migrations/0007_auto_20170515_1731.py
|
dipapaspyros/bdo_platform
|
336de07c6ed14290c54f2154117dbf90a187e4ea
|
[
"MIT"
] | 2
|
2018-02-07T10:26:28.000Z
|
2018-09-21T09:12:58.000Z
|
aggregator/migrations/0007_auto_20170515_1731.py
|
dipapaspyros/bdo_platform
|
336de07c6ed14290c54f2154117dbf90a187e4ea
|
[
"MIT"
] | 5
|
2018-09-21T10:40:44.000Z
|
2019-04-06T10:59:57.000Z
|
aggregator/migrations/0007_auto_20170515_1731.py
|
dipapaspyros/bdo_platform
|
336de07c6ed14290c54f2154117dbf90a187e4ea
|
[
"MIT"
] | 3
|
2019-06-09T15:42:02.000Z
|
2022-02-14T19:50:33.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-05-15 14:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('aggregator', '0006_auto_20170515_1444'),
]
operations = [
migrations.AlterField(
model_name='dimension',
name='name',
field=models.CharField(max_length=256),
),
migrations.AlterField(
model_name='dimension',
name='title',
field=models.CharField(max_length=256),
),
migrations.AlterField(
model_name='dimension',
name='unit',
field=models.CharField(max_length=256),
),
migrations.AlterField(
model_name='variable',
name='name',
field=models.CharField(max_length=256),
),
migrations.AlterField(
model_name='variable',
name='title',
field=models.CharField(max_length=256),
),
migrations.AlterField(
model_name='variable',
name='unit',
field=models.CharField(max_length=256),
),
]
| 26.695652
| 51
| 0.55456
| 114
| 1,228
| 5.798246
| 0.377193
| 0.181543
| 0.226929
| 0.263238
| 0.706505
| 0.706505
| 0.649017
| 0.649017
| 0.588502
| 0.588502
| 0
| 0.060753
| 0.329805
| 1,228
| 45
| 52
| 27.288889
| 0.742406
| 0.053746
| 0
| 0.789474
| 1
| 0
| 0.094909
| 0.019845
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.052632
| 0
| 0.131579
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
148ec83fba3c0087bc81ba0ff0b25d7c673669dd
| 182
|
py
|
Python
|
new_tools/string/check_type.py
|
Michael07220823/new_tools
|
087c2811b37a2ee20e150459567a086d25e404b0
|
[
"MIT"
] | null | null | null |
new_tools/string/check_type.py
|
Michael07220823/new_tools
|
087c2811b37a2ee20e150459567a086d25e404b0
|
[
"MIT"
] | null | null | null |
new_tools/string/check_type.py
|
Michael07220823/new_tools
|
087c2811b37a2ee20e150459567a086d25e404b0
|
[
"MIT"
] | null | null | null |
def check_bool(string=str()):
string = str(string)
return True if string.capitalize() == "True" or string.lower() == "true" or "True" in string or "true" in string else False
| 60.666667
| 127
| 0.675824
| 28
| 182
| 4.357143
| 0.5
| 0.147541
| 0.245902
| 0.229508
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175824
| 182
| 3
| 127
| 60.666667
| 0.813333
| 0
| 0
| 0
| 0
| 0
| 0.087432
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1ae6b5ea97bc2a807a0bac72f941bf5d1fceafa3
| 1,774
|
py
|
Python
|
mainsite/models.py
|
Bekarysalashybayev/Nomad
|
3dda626763fe2b57535717f223046e13340f6741
|
[
"MIT"
] | null | null | null |
mainsite/models.py
|
Bekarysalashybayev/Nomad
|
3dda626763fe2b57535717f223046e13340f6741
|
[
"MIT"
] | null | null | null |
mainsite/models.py
|
Bekarysalashybayev/Nomad
|
3dda626763fe2b57535717f223046e13340f6741
|
[
"MIT"
] | null | null | null |
from django.db import models
from django.db.models import Model
class Insurance(models.Model):
name = models.CharField(max_length=255)
doc1 = models.CharField(max_length=255, null=True)
doc2 = models.CharField(max_length=255, null=True)
doc3 = models.CharField(max_length=255, null=True)
price = models.IntegerField(default=0)
def __str__(self):
return self.name
class Issue(models.Model):
insurance = models.ForeignKey(Insurance, on_delete=models.DO_NOTHING)
fio = models.CharField(max_length=255)
iin = models.CharField(max_length=255)
bday = models.DateTimeField(null=True)
doc1 = models.CharField(max_length=255, null=True)
doc2 = models.CharField(max_length=255, null=True)
doc3 = models.CharField(max_length=255, null=True)
phone = models.CharField(max_length=255)
email = models.CharField(max_length=255)
total = models.IntegerField(default=0)
def __str__(self):
return self.fio
class TypeCar(models.Model):
name = models.CharField(max_length=15)
class City(models.Model):
city = models.CharField(max_length=15)
class Hospital(models.Model):
name = models.CharField(max_length=15)
class News(models.Model):
name = models.CharField(max_length=255)
description = models.TextField()
img = models.ImageField(blank=True, null=True)
created_at = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.name
class ContactForm(models.Model):
name = models.CharField(max_length=255)
email = models.CharField(max_length=255)
phone = models.CharField(max_length=255)
description = models.TextField()
created_at = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.name
| 28.15873
| 73
| 0.719842
| 236
| 1,774
| 5.233051
| 0.233051
| 0.218623
| 0.262348
| 0.349798
| 0.773279
| 0.729555
| 0.696356
| 0.68502
| 0.540891
| 0.391903
| 0
| 0.040054
| 0.169673
| 1,774
| 62
| 74
| 28.612903
| 0.798371
| 0
| 0
| 0.590909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0
| 0.045455
| 0.090909
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
213d5f48251f26f16eaf1b3e50476281d3052b1e
| 167
|
py
|
Python
|
app/settings/connection.py
|
Suspir0n/Programming-CEP-Search
|
7927a466857ec9e881df089816db25e55e84c788
|
[
"MIT"
] | 1
|
2021-02-21T15:19:44.000Z
|
2021-02-21T15:19:44.000Z
|
app/settings/connection.py
|
Suspir0n/Programming-CEP-Search
|
7927a466857ec9e881df089816db25e55e84c788
|
[
"MIT"
] | null | null | null |
app/settings/connection.py
|
Suspir0n/Programming-CEP-Search
|
7927a466857ec9e881df089816db25e55e84c788
|
[
"MIT"
] | null | null | null |
def connect_db(app):
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:@localhost:3306/cearch'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
| 55.666667
| 89
| 0.760479
| 21
| 167
| 5.809524
| 0.809524
| 0.147541
| 0.311475
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026316
| 0.08982
| 167
| 3
| 90
| 55.666667
| 0.776316
| 0
| 0
| 0
| 0
| 0
| 0.571429
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
21412ffeab6ac4b4ba0118e770056acf2684f26c
| 265
|
py
|
Python
|
moto/kinesisvideoarchivedmedia/__init__.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 5,460
|
2015-01-01T01:11:17.000Z
|
2022-03-31T23:45:38.000Z
|
moto/kinesisvideoarchivedmedia/__init__.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 4,475
|
2015-01-05T19:37:30.000Z
|
2022-03-31T13:55:12.000Z
|
moto/kinesisvideoarchivedmedia/__init__.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 1,831
|
2015-01-14T00:00:44.000Z
|
2022-03-31T20:30:04.000Z
|
from .models import kinesisvideoarchivedmedia_backends
from ..core.models import base_decorator
kinesisvideoarchivedmedia_backend = kinesisvideoarchivedmedia_backends["us-east-1"]
mock_kinesisvideoarchivedmedia = base_decorator(kinesisvideoarchivedmedia_backends)
| 44.166667
| 83
| 0.890566
| 24
| 265
| 9.541667
| 0.541667
| 0.432314
| 0.331878
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004
| 0.056604
| 265
| 5
| 84
| 53
| 0.912
| 0
| 0
| 0
| 0
| 0
| 0.033962
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
214d1c2536bef7dbade376fe5becb040728f8ff3
| 10,640
|
bzl
|
Python
|
tests/new_sets_tests.bzl
|
Nexproc/bazel-skylib
|
a9f16d32742e15232a129c53b3d7dda1451d71a8
|
[
"Apache-2.0"
] | null | null | null |
tests/new_sets_tests.bzl
|
Nexproc/bazel-skylib
|
a9f16d32742e15232a129c53b3d7dda1451d71a8
|
[
"Apache-2.0"
] | null | null | null |
tests/new_sets_tests.bzl
|
Nexproc/bazel-skylib
|
a9f16d32742e15232a129c53b3d7dda1451d71a8
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2018 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Unit tests for new_sets.bzl."""
load("//:lib.bzl", "new_sets", "asserts", "unittest")
def _is_equal_test(ctx):
"""Unit tests for new_sets.is_equal.
Note that if this test fails, the results for the other `sets` tests will be
inconclusive because they use `asserts.new_set_equals`, which in turn calls
`new_sets.is_equal`.
"""
env = unittest.begin(ctx)
asserts.true(env, new_sets.is_equal(new_sets.make(), new_sets.make()))
asserts.false(env, new_sets.is_equal(new_sets.make(), new_sets.make([1])))
asserts.false(env, new_sets.is_equal(new_sets.make([1]), new_sets.make()))
asserts.true(env, new_sets.is_equal(new_sets.make([1]), new_sets.make([1])))
asserts.false(env, new_sets.is_equal(new_sets.make([1]), new_sets.make([1, 2])))
asserts.false(env, new_sets.is_equal(new_sets.make([1]), new_sets.make([2])))
asserts.false(env, new_sets.is_equal(new_sets.make([1]), new_sets.make([1, 2])))
# Verify that the implementation is not using == on the sets directly.
asserts.true(env, new_sets.is_equal(new_sets.make(depset([1])), new_sets.make(depset([1]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.true(env, new_sets.is_equal(new_sets.make([1, 1]), new_sets.make([1])))
unittest.end(env)
is_equal_test = unittest.make(_is_equal_test)
def _is_subset_test(ctx):
"""Unit tests for new_sets.is_subset."""
env = unittest.begin(ctx)
asserts.true(env, new_sets.is_subset(new_sets.make(), new_sets.make()))
asserts.true(env, new_sets.is_subset(new_sets.make(), new_sets.make([1])))
asserts.false(env, new_sets.is_subset(new_sets.make([1]), new_sets.make()))
asserts.true(env, new_sets.is_subset(new_sets.make([1]), new_sets.make([1])))
asserts.true(env, new_sets.is_subset(new_sets.make([1]), new_sets.make([1, 2])))
asserts.false(env, new_sets.is_subset(new_sets.make([1]), new_sets.make([2])))
asserts.true(env, new_sets.is_subset(new_sets.make([1]), new_sets.make(depset([1, 2]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.true(env, new_sets.is_subset(new_sets.make([1, 1]), new_sets.make([1, 2])))
unittest.end(env)
is_subset_test = unittest.make(_is_subset_test)
def _disjoint_test(ctx):
"""Unit tests for new_sets.disjoint."""
env = unittest.begin(ctx)
asserts.true(env, new_sets.disjoint(new_sets.make(), new_sets.make()))
asserts.true(env, new_sets.disjoint(new_sets.make(), new_sets.make([1])))
asserts.true(env, new_sets.disjoint(new_sets.make([1]), new_sets.make()))
asserts.false(env, new_sets.disjoint(new_sets.make([1]), new_sets.make([1])))
asserts.false(env, new_sets.disjoint(new_sets.make([1]), new_sets.make([1, 2])))
asserts.true(env, new_sets.disjoint(new_sets.make([1]), new_sets.make([2])))
asserts.true(env, new_sets.disjoint(new_sets.make([1]), new_sets.make(depset([2]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.false(env, new_sets.disjoint(new_sets.make([1, 1]), new_sets.make([1, 2])))
unittest.end(env)
disjoint_test = unittest.make(_disjoint_test)
def _intersection_test(ctx):
"""Unit tests for new_sets.intersection."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.make(), new_sets.intersection(new_sets.make(), new_sets.make()))
asserts.new_set_equals(env, new_sets.make(), new_sets.intersection(new_sets.make(), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make(), new_sets.intersection(new_sets.make([1]), new_sets.make()))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.intersection(new_sets.make([1]), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.intersection(new_sets.make([1]), new_sets.make([1, 2])))
asserts.new_set_equals(env, new_sets.make(), new_sets.intersection(new_sets.make([1]), new_sets.make([2])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.intersection(new_sets.make([1]), new_sets.make(depset([1]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.new_set_equals(env, new_sets.make([1]), new_sets.intersection(new_sets.make([1, 1]), new_sets.make([1, 2])))
unittest.end(env)
intersection_test = unittest.make(_intersection_test)
def _union_test(ctx):
"""Unit tests for new_sets.union."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.make(), new_sets.union())
asserts.new_set_equals(env, new_sets.make([1]), new_sets.union(new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make(), new_sets.union(new_sets.make(), new_sets.make()))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.union(new_sets.make(), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.union(new_sets.make([1]), new_sets.make()))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.union(new_sets.make([1]), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make([1, 2]), new_sets.union(new_sets.make([1]), new_sets.make([1, 2])))
asserts.new_set_equals(env, new_sets.make([1, 2]), new_sets.union(new_sets.make([1]), new_sets.make([2])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.union(new_sets.make([1]), new_sets.make(depset([1]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.new_set_equals(env, new_sets.make([1, 2]), new_sets.union(new_sets.make([1, 1]), new_sets.make([1, 2])))
unittest.end(env)
union_test = unittest.make(_union_test)
def _difference_test(ctx):
"""Unit tests for new_sets.difference."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.make(), new_sets.difference(new_sets.make(), new_sets.make()))
asserts.new_set_equals(env, new_sets.make(), new_sets.difference(new_sets.make(), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.difference(new_sets.make([1]), new_sets.make()))
asserts.new_set_equals(env, new_sets.make(), new_sets.difference(new_sets.make([1]), new_sets.make([1])))
asserts.new_set_equals(env, new_sets.make(), new_sets.difference(new_sets.make([1]), new_sets.make([1, 2])))
asserts.new_set_equals(env, new_sets.make([1]), new_sets.difference(new_sets.make([1]), new_sets.make([2])))
asserts.new_set_equals(env, new_sets.make(), new_sets.difference(new_sets.make([1]), new_sets.make(depset([1]))))
# If passing a list, verify that duplicate elements are ignored.
asserts.new_set_equals(env, new_sets.make([2]), new_sets.difference(new_sets.make([1, 2]), new_sets.make([1, 1])))
unittest.end(env)
difference_test = unittest.make(_difference_test)
def _to_list_test(ctx):
"""Unit tests for new_sets.to_list."""
env = unittest.begin(ctx)
asserts.equals(env, [], new_sets.to_list(new_sets.make()))
asserts.equals(env, [1], new_sets.to_list(new_sets.make([1, 1, 1])))
asserts.equals(env, [1, 2, 3], new_sets.to_list(new_sets.make([1, 2, 3])))
unittest.end(env)
to_list_test = unittest.make(_to_list_test)
def _make_test(ctx):
"""Unit tests for new_sets.make."""
env = unittest.begin(ctx)
asserts.equals(env, {}, new_sets.make()._values)
asserts.equals(env, {x: None for x in [1, 2, 3]}, new_sets.make([1, 1, 2, 2, 3, 3])._values)
asserts.equals(env, {1: None, 2: None}, new_sets.make(depset([1, 2]))._values)
unittest.end(env)
make_test = unittest.make(_make_test)
def _copy_test(ctx):
"""Unit tests for new_sets.copy."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.copy(new_sets.make()), new_sets.make())
asserts.new_set_equals(env, new_sets.copy(new_sets.make([1, 2, 3])), new_sets.make([1, 2, 3]))
# Ensure mutating the copy does not mutate the original
original = new_sets.make([1, 2, 3])
copy = new_sets.copy(original)
copy._values[5] = None
asserts.false(env, new_sets.is_equal(original, copy))
unittest.end(env)
copy_test = unittest.make(_copy_test)
def _insert_test(ctx):
"""Unit tests for new_sets.insert."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.make([1, 2, 3]), new_sets.insert(new_sets.make([1, 2]), 3))
# Ensure mutating the inserted set does mutate the original set.
original = new_sets.make([1, 2, 3])
after_insert = new_sets.insert(original, 4)
asserts.new_set_equals(env, original, after_insert,
msg="Insert creates a new set which is an O(n) operation, insert should be O(1).")
unittest.end(env)
insert_test = unittest.make(_insert_test)
def _contains_test(ctx):
"""Unit tests for new_sets.contains."""
env = unittest.begin(ctx)
asserts.false(env, new_sets.contains(new_sets.make(), 1))
asserts.true(env, new_sets.contains(new_sets.make([1]), 1))
asserts.true(env, new_sets.contains(new_sets.make([1, 2]), 1))
asserts.false(env, new_sets.contains(new_sets.make([2, 3]), 1))
unittest.end(env)
contains_test = unittest.make(_contains_test)
def _length_test(ctx):
"""Unit test for new_sets.length."""
env = unittest.begin(ctx)
asserts.equals(env, 0, new_sets.length(new_sets.make()))
asserts.equals(env, 1, new_sets.length(new_sets.make([1])))
asserts.equals(env, 2, new_sets.length(new_sets.make([1, 2])))
unittest.end(env)
length_test = unittest.make(_length_test)
def _remove_test(ctx):
"""Unit test for new_sets.remove."""
env = unittest.begin(ctx)
asserts.new_set_equals(env, new_sets.make([1, 2]), new_sets.remove(new_sets.make([1, 2, 3]), 3))
# Ensure mutating the inserted set does mutate the original set.
original = new_sets.make([1, 2, 3])
after_removal = new_sets.remove(original, 3)
asserts.new_set_equals(env, original, after_removal)
unittest.end(env)
remove_test = unittest.make(_remove_test)
def new_sets_test_suite():
"""Creates the test targets and test suite for new_sets.bzl tests."""
unittest.suite(
"new_sets_tests",
disjoint_test,
intersection_test,
is_equal_test,
is_subset_test,
difference_test,
union_test,
to_list_test,
make_test,
copy_test,
insert_test,
contains_test,
length_test,
remove_test,
)
| 39.850187
| 120
| 0.718327
| 1,789
| 10,640
| 4.03242
| 0.080492
| 0.22997
| 0.228722
| 0.154699
| 0.720821
| 0.711533
| 0.704741
| 0.631411
| 0.611589
| 0.56723
| 0
| 0.020051
| 0.114098
| 10,640
| 267
| 121
| 39.850187
| 0.745279
| 0.178571
| 0
| 0.208054
| 0
| 0.006711
| 0.01413
| 0
| 0
| 0
| 0
| 0
| 0.483221
| 1
| 0.09396
| false
| 0
| 0
| 0
| 0.09396
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
215841676e09d8f7cdd835fb5efcdc5ebc9672d4
| 135
|
py
|
Python
|
trans/__init__.py
|
squncle/Simple-GUI-Translator
|
ef39a84aa96c03289058108f3ee6ac9055993ff3
|
[
"MIT"
] | null | null | null |
trans/__init__.py
|
squncle/Simple-GUI-Translator
|
ef39a84aa96c03289058108f3ee6ac9055993ff3
|
[
"MIT"
] | null | null | null |
trans/__init__.py
|
squncle/Simple-GUI-Translator
|
ef39a84aa96c03289058108f3ee6ac9055993ff3
|
[
"MIT"
] | null | null | null |
from .baidu import Baidu
from .tencent import Tencent
from .caiyun import Caiyun
from .google import Google
from .youdao import Youdao
| 22.5
| 28
| 0.814815
| 20
| 135
| 5.5
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 135
| 5
| 29
| 27
| 0.956522
| 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
|
215e8588a92642858e60c19c68ece8084adea47e
| 479
|
py
|
Python
|
calcApp/stack.py
|
yfd-01/calcApp
|
bc0a72f42216461d10781e7f0a5fa597579cded5
|
[
"MIT"
] | null | null | null |
calcApp/stack.py
|
yfd-01/calcApp
|
bc0a72f42216461d10781e7f0a5fa597579cded5
|
[
"MIT"
] | null | null | null |
calcApp/stack.py
|
yfd-01/calcApp
|
bc0a72f42216461d10781e7f0a5fa597579cded5
|
[
"MIT"
] | null | null | null |
class Stack:
__stack = None
def __init__(self):
self.__stack = []
def push(self, val):
self.__stack.append(val)
def peek(self):
if len(self.__stack) != 0:
return self.__stack[len(self.__stack) - 1]
def pop(self):
if len(self.__stack) != 0:
return self.__stack.pop()
def len(self):
return len(self.__stack)
def convert_to_list(self):
return self.__stack
| 21.772727
| 55
| 0.536534
| 59
| 479
| 3.915254
| 0.322034
| 0.350649
| 0.207792
| 0.112554
| 0.294372
| 0.294372
| 0.294372
| 0.294372
| 0.294372
| 0
| 0
| 0.009585
| 0.346555
| 479
| 22
| 56
| 21.772727
| 0.728435
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0
| 0.125
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
0d2491969632897de3e48e2e08efc0d33c9210ec
| 72
|
py
|
Python
|
gym_flock/envs/formation/__init__.py
|
katetolstaya/gym-flock
|
3236d1dafcb1b9be0cf78b471672e8becb2d37af
|
[
"MIT"
] | 19
|
2019-07-29T22:19:58.000Z
|
2022-01-27T04:38:38.000Z
|
gym_flock/envs/formation/__init__.py
|
henghenghahei849/gym-flock
|
b09bdfbbe4a96fe052958d1f9e1e9dd314f58419
|
[
"MIT"
] | null | null | null |
gym_flock/envs/formation/__init__.py
|
henghenghahei849/gym-flock
|
b09bdfbbe4a96fe052958d1f9e1e9dd314f58419
|
[
"MIT"
] | 5
|
2019-10-03T14:44:49.000Z
|
2021-12-09T20:39:39.000Z
|
from gym_flock.envs.formation.formation_flying import FormationFlyingEnv
| 72
| 72
| 0.916667
| 9
| 72
| 7.111111
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041667
| 72
| 1
| 72
| 72
| 0.927536
| 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
|
b4936c158bff68cb6de6c3dab365f26b2a218acc
| 215
|
py
|
Python
|
setup.py
|
TylerNakamura/extract-reddit-page-links
|
8134f6d686e622a2e2ac47ea3782b0e36924a2a7
|
[
"MIT"
] | null | null | null |
setup.py
|
TylerNakamura/extract-reddit-page-links
|
8134f6d686e622a2e2ac47ea3782b0e36924a2a7
|
[
"MIT"
] | null | null | null |
setup.py
|
TylerNakamura/extract-reddit-page-links
|
8134f6d686e622a2e2ac47ea3782b0e36924a2a7
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
setup(
name='extract-reddit-page-links',
version='0.1dev',
packages=['extract-reddit-page-links', ],
license='MIT',
long_description=open('README.md').read(),
)
| 21.5
| 46
| 0.665116
| 27
| 215
| 5.259259
| 0.814815
| 0.183099
| 0.239437
| 0.309859
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010989
| 0.153488
| 215
| 9
| 47
| 23.888889
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0.316279
| 0.232558
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.125
| 0
| 0.125
| 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
|
b4abd6a76b489666e8dd5799a2308f39f4a45a6a
| 338
|
py
|
Python
|
desktop/core/ext-py/xlwt-1.3.0/tests/utils.py
|
zhoudahong/hue
|
9ec1b48e6abf08e81b74fa5fc4a03770e37aff92
|
[
"Apache-2.0"
] | 5,079
|
2015-01-01T03:39:46.000Z
|
2022-03-31T07:38:22.000Z
|
desktop/core/ext-py/xlwt-1.3.0/tests/utils.py
|
zhoudahong/hue
|
9ec1b48e6abf08e81b74fa5fc4a03770e37aff92
|
[
"Apache-2.0"
] | 1,623
|
2015-01-01T08:06:24.000Z
|
2022-03-30T19:48:52.000Z
|
desktop/core/ext-py/xlwt-1.3.0/tests/utils.py
|
zhoudahong/hue
|
9ec1b48e6abf08e81b74fa5fc4a03770e37aff92
|
[
"Apache-2.0"
] | 2,033
|
2015-01-04T07:18:02.000Z
|
2022-03-28T19:55:47.000Z
|
import os
from os.path import join, dirname, abspath, isdir
def in_tst_dir(filename):
return join(dirname(abspath(__file__)), filename)
def in_tst_output_dir(filename):
output_dir = join(dirname(abspath(__file__)), 'output')
if not isdir(output_dir):
os.mkdir(output_dir, 0o755)
return join(output_dir, filename)
| 30.727273
| 59
| 0.733728
| 49
| 338
| 4.714286
| 0.408163
| 0.194805
| 0.233766
| 0.190476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014035
| 0.156805
| 338
| 11
| 60
| 30.727273
| 0.796491
| 0
| 0
| 0
| 0
| 0
| 0.017699
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.111111
| 0.666667
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
370ceba51f3af08befbeaf2e5f0031d5d640c5c6
| 355
|
py
|
Python
|
01-Explicit-Indexes/07-SlicingInBothDirections.py
|
Pegasus-01/Data-manipulation-and-merging-with-pandas
|
5346678d25820d9fe352bd70294484ecd96fccf7
|
[
"Apache-2.0"
] | 1
|
2020-10-18T16:42:28.000Z
|
2020-10-18T16:42:28.000Z
|
01-Explicit-Indexes/07-SlicingInBothDirections.py
|
Pegasus-01/Data-manipulation-and-merging-with-pandas
|
5346678d25820d9fe352bd70294484ecd96fccf7
|
[
"Apache-2.0"
] | null | null | null |
01-Explicit-Indexes/07-SlicingInBothDirections.py
|
Pegasus-01/Data-manipulation-and-merging-with-pandas
|
5346678d25820d9fe352bd70294484ecd96fccf7
|
[
"Apache-2.0"
] | null | null | null |
# Subset rows from India, Hyderabad to Iraq, Baghdad
print(temperatures_srt.loc[("India", "Hyderabad"):("Iraq", "Baghdad")])
# Subset columns from date to avg_temp_c
print(temperatures_srt.loc[:, "date":"avg_temp_c"])
# Subset in both directions at once
print(temperatures_srt.loc[("India", "Hyderabad"):("Iraq", "Baghdad"), "date":"avg_temp_c"])
| 44.375
| 92
| 0.709859
| 50
| 355
| 4.86
| 0.44
| 0.17284
| 0.246914
| 0.283951
| 0.395062
| 0.395062
| 0.395062
| 0.395062
| 0
| 0
| 0
| 0
| 0.112676
| 355
| 8
| 92
| 44.375
| 0.771429
| 0.346479
| 0
| 0
| 0
| 0
| 0.351351
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 1
|
0
| 5
|
3720ad6ec59985d71a7b4a655aa8174115aa2572
| 685
|
py
|
Python
|
pyboletox/Contracts/Cnab/Retorno/Cnab400/trailer.py
|
lucasbrahm/pyboletox
|
d7cfff477622a4d5df255045428325f04fbe695a
|
[
"MIT"
] | 1
|
2022-03-14T12:22:42.000Z
|
2022-03-14T12:22:42.000Z
|
pyboletox/Contracts/Cnab/Retorno/Cnab400/trailer.py
|
lucasbrahm/pyboletox
|
d7cfff477622a4d5df255045428325f04fbe695a
|
[
"MIT"
] | null | null | null |
pyboletox/Contracts/Cnab/Retorno/Cnab400/trailer.py
|
lucasbrahm/pyboletox
|
d7cfff477622a4d5df255045428325f04fbe695a
|
[
"MIT"
] | 1
|
2022-03-14T12:22:27.000Z
|
2022-03-14T12:22:27.000Z
|
from abc import ABCMeta, abstractmethod
class Trailer(metaclass=ABCMeta):
@abstractmethod
def getValorTitulos(self):
pass
@abstractmethod
def getAvisos(self):
pass
@abstractmethod
def getQuantidadeTitulos(self):
pass
@abstractmethod
def getQuantidadeLiquidados(self):
pass
@abstractmethod
def getQuantidadeBaixados(self):
pass
@abstractmethod
def getQuantidadeEntradas(self):
pass
@abstractmethod
def getQuantidadeAlterados(self):
pass
@abstractmethod
def getQuantidadeErros(self):
pass
@abstractmethod
def toDict(self):
pass
| 16.707317
| 39
| 0.645255
| 54
| 685
| 8.185185
| 0.37037
| 0.346154
| 0.39819
| 0.452489
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.294891
| 685
| 40
| 40
| 17.125
| 0.915114
| 0
| 0
| 0.62069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.310345
| false
| 0.310345
| 0.034483
| 0
| 0.37931
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
2ebbe235147cdfe422bed6d75cd56efe69af50e0
| 903
|
py
|
Python
|
challenges/filtered/global_skills_hub/q001/sorting_bank_accounts_test.py
|
Joeffison/coding_challenges
|
0f0c5c2c3dad3a5aabfb66d66c5b6a89bff374ea
|
[
"MIT"
] | 1
|
2018-02-27T15:53:17.000Z
|
2018-02-27T15:53:17.000Z
|
challenges/filtered/global_skills_hub/q001/sorting_bank_accounts_test.py
|
Joeffison/coding_challenges
|
0f0c5c2c3dad3a5aabfb66d66c5b6a89bff374ea
|
[
"MIT"
] | null | null | null |
challenges/filtered/global_skills_hub/q001/sorting_bank_accounts_test.py
|
Joeffison/coding_challenges
|
0f0c5c2c3dad3a5aabfb66d66c5b6a89bff374ea
|
[
"MIT"
] | 1
|
2021-04-18T09:43:21.000Z
|
2021-04-18T09:43:21.000Z
|
#!/usr/bin/env python3
import unittest
from challenges.filtered.global_skills_hub.q001.sorting_bank_accounts_v001 import solution
class SortingBankAccountsTestCase(unittest.TestCase):
def test_description_examples(self):
self.assertEqual(self.__format_solution(['03 10103538 2222 1233 6160 0141 1', '03 10103538 2222 1233 6160 0142 1',
'30 10103538 2222 1233 6160 0141 2', '30 10103538 2222 1233 6160 0142 2']),
solution(['03 10103538 2222 1233 6160 0141', '03 10103538 2222 1233 6160 0142',
'30 10103538 2222 1233 6160 0141', '30 10103538 2222 1233 6160 0142',
'30 10103538 2222 1233 6160 0141', '30 10103538 2222 1233 6160 0142']))
def __format_solution(self, response):
return '\n'.join(response) + '\n\n'
if __name__ == '__main__':
unittest.main()
| 37.625
| 120
| 0.646733
| 114
| 903
| 4.938596
| 0.394737
| 0.213144
| 0.284192
| 0.35524
| 0.490231
| 0.490231
| 0.348135
| 0.227353
| 0.227353
| 0.227353
| 0
| 0.408133
| 0.264673
| 903
| 23
| 121
| 39.26087
| 0.439759
| 0.023256
| 0
| 0
| 0
| 0
| 0.376844
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 1
| 0.153846
| false
| 0
| 0.153846
| 0.076923
| 0.461538
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2ed67dee1eb34e8d9a3dd982c884631d9d625ce4
| 165
|
py
|
Python
|
app/projects/__init__.py
|
hwc0919/TsyDigitalRailway
|
34d682f698b0b8bf066719c06fa431d2ab1436a0
|
[
"CC0-1.0"
] | null | null | null |
app/projects/__init__.py
|
hwc0919/TsyDigitalRailway
|
34d682f698b0b8bf066719c06fa431d2ab1436a0
|
[
"CC0-1.0"
] | null | null | null |
app/projects/__init__.py
|
hwc0919/TsyDigitalRailway
|
34d682f698b0b8bf066719c06fa431d2ab1436a0
|
[
"CC0-1.0"
] | null | null | null |
# 不能更改代码顺序!!!请勿使用IDE的代码格式化功能!!!
from flask import Blueprint # 第一行
projects = Blueprint('projects', __name__) # 第二行
from . import views # 第三行
| 20.625
| 51
| 0.630303
| 16
| 165
| 6.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 165
| 7
| 52
| 23.571429
| 0.826446
| 0.248485
| 0
| 0
| 0
| 0
| 0.067227
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 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
| 0
| 1
| 0
| 1
| 1
|
0
| 5
|
2c180777fca86930d59686554a1512e4c61304cf
| 134
|
py
|
Python
|
wcctrl/type/light.py
|
afri-bit/word-clock-de
|
86283a8b96b2a8965a13fd2b55b992fe558b6bdf
|
[
"MIT"
] | 1
|
2021-05-30T19:39:34.000Z
|
2021-05-30T19:39:34.000Z
|
wcctrl/type/light.py
|
afri-bit/word-clock-de
|
86283a8b96b2a8965a13fd2b55b992fe558b6bdf
|
[
"MIT"
] | null | null | null |
wcctrl/type/light.py
|
afri-bit/word-clock-de
|
86283a8b96b2a8965a13fd2b55b992fe558b6bdf
|
[
"MIT"
] | null | null | null |
class Light:
def __init__(self, always_on: bool, timeout: int):
self.always_on = always_on
self.timeout = timeout
| 26.8
| 54
| 0.656716
| 18
| 134
| 4.5
| 0.555556
| 0.296296
| 0.296296
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253731
| 134
| 5
| 55
| 26.8
| 0.81
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 0
| 0
|
0
| 5
|
2c2f18ce2f478b0ac680545cee6c24d78aa08859
| 25,165
|
py
|
Python
|
esileapclient/tests/functional/v1/test_time.py
|
tzumainn/python-esileapclient
|
9d41149df3434596bbaa8cc6fe9fe4726997c7e6
|
[
"Apache-1.1"
] | null | null | null |
esileapclient/tests/functional/v1/test_time.py
|
tzumainn/python-esileapclient
|
9d41149df3434596bbaa8cc6fe9fe4726997c7e6
|
[
"Apache-1.1"
] | null | null | null |
esileapclient/tests/functional/v1/test_time.py
|
tzumainn/python-esileapclient
|
9d41149df3434596bbaa8cc6fe9fe4726997c7e6
|
[
"Apache-1.1"
] | null | null | null |
import time
import pytest
from datetime import datetime, timedelta
from tempest.lib.exceptions import CommandFailed
import esileapclient.tests.functional.utils.esi_interfaces as esi
from esileapclient.tests.functional.base import ESIBaseTestClass
from esileapclient.tests.functional.utils.dummy_node import DummyNode
class TimeTests(ESIBaseTestClass):
@classmethod
def setUpClass(cls):
super(TimeTests, cls).setUpClass()
cls._init_dummy_project(cls, 'main', 'owner')
cls._init_dummy_project(cls, 'subproj1', ['owner', 'lessee'],
parent='main')
cls._init_dummy_project(cls, 'subproj2', 'lessee', parent='main')
def setUp(self):
super(TimeTests, self).setUp()
self.clients = TimeTests.clients
self.users = TimeTests.users
self.projects = TimeTests.projects
self.dummy_node = DummyNode(TimeTests.config['dummy_node_dir'],
self.projects['main']['id'])
def test_offer_claim_multiple(self):
""" Tests that more that one lessee can claim the same offer provided
that the times specified do not conflict.
