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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
97fae8fbd655a4d36aaf8dc112ef517f4274a3a5
| 101
|
py
|
Python
|
codingchallenges/calculate_tip.py
|
joesmall37/Algorithms
|
ae14e48a9a05558da81da01c5061db265f09e2e4
|
[
"MIT"
] | null | null | null |
codingchallenges/calculate_tip.py
|
joesmall37/Algorithms
|
ae14e48a9a05558da81da01c5061db265f09e2e4
|
[
"MIT"
] | null | null | null |
codingchallenges/calculate_tip.py
|
joesmall37/Algorithms
|
ae14e48a9a05558da81da01c5061db265f09e2e4
|
[
"MIT"
] | null | null | null |
def tip(total, percentage):
tip = (total * percentage) / 100
return tip
print(tip(24, 13))
| 14.428571
| 36
| 0.623762
| 14
| 101
| 4.5
| 0.642857
| 0.253968
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0.237624
| 101
| 6
| 37
| 16.833333
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0.25
| 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
|
3f0ac37ee9db507e35daabce30828e449e4ea118
| 204
|
py
|
Python
|
core/apps.py
|
Mozirra/mtghelper
|
57ccc201e385edc2166cfe9746b47f1b224359e9
|
[
"MIT"
] | null | null | null |
core/apps.py
|
Mozirra/mtghelper
|
57ccc201e385edc2166cfe9746b47f1b224359e9
|
[
"MIT"
] | null | null | null |
core/apps.py
|
Mozirra/mtghelper
|
57ccc201e385edc2166cfe9746b47f1b224359e9
|
[
"MIT"
] | null | null | null |
"""The "Core" application configuration of the MTG Helper."""
from django.apps import AppConfig
class CoreConfig(AppConfig):
"""The core application configuration."""
name = 'core'
| 18.545455
| 62
| 0.671569
| 22
| 204
| 6.227273
| 0.681818
| 0.10219
| 0.262774
| 0.452555
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.215686
| 204
| 10
| 63
| 20.4
| 0.85625
| 0.446078
| 0
| 0
| 0
| 0
| 0.043478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3f3e8bf6ad187b2c74315411a514724f9df866ee
| 57
|
py
|
Python
|
pstd/exceptions.py
|
Performance-Analytics/pstd
|
84d23d5478bd4072322e5cb13e8266d7b5a898ca
|
[
"MIT"
] | null | null | null |
pstd/exceptions.py
|
Performance-Analytics/pstd
|
84d23d5478bd4072322e5cb13e8266d7b5a898ca
|
[
"MIT"
] | 4
|
2019-01-04T05:34:13.000Z
|
2019-01-07T14:43:06.000Z
|
pstd/exceptions.py
|
Performance-Analytics/pstd
|
84d23d5478bd4072322e5cb13e8266d7b5a898ca
|
[
"MIT"
] | null | null | null |
class InvalidFatigueRatingException(Exception):
pass
| 19
| 47
| 0.824561
| 4
| 57
| 11.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122807
| 57
| 2
| 48
| 28.5
| 0.94
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
58b0df033c0a79540af0355329232bf1bfa4894f
| 52
|
py
|
Python
|
sggm/analysis/uci/__init__.py
|
pierresegonne/SGGM
|
46663a722384b4ee2b3358261d6eb626a16ca51a
|
[
"Apache-2.0"
] | 4
|
2020-10-27T13:56:54.000Z
|
2021-05-23T19:16:15.000Z
|
sggm/analysis/uci/__init__.py
|
pierresegonne/SGGM
|
46663a722384b4ee2b3358261d6eb626a16ca51a
|
[
"Apache-2.0"
] | 16
|
2021-03-29T09:59:56.000Z
|
2022-03-12T01:00:38.000Z
|
sggm/analysis/uci/__init__.py
|
pierresegonne/SGGM
|
46663a722384b4ee2b3358261d6eb626a16ca51a
|
[
"Apache-2.0"
] | null | null | null |
from sggm.analysis.uci.main import plot as uci_plot
| 26
| 51
| 0.826923
| 10
| 52
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 52
| 1
| 52
| 52
| 0.913043
| 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
|
58e05ca0efc17357f0c8bdc4a06b82dbd7692bb1
| 8,040
|
py
|
Python
|
data/train/python/58e05ca0efc17357f0c8bdc4a06b82dbd7692bb1routing.py
|
harshp8l/deep-learning-lang-detection
|
2a54293181c1c2b1a2b840ddee4d4d80177efb33
|
[
"MIT"
] | 84
|
2017-10-25T15:49:21.000Z
|
2021-11-28T21:25:54.000Z
|
data/train/python/58e05ca0efc17357f0c8bdc4a06b82dbd7692bb1routing.py
|
vassalos/deep-learning-lang-detection
|
cbb00b3e81bed3a64553f9c6aa6138b2511e544e
|
[
"MIT"
] | 5
|
2018-03-29T11:50:46.000Z
|
2021-04-26T13:33:18.000Z
|
data/train/python/58e05ca0efc17357f0c8bdc4a06b82dbd7692bb1routing.py
|
vassalos/deep-learning-lang-detection
|
cbb00b3e81bed3a64553f9c6aa6138b2511e544e
|
[
"MIT"
] | 24
|
2017-11-22T08:31:00.000Z
|
2022-03-27T01:22:31.000Z
|
"""Routes configuration
The more specific and detailed routes should be defined first so they
may take precedent over the more generic routes. For more information
refer to the routes manual at http://routes.groovie.org/docs/
"""
from routes import Mapper
def make_map(config):
"""Create, configure and return the routes Mapper"""
map = Mapper(directory=config['pylons.paths']['controllers'],
always_scan=config['debug'])
map.minimization = False
map.explicit = False
# The ErrorController route (handles 404/500 error pages); it should
# likely stay at the top, ensuring it can always be resolved
map.connect('/error/{action}', controller='error')
map.connect('/error/{action}/{id}', controller='error')
# CUSTOM ROUTES HERE
map.connect(None, '/', controller='user_overview', action='index')
map.connect(None, '/user', controller='user_overview', action='index')
map.connect(None, '/user/', controller='user_overview', action='index')
map.connect(None, '/user/overview', controller='user_overview')
map.connect(None, '/user/overview/', controller='user_overview')
map.connect(None, '/user/overview/{action}', controller='user_overview', action='index')
map.connect(None, '/user/vos', controller='user_vos', action='index')
map.connect(None, '/user/clusters', controller='user_clusters', action='index')
map.connect(None, '/user/clusters/', controller='user_clusters', action='index')
map.connect(None, '/user/clusters/{action}', controller='user_clusters', )
map.connect(None, '/user/clusters/{action}/{id}', controller='user_clusters')
map.connect(None, '/user/clusters/{action}/{id}/{queue}', controller='user_clusters')
map.connect(None, '/user/jobs', controller='user_jobs')
map.connect(None, '/user/jobs/', controller='user_jobs')
map.connect(None, '/user/jobs/{action}', controller='user_jobs')
map.connect(None, '/user/jobs/{action}/{status}', controller='user_jobs')
map.connect(None, '/user/jobdetails/{dn}/{jobid}',controller='user_job_details')
map.connect(None, '/user/statistics', controller='user_statistics')
map.connect(None, '/user/statistics/', controller='user_statistics')
map.connect(None, '/user/statistics/{action}', controller='user_statistics')
map.connect(None, '/user/tickets', controller='user_tickets')
map.connect(None, '/user/tickets/', controller='user_tickets')
map.connect(None, '/user/links', controller='user_links')
map.connect(None, '/user/links/', controller='user_links')
# site admin
map.connect(None, '/siteadmin', controller='siteadmin_overview', action='index')
map.connect(None, '/siteadmin/', controller='siteadmin_overview', action='index')
map.connect(None, '/siteadmin/overview', controller='siteadmin_overview')
map.connect(None, '/siteadmin/overview/', controller='siteadmin_overview')
map.connect(None, '/siteadmin/overview/{action}', controller='siteadmin_overview')
map.connect(None, '/siteadmin/clusters', controller='siteadmin_clusters', action='index')
map.connect(None, '/siteadmin/clusters/', controller='siteadmin_clusters', action='index')
map.connect(None, '/siteadmin/clusters/{action}', controller='siteadmin_clusters', )
map.connect(None, '/siteadmin/clusters/{action}/{id}', controller='siteadmin_clusters')
map.connect(None, '/siteadmin/clusters/{action}/{id}/{queue}', controller='siteadmin_clusters')
map.connect(None, '/siteadmin/jobs', controller='siteadmin_jobs')
map.connect(None, '/siteadmin/jobs/', controller='siteadmin_jobs')
map.connect(None, '/siteadmin/jobs/{action}', controller='siteadmin_jobs')
map.connect(None, '/siteadmin/users', controller='siteadmin_users')
map.connect(None, '/siteadmin/testjobs', controller='siteadmin_testjobs')
map.connect(None, '/siteadmin/testjobs/', controller='siteadmin_testjobs')
map.connect(None, '/siteadmin/testjobs/{action}', controller='siteadmin_testjobs')
map.connect(None, '/siteadmin/testjobs/{action}/{suit}', controller='siteadmin_testjobs')
map.connect(None, '/siteadmin/statistics', controller='siteadmin_statistics')
map.connect(None, '/siteadmin/statistics/', controller='siteadmin_statistics')
# grid admin
map.connect(None, '/gridadmin',controller='gridadmin_overview')
map.connect(None, '/gridadmin/',controller='gridadmin_overview')
map.connect(None, '/gridadmin/overview', controller='gridadmin_overview')
map.connect(None, '/gridadmin/overview/', controller='gridadmin_overview')
map.connect(None, '/gridadmin/overview/{action}', controller='gridadmin_overview')
map.connect(None, '/gridadmin/clusters', controller='gridadmin_clusters')
map.connect(None, '/gridadmin/clusters/', controller='gridadmin_clusters')
map.connect(None, '/gridadmin/clusters/{action}', controller='gridadmin_clusters')
map.connect(None, '/gridadmin/clusters/{action}/{id}', controller='gridadmin_clusters')
map.connect(None, '/gridadmin/clusters/{action}/{id}/{queue}', controller='gridadmin_clusters')
map.connect(None, '/gridadmin/sfts', controller='gridadmin_sfts')
map.connect(None, '/gridadmin/sfts/', controller='gridadmin_sfts')
map.connect(None, '/gridadmin/sfts/{action}', controller='gridadmin_sfts')
map.connect(None, '/gridadmin/sfts/{action}/{name}', controller='gridadmin_sfts')
map.connect(None, '/gridadmin/sfts/{action}/{name}/{cluster_name}', controller='gridadmin_sfts')
map.connect(None, '/gridadmin/statistics', controller='gridadmin_statistics')
map.connect(None, '/gridadmin/statistics/', controller='gridadmin_statistics')
map.connect(None, '/gridadmin/statistics/{action}', controller='gridadmin_statistics')
map.connect(None, '/gridadmin/statistics/{action}/{ctype}', controller='gridadmin_statistics')
map.connect(None, '/gridadmin/infosys', controller='gridadmin_infosys')
map.connect(None, '/gridadmin/infosys/', controller='gridadmin_infosys')
map.connect(None, '/gridadmin/infosys/{action}', controller='gridadmin_infosys')
map.connect(None, '/gridadmin/infosys/{action}/{arg}', controller='gridadmin_infosys')
#map.connect(None, '/gridadmin/plot/{action}/{type}/{name}', controller='gridadmin_plot')
# administrator interface for GridMonitor
map.connect(None, '/monadmin',controller='monadmin')
map.connect(None, '/monadmin/',controller='monadmin')
map.connect(None, '/monadmin/acl/', controller='monadmin_acl')
map.connect(None, '/monadmin/acl', controller='monadmin_acl')
map.connect(None, '/monadmin/acl/{action}', controller='monadmin_acl')
map.connect(None, '/monadmin/acl/{action}/{id}', controller='monadmin_acl')
map.connect(None, '/monadmin/sft', controller='monadmin_sft')
map.connect(None, '/monadmin/sft/', controller='monadmin_sft')
map.connect(None, '/monadmin/sft/{action}', controller='monadmin_sft')
map.connect(None, '/monadmin/sft/{action}/{id}', controller='monadmin_sft')
#json interfaces
map.connect(None, '/json/cluster/{action}', controller='cluster')
map.connect(None, '/json/cluster/{action}/{hostname}', controller='cluster')
map.connect(None, '/json/cluster/{action}/{hostname}/{tag}', controller='cluster')
map.connect(None, '/json/grid/{action}', controller='grid')
map.connect(None, '/json/jobs/{action}', controller='jobs')
map.connect(None, '/json/jobs/{action}/{arg1}', controller='jobs')
map.connect(None, '/json/jobs/{action}/{arg1}/{arg2}', controller='jobs')
map.connect(None, '/json/statistics/{action}', controller='statistics')
# help
map.connect(None,'/help', controller='help')
# public part of monitor (non AAI protected) -> can be used as widget in other web-pages
map.connect(None,'/public', controller='public_summary')
map.connect(None,'/public/{action}', controller='public_summary')
map.connect(None,'/public/{action}/{ce}', controller='public_summary')
return map
| 60.909091
| 100
| 0.712438
| 922
| 8,040
| 6.12256
| 0.139913
| 0.162976
| 0.223206
| 0.097786
| 0.810452
| 0.807795
| 0.783348
| 0.719221
| 0.663419
| 0.548804
| 0
| 0.001256
| 0.108706
| 8,040
| 131
| 101
| 61.374046
| 0.786492
| 0.083955
| 0
| 0
| 0
| 0
| 0.437909
| 0.156727
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010204
| false
| 0
| 0.010204
| 0
| 0.030612
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 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
| 0
| 0
|
0
| 5
|
45119ca0f1d3918f25257694252216ec2bc7a485
| 131
|
py
|
Python
|
Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/equationclass.py
|
GeorgiyDemo/FA
|
641a29d088904302f5f2164c9b3e1f1c813849ec
|
[
"WTFPL"
] | 27
|
2019-08-18T20:54:27.000Z
|
2022-02-22T02:39:45.000Z
|
Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/equationclass.py
|
GeorgiyDemo/FA
|
641a29d088904302f5f2164c9b3e1f1c813849ec
|
[
"WTFPL"
] | 217
|
2019-09-22T14:43:25.000Z
|
2022-03-30T13:49:18.000Z
|
Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/equationclass.py
|
GeorgiyDemo/FA
|
641a29d088904302f5f2164c9b3e1f1c813849ec
|
[
"WTFPL"
] | 42
|
2019-09-18T11:36:28.000Z
|
2022-03-19T18:43:00.000Z
|
class EquationClass:
def __init__(self):
pass
def calculation(self):
...
def info(self):
...