Test steps:
1) (owner) Create an offer for an owned node.
2) Check that offer details were returned.
3) Record what the time will be in five minutes.
4) (subproj1) Claim the offer from step 1, starting at the time
recorded in step 3 and ending 30 minutes from then.
5) Check that lease details were returned.
6) (subproj2) Claim the offer from step 1, starting five minutes
after the end time of the lease created in step 4 and ending
30 minutes from then.
7) Check that lease details were returned.
8) (owner) Check that both leases show up when listing leases.
9) (subproj2) (cleanup) Delete the lease created in step 6.
10) (subproj1) (cleanup) Delete the lease created in step 4.
11) (owner) (cleanup) Delete the offer created in step 1. """
offer = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node')
self.assertNotEqual(offer, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer['uuid'])
time_now = datetime.now()
lease1_start_time = time_now + timedelta(minutes=5)
lease1_end_time = lease1_start_time + timedelta(minutes=30)
lease2_start_time = lease1_end_time + timedelta(minutes=5)
lease2_end_time = lease2_start_time + timedelta(minutes=30)
lease1 = esi.offer_claim(self.clients['subproj1-lessee'],
offer['uuid'],
start_time=str(lease1_start_time),
end_time=str(lease1_end_time))
self.assertNotEqual(lease1, {})
self.addCleanup(esi.lease_delete,
self.clients['subproj1-lessee'],
lease1['uuid'])
lease2 = esi.offer_claim(self.clients['subproj2-lessee'],
offer['uuid'],
start_time=str(lease2_start_time),
end_time=str(lease2_end_time))
self.assertNotEqual(lease2, {})
self.addCleanup(esi.lease_delete,
self.clients['subproj2-lessee'],
lease2['uuid'])
listings = esi.lease_list(self.clients['main-owner'])
uuid_listings = [x['UUID'] for x in listings]
self.assertNotEqual(listings, [])
for lease_id in lease1['uuid'], lease2['uuid']:
self.assertIn(lease_id, uuid_listings)
def test_offer_create_multiple(self):
""" Tests that more than one offer can be created for the same
resource provided that the times specified do not conflict.
Test steps:
1) Record what the time will be in five minutes.
2) Create an offer for an owned node, starting at the time
recorded in step 1 and ending 30 minutes from then.
3) Check that offer details were returned.
4) Create an offer for the same node, starting five minutes after
the end time of the offer created in step 2 and ending 30
minutes from then.
5) Check that offer details were returned.
6) Check that both offers show up when listing offers.
7) (cleanup) Delete the offer created in step 4.
8) (cleanup) Delete the offer created in step 2. """
time_now = datetime.now()
offer1_start_time = time_now + timedelta(minutes=5)
offer1_end_time = offer1_start_time + timedelta(minutes=30)
offer2_start_time = offer1_end_time + timedelta(minutes=5)
offer2_end_time = offer2_start_time + timedelta(minutes=30)
offer1 = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
start_time=str(offer1_start_time),
end_time=str(offer1_end_time))
self.assertNotEqual(offer1, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer1['uuid'])
offer2 = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
start_time=str(offer2_start_time),
end_time=str(offer2_end_time))
self.assertNotEqual(offer2, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer2['uuid'])
listings = esi.offer_list(self.clients['main-owner'])
uuid_listings = [x['UUID'] for x in listings]
self.assertNotEqual(listings, [])
for offer_id in offer1['uuid'], offer2['uuid']:
self.assertIn(offer_id, uuid_listings)
def test_lease_create_multiple(self):
""" Tests that more than one lease can be created for the same
resource provided that the times specified do not conflict.
Test steps:
1) Record what the time will be in five minutes.
2) Create a lease on an owned node, starting at the time recorded
in step 1 and ending 30 minutes from then.
3) Check that lease details were returned.
4) Create a lease on the same node, starting five minutes after
the end time of the lease created in step 2 and ending 30
minutes from then.
5) Check that lease details were returned.
6) Check that both lease show up when listing leases.
7) (cleanup) Delete the lease created in step 4.
8) (cleanup) Delete the lease created in step 2. """
time_now = datetime.now()
lease1_start_time = time_now + timedelta(minutes=5)
lease1_end_time = lease1_start_time + timedelta(minutes=30)
lease2_start_time = lease1_end_time + timedelta(minutes=5)
lease2_end_time = lease2_start_time + timedelta(minutes=30)
lease1 = esi.lease_create(self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['main']['name'],
resource_type='dummy_node',
start_time=str(lease1_start_time),
end_time=str(lease1_end_time))
self.assertNotEqual(lease1, {})
self.addCleanup(esi.lease_delete,
self.clients['main-owner'],
lease1['uuid'])
lease2 = esi.lease_create(self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['main']['name'],
resource_type='dummy_node',
start_time=str(lease2_start_time),
end_time=str(lease2_end_time))
self.assertNotEqual(lease2, {})
self.addCleanup(esi.lease_delete,
self.clients['main-owner'],
lease2['uuid'])
listings = esi.lease_list(self.clients['main-owner'])
uuid_listings = [x['UUID'] for x in listings]
self.assertNotEqual(listings, [])
for lease_id in lease1['uuid'], lease2['uuid']:
self.assertIn(lease_id, uuid_listings)
@pytest.mark.negative
def test_offer_claim_conflict(self):
""" Tests that two lessees cannot make overlapping claims on the
same offer.
Test steps:
1) (owner) Create an offer for an owned node.
2) Check that offer details were returned.
3) Record the current time.
4) (subproj1) Claim the offer from step 1, ending 30 minutes
after the time recorded in step 3.
5) Check that lease details were returned.
6) (subproj2) Attempt to claim the offer from step 1, starting
15 minutes after the time recorded in step 3, and ending 30
minutes after that.
7) Check that the command failed. (returned non-zero exit code)
8) Check that the proper error message was sent to stderr.
9) (subproj1) (cleanup) Delete the lease created in step 4.
10) (owner) (cleanup) Delete the offer created in step 1. """
offer = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node')
self.assertNotEqual(offer, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer['uuid'])
time_now = datetime.now()
lease1_end_time = time_now + timedelta(minutes=30)
lease2_start_time = time_now + timedelta(minutes=15)
lease2_end_time = lease2_start_time + timedelta(minutes=30)
lease1 = esi.offer_claim(self.clients['subproj1-lessee'],
offer['uuid'],
end_time=str(lease1_end_time))
self.assertNotEqual(lease1, {})
self.addCleanup(esi.lease_delete,
self.clients['subproj1-lessee'],
lease1['uuid'])
e = self.assertRaises(CommandFailed,
esi.offer_claim,
self.clients['subproj2-lessee'],
offer['uuid'],
start_time=str(lease2_start_time),
end_time=str(lease2_end_time))
err = ('Offer %s has no availabilities at given time range %s, %s' %
(offer['uuid'], str(lease2_start_time), str(lease2_end_time)))
self.assertIn(err, e.stderr.decode())
@pytest.mark.negative
def test_offer_create_conflict(self):
""" Tests that two overlapping offers cannot be created for the
same node.
Test steps:
1) Record the current time.
2) Create an offer for an owned node, ending 30 minutes after the
time recorded in step 1.
3) Check that offer details were returned.
4) Attempt to create another offer for the same node as in step 2,
starting 15 minutes after the time recorded in step 1, and
ending 30 minutes after that.
5) Check that the command failed. (returned non-zero exit code)
6) Check that the proper error message was sent to stderr.
7) (cleanup) Delete the offer created in step 2. """
time_now = datetime.now()
offer1_end_time = time_now + timedelta(minutes=30)
offer2_start_time = time_now + timedelta(minutes=15)
offer2_end_time = offer2_start_time + timedelta(minutes=30)
offer1 = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
end_time=str(offer1_end_time))
self.assertNotEqual(offer1, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer1['uuid'])
e = self.assertRaises(CommandFailed,
esi.offer_create,
self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
start_time=str(offer2_start_time),
end_time=str(offer2_end_time))
self.assertIn('Time conflict for dummy_node %s.' %
self.dummy_node.uuid,
e.stderr.decode())
@pytest.mark.negative
def test_lease_create_conflict(self):
""" Tests that two overlapping leases cannot be created on the
same node.
Test steps:
1) Record the current time.
2) Create a lease on an owned node, ending 30 minutes after the
time recorded in step 1.
3) Check that lease details were returned.
4) Attempt to create another lease on the same node as in step 2,
starting 15 minutes after the time recorded in step 1, and
ending 30 minutes after that.
5) Check that the command failed. (returned non-zero exit code)
6) Check that the proper error message was sent to stderr.
7) (cleanup) Delete the lease created in step 2. """
time_now = datetime.now()
lease1_end_time = time_now + timedelta(minutes=30)
lease2_start_time = time_now + timedelta(minutes=15)
lease2_end_time = lease2_start_time + timedelta(minutes=30)
lease1 = esi.lease_create(self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['main']['name'],
resource_type='dummy_node',
end_time=str(lease1_end_time))
self.assertNotEqual(lease1, {})
self.addCleanup(esi.lease_delete,
self.clients['main-owner'],
lease1['uuid'])
e = self.assertRaises(CommandFailed,
esi.lease_create,
self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['main']['name'],
resource_type='dummy_node',
start_time=str(lease2_start_time),
end_time=str(lease2_end_time))
self.assertIn('Time conflict for dummy_node %s.' %
self.dummy_node.uuid,
e.stderr.decode())
@pytest.mark.negative
def test_offer_claim_out_of_range(self):
""" Tests to ensure offers cannot be claimed for a time period that
is outside of the range of the offer's availability.
Test steps:
1) Record the current time.
2) (owner) Create an offer for an owned node, starting 15 minutes
after the time recorded in step 1, and ending 30 minutes
after that.
3) Check that offer details were returned.
4) Repeat steps 5 thru 7 with the following ranges (times are
relative to the time recorded in step 1):
- 5 minutes after thru 20 minutes after
- 20 minutes after thru 60 minutes after
- 5 minutes after thru 60 minutes after
5) (subproj1) Attempt to claim the offer created in step 2 for a
time range outside of what was specified during creation.
6) Check that the command failed. (returned non-zero exit code)
7) Check that the proper error message was sent to stderr.
8) (owner) (cleanup) Delete the offer created in step 2. """
time_now = datetime.now()
offer_start_time = time_now + timedelta(minutes=15)
offer_end_time = time_now + timedelta(minutes=30)
claim_time_early = time_now + timedelta(minutes=5)
claim_time_valid = offer_start_time + timedelta(minutes=15)
claim_time_late = offer_end_time + timedelta(minutes=15)
offer = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
start_time=str(offer_start_time),
end_time=str(offer_end_time))
self.assertNotEqual(offer, {})
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer['uuid'])
for (start, end) in ((claim_time_early, claim_time_valid),
(claim_time_valid, claim_time_late),
(claim_time_early, claim_time_late)):
err = ('Offer %s has no availabilities at given time range %s, %s.'
% (offer['uuid'], str(start), str(end)))
e = self.assertRaises(CommandFailed,
esi.offer_claim,
self.clients['subproj1-lessee'],
offer['uuid'],
start_time=str(start),
end_time=str(end))
self.assertIn(err, e.stderr.decode())
@pytest.mark.negative
@pytest.mark.slow
def test_offer_create_sublease_out_of_range(self):
""" Tests to ensure an offer for a leased node cannot be created for
a time period outside of the original lease's availability.
Test steps:
1) Record the current time.
2) (main-owner) Create a lease for an owned node, ending 30
minutes after the time recorded in step 1.
3) Check that lease details were returned.
4) Wait for the esi-leap manager service to move the lease from
the created state to the active state.
5) (subproj1-owner) Attempt to create an offer on the node leased
in step 2, starting 15 minutes after the time recorded in
step 1, and ending 45 minutes after.
6) Check that the command failed. (returned non-zero exit code)
7) Check that the proper error message was sent to stderr.
8) (main-owner) (cleanup) Delete the offer created in step 2. """
time_now = datetime.now()
lease_end_time = time_now + timedelta(minutes=30)
offer_start_time = time_now + timedelta(minutes=15)
offer_end_time = time_now + timedelta(minutes=45)
lease = esi.lease_create(self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['subproj1']['name'],
resource_type='dummy_node',
end_time=str(lease_end_time))
self.assertNotEqual(lease, {})
self.addCleanup(esi.lease_delete,
self.clients['main-owner'],
lease['uuid'])
time.sleep(65)
# NOTE: This error should be handled differently. When the way this
# error is handled changes, this too should change.
err = 'Access was denied to dummy_node %s.' % self.dummy_node.uuid
e = self.assertRaises(CommandFailed,
esi.offer_create,
self.clients['subproj1-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
start_time=str(offer_start_time),
end_time=str(offer_end_time))
self.assertIn(err, e.stderr.decode())
@pytest.mark.negative
@pytest.mark.slow
def test_offer_expire(self):
""" Tests to ensure expired offers cannot be claimed and that they
do not show up in the list of offers after expiring.
Test steps:
1) Record what the time will be in 30 seconds.
2) (owner) Create an offer for an owned node that ends at the time
recorded in step 1.
3) Check that offer details were returned and that the offer's
status is 'available'.
4) Wait 100 seconds to allow the esi-leap manager to move the
offer from the 'available' state to the 'expired' state.
5) (owner) Check that state of the offer from step 2 is 'expired'.
6) (subproj1) Attempt to claim the expired offer.
7) Check that the command failed. (returned non-zero exit code)
8) Check that the proper error message was sent to stderr.
9) (subproj1) Check that the offer does not show up in the list
of available offers.
10) (owner) (cleanup) Delete the offer from step 2 if needed. """
time_now = datetime.now()
offer_end_time = time_now + timedelta(seconds=30)
offer = esi.offer_create(self.clients['main-owner'],
self.dummy_node.uuid,
resource_type='dummy_node',
lessee=self.projects['subproj1']['name'],
end_time=str(offer_end_time))
self.assertNotEqual(offer, {})
# NOTE: this ensures the offer is deleted, ignoring failed attempts
# to delete offers that expired correctly.
self.addCleanup(esi.offer_delete,
self.clients['main-owner'],
offer['uuid'],
fail_ok=True)
self.assertEqual(offer['status'], 'available')
time.sleep(100)
details = esi.offer_show(self.clients['main-owner'], offer['uuid'])
self.assertEqual(details['status'], 'expired')
e = self.assertRaises(CommandFailed,
esi.offer_claim,
self.clients['subproj1-lessee'],
offer['uuid'])
self.assertIn('Offer with name or uuid %s not found.' % offer['uuid'],
e.stderr.decode())
listings = esi.offer_list(self.clients['subproj1-lessee'])
self.assertNotIn(offer['uuid'], [x['UUID'] for x in listings])
@pytest.mark.negative
@pytest.mark.slow
def test_lease_expire(self):
""" Tests to ensure expired leases do not show up in the list of
leases after expiring.
Test steps:
1) Record what the time will be in 30 seconds.
2) Create an lease on an owned node that ends at the time recorded
in step 1.
3) Check that lease details were returned and that the lease's
status is either 'created' or 'active'.
4) Wait 100 seconds to allow the esi-leap manager to move the
lease into the 'expired' state.
5) Check that state of the lease from step 2 is 'expired'.
6) Check that the lease does not show up in the list
of leases.
7) (cleanup) Delete the lease from step 2 if needed. """
time_now = datetime.now()
lease_end_time = time_now + timedelta(seconds=30)
lease = esi.lease_create(self.clients['main-owner'],
self.dummy_node.uuid,
self.projects['main']['name'],
resource_type='dummy_node',
end_time=str(lease_end_time))
self.assertNotEqual(lease, {})
# NOTE: this ensures the lease is deleted, ignoring failed attempts
# to delete leases that expired correctly.
self.addCleanup(esi.lease_delete,
self.clients['main-owner'],
lease['uuid'],
fail_ok=True)
self.assertIn(lease['status'], ('created', 'active'))
time.sleep(100)
details = esi.lease_show(self.clients['main-owner'], lease['uuid'])
self.assertEqual(details['status'], 'expired')
listings = esi.lease_list(self.clients['main-owner'])
self.assertNotIn(lease['uuid'], [x['UUID'] for x in listings])
| 50.229541
| 79
| 0.555971
| 2,928
| 25,165
| 4.650615
| 0.081284
| 0.030844
| 0.03525
| 0.047
| 0.831901
| 0.789895
| 0.748917
| 0.698245
| 0.655504
| 0.620548
| 0
| 0.023143
| 0.362964
| 25,165
| 500
| 80
| 50.33
| 0.826274
| 0.304351
| 0
| 0.734899
| 0
| 0
| 0.078423
| 0
| 0
| 0
| 0
| 0
| 0.130872
| 1
| 0.040268
| false
| 0
| 0.02349
| 0
| 0.067114
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
259c44b174c4fa3d9daa485363b2ad4f55eb0b8a
| 1,633
|
py
|
Python
|
test_perimeter.py
|
silverscorpio/stl-to-voxel
|
0faf8394b2e5f93255863563a664f1a3cd367ff5
|
[
"MIT"
] | null | null | null |
test_perimeter.py
|
silverscorpio/stl-to-voxel
|
0faf8394b2e5f93255863563a664f1a3cd367ff5
|
[
"MIT"
] | null | null | null |
test_perimeter.py
|
silverscorpio/stl-to-voxel
|
0faf8394b2e5f93255863563a664f1a3cd367ff5
|
[
"MIT"
] | null | null | null |
import random
import perimeter
import numpy as np
import unittest
import slice
from util import printBigArray
class PerimeterTest(unittest.TestCase):
def test_lines_to_pixels(self):
test = [[(0, 0, 0), (3, 0, 0)],
[(9, 9, 0), (3, 9, 0)],
[(3, 0, 0), (9, 9, 0)],
[(3, 9, 0), (0, 0, 0)]]
actual = np.zeros((13, 13), dtype=bool)
perimeter.linesToVoxels(test,actual)
expected = [
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
]
self.assertEqual(expected, actual.astype(int).tolist())
def test_cross_line(self):
self.assertTrue(perimeter.onLine([(0,0,0),(2,2,0)],1,1))
self.assertTrue(perimeter.onLine([(2,2,0),(0,0,0)],1,1))
self.assertFalse(perimeter.onLine([(2,2,0),(0,0,0)],2,1))
self.assertFalse(perimeter.onLine([(2,2,0),(0,0,0)],1,2))
self.assertTrue(perimeter.onLine([(0,0,0),(4,2,0)],2,1))
if __name__ == '__main__':
unittest.main()
| 37.113636
| 65
| 0.429271
| 309
| 1,633
| 2.226537
| 0.145631
| 0.372093
| 0.475291
| 0.534884
| 0.507267
| 0.507267
| 0.507267
| 0.414244
| 0.414244
| 0.380814
| 0
| 0.218433
| 0.335579
| 1,633
| 43
| 66
| 37.976744
| 0.415668
| 0
| 0
| 0.105263
| 0
| 0
| 0.004899
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 1
| 0.052632
| false
| 0
| 0.157895
| 0
| 0.236842
| 0.026316
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
25d6841e2e077de30b9a97b6ff1a2678a2a15903
| 185
|
py
|
Python
|
Soft/Python/Colorimeter/__init__.py
|
Curedbio/Colorimeter
|
01622cf043dfebf23f9bdaebdf9389f21c4cdc3e
|
[
"Apache-2.0"
] | null | null | null |
Soft/Python/Colorimeter/__init__.py
|
Curedbio/Colorimeter
|
01622cf043dfebf23f9bdaebdf9389f21c4cdc3e
|
[
"Apache-2.0"
] | null | null | null |
Soft/Python/Colorimeter/__init__.py
|
Curedbio/Colorimeter
|
01622cf043dfebf23f9bdaebdf9389f21c4cdc3e
|
[
"Apache-2.0"
] | 1
|
2021-12-24T14:59:56.000Z
|
2021-12-24T14:59:56.000Z
|
from colorimeter_serial import *
import set_matplotlib_backend
import main_window
import table_widget
import standard_curve
import constants
import import_export
import dependency_hack
| 20.555556
| 32
| 0.897297
| 25
| 185
| 6.32
| 0.68
| 0.151899
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097297
| 185
| 8
| 33
| 23.125
| 0.946108
| 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
|
25f6aeff48af7245e980145e82b4620ac62b3ac6
| 99
|
py
|
Python
|
AC_CDE_code/utils/__init__.py
|
Jiang-HB/AC_CDQ
|
4b4ec2d611c4481ad0b99cf7ea79eb23014a0325
|
[
"MIT"
] | 7
|
2021-05-03T05:50:14.000Z
|
2022-03-24T15:35:59.000Z
|
AC_CDE_code/utils/__init__.py
|
Jiang-HB/AC_CDQ
|
4b4ec2d611c4481ad0b99cf7ea79eb23014a0325
|
[
"MIT"
] | null | null | null |
AC_CDE_code/utils/__init__.py
|
Jiang-HB/AC_CDQ
|
4b4ec2d611c4481ad0b99cf7ea79eb23014a0325
|
[
"MIT"
] | 1
|
2022-03-25T02:24:53.000Z
|
2022-03-25T02:24:53.000Z
|
from .env import Env, G1, G2, G3
from .estimators import ME, DE, CDE, AC_CDE
from .commons import *
| 33
| 43
| 0.727273
| 18
| 99
| 3.944444
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0.171717
| 99
| 3
| 44
| 33
| 0.829268
| 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
|
d30c28d8d4e2b4ba314f771f7da7fbef712a519f
| 1,440
|
py
|
Python
|
backend/api/migrations/0122_auto_20190425_1514.py
|
amichard/tfrs
|
ed3973016cc5c2ae48999d550a23b41a5ddad807
|
[
"Apache-2.0"
] | 18
|
2017-05-10T21:55:11.000Z
|
2021-03-01T16:41:32.000Z
|
backend/api/migrations/0122_auto_20190425_1514.py
|
amichard/tfrs
|
ed3973016cc5c2ae48999d550a23b41a5ddad807
|
[
"Apache-2.0"
] | 1,167
|
2017-03-04T00:18:43.000Z
|
2022-03-03T22:31:51.000Z
|
backend/api/migrations/0122_auto_20190425_1514.py
|
amichard/tfrs
|
ed3973016cc5c2ae48999d550a23b41a5ddad807
|
[
"Apache-2.0"
] | 48
|
2017-03-09T17:19:39.000Z
|
2022-02-24T16:38:17.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-04-25 15:14
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0121_add_fuel_class_relationships'),
]
operations = [
migrations.AddField(
model_name='defaultcarbonintensitycategory',
name='effective_date',
field=models.DateField(blank=True, null=True),
),
migrations.AddField(
model_name='defaultcarbonintensitycategory',
name='expiration_date',
field=models.DateField(blank=True, null=True),
),
migrations.AddField(
model_name='energydensitycategory',
name='effective_date',
field=models.DateField(blank=True, null=True),
),
migrations.AddField(
model_name='energydensitycategory',
name='expiration_date',
field=models.DateField(blank=True, null=True),
),
migrations.AddField(
model_name='energyeffectivenessratiocategory',
name='effective_date',
field=models.DateField(blank=True, null=True),
),
migrations.AddField(
model_name='energyeffectivenessratiocategory',
name='expiration_date',
field=models.DateField(blank=True, null=True),
),
]
| 31.304348
| 58
| 0.606944
| 128
| 1,440
| 6.664063
| 0.359375
| 0.126612
| 0.161782
| 0.189918
| 0.767878
| 0.767878
| 0.665885
| 0.665885
| 0.665885
| 0.665885
| 0
| 0.02138
| 0.285417
| 1,440
| 45
| 59
| 32
| 0.80758
| 0.047917
| 0
| 0.789474
| 1
| 0
| 0.211257
| 0.145468
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.052632
| 0
| 0.131579
| 0
| 0
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| 0
| null | 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d322b737764c7009a2d55b3d1bcad03cc70830e7
| 6,204
|
py
|
Python
|
employer/forms.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
employer/forms.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
employer/forms.py
|
calumlim/talentalps
|
cc66eabf71e04b6ab5831ee15f57e771cba82279
|
[
"FSFAP"
] | null | null | null |
from django import forms
from user import models as user_models
from talentalps import constants
class ForgotPasswordForm(forms.Form):
email = forms.EmailField(required=True)
class ResetPasswordForm(forms.Form):
password = forms.CharField(widget=(forms.PasswordInput()), required=True)
confirm_password = forms.CharField(widget=(forms.PasswordInput()), required=True)
def clean_password(self):
password = self.cleaned_data.get('password')
n = len(password)
errors = []
if not any(x.isupper() for x in password):
errors.append('Password requires at least 1 capital letter.')
if not any(x.islower() for x in password):
errors.append('Password requires at least 1 lower case letter.')
if not any(x.isdigit() for x in password):
errors.append('Password requires at least 1 digit.')
if n < 9:
errors.append('Password needs to be at least 8 characters long.')
validation_error = "\n".join(errors)
if errors:
raise forms.ValidationError(validation_error)
return password
def clean_confirm_password(self):
password = self.cleaned_data.get('password')
confirm_password = self.cleaned_data.get('confirm_password')
if password != confirm_password:
raise forms.ValidationError("Passwords do not match!")
return confirm_password
class CompanyDetailsCreateForm(forms.ModelForm):
logo_x = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_y = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_w = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_h = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_x = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_y = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_w = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_h = forms.FloatField(required=False, widget=(forms.HiddenInput()))
other_industry_checkbox = forms.BooleanField(required=False)
class Meta:
model = user_models.Company
fields = ['avatar', 'header_image', 'company_name', 'website',
'company_size', 'company_type', 'founded', 'industry', 'other_industry', 'registration_no']
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.fields['other_industry'].required = False
self.fields['website'].required = False
self.fields['industry'] = forms.MultipleChoiceField(choices=constants.INDUSTRY)
def clean_industry(self):
industry = self.cleaned_data.get('industry')
other_industry_checkbox = self.data.get('other_industry_checkbox')
other_industry = self.data.get('other_industry')
if other_industry_checkbox:
if other_industry == '':
self.add_error('industry', forms.ValidationError("This field is required."))
return 'Other'
return '|'.join(industry)
class CompanyCreateDescriptionLocationForm(forms.ModelForm):
class Meta:
model = user_models.Company
fields = ['description', 'address', 'postcode', 'state', 'country']
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.fields['country'].initial = 'MY'
self.fields['country'].required = True
def clean(self):
cleaned_data = super().clean()
country = cleaned_data.get('country')
if country != 'MY':
cleaned_data['state'] = None
return cleaned_data
class EmployerCompanyUpdateForm(forms.ModelForm):
logo_x = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_y = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_w = forms.FloatField(required=False, widget=(forms.HiddenInput()))
logo_h = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_x = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_y = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_w = forms.FloatField(required=False, widget=(forms.HiddenInput()))
header_h = forms.FloatField(required=False, widget=(forms.HiddenInput()))
other_industry_checkbox = forms.BooleanField(required=False)
class Meta:
model = user_models.Company
fields = ['avatar', 'header_image', 'company_name', 'website',
'company_size', 'company_type', 'founded', 'industry', 'other_industry', 'registration_no',
'description', 'address', 'postcode', 'state', 'country']
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.fields['other_industry'].required = False
self.fields['website'].required = False
self.fields['country'].required = True
self.fields['industry'] = forms.MultipleChoiceField(choices=constants.INDUSTRY)
self.fields['company_name'].disabled = True
self.fields['company_name'].required = False
self.fields['registration_no'].disabled = True
self.fields['registration_no'].required = False
if self.instance.other_industry:
self.fields['other_industry_checkbox'].initial = True
def clean(self):
cleaned_data = super().clean()
country = cleaned_data.get('country')
if country != 'MY':
cleaned_data['state'] = None
return cleaned_data
def clean_industry(self):
self.cleaned_data = super().clean()
industry = self.cleaned_data.get('industry')
other_industry_checkbox = self.data.get('other_industry_checkbox')
other_industry = self.data.get('other_industry')
if other_industry_checkbox:
if other_industry == '':
self.add_error('industry', forms.ValidationError("This field is required."))
return 'Other'
return '|'.join(industry)
class CompanyImageUploadForm(forms.ModelForm):
class Meta:
model = user_models.CompanyImage
fields = ['image']
| 43.384615
| 99
| 0.666344
| 680
| 6,204
| 5.908824
| 0.172059
| 0.077651
| 0.091588
| 0.111498
| 0.768044
| 0.736934
| 0.736934
| 0.714783
| 0.632653
| 0.632653
| 0
| 0.001017
| 0.207286
| 6,204
| 143
| 100
| 43.384615
| 0.815982
| 0
| 0
| 0.613445
| 0
| 0
| 0.140532
| 0.01112
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07563
| false
| 0.176471
| 0.02521
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
d332a2f8234c0d7acb92e4b0a6de624d5d3cdcb7
| 681
|
py
|
Python
|
runners/great_expectations/expectations.py
|
omio-labs/richterin
|
c4165fe4910a556f5bba3c7224fed6d35c3fea57
|
[
"MIT"
] | null | null | null |
runners/great_expectations/expectations.py
|
omio-labs/richterin
|
c4165fe4910a556f5bba3c7224fed6d35c3fea57
|
[
"MIT"
] | null | null | null |
runners/great_expectations/expectations.py
|
omio-labs/richterin
|
c4165fe4910a556f5bba3c7224fed6d35c3fea57
|
[
"MIT"
] | null | null | null |
from enum import Enum
from functools import partial
from typing import Dict, Any
from great_expectations.dataset import SqlAlchemyDataset
def not_null(dataset: SqlAlchemyDataset, options: Dict[str, Any]):
return dataset.expect_column_values_to_not_be_null(**options)
def is_null(dataset: SqlAlchemyDataset, options: Dict[str, Any]):
return dataset.expect_column_values_to_be_null(**options)
def values_between(dataset: SqlAlchemyDataset, options: Dict[str, Any]):
return dataset.expect_column_values_to_be_between(**options)
class ExpectationType(Enum):
NOT_NULL = partial(not_null)
NULL = partial(is_null)
VALUES_BETWEEN = partial(values_between)
| 28.375
| 72
| 0.792952
| 91
| 681
| 5.659341
| 0.296703
| 0.040777
| 0.180583
| 0.203884
| 0.454369
| 0.454369
| 0.454369
| 0.454369
| 0.454369
| 0.454369
| 0
| 0
| 0.124816
| 681
| 23
| 73
| 29.608696
| 0.864094
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.285714
| 0.214286
| 1
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d36274fc3bcc4be90b8bae0eab0302f5a8119e6b
| 149
|
py
|
Python
|
src/dispatch/plugins/dispatch_opsgenie/config.py
|
kstringlo/dispatch
|
1384ee0816192375459cdf5c498b62350584b42d
|
[
"Apache-2.0"
] | null | null | null |
src/dispatch/plugins/dispatch_opsgenie/config.py
|
kstringlo/dispatch
|
1384ee0816192375459cdf5c498b62350584b42d
|
[
"Apache-2.0"
] | 1
|
2020-04-22T03:29:06.000Z
|
2020-04-22T03:29:06.000Z
|
src/dispatch/plugins/dispatch_opsgenie/config.py
|
kstringlo/dispatch
|
1384ee0816192375459cdf5c498b62350584b42d
|
[
"Apache-2.0"
] | null | null | null |
from dispatch.config import config, Secret
OPSGENIE_API_KEY = config("OPSGENIE_API_KEY", cast=Secret)
OPSGENIE_TEAM_ID = config("OPSGENIE_TEAM_ID")
| 29.8
| 58
| 0.818792
| 22
| 149
| 5.181818
| 0.5
| 0.245614
| 0.245614
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087248
| 149
| 4
| 59
| 37.25
| 0.838235
| 0
| 0
| 0
| 0
| 0
| 0.214765
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
d36df1ca343142d828a93729af258958b74104bc
| 14,360
|
py
|
Python
|
test/units/test_oci_autonomous_data_warehouse.py
|
slmjy/oci-ansible-modules
|
4713699064f4244b4554b5b2f97b5e5443fa2d6e
|
[
"Apache-2.0"
] | 106
|
2018-06-29T16:38:56.000Z
|
2022-02-16T16:38:56.000Z
|
test/units/test_oci_autonomous_data_warehouse.py
|
slmjy/oci-ansible-modules
|
4713699064f4244b4554b5b2f97b5e5443fa2d6e
|
[
"Apache-2.0"
] | 122
|
2018-09-11T12:49:39.000Z
|
2021-05-01T04:54:22.000Z
|
test/units/test_oci_autonomous_data_warehouse.py
|
slmjy/oci-ansible-modules
|
4713699064f4244b4554b5b2f97b5e5443fa2d6e
|
[
"Apache-2.0"
] | 78
|
2018-07-04T05:48:54.000Z
|
2022-03-09T06:33:12.000Z
|
# Copyright (c) 2018, 2019, Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for details.
import pytest
from nose.plugins.skip import SkipTest
import logging
from ansible.modules.cloud.oracle import oci_autonomous_data_warehouse
from ansible.module_utils.oracle import oci_utils, oci_db_utils
import tempfile
import os
try:
import oci
from oci.util import to_dict
from oci.database.models import AutonomousDataWarehouse
from oci.exceptions import ServiceError, ClientError
except ImportError:
raise SkipTest("test_oci_autonomous_data_warehouse.py requires `oci` module")
class FakeModule(object):
def __init__(self, **kwargs):
self.params = kwargs
def fail_json(self, *args, **kwargs):
self.exit_args = args
self.exit_kwargs = kwargs
raise Exception(kwargs["msg"])
def exit_json(self, *args, **kwargs):
self.exit_args = args
self.exit_kwargs = kwargs
@pytest.fixture()
def db_client(mocker):
mock_db_client = mocker.patch("oci.database.database_client.DatabaseClient")
return mock_db_client.return_value
@pytest.fixture()
def check_and_create_resource_patch(mocker):
return mocker.patch.object(oci_utils, "check_and_create_resource")
@pytest.fixture()
def update_autonomous_data_warehouse_patch(mocker):
return mocker.patch.object(
oci_autonomous_data_warehouse, "update_autonomous_data_warehouse"
)
@pytest.fixture()
def check_and_update_resource_patch(mocker):
return mocker.patch.object(oci_utils, "check_and_update_resource")
@pytest.fixture()
def create_and_wait_patch(mocker):
return mocker.patch.object(oci_utils, "create_and_wait")
@pytest.fixture()
def get_existing_resource_patch(mocker):
return mocker.patch.object(oci_utils, "get_existing_resource")
@pytest.fixture()
def delete_and_wait_patch(mocker):
return mocker.patch.object(oci_utils, "delete_and_wait")
@pytest.fixture()
def execute_function_and_wait_patch(mocker):
return mocker.patch.object(oci_db_utils, "execute_function_and_wait")
@pytest.fixture()
def call_with_backoff_patch(mocker):
return mocker.patch.object(oci_utils, "call_with_backoff")
@pytest.fixture()
def write_stream_to_file_patch(mocker):
return mocker.patch.object(oci_db_utils, "write_stream_to_file")
def setUpModule():
logging.basicConfig(
filename="/tmp/oci_ansible_module.log", filemode="a", level=logging.INFO
)
oci_autonomous_data_warehouse.set_logger(logging)
def test_create_or_update_autonomous_data_warehouse_create(
db_client, check_and_create_resource_patch
):
module = get_module()
autonomous_data_warehouse = get_autonomous_data_warehouse()
check_and_create_resource_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.create_or_update_autonomous_data_warehouse(
db_client, module
)
assert (
result["autonomous_data_warehouse"]["display_name"]
is autonomous_data_warehouse.display_name
)
def test_create_or_update_autonomous_data_warehouse_update(
db_client, update_autonomous_data_warehouse_patch
):
module = get_module(
dict({"autonomous_data_warehouse_id": "ocid1.autonomous_data_warehouse.aaa"})
)
autonomous_data_warehouse = get_autonomous_data_warehouse()
update_autonomous_data_warehouse_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.create_or_update_autonomous_data_warehouse(
db_client, module
)
assert (
result["autonomous_data_warehouse"]["display_name"]
is autonomous_data_warehouse.display_name
)
def test_create_or_update_autonomous_data_warehousee_client_error(
db_client, check_and_create_resource_patch
):
error_message = "databse attribute has no value"
module = get_module()
check_and_create_resource_patch.side_effect = ClientError(Exception(error_message))
try:
oci_autonomous_data_warehouse.create_or_update_autonomous_data_warehouse(
db_client, module
)
except Exception as ex:
assert error_message in ex.args[0]
def test_create_or_update_autonomous_data_warehousee_service_error(
db_client, check_and_create_resource_patch
):
error_message = "Internal Server Error"
module = get_module()
check_and_create_resource_patch.side_effect = ServiceError(
499, "InternalServerError", dict(), error_message
)
try:
oci_autonomous_data_warehouse.create_or_update_autonomous_data_warehouse(
db_client, module
)
except Exception as ex:
assert error_message in ex.args[0]
def test_create_autonomous_data_warehouse(db_client, create_and_wait_patch):
module = get_module()
autonomous_data_warehouse = get_autonomous_data_warehouse()
create_and_wait_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.create_autonomous_data_warehouse(
db_client, module
)
assert (
result["autonomous_data_warehouse"]["display_name"]
is autonomous_data_warehouse.display_name
)
def test_update_autonomous_data_warehouse_cpu_core_count(
db_client, check_and_update_resource_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
autonomous_data_warehouse.cpu_core_count = 4
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(
dict({"autonomous_data_warehouse_id": "ocid1.autonomousdbwarehouse.aaa"})
)
check_and_update_resource_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.update_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_update_autonomous_data_warehouse_freeform_tags(
db_client, check_and_update_resource_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(
dict(
freeform_tags=dict(system_type="oracledb"),
autonomous_data_warehouse_id="ocid1.autonomousdbwarehouse.aaa",
)
)
check_and_update_resource_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.update_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_update_autonomous_data_warehouse_defined_tags(
db_client, check_and_update_resource_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(
dict(
defined_tags=dict(system_strength=dict(shape="medium")),
autonomous_data_warehouse_id="ocid1.autonomousdbwarehouse.aaa",
)
)
check_and_update_resource_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.update_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_delete_db_system(db_client, delete_and_wait_patch):
module = get_module(
dict(autonomous_data_warehouse_id="ocid1.autonomousdatabase.aaa")
)
autonomous_data_warehouse = get_autonomous_data_warehouse()
delete_and_wait_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.delete_autonomous_data_warehouse(
db_client, module
)
assert (
result["autonomous_data_warehouse"]["display_name"]
is autonomous_data_warehouse.display_name
)
def test_restore_autonomous_data_warehouse(db_client, execute_function_and_wait_patch):
autonomous_data_warehouse = get_autonomous_data_warehouse()
module = get_module()
execute_function_and_wait_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.restore_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_start_or_stop_autonomous_data_warehouse_start(
db_client, get_existing_resource_patch, execute_function_and_wait_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
autonomous_data_warehouse.lifecycle_state = "STOPPED"
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(dict(state="start"))
execute_function_and_wait_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.start_or_stop_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_start_or_stop_autonomous_data_warehouse_start_idempotent(
db_client, get_existing_resource_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
autonomous_data_warehouse.lifecycle_state = "AVAILABLE"
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(dict(state="start"))
result = oci_autonomous_data_warehouse.start_or_stop_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is False
def test_start_or_stop_autonomous_data_warehouse_stop(
db_client, get_existing_resource_patch, execute_function_and_wait_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
autonomous_data_warehouse.lifecycle_state = "AVAILABLE"
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(dict(state="stop"))
execute_function_and_wait_patch.return_value = {
"autonomous_data_warehouse": to_dict(autonomous_data_warehouse),
"changed": True,
}
result = oci_autonomous_data_warehouse.start_or_stop_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is True
def test_start_or_stop_autonomous_data_warehouse_stop_idempotent(
db_client, get_existing_resource_patch
):
autonomous_data_warehouse = get_autonomous_data_warehouse()
autonomous_data_warehouse.lifecycle_state = "STOPPED"
get_existing_resource_patch.return_value = autonomous_data_warehouse
module = get_module(dict(state="stop"))
result = oci_autonomous_data_warehouse.start_or_stop_autonomous_data_warehouse(
db_client, module
)
assert result["changed"] is False
def test_generate_wallet(
db_client, call_with_backoff_patch, write_stream_to_file_patch
):
call_with_backoff_patch.return_value = get_response(200, None, "test", None)
write_stream_to_file_patch.return_value = True
module = get_module(dict(password="password123", wallet_file="test_wallet_file"))
result = oci_autonomous_data_warehouse.generate_wallet(db_client, module)
assert result["changed"] is True
def test_generate_wallet_no_wallet_file_defined(db_client):
error_message = "Wallet file must be declared"
module = get_module(dict(password="password123"))
try:
oci_autonomous_data_warehouse.generate_wallet(db_client, module)
except Exception as ex:
assert error_message in ex.args[0]
def test_generate_wallet_empty_wallet_file_defined(db_client):
error_message = "Wallet file must be declared"
module = get_module(dict(password="password123", wallet_file=" "))
try:
oci_autonomous_data_warehouse.generate_wallet(db_client, module)
except Exception as ex:
assert error_message in ex.args[0]
def test_generate_wallet_service_error(db_client, call_with_backoff_patch):
error_message = "Internal Server Error"
module = get_module(dict(password="password123", wallet_file="test_wallet_file"))
call_with_backoff_patch.side_effect = ServiceError(
499, "InternalServerError", dict(), error_message
)
try:
oci_autonomous_data_warehouse.generate_wallet(db_client, module)
except Exception as ex:
assert error_message in ex.args[0]
def test_generate_wallet_client_error(db_client, call_with_backoff_patch):
error_message = "Wallet file not valid"
module = get_module(dict(password="password123", wallet_file="test_wallet_file"))
call_with_backoff_patch.side_effect = ClientError(Exception(error_message))
try:
oci_autonomous_data_warehouse.generate_wallet(db_client, module)
except Exception as ex:
assert error_message in ex.args[0]
def get_autonomous_data_warehouse():
autonomous_data_warehouse = AutonomousDataWarehouse()
autonomous_data_warehouse.display_name = "ansible_autonomous_data_warehousee"
autonomous_data_warehouse.freeform_tags = {"system_type": "exadata"}
autonomous_data_warehouse.defined_tags = {"system_strength": {"shape": "small"}}
return autonomous_data_warehouse
def get_response(status, header, data, request):
return oci.Response(status, header, data, request)
def get_module(additional_properties=None):
params = {
"compartment_id": "ocid1.compartment.oc1..xxxxxEXAMPLExxxxx..qndq",
"admin_password": "BEstr0ng_#11",
"data_storage_size_in_tbs": 1,
"cpu_core_count": 1,
"db_name": "ansibledbwarehouse",
"display_name": "ansibleautodbwarehouse",
"license_model": "LICENSE_INCLUDED",
"wait": False,
"freeform_tags": {"db_type": "test"},
}
if additional_properties:
params.update(additional_properties)
module = FakeModule(**params)
return module
| 34.769976
| 106
| 0.758148
| 1,772
| 14,360
| 5.681716
| 0.117946
| 0.182161
| 0.292412
| 0.059396
| 0.796782
| 0.750795
| 0.73232
| 0.718216
| 0.687823
| 0.652563
| 0
| 0.005086
| 0.164763
| 14,360
| 412
| 107
| 34.854369
| 0.834334
| 0.020891
| 0
| 0.541916
| 0
| 0
| 0.124306
| 0.065675
| 0
| 0
| 0
| 0
| 0.056886
| 1
| 0.107784
| false
| 0.017964
| 0.035928
| 0.02994
| 0.185629
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
6c9634e96f3a89127a20a5dfb24ca6980ee1469c
| 140
|
py
|
Python
|
majortom_scripting/models/groundstation.py
|
kubos/majortom_script_package
|
1b34c8c09e83a517d8df413547f608fba99e6681
|
[
"Apache-2.0"
] | 2
|
2019-09-30T21:58:06.000Z
|
2020-05-15T06:29:27.000Z
|
majortom_scripting/models/groundstation.py
|
kubos/majortom_script_package
|
1b34c8c09e83a517d8df413547f608fba99e6681
|
[
"Apache-2.0"
] | null | null | null |
majortom_scripting/models/groundstation.py
|
kubos/majortom_script_package
|
1b34c8c09e83a517d8df413547f608fba99e6681
|
[
"Apache-2.0"
] | 2
|
2019-09-30T21:58:06.000Z
|
2022-02-04T19:21:45.000Z
|
from majortom_scripting.models.system import System
class GroundStation(System):
def update_location(self, lat, long):
#tbd
pass
| 20
| 51
| 0.757143
| 18
| 140
| 5.777778
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164286
| 140
| 7
| 52
| 20
| 0.888889
| 0.021429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.25
| 0
| 0.75
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
6cc762ba38f6454f6c953885aa9d9d8d393228ba
| 4,670
|
py
|
Python
|
Monte_Carlo/Lookback/Script_Lookback_JumpDiffusion.py
|
mattslezak-shell/PROJ_Option_Pricing_Matlab
|
6105bd00ba3471802180c122fdf81e90833a91c4
|
[
"MIT"
] | null | null | null |
Monte_Carlo/Lookback/Script_Lookback_JumpDiffusion.py
|
mattslezak-shell/PROJ_Option_Pricing_Matlab
|
6105bd00ba3471802180c122fdf81e90833a91c4
|
[
"MIT"
] | null | null | null |
Monte_Carlo/Lookback/Script_Lookback_JumpDiffusion.py
|
mattslezak-shell/PROJ_Option_Pricing_Matlab
|
6105bd00ba3471802180c122fdf81e90833a91c4
|
[
"MIT"
] | 1
|
2022-01-07T15:31:45.000Z
|
2022-01-07T15:31:45.000Z
|
# Generated with SMOP 0.41-beta
try:
from smop.libsmop import *
except ImportError:
raise ImportError('File compiled with `smop3`, please install `smop3` to run it.') from None
# Script_Lookback_JumpDiffusion.m
##################################################################
### MONTE CARLO LOOKBACK OPTION PRICER for Diffusions AND Jump Diffusions
##################################################################
# Descritpion: Script to Price Lookback options in Diffusion and Jump Diffusion Models
# using the Monte Carlo Simulation
# Author: Justin Kirkby
##################################################################
folder,name,ext=fileparts(which(mfilename('fullpath')),nargout=3)
# Script_Lookback_JumpDiffusion.m:9
cd(folder)
addpath('../')
# ---------------------
# Contract/Market Params
# ---------------------
call=1
# Script_Lookback_JumpDiffusion.m:17
S_0=100
# Script_Lookback_JumpDiffusion.m:18
M=252
# Script_Lookback_JumpDiffusion.m:19
r=0.05
# Script_Lookback_JumpDiffusion.m:20
q=0.0
# Script_Lookback_JumpDiffusion.m:21
T=1
# Script_Lookback_JumpDiffusion.m:22
# ---------------------
# Model Params
# ---------------------
sigma=0.2
# Script_Lookback_JumpDiffusion.m:28
jumpModel=0
# Script_Lookback_JumpDiffusion.m:29
# ---------------------
# Sim Params
# ---------------------
N_sim=10 ** 5
# Script_Lookback_JumpDiffusion.m:34
mult=3
# Script_Lookback_JumpDiffusion.m:35
#################################
jumpParams=cellarray([])
# Script_Lookback_JumpDiffusion.m:38
if jumpModel == 1:
lambda_=1
# Script_Lookback_JumpDiffusion.m:41
muJ=- 0.1
# Script_Lookback_JumpDiffusion.m:41
sigJ=0.3
# Script_Lookback_JumpDiffusion.m:41
jumpParams.kappa = copy(exp(muJ + dot(0.5,sigJ ** 2)) - 1)
# Script_Lookback_JumpDiffusion.m:43
jumpParams.lambda = copy(lambda_)
# Script_Lookback_JumpDiffusion.m:43
jumpParams.muJ = copy(muJ)
# Script_Lookback_JumpDiffusion.m:43
jumpParams.sigJ = copy(sigJ)
# Script_Lookback_JumpDiffusion.m:43
else:
if jumpModel == 2:
lambda_=1
# Script_Lookback_JumpDiffusion.m:46
p_up=0.5
# Script_Lookback_JumpDiffusion.m:47
eta1=25
# Script_Lookback_JumpDiffusion.m:48
eta2=30
# Script_Lookback_JumpDiffusion.m:49
kappa=dot(p_up,eta1) / (eta1 - 1) + dot((1 - p_up),eta2) / (eta2 + 1) - 1
# Script_Lookback_JumpDiffusion.m:51
jumpParams.lambda = copy(lambda_)
# Script_Lookback_JumpDiffusion.m:52
jumpParams.kappa = copy(kappa)
# Script_Lookback_JumpDiffusion.m:52
jumpParams.eta1 = copy(eta1)
# Script_Lookback_JumpDiffusion.m:52
jumpParams.eta2 = copy(eta2)
# Script_Lookback_JumpDiffusion.m:52
jumpParams.p_up = copy(p_up)
# Script_Lookback_JumpDiffusion.m:52
else:
if jumpModel == 3:
lambda_=1
# Script_Lookback_JumpDiffusion.m:55
a1=- 0.05
# Script_Lookback_JumpDiffusion.m:56
b1=0.07
# Script_Lookback_JumpDiffusion.m:57
a2=0.02
# Script_Lookback_JumpDiffusion.m:58
b2=0.03
# Script_Lookback_JumpDiffusion.m:59
p_up=0.6
# Script_Lookback_JumpDiffusion.m:60
kappa=dot(p_up,exp(a1 + dot(0.5,b1 ** 2))) + dot((1 - p_up),exp(a2 + dot(0.5,b2 ** 2))) - 1
# Script_Lookback_JumpDiffusion.m:62
jumpParams.lambda = copy(lambda_)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.kappa = copy(kappa)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.a1 = copy(a1)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.b1 = copy(b1)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.a2 = copy(a2)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.b2 = copy(b2)
# Script_Lookback_JumpDiffusion.m:63
jumpParams.p_up = copy(p_up)
# Script_Lookback_JumpDiffusion.m:63
################################################
M_mult=dot(M,mult)
# Script_Lookback_JumpDiffusion.m:68
Spath=Simulate_Jump_Diffusion_func(N_sim,M_mult + 1,T,S_0,r,q,sigma,jumpModel,jumpParams)
# Script_Lookback_JumpDiffusion.m:69
disc=exp(dot(- r,T))
# Script_Lookback_JumpDiffusion.m:71
price,stdErr=Price_MC_Lookback_func(Spath,call,M,mult,disc,nargout=2)
# Script_Lookback_JumpDiffusion.m:72
| 33.120567
| 108
| 0.591435
| 544
| 4,670
| 4.849265
| 0.257353
| 0.254738
| 0.491281
| 0.509477
| 0.49583
| 0.350265
| 0.137225
| 0.137225
| 0.036391
| 0.036391
| 0
| 0.0545
| 0.233833
| 4,670
| 141
| 109
| 33.120567
| 0.682784
| 0.452677
| 0
| 0.206897
| 1
| 0
| 0.034732
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.051724
| null | null | 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6ccc3f36465679493eda561d624a9e4681f5c5fe
| 72
|
py
|
Python
|
c3pO/nc/__init__.py
|
maclandrol/c3pO
|
3f3be5132c02f1c313b9ef5abf8264cd3d1dda31
|
[
"MIT"
] | 1
|
2021-10-15T09:32:08.000Z
|
2021-10-15T09:32:08.000Z
|
c3pO/nc/__init__.py
|
maclandrol/c3pO
|
3f3be5132c02f1c313b9ef5abf8264cd3d1dda31
|
[
"MIT"
] | null | null | null |
c3pO/nc/__init__.py
|
maclandrol/c3pO
|
3f3be5132c02f1c313b9ef5abf8264cd3d1dda31
|
[
"MIT"
] | null | null | null |
from .classifier import ClassifierNC
from .regressor import RegressorNC
| 24
| 36
| 0.861111
| 8
| 72
| 7.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 72
| 2
| 37
| 36
| 0.96875
| 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
|
6cff9b0637cf353f548a416598203806726cf984
| 33
|
py
|
Python
|
kikimr/public/sdk/python/client/issues.py
|
yandex-cloud/ydb-python-sdk
|
0df2dce2d77fc41ad3020072740f51dd91630177
|
[
"Apache-2.0"
] | 19
|
2019-07-01T08:25:29.000Z
|
2022-01-26T14:46:51.000Z
|
kikimr/public/sdk/python/client/issues.py
|
yandex-cloud/ydb-python-sdk
|
0df2dce2d77fc41ad3020072740f51dd91630177
|
[
"Apache-2.0"
] | 5
|
2019-07-02T13:36:42.000Z
|
2021-09-14T06:46:48.000Z
|
kikimr/public/sdk/python/client/issues.py
|
yandex-cloud/ydb-python-sdk
|
0df2dce2d77fc41ad3020072740f51dd91630177
|
[
"Apache-2.0"
] | 10
|
2019-06-07T10:36:19.000Z
|
2021-10-15T08:58:11.000Z
|
from ydb.issues import * # noqa
| 16.5
| 32
| 0.69697
| 5
| 33
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 33
| 1
| 33
| 33
| 0.884615
| 0.121212
| 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
|
9f22135ba06387d0cdf1df73039e8fe18af150f8
| 31
|
py
|
Python
|
twop/__init__.py
|
timchurchard/twopasswords
|
d8921fdb764a7633066c268e2c6a1a3d1289d703
|
[
"MIT"
] | 2
|
2022-01-06T08:36:27.000Z
|
2022-02-22T19:00:56.000Z
|
twop/__init__.py
|
timchurchard/twopasswords
|
d8921fdb764a7633066c268e2c6a1a3d1289d703
|
[
"MIT"
] | null | null | null |
twop/__init__.py
|
timchurchard/twopasswords
|
d8921fdb764a7633066c268e2c6a1a3d1289d703
|
[
"MIT"
] | null | null | null |
# Copyright Tim Churchard 2020
| 15.5
| 30
| 0.806452
| 4
| 31
| 6.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.16129
| 31
| 1
| 31
| 31
| 0.807692
| 0.903226
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9f90740fc68bff3fdef933c80f09f10323b6d642
| 15,064
|
py
|
Python
|
resources/python/aws_cdk/assets/__init__.py
|
oneillryan93/bot-man
|
f644a02b0e819d92502799a561ac6272201b46ee
|
[
"MIT"
] | null | null | null |
resources/python/aws_cdk/assets/__init__.py
|
oneillryan93/bot-man
|
f644a02b0e819d92502799a561ac6272201b46ee
|
[
"MIT"
] | null | null | null |
resources/python/aws_cdk/assets/__init__.py
|
oneillryan93/bot-man
|
f644a02b0e819d92502799a561ac6272201b46ee
|
[
"MIT"
] | null | null | null |
"""
## AWS CDK Assets
<!--BEGIN STABILITY BANNER-->---
> This API may emit warnings. Backward compatibility is not guaranteed.
---
<!--END STABILITY BANNER-->
All types moved to @aws-cdk/core.
"""
import abc
import builtins
import datetime
import enum
import typing
import jsii
import publication
import typing_extensions
from ._jsii import *
import aws_cdk.core
@jsii.data_type(
jsii_type="@aws-cdk/assets.CopyOptions",
jsii_struct_bases=[],
name_mapping={
"exclude": "exclude",
"follow": "follow",
"ignore_mode": "ignoreMode",
},
)
class CopyOptions:
def __init__(
self,
*,
exclude: typing.Optional[typing.List[builtins.str]] = None,
follow: typing.Optional["FollowMode"] = None,
ignore_mode: typing.Optional[aws_cdk.core.IgnoreMode] = None,
) -> None:
"""(deprecated) Obtains applied when copying directories into the staging location.
:param exclude: (deprecated) Glob patterns to exclude from the copy. Default: nothing is excluded
:param follow: (deprecated) A strategy for how to handle symlinks. Default: Never
:param ignore_mode: (deprecated) The ignore behavior to use for exclude patterns. Default: - GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the '
:deprecated: see ``core.CopyOptions``
:stability: deprecated
"""
self._values: typing.Dict[str, typing.Any] = {}
if exclude is not None:
self._values["exclude"] = exclude
if follow is not None:
self._values["follow"] = follow
if ignore_mode is not None:
self._values["ignore_mode"] = ignore_mode
@builtins.property
def exclude(self) -> typing.Optional[typing.List[builtins.str]]:
"""(deprecated) Glob patterns to exclude from the copy.
:default: nothing is excluded
:stability: deprecated
"""
result = self._values.get("exclude")
return result
@builtins.property
def follow(self) -> typing.Optional["FollowMode"]:
"""(deprecated) A strategy for how to handle symlinks.
:default: Never
:stability: deprecated
"""
result = self._values.get("follow")
return result
@builtins.property
def ignore_mode(self) -> typing.Optional[aws_cdk.core.IgnoreMode]:
"""(deprecated) The ignore behavior to use for exclude patterns.
:default:
- GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the
'
:stability: deprecated
:aws-cdk: /aws-ecr-assets:dockerIgnoreSupport' flag is set.
"""
result = self._values.get("ignore_mode")
return result
def __eq__(self, rhs: typing.Any) -> builtins.bool:
return isinstance(rhs, self.__class__) and rhs._values == self._values
def __ne__(self, rhs: typing.Any) -> builtins.bool:
return not (rhs == self)
def __repr__(self) -> str:
return "CopyOptions(%s)" % ", ".join(
k + "=" + repr(v) for k, v in self._values.items()
)
@jsii.data_type(
jsii_type="@aws-cdk/assets.FingerprintOptions",
jsii_struct_bases=[CopyOptions],
name_mapping={
"exclude": "exclude",
"follow": "follow",
"ignore_mode": "ignoreMode",
"extra_hash": "extraHash",
},
)
class FingerprintOptions(CopyOptions):
def __init__(
self,
*,
exclude: typing.Optional[typing.List[builtins.str]] = None,
follow: typing.Optional["FollowMode"] = None,
ignore_mode: typing.Optional[aws_cdk.core.IgnoreMode] = None,
extra_hash: typing.Optional[builtins.str] = None,
) -> None:
"""(deprecated) Options related to calculating source hash.
:param exclude: (deprecated) Glob patterns to exclude from the copy. Default: nothing is excluded
:param follow: (deprecated) A strategy for how to handle symlinks. Default: Never
:param ignore_mode: (deprecated) The ignore behavior to use for exclude patterns. Default: - GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the '
:param extra_hash: (deprecated) Extra information to encode into the fingerprint (e.g. build instructions and other inputs). Default: - hash is only based on source content
:deprecated: see ``core.FingerprintOptions``
:stability: deprecated
"""
self._values: typing.Dict[str, typing.Any] = {}
if exclude is not None:
self._values["exclude"] = exclude
if follow is not None:
self._values["follow"] = follow
if ignore_mode is not None:
self._values["ignore_mode"] = ignore_mode
if extra_hash is not None:
self._values["extra_hash"] = extra_hash
@builtins.property
def exclude(self) -> typing.Optional[typing.List[builtins.str]]:
"""(deprecated) Glob patterns to exclude from the copy.
:default: nothing is excluded
:stability: deprecated
"""
result = self._values.get("exclude")
return result
@builtins.property
def follow(self) -> typing.Optional["FollowMode"]:
"""(deprecated) A strategy for how to handle symlinks.
:default: Never
:stability: deprecated
"""
result = self._values.get("follow")
return result
@builtins.property
def ignore_mode(self) -> typing.Optional[aws_cdk.core.IgnoreMode]:
"""(deprecated) The ignore behavior to use for exclude patterns.
:default:
- GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the
'
:stability: deprecated
:aws-cdk: /aws-ecr-assets:dockerIgnoreSupport' flag is set.
"""
result = self._values.get("ignore_mode")
return result
@builtins.property
def extra_hash(self) -> typing.Optional[builtins.str]:
"""(deprecated) Extra information to encode into the fingerprint (e.g. build instructions and other inputs).