| 13.1
| 26
| 0.503817
| 12
| 131
| 5.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.374046
| 131
| 9
| 27
| 14.555556
| 0.756098
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0.142857
| 0
| 0
| 0.571429
| 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
|
45168473e27d5b66a90dbf6afff7931a82715552
| 218
|
py
|
Python
|
pconsole/file.py
|
l3alr0g/Pconsole
|
657ead3e2060d74830c04aae33ce5498cf7b672f
|
[
"MIT"
] | 4
|
2020-07-02T14:09:17.000Z
|
2021-11-29T20:13:49.000Z
|
pconsole/file.py
|
l3alr0g/Pconsole
|
657ead3e2060d74830c04aae33ce5498cf7b672f
|
[
"MIT"
] | null | null | null |
pconsole/file.py
|
l3alr0g/Pconsole
|
657ead3e2060d74830c04aae33ce5498cf7b672f
|
[
"MIT"
] | null | null | null |
class BufferFile:
def __init__(self, write):
self.write = write
def readline(self): pass
def writelines(self, l): map(self.append, l)
def flush(self): pass
def isatty(self): return 1
| 21.8
| 48
| 0.623853
| 30
| 218
| 4.4
| 0.533333
| 0.136364
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00625
| 0.266055
| 218
| 9
| 49
| 24.222222
| 0.81875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.714286
| false
| 0.285714
| 0
| 0.142857
| 0.857143
| 0
| 0
| 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
| 1
| 1
| 0
|
0
| 5
|
45222f77388e2f5ab33d2942aa25ba46e136e6ef
| 56
|
py
|
Python
|
smartresponder/__init__.py
|
valuerr/smartresponder
|
ca81453fb4924477b75c0ec3c450378676a5ba4f
|
[
"MIT"
] | null | null | null |
smartresponder/__init__.py
|
valuerr/smartresponder
|
ca81453fb4924477b75c0ec3c450378676a5ba4f
|
[
"MIT"
] | null | null | null |
smartresponder/__init__.py
|
valuerr/smartresponder
|
ca81453fb4924477b75c0ec3c450378676a5ba4f
|
[
"MIT"
] | null | null | null |
from smartresponder.api import API, SMRError, signature
| 28
| 55
| 0.839286
| 7
| 56
| 6.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 56
| 1
| 56
| 56
| 0.94
| 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
|
189e0da0a6242144f505a4843ca609a0c8343fde
| 44
|
py
|
Python
|
password_cracker.py
|
Ben-Meyer21/fcc-brute-force-password-cracker
|
9950edfc46e0f7f62d2cb12bba4c133afc4a0341
|
[
"Apache-2.0"
] | null | null | null |
password_cracker.py
|
Ben-Meyer21/fcc-brute-force-password-cracker
|
9950edfc46e0f7f62d2cb12bba4c133afc4a0341
|
[
"Apache-2.0"
] | null | null | null |
password_cracker.py
|
Ben-Meyer21/fcc-brute-force-password-cracker
|
9950edfc46e0f7f62d2cb12bba4c133afc4a0341
|
[
"Apache-2.0"
] | 1
|
2021-01-02T14:11:53.000Z
|
2021-01-02T14:11:53.000Z
|
import hashlib
def crack_sha1_hash(hash):
| 8.8
| 26
| 0.795455
| 7
| 44
| 4.714286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026316
| 0.136364
| 44
| 4
| 27
| 11
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
18fa982ee58f43f52bfb750d17d4e4347b2795a3
| 185
|
py
|
Python
|
xixiang/__init__.py
|
LKI/xixiang
|
06ba8a03936b97cfa5e4872753e2a38a97becffb
|
[
"MIT"
] | 15
|
2018-03-15T10:21:10.000Z
|
2019-10-28T07:58:29.000Z
|
xixiang/__init__.py
|
LKI/xixiang
|
06ba8a03936b97cfa5e4872753e2a38a97becffb
|
[
"MIT"
] | 1
|
2019-11-14T06:44:02.000Z
|
2020-03-18T05:20:51.000Z
|
xixiang/__init__.py
|
LKI/xixiang
|
06ba8a03936b97cfa5e4872753e2a38a97becffb
|
[
"MIT"
] | null | null | null |
__author__ = "Lirian Su"
__version__ = "0.3.1"
from . import urls as urls # NOQA
from .exceptions import * # NOQA
from .models import * # NOQA
from .services import XiXiang # NOQA
| 23.125
| 37
| 0.697297
| 26
| 185
| 4.653846
| 0.615385
| 0.198347
| 0.231405
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0.205405
| 185
| 7
| 38
| 26.428571
| 0.802721
| 0.102703
| 0
| 0
| 0
| 0
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
e16ba15c0d1f7d13a74d165f64b73628ee238106
| 1,836
|
py
|
Python
|
experiments/torch3d/run_config.py
|
alexus37/MasterThesisCode
|
a7eada603686de75968acc8586fd307a91b0491b
|
[
"MIT"
] | 1
|
2020-04-23T15:39:27.000Z
|
2020-04-23T15:39:27.000Z
|
experiments/torch3d/run_config.py
|
alexus37/DeepExplain
|
a7eada603686de75968acc8586fd307a91b0491b
|
[
"MIT"
] | null | null | null |
experiments/torch3d/run_config.py
|
alexus37/DeepExplain
|
a7eada603686de75968acc8586fd307a91b0491b
|
[
"MIT"
] | null | null | null |
import enum
class OrderedEnum(enum.Enum):
def __ge__(self, other):
if self.__class__ is other.__class__:
return self.value >= other.value
return NotImplemented
def __gt__(self, other):
if self.__class__ is other.__class__:
return self.value > other.value
return NotImplemented
def __le__(self, other):
if self.__class__ is other.__class__:
return self.value <= other.value
return NotImplemented
def __lt__(self, other):
if self.__class__ is other.__class__:
return self.value < other.value
return NotImplemented
class Run_types(OrderedEnum):
all_heat_paf_l2_loss = 0
all_heat_paf_l2_reg_loss = 1
all_heat_paf_kl_loss = 2
class Run_settings():
def __init__(self, run_type=Run_types.all_heat_paf_l2_loss):
self.run_type = run_type
def get_settings(self):
snapshot_name = ''
train_dir = ''
test_dir = ''
if self.run_type == Run_types.all_heat_paf_l2_loss:
snapshot_name = f'../snapshots/vertex_color_bg_tshirt_torch.npy'
train_dir = '../data/tshirt_torch/train'
test_dir = '../data/tshirt_torch/test'
if self.run_type == Run_types.all_heat_paf_l2_reg_loss:
snapshot_name = f'../snapshots/vertex_color_bg_lp_tshirt_torch.npy'
train_dir = '../data/tshirt_torch/train'
test_dir = '../data/tshirt_torch/test'
if self.run_type == Run_types.all_heat_paf_kl_loss:
snapshot_name = f'../snapshots/vertex_color_bg_kl_tshirt_torch.npy'
train_dir = '../data/tshirt_torch/train'
test_dir = '../data/tshirt_torch/test'
return train_dir, test_dir, snapshot_name
| 36
| 79
| 0.626906
| 236
| 1,836
| 4.326271
| 0.199153
| 0.096964
| 0.06856
| 0.105779
| 0.809011
| 0.77571
| 0.754163
| 0.754163
| 0.643487
| 0.643487
| 0
| 0.006084
| 0.283769
| 1,836
| 51
| 80
| 36
| 0.770342
| 0
| 0
| 0.333333
| 0
| 0
| 0.160044
| 0.160044
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.02381
| 0
| 0.52381
| 0
| 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
|
e1c2c5f05ea932e083bd57041f2e20f2035c1101
| 559
|
py
|
Python
|
tests/utils.py
|
denizdogan/django-whiteless
|
7bb784015b4ea21d54223a08db55e681256b939c
|
[
"MIT"
] | 4
|
2020-03-20T11:47:27.000Z
|
2022-03-16T18:41:15.000Z
|
tests/utils.py
|
denizdogan/django-whiteless
|
7bb784015b4ea21d54223a08db55e681256b939c
|
[
"MIT"
] | 1
|
2021-04-27T15:25:51.000Z
|
2021-04-28T15:20:37.000Z
|
tests/utils.py
|
denizdogan/django-whiteless
|
7bb784015b4ea21d54223a08db55e681256b939c
|
[
"MIT"
] | null | null | null |
from hypothesis import given, strategies as st
given_double_whitespaces = given(st.from_regex(r"\s\s"))
given_leading_double_whitespaces = given(st.from_regex(r"^\s\s"))
given_leading_trailing_whitespaces = given(st.from_regex(r"^\s\S+\s$"))
given_leading_whitespaces = given(st.from_regex(r"^\s+\S+"))
given_no_whitespace = given(st.from_regex(r"^\S+$", fullmatch=True))
given_only_whitespaces = given(st.from_regex(r"^\s+$", fullmatch=True))
given_some_whitespace = given(st.from_regex(r"\s"))
given_trailing_whitespaces = given(st.from_regex(r"\S+\s+$"))
| 50.818182
| 71
| 0.762075
| 91
| 559
| 4.395604
| 0.21978
| 0.14
| 0.22
| 0.32
| 0.82
| 0.82
| 0.82
| 0.6975
| 0.6975
| 0.24
| 0
| 0
| 0.060823
| 559
| 10
| 72
| 55.9
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0.078712
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 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
| 0
| 0
|
0
| 5
|
831cfc1e84651470a5b678f107fb1f4100c35bfe
| 316
|
py
|
Python
|
astrosource/__init__.py
|
zemogle/autovar
|
d495a336c0559097f566c2ce3f6136645f29ed62
|
[
"MIT"
] | 1
|
2019-01-28T13:35:39.000Z
|
2019-01-28T13:35:39.000Z
|
astrosource/__init__.py
|
zemogle/astrosource
|
d495a336c0559097f566c2ce3f6136645f29ed62
|
[
"MIT"
] | 14
|
2019-10-28T13:09:32.000Z
|
2022-02-10T22:43:03.000Z
|
astrosource/__init__.py
|
zemogle/autovar
|
d495a336c0559097f566c2ce3f6136645f29ed62
|
[
"MIT"
] | 3
|
2019-09-27T11:16:14.000Z
|
2021-02-07T23:10:19.000Z
|
import warnings
warnings.simplefilter('ignore')
from astrosource.analyse import *
from astrosource.comparison import *
from astrosource.detrend import *
from astrosource.eebls import *
from astrosource.identify import *
from astrosource.main import *
from astrosource.plots import *
from astrosource.utils import *
| 26.333333
| 36
| 0.81962
| 37
| 316
| 7
| 0.378378
| 0.46332
| 0.567568
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113924
| 316
| 11
| 37
| 28.727273
| 0.925
| 0
| 0
| 0
| 0
| 0
| 0.018987
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.9
| 0
| 0.9
| 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
|
833c1733e2044d13391e9021db65cad6aea8232f
| 23,660
|
py
|
Python
|
src/concurrency/_cssync_test.py
|
GStepien/CSToolkit
|
7a6872356f71843816a53c42b9abf5ae1ed97adf
|
[
"BSD-3-Clause"
] | null | null | null |
src/concurrency/_cssync_test.py
|
GStepien/CSToolkit
|
7a6872356f71843816a53c42b9abf5ae1ed97adf
|
[
"BSD-3-Clause"
] | null | null | null |
src/concurrency/_cssync_test.py
|
GStepien/CSToolkit
|
7a6872356f71843816a53c42b9abf5ae1ed97adf
|
[
"BSD-3-Clause"
] | null | null | null |
from typing import Optional, Callable
import multiprocessing.managers as mp_mngr
import pytest
from concurrency._fixtures import fix_cscondition_factory, fix_csl, fix_manager, fix_picklable_manager,\
fix_cslock_factory, fix_csrwlock_factory, fix_exec, fix_picklable_manager
from concurrency import cs, cslocks, cssync, execs, csrwlocks
import utils.functional.tools as ft
from utils.testing.testasserts import de_assert_duration
from concurrency import managers as mngr
def test_cscondition_parameters(fix_csl: cs.En.CSL,
fix_manager: Optional[mp_mngr.SyncManager],
fix_picklable_manager: Optional[mngr.Im.PicklableSyncManager],
fix_csrwlock_factory: Callable[[cs.En.CSL,
Optional[mp_mngr.SyncManager]],
csrwlocks.Pr.CSRWLock],
fix_cslock_factory: Callable[[cs.En.CSL,
Optional[mp_mngr.SyncManager]],
cslocks.Pr.CSLock],
fix_cscondition_factory: Callable[[cs.En.CSL,
Optional[cslocks.Pr.CSLock],
Optional[mngr.Im.PicklableSyncManager]],
cssync.Pr.CSCondition],
fix_exec: execs.Im.Exec) -> None:
with pytest.raises(ValueError):
fix_cscondition_factory(fix_csl,
fix_csrwlock_factory(fix_csl,
fix_manager).c_get_csrlock(),
fix_picklable_manager)
for lck in (None, fix_cslock_factory(fix_csl, fix_manager)):
cscondition: cssync.Pr.CSCondition = fix_cscondition_factory(fix_csl,
lck,
fix_picklable_manager)
ressource_lock: cslocks.Pr.CSLock = cscondition.c_get_resource_cslock()
if lck is not None:
assert lck is ressource_lock
# Calling without holding resource lock
with pytest.raises(ValueError):
cscondition.c_wait(blocking=False)
if fix_csl == cs.En.CSL.SINGLE_THREAD:
with ressource_lock:
with pytest.raises(RuntimeError):
cscondition.c_wait(blocking=True,
timeout=None)
else:
# Calling without holding resource lock
with pytest.raises(ValueError):
cscondition.c_wait()
# Calling without holding resource lock
with pytest.raises(ValueError):
cscondition.c_notify()
# Calling without holding resource lock
with pytest.raises(ValueError):
cscondition.c_notify_all()
# Calling without holding resource lock
with pytest.raises(ValueError):
cscondition.c_wait()
with ressource_lock:
cscondition.c_notify()
cscondition.c_notify_all()
assert not cscondition.c_wait(blocking=True,
timeout=2.0)
de_assert_duration(min_sec=2.0, max_sec=3.0)( # type: ignore
lambda: ft.c_poll_condition(condition_check=ft.c_eq,
params=((), {
'el_1': (cscondition,
cscondition.c_wait.__name__),
'params_1': (None, {'blocking': True, 'timeout': 2.0}),
'el_2': ft.c_identity,
'params_2': ((False,), None)}),
max_check_count=1))()
assert ressource_lock.c_is_held()
assert cscondition.c_get_num_waiting() == 0
if fix_csl > cs.En.CSL.SINGLE_THREAD:
# noinspection PyArgumentList
fix_exec.c_exec_multiple(csl=fix_csl,
join=False,
exec_params=(
# Waiter 1
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_wait.__name__),
params=(None, {'blocking': True,
'timeout': 6.0}),
join=False
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 1
})
}),
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_acquire.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
# Waiter 2
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_wait.__name__),
params=(None, {'blocking': True,
'timeout': 6.0}),
join=False
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 2
})
}),
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_acquire.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
# Waiter 3
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_wait.__name__),
params=(None, {'blocking': True,
'timeout': 6.0}),
join=False
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 3
})
}),
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_acquire.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
# Waiter 4
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_wait.__name__),
params=(None, {'blocking': True,
'timeout': 6.0}),
join=False
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 4
})
}),
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_acquire.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
# Notify n=2
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_notify.__name__),
params=(None, {"n": 2}),
join=True,
in_delay=2.0,
min_sec=2.0,
max_sec=3.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 2
})
}),
"max_check_count": 1
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_release.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": (ressource_lock,
ressource_lock.c_is_held.__name__),
"params": None,
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_release.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": (ressource_lock,
ressource_lock.c_is_held.__name__),
"params": None,
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
# Notify rest
execs.Im.ExecDelayedParams(
func_or_obj_func=(cscondition,
cscondition.c_notify_all.__name__),
params=None,
join=True,
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": ft.c_eq,
"params": (None, {
"el_1": (cscondition,
cscondition.c_get_num_waiting.__name__),
"el_2": ft.c_identity,
"params_2": (None, {
"el": 0
})
}),
"max_check_count": 1
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_release.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": (ressource_lock,
ressource_lock.c_is_held.__name__),
"params": None,
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(ressource_lock,
ressource_lock.c_release.__name__),
params=None,
join=True,
min_sec=0.0,
max_sec=1.0
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=(None, {
"condition_check": (ressource_lock,
ressource_lock.c_is_held.__name__),
"params": None,
"max_duration": 1.0
}),
join=True,
min_sec=0.0,
max_sec=1.0
),
),
manager=fix_manager,
_min_sec=2.0,
_max_sec=8.0),
fix_exec.c_join()
| 63.945946
| 108
| 0.254015
| 1,240
| 23,660
| 4.478226
| 0.091129
| 0.061228
| 0.103728
| 0.121016
| 0.776517
| 0.743022
| 0.700522
| 0.696741
| 0.681433
| 0.664506
| 0
| 0.021117
| 0.695773
| 23,660
| 369
| 109
| 64.119241
| 0.750347
| 0.012215
| 0
| 0.80531
| 0
| 0
| 0.023291
| 0
| 0
| 0
| 0
| 0
| 0.017699
| 1
| 0.00295
| false
| 0
| 0.023599
| 0
| 0.026549
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 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
|
833cce3dbfb811d44f9ab40437cbe60460a2fea9
| 146
|
py
|
Python
|
Introduction to Python/Introduction to Python Smallpiece 2018/Variables/Type conversion/type_cast.py
|
phamola/firstproject1
|
1e2aaafeb7abf9c82e4c823f197fc1fbefce6416
|
[
"Apache-2.0"
] | null | null | null |
Introduction to Python/Introduction to Python Smallpiece 2018/Variables/Type conversion/type_cast.py
|
phamola/firstproject1
|
1e2aaafeb7abf9c82e4c823f197fc1fbefce6416
|
[
"Apache-2.0"
] | null | null | null |
Introduction to Python/Introduction to Python Smallpiece 2018/Variables/Type conversion/type_cast.py
|
phamola/firstproject1
|
1e2aaafeb7abf9c82e4c823f197fc1fbefce6416
|
[
"Apache-2.0"
] | null | null | null |
number = 9
print(type(number)) # print type of variable "number"
float_number = 9.0
print(float_number)
print(Convert float_number to integer)
| 20.857143
| 55
| 0.760274
| 23
| 146
| 4.695652
| 0.478261
| 0.305556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024
| 0.143836
| 146
| 6
| 56
| 24.333333
| 0.84
| 0.212329
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.6
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
8363baee8af6a643e6a7e94081a157a7ea05d900
| 11,405
|
py
|
Python
|
tensorflow_model_analysis/addons/fairness/metrics/counterfactual_fairness/flip_count_test.py
|
jay90099/model-analysis
|
4389611ae476686d349bd6d16de39855d491cf0c
|
[
"Apache-2.0"
] | null | null | null |
tensorflow_model_analysis/addons/fairness/metrics/counterfactual_fairness/flip_count_test.py
|
jay90099/model-analysis
|
4389611ae476686d349bd6d16de39855d491cf0c
|
[
"Apache-2.0"
] | null | null | null |
tensorflow_model_analysis/addons/fairness/metrics/counterfactual_fairness/flip_count_test.py
|
jay90099/model-analysis
|
4389611ae476686d349bd6d16de39855d491cf0c
|
[
"Apache-2.0"
] | null | null | null |
# Lint as: python3
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://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.
"""Tests for flip count metric."""
import apache_beam as beam
from apache_beam.testing import util
import numpy as np
import tensorflow as tf
from tensorflow_model_analysis.addons.fairness.metrics.counterfactual_fairness import flip_count
from tensorflow_model_analysis.eval_saved_model import testutil
from tensorflow_model_analysis.metrics import metric_types
from tensorflow_model_analysis.metrics import metric_util
class FlipCountTest(testutil.TensorflowModelAnalysisTest):
def testFlipCount(self):
computations = flip_count.FlipCount(
thresholds=[0.3],
counterfactual_prediction_key='counterfactual_pred_key',
example_id_key='example_id_key').computations(example_weighted=True)
binary_confusion_matrix = computations[0]
matrices = computations[1]
metrics = computations[2]
# TODO(b/171180441): Handle absence of ground truth labels in counterfactual
# examples while computing flip count metrics.
examples = [
{
'labels': None,
'predictions': np.array([0.5]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.7]),
'example_id_key': np.array(['id_1']),
},
},
{
'labels': None,
'predictions': np.array([0.1, 0.7]), # to test flattening
'example_weights': np.array([3.0]),
'features': {
'counterfactual_pred_key': np.array([1.0, 0.1]),
'example_id_key': np.array(['id_2']),
},
},
{
'labels': None,
'predictions': np.array([0.5, 0.2]),
'example_weights': np.array([2.0]),
'features': {
'counterfactual_pred_key': np.array([0.2, 0.4]),
'example_id_key': np.array(['id_3']),
},
},
{
'labels': None,
'predictions': np.array([0.2, 0.1]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_4']),
},
}
]
with beam.Pipeline() as pipeline:
# pylint: disable=no-value-for-parameter
result = (
pipeline
| 'Create' >> beam.Create(examples)
| 'Process' >> beam.Map(metric_util.to_standard_metric_inputs, True)
| 'AddSlice' >> beam.Map(lambda x: ((), x))
| 'ComputeBinaryConfusionMatrix' >> beam.CombinePerKey(
binary_confusion_matrix.combiner)
| 'ComputeMatrices' >> beam.Map(
lambda x: (x[0], matrices.result(x[1]))) # pyformat: ignore
|
'ComputeMetrics' >> beam.Map(lambda x: (x[0], metrics.result(x[1]))))
# pylint: enable=no-value-for-parameter
def check_result(got):
try:
self.assertLen(got, 1)
got_slice_key, got_metrics = got[0]
self.assertEqual(got_slice_key, ())
self.assertLen(got_metrics, 6)
self.assertDictElementsAlmostEqual(
got_metrics, {
metric_types.MetricKey(
name='flip_count/positive_to_negative@0.3',
example_weighted=True):
5.0,
metric_types.MetricKey(
name='flip_count/negative_to_positive@0.3',
example_weighted=True):
7.0,
metric_types.MetricKey(
name='flip_count/positive_examples_count@0.3',
example_weighted=True):
6.0,
metric_types.MetricKey(
name='flip_count/negative_examples_count@0.3',
example_weighted=True):
7.0,
})
self.assertAllEqual(
got_metrics[metric_types.MetricKey(
name='flip_count/positive_to_negative_examples_ids@0.3',
example_weighted=True)], np.array([['id_2'], ['id_3']]))
self.assertAllEqual(
got_metrics[metric_types.MetricKey(
name='flip_count/negative_to_positive_examples_ids@0.3',
example_weighted=True)],
np.array([['id_2'], ['id_3'], ['id_4']]))
except AssertionError as err:
raise util.BeamAssertException(err)
util.assert_that(result, check_result, label='result')
def testFlipCount_cfPredictionKeyMissing_raiseValueError(self):
computations = flip_count.FlipCount(
thresholds=[0.3],
counterfactual_prediction_key='counterfactual_pred_key',
example_id_key='example_id_key').computations()
binary_confusion_matrix = computations[0]
matrices = computations[1]
metrics = computations[2]
examples = [{
'labels': None,
'predictions': np.array([0.5]),
'example_weights': np.array([1.0]),
'features': {
'example_id_key': np.array(['id_1']),
},
}, {
'labels': None,
'predictions': np.array([0.2, 0.1]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_4']),
},
}]
with self.assertRaises(ValueError):
with beam.Pipeline() as pipeline:
# pylint: disable=no-value-for-parameter
_ = (
pipeline
| 'Create' >> beam.Create(examples)
| 'Process' >> beam.Map(metric_util.to_standard_metric_inputs, True)
| 'AddSlice' >> beam.Map(lambda x: ((), x))
| 'ComputeBinaryConfusionMatrix' >> beam.CombinePerKey(
binary_confusion_matrix.combiner)
| 'ComputeMatrices' >> beam.Map(
lambda x: (x[0], matrices.result(x[1]))) # pyformat: ignore
| 'FlipCount' >> beam.Map(lambda x: (x[0], metrics.result(x[1]))))
def testFlipCount_cfPredictionValueNone_raiseValueError(self):
computations = flip_count.FlipCount(
thresholds=[0.3],
counterfactual_prediction_key='counterfactual_pred_key',
example_id_key='example_id_key').computations()
binary_confusion_matrix = computations[0]
matrices = computations[1]
metrics = computations[2]
examples = [{
'labels': None,
'predictions': np.array([0.5]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': None,
'example_id_key': np.array(['id_1']),
},
}, {
'labels': None,
'predictions': np.array([0.2, 0.1]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_4']),
},
}]
with self.assertRaises(ValueError):
with beam.Pipeline() as pipeline:
# pylint: disable=no-value-for-parameter
_ = (
pipeline
| 'Create' >> beam.Create(examples)
| 'Process' >> beam.Map(metric_util.to_standard_metric_inputs, True)
| 'AddSlice' >> beam.Map(lambda x: ((), x))
| 'ComputeBinaryConfusionMatrix' >> beam.CombinePerKey(
binary_confusion_matrix.combiner)
| 'ComputeMatrices' >> beam.Map(
lambda x: (x[0], matrices.result(x[1]))) # pyformat: ignore
| 'FlipCount' >> beam.Map(lambda x: (x[0], metrics.result(x[1]))))
def testFlipCount_predictionKeysSizeMisMatch_raiseValueError(self):
computations = flip_count.FlipCount(
thresholds=[0.3],
counterfactual_prediction_key='counterfactual_pred_key',
example_id_key='example_id_key').computations()
binary_confusion_matrix = computations[0]
matrices = computations[1]
metrics = computations[2]
examples = [{
'labels': None,
'predictions': np.array([0.5]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_1']),
},
}, {
'labels': None,
'predictions': np.array([0.2, 0.1]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_4']),
},
}]
with self.assertRaises(ValueError):
with beam.Pipeline() as pipeline:
# pylint: disable=no-value-for-parameter
_ = (
pipeline
| 'Create' >> beam.Create(examples)
| 'Process' >> beam.Map(metric_util.to_standard_metric_inputs, True)
| 'AddSlice' >> beam.Map(lambda x: ((), x))
| 'ComputeBinaryConfusionMatrix' >> beam.CombinePerKey(
binary_confusion_matrix.combiner)
| 'ComputeMatrices' >> beam.Map(
lambda x: (x[0], matrices.result(x[1]))) # pyformat: ignore
| 'FlipCount' >> beam.Map(lambda x: (x[0], metrics.result(x[1]))))
def testFlipCount_predictionIsEmpty_raiseValueError(self):
computations = flip_count.FlipCount(
thresholds=[0.3],
counterfactual_prediction_key='counterfactual_pred_key',
example_id_key='example_id_key').computations()
binary_confusion_matrix = computations[0]
matrices = computations[1]
metrics = computations[2]
examples = [{
'labels': None,
'predictions': np.array([]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_1']),
},
}, {
'labels': None,
'predictions': np.array([0.2, 0.1]),
'example_weights': np.array([1.0]),
'features': {
'counterfactual_pred_key': np.array([0.4, 0.5]),
'example_id_key': np.array(['id_4']),
},
}]
with self.assertRaises(ValueError):
with beam.Pipeline() as pipeline:
# pylint: disable=no-value-for-parameter
_ = (
pipeline
| 'Create' >> beam.Create(examples)
| 'Process' >> beam.Map(metric_util.to_standard_metric_inputs, True)
| 'AddSlice' >> beam.Map(lambda x: ((), x))
| 'ComputeBinaryConfusionMatrix' >> beam.CombinePerKey(
binary_confusion_matrix.combiner)
| 'ComputeMatrices' >> beam.Map(
lambda x: (x[0], matrices.result(x[1]))) # pyformat: ignore
| 'FlipCount' >> beam.Map(lambda x: (x[0], metrics.result(x[1]))))
if __name__ == '__main__':
tf.test.main()
| 38.661017
| 96
| 0.574748
| 1,228
| 11,405
| 5.140065
| 0.149837
| 0.053232
| 0.041825
| 0.03327
| 0.778517
| 0.774873
| 0.768219
| 0.7218
| 0.708967
| 0.698035
| 0
| 0.024772
| 0.288558
| 11,405
| 294
| 97
| 38.792517
| 0.753143
| 0.09224
| 0
| 0.699605
| 0
| 0
| 0.172481
| 0.072674
| 0
| 0
| 0
| 0.003401
| 0.051383
| 1
| 0.023715
| false
| 0
| 0.031621
| 0
| 0.059289
| 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
|
83673da9a8551b79cc128b35aa811ea6646f14b0
| 78
|
py
|
Python
|
electrum_gui/common/provider/chains/__init__.py
|
liyanhrxy/electrum
|
107608ef201ff1d20d2f6091c257b1ceff9b7362
|
[
"MIT"
] | 1
|
2020-07-10T12:35:25.000Z
|
2020-07-10T12:35:25.000Z
|
electrum_gui/common/provider/chains/__init__.py
|
liyanhrxy/electrum
|
107608ef201ff1d20d2f6091c257b1ceff9b7362
|
[
"MIT"
] | null | null | null |
electrum_gui/common/provider/chains/__init__.py
|
liyanhrxy/electrum
|
107608ef201ff1d20d2f6091c257b1ceff9b7362
|
[
"MIT"
] | null | null | null |
from electrum_gui.common.provider.chains import algo, btc, cfx, eth, sol, stc
| 39
| 77
| 0.782051
| 13
| 78
| 4.615385
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.115385
| 78
| 1
| 78
| 78
| 0.869565
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| 0
| 1
| 0
|
0
| 5
|
55d483fda5ecb6cd430f91dccc2da42caf17af30
| 4,949
|
py
|
Python
|
lib/m2ee/pgutil.py
|
diogomatsubara/cf-mendix-buildpack
|
48ab483585785e55dc7b94e2a8017fa70f0ef4a9
|
[
"Apache-2.0"
] | null | null | null |
lib/m2ee/pgutil.py
|
diogomatsubara/cf-mendix-buildpack
|
48ab483585785e55dc7b94e2a8017fa70f0ef4a9
|
[
"Apache-2.0"
] | 1
|
2021-02-08T20:38:26.000Z
|
2021-02-08T20:38:26.000Z
|
lib/m2ee/pgutil.py
|
diogomatsubara/cf-mendix-buildpack
|
48ab483585785e55dc7b94e2a8017fa70f0ef4a9
|
[
"Apache-2.0"