:default: - hash is only based on source content
:stability: deprecated
"""
result = self._values.get("extra_hash")
return result
def __eq__(self, rhs: typing.Any) -> builtins.bool:
return isinstance(rhs, self.__class__) and rhs._values == self._values
def __ne__(self, rhs: typing.Any) -> builtins.bool:
return not (rhs == self)
def __repr__(self) -> str:
return "FingerprintOptions(%s)" % ", ".join(
k + "=" + repr(v) for k, v in self._values.items()
)
@jsii.enum(jsii_type="@aws-cdk/assets.FollowMode")
class FollowMode(enum.Enum):
"""(deprecated) Symlink follow mode.
:deprecated: see ``core.SymlinkFollowMode``
:stability: deprecated
"""
NEVER = "NEVER"
"""(deprecated) Never follow symlinks.
:stability: deprecated
"""
ALWAYS = "ALWAYS"
"""(deprecated) Materialize all symlinks, whether they are internal or external to the source directory.
:stability: deprecated
"""
EXTERNAL = "EXTERNAL"
"""(deprecated) Only follows symlinks that are external to the source directory.
:stability: deprecated
"""
BLOCK_EXTERNAL = "BLOCK_EXTERNAL"
"""(deprecated) Forbids source from having any symlinks pointing outside of the source tree.
This is the safest mode of operation as it ensures that copy operations
won't materialize files from the user's file system. Internal symlinks are
not followed.
If the copy operation runs into an external symlink, it will fail.
:stability: deprecated
"""
@jsii.interface(jsii_type="@aws-cdk/assets.IAsset")
class IAsset(typing_extensions.Protocol):
"""(deprecated) Common interface for all assets.
:deprecated: use ``core.IAsset``
:stability: deprecated
"""
@builtins.staticmethod
def __jsii_proxy_class__():
return _IAssetProxy
@builtins.property # type: ignore
@jsii.member(jsii_name="sourceHash")
def source_hash(self) -> builtins.str:
"""(deprecated) A hash of the source of this asset, which is available at construction time.
As this is a plain
string, it can be used in construct IDs in order to enforce creation of a new resource when
the content hash has changed.
:stability: deprecated
"""
...
class _IAssetProxy:
"""(deprecated) Common interface for all assets.
:deprecated: use ``core.IAsset``
:stability: deprecated
"""
__jsii_type__: typing.ClassVar[str] = "@aws-cdk/assets.IAsset"
@builtins.property # type: ignore
@jsii.member(jsii_name="sourceHash")
def source_hash(self) -> builtins.str:
"""(deprecated) A hash of the source of this asset, which is available at construction time.
As this is a plain
string, it can be used in construct IDs in order to enforce creation of a new resource when
the content hash has changed.
:stability: deprecated
"""
return jsii.get(self, "sourceHash")
class Staging(
aws_cdk.core.AssetStaging,
metaclass=jsii.JSIIMeta,
jsii_type="@aws-cdk/assets.Staging",
):
"""(deprecated) Deprecated.
:deprecated: use ``core.AssetStaging``
:stability: deprecated
"""
def __init__(
self,
scope: aws_cdk.core.Construct,
id: builtins.str,
*,
source_path: builtins.str,
extra_hash: typing.Optional[builtins.str] = None,
exclude: typing.Optional[typing.List[builtins.str]] = None,
follow: typing.Optional[FollowMode] = None,
ignore_mode: typing.Optional[aws_cdk.core.IgnoreMode] = None,
) -> None:
"""
:param scope: -
:param id: -
:param source_path: (deprecated) Local file or directory to stage.
:param extra_hash: (deprecated) Extra information to encode into the fingerprint (e.g. build instructions and other inputs). Default: - hash is only based on source content
:param exclude: (deprecated) Glob patterns to exclude from the copy. Default: nothing is excluded
:param follow: (deprecated) A strategy for how to handle symlinks. Default: Never
:param ignore_mode: (deprecated) The ignore behavior to use for exclude patterns. Default: - GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the '
:stability: deprecated
"""
props = StagingProps(
source_path=source_path,
extra_hash=extra_hash,
exclude=exclude,
follow=follow,
ignore_mode=ignore_mode,
)
jsii.create(Staging, self, [scope, id, props])
@jsii.data_type(
jsii_type="@aws-cdk/assets.StagingProps",
jsii_struct_bases=[FingerprintOptions],
name_mapping={
"exclude": "exclude",
"follow": "follow",
"ignore_mode": "ignoreMode",
"extra_hash": "extraHash",
"source_path": "sourcePath",
},
)
class StagingProps(FingerprintOptions):
def __init__(
self,
*,
exclude: typing.Optional[typing.List[builtins.str]] = None,
follow: typing.Optional[FollowMode] = None,
ignore_mode: typing.Optional[aws_cdk.core.IgnoreMode] = None,
extra_hash: typing.Optional[builtins.str] = None,
source_path: builtins.str,
) -> None:
"""(deprecated) Deprecated.
:param exclude: (deprecated) Glob patterns to exclude from the copy. Default: nothing is excluded
:param follow: (deprecated) A strategy for how to handle symlinks. Default: Never
:param ignore_mode: (deprecated) The ignore behavior to use for exclude patterns. Default: - GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the '
:param extra_hash: (deprecated) Extra information to encode into the fingerprint (e.g. build instructions and other inputs). Default: - hash is only based on source content
:param source_path: (deprecated) Local file or directory to stage.
:deprecated: use ``core.AssetStagingProps``
:stability: deprecated
"""
self._values: typing.Dict[str, typing.Any] = {
"source_path": source_path,
}
if exclude is not None:
self._values["exclude"] = exclude
if follow is not None:
self._values["follow"] = follow
if ignore_mode is not None:
self._values["ignore_mode"] = ignore_mode
if extra_hash is not None:
self._values["extra_hash"] = extra_hash
@builtins.property
def exclude(self) -> typing.Optional[typing.List[builtins.str]]:
"""(deprecated) Glob patterns to exclude from the copy.
:default: nothing is excluded
:stability: deprecated
"""
result = self._values.get("exclude")
return result
@builtins.property
def follow(self) -> typing.Optional[FollowMode]:
"""(deprecated) A strategy for how to handle symlinks.
:default: Never
:stability: deprecated
"""
result = self._values.get("follow")
return result
@builtins.property
def ignore_mode(self) -> typing.Optional[aws_cdk.core.IgnoreMode]:
"""(deprecated) The ignore behavior to use for exclude patterns.
:default:
- GLOB for file assets, DOCKER or GLOB for docker assets depending on whether the
'
:stability: deprecated
:aws-cdk: /aws-ecr-assets:dockerIgnoreSupport' flag is set.
"""
result = self._values.get("ignore_mode")
return result
@builtins.property
def extra_hash(self) -> typing.Optional[builtins.str]:
"""(deprecated) Extra information to encode into the fingerprint (e.g. build instructions and other inputs).
:default: - hash is only based on source content
:stability: deprecated
"""
result = self._values.get("extra_hash")
return result
@builtins.property
def source_path(self) -> builtins.str:
"""(deprecated) Local file or directory to stage.
:stability: deprecated
"""
result = self._values.get("source_path")
assert result is not None, "Required property 'source_path' is missing"
return result
def __eq__(self, rhs: typing.Any) -> builtins.bool:
return isinstance(rhs, self.__class__) and rhs._values == self._values
def __ne__(self, rhs: typing.Any) -> builtins.bool:
return not (rhs == self)
def __repr__(self) -> str:
return "StagingProps(%s)" % ", ".join(
k + "=" + repr(v) for k, v in self._values.items()
)
__all__ = [
"CopyOptions",
"FingerprintOptions",
"FollowMode",
"IAsset",
"Staging",
"StagingProps",
]
publication.publish()
| 31.84778
| 182
| 0.639206
| 1,746
| 15,064
| 5.392898
| 0.126002
| 0.033985
| 0.01147
| 0.024214
| 0.772515
| 0.764125
| 0.756266
| 0.738318
| 0.728547
| 0.717077
| 0
| 0
| 0.255178
| 15,064
| 472
| 183
| 31.915254
| 0.839216
| 0.363449
| 0
| 0.647059
| 0
| 0
| 0.107067
| 0.025427
| 0
| 0
| 0
| 0
| 0.004525
| 1
| 0.126697
| false
| 0
| 0.045249
| 0.045249
| 0.330317
| 0.027149
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
e28ee4d912191ffa98b6b835443ffcaa97ba3407
| 100
|
py
|
Python
|
code/mol_graph/exceptions.py
|
ms860309/AutomatedReactionMechanismDiscovery
|
7749afd60e828638bf0bf013bb04d33304735764
|
[
"MIT"
] | 1
|
2022-02-09T20:08:17.000Z
|
2022-02-09T20:08:17.000Z
|
code/mol_graph/exceptions.py
|
ms860309/ARMD
|
7749afd60e828638bf0bf013bb04d33304735764
|
[
"MIT"
] | 3
|
2021-04-28T15:03:45.000Z
|
2021-05-13T03:10:47.000Z
|
code/mol_graph/exceptions.py
|
ms860309/AutomatedReactionMechanismDiscovery
|
7749afd60e828638bf0bf013bb04d33304735764
|
[
"MIT"
] | null | null | null |
class XYZfileWrongFormat(Exception):
pass
class XYZfileDidNotExist(Exception):
pass
| 14.285714
| 37
| 0.72
| 8
| 100
| 9
| 0.625
| 0.361111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22
| 100
| 6
| 38
| 16.666667
| 0.923077
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
2c49f50a68d6670c114c2b171e353d083577cd7d
| 104
|
py
|
Python
|
tests/pyflakes_bears/pep8_naming_test_files/E04/valid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | null | null | null |
tests/pyflakes_bears/pep8_naming_test_files/E04/valid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | 12
|
2018-05-21T06:12:59.000Z
|
2018-07-30T10:37:16.000Z
|
tests/pyflakes_bears/pep8_naming_test_files/E04/valid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | 1
|
2018-06-10T16:16:47.000Z
|
2018-06-10T16:16:47.000Z
|
def foo():
'''
>>> from mod import Good as Good
'''
pass # Ignore PyUnusedCodeBear
| 17.333333
| 40
| 0.528846
| 11
| 104
| 5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.346154
| 104
| 5
| 41
| 20.8
| 0.808824
| 0.548077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
2c5c4d08f23243c46b6e124b58cc048c9cf54745
| 12,825
|
py
|
Python
|
models.py
|
lemmonation/spine
|
6b60528f7f10a9ae9346a273dc63262e18ae89b9
|
[
"MIT"
] | 13
|
2018-02-13T01:50:21.000Z
|
2020-07-06T00:58:18.000Z
|
models.py
|
LaviniaYu/spine
|
6b60528f7f10a9ae9346a273dc63262e18ae89b9
|
[
"MIT"
] | 1
|
2019-02-13T15:37:35.000Z
|
2019-04-05T03:45:10.000Z
|
models.py
|
LaviniaYu/spine
|
6b60528f7f10a9ae9346a273dc63262e18ae89b9
|
[
"MIT"
] | 4
|
2018-10-20T13:31:26.000Z
|
2020-02-15T09:36:38.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
import numpy as np
import math
import inits
import graph
import utils
from aggregators import WeightedAggregator, MeanAggregator
flags = tf.app.flags
FLAGS = flags.FLAGS
class Model(object):
def __init__(self, **kwargs):
allowed_kwargs = {'name', 'logging'}
for kwarg in kwargs.keys():
assert kwarg in allowed_kwargs, 'Invalid keyword argument: ' + kwarg
name = kwargs.get('name')
if not name:
name = self.__class__.__name__.lower()
self.name = name
logging = kwargs.get('logging', False)
self.logging = logging
self.vars = {}
self.placeholders = {}
self.layers = []
self.activations = []
self.inputs = None
self.outputs = None
self.loss = 0
self.accuracy = 0
self.optimizer = None
self.opt_op = None
def _build(self):
raise NotImplementedError
def build(self):
""" Wrapper for _build() """
with tf.variable_scope(self.name):
self._build()
# Build sequential layer model
self.activations.append(self.inputs)
for layer in self.layers:
hidden = layer(self.activations[-1])
self.activations.append(hidden)
self.outputs = self.activations[-1]
# Store model variables for easy access
variables = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=self.name)
self.vars = {var.name: var for var in variables}
# Build metrics
self._loss()
self._accuracy()
self.opt_op = self.optimizer.minimize(self.loss)
def predict(self):
pass
def _loss(self):
raise NotImplementedError
def _accuracy(self):
raise NotImplementedError
def save(self, sess=None):
if not sess:
raise AttributeError("TensorFlow session not provided.")
saver = tf.train.Saver(self.vars)
save_path = saver.save(sess, "tmp/%s.ckpt" % self.name)
print("Model saved in file: %s" % save_path)
def load(self, sess=None):
if not sess:
raise AttributeError("TensorFlow session not provided.")
saver = tf.train.Saver(self.vars)
save_path = "tmp/%s.ckpt" % self.name
saver.restore(sess, save_path)
print("Model restored from file: %s" % save_path)
class GeneralizedModel(Model):
"""
Base class for models that aren't constructed from traditional, sequential layers.
Subclasses must set self.outputs in _build method
(Removes the layers idiom from build method of the Model class)
"""
def __init__(self, **kwargs):
super(GeneralizedModel, self).__init__(**kwargs)
def build(self):
""" Wrapper for _build() """
with tf.variable_scope(self.name):
self._build()
# Store model variables for easy access
variables = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=self.name)
self.vars = {var.name: var for var in variables}
# Build metrics
self._loss()
self._accuracy()
self.opt_op = self.optimizer.minimize(self.loss)
class PretrainModel(GeneralizedModel):
def __init__(self, placeholders, features, pretrained, dict_size, degree_permuted, rpr_matrix,
rpr_arg, dropout = 0., nodevec_dim = 200, lr = 0.001, only_f = False, **kwargs):
"""
W_mlp is pretrained by node2vec
"""
super(PretrainModel, self).__init__(**kwargs)
self.placeholders = placeholders
self.degrees = degree_permuted
self.only_f = only_f
self.rpr_arg = tf.Variable(tf.constant(rpr_arg, dtype = tf.int64), trainable = False)
self.rpr_matrix = tf.Variable(tf.constant(rpr_matrix, dtype = tf.float32), trainable = False)
self.dropout = dropout
self.feature_dim = features.shape[1]
self.features = tf.Variable(tf.constant(features, dtype = tf.float32), trainable = False)
self.train_inputs = placeholders["train_inputs"]
self.train_labels = placeholders["train_labels"]
self.batchsize = placeholders["batchsize"]
self.dim = dict_size
self.nodevec_dim = nodevec_dim
self.lr = lr
self.embeddings = tf.Variable(tf.constant(pretrained, dtype = tf.float32),
trainable = True, name = "embeddings")
self.nce_weights = tf.Variable(tf.constant(pretrained, dtype = tf.float32),
trainable = True, name = "nce_weights")
self.aggregator_t = WeightedAggregator(self.feature_dim, self.nodevec_dim, dropout = self.dropout,
name = 'true_agg')
self.optimizer = tf.train.AdamOptimizer(learning_rate = lr)
self.build()
def sample_aggregate(self, input_args, bs, aggregator):
samples_arg = tf.nn.embedding_lookup(self.rpr_arg, input_args)
samples_weights = tf.nn.embedding_lookup(self.rpr_matrix, input_args)
samples_features = tf.nn.embedding_lookup(self.features, samples_arg)
batch_out = aggregator((samples_features, samples_weights, bs, FLAGS.k_RPR))
# out should be bs * d
return batch_out
def _build(self):
labels = tf.reshape(tf.cast(self.train_labels, dtype = tf.int64),
[self.batchsize, 1])
self.neg_samples, _, _ = (tf.nn.fixed_unigram_candidate_sampler(
true_classes = labels,
num_true = 1,
num_sampled = FLAGS.neg_sample_size,
unique = True,
range_max = len(self.degrees),
distortion = 0.75,
unigrams = self.degrees.tolist()))
self.train_inputs_f = self.sample_aggregate(self.train_inputs, self.batchsize, self.aggregator_t)
self.train_labels_f = self.sample_aggregate(self.train_labels, self.batchsize, self.aggregator_t)
self.neg_samples_f = self.sample_aggregate(self.neg_samples, FLAGS.neg_sample_size, self.aggregator_t)
self.embed = tf.nn.embedding_lookup(self.embeddings, self.train_inputs)
self.true_w = tf.nn.embedding_lookup(self.nce_weights, self.train_labels)
self.false_w = tf.nn.embedding_lookup(self.nce_weights, self.neg_samples)
self.train_inputs_all = tf.add(self.train_inputs_f, self.embed)
self.train_labels_all = tf.add(self.train_labels_f, self.true_w)
self.neg_samples_all = tf.add(self.neg_samples_f, self.false_w)
def build(self):
self._build()
self._loss()
self._minimize_2()
def _minimize(self):
self.opt_op = self.optimizer.minimize(self.loss)
def _minimize_2(self):
var_list1 = [var for var in tf.trainable_variables()
if var.name == "embeddings:0" or var.name == "nce_weights:0"]
var_list2 = [var for var in tf.trainable_variables() if var not in var_list1]
opt2 = tf.train.AdamOptimizer(learning_rate = self.lr)
opt1 = tf.train.AdamOptimizer(learning_rate = 1e-5)
grads = tf.gradients(self.loss, var_list1 + var_list2)
grads1 = grads[:len(var_list1)]
grads2 = grads[len(var_list1):]
train_op1 = opt1.apply_gradients(zip(grads1, var_list1))
train_op2 = opt2.apply_gradients(zip(grads2, var_list2))
self.opt_op = tf.group(train_op1, train_op2)
def _loss(self):
p1 = tf.reduce_sum(tf.multiply(self.train_inputs_f, self.train_labels_f), 1)
p1 = tf.log(tf.sigmoid(p1) + 0.001)
p2 = tf.reduce_sum(tf.matmul(self.train_inputs_f, tf.transpose(self.neg_samples_f)))
p2 = tf.log(tf.sigmoid(-p2) + 0.001)
p3 = tf.reduce_sum(tf.multiply(self.embed, self.true_w), 1)
p3 = tf.log(tf.sigmoid(p3) + 0.001)
p4 = tf.reduce_sum(tf.matmul(self.embed, tf.transpose(self.false_w)))
p4 = tf.log(tf.sigmoid(-p4) + 0.001)
p5 = tf.reduce_sum(tf.multiply(self.embed, self.train_labels_f), 1)
p5 = tf.log(tf.sigmoid(p5) + 0.001)
p6 = tf.reduce_sum(tf.matmul(self.embed, tf.transpose(self.neg_samples_f)))
p6 = tf.log(tf.sigmoid(-p6) + 0.001)
p7 = tf.reduce_sum(tf.multiply(self.true_w, self.train_inputs_f), 1)
p7 = tf.log(tf.sigmoid(p7) + 0.001)
p8 = tf.reduce_sum(tf.matmul(self.true_w, tf.transpose(self.neg_samples_f)))
p8 = tf.log(tf.sigmoid(-p8) + 0.001)
rho1 = 1.5
rho2 = 0.75
rho3 = 1.5
temp_loss = rho1*(p1+p2)+rho2*(p3+p4)+rho3*(p5+p6)+rho3*(p7+p8)
self.loss += -tf.reduce_sum(temp_loss) / tf.cast(self.batchsize, tf.float32)
tf.summary.scalar('loss', self.loss)
class AggregateModel(GeneralizedModel):
def __init__(self, placeholders, features, dict_size, degree_permuted, rpr_matrix,
rpr_arg, dropout = 0., nodevec_dim = 200, lr = 0.001, only_f = False, **kwargs):
"""
Aggregate feature informations of the neighbors of the current node,
weighted by Rooted PageRank vector of the current node.
"""
super(AggregateModel, self).__init__(**kwargs)
self.placeholders = placeholders
self.degrees = degree_permuted
self.only_f = only_f
self.rpr_arg = tf.Variable(tf.constant(rpr_arg, dtype = tf.int64), trainable = False)
self.rpr_matrix = tf.Variable(tf.constant(rpr_matrix, dtype = tf.float32), trainable = False)
self.dropout = dropout
self.feature_dim = features.shape[1]
self.features = tf.Variable(tf.constant(features, dtype = tf.float32), trainable = False)
self.train_inputs = placeholders["train_inputs"]
self.train_labels = placeholders["train_labels"]
self.batchsize = placeholders["batchsize"]
self.dim = dict_size
self.nodevec_dim = nodevec_dim
self.embeddings = inits.glorot([dict_size, nodevec_dim], name = "embeddings")
self.nce_weights = inits.glorot([dict_size, nodevec_dim], name = "nce_weights")
self.aggregator_t = WeightedAggregator(self.feature_dim, self.nodevec_dim, dropout = self.dropout,
name = 'true_agg')
self.optimizer = tf.train.AdamOptimizer(learning_rate = lr)
self.build()
def sample_aggregate(self, input_args, bs, aggregator):
samples_arg = tf.nn.embedding_lookup(self.rpr_arg, input_args)
samples_weights = tf.nn.embedding_lookup(self.rpr_matrix, input_args)
samples_features = tf.nn.embedding_lookup(self.features, samples_arg)
batch_out = aggregator((samples_features, samples_weights, bs, FLAGS.k_RPR))
# out should be bs * d
return batch_out
def _build(self):
labels = tf.reshape(tf.cast(self.train_labels, dtype = tf.int64),
[self.batchsize, 1])
self.neg_samples, _, _ = (tf.nn.fixed_unigram_candidate_sampler(
true_classes = labels,
num_true = 1,
num_sampled = FLAGS.neg_sample_size,
unique = True,
range_max = len(self.degrees),
distortion = 0.75,
unigrams = self.degrees.tolist()))
self.train_inputs_f = self.sample_aggregate(self.train_inputs, self.batchsize, self.aggregator_t)
self.train_labels_f = self.sample_aggregate(self.train_labels, self.batchsize, self.aggregator_t)
self.neg_samples_f = self.sample_aggregate(self.neg_samples, FLAGS.neg_sample_size, self.aggregator_t)
self.embed = tf.nn.embedding_lookup(self.embeddings, self.train_inputs)
self.true_w = tf.nn.embedding_lookup(self.nce_weights, self.train_labels)
self.false_w = tf.nn.embedding_lookup(self.nce_weights, self.neg_samples)
self.train_inputs_all = tf.add(self.train_inputs_f, self.embed)
self.train_labels_all = tf.add(self.train_labels_f, self.true_w)
self.neg_samples_all = tf.add(self.neg_samples_f, self.false_w)
def build(self):
self._build()
if self.only_f:
self._f_loss()
else:
self._loss()
self._minimize()
def _minimize(self):
self.opt_op = self.optimizer.minimize(self.loss)
def _f_loss(self):
p1 = tf.reduce_sum(tf.multiply(self.train_inputs_f, self.train_labels_f), 1)
p1 = tf.log(tf.sigmoid(p1) + 0.001)
p2 = tf.reduce_sum(tf.matmul(self.train_inputs_f, tf.transpose(self.neg_samples_f)))
p2 = tf.log(tf.sigmoid(-p2) + 0.001)
temp_loss = p1 + p2
self.loss=-tf.reduce_sum(temp_loss) / tf.cast(self.batchsize, tf.float32)
tf.summary.scalar('loss', self.loss)
def _loss(self):
p1 = tf.reduce_sum(tf.multiply(self.train_inputs_f, self.train_labels_f), 1)
p1 = tf.log(tf.sigmoid(p1) + 0.001)
p2 = tf.reduce_sum(tf.matmul(self.train_inputs_f, tf.transpose(self.neg_samples_f)))
p2 = tf.log(tf.sigmoid(-p2) + 0.001)
p3 = tf.reduce_sum(tf.multiply(self.embed, self.true_w), 1)
p3 = tf.log(tf.sigmoid(p3) + 0.001)
p4 = tf.reduce_sum(tf.matmul(self.embed, tf.transpose(self.false_w)))
p4 = tf.log(tf.sigmoid(-p4) + 0.001)
p5 = tf.reduce_sum(tf.multiply(self.embed, self.train_labels_f), 1)
p5 = tf.log(tf.sigmoid(p5) + 0.001)
p6 = tf.reduce_sum(tf.matmul(self.embed, tf.transpose(self.neg_samples_f)))
p6 = tf.log(tf.sigmoid(-p6) + 0.001)
p7 = tf.reduce_sum(tf.multiply(self.true_w, self.train_inputs_f), 1)
p7 = tf.log(tf.sigmoid(p7) + 0.001)
p8 = tf.reduce_sum(tf.matmul(self.true_w, tf.transpose(self.neg_samples_f)))
p8 = tf.log(tf.sigmoid(-p8) + 0.001)
rho1 = 1.5
rho2 = 0.75
rho3 = 1.5
temp_loss = rho1*(p1+p2)+rho2*(p3+p4)+rho3*(p5+p6)+rho3*(p7+p8)
self.loss += -tf.reduce_sum(temp_loss) / tf.cast(self.batchsize, tf.float32)
tf.summary.scalar('loss', self.loss)
| 34.945504
| 105
| 0.704873
| 1,905
| 12,825
| 4.537533
| 0.132283
| 0.040606
| 0.026724
| 0.027071
| 0.778806
| 0.762147
| 0.751273
| 0.7441
| 0.7441
| 0.735423
| 0
| 0.025049
| 0.16577
| 12,825
| 367
| 106
| 34.945504
| 0.782877
| 0.048031
| 0
| 0.684615
| 0
| 0
| 0.029352
| 0
| 0
| 0
| 0
| 0
| 0.003846
| 1
| 0.092308
| false
| 0.003846
| 0.038462
| 0
| 0.153846
| 0.011538
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
2c5cd1efb11efb3916625512d05c6679a31c6cc1
| 42
|
py
|
Python
|
tempCodeRunnerFile.py
|
VDHARV/self-driving-car-rasberrypi
|
45e70ce97f00471d38aca87dc94dbae032823f24
|
[
"MIT"
] | null | null | null |
tempCodeRunnerFile.py
|
VDHARV/self-driving-car-rasberrypi
|
45e70ce97f00471d38aca87dc94dbae032823f24
|
[
"MIT"
] | null | null | null |
tempCodeRunnerFile.py
|
VDHARV/self-driving-car-rasberrypi
|
45e70ce97f00471d38aca87dc94dbae032823f24
|
[
"MIT"
] | null | null | null |
# motor.move(0.05, curve_val*sen, 0.2)
| 42
| 42
| 0.619048
| 9
| 42
| 2.777778
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.166667
| 42
| 1
| 42
| 42
| 0.571429
| 0.857143
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2c663e558b6c1937136c180dc356ce2610340af0
| 65
|
py
|
Python
|
app/modules/auth/__init__.py
|
joostsijm/ssg
|
c2da0d7274aa76dc2d565e20d1b4c3f0ef5241a1
|
[
"Apache-2.0"
] | null | null | null |
app/modules/auth/__init__.py
|
joostsijm/ssg
|
c2da0d7274aa76dc2d565e20d1b4c3f0ef5241a1
|
[
"Apache-2.0"
] | null | null | null |
app/modules/auth/__init__.py
|
joostsijm/ssg
|
c2da0d7274aa76dc2d565e20d1b4c3f0ef5241a1
|
[
"Apache-2.0"
] | null | null | null |
"""
Website login page
"""
from .app import BLUEPRINT as Auth
| 9.285714
| 35
| 0.676923
| 9
| 65
| 4.888889
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.215385
| 65
| 6
| 36
| 10.833333
| 0.862745
| 0.276923
| 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
|
2c846f84dea8ba02030b9ac75b5000203c217199
| 58
|
py
|
Python
|
msldap/protocol/ldap_filter/__init__.py
|
blshkv/msldap
|
435601df85faa407793555ed0da582aa709e3be1
|
[
"MIT"
] | 18
|
2018-03-03T20:17:19.000Z
|
2022-02-02T17:02:41.000Z
|
msldap/protocol/ldap_filter/__init__.py
|
blshkv/msldap
|
435601df85faa407793555ed0da582aa709e3be1
|
[
"MIT"
] | 2
|
2018-03-05T00:28:29.000Z
|
2020-05-02T20:26:24.000Z
|
msldap/protocol/ldap_filter/__init__.py
|
blshkv/msldap
|
435601df85faa407793555ed0da582aa709e3be1
|
[
"MIT"
] | 3
|
2020-03-10T22:49:07.000Z
|
2022-02-02T17:18:27.000Z
|
from .filter import Filter
from .parser import ParseError
| 19.333333
| 30
| 0.827586
| 8
| 58
| 6
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 58
| 2
| 31
| 29
| 0.96
| 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
|
2c9d9efd9053e2bf20ec3fc9415a36c4e24e4523
| 501
|
py
|
Python
|
Python-For-Everyone-Horstmann/Chapter11-Recursion/nose_is_lucky_number.py
|
islayy/Books-solutions
|
5fe05deb4e9f65875284d8af43bd383bf9ae145b
|
[
"MIT"
] | null | null | null |
Python-For-Everyone-Horstmann/Chapter11-Recursion/nose_is_lucky_number.py
|
islayy/Books-solutions
|
5fe05deb4e9f65875284d8af43bd383bf9ae145b
|
[
"MIT"
] | null | null | null |
Python-For-Everyone-Horstmann/Chapter11-Recursion/nose_is_lucky_number.py
|
islayy/Books-solutions
|
5fe05deb4e9f65875284d8af43bd383bf9ae145b
|
[
"MIT"
] | 1
|
2019-09-22T06:27:49.000Z
|
2019-09-22T06:27:49.000Z
|
# Unit tests for is_lucky_number.py
# IMPORTS
from is_lucky_number import is_lucky
from nose.tools import eq_
class TestIsLuckyNumber():
def test_is_lucky_8(self):
eq_(True, is_lucky(8))
def test_is_lucky_number_less_than_8(self):
eq_(False, is_lucky(5))
def test_is_lucky_number_18(self):
eq_(True, is_lucky(18))
def test_is_lucky_number_81(self):
eq_(True, is_lucky(81))
def test_is_lucky_number_91(self):
eq_(False, is_lucky(91))
| 20.875
| 47
| 0.696607
| 83
| 501
| 3.759036
| 0.325301
| 0.291667
| 0.25
| 0.224359
| 0.535256
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 0.209581
| 501
| 23
| 48
| 21.782609
| 0.747475
| 0.081836
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0
| 0.153846
| 0
| 0.615385
| 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
|
e2caa8f16d63a596ea98702f948bc7f9ca0f02f7
| 170
|
py
|
Python
|
datasets/VID2015/vid_2015_test.py
|
wakanda-ai/tf-detectors
|
9ae61b0070250a40dd90f8aeffcfece471151249
|
[
"MIT"
] | 11
|
2019-02-13T16:16:39.000Z
|
2020-08-19T11:27:44.000Z
|
datasets/VID2015/vid_2015_test.py
|
KanaSukita/tf-detectors
|
b8cefb0445008056ecafa75bf44e7840c3de72ea
|
[
"MIT"
] | 1
|
2019-09-15T09:25:38.000Z
|
2019-09-26T16:46:03.000Z
|
datasets/VID2015/vid_2015_test.py
|
wakanda-ai/tf-detectors
|
9ae61b0070250a40dd90f8aeffcfece471151249
|
[
"MIT"
] | 6
|
2018-06-03T10:38:05.000Z
|
2020-05-18T12:29:13.000Z
|
import os
import glob
import tensorflow as tf
# TODO:Make filename queue
# TODO:Bucketd batch
# TODO:Test Graph (Summarize to tensorboard)
# TODO:Test code (Tf.test)
| 14.166667
| 44
| 0.752941
| 26
| 170
| 4.923077
| 0.692308
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170588
| 170
| 11
| 45
| 15.454545
| 0.907801
| 0.652941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
39276408c74f6d1e87bd10de17fce8597df158f9
| 91
|
py
|
Python
|
neurolab/utils/__init__.py
|
udday2014/HebbianLearning
|
e0d17e53e3db8ce54b8fdd901702d2d6e0633732
|
[
"MIT"
] | 6
|
2020-01-08T05:36:09.000Z
|
2022-02-09T21:07:04.000Z
|
neurolab/utils/__init__.py
|
GabrieleLagani/HebbianPCA
|
2736bb3017fa30ad2c160c891d42361bc5894df5
|
[
"MIT"
] | null | null | null |
neurolab/utils/__init__.py
|
GabrieleLagani/HebbianPCA
|
2736bb3017fa30ad2c160c891d42361bc5894df5
|
[
"MIT"
] | 2
|
2022-03-04T08:28:44.000Z
|
2022-03-16T19:00:34.000Z
|
from .utils import *
from .logger import *
from .progtracker import *
from .config import *
| 22.75
| 26
| 0.747253
| 12
| 91
| 5.666667
| 0.5
| 0.441176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 4
| 27
| 22.75
| 0.894737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
|
392b609951be5c0c57322c3b314f9ea1d65f9019
| 78
|
py
|
Python
|
truecaller_data.py
|
AarkTechHub/puppeteer_in_python
|
a5b7ad4c5f02e852b29c3484c225948661e82286
|
[
"MIT"
] | null | null | null |
truecaller_data.py
|
AarkTechHub/puppeteer_in_python
|
a5b7ad4c5f02e852b29c3484c225948661e82286
|
[
"MIT"
] | null | null | null |
truecaller_data.py
|
AarkTechHub/puppeteer_in_python
|
a5b7ad4c5f02e852b29c3484c225948661e82286
|
[
"MIT"
] | null | null | null |
import asyncio
import json
from pyppeteer import launch
from time import sleep
| 19.5
| 28
| 0.858974
| 12
| 78
| 5.583333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141026
| 78
| 4
| 29
| 19.5
| 1
| 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
|
393ee6156aa9b43acf1df41691520450193acae5
| 108
|
py
|
Python
|
Lib/tdb/controller.py
|
smnbackwards/jython_tdb
|
6d0e13c0c51b8d92d7b45691998c5928206162b0
|
[
"CNRI-Jython"
] | null | null | null |
Lib/tdb/controller.py
|
smnbackwards/jython_tdb
|
6d0e13c0c51b8d92d7b45691998c5928206162b0
|
[
"CNRI-Jython"
] | null | null | null |
Lib/tdb/controller.py
|
smnbackwards/jython_tdb
|
6d0e13c0c51b8d92d7b45691998c5928206162b0
|
[
"CNRI-Jython"
] | null | null | null |
class Controller():
def __init__(self):
self.debugger = None
def get_cmd(self):
pass
| 21.6
| 28
| 0.592593
| 13
| 108
| 4.538462
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.305556
| 108
| 5
| 29
| 21.6
| 0.786667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.2
| 0
| 0
| 0.6
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
39527647cf8318f3c372c1bcc7ee5b13f18cb67f
| 81
|
py
|
Python
|
automatization_of_data_mining_project/data_set_loader/classes/pandas_data_set_loader/loader_validator/pathname_checker/pathname_checker.py
|
Sale1996/automatization_of_data_mining_project
|
223aec59231586563a3b125bff064f8420630a8f
|
[
"MIT"
] | null | null | null |
automatization_of_data_mining_project/data_set_loader/classes/pandas_data_set_loader/loader_validator/pathname_checker/pathname_checker.py
|
Sale1996/automatization_of_data_mining_project
|
223aec59231586563a3b125bff064f8420630a8f
|
[
"MIT"
] | null | null | null |
automatization_of_data_mining_project/data_set_loader/classes/pandas_data_set_loader/loader_validator/pathname_checker/pathname_checker.py
|
Sale1996/automatization_of_data_mining_project
|
223aec59231586563a3b125bff064f8420630a8f
|
[
"MIT"
] | null | null | null |
class PathNameChecker(object):
def check(self, pathname: str):
pass
| 16.2
| 35
| 0.654321
| 9
| 81
| 5.888889
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.246914
| 81
| 4
| 36
| 20.25
| 0.868852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 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
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
1a30c8c07446a29b3131db3c5e0363a440ade735
| 9,174
|
py
|
Python
|
climacell/tests/test_api.py
|
marcelblijleven/weather
|
802331f92f2554c05b04d4df9a2b1fe5d4e9fbc5
|
[
"MIT"
] | null | null | null |
climacell/tests/test_api.py
|
marcelblijleven/weather
|
802331f92f2554c05b04d4df9a2b1fe5d4e9fbc5
|
[
"MIT"
] | null | null | null |
climacell/tests/test_api.py
|
marcelblijleven/weather
|
802331f92f2554c05b04d4df9a2b1fe5d4e9fbc5
|
[
"MIT"
] | null | null | null |
import json
import os
from unittest import TestCase, mock
from climacell.api import Client, Measurement, Response, Error
from climacell.fields import (
FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY,
FIELD_WIND_SPEED, FIELD_WIND_GUST, FIELD_WIND_DIRECTION,
FIELD_SUNRISE, FIELD_SUNSET,
)
from climacell.utils import join_fields
ERROR_FILE = os.path.dirname(__file__) + '/data/error_example.json'
HOURLY_FILE = os.path.dirname(__file__) + '/data/hourly_example.json'
DAILY_FILE = os.path.dirname(__file__) + '/data/daily_example.json'
NOWCAST_FILE = os.path.dirname(__file__) + '/data/nowcast_example.json'
class MockResponse:
def __init__(self, data, status_code):
self.data = data
self.status_code = status_code
def json(self):
return self.data
def mock_requests_get(*args, **kwargs):
base_url = 'https://api.climacell.co/v3'
if args[0] is None:
return MockResponse(None, 404)
elif args[0] == base_url + '/weather/forecast/hourly':
file = HOURLY_FILE
elif args[0] == base_url + '/weather/nowcast':
file = NOWCAST_FILE
elif args[0] == base_url + '/weather/forecast/daily':
file = DAILY_FILE
with open(file) as json_file:
data = json.load(json_file)
return MockResponse(data, 200)
class TestMeasurement(TestCase):
def test_measurement__str__(self):
m = Measurement('temp', 13.04, 'C', '2021-01-14T21:00:00.000Z')
self.assertEqual('temp: 13.04 C at 2021-01-14 21:00:00+00:00', str(m))
m = Measurement('temp', 13.04, None, '2021-01-14T21:00:00.000Z')
self.assertEqual('temp: 13.04 at 2021-01-14 21:00:00+00:00', str(m))
class TestResponse(TestCase):
def test_get_measurements_error(self):
with open(ERROR_FILE) as f:
data = json.load(f)
mock_response = MockResponse(data, 400)
response = Response(mock_response, [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY])
self.assertTrue(response.has_error)
error = response.get_measurements()
self.assertTrue(isinstance(error, Error))
class TestError(TestCase):
def test_error(self):
with open(ERROR_FILE) as f:
data = json.load(f)
error = Error(data)
self.assertEqual(400, error.status_code)
self.assertEqual('Message body content not allowed.', error.message)
self.assertEqual('BadRequest', error.code)
def test_error_str(self):
with open(ERROR_FILE) as f:
data = json.load(f)
error = Error(data)
expected_str = 'BadRequest (400): Message body content not allowed.'
self.assertEqual(expected_str, str(error))
class TestClient(TestCase):
@mock.patch('climacell.api.requests.get', side_effect=mock_requests_get)
def test_hourly(self, mock_get):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
fields = [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]
response = client.hourly(lat=lat, lon=lon, fields=fields)
measurements = response.get_measurements()
expected_params = {
'lat': 52.446023244274045,
'lon': 4.819207798979252,
'start_time': 'now',
'unit_system': 'si',
'fields': join_fields([FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]),
}
mock_get.assert_called_with(
'https://api.climacell.co/v3/weather/forecast/hourly',
params=expected_params,
headers={'apikey': 'apikey'}
)
self.assertEqual(6, len(measurements))
def test_hourly_invalid_start_time(self):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
fields = [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]
start_time = 'yesterday'
self.assertRaises(
ValueError, client.hourly, lat, lon, fields, start_time
)
def test_hourly_invalid_end_time(self):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
fields = [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]
start_time = 'now'
end_time = 'tomorrow'
self.assertRaises(
ValueError, client.hourly, lat, lon, fields, start_time, end_time
)
@mock.patch('climacell.api.requests.get', side_effect=mock_requests_get)
def test_hourly_valid_end_time(self, mock_get):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
fields = [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]
start_time = 'now'
end_time = '2021-01-14T21:00:00.000Z'
response = client.hourly(lat, lon, fields, start_time, end_time)
self.assertFalse(response.has_error)
expected_params = {
'lat': 52.446023244274045,
'lon': 4.819207798979252,
'start_time': 'now',
'unit_system': 'si',
'fields': join_fields([FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]),
'end_time': '2021-01-14T21:00:00.000Z',
}
mock_get.assert_called_with(
'https://api.climacell.co/v3/weather/forecast/hourly',
params=expected_params,
headers={'apikey': 'apikey'}
)
@mock.patch('climacell.api.requests.get', side_effect=mock_requests_get)
def test_nowcast(self, mock_get):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
timestep = 30
fields = [
FIELD_TEMP,
FIELD_DEW_POINT,
FIELD_HUMIDITY,
FIELD_WIND_SPEED,
FIELD_WIND_GUST,
FIELD_WIND_DIRECTION,
FIELD_SUNRISE,
FIELD_SUNSET,
]
response = client.nowcast(lat=lat, lon=lon, fields=fields, timestep=timestep)
measurements = response.get_measurements()
expected_params = {
'lat': 52.446023244274045,
'lon': 4.819207798979252,
'timestep': 30,
'start_time': 'now',
'unit_system': 'si',
'fields': join_fields(fields),
}
mock_get.assert_called_with(
'https://api.climacell.co/v3/weather/nowcast',
params=expected_params,
headers={'apikey': 'apikey'}
)
# 13 timesteps, 8 measurements per timestep
self.assertEqual(13 * 8, len(measurements))
@mock.patch('climacell.api.requests.get', side_effect=mock_requests_get)
def test_nowcast_valid_end_time(self, mock_get):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
timestep = 30
fields = [FIELD_TEMP]
start_time = 'now'
end_time = '2021-01-14T21:00:00.000Z'
response = client.nowcast(
lat=lat, lon=lon, fields=fields, timestep=timestep,
start_time=start_time, end_time=end_time
)
self.assertFalse(response.has_error)
expected_params = {
'lat': 52.446023244274045,
'lon': 4.819207798979252,
'timestep': 30,
'start_time': 'now',
'unit_system': 'si',
'fields': join_fields(fields),
'end_time': end_time
}
mock_get.assert_called_with(
'https://api.climacell.co/v3/weather/nowcast',
params=expected_params,
headers={'apikey': 'apikey'}
)
def test_nowcast_invalid_start_time(self):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
timestep = 30
fields = [FIELD_TEMP]
start_time = 'yesterday'
self.assertRaises(
ValueError, client.nowcast, lat, lon, fields, timestep, start_time
)
def test_nowcast_invalid_end_time(self):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
timestep = 30
fields = [FIELD_TEMP]
start_time = 'now'
end_time = 'tomorrow'
self.assertRaises(
ValueError, client.nowcast, lat, lon, fields,
timestep, start_time, end_time
)
@mock.patch('climacell.api.requests.get', side_effect=mock_requests_get)
def test_daily(self, mock_get):
client = Client('apikey')
lat = 52.446023244274045
lon = 4.819207798979252
fields = [FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]
response = client.daily(lat=lat, lon=lon, fields=fields)
measurements = response.get_measurements()
expected_params = {
'lat': 52.446023244274045,
'lon': 4.819207798979252,
'start_time': 'now',
'unit_system': 'si',
'fields': join_fields([FIELD_TEMP, FIELD_DEW_POINT, FIELD_HUMIDITY]),
}
mock_get.assert_called_with(
'https://api.climacell.co/v3/weather/forecast/daily',
params=expected_params,
headers={'apikey': 'apikey'}
)
self.assertEqual(6, len(measurements))
| 32.076923
| 89
| 0.613909
| 1,051
| 9,174
| 5.126546
| 0.125595
| 0.033408
| 0.051967
| 0.059762
| 0.777654
| 0.755939
| 0.737379
| 0.710282
| 0.705457
| 0.701188
| 0
| 0.096813
| 0.274907
| 9,174
| 285
| 90
| 32.189474
| 0.713169
| 0.004469
| 0
| 0.541485
| 0
| 0.004367
| 0.136239
| 0.043369
| 0
| 0
| 0
| 0
| 0.09607
| 1
| 0.069869
| false
| 0
| 0.026201
| 0.004367
| 0.131004
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
1a8742acff5db584692475278eb95a3f3e386231
| 101
|
py
|
Python
|
todoapp/uptodo/admin.py
|
singh1114/up_todo
|
95cee64efe81551dd6485e3997353890e0b835fc
|
[
"MIT"
] | 1
|
2018-05-12T17:49:21.000Z
|
2018-05-12T17:49:21.000Z
|
todoapp/uptodo/admin.py
|
singh1114/up_todo
|
95cee64efe81551dd6485e3997353890e0b835fc
|
[
"MIT"
] | 3
|
2020-06-05T18:08:47.000Z
|
2021-06-10T20:15:35.000Z
|
todoapp/uptodo/admin.py
|
singh1114/up_todo
|
95cee64efe81551dd6485e3997353890e0b835fc
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from uptodo.models import TodoTask
admin.site.register(TodoTask)
| 14.428571
| 34
| 0.821782
| 14
| 101
| 5.928571
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118812
| 101
| 6
| 35
| 16.833333
| 0.932584
| 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
|
1a93b8082c4aece19ca19a2f25f9f9217a9eb181
| 107
|
py
|
Python
|
topCoder/srms/400s/srm460/div2/the_questions_and_answers_div_two.py
|
ferhatelmas/algo
|
a7149c7a605708bc01a5cd30bf5455644cefd04d
|
[
"WTFPL"
] | 25
|
2015-01-21T16:39:18.000Z
|
2021-05-24T07:01:24.000Z
|
topCoder/srms/400s/srm460/div2/the_questions_and_answers_div_two.py
|
gauravsingh58/algo
|
397859a53429e7a585e5f6964ad24146c6261326
|
[
"WTFPL"
] | 2
|
2020-09-30T19:39:36.000Z
|
2020-10-01T17:15:16.000Z
|
topCoder/srms/400s/srm460/div2/the_questions_and_answers_div_two.py
|
ferhatelmas/algo
|
a7149c7a605708bc01a5cd30bf5455644cefd04d
|
[
"WTFPL"
] | 15
|
2015-01-21T16:39:27.000Z
|
2020-10-01T17:00:22.000Z
|
class TheQuestionsAndAnswersDivTwo:
def find(self, questions):
return 2 ** len(set(questions))
| 26.75
| 39
| 0.700935
| 11
| 107
| 6.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011628
| 0.196262
| 107
| 3
| 40
| 35.666667
| 0.860465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
|
1acf1c903336e545480dffdb10478c73d777d910
| 61
|
py
|
Python
|
test/run/t73.py
|
timmartin/skulpt
|
2e3a3fbbaccc12baa29094a717ceec491a8a6750
|
[
"MIT"
] | 2,671
|
2015-01-03T08:23:25.000Z
|
2022-03-31T06:15:48.000Z
|
test/run/t73.py
|
csev/skulpt
|
9aa25b7dbf29f23ee8d3140d01a6f4353d12e66f
|
[
"MIT"
] | 972
|
2015-01-05T08:11:00.000Z
|
2022-03-29T13:47:15.000Z
|
test/run/t73.py
|
csev/skulpt
|
9aa25b7dbf29f23ee8d3140d01a6f4353d12e66f
|
[
"MIT"
] | 845
|
2015-01-03T19:53:36.000Z
|
2022-03-29T18:34:22.000Z
|
xyzy = [100,101,102,103,104,105,106,107]
del xyzy
print xyzy
| 15.25
| 40
| 0.721311
| 13
| 61
| 3.384615
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.444444
| 0.114754
| 61
| 3
| 41
| 20.333333
| 0.37037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
46dfa1c99f416376d3044a05d5ffd044a7c618f5
| 3,818
|
py
|
Python
|
bookclub/bookclub/bookclub_server/historycontroller.py
|
bookclubapp/bookclub_server
|
be6cf974373eb8aac436c9b3812864dcb53cdc89
|
[
"MIT"
] | null | null | null |
bookclub/bookclub/bookclub_server/historycontroller.py
|
bookclubapp/bookclub_server
|
be6cf974373eb8aac436c9b3812864dcb53cdc89
|
[
"MIT"
] | null | null | null |
bookclub/bookclub/bookclub_server/historycontroller.py
|
bookclubapp/bookclub_server
|
be6cf974373eb8aac436c9b3812864dcb53cdc89
|
[
"MIT"
] | 1
|
2019-07-05T12:46:18.000Z
|
2019-07-05T12:46:18.000Z
|
from django.forms import model_to_dict
from rest_framework.decorators import api_view
from rest_framework.utils import json
from .models import User, History,Match,Book
from django.http import JsonResponse
@api_view(['GET'])
def index_match(request): # WORKS
if "user" in request.session:
history = History.objects.filter(user_id=request.session['user'])
if history.exists():
history_list = []
index = 0
for line in history:
index += 1
if not line.match_id== None :
givingbook = Book.objects.get(id=line.match_id.giving_book_id)
wantedbook = Book.objects.get(id=line.match_id.wanted_book_id)
history_list.append({"match_history_info": model_to_dict(line),
"match_info": model_to_dict(line.match_id),
"giving_book_info" : model_to_dict(givingbook),
"wanted_book_info": model_to_dict(wantedbook),
})
if index > 50:
break
status = 'success'
message = 'history data send successfully'
else:
status = 'error'
message = 'no history for this user'
history_list = None
else:
status = 'error'
message = 'there is no user in the session'
history_list = None
json_data = {"status": status,
"message": message,
"history": history_list,
}
return JsonResponse(json_data)
@api_view(['GET'])
def index_suggestion(request): # WORKS
if "user" in request.session:
history = History.objects.filter(user_id=request.session['user'])
if history.exists():
history_list = []
index = 0
for line in history:
index += 1
if not line.suggestion_id == None :
givingbook = Book.objects.get(id=line.suggestion_id.giving_book_id)
wantedbook = Book.objects.get(id=line.suggestion_id.wanted_book_id)
history_list.append({"suggestion_history_info": model_to_dict(line),
"suggestion_info": model_to_dict(line.suggestion_id),
"giving_book_info": model_to_dict(givingbook),
"wanted_book_info": model_to_dict(wantedbook),
})
if index > 50:
break
status = 'success'
message = 'history data send successfully'
else:
status = 'error'
message = 'no history for this user'
history_list = None
else:
status = 'error'
message = 'there is no user in the session'
history_list = None
json_data = {"status": status,
"message": message,
"history": history_list,
}
return JsonResponse(json_data)
@api_view(['GET'])
def clear(request): # WORKS
if "user" in request.session:
history = History.objects.filter(user_id=request.session['user'])
if history.exists():
for item in history:
item.delete()
status = 'success'
message = 'history data deleted successfully'
else:
status = 'error'
message = 'no history for this user'
else:
status = 'error'
message = 'there is no user in the session'
json_data = {"status": status,
"message": message
}
return JsonResponse(json_data)
| 39.770833
| 97
| 0.523573
| 389
| 3,818
| 4.946015
| 0.172237
| 0.057173
| 0.051455
| 0.06237
| 0.85395
| 0.825884
| 0.745842
| 0.698025
| 0.660603
| 0.660603
| 0
| 0.003435
| 0.389995
| 3,818
| 96
| 98
| 39.770833
| 0.822671
| 0.004453
| 0
| 0.728261
| 0
| 0
| 0.138231
| 0.006056
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032609
| false
| 0
| 0.054348
| 0
| 0.119565
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
46e80c0198efd62a82d6c65280be72c38b64ff8d
| 7,940
|
py
|
Python
|
tests/commands/test_filter.py
|
alan-maguire/sdb
|
f8ce7f8571785dc7b9e3a80200df46b80a483f58
|
[
"Apache-2.0"
] | null | null | null |
tests/commands/test_filter.py
|
alan-maguire/sdb
|
f8ce7f8571785dc7b9e3a80200df46b80a483f58
|
[
"Apache-2.0"
] | null | null | null |
tests/commands/test_filter.py
|
alan-maguire/sdb
|
f8ce7f8571785dc7b9e3a80200df46b80a483f58
|
[
"Apache-2.0"
] | 1
|
2020-08-18T07:57:43.000Z
|
2020-08-18T07:57:43.000Z
|
#
# Copyright 2019 Delphix
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pylint: disable=missing-docstring
import pytest
import drgn
import sdb
from tests import invoke, MOCK_PROGRAM
def test_no_arg():
line = 'filter'
objs = []
with pytest.raises(sdb.CommandArgumentsError):
invoke(MOCK_PROGRAM, objs, line)
def test_no_rhs():
line = 'filter obj =='
objs = []
with pytest.raises(sdb.CommandInvalidInputError):
invoke(MOCK_PROGRAM, objs, line)
def test_no_lhs():
line = 'filter == obj'
objs = []
with pytest.raises(sdb.CommandInvalidInputError):
invoke(MOCK_PROGRAM, objs, line)
def test_no_operator():
line = 'filter obj'
objs = []
with pytest.raises(sdb.CommandInvalidInputError):
invoke(MOCK_PROGRAM, objs, line)
def test_no_input():
line = 'filter obj == obj'
objs = []
ret = invoke(MOCK_PROGRAM, objs, line)
assert not ret
def test_single_void_ptr_input_lhs_not_object():
line = 'filter 0 == obj'
objs = [drgn.Object(MOCK_PROGRAM, 'void *', value=0)]
with pytest.raises(sdb.CommandInvalidInputError):
invoke(MOCK_PROGRAM, objs, line)
def test_single_void_ptr_input_object_match():
line = 'filter obj == obj'
objs = [drgn.Object(MOCK_PROGRAM, 'void *', value=0)]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == 0
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
def test_single_void_ptr_input_value_match():
line = 'filter obj == 0'
objs = [drgn.Object(MOCK_PROGRAM, 'void *', value=0)]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == 0
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
def test_single_void_ptr_input_value_no_match():
line = 'filter obj == 1'
objs = [drgn.Object(MOCK_PROGRAM, 'void *', value=0)]
ret = invoke(MOCK_PROGRAM, objs, line)
assert not ret
def test_multi_void_ptr_input_value_match_eq():
line = 'filter obj == 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == 1
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
def test_multi_void_ptr_input_value_match_ne():