] | 1
|
2019-03-25T07:57:57.000Z
|
2019-03-25T07:57:57.000Z
|
#
# Copyright (c) 2009-2015, Mendix bv
# All Rights Reserved.
#
# http://www.mendix.com/
#
import os
import subprocess
import time
from .log import logger
def dumpdb(config, name=None):
env = os.environ.copy()
env.update(config.get_pg_environment())
if name is None:
name = ("%s_%s.backup"
% (env['PGDATABASE'], time.strftime("%Y%m%d_%H%M%S"))
)
db_dump_file_name = os.path.join(config.get_database_dump_path(), name)
logger.info("Writing database dump to %s" % db_dump_file_name)
cmd = (config.get_pg_dump_binary(), "-O", "-x", "-F", "c")
logger.trace("Executing %s" % str(cmd))
proc = subprocess.Popen(cmd, env=env, stdout=open(db_dump_file_name, 'w+'))
proc.communicate()
def restoredb(config, dump_name):
if not config.allow_destroy_db():
logger.error("Refusing to do a destructive database operation "
"because the allow_destroy_db configuration option "
"is set to false.")
return False
env = os.environ.copy()
env.update(config.get_pg_environment())
db_dump_file_name = os.path.join(
config.get_database_dump_path(), dump_name
)
if not os.path.isfile(db_dump_file_name):
logger.error("file %s does not exist: " % db_dump_file_name)
return False
logger.debug("Restoring %s" % db_dump_file_name)
cmd = (config.get_pg_restore_binary(), "-d", env['PGDATABASE'],
"-O", "-n", "public", "-x", db_dump_file_name)
logger.trace("Executing %s" % str(cmd))
proc = subprocess.Popen(cmd, env=env, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
(stdout, stderr) = proc.communicate()
if stderr != '':
logger.error("An error occured while calling pg_restore: %s " % stderr)
return False
return True
def emptydb(config):
if not config.allow_destroy_db():
logger.error("Refusing to do a destructive database operation "
"because the allow_destroy_db configuration option "
"is set to false.")
return False
env = os.environ.copy()
env.update(config.get_pg_environment())
logger.info("Removing all tables...")
# get list of drop table commands
cmd = (
config.get_psql_binary(), "-t", "-c",
"SELECT 'DROP TABLE ' || n.nspname || '.\"' || c.relname || '\" CASCADE;' "
"FROM pg_catalog.pg_class AS c LEFT JOIN pg_catalog.pg_namespace AS n "
"ON n.oid = c.relnamespace WHERE relkind = 'r' AND n.nspname NOT IN "
"('pg_catalog', 'pg_toast') AND pg_catalog.pg_table_is_visible(c.oid)"
)
logger.trace("Executing %s, creating pipe for stdout,stderr" % str(cmd))
proc1 = subprocess.Popen(cmd, env=env, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
(stdout, stderr) = proc1.communicate()
if stderr != '':
logger.error("An error occured while calling psql: %s" % stderr)
return False
stdin = stdout
cmd = (config.get_psql_binary(),)
logger.trace("Piping stdout,stderr to %s" % str(cmd))
proc2 = subprocess.Popen(cmd, env=env, stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
(stdout, stderr) = proc2.communicate(stdin)
if stderr != '':
logger.error("An error occured while calling psql: %s" % stderr)
return False
logger.info("Removing all sequences...")
# get list of drop sequence commands
cmd = (
config.get_psql_binary(), "-t", "-c",
"SELECT 'DROP SEQUENCE ' || n.nspname || '.\"' || c.relname || '\" "
"CASCADE;' FROM pg_catalog.pg_class AS c LEFT JOIN "
"pg_catalog.pg_namespace AS n ON n.oid = c.relnamespace WHERE "
"relkind = 'S' AND n.nspname NOT IN ('pg_catalog', 'pg_toast') AND "
"pg_catalog.pg_table_is_visible(c.oid)"
)
logger.trace("Executing %s, creating pipe for stdout,stderr" % str(cmd))
proc1 = subprocess.Popen(cmd, env=env, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
(stdout, stderr) = proc1.communicate()
if stderr != '':
logger.error("An error occured while calling psql: %s" % stderr)
return False
stdin = stdout
cmd = (config.get_psql_binary(),)
logger.trace("Piping stdout,stderr to %s" % str(cmd))
proc2 = subprocess.Popen(cmd, env=env, stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
(stdout, stderr) = proc2.communicate(stdin)
if stderr != '':
logger.error("An error occured while calling psql: %s" % stderr)
return False
return True
def psql(config):
env = os.environ.copy()
env.update(config.get_pg_environment())
cmd = (config.get_psql_binary(),)
logger.trace("Executing %s" % str(cmd))
subprocess.call(cmd, env=env)
| 33.89726
| 83
| 0.61568
| 642
| 4,949
| 4.610592
| 0.208723
| 0.039527
| 0.027027
| 0.037838
| 0.798649
| 0.786824
| 0.781419
| 0.755405
| 0.755405
| 0.735811
| 0
| 0.004316
| 0.25096
| 4,949
| 145
| 84
| 34.131034
| 0.794173
| 0.029299
| 0
| 0.603774
| 0
| 0
| 0.279666
| 0.025026
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037736
| false
| 0
| 0.037736
| 0
| 0.169811
| 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
|
55db235853a06a0cd8543daff1ab61345d252d5e
| 106
|
py
|
Python
|
py/Simple Addition/simple_addition.py
|
6ftunder/open.kattis
|
e88f0f6e508cd3ae0c38cbb11202de879991e59f
|
[
"MIT"
] | null | null | null |
py/Simple Addition/simple_addition.py
|
6ftunder/open.kattis
|
e88f0f6e508cd3ae0c38cbb11202de879991e59f
|
[
"MIT"
] | null | null | null |
py/Simple Addition/simple_addition.py
|
6ftunder/open.kattis
|
e88f0f6e508cd3ae0c38cbb11202de879991e59f
|
[
"MIT"
] | null | null | null |
# takes two inputs and adds them together as ints;
# outputs solution
print(int(input()) + int(input()))
| 21.2
| 50
| 0.707547
| 16
| 106
| 4.6875
| 0.875
| 0.213333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160377
| 106
| 4
| 51
| 26.5
| 0.842697
| 0.613208
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 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
| 0
| 0
| 0
| 1
|
0
| 5
|
55e48d28253061654b937cefb5aed7ef2022bb01
| 28
|
py
|
Python
|
__init__.py
|
tahabi/SimpleTrack
|
084f47fcac7ace72c8685dee861cef246e2c20b1
|
[
"BSD-3-Clause"
] | null | null | null |
__init__.py
|
tahabi/SimpleTrack
|
084f47fcac7ace72c8685dee861cef246e2c20b1
|
[
"BSD-3-Clause"
] | null | null | null |
__init__.py
|
tahabi/SimpleTrack
|
084f47fcac7ace72c8685dee861cef246e2c20b1
|
[
"BSD-3-Clause"
] | null | null | null |
from simpletrack import app
| 14
| 27
| 0.857143
| 4
| 28
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 1
| 28
| 28
| 1
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| 0
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| 0
| 0
| 0
| 0
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| 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
|
3640a703d89ba68b966e121a3a8030fc055c8f77
| 7,000
|
py
|
Python
|
test/unit/test_gcs_util.py
|
potiuk/snowflake-connector-python
|
4df2eb03791b7ec30aa800a4ea5a4b70eec62680
|
[
"Apache-2.0"
] | 3
|
2021-03-05T22:01:00.000Z
|
2021-04-02T17:48:33.000Z
|
test/unit/test_gcs_util.py
|
potiuk/snowflake-connector-python
|
4df2eb03791b7ec30aa800a4ea5a4b70eec62680
|
[
"Apache-2.0"
] | null | null | null |
test/unit/test_gcs_util.py
|
potiuk/snowflake-connector-python
|
4df2eb03791b7ec30aa800a4ea5a4b70eec62680
|
[
"Apache-2.0"
] | 1
|
2021-03-05T22:08:46.000Z
|
2021-03-05T22:08:46.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012-2020 Snowflake Computing Inc. All right reserved.
#
import logging
import mock
import pytest
from snowflake.connector.constants import ResultStatus
from ..randomize import random_string
pytestmark = pytest.mark.gcp
try:
from snowflake.connector.gcs_util import SnowflakeGCSUtil # NOQA
except ImportError:
SnowflakeGCSUtil = None
try:
from snowflake.connector.vendored import requests # NOQA
vendored_request = True
except ImportError: # pragma: no cover
import requests
vendored_request = False
def test_create_client(caplog):
"""Creates a GCSUtil with an access token."""
caplog.set_level(logging.DEBUG, 'snowflake.connector')
client = SnowflakeGCSUtil.create_client({'creds': {'GCS_ACCESS_TOKEN': 'fake_token'}})
assert client is not None
assert client == 'fake_token'
@pytest.mark.xfail(reason='Newer version support access token. This test is obsoleted')
def test_native_download_access_token(caplog):
"""Tests that GCS access token error is correctly logged when downloading."""
caplog.set_level(logging.DEBUG, 'snowflake.connector')
meta = {}
SnowflakeGCSUtil._native_download_file(meta, None, 99)
assert meta['result_status'] == ResultStatus.ERROR
assert (('snowflake.connector.gcs_util', logging.ERROR, "GCS download operation with an access token is "
"currently unsupported") in caplog.record_tuples)
@pytest.mark.xfail(reason='Newer version support access token. This test is obsoleted')
def test_native_upload_access_token(caplog):
"""Tests that GCS access token error is correctly logged when uploading."""
caplog.set_level(logging.DEBUG, 'snowflake.connector')
meta = {}
SnowflakeGCSUtil.upload_file(None, meta, None, 99)
assert meta['result_status'] == ResultStatus.ERROR
assert (('snowflake.connector.gcs_util', logging.ERROR, "GCS upload operation with an access token is "
"currently unsupported") in caplog.record_tuples)
@pytest.mark.parametrize('errno', [403, 408, 429, 500, 503])
def test_upload_retry_errors(errno, tmpdir):
"""Tests whether retryable errors are handled correctly when upploading."""
f_name = str(tmpdir.join('some_file.txt'))
resp = requests.Response()
resp.status_code = errno
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with open(f_name, 'w') as f:
f.write(random_string(15))
with mock.patch('snowflake.connector.vendored.requests.put' if vendored_request else 'requests.put',
side_effect=requests.exceptions.HTTPError(response=resp)):
SnowflakeGCSUtil.upload_file(f_name, meta, None, 99)
assert isinstance(meta['last_error'], requests.exceptions.HTTPError)
assert meta['result_status'] == ResultStatus.NEED_RETRY
def test_upload_uncaught_exception(tmpdir):
"""Tests whether non-retryable errors are handled correctly when uploading."""
f_name = str(tmpdir.join('some_file.txt'))
resp = requests.Response()
resp.status_code = 501
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with open(f_name, 'w') as f:
f.write(random_string(15))
with mock.patch('snowflake.connector.vendored.requests.put' if vendored_request else 'requests.put',
side_effect=requests.exceptions.HTTPError(response=resp)):
with pytest.raises(requests.exceptions.HTTPError):
SnowflakeGCSUtil.upload_file(f_name, meta, None, 99)
@pytest.mark.parametrize('errno', [403, 408, 429, 500, 503])
def test_download_retry_errors(errno, tmpdir):
"""Tests whether retryable errors are handled correctly when downloading."""
resp = requests.Response()
resp.status_code = errno
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with mock.patch('snowflake.connector.vendored.requests.get' if vendored_request else 'requests.get',
side_effect=requests.exceptions.HTTPError(response=resp)):
SnowflakeGCSUtil._native_download_file(meta, str(tmpdir), 99)
assert isinstance(meta['last_error'], requests.exceptions.HTTPError)
assert meta['result_status'] == ResultStatus.NEED_RETRY
def test_download_uncaught_exception(tmpdir):
"""Tests whether non-retryable errors are handled correctly when downloading."""
resp = requests.Response()
resp.status_code = 501
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with mock.patch('snowflake.connector.vendored.requests.get' if vendored_request else 'requests.get',
side_effect=requests.exceptions.HTTPError(response=resp)):
with pytest.raises(requests.exceptions.HTTPError):
SnowflakeGCSUtil._native_download_file(meta, str(tmpdir), 99)
def test_upload_put_timeout(tmpdir, caplog):
"""Tests whether timeout error is handled correctly when uploading."""
caplog.set_level(logging.DEBUG, 'snowflake.connector')
f_name = str(tmpdir.join('some_file.txt'))
resp = requests.Response()
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with open(f_name, 'w') as f:
f.write(random_string(15))
with mock.patch('snowflake.connector.vendored.requests.put' if vendored_request else 'requests.put',
side_effect=requests.exceptions.Timeout(response=resp)):
SnowflakeGCSUtil.upload_file(f_name, meta, None, 99)
assert isinstance(meta['last_error'], requests.exceptions.Timeout)
assert meta['result_status'] == ResultStatus.NEED_RETRY
assert all([log in caplog.record_tuples for log in [
('snowflake.connector.gcs_util', logging.DEBUG, 'GCS file upload Timeout Error: ')
]])
def test_upload_get_timeout(tmpdir, caplog):
"""Tests whether timeout error is handled correctly when downloading."""
caplog.set_level(logging.DEBUG, 'snowflake.connector')
resp = requests.Response()
meta = {'presigned_url': ['some_url'], 'sha256_digest': 'asd'}
with mock.patch('snowflake.connector.vendored.requests.get' if vendored_request else 'requests.get',
side_effect=requests.exceptions.Timeout(response=resp)):
SnowflakeGCSUtil._native_download_file(meta, str(tmpdir), 99)
assert isinstance(meta['last_error'], requests.exceptions.Timeout)
assert meta['result_status'] == ResultStatus.NEED_RETRY
assert ('snowflake.connector.gcs_util', logging.DEBUG, 'GCS file download Timeout Error: ') in caplog.record_tuples
def test_get_file_header_none_with_presigned_url():
"""Tests whether default file handle created by get_file_header is as expected."""