line = 'filter obj != 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
#
# This throws an error for all the wrong reasons. The operator this
# test is attempting to use is "!=", and due to a bug in the lexer
# used within "invoke", this operator does not reach the "filter"
# command. Instead, the lexer sees the "!" character and split the
# string into the following parts:
#
# 1. filter obj
# 2. = 1
#
# As a result, the "filter" command fails because it doesn't see a
# comparison operator as input to it.
#
with pytest.raises(sdb.CommandInvalidInputError):
invoke(MOCK_PROGRAM, objs, line)
def test_multi_void_ptr_input_value_match_gt():
line = 'filter obj > 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == 2
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
def test_multi_void_ptr_input_value_match_ge():
line = 'filter obj >= 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 2
assert ret[0].value_() == 1
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
assert ret[1].value_() == 2
assert ret[1].type_ == MOCK_PROGRAM.type('void *')
def test_multi_void_ptr_input_value_match_lt():
line = 'filter obj < 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == 0
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
def test_multi_void_ptr_input_value_match_le():
line = 'filter obj <= 1'
objs = [
drgn.Object(MOCK_PROGRAM, 'void *', value=0),
drgn.Object(MOCK_PROGRAM, 'void *', value=1),
drgn.Object(MOCK_PROGRAM, 'void *', value=2),
]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 2
assert ret[0].value_() == 0
assert ret[0].type_ == MOCK_PROGRAM.type('void *')
assert ret[1].value_() == 1
assert ret[1].type_ == MOCK_PROGRAM.type('void *')
def test_char_array_input_object_match():
line = 'filter obj == obj'
objs = [drgn.Object(MOCK_PROGRAM, 'char [4]', value=b"foo")]
with pytest.raises(sdb.CommandError):
invoke(MOCK_PROGRAM, objs, line)
def test_char_array_input_string_match():
line = 'filter obj == "foo"'
objs = [drgn.Object(MOCK_PROGRAM, 'char [4]', value=b"foo")]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].value_() == [102, 111, 111, 0]
assert ret[0].string_() == b'foo'
assert ret[0].type_ == MOCK_PROGRAM.type('char [4]')
def test_struct_input_int_member_match_eq():
line = 'filter obj.ts_int == 1'
objs = [MOCK_PROGRAM["global_struct"]]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].type_ == MOCK_PROGRAM.type('struct test_struct')
assert ret[0].address_of_().value_() == 0xffffffffc0a8aee0
def test_struct_input_int_member_match_gt():
line = 'filter obj.ts_int > 1'
objs = [MOCK_PROGRAM["global_struct"]]
ret = invoke(MOCK_PROGRAM, objs, line)
assert not ret
def test_struct_input_int_member_match_ge():
line = 'filter obj.ts_int >= 1'
objs = [MOCK_PROGRAM["global_struct"]]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].type_ == MOCK_PROGRAM.type('struct test_struct')
assert ret[0].address_of_().value_() == 0xffffffffc0a8aee0
def test_struct_input_int_member_match_lt():
line = 'filter obj.ts_int < 1'
objs = [MOCK_PROGRAM["global_struct"]]
ret = invoke(MOCK_PROGRAM, objs, line)
assert not ret
def test_struct_input_int_member_match_le():
line = 'filter obj.ts_int <= 1'
objs = [MOCK_PROGRAM["global_struct"]]
ret = invoke(MOCK_PROGRAM, objs, line)
assert len(ret) == 1
assert ret[0].type_ == MOCK_PROGRAM.type('struct test_struct')
assert ret[0].address_of_().value_() == 0xffffffffc0a8aee0
def test_struct_input_invalid_syntax():
line = 'filter obj->ts_int == 1'
objs = [MOCK_PROGRAM["global_struct"]]
with pytest.raises(sdb.CommandEvalSyntaxError):
invoke(MOCK_PROGRAM, objs, line)
def test_struct_input_bogus_member():
line = 'filter obj.ts_bogus == 1'
objs = [MOCK_PROGRAM["global_struct"]]
with pytest.raises(sdb.CommandError):
invoke(MOCK_PROGRAM, objs, line)
| 26.915254
| 74
| 0.65063
| 1,110
| 7,940
| 4.433333
| 0.140541
| 0.154237
| 0.086365
| 0.102418
| 0.778297
| 0.759805
| 0.753505
| 0.733184
| 0.715302
| 0.70758
| 0
| 0.0194
| 0.214484
| 7,940
| 294
| 75
| 27.006803
| 0.769601
| 0.126071
| 0
| 0.651429
| 0
| 0
| 0.11058
| 0
| 0
| 0
| 0.007816
| 0
| 0.24
| 1
| 0.137143
| false
| 0
| 0.022857
| 0
| 0.16
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
2025889e562640ab3f7a5f84f7f26ec8f1708fa8
| 13,225
|
py
|
Python
|
UniShared_python/website/tests/helpers/helpers_tests.py
|
UniShared/unishared
|
0abc36be9e4262a4928945f70ec030e46e05149b
|
[
"MIT"
] | null | null | null |
UniShared_python/website/tests/helpers/helpers_tests.py
|
UniShared/unishared
|
0abc36be9e4262a4928945f70ec030e46e05149b
|
[
"MIT"
] | null | null | null |
UniShared_python/website/tests/helpers/helpers_tests.py
|
UniShared/unishared
|
0abc36be9e4262a4928945f70ec030e46e05149b
|
[
"MIT"
] | 2
|
2019-03-03T17:34:48.000Z
|
2019-04-23T17:34:14.000Z
|
'''
Created on Dec 7, 2012
@author: arnaud
'''
import json
import apiclient
from apiclient.http import RequestMockBuilder
from django.conf import settings
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.utils import unittest
from mock import Mock
from UniShared_python.website.helpers.helpers import ProfileHelper, GoogleDriveHelper, LoggingHelper
from website.models import Training
class ProfileHelperTest(unittest.TestCase):
def testIsGmail_with_gmail_adress(self):
self.assertTrue(ProfileHelper.is_gmail('arnaud.breton91@gmail.com'), 'DNS test is not working')
def testIsGmail_with_gapps_adress(self):
self.assertTrue(ProfileHelper.is_gmail('arnaud@unishared.com'), 'DNS test is not working')
def testIsGmail_with_not_google_adress(self):
self.assertFalse(ProfileHelper.is_gmail('arnoo91@free.fr'), 'DNS test is not working')
class GoogleDriveHelperTest(unittest.TestCase):
def setUp(self):
super(GoogleDriveHelperTest, self).setUp()
self.logger = LoggingHelper.getDebugLogger()
def tearDown(self):
super(GoogleDriveHelperTest, self).tearDown()
Training.objects.all().delete()
User.objects.all().delete()
def test_get_document_url(self):
resource_id = 'toto'
url_expected = '{0}{1}'.format(settings.BASE_URL, reverse('website.views.embedded_document', args=[resource_id]))
self.assertEqual(GoogleDriveHelper.get_document_url(resource_id), url_expected)
def test_get_unistar_collection_name(self):
username = 'toto'
folder_name = GoogleDriveHelper._get_unistar_collection_name(username)
self.assertEqual(folder_name, '[UniShared-{0}] {1}'.format(settings.ENV_NAME, username))
def test_create_unistar_folder(self):
response = {
'id' : 'abcdef'
}
requestBuilder = RequestMockBuilder(
{
'drive.files.insert': (None, json.dumps(response)),
}
)
GoogleDriveHelper.get_docs_client = Mock()
GoogleDriveHelper.get_docs_client.return_value = apiclient.discovery.build("drive", "v2", requestBuilder=requestBuilder)
user = User.objects.create_user('arnaud.breton','test@unishared.com')
self.assertEqual(GoogleDriveHelper.create_unistar_folder(user), 'abcdef')
def test_search_documents(self):
response = {
'items': [
{
'id':'abcdef'
},
{
'id':'1234'
}
]
}
requestBuilder = RequestMockBuilder(
{
'drive.files.list': (None, json.dumps(response)),
}
)
GoogleDriveHelper.get_docs_client = Mock()
GoogleDriveHelper.get_docs_client.return_value = apiclient.discovery.build("drive", "v2", requestBuilder=requestBuilder)
creator = User.objects.create_user('test-user')
Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
Training.objects.create(resource_id='resource_id_test2', title='tata', creator=creator, is_displayed=True, is_deleted=False)
search_results = GoogleDriveHelper.search_documents('toto')
self.assertGreater(len(search_results), 0)
self.assertIn('abcdef', search_results)
self.assertIn('1234', search_results)
self.assertIn('resource_id_test', search_results)
self.assertNotIn('resource_id_test2', search_results)
def test_search_documents_title_only(self):
response = {
'items': [
{
'id':'abcdef'
},
{
'id':'1234'
}
]
}
requestBuilder = RequestMockBuilder(
{
'drive.files.list': (None, json.dumps(response)),
}
)
GoogleDriveHelper.get_docs_client = Mock()
GoogleDriveHelper.get_docs_client.return_value = apiclient.discovery.build("drive", "v2", requestBuilder=requestBuilder)
creator = User.objects.create_user('test-user')
Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
search_results = GoogleDriveHelper.search_documents('toto', title_only=True)
self.assertGreater(len(search_results), 0)
self.assertNotIn('abcdef', search_results)
self.assertNotIn('1234', search_results)
self.assertIn('resource_id_test', search_results)
self.assertEqual(GoogleDriveHelper.get_docs_client.call_count, 0)
def test_get_documents(self):
creator = User.objects.create_user('test-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
results = GoogleDriveHelper.get_documents([document, document2, document3])
self.assertIn(document, results)
self.assertIn(document2, results)
self.assertIn(document3, results)
def test_get_documents_max_documents(self):
creator = User.objects.create_user('test-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
results = GoogleDriveHelper.get_documents([document, document2, document3], max_documents=1)
self.assertIn(document, results)
self.assertNotIn(document2, results)
self.assertNotIn(document3, results)
def test_get_documents_max_documents_second_page(self):
creator = User.objects.create_user('test-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
results = GoogleDriveHelper.get_documents([document, document2, document3], max_documents=1, id_page=2)
self.assertNotIn(document, results)
self.assertIn(document2, results)
self.assertNotIn(document3, results)
def test_get_all_user_documents(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_user_documents(creator)
self.assertEqual(total_records, 1)
self.assertIn(document, results)
self.assertNotIn(document2, results)
def test_get_all_user_documents_max_documents(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_user_documents(creator, max_documents=1)
self.assertEqual(total_records, 2)
self.assertIn(document, results)
self.assertNotIn(document2, results)
self.assertNotIn(document3, results)
def test_get_all_user_documents_max_documents_second_page(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_user_documents(creator, max_documents=1, id_page=2)
self.assertEqual(total_records, 2)
self.assertNotIn(document, results)
self.assertNotIn(document2, results)
self.assertIn(document3, results)
def test_get_all_documents(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_documents()
self.assertEqual(total_records, 3)
self.assertIn(document, results)
self.assertIn(document2, results)
self.assertIn(document3, results)
def test_get_all_documents_max_documents(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_documents(max_documents=1)
self.assertEqual(total_records, 3)
self.assertIn(document, results)
self.assertNotIn(document2, results)
self.assertNotIn(document3, results)
def test_get_all_documents_max_documents_second_page(self):
creator = User.objects.create_user('test-user')
other_user = User.objects.create_user('other-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', creator=creator, is_displayed=True, is_deleted=False)
document2 = Training.objects.create(resource_id='resource_id_test2', title='toto', creator=other_user, is_displayed=True, is_deleted=False)
document3 = Training.objects.create(resource_id='resource_id_test3', title='toto', creator=creator, is_displayed=True, is_deleted=False)
total_records, results = GoogleDriveHelper.get_all_documents(max_documents=1, id_page=2)
self.assertEqual(total_records, 3)
self.assertNotIn(document, results)
self.assertIn(document2, results)
self.assertNotIn(document3, results)
def test_build_document_json(self):
creator_user = User.objects.create_user('test-user')
cowriter_user = User.objects.create_user('cowriter-user')
participant_user = User.objects.create_user('participant-user')
document = Training.objects.create(resource_id='resource_id_test', title='toto', type='document', creator=creator_user, is_displayed=True, is_deleted=False)
document.cowriters.add(cowriter_user)
document.participants.add(participant_user)
creator = ProfileHelper.get_user_json(creator_user)
cowriters = [ProfileHelper.get_user_json(cowriter) for cowriter in document.cowriters.all()]
participants = [{'id' : participant.id} for participant in document.participants.all()]
json_expected = {'resource' : { 'id' : document.resource_id, 'type' : document.type, 'title' : unicode(document.title), 'updated' : document.last_updated}, 'creator' : creator, 'cowriters' : cowriters, 'participants': participants}
self.assertEqual(GoogleDriveHelper._build_document_json(document), json_expected)
| 49.347015
| 239
| 0.710095
| 1,529
| 13,225
| 5.897319
| 0.096141
| 0.075413
| 0.069868
| 0.096484
| 0.761783
| 0.750915
| 0.745703
| 0.726517
| 0.715426
| 0.69247
| 0
| 0.010049
| 0.179811
| 13,225
| 268
| 240
| 49.347015
| 0.821241
| 0.002949
| 0
| 0.5
| 0
| 0
| 0.098869
| 0.004249
| 0
| 0
| 0
| 0
| 0.242574
| 1
| 0.09901
| false
| 0
| 0.049505
| 0
| 0.158416
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
64a63b0d24a4c5c55dfc9676ed96138875891f26
| 184
|
py
|
Python
|
skdecide/builders/discrete_optimization/rcpsp/solver/__init__.py
|
galleon/bug-free-invention
|
37bcea112da39d1390ff2b30951b36ee5dbc0e6d
|
[
"MIT"
] | null | null | null |
skdecide/builders/discrete_optimization/rcpsp/solver/__init__.py
|
galleon/bug-free-invention
|
37bcea112da39d1390ff2b30951b36ee5dbc0e6d
|
[
"MIT"
] | null | null | null |
skdecide/builders/discrete_optimization/rcpsp/solver/__init__.py
|
galleon/bug-free-invention
|
37bcea112da39d1390ff2b30951b36ee5dbc0e6d
|
[
"MIT"
] | null | null | null |
from .cp_solvers import CP_RCPSP_MZN, CP_MRCPSP_MZN
from .rcpsp_lp_solver import LP_RCPSP_Solver, LP_RCPSP, LP_MRCPSP
from .rcpsp_pile import PileSolverRCPSP, PileSolverRCPSP_Calendar
| 46
| 65
| 0.875
| 29
| 184
| 5.103448
| 0.413793
| 0.121622
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 184
| 3
| 66
| 61.333333
| 0.880952
| 0
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| 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
|
64d28de23962ec490336cab1bb52989ff14de3c6
| 96
|
py
|
Python
|
tests/api/mpi/config.py
|
calewis/sst-macro
|
067a2cb9f1606b652396b5dda6093096e5bcf2d7
|
[
"BSD-Source-Code"
] | 1
|
2020-04-20T08:23:30.000Z
|
2020-04-20T08:23:30.000Z
|
tests/api/mpi/config.py
|
calewis/sst-macro
|
067a2cb9f1606b652396b5dda6093096e5bcf2d7
|
[
"BSD-Source-Code"
] | 6
|
2020-04-20T08:22:20.000Z
|
2020-05-15T09:39:59.000Z
|
tests/api/mpi/config.py
|
calewis/sst-macro
|
067a2cb9f1606b652396b5dda6093096e5bcf2d7
|
[
"BSD-Source-Code"
] | null | null | null |
import sst.macro
sst.macro.loadLibrary("libsstmac_api_mpi_test.so")
sst.macro.setupDeprecated()
| 24
| 50
| 0.833333
| 14
| 96
| 5.5
| 0.714286
| 0.311688
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041667
| 96
| 3
| 51
| 32
| 0.836957
| 0
| 0
| 0
| 0
| 0
| 0.260417
| 0.260417
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 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
|
b3a8a88462c74f7cb6dfbb1b44dcbc3d1483ff69
| 99
|
py
|
Python
|
tgbotcallbackdata/__init__.py
|
Abstract-X/tgbotcallbackdata
|
4161d9bc695ac58477e0508032bc2efd12d2a2a4
|
[
"MIT"
] | null | null | null |
tgbotcallbackdata/__init__.py
|
Abstract-X/tgbotcallbackdata
|
4161d9bc695ac58477e0508032bc2efd12d2a2a4
|
[
"MIT"
] | null | null | null |
tgbotcallbackdata/__init__.py
|
Abstract-X/tgbotcallbackdata
|
4161d9bc695ac58477e0508032bc2efd12d2a2a4
|
[
"MIT"
] | null | null | null |
from .builders import AbstractBuilder, JSONBuilder
from .parsers import AbstractParser, JSONParser
| 33
| 50
| 0.858586
| 10
| 99
| 8.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10101
| 99
| 2
| 51
| 49.5
| 0.955056
| 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
|
373d45f8a96bdcfb2e856afb82e814d2767e5e3f
| 68
|
py
|
Python
|
path_import.py
|
5A59/Zvm
|
d093558c567488472252a4f6f87cecbc0ec2bd38
|
[
"Apache-2.0"
] | 485
|
2018-07-17T12:34:29.000Z
|
2022-03-19T20:02:25.000Z
|
path_import.py
|
5A59/Zvm
|
d093558c567488472252a4f6f87cecbc0ec2bd38
|
[
"Apache-2.0"
] | 1
|
2019-05-28T07:48:54.000Z
|
2019-05-28T07:48:54.000Z
|
path_import.py
|
5A59/Zvm
|
d093558c567488472252a4f6f87cecbc0ec2bd38
|
[
"Apache-2.0"
] | 54
|
2018-12-10T01:02:52.000Z
|
2021-08-31T03:32:31.000Z
|
# coding=utf-8
import sys
import os
sys.path.append([os.getcwd()])
| 11.333333
| 30
| 0.705882
| 12
| 68
| 4
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016667
| 0.117647
| 68
| 5
| 31
| 13.6
| 0.783333
| 0.176471
| 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
|
3742ed1a018719d2dce1ce70a7feab2488f0b165
| 83
|
py
|
Python
|
gym_brt/envs/rendering/__init__.py
|
Data-Science-in-Mechanical-Engineering/vision-based-furuta-pendulum
|
84bfc5a089a2a8ace250f030f0298d45a3f9772f
|
[
"MIT"
] | null | null | null |
gym_brt/envs/rendering/__init__.py
|
Data-Science-in-Mechanical-Engineering/vision-based-furuta-pendulum
|
84bfc5a089a2a8ace250f030f0298d45a3f9772f
|
[
"MIT"
] | null | null | null |
gym_brt/envs/rendering/__init__.py
|
Data-Science-in-Mechanical-Engineering/vision-based-furuta-pendulum
|
84bfc5a089a2a8ace250f030f0298d45a3f9772f
|
[
"MIT"
] | null | null | null |
from gym_brt.envs.rendering.qube_render import QubeRendererVpython as QubeRenderer
| 41.5
| 82
| 0.891566
| 11
| 83
| 6.545455
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072289
| 83
| 1
| 83
| 83
| 0.935065
| 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
|
37447f54a1495edcad746c282742bf8ab998d3f7
| 32
|
py
|
Python
|
Software/devel/lib/python2.7/dist-packages/emotiv_epoc/srv/__init__.py
|
kaaninan/Centauri
|
0412c350b2bc7b88d6cf1685b49a984a86d841b0
|
[
"MIT"
] | 1
|
2019-08-28T14:11:40.000Z
|
2019-08-28T14:11:40.000Z
|
Software/devel/lib/python2.7/dist-packages/emotiv_epoc/srv/__init__.py
|
kaaninan/Centauri
|
0412c350b2bc7b88d6cf1685b49a984a86d841b0
|
[
"MIT"
] | null | null | null |
Software/devel/lib/python2.7/dist-packages/emotiv_epoc/srv/__init__.py
|
kaaninan/Centauri
|
0412c350b2bc7b88d6cf1685b49a984a86d841b0
|
[
"MIT"
] | null | null | null |
from ._ChangeFrequency import *
| 16
| 31
| 0.8125
| 3
| 32
| 8.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 1
| 32
| 32
| 0.892857
| 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
|
37739ee84ec30da0eee8dc3827d7c2af23510a54
| 44
|
py
|
Python
|
models/cells/PC2015bForrest/__init__.py
|
HarshKhilawala/cerebmodels
|
d2a2f2ef947ef9dc23ddce6e55159240cd3233cb
|
[
"BSD-3-Clause"
] | null | null | null |
models/cells/PC2015bForrest/__init__.py
|
HarshKhilawala/cerebmodels
|
d2a2f2ef947ef9dc23ddce6e55159240cd3233cb
|
[
"BSD-3-Clause"
] | 9
|
2020-03-24T17:09:03.000Z
|
2021-05-17T16:11:17.000Z
|
models/cells/PC2015bForrest/__init__.py
|
myHBPwork/cerebmodels
|
371ea7f1bbe388f1acade17c7128b8ca6ab8fb7a
|
[
"BSD-3-Clause"
] | 1
|
2021-05-21T03:08:41.000Z
|
2021-05-21T03:08:41.000Z
|
# ~/models/cells/PC2015bForrest/__init__.py
| 22
| 43
| 0.795455
| 5
| 44
| 6.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 0.045455
| 44
| 1
| 44
| 44
| 0.642857
| 0.931818
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
37a7fd52d81a210de61e23ae3fcf184472024dcd
| 159
|
py
|
Python
|
day02/434.py
|
zsh2401/hello-python
|
6082071335123251cc653cf5667bce02031bb91f
|
[
"MulanPSL-1.0"
] | 1
|
2020-08-07T12:05:40.000Z
|
2020-08-07T12:05:40.000Z
|
day02/434.py
|
zsh2401/hello-python
|
6082071335123251cc653cf5667bce02031bb91f
|
[
"MulanPSL-1.0"
] | null | null | null |
day02/434.py
|
zsh2401/hello-python
|
6082071335123251cc653cf5667bce02031bb91f
|
[
"MulanPSL-1.0"
] | null | null | null |
# squares = []
# for value in range(1,11):
# squares.append(value ** 2);
# print(squares);
squares = [value ** 2 for value in range(1,11)]
print(squares)
| 19.875
| 47
| 0.622642
| 24
| 159
| 4.125
| 0.416667
| 0.161616
| 0.20202
| 0.30303
| 0.363636
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0.062016
| 0.188679
| 159
| 8
| 48
| 19.875
| 0.705426
| 0.540881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
37ace4fbac5573b3f944fe941d9da464ebb5f822
| 66
|
py
|
Python
|
polymera/bio/__init__.py
|
Edinburgh-Genome-Foundry/Polymera
|
2bccad046e2f705743079496c8fbe8e88ac3ece6
|
[
"MIT"
] | 1
|
2020-10-12T12:12:32.000Z
|
2020-10-12T12:12:32.000Z
|
polymera/bio/__init__.py
|
Edinburgh-Genome-Foundry/Polymera
|
2bccad046e2f705743079496c8fbe8e88ac3ece6
|
[
"MIT"
] | null | null | null |
polymera/bio/__init__.py
|
Edinburgh-Genome-Foundry/Polymera
|
2bccad046e2f705743079496c8fbe8e88ac3ece6
|
[
"MIT"
] | null | null | null |
from .dna import DNAAlphabet
from .protein import ProteinAlphabet
| 22
| 36
| 0.848485
| 8
| 66
| 7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 66
| 2
| 37
| 33
| 0.965517
| 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
|
37c160dad55cedf565e5d7db3afe891c40c49c9d
| 52
|
py
|
Python
|
models/__init__.py
|
kant/FRS-pytorch
|
7ff02ac405f0e66385466ecf720acfc0e4ec687d
|
[
"Apache-2.0"
] | null | null | null |
models/__init__.py
|
kant/FRS-pytorch
|
7ff02ac405f0e66385466ecf720acfc0e4ec687d
|
[
"Apache-2.0"
] | null | null | null |
models/__init__.py
|
kant/FRS-pytorch
|
7ff02ac405f0e66385466ecf720acfc0e4ec687d
|
[
"Apache-2.0"
] | null | null | null |
from . import resnet
from .model import build_model
| 17.333333
| 30
| 0.807692
| 8
| 52
| 5.125
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 52
| 2
| 31
| 26
| 0.931818
| 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
|
806d52263eaaa269ceb3c55a7b61c0d5925606a4
| 20
|
py
|
Python
|
PDF Viewer/pdfviewer_test.py
|
james-elliott2017/Takeoff-AI
|
764ed6f0a4285760ab14422aedd61eb0f955ca78
|
[
"MIT"
] | null | null | null |
PDF Viewer/pdfviewer_test.py
|
james-elliott2017/Takeoff-AI
|
764ed6f0a4285760ab14422aedd61eb0f955ca78
|
[
"MIT"
] | null | null | null |
PDF Viewer/pdfviewer_test.py
|
james-elliott2017/Takeoff-AI
|
764ed6f0a4285760ab14422aedd61eb0f955ca78
|
[
"MIT"
] | null | null | null |
#script for pdf GUI
| 10
| 19
| 0.75
| 4
| 20
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 20
| 1
| 20
| 20
| 0.9375
| 0.9
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8072e99a26693fbcc5174c12250d4d4915cde27a
| 53
|
py
|
Python
|
transparency_epias/markets/__init__.py
|
ErenEla/transparencyEpias
|
ad74ea3568b29d7610898243b0b778adb10951d3
|
[
"MIT"
] | 8
|
2020-05-14T12:10:19.000Z
|
2021-08-15T15:20:25.000Z
|
transparency_epias/markets/__init__.py
|
ErenEla/transparencyEpias
|
ad74ea3568b29d7610898243b0b778adb10951d3
|
[
"MIT"
] | 2
|
2020-05-30T15:59:43.000Z
|
2020-06-25T12:39:14.000Z
|
transparency_epias/markets/__init__.py
|
ErenEla/transparencyEpias
|
ad74ea3568b29d7610898243b0b778adb10951d3
|
[
"MIT"
] | 1
|
2020-10-30T03:27:21.000Z
|
2020-10-30T03:27:21.000Z
|
from transparency_epias.markets import dayaheadClient
| 53
| 53
| 0.924528
| 6
| 53
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056604
| 53
| 1
| 53
| 53
| 0.96
| 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
|
8075d8eae7586c51a377ddd5414116503dbdb420
| 8,890
|
py
|
Python
|
ntcl_build_tools/unit_test_writer.py
|
cheshyre/ntcl-build
|
133bb44af6c7a2017431ca78fd0e60b91396322a
|
[
"BSD-3-Clause"
] | null | null | null |
ntcl_build_tools/unit_test_writer.py
|
cheshyre/ntcl-build
|
133bb44af6c7a2017431ca78fd0e60b91396322a
|
[
"BSD-3-Clause"
] | null | null | null |
ntcl_build_tools/unit_test_writer.py
|
cheshyre/ntcl-build
|
133bb44af6c7a2017431ca78fd0e60b91396322a
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
import os
from .build_directory import BuildDirectory
from .debug_writer import debug_print
from .template_library import create_template_from_file
class UnitTestBuilder(object):
default_relative_template_directory = os.path.join('templates', 'test_templates')
template_directory = template_path = os.path.join(os.path.dirname(__file__), default_relative_template_directory)
unittest_template = os.path.join(template_directory, 'unittest_template.tpl')
module_header_template = os.path.join(template_directory, 'package_test_module_header.tpl')
run_header_template = os.path.join(template_directory, 'run_package_test_header.tpl')
run_statements_template = os.path.join(template_directory, 'package_test_run_statements.tpl')
ntcl_data_module_header_template = os.path.join(template_directory, 'unittest_ntcl-data-module_header.tpl')
ntcl_data_run_template = os.path.join(template_directory, 'unittest_ntcl-data_run.tpl')
ntcl_data_final_template = os.path.join(template_directory, 'unittest_ntcl-data_final.tpl')
def __init__(this, info, names):
this.info = info
this.names = names
def get_filename(this):
if ( this.info.has_flags() ) : return 'unittest.F90'
else: return 'unittest.f90'
def get_module_header(this):
s = ''
module = None
if "ntcl-algorithms" in this.info.uses or this.info.name=="ntcl-algorithms":
module = "algorithms"
elif "ntcl-tensor" in this.info.uses or this.info.name=="ntcl-tensor":
module = "tensor"
elif "ntcl-data" in this.info.uses or this.info.name=="ntcl-data":
module = "data"
if module is not None:
s += create_template_from_file(
this.ntcl_data_module_header_template).substitute(module=module) + "\n"
if ( this.info.has_flags() ) : s += this.get_module_header_with_flags()
else: s += this.get_module_header_without_flags(this.info.modules)
return s
def get_module_header_without_flags(this, names):
s = ''
for name in names:
s += create_template_from_file(
this.module_header_template).substitute(name=name)
return s
def get_module_header_with_flags(this):
s = ''
for flag in this.info.flags.keys():
if not this.info.flag_in_base_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_module_header_for_flag(flag, this.info.base_plugins)
s += '#endif\n\n'
s += this.get_module_header_without_flags(this.info.modules) + "\n"
for flag in this.info.flags.keys():
if not this.info.flag_in_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_module_header_for_flag(flag, this.info.plugins)
s += '#endif\n\n'
if this.info.has_api():
s += this.get_module_header_without_flags(this.info.api) + "\n"
return s[:-1]
def get_module_header_for_flag(this, flag, names):
s = ''
for name in names:
if ( this.info.module_in_flag(flag, name) ):
s += create_template_from_file(
this.module_header_template).substitute(name=name)
return s
def get_run_header(this):
if ( this.info.has_flags() ) : return this.get_run_header_with_flags()
else: return this.get_run_header_without_flags(this.info.modules)
def get_run_header_without_flags(this, names):
s = ''
for name in names:
s += create_template_from_file(
this.run_header_template).substitute(name=name)
return s
def get_run_header_with_flags(this):
s = ''
for flag in this.info.flags.keys():
if not this.info.flag_in_base_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_run_header_for_flag(flag, this.info.base_plugins)
s += '#endif\n\n'
s += this.get_run_header_without_flags(this.info.modules) + "\n"
for flag in this.info.flags.keys():
if not this.info.flag_in_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_run_header_for_flag(flag, this.info.plugins)
s += '#endif\n\n'
if this.info.has_api():
s += this.get_run_header_without_flags(this.info.api) + "\n"
return s[:-1]
def get_run_header_for_flag(this, flag, names):
s = ''
for name in names:
if ( this.info.module_in_flag(flag, name) ):
s += create_template_from_file(
this.run_header_template).substitute(name=name)
return s
def get_run_statements(this):
s = ''
module = None
if "ntcl-algorithms" in this.info.uses or this.info.name=="ntcl-algorithms":
module = "algorithms"
elif "ntcl-tensor" in this.info.uses or this.info.name=="ntcl-tensor":
module = "tensor"
elif "ntcl-data" in this.info.uses or this.info.name=="ntcl-data":
module = "data"
if module is not None:
s += create_template_from_file(
this.ntcl_data_run_template).substitute(module=module) + "\n"
if ( this.info.has_flags() ) : s += this.get_run_statements_with_flags()
else: s += this.get_run_statements_without_flags(this.info.modules)
if module is not None:
s += "\n" + create_template_from_file(
this.ntcl_data_final_template).substitute(module=module)
return s
def get_run_statements_without_flags(this, names):
s = ''
for name in names:
s += create_template_from_file(
this.run_statements_template).substitute(name=name) + "\n"
return s[:-1]
def get_run_statements_with_flags(this):
s = ''
for flag in this.info.flags.keys():
if not this.info.flag_in_base_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_run_statements_for_flag(flag, this.info.base_plugins)
s += '#endif\n\n'
s += this.get_run_statements_without_flags(this.info.modules) + "\n"
for flag in this.info.flags.keys():
if not this.info.flag_in_plugins(flag): continue
s += f'#ifdef {flag}\n'
s += this.get_run_statements_for_flag(flag, this.info.plugins)
s += '#endif\n\n'
if this.info.has_api():
s += this.get_run_statements_without_flags(this.info.api) + "\n"
return s[:-1]
def get_run_statements_for_flag(this, flag, names):
s = ''
for name in names:
if ( this.info.module_in_flag(flag, name) ):
s += create_template_from_file(
this.run_statements_template).substitute(name=name) + "\n"
return s[:-1]
def get_content(this):
module_header = this.get_module_header()
run_header = this.get_run_header()
run_statements = this.get_run_statements()
return create_template_from_file(this.unittest_template).substitute(
module_header=module_header, run_header=run_header,
run_statements=run_statements)
class DistributedUnitTestBuilder(UnitTestBuilder):
default_relative_template_directory = os.path.join('templates', 'test_templates')
template_directory = template_path = os.path.join(os.path.dirname(__file__), default_relative_template_directory)
module_header_template = os.path.join(template_directory, 'package_test_module_header.tpl')
run_header_template = os.path.join(template_directory, 'run_package_test_header.tpl')
unittest_template = os.path.join(template_directory, 'distributed_unittest_template.tpl')
run_statements_template = os.path.join(template_directory, 'distributed_package_test_run_statements.tpl')
class UnitTestWriter(object):
def __init__(this, info, names, bdir):
this.builder = UnitTestBuilder(info, names)
this.bdir = bdir
def write(this):
this.bdir.create_directory_if_it_does_not_exist()
this.bdir.create_makefile_if_it_does_not_exist()
filename = os.path.join(this.bdir.path, this.builder.get_filename())
debug_print(f'Write unittest to: {filename}')
with open(filename, 'w') as fh: fh.write(this.builder.get_content())
class DistributedUnitTestWriter(UnitTestWriter):
def __init__(this, info, names, bdir):
this.builder = DistributedUnitTestBuilder(info, names)
this.bdir = bdir
if __name__ == '__main__':
names = ['test1', 'test2', 'test3']
bdir = BuildDirectory('test', './test', True, True)
writer = UnitTestWriter(None, names, bdir)
writer.write()
| 38.652174
| 117
| 0.64207
| 1,171
| 8,890
| 4.578992
| 0.084543
| 0.079075
| 0.02984
| 0.045132
| 0.806416
| 0.760724
| 0.740022
| 0.701604
| 0.67997
| 0.621969
| 0
| 0.00194
| 0.246232
| 8,890
| 229
| 118
| 38.820961
| 0.798239
| 0.002362
| 0
| 0.573864
| 0
| 0
| 0.092139
| 0.037442
| 0
| 0
| 0
| 0
| 0
| 1
| 0.102273
| false
| 0
| 0.022727
| 0
| 0.3125
| 0.011364
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
2061eb0d3d1dc8431388e602c9c245c2a6409cf5
| 221
|
py
|
Python
|
embark/uploader/templatetags/filters.py
|
YulianaPoliakova/embark
|
5dc11114b2348ce1b580a9f18dd081018ac9d07f
|
[
"MIT"
] | 149
|
2021-07-27T08:22:33.000Z
|
2022-03-26T23:25:20.000Z
|
embark/uploader/templatetags/filters.py
|
IoTSecurity101/embark
|
cb0336459bf8d2a59c54b001fc0f4bf126a9b986
|
[
"MIT"
] | 105
|
2021-04-17T15:36:47.000Z
|
2021-07-13T19:48:09.000Z
|
embark/uploader/templatetags/filters.py
|
IoTSecurity101/embark
|
cb0336459bf8d2a59c54b001fc0f4bf126a9b986
|
[
"MIT"
] | 23
|
2021-07-30T07:34:53.000Z
|
2022-03-24T12:37:51.000Z
|
from django import template
from django.forms.fields import CheckboxInput
register = template.Library()
@register.filter(name='is_checkbox')
def is_checkbox(value):
return isinstance(value, CheckboxInput)
| 22.1
| 46
| 0.764706
| 26
| 221
| 6.423077
| 0.653846
| 0.11976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149321
| 221
| 9
| 47
| 24.555556
| 0.888298
| 0
| 0
| 0
| 0
| 0
| 0.051887
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 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
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
20639e570dd5d33d8a91348d6bf7c332fb8fcbf5
| 37
|
py
|
Python
|
tests/__init__.py
|
bieniu/accuweather
|
97eba43ac837e016635116f851e180241694c17b
|
[
"Apache-2.0"
] | 6
|
2020-09-18T14:57:24.000Z
|
2022-03-12T15:09:27.000Z
|
tests/__init__.py
|
bieniu/accuweather
|
97eba43ac837e016635116f851e180241694c17b
|
[
"Apache-2.0"
] | 1
|
2021-03-14T14:34:59.000Z
|
2021-03-14T14:34:59.000Z
|
tests/__init__.py
|
bieniu/accuweather
|
97eba43ac837e016635116f851e180241694c17b
|
[
"Apache-2.0"
] | 3
|
2021-03-14T13:34:54.000Z
|
2022-01-04T18:56:49.000Z
|
"""Tests for accuweather package."""
| 18.5
| 36
| 0.702703
| 4
| 37
| 6.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 37
| 1
| 37
| 37
| 0.787879
| 0.810811
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
206da0dd987429ad8f3d11bca07a2b0235fe2f82
| 47
|
py
|
Python
|
www/speed/benchmarks/set_list_item.py
|
user202729/brython
|
f07ad4a3d69b752385357a30d18f671e9febf26d
|
[
"BSD-3-Clause"
] | 3
|
2020-05-07T15:44:33.000Z
|
2021-11-13T15:15:55.000Z
|
www/speed/benchmarks/set_list_item.py
|
SungBeom/BBAM_Brython
|
107036ad20a94af1d43e5ce5bd7c73e6a470d687
|
[
"BSD-3-Clause"
] | 2
|
2017-04-14T03:52:41.000Z
|
2017-04-14T04:02:06.000Z
|
www/speed/benchmarks/set_list_item.py
|
SungBeom/BBAM_Brython
|
107036ad20a94af1d43e5ce5bd7c73e6a470d687
|
[
"BSD-3-Clause"
] | 2
|
2021-02-14T15:20:06.000Z
|
2021-11-13T15:15:58.000Z
|
a = [0]
for i in range(1000000):
a[0] = i
| 9.4
| 24
| 0.489362
| 10
| 47
| 2.3
| 0.7
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.28125
| 0.319149
| 47
| 4
| 25
| 11.75
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
20a61ca25f517112e1972b46dfbedec9916e7805
| 214
|
py
|
Python
|
generated-libraries/python/netapp/cifs/cifs_bc_version_control.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | 2
|
2017-03-28T15:31:26.000Z
|
2018-08-16T22:15:18.000Z
|
generated-libraries/python/netapp/cifs/cifs_bc_version_control.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
generated-libraries/python/netapp/cifs/cifs_bc_version_control.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
class CifsBcVersionControl(basestring):
"""
Versions of CIFS BranchCache that are currently supported.
"""
@staticmethod
def get_api_name():
return "cifs-bc-version-control"
| 21.4
| 62
| 0.64486
| 21
| 214
| 6.47619
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266355
| 214
| 9
| 63
| 23.777778
| 0.866242
| 0.271028
| 0
| 0
| 0
| 0
| 0.164286
| 0.164286
| 0
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| 0.25
| true
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| 0.75
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| 0
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| 1
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| 0
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| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
20e93cfbc74fb430a5835b774e100a345159bc0c
| 74
|
py
|
Python
|
frontend/src/gbuilder/Devices/UML_FreeDOS.py
|
ahmed-youssef/GINI
|
99c92a6e491bb17205b615b3dd8979895e3aa5bd
|
[
"MIT"
] | null | null | null |
frontend/src/gbuilder/Devices/UML_FreeDOS.py
|
ahmed-youssef/GINI
|
99c92a6e491bb17205b615b3dd8979895e3aa5bd
|
[
"MIT"
] | null | null | null |
frontend/src/gbuilder/Devices/UML_FreeDOS.py
|
ahmed-youssef/GINI
|
99c92a6e491bb17205b615b3dd8979895e3aa5bd
|
[
"MIT"
] | null | null | null |
from UML import *
class UML_FreeDOS(UML):
device_type="UML_FreeDOS"
| 12.333333
| 29
| 0.72973
| 11
| 74
| 4.636364
| 0.636364
| 0.392157
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175676
| 74
| 5
| 30
| 14.8
| 0.836066
| 0
| 0
| 0
| 0
| 0
| 0.150685
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
455f36375bbddd2676363fd03d53a17a15434d73
| 92
|
py
|
Python
|
backend/user/admin.py
|
feftio/eventer
|
dc222accea60c9d92cb5df8c1a9926b440c9ae2e
|
[
"MIT"
] | null | null | null |
backend/user/admin.py
|
feftio/eventer
|
dc222accea60c9d92cb5df8c1a9926b440c9ae2e
|
[
"MIT"
] | null | null | null |
backend/user/admin.py
|
feftio/eventer
|
dc222accea60c9d92cb5df8c1a9926b440c9ae2e
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from user import models
admin.site.register(models.User)
| 15.333333
| 32
| 0.815217
| 14
| 92
| 5.357143
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119565
| 92
| 5
| 33
| 18.4
| 0.925926
| 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
|
4584bec0c4a7008d7b78d2d8a90569193a389091
| 134
|
py
|
Python
|
messagecounter/__init__.py
|
frawhst/gooncogs
|
2301ba28b58c4d039c5064a9a014503e224578a4
|
[
"MIT"
] | 2
|
2021-10-06T08:05:01.000Z
|
2021-10-06T15:25:40.000Z
|
messagecounter/__init__.py
|
frawhst/gooncogs
|
2301ba28b58c4d039c5064a9a014503e224578a4
|
[
"MIT"
] | null | null | null |
messagecounter/__init__.py
|
frawhst/gooncogs
|
2301ba28b58c4d039c5064a9a014503e224578a4
|
[
"MIT"
] | 5
|
2021-09-11T23:44:44.000Z
|
2022-03-26T09:54:13.000Z
|
from redbot.core.bot import Red
from .messagecounter import MessageCounter
def setup(bot: Red):
bot.add_cog(MessageCounter(bot))
| 22.333333
| 42
| 0.783582
| 19
| 134
| 5.473684
| 0.578947
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126866
| 134
| 5
| 43
| 26.8
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0
| 0.75
| 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
| 1
| 0
| 1
| 0
|
0
| 5
|
459a6ed0e3e6a3bd2158cdafd451ef679caba32b
| 171
|
py
|
Python
|
pyrez/exceptions/NoResult.py
|
CLeendert/Pyrez
|
598d72d8b6bb9484f0c42c6146a262817332c666
|
[
"MIT"
] | 25
|
2018-07-26T02:32:14.000Z
|
2021-09-20T03:26:17.000Z
|
pyrez/exceptions/NoResult.py
|
CLeendert/Pyrez
|
598d72d8b6bb9484f0c42c6146a262817332c666
|
[
"MIT"
] | 93
|
2018-08-26T11:44:25.000Z
|
2022-03-28T08:22:18.000Z
|
pyrez/exceptions/NoResult.py
|
CLeendert/Pyrez
|
598d72d8b6bb9484f0c42c6146a262817332c666
|
[
"MIT"
] | 13
|
2018-09-05T09:38:07.000Z
|
2021-08-16T04:39:41.000Z
|
from .PyrezException import PyrezException
class NoResult(PyrezException):
def __init__(self, *args, **kwargs):
PyrezException.__init__(self, *args, **kwargs)
| 34.2
| 54
| 0.736842
| 17
| 171
| 6.941176
| 0.588235
| 0.135593
| 0.20339
| 0.305085
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146199
| 171
| 4
| 55
| 42.75
| 0.808219
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
45c64454dd39e8358bf585ff2447795ea12057dc
| 27
|
py
|
Python
|
datacatalog/views/__init__.py
|
SD2E/python-datacatalog
|
51ab366639505fb6e8a14cd6b446de37080cd20d
|
[
"CNRI-Python"
] | null | null | null |
datacatalog/views/__init__.py
|
SD2E/python-datacatalog
|
51ab366639505fb6e8a14cd6b446de37080cd20d
|
[
"CNRI-Python"
] | 2
|
2019-07-25T15:39:04.000Z
|
2019-10-21T15:31:46.000Z
|
datacatalog/views/__init__.py
|
SD2E/python-datacatalog
|
51ab366639505fb6e8a14cd6b446de37080cd20d
|
[
"CNRI-Python"
] | 1
|
2019-10-15T14:33:44.000Z
|
2019-10-15T14:33:44.000Z
|
from . import aggregations
| 13.5
| 26
| 0.814815
| 3
| 27
| 7.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 27
| 1
| 27
| 27
| 0.956522
| 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
|
45cef87352f0a5dc122155f88faf78818669d5d8
| 92
|
py
|
Python
|
setup.py
|
WesleyMPG/infeng
|
236fb4fc2e93f66645e8dd769748ecea2a075d9c
|
[
"MIT"
] | null | null | null |
setup.py
|
WesleyMPG/infeng
|
236fb4fc2e93f66645e8dd769748ecea2a075d9c
|
[
"MIT"
] | null | null | null |
setup.py
|
WesleyMPG/infeng
|
236fb4fc2e93f66645e8dd769748ecea2a075d9c
|
[
"MIT"
] | 1
|
2021-01-11T02:51:09.000Z
|
2021-01-11T02:51:09.000Z
|
from setuptools import setup, find_packages
setup(name="infeng", packages=find_packages())
| 23
| 46
| 0.804348
| 12
| 92
| 6
| 0.666667
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 92
| 3
| 47
| 30.666667
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0.065217
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
|
b3037d21b0a3d9221febabe4ba4ecbd3c3f05d85
| 102,436
|
py
|
Python
|
ctypesgencore/parser/parsetab.py
|
luzfcb/ctypesgen
|
80dae4adcbec8ad5c67908767558d7f39b070903
|
[
"BSD-3-Clause"
] | 3
|
2015-01-04T08:31:45.000Z
|
2015-02-09T21:18:49.000Z
|
ctypesgencore/parser/parsetab.py
|
luzfcb/ctypesgen
|
80dae4adcbec8ad5c67908767558d7f39b070903
|
[
"BSD-3-Clause"
] | 1
|
2016-06-03T11:38:54.000Z
|
2016-10-14T15:28:52.000Z
|
ctypesgencore/parser/parsetab.py
|
luzfcb/ctypesgen
|
80dae4adcbec8ad5c67908767558d7f39b070903
|
[
"BSD-3-Clause"
] | 3
|
2015-04-11T18:25:35.000Z
|
2018-10-19T21:46:10.000Z
|
# parsetab.py
# This file is automatically generated. Do not edit.
_lr_method = 'LALR'
_lr_signature = 'XP\xd6":$v\xd1\xacQ\xe2\x1d\xc8\x10T\xa2'
_lr_action_items = 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_lr_action = { }
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_action[(_x,_k)] = _y
del _lr_action_items
_lr_goto_items = {'expression_statement':([395,264,347,343,409,381,258,141,148,407,379,61,159,241,383,268,],[136,136,136,378,136,136,343,136,136,136,136,136,136,136,136,136,]),'storage_class_specifier':([29,141,28,222,55,60,61,232,65,2,3,328,1,238,168,],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,]),'str_opt_expr_pair':([422,412,413,390,],[404,418,404,404,]),'constant':([191,152,211,329,61,187,159,407,81,409,205,273,80,277,202,56,241,114,209,379,383,203,194,395,385,378,48,368,355,268,265,190,189,229,177,225,264,204,381,370,347,193,257,198,382,220,343,217,290,216,77,142,141,267,192,258,199,73,148,175,208,195,184,410,294,219,263,138,167,285,],[92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,]),'volatile_opt':([94,],[201,]),'unary_expression':([273,202,208,114,209,138,192,370,229,194,263,175,198,241,265,195,184,177,410,225,187,219,409,381,148,77,407,167,189,193,257,191,382,217,152,211,290,159,142,141,385,294,379,80,258,285,368,73,203,268,56,347,383,329,204,395,48,355,205,343,277,190,264,216,61,267,81,199,220,378,],[143,79,79,79,79,143,79,79,79,79,143,79,79,143,143,79,143,79,143,79,143,79,143,143,143,183,143,143,79,79,143,79,143,143,79,79,79,143,143,143,143,79,143,185,143,79,143,143,79,143,79,143,143,79,79,143,79,79,79,143,143,79,143,143,143,143,186,79,143,143,]),'struct_or_union_specifier':([138,2,168,88,169,222,67,65,328,187,48,55,1,279,238,82,28,73,232,141,61,3,287,60,170,29,173,],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,]),'exclusive_or_expression':([329,355,148,73,264,184,219,152,216,407,229,48,141,285,61,410,138,370,343,267,187,167,257,217,177,241,347,159,383,199,382,395,379,220,56,381,277,385,378,290,263,268,273,258,368,175,142,225,265,409,],[90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,292,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,]),'identifier_list':([55,],[129,]),'define':([1,],[23,]),'initializer':([385,277,167,],[401,352,275,]),'macro_param':([329,225,167,208,56,81,191,148,193,273,257,294,203,159,381,209,385,395,343,355,194,378,265,383,177,80,205,189,190,410,219,229,75,175,264,216,241,142,192,202,217,220,48,211,114,409,187,267,368,285,277,290,184,73,258,268,77,195,61,141,198,382,407,347,138,199,204,263,152,370,379,],[106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,180,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,]),'struct_declaration_list':([173,67,169,],[287,170,279,]),'macro_parameter_list':([71,],[176,]),'enumerator':([54,119,230,],[120,120,335,]),'declaration_list':([61,28,65,],[141,60,168,]),'iteration_statement':([148,264,407,395,383,61,159,241,379,381,347,141,268,409,],[137,137,137,137,137,137,137,137,137,137,137,137,137,137,]),'additive_expression':([265,329,355,217,220,229,395,257,73,264,142,138,208,285,61,268,381,195,56,277,343,290,152,216,407,199,209,48,383,241,148,187,382,410,141,205,370,203,204,347,379,263,184,368,219,409,167,202,378,211,159,194,258,267,175,273,385,225,177,198,],[84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,302,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,301,84,84,84,84,84,84,84,84,]),'assignment_expression':([167,216,258,265,220,148,347,264,184,217,410,241,263,381,383,407,378,267,385,187,409,379,277,73,273,268,159,257,141,61,395,382,343,142,368,138,],[276,320,161,161,161,161,161,161,161,161,161,161,344,161,161,161,161,161,276,161,161,161,276,161,161,161,161,342,161,161,161,161,161,161,391,161,]),'external_declaration':([1,],[15,]),'type_specifier':([67,29,28,328,88,279,48,173,232,238,141,222,3,60,82,287,65,138,61,73,168,169,1,55,187,170,2,],[82,29,29,29,82,82,82,82,29,29,29,29,29,29,82,82,29,82,29,82,29,82,29,29,82,82,29,]),'compound_statement':([60,264,409,383,159,268,241,65,347,141,61,381,407,148,379,168,28,395,],[134,144,144,144,144,144,144,166,144,144,144,144,144,144,144,278,57,144,]),'inclusive_or_expression':([73,407,152,409,329,379,167,385,184,368,61,395,175,48,148,241,347,159,268,277,370,199,220,56,225,216,267,378,343,219,258,265,383,381,229,285,410,217,263,257,355,290,138,142,264,382,141,187,273,],[72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,304,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,]),'pointer':([58,44,165,17,232,358,7,172,30,128,115,1,222,],[14,70,14,14,235,14,46,14,14,235,226,14,226,]),'selection_statement':([407,141,61,347,159,268,148,241,264,409,395,379,381,383,],[160,160,160,160,160,160,160,160,160,160,160,160,160,160,]),'postfix_expression':([73,192,294,56,199,194,263,187,383,378,175,77,217,141,152,189,285,159,219,142,193,257,329,355,81,395,379,268,381,205,202,190,410,204,61,241,290,208,148,229,407,277,265,114,184,409,203,138,267,216,343,198,264,191,347,382,211,48,220,177,368,273,225,385,195,370,167,80,258,209,],[110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,]),'asm_expression':([290,241,56,142,395,273,385,202,141,205,48,378,204,265,329,268,383,199,80,198,184,192,148,343,194,73,159,370,229,258,187,257,225,189,138,114,407,211,219,177,263,285,355,209,175,203,277,379,264,195,220,409,152,347,216,193,267,382,190,61,167,410,368,381,81,77,208,217,294,191,],[111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,]),'declaration_impl':([28,168,65,61,141,1,60,],[20,20,20,20,20,20,20,]),'and_expression':([370,167,217,152,285,198,73,219,381,385,383,273,257,61,141,199,290,343,263,184,329,264,410,56,379,395,268,159,347,241,225,409,148,277,216,229,265,187,138,378,267,220,355,175,142,258,382,48,177,368,407,],[107,107,107,107,107,303,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,]),'type_name':([73,48,138,187,],[179,89,179,295,]),'relational_expression':([378,73,241,217,264,382,263,48,211,225,285,258,381,177,347,268,159,368,175,273,219,329,409,343,138,184,56,209,355,257,142,148,187,370,267,277,198,395,216,152,379,410,220,61,383,141,167,199,208,265,385,407,229,290,],[97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,313,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,312,97,97,97,97,97,]),'statement':([264,407,381,347,379,148,409,159,241,395,61,141,268,383,],[345,414,398,380,397,260,416,272,260,406,154,154,349,400,]),'cast_expression':([395,407,217,385,159,347,229,202,177,257,211,343,189,193,273,73,285,258,209,198,216,184,264,114,194,382,203,378,409,205,219,187,267,138,381,329,208,220,195,56,142,268,61,141,175,148,379,370,192,204,152,191,241,48,190,225,294,410,199,167,290,265,383,368,277,263,355,],[98,98,98,98,98,98,98,98,98,98,98,98,98,300,98,98,98,98,98,98,98,98,98,221,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,299,98,98,298,98,98,98,98,364,98,98,98,98,98,98,98,98,98,98,]),'init_declarator':([58,165,30,],[63,274,63,]),'struct_declarator_list':([172,],[286,]),'logical_or_expression':([343,407,265,217,285,395,347,258,273,257,410,138,184,378,264,73,381,216,142,382,268,61,141,187,267,175,220,370,148,48,409,56,167,379,152,263,329,290,241,225,383,385,277,368,159,229,355,],[113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,]),'unary_operator':([77,141,241,148,277,159,192,407,56,184,194,409,294,203,187,217,205,189,198,219,202,142,382,190,211,220,204,368,273,257,225,258,167,208,379,385,229,265,114,138,378,267,175,290,61,285,191,355,370,343,48,193,177,329,152,195,81,80,209,264,395,216,73,268,381,199,263,410,347,383,],[114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,]),'translation_unit':([0,],[1,]),'struct_or_union':([55,141,3,88,173,232,170,287,328,48,60,2,61,82,238,138,67,222,169,29,187,279,168,1,28,73,65,],[41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,]),'type_qualifier_list':([7,],[44,]),'struct_declaration':([279,169,67,287,173,170,],[280,171,171,280,171,280,]),'string_literal':([203,148,381,265,220,216,395,202,294,382,80,219,412,347,77,241,211,167,192,410,189,142,56,184,370,217,422,263,198,285,205,383,152,379,175,190,195,390,75,407,264,177,277,290,378,225,208,191,114,267,355,187,409,329,204,258,343,368,193,138,199,159,268,257,141,48,229,61,385,305,81,194,413,209,73,273,],[85,85,85,85,85,85,85,85,85,85,85,85,403,85,85,85,85,85,85,85,85,85,85,85,85,85,403,85,85,85,85,85,85,85,85,85,85,403,182,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,366,85,85,403,85,85,85,]),'parameter_type_list':([222,232,328,55,],[326,326,374,126,]),'parameter_declaration':([328,232,238,55,222,],[127,127,338,127,127,]),'multiplicative_expression':([381,167,61,195,355,204,138,379,203,409,198,175,177,258,285,277,225,187,219,211,268,48,194,148,142,257,73,378,56,395,202,229,407,159,189,209,343,385,329,273,265,208,368,290,382,205,141,184,199,383,220,190,264,410,216,217,152,241,370,267,347,263,],[86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,296,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,297,86,86,86,86,86,86,86,86,86,86,]),'declarator':([232,165,1,30,128,58,172,17,358,],[51,133,28,65,234,133,283,51,283,]),'argument_expression_list':([216,],[321,]),'str_opt_expr_pair_list':([390,413,422,],[405,419,423,]),'statement_list':([61,141,],[148,241,]),'constant_expression':([48,290,56,175,225,285,152,329,355,229,],[99,362,132,289,330,356,266,376,386,334,]),'enumerator_list_iso':([54,119,],[123,123,]),'primary_expression':([385,73,187,220,370,267,277,199,191,209,204,241,347,208,257,48,211,205,159,355,194,379,219,61,141,175,290,329,198,343,216,138,184,56,264,265,294,152,410,285,192,258,407,229,202,77,381,378,148,273,268,409,395,80,81,382,195,225,177,142,203,368,114,190,193,217,383,189,167,263,],[101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,]),'declaration_specifiers':([29,222,238,232,28,168,328,60,1,61,141,55,65,3,2,],[62,128,128,128,58,58,128,58,30,58,58,128,58,43,42,]),'declaration':([141,60,1,168,65,28,61,],[135,135,31,135,59,59,59,]),'direct_declarator':([172,1,128,235,14,30,358,232,58,17,165,],[27,27,27,50,50,27,27,27,27,27,27,]),'logical_and_expression':([347,56,407,355,138,378,61,141,379,395,290,220,48,175,263,410,258,285,277,225,187,267,73,229,142,381,329,273,265,167,368,343,385,383,184,264,241,409,370,268,216,217,152,219,148,257,159,382,],[93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,323,93,93,93,93,]),'init_declarator_list':([58,30,],[64,64,]),'shift_expression':([208,229,211,378,241,184,216,410,285,141,409,379,217,395,265,263,202,257,56,167,199,187,219,159,258,370,264,209,175,220,205,385,142,225,329,273,368,383,347,355,177,48,343,152,267,382,407,198,277,148,61,290,204,203,73,381,268,138,],[87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,306,87,87,87,87,87,87,87,87,87,87,87,87,87,309,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,308,307,87,87,87,87,]),'equality_expression':([48,268,381,378,343,368,216,267,56,199,385,225,177,198,383,265,355,241,217,148,229,395,257,347,409,61,379,277,184,290,152,167,407,211,159,258,175,273,187,382,329,141,220,73,264,370,142,138,263,285,219,410,],[102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,316,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,]),'jump_statement':([264,159,381,379,347,407,141,268,241,148,61,395,383,409,],[155,155,155,155,155,155,155,155,155,155,155,155,155,155,]),'struct_declarator':([358,172,],[387,282,]),'function_definition':([1,],[33,]),'parameter_list':([328,222,55,232,],[130,130,130,130,]),'enum_specifier':([82,170,29,168,61,1,3,88,48,222,169,232,65,287,60,238,173,28,328,67,187,141,73,279,138,55,2,],[38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,]),'type_qualifier':([187,55,88,82,44,28,169,328,238,279,65,173,222,60,141,7,287,2,138,73,232,29,168,67,3,61,48,170,1,],[88,3,88,88,69,3,88,3,3,88,3,88,3,3,3,45,88,3,88,88,3,3,3,88,3,3,88,88,3,]),'enumerator_list':([119,54,],[227,121,]),'labeled_statement':([141,148,395,407,61,383,379,159,268,241,347,264,409,381,],[140,140,140,140,140,140,140,140,140,140,140,140,140,140,]),'abstract_declarator':([115,222,232,128,],[223,327,327,233,]),'specifier_qualifier_list':([169,170,173,48,279,73,187,138,287,88,82,67,],[172,172,172,115,172,115,115,115,172,196,188,172,]),'multi_string_literal':([205,267,138,203,184,114,265,229,343,290,81,410,385,61,257,204,193,192,347,190,142,202,381,159,219,268,285,379,152,395,217,294,209,264,263,194,199,407,241,355,258,80,195,189,141,77,175,273,382,220,378,383,187,56,73,198,216,167,370,277,148,409,225,329,368,177,48,211,208,191,],[75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,]),'assignment_operator':([143,],[257,]),'initializer_list':([277,],[353,]),'conditional_expression':([257,56,217,285,187,265,141,258,241,148,48,385,216,368,273,184,329,159,378,343,267,407,73,225,263,410,370,277,268,382,264,167,175,152,395,409,138,61,290,355,229,220,381,383,142,379,347,],[163,116,163,116,163,163,163,163,163,163,116,163,163,163,163,163,116,163,163,163,163,163,163,116,163,163,392,163,163,163,163,163,116,116,163,163,163,163,116,116,116,163,163,163,163,163,163,]),'direct_abstract_declarator':([115,235,226,128,232,222,],[224,332,332,224,224,224,]),'identifier':([205,410,368,285,407,294,195,56,264,208,203,277,355,273,175,263,199,258,81,207,148,385,267,61,141,77,329,290,220,210,167,73,193,219,381,204,382,138,347,225,177,265,229,48,184,187,378,189,192,216,383,209,217,343,409,114,190,241,202,198,257,80,142,370,159,211,152,268,191,379,395,194,],[76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,311,76,76,76,76,76,76,76,76,76,314,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,]),'expression':([378,73,187,381,343,409,265,61,268,379,347,264,267,142,273,383,138,410,258,141,159,148,382,184,217,395,220,407,241,],[396,178,178,149,149,149,346,149,149,149,149,149,348,245,351,149,178,417,149,149,149,149,399,178,322,149,324,149,149,]),}
_lr_goto = { }
for _k, _v in _lr_goto_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_goto[(_x,_k)] = _y
del _lr_goto_items
_lr_productions = [
("S'",1,None,None,None),
('translation_unit',0,'p_translation_unit','ctypesgencore/parser/cgrammar.py',57),
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('external_declaration',1,'p_external_declaration','ctypesgencore/parser/cgrammar.py',997),
('function_definition',4,'p_function_definition','ctypesgencore/parser/cgrammar.py',1003),
('function_definition',3,'p_function_definition','ctypesgencore/parser/cgrammar.py',1004),
('function_definition',3,'p_function_definition','ctypesgencore/parser/cgrammar.py',1005),
('function_definition',2,'p_function_definition','ctypesgencore/parser/cgrammar.py',1006),
('define',3,'p_define','ctypesgencore/parser/cgrammar.py',1010),
('define',4,'p_define','ctypesgencore/parser/cgrammar.py',1011),
('define',4,'p_define','ctypesgencore/parser/cgrammar.py',1012),
('define',5,'p_define','ctypesgencore/parser/cgrammar.py',1013),
('define',6,'p_define','ctypesgencore/parser/cgrammar.py',1014),
('define',6,'p_define','ctypesgencore/parser/cgrammar.py',1015),
('define',7,'p_define','ctypesgencore/parser/cgrammar.py',1016),
('define',3,'p_define_error','ctypesgencore/parser/cgrammar.py',1049),
('macro_parameter_list',1,'p_macro_parameter_list','ctypesgencore/parser/cgrammar.py',1078),
('macro_parameter_list',3,'p_macro_parameter_list','ctypesgencore/parser/cgrammar.py',1079),
]
| 360.690141
| 63,748
| 0.686243
| 22,738
| 102,436
| 3.046354
| 0.033116
| 0.070494
| 0.100176
| 0.107597
| 0.269663
| 0.262473
| 0.24642
| 0.201854
| 0.171031
| 0.168057
| 0
| 0.50575
| 0.008435
| 102,436
| 283
| 63,749
| 361.964664
| 0.17621
| 0.000605
| 0
| 0.007299
| 1
| 0
| 0.18986
| 0.124939
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
b3129ace6571614adcaca241a7d80cb8f7bda4b7
| 86
|
py
|
Python
|
data/snippets/py/USEFUL_IMPORTS.py
|
netcharm/ironclad
|
5892c43b540b216d638e0fed2e6cf3fd8289fdfc
|
[
"PSF-2.0"
] | null | null | null |
data/snippets/py/USEFUL_IMPORTS.py
|
netcharm/ironclad
|
5892c43b540b216d638e0fed2e6cf3fd8289fdfc
|
[
"PSF-2.0"
] | null | null | null |
data/snippets/py/USEFUL_IMPORTS.py
|
netcharm/ironclad
|
5892c43b540b216d638e0fed2e6cf3fd8289fdfc
|
[
"PSF-2.0"
] | null | null | null |
from System import IntPtr, NullReferenceException
from Ironclad import CPyMarshal
| 21.5
| 50
| 0.837209
| 9
| 86
| 8
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151163
| 86
| 3
| 51
| 28.666667
| 0.986301
| 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
|
2fa3fbcfb8d25838969745efc535fa06d9956932
| 295
|
py
|
Python
|
crank/net/trainer/__init__.py
|
abeersaqib/crank
|
0241ef46a618e24212e4a73b399e2293b4ffca08
|
[
"MIT"
] | 162
|
2020-05-28T05:24:50.000Z
|
2022-03-26T00:12:40.000Z
|
crank/net/trainer/__init__.py
|
abeersaqib/crank
|
0241ef46a618e24212e4a73b399e2293b4ffca08
|
[
"MIT"
] | 39
|
2020-05-29T08:18:03.000Z
|
2022-01-08T13:32:47.000Z
|
crank/net/trainer/__init__.py
|
abeersaqib/crank
|
0241ef46a618e24212e4a73b399e2293b4ffca08
|
[
"MIT"
] | 31
|
2020-05-28T12:31:08.000Z
|
2022-02-19T14:58:35.000Z
|
from .basetrainer import BaseTrainer # noqa
from .trainer_vqvae import VQVAETrainer # noqa
from .trainer_lsgan import LSGANTrainer # noqa
from .trainer_cyclegan import CycleGANTrainer # noqa
from .trainer_stargan import StarGANTrainer # noqa
from .basetrainer import TrainerWrapper # noqa
| 42.142857
| 53
| 0.816949
| 34
| 295
| 6.970588
| 0.411765
| 0.168776
| 0.253165
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142373
| 295
| 6
| 54
| 49.166667
| 0.936759
| 0.098305
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 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
|
2fdee3e464d987bc7037a463cf7a4ac6cd24b5a5
| 130
|
py
|
Python
|
helpdesk/tasks.py
|
AmatorAVG/django-helpdesk-atoria
|
0e530b02a6ff0144e9a7d0f12a2af4e33f6b7ed9
|
[
"BSD-3-Clause",
"CC-BY-4.0",
"MIT"
] | 1
|
2020-04-10T15:49:13.000Z
|
2020-04-10T15:49:13.000Z
|
helpdesk/tasks.py
|
AmatorAVG/django-helpdesk-atoria
|
0e530b02a6ff0144e9a7d0f12a2af4e33f6b7ed9
|
[
"BSD-3-Clause",
"CC-BY-4.0",
"MIT"
] | null | null | null |
helpdesk/tasks.py
|
AmatorAVG/django-helpdesk-atoria
|
0e530b02a6ff0144e9a7d0f12a2af4e33f6b7ed9
|
[
"BSD-3-Clause",
"CC-BY-4.0",
"MIT"
] | 1
|
2021-11-12T19:43:11.000Z
|
2021-11-12T19:43:11.000Z
|
from celery import shared_task
from .email import process_email
@shared_task
def helpdesk_process_email():
process_email()
| 14.444444
| 32
| 0.8
| 18
| 130
| 5.444444
| 0.5
| 0.367347
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146154
| 130
| 8
| 33
| 16.25
| 0.882883
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 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
|
6408b47db9c14da5b66b2729935bb93507193cbc
| 63
|
py
|
Python
|
tests/guinea-pigs/nose/docstrings/testa.py
|
djeebus/teamcity-python
|
b4d38efc1f2c8269128715bf084de9a2d463a922
|
[
"Apache-2.0"
] | 105
|
2015-06-24T15:40:41.000Z
|
2022-02-04T10:30:34.000Z
|
tests/guinea-pigs/nose/docstrings/testa.py
|
djeebus/teamcity-python
|
b4d38efc1f2c8269128715bf084de9a2d463a922
|
[
"Apache-2.0"
] | 145
|
2015-06-24T15:26:28.000Z
|
2022-03-22T20:04:19.000Z
|
tests/guinea-pigs/nose/docstrings/testa.py
|
djeebus/teamcity-python
|
b4d38efc1f2c8269128715bf084de9a2d463a922
|
[
"Apache-2.0"
] | 76
|
2015-07-20T08:18:21.000Z
|
2022-03-18T20:03:53.000Z
|
def test_func():
""" My cool test.name """
assert True
| 15.75
| 29
| 0.571429
| 9
| 63
| 3.888889
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.269841
| 63
| 3
| 30
| 21
| 0.76087
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 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
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
642f9d30fbfa0e8008cd5ea1061ba7c3bfbc0e99
| 287
|
py
|
Python
|
wecs/panda3d/__init__.py
|
thetestgame/wecs
|
16ac277ec96d7689e7b5c9c245c0f81d57c955bb
|
[
"BSD-3-Clause"
] | 13
|
2019-06-18T22:05:53.000Z
|
2021-11-29T21:43:23.000Z
|
wecs/panda3d/__init__.py
|
thetestgame/wecs
|
16ac277ec96d7689e7b5c9c245c0f81d57c955bb
|
[
"BSD-3-Clause"
] | 21
|
2019-12-31T10:11:05.000Z
|
2020-11-01T23:00:24.000Z
|
wecs/panda3d/__init__.py
|
thetestgame/wecs
|
16ac277ec96d7689e7b5c9c245c0f81d57c955bb
|
[
"BSD-3-Clause"
] | 6
|
2019-09-30T20:49:40.000Z
|
2020-11-10T01:31:55.000Z
|
from .core import ECSShowBase
import wecs.panda3d.prototype
import wecs.panda3d.camera
import wecs.panda3d.ai
import wecs.panda3d.animation
import wecs.panda3d.debug
import wecs.panda3d.spawnpoints
import wecs.panda3d.mouseover
import wecs.panda3d.avatar_ui
import wecs.panda3d.gravity
| 23.916667
| 31
| 0.853659
| 41
| 287
| 5.95122
| 0.390244
| 0.368852
| 0.627049
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034091
| 0.080139
| 287
| 11
| 32
| 26.090909
| 0.890152
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 0
|
0
| 5
|
64343735ec01a5554489357de370e02882774b62
| 71
|
py
|
Python
|
b2/account_info/__init__.py
|
SergeyBurma/B2_Command_Line_Tool
|
65d8adf080e1502cd51c78f9bc9ce3b0bc787147
|
[
"MIT"
] | 1
|
2020-09-06T09:32:44.000Z
|
2020-09-06T09:32:44.000Z
|
b2/account_info/__init__.py
|
SergeyBurma/B2_Command_Line_Tool
|
65d8adf080e1502cd51c78f9bc9ce3b0bc787147
|
[
"MIT"
] | null | null | null |
b2/account_info/__init__.py
|
SergeyBurma/B2_Command_Line_Tool
|
65d8adf080e1502cd51c78f9bc9ce3b0bc787147
|
[
"MIT"
] | null | null | null |
from .in_memory import InMemoryAccountInfo
assert InMemoryAccountInfo
| 17.75
| 42
| 0.887324
| 7
| 71
| 8.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098592
| 71
| 3
| 43
| 23.666667
| 0.96875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
643c9d3941ee6de028f774e942032f993146016a
| 39
|
py
|
Python
|
tests/__init__.py
|
JessBinder/rafm
|
97032238506c9e4f70f89e7c4ab3d4ce06ea23b0
|
[
"MIT"
] | 1
|
2022-01-27T18:55:05.000Z
|
2022-01-27T18:55:05.000Z
|
tests/__init__.py
|
JessBinder/rafm
|
97032238506c9e4f70f89e7c4ab3d4ce06ea23b0
|
[
"MIT"
] | 44
|
2021-11-11T22:23:27.000Z
|
2022-03-28T22:37:02.000Z
|
tests/__init__.py
|
JessBinder/rafm
|
97032238506c9e4f70f89e7c4ab3d4ce06ea23b0
|
[
"MIT"
] | 2
|
2021-11-01T16:38:55.000Z
|
2021-11-02T20:34:41.000Z
|
"""Test suite for the rafm package."""