file_header = SnowflakeGCSUtil.get_file_header({"presigned_url": "www.example.com"}, 'file')
assert file_header.digest is None
assert file_header.content_length is None
assert file_header.encryption_metadata is None
| 46.052632
| 119
| 0.712857
| 863
| 7,000
| 5.611819
| 0.188876
| 0.066901
| 0.0446
| 0.027256
| 0.782986
| 0.770184
| 0.770184
| 0.761098
| 0.728061
| 0.675201
| 0
| 0.014698
| 0.173857
| 7,000
| 151
| 120
| 46.357616
| 0.822756
| 0.116857
| 0
| 0.66055
| 0
| 0
| 0.212933
| 0.058459
| 0
| 0
| 0
| 0
| 0.174312
| 1
| 0.091743
| false
| 0
| 0.091743
| 0
| 0.183486
| 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
|
364610525323df6387f1d80197e108cb34ae5ac3
| 122
|
py
|
Python
|
tasks-deploy/email-confirmations/check.py
|
HackerDom/qctf-starter-2018
|
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
|
[
"MIT"
] | 8
|
2018-03-15T12:07:11.000Z
|
2020-12-01T15:02:46.000Z
|
tasks-deploy/email-confirmations/check.py
|
HackerDom/qctf-starter-2018
|
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
|
[
"MIT"
] | 17
|
2020-01-28T22:17:42.000Z
|
2022-03-11T23:18:09.000Z
|
tasks-deploy/email-confirmations/check.py
|
HackerDom/qctf-starter-2018
|
f4eef0fd41d777661b9fbcc61dcee9709d9f6268
|
[
"MIT"
] | 2
|
2018-11-26T18:54:27.000Z
|
2018-12-05T17:37:32.000Z
|
FLAG = 'QCTF{4e94227c6c003c0b6da6f81c9177c7e7}'
def check(attempt, context):
return Checked(attempt.answer == FLAG)
| 20.333333
| 47
| 0.754098
| 12
| 122
| 7.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198113
| 0.131148
| 122
| 5
| 48
| 24.4
| 0.669811
| 0
| 0
| 0
| 0
| 0
| 0.311475
| 0.311475
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
3653402969ecb055087e26fe29a47db8b2877f50
| 214
|
py
|
Python
|
mini_amazon/__init__.py
|
vinaydyamaklar/mini-amazon
|
9aab9f8e236ed0f1fa638b02e55337bf48e7f977
|
[
"Unlicense"
] | null | null | null |
mini_amazon/__init__.py
|
vinaydyamaklar/mini-amazon
|
9aab9f8e236ed0f1fa638b02e55337bf48e7f977
|
[
"Unlicense"
] | null | null | null |
mini_amazon/__init__.py
|
vinaydyamaklar/mini-amazon
|
9aab9f8e236ed0f1fa638b02e55337bf48e7f977
|
[
"Unlicense"
] | null | null | null |
from flask import Flask
app = Flask("mini-amazon", static_folder="./mini_amazon/static",
static_url_path="",
template_folder="./mini_amazon/templates")
from mini_amazon import api, views
| 23.777778
| 64
| 0.686916
| 27
| 214
| 5.185185
| 0.518519
| 0.285714
| 0.228571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.196262
| 214
| 8
| 65
| 26.75
| 0.813953
| 0
| 0
| 0
| 0
| 0
| 0.252336
| 0.107477
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 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
|
36599e5e3753b3cacdc811a13ddb4c30653f70f3
| 103
|
py
|
Python
|
aws_eden_cli/__main__.py
|
baikonur-oss/aws-eden-cli
|
c758b10ae1d31e9106c505565b2a234a5c942cb0
|
[
"MIT"
] | 43
|
2019-08-23T01:40:42.000Z
|
2021-02-11T14:14:23.000Z
|
aws_eden_cli/__main__.py
|
baikonur-oss/aws-eden-cli
|
c758b10ae1d31e9106c505565b2a234a5c942cb0
|
[
"MIT"
] | 146
|
2019-11-14T06:26:54.000Z
|
2020-10-09T19:41:55.000Z
|
aws_eden_cli/__main__.py
|
baikonur-oss/aws-eden-cli
|
c758b10ae1d31e9106c505565b2a234a5c942cb0
|
[
"MIT"
] | 1
|
2020-05-23T04:03:51.000Z
|
2020-05-23T04:03:51.000Z
|
import sys
from . import cmdline
if __name__ == '__main__':
sys.exit(cmdline.main(sys.argv[1:]))
| 14.714286
| 40
| 0.679612
| 15
| 103
| 4.133333
| 0.666667
| 0.225806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011628
| 0.165049
| 103
| 6
| 41
| 17.166667
| 0.709302
| 0
| 0
| 0
| 0
| 0
| 0.07767
| 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
|
366a1a0be9cbaa4feb453213161a209a024a7755
| 434
|
py
|
Python
|
codes/prob_distribution/random_variable.py
|
NCEPU-Sunrise/2021-MachineLearningGroup
|
d47a73fa1627f0452ed9e39aacf72e925d25ee73
|
[
"MIT"
] | 3
|
2021-11-02T06:07:24.000Z
|
2022-03-14T07:44:24.000Z
|
codes/prob_distribution/random_variable.py
|
NCEPU-Sunrise/2021-MachineLearningGroup
|
d47a73fa1627f0452ed9e39aacf72e925d25ee73
|
[
"MIT"
] | null | null | null |
codes/prob_distribution/random_variable.py
|
NCEPU-Sunrise/2021-MachineLearningGroup
|
d47a73fa1627f0452ed9e39aacf72e925d25ee73
|
[
"MIT"
] | 1
|
2022-01-29T09:09:58.000Z
|
2022-01-29T09:09:58.000Z
|
class RandomVariable:
"""
Basic class for random variable distribution
"""
def __init__(self):
"""
self.parameter is a dict for parameters in distribution
"""
self.parameter = {}
def fit(self):
pass
def ml(self):
pass
def map(self):
pass
def bayes(self):
pass
def pdf(self):
pass
def sample(self):
pass
| 13.151515
| 63
| 0.509217
| 46
| 434
| 4.717391
| 0.5
| 0.221198
| 0.253456
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.400922
| 434
| 32
| 64
| 13.5625
| 0.834615
| 0.230415
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.466667
| false
| 0.4
| 0
| 0
| 0.533333
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
369dbe3ea5fb198818a4c3cf113b65140ccf3cec
| 94
|
py
|
Python
|
src/postings/admin.py
|
zhuguangjun2002/REST-API-Basics-JWT
|
53a68ac4219d8666a3bdb6065747a6af9950d5a5
|
[
"MIT"
] | 206
|
2017-12-19T22:15:04.000Z
|
2022-03-16T19:12:40.000Z
|
src/postings/admin.py
|
zhuguangjun2002/REST-API-Basics-JWT
|
53a68ac4219d8666a3bdb6065747a6af9950d5a5
|
[
"MIT"
] | 8
|
2020-03-24T17:06:30.000Z
|
2022-01-13T01:16:34.000Z
|
postings/admin.py
|
TeddyTeddy/REST-API-Basics
|
c644ba054821206a5e4603dccdf35eba8a77189f
|
[
"MIT"
] | 132
|
2017-12-20T18:40:29.000Z
|
2022-01-04T12:05:23.000Z
|
from django.contrib import admin
from .models import BlogPost
admin.site.register(BlogPost)
| 15.666667
| 32
| 0.819149
| 13
| 94
| 5.923077
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117021
| 94
| 6
| 33
| 15.666667
| 0.927711
| 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
|
7fcaa6229adc8e71f6c5ca5b5146249ecee2003e
| 44
|
py
|
Python
|
formiko/__main__.py
|
benburrill/formiko
|
86630506c537f9517666d9b0d5b2a905e7385b01
|
[
"BSD-3-Clause"
] | 116
|
2016-07-13T00:35:35.000Z
|
2022-02-22T15:46:44.000Z
|
formiko/__main__.py
|
benburrill/formiko
|
86630506c537f9517666d9b0d5b2a905e7385b01
|
[
"BSD-3-Clause"
] | 32
|
2018-01-23T13:50:27.000Z
|
2022-03-30T05:34:56.000Z
|
formiko/__main__.py
|
benburrill/formiko
|
86630506c537f9517666d9b0d5b2a905e7385b01
|
[
"BSD-3-Clause"
] | 8
|
2018-12-21T13:45:36.000Z
|
2021-11-07T22:40:05.000Z
|
from formiko.main import main
exit(main())
| 11
| 29
| 0.75
| 7
| 44
| 4.714286
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 44
| 3
| 30
| 14.666667
| 0.868421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7fdd61e219cc466d9a3c55099b4ce7912eee7ce0
| 374
|
py
|
Python
|
resippy/spectral/spectrum_factories/spectrum_factory.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 11
|
2019-03-30T02:32:13.000Z
|
2021-11-02T23:15:17.000Z
|
resippy/spectral/spectrum_factories/spectrum_factory.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 10
|
2019-02-28T21:24:01.000Z
|
2019-12-31T15:02:03.000Z
|
resippy/spectral/spectrum_factories/spectrum_factory.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 4
|
2019-08-16T22:20:23.000Z
|
2021-04-27T08:23:01.000Z
|
from __future__ import division
from . import usgs as usgs_spectrum_factories
from . import envi as envi_spectrum_factories
from . import SVC as svc_spectrum_factories
from . import csv as csv_spectrum_factories
class SpectrumFactory:
usgs = usgs_spectrum_factories
envi = envi_spectrum_factories
svc = svc_spectrum_factories
csv = csv_spectrum_factories
| 26.714286
| 45
| 0.812834
| 50
| 374
| 5.68
| 0.26
| 0.478873
| 0.221831
| 0.285211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163102
| 374
| 13
| 46
| 28.769231
| 0.907348
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7fe706ff8f6b7dfcae4c28a069f5a28407fa0e42
| 93
|
py
|
Python
|
otter/__main__.py
|
nalderto/otter-grader
|
a4714bf48df07b7eb8b3c41530ce7a778fd42c98
|
[
"BSD-3-Clause"
] | null | null | null |
otter/__main__.py
|
nalderto/otter-grader
|
a4714bf48df07b7eb8b3c41530ce7a778fd42c98
|
[
"BSD-3-Clause"
] | null | null | null |
otter/__main__.py
|
nalderto/otter-grader
|
a4714bf48df07b7eb8b3c41530ce7a778fd42c98
|
[
"BSD-3-Clause"
] | null | null | null |
"""
otter module
"""
from .run import run_otter
if __name__ == "__main__":
run_otter()
| 10.333333
| 26
| 0.645161
| 12
| 93
| 4.166667
| 0.666667
| 0.32
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204301
| 93
| 8
| 27
| 11.625
| 0.675676
| 0.129032
| 0
| 0
| 0
| 0
| 0.109589
| 0
| 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
|
3d01a5b861be4063ebb2b4863891c173e6663939
| 285
|
py
|
Python
|
sources/model/__init__.py
|
lthamm/concept-embeddings-and-ilp
|
27592c6424147a2fbb54d7daebc92cd72b3f4a0c
|
[
"MIT"
] | 3
|
2020-11-02T12:21:29.000Z
|
2021-08-02T14:01:37.000Z
|
sources/model/__init__.py
|
lthamm/concept-embeddings-and-ilp
|
27592c6424147a2fbb54d7daebc92cd72b3f4a0c
|
[
"MIT"
] | 2
|
2020-11-06T07:58:13.000Z
|
2022-03-13T16:11:30.000Z
|
sources/model/__init__.py
|
lthamm/concept-embeddings-and-ilp
|
27592c6424147a2fbb54d7daebc92cd72b3f4a0c
|
[
"MIT"
] | 1
|
2020-11-03T14:54:16.000Z
|
2020-11-03T14:54:16.000Z
|
"""Functions to create, save, load, and evaluate models fine-tuned for the picasso dataset.
Loading functions can be found in the finetuning.model_loaders module.
The fine-tuning routine and data loader can be found in finetuning.finetune_pytorch.py.
"""
from .utils import model_id
| 35.625
| 91
| 0.796491
| 45
| 285
| 4.977778
| 0.755556
| 0.044643
| 0.089286
| 0.107143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 285
| 7
| 92
| 40.714286
| 0.914286
| 0.870175
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3d19c6369a7fff987cd7d7c19078b3e132776608
| 18,550
|
py
|
Python
|
tests/integration/test_validators.py
|
sthagen/p1c2u-openapi-schema-validator
|
60a358dbdd5f5760e354acef4687d99aef798399
|
[
"BSD-3-Clause"
] | 1
|
2021-11-05T19:03:16.000Z
|
2021-11-05T19:03:16.000Z
|
tests/integration/test_validators.py
|
sthagen/p1c2u-openapi-schema-validator
|
60a358dbdd5f5760e354acef4687d99aef798399
|
[
"BSD-3-Clause"
] | null | null | null |
tests/integration/test_validators.py
|
sthagen/p1c2u-openapi-schema-validator
|
60a358dbdd5f5760e354acef4687d99aef798399
|
[
"BSD-3-Clause"
] | null | null | null |
from jsonschema import ValidationError
import pytest
from openapi_schema_validator import OAS30Validator, oas30_format_checker, \
OAS31Validator, oas31_format_checker
try:
from unittest import mock
except ImportError:
import mock
class TestOAS30ValidatorValidate(object):
@pytest.mark.parametrize('schema_type', [
'boolean', 'array', 'integer', 'number', 'string',
])
def test_null(self, schema_type):
schema = {"type": schema_type}
validator = OAS30Validator(schema)
value = None
with pytest.raises(ValidationError):
validator.validate(value)
@pytest.mark.parametrize('schema_type', [
'boolean', 'array', 'integer', 'number', 'string',
])
def test_nullable(self, schema_type):
schema = {"type": schema_type, "nullable": True}
validator = OAS30Validator(schema)
value = None
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
u'1989-01-02T00:00:00Z',
u'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_no_datetime_validator(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS30Validator(
schema, format_checker=oas30_format_checker)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
u'1989-01-02T00:00:00Z',
u'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', True
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_datetime_rfc3339_validator(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS30Validator(
schema, format_checker=oas30_format_checker)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
u'1989-01-02T00:00:00Z',
u'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', True
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_datetime_strict_rfc3339(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS30Validator(
schema, format_checker=oas30_format_checker)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
u'1989-01-02T00:00:00Z',
u'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', True
)
def test_string_format_datetime_isodate(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS30Validator(
schema, format_checker=oas30_format_checker)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'f50ec0b7-f960-400d-91f0-c42a6d44e3d0',
'F50EC0B7-F960-400D-91F0-C42A6D44E3D0',
])
def test_string_uuid(self, value):
schema = {"type": 'string', "format": 'uuid'}
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
result = validator.validate(value)
assert result is None
def test_allof_required(self):
schema = {
"allOf": [
{"type": "object",
"properties": {
"some_prop": {"type": "string"}}},
{"type": "object", "required": ["some_prop"]},
]
}
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
with pytest.raises(ValidationError,
match="'some_prop' is a required property"):
validator.validate({"another_prop": "bla"})
def test_required(self):
schema = {
"type": "object",
"properties": {
"some_prop": {
"type": "string"
}
},
"required": ["some_prop"]
}
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
with pytest.raises(ValidationError,
match="'some_prop' is a required property"):
validator.validate({"another_prop": "bla"})
assert validator.validate({"some_prop": "hello"}) is None
def test_required_read_only(self):
schema = {
"type": "object",
"properties": {
"some_prop": {
"type": "string",
"readOnly": True
}
},
"required": ["some_prop"]
}
validator = OAS30Validator(schema, format_checker=oas30_format_checker,
read=True)
with pytest.raises(ValidationError,
match="'some_prop' is a required property"):
validator.validate({"another_prop": "hello"})
validator = OAS30Validator(schema, format_checker=oas30_format_checker,
write=True)
assert validator.validate({"another_prop": "hello"}) is None
def test_required_write_only(self):
schema = {
"type": "object",
"properties": {
"some_prop": {
"type": "string",
"writeOnly": True
}
},
"required": ["some_prop"]
}
validator = OAS30Validator(schema, format_checker=oas30_format_checker,
write=True)
with pytest.raises(ValidationError,
match="'some_prop' is a required property"):
validator.validate({"another_prop": "hello"})
validator = OAS30Validator(schema, format_checker=oas30_format_checker,
read=True)
assert validator.validate({"another_prop": "hello"}) is None
def test_oneof_required(self):
instance = {
'n3IwfId': 'string',
}
schema = {
"type": "object",
"properties": {
"n3IwfId": {"type": "string"},
"wagfId": {"type": "string"},
},
"oneOf": [
{"required": ["n3IwfId"]},
{"required": ["wagfId"]},
],
}
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
result = validator.validate(instance)
assert result is None
@pytest.mark.parametrize('schema_type', [
'oneOf', 'anyOf', 'allOf',
])
def test_oneof_discriminator(self, schema_type):
# We define a few components schemas
components = {
"MountainHiking": {
"type": "object",
"properties": {
"discipline": {
"type": "string",
# we allow both the explicitely matched mountain_hiking discipline
# and the implicitely matched MoutainHiking discipline
"enum": ["mountain_hiking", "MountainHiking"]
},
"length": {
"type": "integer",
}
},
"required": ["discipline", "length"]
},
"AlpineClimbing": {
"type": "object",
"properties": {
"discipline": {
"type": "string",
"enum": ["alpine_climbing"]
},
"height": {
"type": "integer",
},
},
"required": ["discipline", "height"]
},
"Route": {
# defined later
}
}
components['Route'][schema_type] = [
{"$ref": "#/components/schemas/MountainHiking"},
{"$ref": "#/components/schemas/AlpineClimbing"},
]
# Add the compoments in a minimalis schema
schema = {
"$ref": "#/components/schemas/Route",
"components": {
"schemas": components
}
}
if schema_type != 'allOf':
# use jsonschema validator when no discriminator is defined
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
with pytest.raises(ValidationError, match="is not valid under any of the given schemas"):
validator.validate({
"something": "matching_none_of_the_schemas"
})
assert False
if schema_type == 'anyOf':
# use jsonschema validator when no discriminator is defined
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
with pytest.raises(ValidationError, match="is not valid under any of the given schemas"):
validator.validate({
"something": "matching_none_of_the_schemas"
})
assert False
discriminator = {
"propertyName": "discipline",
"mapping": {
"mountain_hiking": "#/components/schemas/MountainHiking",
"alpine_climbing": "#/components/schemas/AlpineClimbing",
}
}
schema['components']['schemas']['Route']['discriminator'] = discriminator
# Optional: check we return useful result when the schema is wrong
validator = OAS30Validator(schema, format_checker=oas30_format_checker)
with pytest.raises(ValidationError, match="does not contain discriminating property"):
validator.validate({
"something": "missing"
})
assert False
# Check we get a non-generic, somehow usable, error message when a discriminated schema is failing
with pytest.raises(ValidationError, match="'bad_string' is not of type integer"):
validator.validate({
"discipline": "mountain_hiking",
"length": "bad_string"
})
assert False
# Check explicit MountainHiking resolution
validator.validate({
"discipline": "mountain_hiking",
"length": 10
})
# Check implicit MountainHiking resolution
validator.validate({
"discipline": "MountainHiking",
"length": 10
})
# Check non resolvable implicit schema
with pytest.raises(ValidationError, match="reference '#/components/schemas/other' could not be resolved"):
result = validator.validate({
"discipline": "other"
})
assert False
class TestOAS31ValidatorValidate(object):
@pytest.mark.parametrize('schema_type', [
'boolean', 'array', 'integer', 'number', 'string',
])
def test_null(self, schema_type):
schema = {"type": schema_type}
validator = OAS31Validator(schema)
value = None
with pytest.raises(ValidationError):
validator.validate(value)
@pytest.mark.parametrize('schema_type', [
'boolean', 'array', 'integer', 'number', 'string',
])
def test_nullable(self, schema_type):
schema = {"type": [schema_type, 'null']}
validator = OAS31Validator(schema)
value = None
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'1989-01-02T00:00:00Z',
'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_no_datetime_validator(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'1989-01-02T00:00:00Z',
'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', True
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_datetime_rfc3339_validator(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'1989-01-02T00:00:00Z',
'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', True
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', False
)
def test_string_format_datetime_strict_rfc3339(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'1989-01-02T00:00:00Z',
'2018-01-02T23:59:59Z',
])
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_RFC3339_VALIDATOR', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_STRICT_RFC3339', False
)
@mock.patch(
'openapi_schema_validator._format.'