| 19.5
| 38
| 0.666667
| 6
| 39
| 4.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 39
| 1
| 39
| 39
| 0.787879
| 0.820513
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ff2e378820d177808e26f4f3acd952da0df64664
| 509
|
py
|
Python
|
others/utils.py
|
booleangabs/Machine-Learning-With-Numpy
|
6a493c67979290e0a1d03cc8fb97f78448bd2156
|
[
"MIT"
] | null | null | null |
others/utils.py
|
booleangabs/Machine-Learning-With-Numpy
|
6a493c67979290e0a1d03cc8fb97f78448bd2156
|
[
"MIT"
] | null | null | null |
others/utils.py
|
booleangabs/Machine-Learning-With-Numpy
|
6a493c67979290e0a1d03cc8fb97f78448bd2156
|
[
"MIT"
] | null | null | null |
import numpy as np
class Constants:
# Preprocessing (ppr)
PPR_SCALE_MINMAX = 0
PPR_SCALE_STD = 1
# Encoding (enc)
ENC_CAT2ONEHOT = 0
ENC_ONEHOT2CAT = 1
class Algorithm:
def __init__(self):
pass
def fit(self):
raise NotImplementedError()
def predict(self):
raise NotImplementedError()
def initializeWeights(n_inputs, n_outputs):
abs_n = 1 / n_inputs
return np.random.uniform(-abs_n, abs_n, (n_inputs, n_outputs))
| 21.208333
| 66
| 0.630648
| 63
| 509
| 4.809524
| 0.539683
| 0.069307
| 0.184818
| 0.20462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019337
| 0.288802
| 509
| 24
| 66
| 21.208333
| 0.81768
| 0.066798
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.0625
| 0.0625
| 0
| 0.75
| 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
|
ff30d1dab628c8c5b96d9eca99eb627866ec8321
| 2,657
|
py
|
Python
|
algo/test/plot_donut.py
|
allengrr/deadlock_project
|
933878077c45a7df04daa087407bb2620c064617
|
[
"MIT"
] | null | null | null |
algo/test/plot_donut.py
|
allengrr/deadlock_project
|
933878077c45a7df04daa087407bb2620c064617
|
[
"MIT"
] | null | null | null |
algo/test/plot_donut.py
|
allengrr/deadlock_project
|
933878077c45a7df04daa087407bb2620c064617
|
[
"MIT"
] | 1
|
2021-03-21T17:54:26.000Z
|
2021-03-21T17:54:26.000Z
|
import matplotlib.pyplot as plt
import numpy as np
import random as r
import time
from drawnow import *
recipe = ["225 g flour",
"90 g sugar",
"1 egg",
"60 g butter",
"100 ml milk",
"1/2 package of yeast",
"225 g flour",
"90 g sugar",
"1 egg",
"60 g butter",
"225 g flour",
"90 g sugar",
"1 egg",
"60 g butter",
"100 ml milk"]
data = [277, 250, 267, 213, 274, 297]#[225, 90, 50, 60, 100, 5]
def gen_rand():
global data
data=[]
for i in range(15):
data.append(r.randint(50,300))
def plotme():
print(data)
#plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
wedges, texts = plt.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
kw = dict(arrowprops=dict(arrowstyle="-"),
bbox=bbox_props, zorder=0, va="center")
for i, p in enumerate(wedges):
ang = (p.theta2 - p.theta1)/2. + p.theta1
y = np.sin(np.deg2rad(ang))
x = np.cos(np.deg2rad(ang))
horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
connectionstyle = "angle,angleA=0,angleB={}".format(ang)
kw["arrowprops"].update({"connectionstyle": connectionstyle})
plt.annotate(recipe[i], xy=(x, y), xytext=(np.sign(x),y),
horizontalalignment=horizontalalignment, **kw)
plt.title("Matplotlib bakery: A donut")
#plt.legend()
#plt.show()
def plotme_easy():
print(data)
#fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
wedges, texts = plt.pie(data, wedgeprops=dict(width=0.5), startangle=-40, labels=recipe)
#bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
#kw = dict(arrowprops=dict(arrowstyle="-"),
# bbox=bbox_props, zorder=0, va="center")
#for i, p in enumerate(wedges):
#ang = (p.theta2 - p.theta1)/2. + p.theta1
#y = np.sin(np.deg2rad(ang))
#x = np.cos(np.deg2rad(ang))
#horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
#connectionstyle = "angle,angleA=0,angleB={}".format(ang)
#kw["arrowprops"].update({"connectionstyle": connectionstyle})
#plt.annotate(recipe[i], xy=(x, y), xytext=(np.sign(x),y)
# horizontalalignment=horizontalalignment, **kw)
plt.title("Matplotlib bakery: A donut")
#plt.legend()
#plt.show()
def main():
while True:
gen_rand()
drawnow(plotme_easy)
time.sleep(1)
main()
| 29.853933
| 92
| 0.563794
| 361
| 2,657
| 4.121884
| 0.34072
| 0.016129
| 0.032258
| 0.022177
| 0.794355
| 0.794355
| 0.794355
| 0.794355
| 0.794355
| 0.794355
| 0
| 0.057477
| 0.260068
| 2,657
| 88
| 93
| 30.193182
| 0.69939
| 0.291306
| 0
| 0.288462
| 0
| 0
| 0.153433
| 0.012876
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.096154
| 0
| 0.173077
| 0.038462
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
|
ff3bd5f02c422ab51b25b8e4a18c57aafedacd50
| 318
|
py
|
Python
|
cacreader/swig-4.0.2/Examples/test-suite/python/return_const_value_runme.py
|
kyletanyag/LL-Smartcard
|
02abea9de5a13f8bae4d7832ab34cb7f0d9514c9
|
[
"BSD-3-Clause"
] | 1,031
|
2015-01-02T14:08:47.000Z
|
2022-03-29T02:25:27.000Z
|
cacreader/swig-4.0.2/Examples/test-suite/python/return_const_value_runme.py
|
kyletanyag/LL-Smartcard
|
02abea9de5a13f8bae4d7832ab34cb7f0d9514c9
|
[
"BSD-3-Clause"
] | 240
|
2015-01-11T04:27:19.000Z
|
2022-03-30T00:35:57.000Z
|
cacreader/swig-4.0.2/Examples/test-suite/python/return_const_value_runme.py
|
kyletanyag/LL-Smartcard
|
02abea9de5a13f8bae4d7832ab34cb7f0d9514c9
|
[
"BSD-3-Clause"
] | 224
|
2015-01-05T06:13:54.000Z
|
2022-02-25T14:39:51.000Z
|
import return_const_value
import sys
p = return_const_value.Foo_ptr_getPtr()
if (p.getVal() != 17):
print "Runtime test1 failed. p.getVal()=", p.getVal()
sys.exit(1)
p = return_const_value.Foo_ptr_getConstPtr()
if (p.getVal() != 17):
print "Runtime test2 failed. p.getVal()=", p.getVal()
sys.exit(1)
| 24.461538
| 57
| 0.679245
| 50
| 318
| 4.12
| 0.4
| 0.203884
| 0.23301
| 0.165049
| 0.718447
| 0.718447
| 0.271845
| 0.271845
| 0
| 0
| 0
| 0.029851
| 0.157233
| 318
| 12
| 58
| 26.5
| 0.738806
| 0
| 0
| 0.4
| 0
| 0
| 0.207547
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.2
| null | null | 0.2
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ff52fc989a6eac1fa873bb11a71cfde39833e8a2
| 12
|
py
|
Python
|
fast_test_tools/tools/fast_test_tools/dummy.py
|
CCMS-UCSD/ProteoSAFe_Workflow_Deployment
|
2ce1e68d0c153b76316ccd2b6956d1faa1ad6217
|
[
"CC0-1.0"
] | 1
|
2021-04-12T18:40:34.000Z
|
2021-04-12T18:40:34.000Z
|
fast_test_tools/tools/fast_test_tools/dummy.py
|
CCMS-UCSD/ProteoSAFe_Workflow_Deployment
|
2ce1e68d0c153b76316ccd2b6956d1faa1ad6217
|
[
"CC0-1.0"
] | 28
|
2019-09-05T20:41:22.000Z
|
2021-06-23T18:10:06.000Z
|
fast_test_tools/tools/fast_test_tools/dummy.py
|
CCMS-UCSD/CCMSDeployments
|
2ce1e68d0c153b76316ccd2b6956d1faa1ad6217
|
[
"CC0-1.0"
] | null | null | null |
print("RUN")
| 12
| 12
| 0.666667
| 2
| 12
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 12
| 1
| 12
| 12
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
44208376dcf911e5a12d996ba2b137f1d8573e56
| 1,029
|
py
|
Python
|
solutions/2019/prob_23.py
|
PolPtoAmo/HPCodeWarsBCN
|
8a98b1feb6d8b7d2d5b8b4dace3e02af9e6bb4e8
|
[
"MIT"
] | 1
|
2021-02-27T09:46:06.000Z
|
2021-02-27T09:46:06.000Z
|
solutions/2019/prob_23.py
|
PolPtoAmo/HPCodeWarsBCN
|
8a98b1feb6d8b7d2d5b8b4dace3e02af9e6bb4e8
|
[
"MIT"
] | null | null | null |
solutions/2019/prob_23.py
|
PolPtoAmo/HPCodeWarsBCN
|
8a98b1feb6d8b7d2d5b8b4dace3e02af9e6bb4e8
|
[
"MIT"
] | 1
|
2021-02-27T12:03:33.000Z
|
2021-02-27T12:03:33.000Z
|
n = int(input())
if n == 1:
print('x')
elif n % 2 == 0:
for x in range(n//2):
print(" " * x + "\\" + " " * 2*(n//2-(x+1)) + "/")
for x in range(n//2):
print(" " * (n//2-(x+1)) + "/" + " " * 2*x + "\\")
elif (n % 2) == 1:
for i in range(n//2):
print(" " * i + "\\" + " " * (2*(n//2-(i+1))+1) + "/")
print(" " * ((n//2)) + "X")
for i in range(n//2):
print(" " * (n//2-(i+1)) + "/" + " " * ((2*i)+1) + "\\")
rows_cols = int(input())
if rows_cols == 1:
print("X")
elif (rows_cols % 2) == 0:
for i in range(rows_cols//2):
print(" " * i + "\\" + " " * 2*(rows_cols//2-(i+1)) + "/")
for i in range(rows_cols//2):
print(" " * (rows_cols//2-(i+1)) + "/" + " " * 2*i + "\\")
elif (rows_cols % 2) == 1:
for i in range(rows_cols//2):
print(" " * i + "\\" + " " * (2*(rows_cols//2-(i+1))+1) + "/")
print(" " * ((rows_cols//2)) + "X")
for i in range(rows_cols//2):
print(" " * (rows_cols//2-(i+1)) + "/" + " " * ((2*i)+1) + "\\")
| 34.3
| 72
| 0.371234
| 161
| 1,029
| 2.291925
| 0.099379
| 0.281843
| 0.268293
| 0.178862
| 0.696477
| 0.655827
| 0.620596
| 0.414634
| 0.414634
| 0.411924
| 0
| 0.065934
| 0.292517
| 1,029
| 29
| 73
| 35.482759
| 0.440934
| 0
| 0
| 0.285714
| 0
| 0
| 0.044704
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
4452a66413efb4217e31d8c90c9de6fbd4d4c89d
| 312
|
py
|
Python
|
uks_app/views/__init__.py
|
matkovskim/uks-project
|
81c5c8a82341b6b33c5c1ac97f6b7ec757fd0bcd
|
[
"MIT"
] | 5
|
2020-02-12T14:32:45.000Z
|
2020-07-31T17:54:32.000Z
|
uks_app/views/__init__.py
|
matkovskim/uks-project
|
81c5c8a82341b6b33c5c1ac97f6b7ec757fd0bcd
|
[
"MIT"
] | 28
|
2020-01-29T11:20:09.000Z
|
2022-03-12T00:14:47.000Z
|
uks_app/views/__init__.py
|
matkovskim/uks-project
|
81c5c8a82341b6b33c5c1ac97f6b7ec757fd0bcd
|
[
"MIT"
] | 2
|
2020-07-03T10:14:52.000Z
|
2020-07-03T10:53:27.000Z
|
from .project_views import *
from .issue_views import *
from .subissue_views import *
from .label_views import *
from .views import *
from .search_views import *
from .code_change_views import *
from .comment_views import *
from .followers_views import *
from .users_views import *
from .milestone_views import *
| 28.363636
| 32
| 0.791667
| 44
| 312
| 5.363636
| 0.318182
| 0.512712
| 0.635593
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137821
| 312
| 11
| 33
| 28.363636
| 0.877323
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 0
|
0
| 5
|
44839c4a12c570578f131c60e323c676ac5c2122
| 106
|
py
|
Python
|
AD-HOC/2377.py
|
jeconiassantos/uriissues
|
f6c32f8632b9940a4886240ea5d22300922dc79a
|
[
"MIT"
] | null | null | null |
AD-HOC/2377.py
|
jeconiassantos/uriissues
|
f6c32f8632b9940a4886240ea5d22300922dc79a
|
[
"MIT"
] | null | null | null |
AD-HOC/2377.py
|
jeconiassantos/uriissues
|
f6c32f8632b9940a4886240ea5d22300922dc79a
|
[
"MIT"
] | null | null | null |
L, D = map(int, input().split(' '))
K, P = map(int, input().split(' '))
print((P * int(L / D)) + (L * K))
| 26.5
| 35
| 0.462264
| 19
| 106
| 2.578947
| 0.473684
| 0.081633
| 0.44898
| 0.653061
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198113
| 106
| 3
| 36
| 35.333333
| 0.576471
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.333333
| 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
|
92707e4cb09c76a75ab3bee79adfa1eb36f33d2f
| 88
|
py
|
Python
|
apps/auth/admin.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | 2
|
2020-06-16T01:52:47.000Z
|
2021-03-24T08:34:23.000Z
|
apps/auth/admin.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | 2
|
2020-02-12T03:09:54.000Z
|
2020-06-05T22:47:17.000Z
|
apps/auth/admin.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | null | null | null |
#coding=utf-8
#
# Created on May 19, 2014, by Junn
#
from django.contrib import admin
| 11
| 34
| 0.704545
| 15
| 88
| 4.133333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098592
| 0.193182
| 88
| 7
| 35
| 12.571429
| 0.774648
| 0.511364
| 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
|
92a35967cac1f0a3ab29137cc6737597fb713ea4
| 24
|
py
|
Python
|
contests_atcoder/abc171/abc171_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | null | null | null |
contests_atcoder/abc171/abc171_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | 1
|
2021-01-02T06:36:51.000Z
|
2021-01-02T06:36:51.000Z
|
contests_atcoder/abc171/abc171_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | null | null | null |
print("Aa"[input()>"Z"])
| 24
| 24
| 0.541667
| 4
| 24
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 24
| 1
| 24
| 24
| 0.541667
| 0
| 0
| 0
| 0
| 0
| 0.12
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
92a519191e0618b7f83b04f97f5817075734256a
| 74
|
py
|
Python
|
main.py
|
deshipu/ukeeb
|
323e2fcc10219366bdb5a442e088883bf8ac535a
|
[
"Apache-2.0"
] | 13
|
2020-10-06T23:08:19.000Z
|
2022-02-24T22:01:39.000Z
|
main.py
|
deshipu/ukeeb
|
323e2fcc10219366bdb5a442e088883bf8ac535a
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
deshipu/ukeeb
|
323e2fcc10219366bdb5a442e088883bf8ac535a
|
[
"Apache-2.0"
] | 1
|
2022-02-18T00:19:45.000Z
|
2022-02-18T00:19:45.000Z
|
import matrix
matrix.Keeb(matrix.MATRIX, matrix.COLS, matrix.ROWS).run()
| 18.5
| 58
| 0.77027
| 11
| 74
| 5.181818
| 0.545455
| 0.631579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081081
| 74
| 3
| 59
| 24.666667
| 0.838235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
|
2b7d8355ff25ce67c3a355e87ecd0694e1c8b715
| 85
|
py
|
Python
|
liquepy/exceptions.py
|
geosharma/liquepy
|
d567f6a7eb93eb76218f718375f2d34355d7edd4
|
[
"MIT"
] | 4
|
2020-04-12T14:49:24.000Z
|
2020-09-22T09:28:10.000Z
|
liquepy/exceptions.py
|
geosharma/liquepy
|
d567f6a7eb93eb76218f718375f2d34355d7edd4
|
[
"MIT"
] | null | null | null |
liquepy/exceptions.py
|
geosharma/liquepy
|
d567f6a7eb93eb76218f718375f2d34355d7edd4
|
[
"MIT"
] | 4
|
2019-11-02T02:11:34.000Z
|
2021-04-30T06:06:41.000Z
|
import warnings
def deprecation(message):
warnings.warn(message, stacklevel=3)
| 14.166667
| 40
| 0.764706
| 10
| 85
| 6.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013699
| 0.141176
| 85
| 5
| 41
| 17
| 0.876712
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2b964d2bf40376b581b67a54afc028334047090e
| 208
|
py
|
Python
|
setup.py
|
TobiPrae/operations_management_methods
|
8d056ad976e9c9c857f2c39a41a8a96aed7fac09
|
[
"MIT"
] | null | null | null |
setup.py
|
TobiPrae/operations_management_methods
|
8d056ad976e9c9c857f2c39a41a8a96aed7fac09
|
[
"MIT"
] | null | null | null |
setup.py
|
TobiPrae/operations_management_methods
|
8d056ad976e9c9c857f2c39a41a8a96aed7fac09
|
[
"MIT"
] | null | null | null |
from setuptools import setup
setup(name='operations_management_methods',
version='0.5',
description='Methods used for OM',
packages=['operations_management_methods'],
zip_safe=False)
| 26
| 49
| 0.716346
| 24
| 208
| 6
| 0.791667
| 0.277778
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011696
| 0.177885
| 208
| 7
| 50
| 29.714286
| 0.830409
| 0
| 0
| 0
| 0
| 0
| 0.384615
| 0.278846
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 0.166667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
2baee25a7f5c028d708fef78156c10de84a6fc56
| 10,990
|
py
|
Python
|
libtc/clients/tests/basetest.py
|
tobbez/libtc
|
c51cf2d28efa4fe3b398593a3990663f67cb617f
|
[
"MIT"
] | null | null | null |
libtc/clients/tests/basetest.py
|
tobbez/libtc
|
c51cf2d28efa4fe3b398593a3990663f67cb617f
|
[
"MIT"
] | null | null | null |
libtc/clients/tests/basetest.py
|
tobbez/libtc
|
c51cf2d28efa4fe3b398593a3990663f67cb617f
|
[
"MIT"
] | null | null | null |
import hashlib
import shutil
import tempfile
import time
from pathlib import Path
import pytest
from libtc import TorrentData, TorrentState, bdecode, bencode
@pytest.fixture
def testfiles():
with tempfile.TemporaryDirectory() as tmp_path:
tmp_path = Path(tmp_path)
testfiles = Path(__file__).parent / "testfiles"
shutil.copytree(testfiles, tmp_path / "testfiles")
yield tmp_path / "testfiles"
def test_test_connection(client):
assert client.test_connection()
def test_list(client):
assert client.list() == []
def verify_torrent_state(client, states, do_not_fail=False):
hard_states = set(["infohash", "name", "data_location",])
for _ in range(50):
found_invalid_state = False
time.sleep(0.1)
torrent_list = client.list()
if len(torrent_list) != len(states):
continue
for td, state in zip(torrent_list, states):
assert isinstance(td, TorrentData)
for k, v in state.items():
td_v = getattr(td, k)
if v != td_v:
print(f"Invalid state {k} is {td_v} should be {v}")
if k in hard_states:
assert v == td_v
else:
print(f"Invalid state {k} is {td_v} should be {v}")
found_invalid_state = True
break
if not found_invalid_state:
return
else:
if not do_not_fail:
pytest.fail("Torrent states was never correctly added")
def test_add_torrent_multifile(client, testfiles):
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "Some-Release",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
assert client.get_download_path(infohash) == testfiles / "Some-Release"
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "Some-Release").exists()
def test_add_torrent_singlefile(client, testfiles):
torrent = testfiles / "test_single.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "file_a.txt",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
assert client.get_download_path(infohash) == testfiles
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "file_a.txt").exists()
def test_add_torrent_multifile_no_add_name_to_folder(client, testfiles):
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(
torrent_data,
testfiles / "Some-Release",
fast_resume=False,
add_name_to_folder=False,
)
verify_torrent_state(
client,
[{"infohash": infohash, "state": TorrentState.ACTIVE, "progress": 100.0}],
)
assert client.get_download_path(infohash) == testfiles / "Some-Release"
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "Some-Release").exists()
def test_add_torrent_multifile_no_add_name_to_folder_different_name(client, testfiles):
new_path = Path(testfiles) / "New-Some-Release"
(testfiles / "Some-Release").rename(new_path)
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(
torrent_data,
new_path,
fast_resume=False,
add_name_to_folder=False,
minimum_expected_data="full",
)
verify_torrent_state(
client,
[{"infohash": infohash, "state": TorrentState.ACTIVE, "progress": 100.0}],
)
assert client.get_download_path(infohash) == testfiles / "New-Some-Release"
client.remove(infohash)
verify_torrent_state(client, [])
assert (Path(testfiles) / "New-Some-Release").exists()
def test_add_torrent_singlefile_no_add_name_to_folder(client, testfiles):
torrent = testfiles / "test_single.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False, add_name_to_folder=False)
verify_torrent_state(
client,
[{"infohash": infohash, "state": TorrentState.ACTIVE, "progress": 100.0}],
)
assert client.get_download_path(infohash) == testfiles
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "file_a.txt").exists()
def test_add_torrent_singlefile_no_data(client, testfiles, tmp_path):
torrent = testfiles / "test_single.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, tmp_path, fast_resume=False, add_name_to_folder=False)
verify_torrent_state(
client, [{"infohash": infohash, "state": TorrentState.ACTIVE, "progress": 0.0,}]
)
assert client.get_download_path(infohash) == Path(tmp_path)
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "file_a.txt").exists()
def test_retrieve_torrent(client, testfiles):
torrent = testfiles / "test_single.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
verify_torrent_state(client, [{"infohash": infohash,}])
retrieved_torrent_data = bdecode(client.retrieve_torrentfile(infohash))
assert (
hashlib.sha1(bencode(retrieved_torrent_data[b"info"])).hexdigest() == infohash
)
client.remove(infohash)
def test_add_torrent_multifile_stopped(client, testfiles):
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False, stopped=True)
verify_torrent_state(
client,
[{"infohash": infohash, "name": "Some-Release", "progress": 100.0,}],
do_not_fail=True,
)
verify_torrent_state(
client, [{"infohash": infohash, "state": TorrentState.STOPPED,}],
)
client.start(infohash)
verify_torrent_state(
client, [{"infohash": infohash, "state": TorrentState.ACTIVE,}],
)
assert client.get_download_path(infohash) == testfiles / "Some-Release"
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "Some-Release").exists()
def test_start_stop(client, testfiles):
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
time.sleep(2) # Weird bug with Deluge
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "Some-Release",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
client.stop(infohash)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "Some-Release",
"state": TorrentState.STOPPED,
"progress": 100.0,
}
],
)
client.start(infohash)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "Some-Release",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "Some-Release").exists()
def test_get_files_multifile(client, testfiles):
torrent = testfiles / "Some-Release.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "Some-Release",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
assert client.get_download_path(infohash) == testfiles / "Some-Release"
files = sorted(client.get_files(infohash), key=lambda x: x.path)
expected_filenames = sorted(
[
"Sample/some-rls.mkv",
"Subs/some-subs.rar",
"Subs/some-subs.sfv",
"some-rls.nfo",
"some-rls.r00",
"some-rls.r01",
"some-rls.r02",
"some-rls.r03",
"some-rls.r04",
"some-rls.r05",
"some-rls.r06",
"some-rls.rar",
"some-rls.sfv",
]
)
assert len(files) == len(expected_filenames)
for f, name in zip(files, expected_filenames):
assert f.path == name
assert f.progress == 100.0
assert f.size == 12
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "Some-Release").exists()
def test_get_files_singlefile(client, testfiles):
torrent = testfiles / "test_single.torrent"
torrent_data = bdecode(torrent.read_bytes())
infohash = hashlib.sha1(bencode(torrent_data[b"info"])).hexdigest()
client.add(torrent_data, testfiles, fast_resume=False)
verify_torrent_state(
client,
[
{
"infohash": infohash,
"name": "file_a.txt",
"state": TorrentState.ACTIVE,
"progress": 100.0,
}
],
)
assert client.get_download_path(infohash) == testfiles
files = sorted(client.get_files(infohash), key=lambda x: x.path)
expected_filenames = sorted(["file_a.txt",])
assert len(files) == len(expected_filenames)
for f, name in zip(files, expected_filenames):
assert f.path == name
assert f.progress == 100.0
assert f.size == 11
client.remove(infohash)
verify_torrent_state(client, [])
assert (testfiles / "file_a.txt").exists()
| 30.612813
| 88
| 0.616924
| 1,201
| 10,990
| 5.430475
| 0.117402
| 0.059031
| 0.071757
| 0.095676
| 0.790708
| 0.773689
| 0.773689
| 0.765103
| 0.749617
| 0.717725
| 0
| 0.010962
| 0.261237
| 10,990
| 358
| 89
| 30.698324
| 0.792339
| 0.001911
| 0
| 0.552901
| 0
| 0
| 0.114069
| 0
| 0
| 0
| 0
| 0
| 0.109215
| 1
| 0.051195
| false
| 0
| 0.023891
| 0
| 0.078498
| 0.006826
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2bb327599035526f681e050a45979b7ce9e9c2f0
| 2,613
|
py
|
Python
|
movimento/tests.py
|
pontual/sistema-v1
|
5f63d11083077035326787a56c3ae8b66ee2054c
|
[
"MIT"
] | 1
|
2020-11-24T19:18:33.000Z
|
2020-11-24T19:18:33.000Z
|
movimento/tests.py
|
pontual/sistema-v1
|
5f63d11083077035326787a56c3ae8b66ee2054c
|
[
"MIT"
] | null | null | null |
movimento/tests.py
|
pontual/sistema-v1
|
5f63d11083077035326787a56c3ae8b66ee2054c
|
[
"MIT"
] | null | null | null |
from django.test import TestCase
from registros.models import Empresa, Produto, Moeda, Configuracao
from .models import Transacao, ItemDeLinha
class ProdutoTests(TestCase):
@classmethod
def setUpTestData(cls):
cls.pontual = Empresa.objects.create(nome="Pontual")
cls.cctc = Empresa.objects.create(nome="CCTC")
cls.cliente = Empresa.objects.create(nome="Cliente")
cls.produto_1 = Produto.objects.create(codigo="1", nome="Produto 1", por_caixa=100)
cls.produto_2 = Produto.objects.create(codigo="2", nome="Produto 2", por_caixa=200)
cls.moeda = Moeda.objects.create(nome="Real", codigo="BRL")
cls.conf = Configuracao.objects.create(empresa_ativa=cls.pontual)
def testEstoqueCompra(self):
compra = Transacao.objects.create(vendedor=self.cctc, comprador=self.pontual, moeda=self.moeda)
itemCompra = ItemDeLinha.objects.create(transacao=compra, qtde=10000, produto=self.produto_1, preco_unitario=1)
self.assertEquals(self.produto_1.estoque(), 10000)
def testEstoqueVenda(self):
compra = Transacao.objects.create(vendedor=self.cctc, comprador=self.pontual, moeda=self.moeda)
itemCompra = ItemDeLinha.objects.create(transacao=compra, qtde=200, produto=self.produto_1, preco_unitario=1)
venda = Transacao.objects.create(vendedor=self.pontual, comprador=self.cliente, moeda=self.moeda)
itemVenda = ItemDeLinha.objects.create(transacao=venda, qtde=50, produto=self.produto_1, preco_unitario=1)
self.assertEquals(self.produto_1.estoque(), 150)
class TransacaoTests(TestCase):
@classmethod
def setUpTestData(cls):
cls.pontual = Empresa.objects.create(nome="Pontual")
cls.cctc = Empresa.objects.create(nome="CCTC")
cls.cliente = Empresa.objects.create(nome="Cliente")
cls.produto_1 = Produto.objects.create(codigo="1", nome="Produto 1", por_caixa=100)
cls.produto_2 = Produto.objects.create(codigo="2", nome="Produto 2", por_caixa=200)
cls.moeda = Moeda.objects.create(nome="Real", codigo="BRL")
cls.conf = Configuracao.objects.create(empresa_ativa=cls.pontual)
def testTransacaoTotal(self):
compra = Transacao.objects.create(vendedor=self.cctc, comprador=self.pontual, moeda=self.moeda)
itemCompra_1 = ItemDeLinha.objects.create(transacao=compra, qtde=200, produto=self.produto_1, preco_unitario=10)
itemCompra_2 = ItemDeLinha.objects.create(transacao=compra, qtde=100, produto=self.produto_2, preco_unitario=30)
self.assertEquals(compra.total(), 5000)
| 44.288136
| 120
| 0.716035
| 323
| 2,613
| 5.718266
| 0.182663
| 0.161884
| 0.073633
| 0.077964
| 0.781267
| 0.762859
| 0.739578
| 0.739036
| 0.739036
| 0.739036
| 0
| 0.030951
| 0.159204
| 2,613
| 58
| 121
| 45.051724
| 0.809741
| 0
| 0
| 0.552632
| 0
| 0
| 0.034443
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 1
| 0.131579
| false
| 0
| 0.078947
| 0
| 0.263158
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2bb4bd02683ba6fae13666a16f9937b333aa96eb
| 338
|
py
|
Python
|
podoc/ast/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 54
|
2015-09-28T11:00:47.000Z
|
2021-11-10T13:38:56.000Z
|
podoc/ast/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 36
|
2015-09-14T15:50:44.000Z
|
2018-10-16T02:44:27.000Z
|
podoc/ast/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 9
|
2015-09-15T07:15:00.000Z
|
2018-05-29T02:11:38.000Z
|
# -*- coding: utf-8 -*-
# flake8: noqa
"""JSON plugin."""
#-------------------------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------------------------
from ._ast import ASTNode, ASTPlugin, PandocPlugin, ast_from_pandoc
| 28.166667
| 98
| 0.278107
| 17
| 338
| 5.352941
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00639
| 0.073965
| 338
| 11
| 99
| 30.727273
| 0.284345
| 0.739645
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2bd98a55c1d2bae9c8c0f549ecf381bbdf7f78b7
| 434
|
py
|
Python
|
torch_em/metric/__init__.py
|
JonasHell/torch-em
|
2e008e0cd2f0ea6681581374fce4f9f47b986d55
|
[
"MIT"
] | 13
|
2021-03-09T21:31:09.000Z
|
2022-03-21T05:24:26.000Z
|
torch_em/metric/__init__.py
|
JonasHell/torch-em
|
2e008e0cd2f0ea6681581374fce4f9f47b986d55
|
[
"MIT"
] | 16
|
2021-03-02T23:19:34.000Z
|
2022-03-25T19:43:41.000Z
|
torch_em/metric/__init__.py
|
JonasHell/torch-em
|
2e008e0cd2f0ea6681581374fce4f9f47b986d55
|
[
"MIT"
] | 4
|
2021-05-18T08:29:33.000Z
|
2022-02-11T12:16:20.000Z
|
from .instance_segmentation_metric import (EmbeddingMWSIOUMetric, EmbeddingMWSRandMetric, EmbeddingMWSSBDMetric, EmbeddingMWSVOIMetric,
HDBScanIOUMetric, HDBScanRandMetric, HDBScanSBDMetric, HDBScanVOIMetric,
MulticutRandMetric, MulticutVOIMetric,
MWSIOUMetric, MWSSBDMetric, MWSRandMetric, MWSVOIMetric)
| 86.8
| 135
| 0.626728
| 19
| 434
| 14.210526
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.336406
| 434
| 4
| 136
| 108.5
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
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