'DATETIME_HAS_ISODATE', True
)
def test_string_format_datetime_isodate(self, value):
schema = {"type": 'string', "format": 'date-time'}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate(value)
assert result is None
@pytest.mark.parametrize('value', [
'f50ec0b7-f960-400d-91f0-c42a6d44e3d0',
'F50EC0B7-F960-400D-91F0-C42A6D44E3D0',
])
def test_string_uuid(self, value):
schema = {"type": 'string', "format": 'uuid'}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate(value)
assert result is None
def test_schema_validation(self):
schema = {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer",
"format": "int32",
"minimum": 0,
"nullable": True,
},
"birth-date": {
"type": "string",
"format": "date",
}
},
"additionalProperties": False,
}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate({"name": "John", "age": 23}, schema)
assert result is None
with pytest.raises(ValidationError) as excinfo:
validator.validate({"name": "John", "city": "London"}, schema)
error = "Additional properties are not allowed ('city' was unexpected)"
assert error in str(excinfo.value)
with pytest.raises(ValidationError) as excinfo:
validator.validate({"name": "John", "birth-date": "-12"})
error = "'-12' is not a 'date'"
assert error in str(excinfo.value)
def test_schema_ref(self):
schema = {
"$ref": "#/$defs/Pet",
"$defs": {
"Pet": {
"required": [
"id",
"name"
],
"properties": {
"id": {
"type": "integer",
"format": "int64"
},
"name": {
"type": "string"
},
"tag": {
"type": "string"
}
}
}
}
}
validator = OAS31Validator(
schema,
format_checker=oas31_format_checker,
)
result = validator.validate({"id": 1, "name": "John"}, schema)
assert result is None
with pytest.raises(ValidationError) as excinfo:
validator.validate({"name": "John"}, schema)
error = "'id' is a required property"
assert error in str(excinfo.value)
| 31.709402
| 114
| 0.539677
| 1,626
| 18,550
| 5.957565
| 0.118696
| 0.061732
| 0.056777
| 0.054506
| 0.775059
| 0.751213
| 0.724579
| 0.712708
| 0.712708
| 0.707753
| 0
| 0.042148
| 0.346415
| 18,550
| 584
| 115
| 31.763699
| 0.756846
| 0.032561
| 0
| 0.674044
| 0
| 0
| 0.244131
| 0.091563
| 0
| 0
| 0
| 0
| 0.052314
| 1
| 0.044266
| false
| 0
| 0.012072
| 0
| 0.060362
| 0
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
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| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3d23dae371fa527c0268bfe60fa4091945d039ab
| 79
|
py
|
Python
|
pyeccodes/defs/grib2/local/1098/2_1_table.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 7
|
2020-04-14T09:41:17.000Z
|
2021-08-06T09:38:19.000Z
|
pyeccodes/defs/grib2/local/1098/2_1_table.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | null | null | null |
pyeccodes/defs/grib2/local/1098/2_1_table.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 3
|
2020-04-30T12:44:48.000Z
|
2020-12-15T08:40:26.000Z
|
def load(h):
return ({'abbr': 'model', 'code': 0, 'title': 'Model info'},)
| 26.333333
| 65
| 0.531646
| 11
| 79
| 3.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015385
| 0.177215
| 79
| 2
| 66
| 39.5
| 0.630769
| 0
| 0
| 0
| 0
| 0
| 0.35443
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
3d2b138768285d0380b69d2f07cfaa84370b344c
| 157
|
py
|
Python
|
parflow_data_management/scheduler/models/workflow.py
|
tao558/parflow_data_management
|
903543cedfd990d52a3461b1e5d02d43721623a3
|
[
"BSD-3-Clause"
] | null | null | null |
parflow_data_management/scheduler/models/workflow.py
|
tao558/parflow_data_management
|
903543cedfd990d52a3461b1e5d02d43721623a3
|
[
"BSD-3-Clause"
] | 12
|
2020-10-26T21:05:35.000Z
|
2021-02-01T22:04:25.000Z
|
parflow_data_management/scheduler/models/workflow.py
|
Kitware/parflow_data_management
|
903543cedfd990d52a3461b1e5d02d43721623a3
|
[
"BSD-3-Clause"
] | 1
|
2021-02-25T18:32:32.000Z
|
2021-02-25T18:32:32.000Z
|
from django_extensions.db.models import TimeStampedModel
from .project_asset import ProjectAsset
class Workflow(TimeStampedModel, ProjectAsset):
pass
| 19.625
| 56
| 0.834395
| 17
| 157
| 7.588235
| 0.764706
| 0
| 0
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| 0
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| 0
| 0.121019
| 157
| 7
| 57
| 22.428571
| 0.934783
| 0
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| true
| 0.25
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| 0.75
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| null | 0
| 0
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| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
3d3a90b28f2b798201b8c9e0024a389c7f238764
| 60
|
py
|
Python
|
printree/__init__.py
|
chrizzFTD/printree
|
5ecd1ca04c2936799bcadcfc059c312823e1613c
|
[
"MIT"
] | 5
|
2021-02-21T21:31:23.000Z
|
2022-01-23T09:51:07.000Z
|
printree/__init__.py
|
chrizzFTD/printree
|
5ecd1ca04c2936799bcadcfc059c312823e1613c
|
[
"MIT"
] | null | null | null |
printree/__init__.py
|
chrizzFTD/printree
|
5ecd1ca04c2936799bcadcfc059c312823e1613c
|
[
"MIT"
] | 1
|
2021-05-11T05:36:06.000Z
|
2021-05-11T05:36:06.000Z
|
from ._ptree import ptree, ftree, AsciiPrinter, TreePrinter
| 30
| 59
| 0.816667
| 7
| 60
| 6.857143
| 0.857143
| 0
| 0
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| 0
| 0.116667
| 60
| 1
| 60
| 60
| 0.90566
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| true
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| 1
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| 1
| 0
| 1
| 0
|
0
| 5
|
a10798f55f5157fb4698695f20b350752de5cbd9
| 128
|
py
|
Python
|
build/lib/drf_advanced_token_manager/admin.py
|
amp89/drf_advanced_token_manager
|
2b1dec87cfcadd22ffd8c599a860ade670915dcf
|
[
"MIT"
] | 1
|
2020-09-07T05:13:49.000Z
|
2020-09-07T05:13:49.000Z
|
build/lib/drf_advanced_token_manager/admin.py
|
amp89/drf_advanced_token_manager
|
2b1dec87cfcadd22ffd8c599a860ade670915dcf
|
[
"MIT"
] | 1
|
2020-09-11T01:19:07.000Z
|
2020-09-11T01:19:07.000Z
|
drf_advanced_token_manager/admin.py
|
amp89/drf_advanced_token_manager
|
2b1dec87cfcadd22ffd8c599a860ade670915dcf
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from drf_advanced_token_manager.models import UserUIKeyLock
admin.site.register(UserUIKeyLock)
| 32
| 59
| 0.882813
| 17
| 128
| 6.470588
| 0.764706
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.070313
| 128
| 4
| 60
| 32
| 0.92437
| 0
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| 1
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| true
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| 0.666667
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| 0.666667
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| null | 0
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| null | 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a12329eb96f6666367652d692b2f2a23ac1bc1ff
| 191
|
py
|
Python
|
demos/time/time_service.py
|
fruch/rpyc
|
8db3fdcef2272d468aca562465279370d075be72
|
[
"MIT"
] | null | null | null |
demos/time/time_service.py
|
fruch/rpyc
|
8db3fdcef2272d468aca562465279370d075be72
|
[
"MIT"
] | null | null | null |
demos/time/time_service.py
|
fruch/rpyc
|
8db3fdcef2272d468aca562465279370d075be72
|
[
"MIT"
] | null | null | null |
import time
from rpyc import Service
class TimeService(Service):
def exposed_get_utc(self):
return time.time()
def exposed_get_time(self):
return time.ctime()
| 15.916667
| 31
| 0.670157
| 25
| 191
| 4.96
| 0.56
| 0.16129
| 0.209677
| 0
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| 0
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| 0
| 0
| 0
| 0.251309
| 191
| 11
| 32
| 17.363636
| 0.867133
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| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.285714
| 1
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| 0
| null | 0
| 1
| 0
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| 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
|
a15006956e45228de54f4817e2fd5fdc78421f37
| 58
|
py
|
Python
|
ACME/visdom/text/__init__.py
|
mauriziokovacic/ACME
|
2615b66dd4addfd5c03d9d91a24c7da414294308
|
[
"MIT"
] | 3
|
2019-10-23T23:10:55.000Z
|
2021-09-01T07:30:14.000Z
|
ACME/visdom/text/__init__.py
|
mauriziokovacic/ACME-Python
|
2615b66dd4addfd5c03d9d91a24c7da414294308
|
[
"MIT"
] | null | null | null |
ACME/visdom/text/__init__.py
|
mauriziokovacic/ACME-Python
|
2615b66dd4addfd5c03d9d91a24c7da414294308
|
[
"MIT"
] | 1
|
2020-07-11T11:35:43.000Z
|
2020-07-11T11:35:43.000Z
|
from .TextPlot import *
from .TrainStatPlot import *
| 19.333333
| 28
| 0.706897
| 6
| 58
| 6.833333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.224138
| 58
| 2
| 29
| 29
| 0.911111
| 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
|
a152ef6fc9a72b5904f117d670438da13477f9bb
| 657
|
py
|
Python
|
main.py
|
HoangTheBoss/valorant-skin-cli
|
258c7797468b6fa58ebb82e179b753cd42182644
|
[
"MIT"
] | null | null | null |
main.py
|
HoangTheBoss/valorant-skin-cli
|
258c7797468b6fa58ebb82e179b753cd42182644
|
[
"MIT"
] | null | null | null |
main.py
|
HoangTheBoss/valorant-skin-cli
|
258c7797468b6fa58ebb82e179b753cd42182644
|
[
"MIT"
] | null | null | null |
from valclient.client import Client
from InquirerPy.utils import color_print
from src.startup import Startup
# TODO:
# - launch with valorant
# - detect new releases on github
# - clarify some prompts
# TODO LATER:
# - loadouts
if __name__ == "__main__":
color_print([("Tomato", '''
_ _____ __ ____ ___ ___ _ ________ __ _ ___
| | / / _ | / / / __ \/ _ \/ _ | / |/ /_ __/______ / /__ (_)__ ________/ (_)
| |/ / __ |/ /__/ /_/ / , _/ __ |/ / / / /___(_-</ '_// / _ \/___/ __/ / /
|___/_/ |_/____/\____/_/|_/_/ |_/_/|_/ /_/ /___/_/\_\/_/_//_/ \__/_/_/
''')])
Startup.run()
| 25.269231
| 82
| 0.506849
| 39
| 657
| 5.410256
| 0.74359
| 0.094787
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.296804
| 657
| 26
| 83
| 25.269231
| 0.45671
| 0.161339
| 0
| 0
| 0
| 0.272727
| 0.644037
| 0.038532
| 0
| 0
| 0
| 0.038462
| 0
| 1
| 0
| true
| 0
| 0.272727
| 0
| 0.272727
| 0.181818
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
a160b71562798195e50599b9f415d934d55dadb9
| 282
|
py
|
Python
|
cegs_portal/search/models/file.py
|
ReddyLab/cegs-portal
|
a83703a3557167be328c24bfb866b6aa019ba059
|
[
"MIT"
] | null | null | null |
cegs_portal/search/models/file.py
|
ReddyLab/cegs-portal
|
a83703a3557167be328c24bfb866b6aa019ba059
|
[
"MIT"
] | null | null | null |
cegs_portal/search/models/file.py
|
ReddyLab/cegs-portal
|
a83703a3557167be328c24bfb866b6aa019ba059
|
[
"MIT"
] | null | null | null |
from django.db import models
from cegs_portal.search.models.facets import FacetedModel
class File(FacetedModel):
filename = models.CharField(max_length=512)
description = models.CharField(max_length=4096, null=True)
url = models.CharField(max_length=2048, null=True)
| 28.2
| 62
| 0.780142
| 38
| 282
| 5.684211
| 0.605263
| 0.208333
| 0.25
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044715
| 0.12766
| 282
| 9
| 63
| 31.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a1a1dee8c5022c25ea664f15a510f51962cb08a2
| 166
|
py
|
Python
|
tsrc/utils.py
|
thomashk0/tsrc
|
c62e1d76703e6af77d743fc7827f357054b5a954
|
[
"BSD-3-Clause"
] | 95
|
2018-12-17T12:18:05.000Z
|
2021-01-22T03:18:37.000Z
|
tsrc/utils.py
|
thomashk0/tsrc
|
c62e1d76703e6af77d743fc7827f357054b5a954
|
[
"BSD-3-Clause"
] | 118
|
2018-11-09T16:29:38.000Z
|
2021-01-18T13:39:34.000Z
|
tsrc/utils.py
|
thomashk0/tsrc
|
c62e1d76703e6af77d743fc7827f357054b5a954
|
[
"BSD-3-Clause"
] | 16
|
2019-05-17T09:39:51.000Z
|
2020-09-04T14:37:38.000Z
|
import shutil
import cli_ui as ui
def erase_last_line() -> None:
terminal_size = shutil.get_terminal_size()
ui.info(" " * terminal_size.columns, end="\r")
| 18.444444
| 50
| 0.698795
| 25
| 166
| 4.36
| 0.68
| 0.330275
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174699
| 166
| 8
| 51
| 20.75
| 0.79562
| 0
| 0
| 0
| 0
| 0
| 0.018072
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a1de90064a25edf614163f3f50717bd15748cb9e
| 564
|
py
|
Python
|
common/markdown/markdown.py
|
ujlbu4/vas3k.club
|
1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e
|
[
"MIT"
] | 496
|
2020-04-24T04:20:32.000Z
|
2022-03-31T21:55:57.000Z
|
common/markdown/markdown.py
|
ujlbu4/vas3k.club
|
1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e
|
[
"MIT"
] | 642
|
2020-04-24T11:54:13.000Z
|
2022-03-26T15:41:06.000Z
|
common/markdown/markdown.py
|
ujlbu4/vas3k.club
|
1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e
|
[
"MIT"
] | 243
|
2020-04-24T11:49:11.000Z
|
2022-03-24T18:38:48.000Z
|
import mistune
from common.markdown.club_renderer import ClubRenderer
from common.markdown.email_renderer import EmailRenderer
from common.markdown.plain_renderer import PlainRenderer
def markdown_text(text, renderer=ClubRenderer):
markdown = mistune.create_markdown(
escape=True, renderer=renderer(), plugins=["strikethrough", "url"]
)
return (markdown(text) or "").strip()
def markdown_plain(text):
return markdown_text(text, renderer=PlainRenderer)
def markdown_email(text):
return markdown_text(text, renderer=EmailRenderer)
| 26.857143
| 74
| 0.776596
| 65
| 564
| 6.6
| 0.353846
| 0.111888
| 0.125874
| 0.167832
| 0.158508
| 0.158508
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131206
| 564
| 20
| 75
| 28.2
| 0.87551
| 0
| 0
| 0
| 0
| 0
| 0.028369
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.230769
| false
| 0
| 0.307692
| 0.153846
| 0.769231
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 1
| 1
| 1
| 0
|
0
| 5
|
62b098ca2dde829e61b0519b46730054b0f96e35
| 46
|
py
|
Python
|
baekjoon/16430/source.py
|
qilip/ACMStudy
|
c4d6f31b01358ead4959c92f1fac59a3826f3f77
|
[
"CC-BY-3.0"
] | 4
|
2020-02-02T08:34:46.000Z
|
2021-10-01T11:21:17.000Z
|
baekjoon/16430/source.py
|
qilip/ACMStudy
|
c4d6f31b01358ead4959c92f1fac59a3826f3f77
|
[
"CC-BY-3.0"
] | 1
|
2021-09-04T14:03:50.000Z
|
2021-09-04T14:03:50.000Z
|
baekjoon/16430/source.py
|
qilip/ACMStudy
|
c4d6f31b01358ead4959c92f1fac59a3826f3f77
|
[
"CC-BY-3.0"
] | null | null | null |
a, b = map(int, input().split())
print(b-a, b)
| 23
| 32
| 0.565217
| 10
| 46
| 2.6
| 0.7
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 46
| 2
| 33
| 23
| 0.65
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 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
|
62e8e469464b4451d59c193082307778dea7237b
| 170
|
py
|
Python
|
budget/admin.py
|
tejaser/budgetproject
|
3b4f2ef0827bd60cd4c8c6115b4c797d788ff6d6
|
[
"MIT"
] | null | null | null |
budget/admin.py
|
tejaser/budgetproject
|
3b4f2ef0827bd60cd4c8c6115b4c797d788ff6d6
|
[
"MIT"
] | null | null | null |
budget/admin.py
|
tejaser/budgetproject
|
3b4f2ef0827bd60cd4c8c6115b4c797d788ff6d6
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Project, Category, Expense
admin.site.register(Project)
admin.site.register(Category)
admin.site.register(Expense)
| 21.25
| 46
| 0.817647
| 23
| 170
| 6.043478
| 0.478261
| 0.194245
| 0.366906
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 170
| 7
| 47
| 24.285714
| 0.896774
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
62ea97bf01118f9f81170f9d19ad579ace9ef680
| 61
|
py
|
Python
|
tests/cli/public_ip_getter/__init__.py
|
hbontempo-br/ddns-manager
|
3d78ba540d433146fc61b4243c62a519830c1fb4
|
[
"MIT"
] | null | null | null |
tests/cli/public_ip_getter/__init__.py
|
hbontempo-br/ddns-manager
|
3d78ba540d433146fc61b4243c62a519830c1fb4
|
[
"MIT"
] | 15
|
2021-06-30T16:05:38.000Z
|
2021-07-11T16:14:29.000Z
|
tests/cli/public_ip_getter/__init__.py
|
hbontempo-br/ddns-manager
|
3d78ba540d433146fc61b4243c62a519830c1fb4
|
[
"MIT"
] | null | null | null |
from . import *
from .base_test import TestPublicIpGetterCLI
| 20.333333
| 44
| 0.819672
| 7
| 61
| 7
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131148
| 61
| 2
| 45
| 30.5
| 0.924528
| 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
|
1a16b81302622b76a53e32b131b2d01304d8df13
| 94
|
py
|
Python
|
subject/models.py
|
javb92/django_loona_school
|
aaf4d200b331061410a7d672c86682f7b6809d8e
|
[
"MIT"
] | null | null | null |
subject/models.py
|
javb92/django_loona_school
|
aaf4d200b331061410a7d672c86682f7b6809d8e
|
[
"MIT"
] | 5
|
2021-03-19T03:57:33.000Z
|
2021-09-22T19:10:12.000Z
|
subject/models.py
|
javb92/django_loona_school
|
aaf4d200b331061410a7d672c86682f7b6809d8e
|
[
"MIT"
] | null | null | null |
from django.db import models
from classroom.models import Subjects
# Create your models here.
| 23.5
| 37
| 0.819149
| 14
| 94
| 5.5
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138298
| 94
| 4
| 38
| 23.5
| 0.950617
| 0.255319
| 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
|
1a2926c1035b8a5358827defc2ff3eee09db97fb
| 116
|
py
|
Python
|
esercizi/DizionarioWhileNotWork.py
|
gdv/python-alfabetizzazione
|
d87561222de8a230db11d8529c49cf1702aec326
|
[
"MIT"
] | null | null | null |
esercizi/DizionarioWhileNotWork.py
|
gdv/python-alfabetizzazione
|
d87561222de8a230db11d8529c49cf1702aec326
|
[
"MIT"
] | null | null | null |
esercizi/DizionarioWhileNotWork.py
|
gdv/python-alfabetizzazione
|
d87561222de8a230db11d8529c49cf1702aec326
|
[
"MIT"
] | 1
|
2019-03-26T11:14:33.000Z
|
2019-03-26T11:14:33.000Z
|
diz = {'a': 7, 'b': 3.0 + 5, 'c': 'pippo', 'd': 2 +1j}
i = 0
while (i < len(diz)):
print diz[i]
i = i + 1
| 14.5
| 54
| 0.387931
| 24
| 116
| 1.875
| 0.708333
| 0.088889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101266
| 0.318966
| 116
| 7
| 55
| 16.571429
| 0.468354
| 0
| 0
| 0
| 0
| 0
| 0.078261
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.2
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c5033af8a92d82bb7985f44fe5d2392e20a1008d
| 3,220
|
py
|
Python
|
pytext/models/test/transformer_sentence_encoder_test.py
|
baronrustamov/pytext
|
9790943736e7c0ac53095be2e20177be6fc529a9
|
[
"BSD-3-Clause"
] | 6,199
|
2018-12-13T15:34:51.000Z
|
2022-03-26T04:08:58.000Z
|
pytext/models/test/transformer_sentence_encoder_test.py
|
baronrustamov/pytext
|
9790943736e7c0ac53095be2e20177be6fc529a9
|
[
"BSD-3-Clause"
] | 1,356
|
2018-12-13T15:50:33.000Z
|
2022-03-03T20:45:58.000Z
|
pytext/models/test/transformer_sentence_encoder_test.py
|
baronrustamov/pytext
|
9790943736e7c0ac53095be2e20177be6fc529a9
|
[
"BSD-3-Clause"
] | 842
|
2018-12-13T15:35:13.000Z
|
2022-03-23T13:27:00.000Z
|
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from pytext.models.representations.transformer_sentence_encoder import (
TransformerSentenceEncoder,
)
class TransformerSentenceEncoderTest(unittest.TestCase):
def setUp(self):
self.batch_size = 10
self.num_tokens = 20
self.embedding_dim = 1024
self.vocab_size = 1000
self.padding_idx = 0
self.num_encoder_layers = 6
# Generate a tensor of token ids as input tokens
self.tokens = (
torch.randint(5, 1000, (self.batch_size, self.num_tokens))
).long()
self.lengths = torch.tensor([self.num_tokens])
self.pad_mask = (torch.ones(self.batch_size, self.num_tokens)).long()
self.segment_labels = (torch.ones(self.batch_size, self.num_tokens)).long()
self.positions = None
def test_monolingual_transformer_sentence_encoder(self):
input_tuple = (self.tokens, self.pad_mask, self.segment_labels, self.positions)
sentence_encoder = TransformerSentenceEncoder.from_config(
TransformerSentenceEncoder.Config(
embedding_dim=self.embedding_dim,
num_encoder_layers=self.num_encoder_layers,
multilingual=False,
),
output_encoded_layers=True,
padding_idx=self.padding_idx,
vocab_size=self.vocab_size,
)
encoded_layers, pooled_outputs = sentence_encoder(input_tuple)
# Check sizes for pooled output
self.assertEqual(pooled_outputs.size()[0], self.batch_size)
self.assertEqual(pooled_outputs.size()[1], self.embedding_dim)
# Check sizes for encoded_layers
self.assertEqual(encoded_layers.__len__(), self.num_encoder_layers + 1)
self.assertEqual(encoded_layers[-1].size()[0], self.batch_size)
self.assertEqual(encoded_layers[-1].size()[1], self.num_tokens)
self.assertEqual(encoded_layers[-1].size()[2], self.embedding_dim)
def test_multilingual_transformer_sentence_encoder(self):
input_tuple = (self.tokens, self.pad_mask, self.segment_labels, self.positions)
sentence_encoder = TransformerSentenceEncoder.from_config(
TransformerSentenceEncoder.Config(
embedding_dim=self.embedding_dim,
num_encoder_layers=self.num_encoder_layers,
multilingual=True,
),
output_encoded_layers=True,
padding_idx=self.padding_idx,
vocab_size=self.vocab_size,
)
encoded_layers, pooled_outputs = sentence_encoder(input_tuple)
# Check sizes for pooled output
self.assertEqual(pooled_outputs.size()[0], self.batch_size)
self.assertEqual(pooled_outputs.size()[1], self.embedding_dim)
# Check sizes for encoded_layers
self.assertEqual(encoded_layers.__len__(), self.num_encoder_layers + 1)
self.assertEqual(encoded_layers[-1].size()[0], self.batch_size)
self.assertEqual(encoded_layers[-1].size()[1], self.num_tokens)
self.assertEqual(encoded_layers[-1].size()[2], self.embedding_dim)
| 39.268293
| 87
| 0.676087
| 375
| 3,220
| 5.528
| 0.224
| 0.087795
| 0.050169
| 0.108056
| 0.744814
| 0.744814
| 0.744814
| 0.744814
| 0.728413
| 0.728413
| 0
| 0.015267
| 0.227019
| 3,220
| 81
| 88
| 39.753086
| 0.817597
| 0.080435
| 0
| 0.551724
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.206897
| 1
| 0.051724
| false
| 0
| 0.051724
| 0
| 0.12069
| 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
|
c56d940885c03144f187f34d4f73fc565c0f12c8
| 96
|
py
|
Python
|
samtranslator/public/models.py
|
hawflau/serverless-application-model
|
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
|
[
"Apache-2.0"
] | 1,279
|
2020-08-25T03:33:15.000Z
|
2022-03-31T09:49:22.000Z
|
samtranslator/public/models.py
|
hawflau/serverless-application-model
|
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
|
[
"Apache-2.0"
] | 797
|
2020-08-24T23:30:05.000Z
|
2022-03-31T22:28:29.000Z
|
samtranslator/public/models.py
|
hawflau/serverless-application-model
|
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
|
[
"Apache-2.0"
] | 431
|
2020-08-27T20:47:26.000Z
|
2022-03-31T23:57:55.000Z
|
# flake8: noqa
from samtranslator.model.resource_policies import ResourcePolicies, PolicyTypes
| 24
| 79
| 0.854167
| 10
| 96
| 8.1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011494
| 0.09375
| 96
| 3
| 80
| 32
| 0.91954
| 0.125
| 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
|
9ac6507fc8b160f7e1dba50f40494dce11ee9948
| 16
|
py
|
Python
|
teste.py
|
Professor-Vanderson/DevOps-GTI
|
fd638f716eca6e8c48186b088fd96102c933537b
|
[
"Apache-2.0"
] | null | null | null |
teste.py
|
Professor-Vanderson/DevOps-GTI
|
fd638f716eca6e8c48186b088fd96102c933537b
|
[
"Apache-2.0"
] | null | null | null |
teste.py
|
Professor-Vanderson/DevOps-GTI
|
fd638f716eca6e8c48186b088fd96102c933537b
|
[
"Apache-2.0"
] | null | null | null |
print("DevOps")
| 8
| 15
| 0.6875
| 2
| 16
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 16
| 1
| 16
| 16
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0.375
| 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
|
b11235a3b6feaa743e632e08738cb6b1876dcc21
| 81
|
py
|
Python
|
jinahub/indexers/searcher/compound/FaissPostgresSearcher/tests/test_dummy.py
|
vivek2301/executors
|
8159681d68408ab8f797497bc3374be77e6ca392
|
[
"Apache-2.0"
] | null | null | null |
jinahub/indexers/searcher/compound/FaissPostgresSearcher/tests/test_dummy.py
|
vivek2301/executors
|
8159681d68408ab8f797497bc3374be77e6ca392
|
[
"Apache-2.0"
] | null | null | null |
jinahub/indexers/searcher/compound/FaissPostgresSearcher/tests/test_dummy.py
|
vivek2301/executors
|
8159681d68408ab8f797497bc3374be77e6ca392
|
[
"Apache-2.0"
] | null | null | null |
def test_dummy():
# required by CI, since the `tests` folder exists
pass
| 20.25
| 53
| 0.666667
| 12
| 81
| 4.416667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.246914
| 81
| 3
| 54
| 27
| 0.868852
| 0.580247
| 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
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
4920dbe0d3df736eb7e0b391b26ddc1f5687dc0c
| 159
|
py
|
Python
|
app/graph.py
|
asanoryu/dev_bg_neo4j_flask
|
c06883b6c136c47868c2597880cb85689e4f7a5b
|
[
"MIT"
] | null | null | null |
app/graph.py
|
asanoryu/dev_bg_neo4j_flask
|
c06883b6c136c47868c2597880cb85689e4f7a5b
|
[
"MIT"
] | null | null | null |
app/graph.py
|
asanoryu/dev_bg_neo4j_flask
|
c06883b6c136c47868c2597880cb85689e4f7a5b
|
[
"MIT"
] | null | null | null |
from py2neo import Graph
from app.config import GRAPH_PASSWORD, GRAPH_URL, GRAPH_USER
graph = Graph(GRAPH_URL, username=GRAPH_USER, password=GRAPH_PASSWORD)
| 26.5
| 70
| 0.830189
| 24
| 159
| 5.25
| 0.416667
| 0.174603
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007042
| 0.106918
| 159
| 5
| 71
| 31.8
| 0.880282
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.666667
| 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
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
493e03ade05ba9207cb35ffb445f89d363f89b01
| 128
|
py
|
Python
|
tracker/admin.py
|
arcanemachine/django-time-tracker
|
af810e187b0658bbeec528669524a4a186629529
|
[
"MIT"
] | null | null | null |
tracker/admin.py
|
arcanemachine/django-time-tracker
|
af810e187b0658bbeec528669524a4a186629529
|
[
"MIT"
] | null | null | null |
tracker/admin.py
|
arcanemachine/django-time-tracker
|
af810e187b0658bbeec528669524a4a186629529
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Activity, Timer
admin.site.register(Activity)
admin.site.register(Timer)
| 18.285714
| 35
| 0.8125
| 18
| 128
| 5.777778
| 0.555556
| 0.173077
| 0.326923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101563
| 128
| 6
| 36
| 21.333333
| 0.904348
| 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 | 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
| 0
| 0
|
0
| 5
|
497abb7f5861632a8ffbc708a849aebc2dce8112
| 183
|
py
|
Python
|
nosehipchat/test/test_nosehipchat.py
|
sleibman/nose-hipchat
|
2a81b29b2a43dd74c8f2312e4623351b548f1d0a
|
[
"MIT"
] | null | null | null |
nosehipchat/test/test_nosehipchat.py
|
sleibman/nose-hipchat
|
2a81b29b2a43dd74c8f2312e4623351b548f1d0a
|
[
"MIT"
] | null | null | null |
nosehipchat/test/test_nosehipchat.py
|
sleibman/nose-hipchat
|
2a81b29b2a43dd74c8f2312e4623351b548f1d0a
|
[
"MIT"
] | null | null | null |
import nose
class TestNoseHipChat(object):
def setup(self):
pass
def teardown(self):
pass
def passing_test(self):
nose.tools.assert_true(True)
| 14.076923
| 36
| 0.622951
| 22
| 183
| 5.090909
| 0.681818
| 0.142857
| 0.196429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.289617
| 183
| 12
| 37
| 15.25
| 0.861538
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 1
| 0.375
| false
| 0.375
| 0.125
| 0
| 0.625
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
497e7f9c4fedec47ccd0642470c27f5a521bfeb6
| 22,541
|
py
|
Python
|
reprowd/presenter/image.py
|
VHUCXAONG/reprowd
|
6eaa439dda1ae53fc6ea981ea2f585ec8320763c
|
[
"Apache-2.0"
] | 32
|
2016-09-06T05:24:14.000Z
|
2020-09-15T07:04:38.000Z
|
reprowd/presenter/image.py
|
VHUCXAONG/reprowd
|
6eaa439dda1ae53fc6ea981ea2f585ec8320763c
|
[
"Apache-2.0"
] | 1
|
2016-10-17T23:42:29.000Z
|
2016-10-23T21:35:20.000Z
|
reprowd/presenter/image.py
|
VHUCXAONG/reprowd
|
6eaa439dda1ae53fc6ea981ea2f585ec8320763c
|
[
"Apache-2.0"
] | 1
|
2018-04-04T22:01:23.000Z
|
2018-04-04T22:01:23.000Z
|
# -*- coding: utf-8 -*-
from reprowd.presenter.base import *
class ImageLabel (BasePresenter):
"""
ImageLabel is a presenter class direved from base presenter class. It is attacted with project.
ImageLabel basically is used for image label tasks.
In order to load the images correctly, the map function of set_presenter function should be
consistent with the picture format in Javascript part of template.
For example,
>>> map_func = lambda obj: {'url_b':obj}
this means the key of your image url in task info json is 'url_b', which will be passed to Javascript
part of template.
Thus, in pybossa.taskLoaded function of Javascript part. The key 'url_b' should be used to bind a
src attribute to a img tag.
>>> img.attr('src', task.info.url_b).css('height', 460);
"""
def __init__(self):
"""
Initialize a ImageLabel presenter for a project. Defaultly, question, project name, project shor_name and
project description are set as empty, "Image Labeling", "imglabel" and "Help us to label an image" respectively.
The template attribute is a string of HTML file, which is the content of presenter. For writing a new template,
check http://docs.pybossa.com/en/latest/user/tutorial.html#presenting-the-tasks-to-the-user.
>>> presenter = ImageLabel();
>>> presenter.set_name("Do you see a Human face in this picture?")
>>> crowddata = cc.CrowdData(object_list, table_name = "test") \\ #doctest: +SKIP
... .set_presenter(presenter, map_func)
>>> crowddata.presenter
<reprowd.presenter.image.ImageLabel object at 0x...>
"""
self.question = ""
self.name = "Image Labeling"
self.short_name = "imglabel"
self.description = "Help us to label an image"
self.template = """
<!--
Task DOM for loading the Flickr Images
It uses the class="skeleton" to identify the elements that belong to the
task.
-->
<div class="row skeleton"> <!-- Start Skeleton Row-->
<div class="col-md-6 "><!-- Start of Question and Submission DIV (column) -->
<h1 id="question"><span id="i18n_question">${question}</span></h1> <!-- The question will be loaded here -->
<div id="answer"> <!-- Start DIV for the submission buttons -->
<!-- If the user clicks this button, the saved answer will be value="yes"-->
<button class="btn btn-success btn-answer" value='Yes'><i class="icon icon-white icon-thumbs-up"></i> <span id="i18n_yes">Yes</span></button>
<!-- If the user clicks this button, the saved answer will be value="no"-->
<button class="btn btn-danger btn-answer" value='No'><i class="icon icon-white icon-thumbs-down"></i> No</button>
<!-- If the user clicks this button, the saved answer will be value="NoPhoto"-->
<button class="btn btn-answer" value='NoPhoto'><i class="icon icon-exclamation"></i> <span id="i18n_no_photo">No photo</span></button>
<!-- If the user clicks this button, the saved answer will be value="NotKnown"-->
<button class="btn btn-answer" value='NotKnown'><i class="icon icon-white icon-question-sign"></i> <span id="i18n_i_dont_know">I don't know</span></button>
</div><!-- End of DIV for the submission buttons -->
<!-- Feedback items for the user -->
<p><span id="i18n_working_task">You are working now on task:</span> <span id="task-id" class="label label-warning">#</span></p>
<p><span id="i18n_tasks_completed">You have completed:</span> <span id="done" class="label label-info"></span> <span id="i18n_tasks_from">tasks from</span>
<!-- Progress progress-bar for the user -->
<span id="total" class="label label-inverse"></span></p>
<div class="progress progress-striped">
<div id="progress" rel="tooltip" title="#" class="progress-bar" style="width: 0%;"></div>
</div>
<!--
This project uses Disqus to allow users to provide some feedback.
The next section includes a button that when a user clicks on it will
load the comments, if any, for the given task
-->
<div id="disqus_show_btn" style="margin-top:5px;">
<button class="btn btn-primary btn-lg btn-disqus" onclick="loadDisqus()"><i class="icon-comments"></i> <span id="i18n_show_comments">Show comments</span></button>
<button class="btn btn-lg btn-disqus" onclick="loadDisqus()" style="display:none"><i class="icon-comments"></i> <span id="i18n_hide_comments">Hide comments</span></button>
</div><!-- End of Disqus Button section -->
<!-- Disqus thread for the given task -->
<div id="disqus_thread" style="margin-top:5px;display:none"></div>
</div><!-- End of Question and Submission DIV (column) -->
<div class="col-md-6"><!-- Start of Photo DIV (column) -->
<a id="photo-link" href="#">
<img id="photo" src="http://i.imgur.com/GeHxzb7.png" style="max-width=100%">
</a>
</div><!-- End of Photo DIV (columnt) -->
</div><!-- End of Skeleton Row -->
<script type="text/javascript">
/* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR WEBPAGE * * */
/* * * DON'T EDIT BELOW THIS LINE * * */
function loadDisqus() {
$("#disqus_thread").toggle();
$(".btn-disqus").toggle();
var disqus_shortname = 'pybossa'; // required: replace example with your forum shortname
//var disqus_identifier = taskId;
var disqus_developer = 1;
(function() {
var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
dsq.src = 'http://' + disqus_shortname + '.disqus.com/embed.js';
(document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
})();
}
</script>
<noscript>Please enable JavaScript to view the <a href="http://disqus.com/?ref_noscript">comments powered by Disqus.</a></noscript>
<script type="text/javascript">
(function() {
// Default language
var userLocale = "en";
// Translations
var messages = {"en": {
"i18n_welldone": "Well done!",
"i18n_welldone_text": "Your answer has been saved",
"i18n_loading_next_task": "Loading next task...",
"i18n_task_completed": "The task has been completed!",
"i18n_thanks": "Thanks a lot!",
"i18n_congratulations": "Congratulations",
"i18n_congratulations_text": "You have participated in all available tasks!",
"i18n_yes": "Yes",
"i18n_no_photo": "No photo",
"i18n_i_dont_know": "I don't know",
"i18n_working_task": "You are working now on task:",
"i18n_tasks_completed": "You have completed:",
"i18n_tasks_from": "tasks from",
"i18n_show_comments": "Show comments:",
"i18n_hide_comments": "Hide comments:",
},
"es": {
"i18n_welldone": "Bien hecho!",
"i18n_welldone_text": "Tu respuesta ha sido guardada",
"i18n_loading_next_task": "Cargando la siguiente tarea...",
"i18n_task_completed": "La tarea ha sido completadas!",
"i18n_thanks": "Muchísimas gracias!",
"i18n_congratulations": "Enhorabuena",
"i18n_congratulations_text": "Has participado en todas las tareas disponibles!",
"i18n_yes": "Sí",
"i18n_no_photo": "No hay foto",
"i18n_i_dont_know": "No lo sé",
"i18n_working_task": "Estás trabajando en la tarea:",
"i18n_tasks_completed": "Has completado:",
"i18n_tasks_from": "tareas de",
"i18n_show_comments": "Mostrar comentarios",
"i18n_hide_comments": "Ocultar comentarios",
},
};
// Update userLocale with server side information
$(document).ready(function(){
userLocale = document.getElementById('PYBOSSA_USER_LOCALE').textContent.trim();
});
function i18n_translate() {
var ids = Object.keys(messages[userLocale])
for (i=0; i<ids.length; i++) {
console.log("Translating: " + ids[i]);
if (document.getElementById(ids[i])) {
document.getElementById(ids[i]).innerHTML = messages[userLocale][ids[i]];
}
}
}
function loadUserProgress() {
pybossa.userProgress('rm').done(function(data){
var pct = Math.round((data.done*100)/data.total);
$("#progress").css("width", pct.toString() +"%");
$("#progress").attr("title", pct.toString() + "% completed!");
$("#progress").tooltip({'placement': 'left'});
$("#total").text(data.total);
$("#done").text(data.done);
});
}
pybossa.taskLoaded(function(task, deferred) {
if ( !$.isEmptyObject(task) ) {
// load image from flickr
var img = $('<img />');
img.load(function() {
// continue as soon as the image is loaded
deferred.resolve(task);
pybossaNotify("", false, "loading");
});
img.attr('src', task.info.url_b).css('height', 460);
img.addClass('img-thumbnail');
task.info.image = img;
}
else {
deferred.resolve(task);
}
});
pybossa.presentTask(function(task, deferred) {
if ( !$.isEmptyObject(task) ) {
i18n_translate();
$('#photo-link').html('').append(task.info.image);
// $("#photo-link").attr("href", task.info.link);
$('#task-id').html(task.id);
$('.btn-answer').off('click').on('click', function(evt) {
var btn = $(this);
var answer = btn.attr("value");
if (typeof answer != 'undefined') {
pybossa.saveTask(task.id, answer).done(function() {
pybossaNotify("Loading picture...", true, "loading");
deferred.resolve();
});
if ($("#disqus_thread").is(":visible")) {
$('#disqus_thread').toggle();
$('.btn-disqus').toggle();
}
}
else {
pybossaNotify("Oops... Something went wrong.", true, "error");
}
});
pybossaNotify("Loading picture...", false, "loading");
}
else {
$(".skeleton").hide();
pybossaNotify("Loading picture...", false, "loading");
pybossaNotify("Thanks! You have participated in all available tasks. Enjoy some of your time!", true, "info");
}
});
pybossa.run('${short_name}');
})();
</script>
"""
class ImageCmp(BasePresenter):
"""
ImageCmp is a presenter class direved from base presenter class. It is attacted with project.
ImageCmp basically is used for a pair of images comparing tasks.
In order to load the images correctly, the map function of set_presenter function should be
consistent with the picture format in Javascript part of template.
For example,
>>> map_func = lambda obj: {'pic1': obj[0], 'pic2': obj[1]}
this means the keys of your images url in task info json are 'pic1' and 'pic2', which will be
passed to Javascript part of template.
Thus, in pybossa.taskLoaded function of Javascript part. The keys 'pic1' and 'pic2' should be
used to bind src attributes to two img tag2.
>>> img1.attr('src', task.info.pic1).css('height', 300);
>>> img2.attr('src', task.info.pic2).css('height', 300);
"""
def __init__(self):
"""
Initialize a ImageCmp presenter for a project. Defaultly, question, project name, project shor_name and
project description are set as empty, "Image Comparison", "imgcmp" and "Help us to compare images" respectively.
The template attribute is a string of HTML file, which is the content of presenter. For writing a new template,
check http://docs.pybossa.com/en/latest/user/tutorial.html#presenting-the-tasks-to-the-user.
>>> presenter = ImageCmp();
>>> presenter.set_name("Which picture is more beautiful?")
>>> crowddata = cc.CrowdData(object_list, table_name = "test") \\ #doctest: +SKIP
... .set_presenter(presenter, map_func)
>>> crowddata.presenter
<reprowd.presenter.image.ImageCmp object at 0x...>
"""
self.question = ""
self.name = "Image Comparison"
self.short_name = "imgcmp"
self.description = "Help us to compare images"
self.template = """
<!--
Task DOM for loading the Flickr Images
It uses the class="skeleton" to identify the elements that belong to the
task.
-->
<div class="row skeleton"> <!-- Start Skeleton Row-->
<div class="col-md-6 " style="width:100%;text-align:center;margin-left:auto;margin-right:auto"><!-- Start of Question and Submission DIV (column) -->
<h1 id="question"><span id="i18n_question">${question}</span></h1> <!-- The question will be loaded here -->
<br>
<div class="col-md-6" style="width:100%"><!-- Start of Photo DIV (column) -->
<a class="a-answer" id="photo-link1" href="#" value="left">
<img id="photo" style="float:left"src="http://i.imgur.com/GeHxzb7.png">
</a>
<a style="text-transform:none;text-decoration:none;font-size:50px"><b>OR</a>
<a class="a-answer" id="photo-link2" href="#" value="right">
<img id="photo" style="float:right" src="http://i.imgur.com/GeHxzb7.png">
</a>
</div><!-- End of Photo DIV (columnt) -->
</div>
</div><!-- End of Skeleton Row -->
<script type="text/javascript">
/* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR WEBPAGE * * */
/* * * DON'T EDIT BELOW THIS LINE * * */
function loadDisqus() {
$("#disqus_thread").toggle();
$(".btn-disqus").toggle();
var disqus_shortname = 'pybossa'; // required: replace example with your forum shortname
//var disqus_identifier = taskId;
var disqus_developer = 1;
(function() {
var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
dsq.src = 'http://' + disqus_shortname + '.disqus.com/embed.js';
(document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
})();
}
</script>
<noscript>Please enable JavaScript to view the <a href="http://disqus.com/?ref_noscript">comments powered by Disqus.</a></noscript>
<script type="text/javascript">
(function() {
// Default language
var userLocale = "en";
// Translations
var messages = {"en": {
"i18n_welldone": "Well done!",
"i18n_welldone_text": "Your answer has been saved",
"i18n_loading_next_task": "Loading next task...",
"i18n_task_completed": "The task has been completed!",
"i18n_thanks": "Thanks a lot!",
"i18n_congratulations": "Congratulations",
"i18n_congratulations_text": "You have participated in all available tasks!",
"i18n_yes": "Yes",
"i18n_no_photo": "No photo",
"i18n_i_dont_know": "I don't know",
"i18n_working_task": "You are working now on task:",
"i18n_tasks_completed": "You have completed:",
"i18n_tasks_from": "tasks from",
"i18n_show_comments": "Show comments:",
"i18n_hide_comments": "Hide comments:",
},
"es": {
"i18n_welldone": "Bien hecho!",
"i18n_welldone_text": "Tu respuesta ha sido guardada",
"i18n_loading_next_task": "Cargando la siguiente tarea...",
"i18n_task_completed": "La tarea ha sido completadas!",
"i18n_thanks": "Muchísimas gracias!",
"i18n_congratulations": "Enhorabuena",
"i18n_congratulations_text": "Has participado en todas las tareas disponibles!",
"i18n_yes": "Sí",
"i18n_no_photo": "No hay foto",
"i18n_i_dont_know": "No lo sé",
"i18n_working_task": "Estás trabajando en la tarea:",
"i18n_tasks_completed": "Has completado:",
"i18n_tasks_from": "tareas de",
"i18n_show_comments": "Mostrar comentarios",
"i18n_hide_comments": "Ocultar comentarios",
},
};
// Update userLocale with server side information
$(document).ready(function(){
userLocale = document.getElementById('PYBOSSA_USER_LOCALE').textContent.trim();
});
function i18n_translate() {
var ids = Object.keys(messages[userLocale])
for (i=0; i<ids.length; i++) {
console.log("Translating: " + ids[i]);
if (document.getElementById(ids[i])) {
document.getElementById(ids[i]).innerHTML = messages[userLocale][ids[i]];
}
}
}
function loadUserProgress() {
pybossa.userProgress('dd').done(function(data){
var pct = Math.round((data.done*100)/data.total);
$("#progress").css("width", pct.toString() +"%");
$("#progress").attr("title", pct.toString() + "% completed!");
$("#progress").tooltip({'placement': 'left'});
$("#total").text(data.total);
$("#done").text(data.done);
});
}
pybossa.taskLoaded(function(task, deferred) {
if ( !$.isEmptyObject(task) ) {
// load image from flickr
var img1 = $('<img />');
var img2 = $('<img />');
img1.load(function() {
// continue as soon as the image is loaded
deferred.resolve(task);
pybossaNotify("", false, "loading");
});
img1.attr('id','pic1');
img1.attr('src', task.info.pic1).css('height', 300);
img1.addClass('img-thumbnail');
img2.load(function() {
// continue as soon as the image is loaded
deferred.resolve(task);
pybossaNotify("", false, "loading");
});
img2.attr('id','pic2');
img2.attr('src', task.info.pic2).css('height', 300);
img2.addClass('img-thumbnail');
task.info.image1 = img1;
task.info.image2 = img2;
}
else {
deferred.resolve(task);
}
});
function sleep (time) {
return new Promise((resolve) => setTimeout(resolve, time));
}
pybossa.presentTask(function(task, deferred) {
if (!$.isEmptyObject(task)) {
// i18n_translate();
var whole_width = 500;
$('#photo-link1').html('').append(task.info.image1);
var image1 = $('#pic1');
image1.one('load', function(){
var img1_padding = ((whole_width - image1.width()) / 2).toString() + "px";
image1.css("background", "#000000");
image1.css("padding-left", img1_padding);
image1.css("padding-right", img1_padding);
}).each(function() {
if (this.complete) $(this).load();
});
$('#photo-link2').html('').append(task.info.image2);
var image2 = $('#pic2');
image2.one('load', function(){
var img2_padding = ((whole_width - image2.width()) / 2).toString() + "px";
image2.css("background", "#000000");
image2.css("padding-left", img2_padding);
image2.css("padding-right", img2_padding);
}).each(function() {
if (this.complete) $(this).load();
});
// $("#photo-link").attr("href", task.info.link);
$('#task-id').html(task.id);
$('.a-answer').off('click').on('click', function(evt) {
var btn = $(this);
var answer = btn.attr("value");
if (typeof answer != 'undefined') {
pybossa.saveTask(task.id, answer).done(function() {
pybossaNotify("Loading picture...", true, "loading");
deferred.resolve();
});
if ($("#disqus_thread").is(":visible")) {
$('#disqus_thread').toggle();
$('.btn-disqus').toggle();
}
console.log('finish answer');
}
else {
pybossaNotify("Oops... Something went wrong.", true, "error");
}
});
pybossaNotify("Loading picture...", false, "loading");
url = window.location.href;
index = url.indexOf(task.id.toString());
pre_id = task.id;
}
else {
url = window.location.href;
var url_list = url.split('/');
if (url_list[url_list.length - 1] == 'newtask') {
$(".skeleton").hide();
pybossaNotify("Loading picture...", false, "loading");
pybossaNotify("Thanks! You have participated in all available tasks. Enjoy some of your time!", true, "info");
return;
}
var new_url = url.substring(0, index) + (pre_id + 1).toString();
var query_url = url_list[0] + "//" + url_list[2]+ "/api/task/" + (pre_id + 1).toString();
var i = 0;
sleep(10000).then(() => {
$.get(query_url, function() {
window.location.href = new_url;
}).fail(function(){
$(".skeleton").hide();
pybossaNotify("Loading picture...", false, "loading");
pybossaNotify("Thanks! You have participated in all available tasks. Enjoy some of your time!", true, "info");
});
});
}
});
pybossa.run('${short_name}');
})();
</script>
"""
| 45.263052
| 183
| 0.557207
| 2,500
| 22,541
| 4.9396
| 0.1716
| 0.010365
| 0.008098
| 0.007288
| 0.793344
| 0.753502
| 0.727346
| 0.714633
| 0.690825
| 0.669447
| 0
| 0.018385
| 0.290582
| 22,541
| 497
| 184
| 45.354125
| 0.753862
| 0.13003
| 0
| 0.668342
| 0
| 0.067839
| 0.975745
| 0.26116
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005025
| false
| 0
| 0.002513
| 0
| 0.015075
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
772778323b600fd1a40a5a6fe431e3637b3ec57d
| 165
|
py
|
Python
|
covid19api.py
|
clambin/covid19mon
|
78a2f7144f4b15c707208115ea99bea772eb95f6
|
[
"MIT"
] | null | null | null |
covid19api.py
|
clambin/covid19mon
|
78a2f7144f4b15c707208115ea99bea772eb95f6
|
[
"MIT"
] | 1
|
2020-11-16T20:57:01.000Z
|
2020-11-16T20:57:01.000Z
|
covid19api.py
|
clambin/covid19mon
|
78a2f7144f4b15c707208115ea99bea772eb95f6
|
[
"MIT"
] | null | null | null |
from covid19.apiserver.apiserver import main
from covid19.apiserver.configuration import get_configuration
if __name__ == '__main__':
main(get_configuration())
| 27.5
| 61
| 0.812121
| 19
| 165
| 6.526316
| 0.473684
| 0.177419
| 0.322581
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027211
| 0.109091
| 165
| 5
| 62
| 33
| 0.816327
| 0
| 0
| 0
| 0
| 0
| 0.048485
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7728affc446017b4e60f4673080a507a14adba71
| 519
|
py
|
Python
|
flaskr/utils.py
|
NBens/TTS-Web
|
f3f961c9336946223778b8b041a48da3fa24289b
|
[
"BSD-2-Clause"
] | null | null | null |
flaskr/utils.py
|
NBens/TTS-Web
|
f3f961c9336946223778b8b041a48da3fa24289b
|
[
"BSD-2-Clause"
] | null | null | null |
flaskr/utils.py
|
NBens/TTS-Web
|
f3f961c9336946223778b8b041a48da3fa24289b
|
[
"BSD-2-Clause"
] | null | null | null |
from uuid import uuid4
from hashlib import md5
def generate_salt():
""" Generates a random string to use for password generation """
return uuid4().hex[:8].upper()
def generate_password_from_salt(salt, password):
string = salt + password + "KEY123"
return md5(string.encode('utf-8')).hexdigest()
def empty(string):
return not bool(string.strip())
def allowed_file(filename, allowed_extensions):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in allowed_extensions
| 30.529412
| 68
| 0.697495
| 69
| 519
| 5.144928
| 0.565217
| 0.061972
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025701
| 0.175337
| 519
| 17
| 69
| 30.529412
| 0.803738
| 0.1079
| 0
| 0
| 1
| 0
| 0.028509
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.166667
| 0.166667
| 0.166667
| 0.833333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
7750f30a9c31ade14b11e481d59cdf0afba23c25
| 285
|
py
|
Python
|
src/tsclient/myexceptions.py
|
joarndt/ts_telegram_bot
|
fa801f0350a9c0150d17703812a0ddf0100af8d3
|
[
"MIT"
] | 1
|
2019-04-21T19:31:29.000Z
|
2019-04-21T19:31:29.000Z
|
src/tsclient/myexceptions.py
|
joarndt/ts_telegram_bot
|
fa801f0350a9c0150d17703812a0ddf0100af8d3
|
[
"MIT"
] | null | null | null |
src/tsclient/myexceptions.py
|
joarndt/ts_telegram_bot
|
fa801f0350a9c0150d17703812a0ddf0100af8d3
|
[
"MIT"
] | null | null | null |
from socket import error
class TeamspeakConnectionError(error):
pass
class TeamspeakConnectionLost(TeamspeakConnectionError):
pass
class TeamspeakConnectionTelnetEOF(TeamspeakConnectionLost):
pass
class TeamspeakConnectionFailed(TeamspeakConnectionError):
pass
| 15.833333
| 60
| 0.817544
| 20
| 285
| 11.65
| 0.5
| 0.11588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 285
| 17
| 61
| 16.764706
| 0.95102
| 0
| 0
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.444444
| 0.111111
| 0
| 0.555556
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
624446c2c1b8bd55ee832e18fcd3a61d76f2ca58
| 9,426
|
py
|
Python
|
tests/integration/offer/condition_tests.py
|
endgame/django-oscar
|
e5d78436e20b55902537a6cc82edf4e22568f9d6
|
[
"BSD-3-Clause"
] | null | null | null |
tests/integration/offer/condition_tests.py
|
endgame/django-oscar
|
e5d78436e20b55902537a6cc82edf4e22568f9d6
|
[
"BSD-3-Clause"
] | null | null | null |
tests/integration/offer/condition_tests.py
|
endgame/django-oscar
|
e5d78436e20b55902537a6cc82edf4e22568f9d6
|
[
"BSD-3-Clause"
] | 1
|
2019-07-10T06:32:14.000Z
|
2019-07-10T06:32:14.000Z
|
from decimal import Decimal
from django.test import TestCase
from oscar.apps.offer import models
from oscar.apps.basket.models import Basket
from oscar_testsupport.factories import create_product
from tests.unit.offer import OfferTest
class TestCountCondition(OfferTest):
def setUp(self):
super(TestCountCondition, self).setUp()
self.condition = models.CountCondition(
range=self.range, type="Count", value=2)
def test_is_not_satified_by_empty_basket(self):
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_not_discountable_product_fails_condition(self):
prod1, prod2 = create_product(), create_product()
prod2.is_discountable = False
prod2.save()
self.basket.add_product(prod1)
self.basket.add_product(prod2)
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_empty_basket_fails_partial_condition(self):
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_smaller_quantity_basket_passes_partial_condition(self):
self.basket.add_product(create_product(), 1)
self.assertTrue(self.condition.is_partially_satisfied(self.basket))
def test_smaller_quantity_basket_upsell_message(self):
self.basket.add_product(create_product(), 1)
self.assertTrue('Buy 1 more product from ' in
self.condition.get_upsell_message(self.basket))
def test_matching_quantity_basket_fails_partial_condition(self):
self.basket.add_product(create_product(), 2)
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_matching_quantity_basket_passes_condition(self):
self.basket.add_product(create_product(), 2)
self.assertTrue(self.condition.is_satisfied(self.basket))
def test_greater_quantity_basket_passes_condition(self):
self.basket.add_product(create_product(), 3)
self.assertTrue(self.condition.is_satisfied(self.basket))
def test_consumption(self):
self.basket.add_product(create_product(), 3)
self.condition.consume_items(self.basket, [])
self.assertEquals(1, self.basket.all_lines()[0].quantity_without_discount)
def test_is_satisfied_accounts_for_consumed_items(self):
self.basket.add_product(create_product(), 3)
self.condition.consume_items(self.basket, [])
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_count_condition_is_applied_multpile_times(self):
benefit = models.AbsoluteDiscountBenefit(range=self.range, type="Absolute", value=Decimal('10.00'))
for i in range(10):
self.basket.add_product(create_product(price=Decimal('5.00'), upc='upc_%i' % i), 1)
product_range = models.Range.objects.create(name="All products", includes_all_products=True)
condition = models.CountCondition(range=product_range, type="Count", value=2)
first_discount = benefit.apply(self.basket, condition=condition)
self.assertEquals(Decimal('10.00'), first_discount)
second_discount = benefit.apply(self.basket, condition=condition)
self.assertEquals(Decimal('10.00'), second_discount)
class ValueConditionTest(OfferTest):
def setUp(self):
super(ValueConditionTest, self).setUp()
self.condition = models.ValueCondition(range=self.range, type="Value", value=Decimal('10.00'))
self.item = create_product(price=Decimal('5.00'))
self.expensive_item = create_product(price=Decimal('15.00'))
def test_empty_basket_fails_condition(self):
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_empty_basket_fails_partial_condition(self):
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_less_value_basket_fails_condition(self):
self.basket.add_product(self.item, 1)
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_not_discountable_item_fails_condition(self):
self.expensive_item.is_discountable = False
self.expensive_item.save()
self.basket.add_product(self.expensive_item, 1)
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_upsell_message(self):
self.basket.add_product(self.item, 1)
self.assertTrue('Spend' in self.condition.get_upsell_message(self.basket))
def test_matching_basket_fails_partial_condition(self):
self.basket.add_product(self.item, 2)
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_less_value_basket_passes_partial_condition(self):
self.basket.add_product(self.item, 1)
self.assertTrue(self.condition.is_partially_satisfied(self.basket))
def test_matching_basket_passes_condition(self):
self.basket.add_product(self.item, 2)
self.assertTrue(self.condition.is_satisfied(self.basket))
def test_greater_than_basket_passes_condition(self):
self.basket.add_product(self.item, 3)
self.assertTrue(self.condition.is_satisfied(self.basket))
def test_consumption(self):
self.basket.add_product(self.item, 3)
self.condition.consume_items(self.basket, [])
self.assertEquals(1, self.basket.all_lines()[0].quantity_without_discount)
def test_consumption_with_high_value_product(self):
self.basket.add_product(self.expensive_item, 1)
self.condition.consume_items(self.basket, [])
self.assertEquals(0, self.basket.all_lines()[0].quantity_without_discount)
def test_is_consumed_respects_quantity_consumed(self):
self.basket.add_product(self.expensive_item, 1)
self.assertTrue(self.condition.is_satisfied(self.basket))
self.condition.consume_items(self.basket, [])
self.assertFalse(self.condition.is_satisfied(self.basket))
class TestCoverageCondition(TestCase):
def setUp(self):
self.products = [create_product(Decimal('5.00')), create_product(Decimal('10.00'))]
self.range = models.Range.objects.create(name="Some products")
for product in self.products:
self.range.included_products.add(product)
self.range.included_products.add(product)
self.basket = Basket.objects.create()
self.condition = models.CoverageCondition(range=self.range, type="Coverage", value=2)
def test_empty_basket_fails(self):
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_empty_basket_fails_partial_condition(self):
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_single_item_fails(self):
self.basket.add_product(self.products[0])
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_not_discountable_item_fails(self):
self.products[0].is_discountable = False
self.products[0].save()
self.basket.add_product(self.products[0])
self.basket.add_product(self.products[1])
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_single_item_passes_partial_condition(self):
self.basket.add_product(self.products[0])
self.assertTrue(self.condition.is_partially_satisfied(self.basket))
def test_upsell_message(self):
self.basket.add_product(self.products[0])
self.assertTrue('Buy 1 more' in self.condition.get_upsell_message(self.basket))
def test_duplicate_item_fails(self):
self.basket.add_product(self.products[0])
self.basket.add_product(self.products[0])
self.assertFalse(self.condition.is_satisfied(self.basket))
def test_duplicate_item_passes_partial_condition(self):
self.basket.add_product(self.products[0], 2)
self.assertTrue(self.condition.is_partially_satisfied(self.basket))
def test_covering_items_pass(self):
self.basket.add_product(self.products[0])
self.basket.add_product(self.products[1])
self.assertTrue(self.condition.is_satisfied(self.basket))
def test_covering_items_fail_partial_condition(self):
self.basket.add_product(self.products[0])
self.basket.add_product(self.products[1])
self.assertFalse(self.condition.is_partially_satisfied(self.basket))
def test_covering_items_are_consumed(self):
self.basket.add_product(self.products[0])
self.basket.add_product(self.products[1])
self.condition.consume_items(self.basket, [])
self.assertEquals(0, self.basket.num_items_without_discount)
def test_consumed_items_checks_affected_items(self):
# Create new offer
range = models.Range.objects.create(name="All products", includes_all_products=True)
cond = models.CoverageCondition(range=range, type="Coverage", value=2)
# Get 4 distinct products in the basket
self.products.extend(
[create_product(Decimal('15.00')), create_product(Decimal('20.00'))])
for product in self.products:
self.basket.add_product(product)
self.assertTrue(cond.is_satisfied(self.basket))
cond.consume_items(self.basket, [])
self.assertEquals(2, self.basket.num_items_without_discount)
self.assertTrue(cond.is_satisfied(self.basket))
cond.consume_items(self.basket, [])
self.assertEquals(0, self.basket.num_items_without_discount)
| 43.437788
| 107
| 0.728305
| 1,203
| 9,426
| 5.456359
| 0.103907
| 0.127971
| 0.069317
| 0.106642
| 0.787782
| 0.739336
| 0.705667
| 0.683577
| 0.683577
| 0.659811
| 0
| 0.012686
| 0.163696
| 9,426
| 216
| 108
| 43.638889
| 0.819992
| 0.005729
| 0
| 0.521472
| 0
| 0
| 0.018465
| 0
| 0
| 0
| 0
| 0
| 0.245399
| 1
| 0.233129
| false
| 0.055215
| 0.03681
| 0
| 0.288344
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 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
|
6263dc7a04dca494c0d233ba04943ba23a2e6977
| 1,977
|
py
|
Python
|
test/test_extractor.py
|
Usama0121/flashtext
|
04f6da5ddef290d780f31ecc3563c161fd2a2c70
|
[
"MIT"
] | 5,330
|
2017-08-22T08:19:43.000Z
|
2022-03-31T06:17:29.000Z
|
test/test_extractor.py
|
Usama0121/flashtext
|
04f6da5ddef290d780f31ecc3563c161fd2a2c70
|
[
"MIT"
] | 119
|
2017-08-20T11:42:54.000Z
|
2022-03-26T15:31:56.000Z
|
test/test_extractor.py
|
Usama0121/flashtext
|
04f6da5ddef290d780f31ecc3563c161fd2a2c70
|
[
"MIT"
] | 666
|
2017-09-02T04:04:46.000Z
|
2022-03-31T06:17:24.000Z
|
from flashtext import KeywordProcessor
import logging
import unittest
import json
logger = logging.getLogger(__name__)
class TestKeywordExtractor(unittest.TestCase):
def setUp(self):
logger.info("Starting...")
with open('test/keyword_extractor_test_cases.json') as f:
self.test_cases = json.load(f)
def tearDown(self):
logger.info("Ending.")
def test_extract_keywords(self):
"""For each of the test case initialize a new KeywordProcessor.
Add the keywords the test case to KeywordProcessor.
Extract keywords and check if they match the expected result for the test case.
"""
for test_id, test_case in enumerate(self.test_cases):
keyword_processor = KeywordProcessor()
keyword_processor.add_keywords_from_dict(test_case['keyword_dict'])
keywords_extracted = keyword_processor.extract_keywords(test_case['sentence'])
self.assertEqual(keywords_extracted, test_case['keywords'],
"keywords_extracted don't match the expected results for test case: {}".format(test_id))
def test_extract_keywords_case_sensitive(self):
"""For each of the test case initialize a new KeywordProcessor.
Add the keywords the test case to KeywordProcessor.
Extract keywords and check if they match the expected result for the test case.
"""
for test_id, test_case in enumerate(self.test_cases):
keyword_processor = KeywordProcessor(case_sensitive=True)
keyword_processor.add_keywords_from_dict(test_case['keyword_dict'])
keywords_extracted = keyword_processor.extract_keywords(test_case['sentence'])
self.assertEqual(keywords_extracted, test_case['keywords_case_sensitive'],
"keywords_extracted don't match the expected results for test case: {}".format(test_id))
if __name__ == '__main__':
unittest.main()
| 42.978261
| 117
| 0.693981
| 238
| 1,977
| 5.508403
| 0.264706
| 0.097635
| 0.050343
| 0.033562
| 0.713959
| 0.713959
| 0.713959
| 0.713959
| 0.713959
| 0.713959
| 0
| 0
| 0.227618
| 1,977
| 45
| 118
| 43.933333
| 0.858546
| 0.19474
| 0
| 0.285714
| 0
| 0
| 0.178548
| 0.039895
| 0
| 0
| 0
| 0
| 0.071429
| 1
| 0.142857
| false
| 0
| 0.142857
| 0
| 0.321429
| 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
|
6553d7d3aa60c9705dc22356329ea7bffa951bbd
| 241
|
py
|
Python
|
Python/benchmark/tests/test_perfect_number.py
|
kkirstein/proglang-playground
|
d00be09ba2bb2351c6f5287cc4d93fcaf21f75fd
|
[
"MIT"
] | null | null | null |
Python/benchmark/tests/test_perfect_number.py
|
kkirstein/proglang-playground
|
d00be09ba2bb2351c6f5287cc4d93fcaf21f75fd
|
[
"MIT"
] | null | null | null |
Python/benchmark/tests/test_perfect_number.py
|
kkirstein/proglang-playground
|
d00be09ba2bb2351c6f5287cc4d93fcaf21f75fd
|
[
"MIT"
] | null | null | null |
from benchmark.perfect_number import is_perfect
def test_is_perfect():
assert not is_perfect(1)
assert not is_perfect(2)
assert is_perfect(6)
assert not is_perfect(7)
assert not is_perfect(27)
assert is_perfect(28)
| 21.909091
| 47
| 0.73444
| 39
| 241
| 4.282051
| 0.410256
| 0.431138
| 0.263473
| 0.431138
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041451
| 0.19917
| 241
| 10
| 48
| 24.1
| 0.823834
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.75
| 1
| 0.125
| true
| 0
| 0.125
| 0
| 0.25
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
659875c1fe394f58f78c5d0cb55737044fa71350
| 173
|
py
|
Python
|
pybotters/models/experimental/__init__.py
|
maruuuui/pybotters
|
87adfef67ccd8b1c1782156a093be7f74cde5581
|
[
"MIT"
] | 176
|
2021-03-24T14:48:56.000Z
|
2022-03-29T19:12:34.000Z
|
pybotters/models/experimental/__init__.py
|
maruuuui/pybotters
|
87adfef67ccd8b1c1782156a093be7f74cde5581
|
[
"MIT"
] | 119
|
2021-03-25T03:04:26.000Z
|
2022-03-31T16:23:36.000Z
|
pybotters/models/experimental/__init__.py
|
maruuuui/pybotters
|
87adfef67ccd8b1c1782156a093be7f74cde5581
|
[
"MIT"
] | 47
|
2021-03-25T02:53:55.000Z
|
2022-03-24T13:27:13.000Z
|
from typing import Tuple
from .bybit import BybitInverseDataStore, BybitUSDTDataStore
__all__: Tuple[str, ...] = (
'BybitInverseDataStore',
'BybitUSDTDataStore',
)
| 21.625
| 60
| 0.745665
| 14
| 173
| 8.928571
| 0.642857
| 0.624
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150289
| 173
| 7
| 61
| 24.714286
| 0.85034
| 0
| 0
| 0
| 0
| 0
| 0.225434
| 0.121387
| 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
|
659956f98881db45b8892be7e25773ce42f2ec38
| 193
|
py
|
Python
|
output/models/sun_data/elem_decl/name/name008/name00802/name00802_xsd/__init__.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | 1
|
2021-08-14T17:59:21.000Z
|
2021-08-14T17:59:21.000Z
|
output/models/sun_data/elem_decl/name/name008/name00802/name00802_xsd/__init__.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | 4
|
2020-02-12T21:30:44.000Z
|
2020-04-15T20:06:46.000Z
|
output/models/sun_data/elem_decl/name/name008/name00802/name00802_xsd/__init__.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | null | null | null |
from output.models.sun_data.elem_decl.name.name008.name00802.name00802_xsd.name00802 import (
A1234561,
A1234562,
Root,
)
__all__ = [
"A1234561",
"A1234562",
"Root",
]
| 16.083333
| 93
| 0.663212
| 21
| 193
| 5.761905
| 0.761905
| 0.264463
| 0.330579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.300654
| 0.207254
| 193
| 11
| 94
| 17.545455
| 0.490196
| 0
| 0
| 0
| 0
| 0
| 0.103627
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
|
65b9d2ea48d0079c7d56f6723665dd93e2a46d1f
| 28
|
py
|
Python
|
main/views/share/error/__init__.py
|
tiberiucorbu/av-website
|
f26f44a367d718316442506b130a7034697670b8
|
[
"MIT"
] | null | null | null |
main/views/share/error/__init__.py
|
tiberiucorbu/av-website
|
f26f44a367d718316442506b130a7034697670b8
|
[
"MIT"
] | null | null | null |
main/views/share/error/__init__.py
|
tiberiucorbu/av-website
|
f26f44a367d718316442506b130a7034697670b8
|
[
"MIT"
] | null | null | null |
from error_handler import *
| 14
| 27
| 0.821429
| 4
| 28
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 1
| 28
| 28
| 0.916667
| 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
|
65db799da501e72e268e0570a32422a4b5b34de7
| 24
|
py
|
Python
|
asn1tools/version.py
|
cromulencellc/asn1tools
|
30eb88e287cc1616903858aa96ee8791a4d7bf1c
|
[
"MIT"
] | null | null | null |
asn1tools/version.py
|
cromulencellc/asn1tools
|
30eb88e287cc1616903858aa96ee8791a4d7bf1c
|
[
"MIT"
] | null | null | null |
asn1tools/version.py
|
cromulencellc/asn1tools
|
30eb88e287cc1616903858aa96ee8791a4d7bf1c
|
[
"MIT"
] | null | null | null |
__version__ = '0.161.0'
| 12
| 23
| 0.666667
| 4
| 24
| 3
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 0.125
| 24
| 1
| 24
| 24
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0.291667
| 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
|
65e25a46e30e9a1a14bfdc8ed75a6410288196f0
| 249
|
py
|
Python
|
phy/cluster/__init__.py
|
fjflores/phy
|
eb068da48521060f8de45a2c546658015f9515dd
|
[
"BSD-3-Clause"
] | 118
|
2019-06-03T06:19:43.000Z
|
2022-03-25T00:05:26.000Z
|
phy/cluster/__init__.py
|
fjflores/phy
|
eb068da48521060f8de45a2c546658015f9515dd
|
[
"BSD-3-Clause"
] | 761
|
2015-01-08T11:17:41.000Z
|
2019-05-27T16:12:08.000Z
|
phy/cluster/__init__.py
|
fjflores/phy
|
eb068da48521060f8de45a2c546658015f9515dd
|
[
"BSD-3-Clause"
] | 70
|
2019-05-30T11:05:26.000Z
|
2022-03-30T11:51:23.000Z
|
# -*- coding: utf-8 -*-
# flake8: noqa
"""Manual clustering facilities."""
from ._utils import ClusterMeta, UpdateInfo
from .clustering import Clustering
from .supervisor import Supervisor, ClusterView, SimilarityView
from .views import * # noqa
| 24.9
| 63
| 0.751004
| 27
| 249
| 6.888889
| 0.62963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009346
| 0.140562
| 249
| 9
| 64
| 27.666667
| 0.859813
| 0.281125
| 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
|
65e7eecdff3372f3f23fd4aeaa1cb08ac1749f87
| 270
|
py
|
Python
|
app/admin/__init__.py
|
codacy-badger/FASTFOODFAST-API
|
3ddb2715dd2b19bf0eae823b5a17c3a01e963a53
|
[
"MIT"
] | 1
|
2018-10-05T12:36:17.000Z
|
2018-10-05T12:36:17.000Z
|
app/admin/__init__.py
|
codacy-badger/FASTFOODFAST-API
|
3ddb2715dd2b19bf0eae823b5a17c3a01e963a53
|
[
"MIT"
] | 1
|
2018-09-06T17:06:27.000Z
|
2018-09-06T20:39:59.000Z
|
app/admin/__init__.py
|
codacy-badger/FASTFOODFAST-API
|
3ddb2715dd2b19bf0eae823b5a17c3a01e963a53
|
[
"MIT"
] | 8
|
2018-09-10T12:04:58.000Z
|
2020-08-06T17:57:12.000Z
|
from flask import Blueprint
from .admin_views import Foods, SpecificOrder, SpecificFoodItem, AcceptFoodOrders, AcceptedOrders, RejectFoodOrders, CompletedOrders, CompleteFoodOrders, GetOrders, OrderHistoryForSpecificUser
admin_blueprint = Blueprint("admin", __name__)
| 45
| 192
| 0.855556
| 23
| 270
| 9.782609
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085185
| 270
| 5
| 193
| 54
| 0.910931
| 0
| 0
| 0
| 0
| 0
| 0.018519
| 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
|
02aa83396d54d20ab7d98728030e3a1d0ad67ae1
| 426
|
py
|
Python
|
swagger_server/models/__init__.py
|
espretto/demo-garage
|
1cb7a5a56838d565f9dfb8d1b7ce39ed58fe179d
|
[
"MIT"
] | null | null | null |
swagger_server/models/__init__.py
|
espretto/demo-garage
|
1cb7a5a56838d565f9dfb8d1b7ce39ed58fe179d
|
[
"MIT"
] | null | null | null |
swagger_server/models/__init__.py
|
espretto/demo-garage
|
1cb7a5a56838d565f9dfb8d1b7ce39ed58fe179d
|
[
"MIT"
] | null | null | null |
# coding: utf-8
# flake8: noqa
from __future__ import absolute_import
# import models into model package
from swagger_server.models.api_response import ApiResponse
from swagger_server.models.car import Car
from swagger_server.models.car_detail import CarDetail
from swagger_server.models.car_update import CarUpdate
from swagger_server.models.garage import Garage
from swagger_server.models.garage_detail import GarageDetail
| 35.5
| 60
| 0.861502
| 61
| 426
| 5.770492
| 0.409836
| 0.1875
| 0.289773
| 0.392045
| 0.386364
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005195
| 0.096244
| 426
| 11
| 61
| 38.727273
| 0.909091
| 0.138498
| 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
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
f319c13606232fd61dd1a221c930f8aafe4cc58d
| 64
|
py
|
Python
|
social_auth/backends/contrib/flickr.py
|
merutak/django-social-auth
|
3a6e4414da0e969fcaf625a891852a3b2d7627c0
|
[
"BSD-2-Clause",
"BSD-3-Clause"
] | 863
|
2015-01-01T00:42:07.000Z
|
2022-03-30T02:47:18.000Z
|
social_auth/backends/contrib/flickr.py
|
merutak/django-social-auth
|
3a6e4414da0e969fcaf625a891852a3b2d7627c0
|
[
"BSD-2-Clause",
"BSD-3-Clause"
] | 101
|
2015-01-08T00:28:16.000Z
|
2022-03-07T03:11:19.000Z
|
social_auth/backends/contrib/flickr.py
|
merutak/django-social-auth
|
3a6e4414da0e969fcaf625a891852a3b2d7627c0
|
[
"BSD-2-Clause",
"BSD-3-Clause"
] | 256
|
2015-01-02T16:55:36.000Z
|
2022-03-04T11:10:47.000Z
|
from social.backends.flickr import FlickrOAuth as FlickrBackend
| 32
| 63
| 0.875
| 8
| 64
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 64
| 1
| 64
| 64
| 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
|
b83a9cbe865961405104f5d9a80258680dae0522
| 815
|
py
|
Python
|
modules/nltk_contrib/classifier/basicimports.py
|
h4ck3rm1k3/NLP-project
|
aeba6302f60d27a8b9e65ad28d2d74e1276c7cd6
|
[
"MIT"
] | 123
|
2015-01-06T10:46:18.000Z
|
2022-02-01T10:05:16.000Z
|
nltk_contrib/classifier/basicimports.py
|
silky/nltk_contrib
|
c152bde901f05915e90b07a615b232adb123bed8
|
[
"Apache-2.0"
] | 12
|
2015-01-13T06:27:18.000Z
|
2020-07-30T23:00:41.000Z
|
nltk_contrib/classifier/basicimports.py
|
silky/nltk_contrib
|
c152bde901f05915e90b07a615b232adb123bed8
|
[
"Apache-2.0"
] | 114
|
2015-01-13T04:47:49.000Z
|
2021-11-13T08:16:02.000Z
|
from nltk_contrib.classifier.attribute import Attribute, Attributes
from nltk_contrib.classifier.confusionmatrix import ConfusionMatrix
from nltk_contrib.classifier.decisionstump import DecisionStump
from nltk_contrib.classifier.decisiontree import DecisionTree
from nltk_contrib.classifier.featureselect import FeatureSelection
from nltk_contrib.classifier.discretise import Discretiser
from nltk_contrib.classifier.instances import TrainingInstances, TestInstances, GoldInstances
from nltk_contrib.classifier.instance import TrainingInstance, TestInstance, GoldInstance
from nltk_contrib.classifier.knn import IB1
from nltk_contrib.classifier.naivebayes import NaiveBayes
from nltk_contrib.classifier.oner import OneR
from nltk_contrib.classifier.zeror import ZeroR
from nltk_contrib.classifier.format import c45
| 58.214286
| 93
| 0.892025
| 96
| 815
| 7.4375
| 0.302083
| 0.145658
| 0.273109
| 0.455182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003958
| 0.069939
| 815
| 13
| 94
| 62.692308
| 0.937995
| 0
| 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
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
b87449c981f4c82bb7439639d1ae0ac7633d9a80
| 215
|
py
|
Python
|
operations/Annotation/Database.py
|
BioGRID/CUP-LIMS
|
5901e0a3e4d804483669c00cc6f904bf7f181dbc
|
[
"MIT"
] | 2
|
2017-01-15T09:28:49.000Z
|
2020-06-19T10:54:41.000Z
|
operations/ViewGenerator/Database.py
|
BioGRID/ORCA
|
5901e0a3e4d804483669c00cc6f904bf7f181dbc
|
[
"MIT"
] | 27
|
2017-02-01T08:06:41.000Z
|
2017-03-31T08:24:31.000Z
|
operations/sgRNAProcessing/Database.py
|
BioGRID/CUP-LIMS
|
5901e0a3e4d804483669c00cc6f904bf7f181dbc
|
[
"MIT"
] | 2
|
2016-10-29T05:45:43.000Z
|
2017-03-22T22:29:16.000Z
|
# Basic Database Connection Setup
import MySQLdb
import MySQLdb.cursors
import Config
db = MySQLdb.connect( Config.DB_HOST, Config.DB_USER, Config.DB_PASS, Config.DB_MAIN, cursorclass=MySQLdb.cursors.DictCursor )
| 26.875
| 126
| 0.818605
| 30
| 215
| 5.733333
| 0.533333
| 0.232558
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102326
| 215
| 8
| 126
| 26.875
| 0.891192
| 0.144186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.25
| 0.75
| 0
| 0.75
| 0
| 0
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
b89578438faa87607b6e0a6bf07c1e5a22487b85
| 147
|
py
|
Python
|
4_Data_Driven_Testing/Iterators/generator_test.py
|
turovod/Otus
|
57433c6944bca155177b07ff361139ff30f7f692
|
[
"MIT"
] | null | null | null |
4_Data_Driven_Testing/Iterators/generator_test.py
|
turovod/Otus
|
57433c6944bca155177b07ff361139ff30f7f692
|
[
"MIT"
] | null | null | null |
4_Data_Driven_Testing/Iterators/generator_test.py
|
turovod/Otus
|
57433c6944bca155177b07ff361139ff30f7f692
|
[
"MIT"
] | null | null | null |
def ddd():
for i in 'fasdffghdfghjhfgj':
yield i
a = ddd()
print(next(a))
print(next(a))
print(next(a))
print(next(a))
print(next(a))
| 13.363636
| 33
| 0.605442
| 25
| 147
| 3.56
| 0.4
| 0.505618
| 0.561798
| 0.674157
| 0.561798
| 0.561798
| 0.561798
| 0.561798
| 0.561798
| 0.561798
| 0
| 0
| 0.197279
| 147
| 10
| 34
| 14.7
| 0.754237
| 0
| 0
| 0.555556
| 0
| 0
| 0.115646
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0
| 0
| 0.111111
| 0.555556
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
b89a8e04b826c791daa8236fa21d9d57e69ac96a
| 125
|
py
|
Python
|
IFSensor/api/v1/manage.py
|
andrevdl/IFSensor
|
f77059f7e0c49e3ba39a524a6918206d203153b9
|
[
"MIT"
] | null | null | null |
IFSensor/api/v1/manage.py
|
andrevdl/IFSensor
|
f77059f7e0c49e3ba39a524a6918206d203153b9
|
[
"MIT"
] | null | null | null |
IFSensor/api/v1/manage.py
|
andrevdl/IFSensor
|
f77059f7e0c49e3ba39a524a6918206d203153b9
|
[
"MIT"
] | null | null | null |
from flask.views import MethodView
class ManageAPI(MethodView):
def get(self, action):
return {"action": action}
| 25
| 34
| 0.704
| 15
| 125
| 5.866667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192
| 125
| 5
| 35
| 25
| 0.871287
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
b8a5f8ec8fc4c51ab418278daec0e6e3966e8a23
| 81
|
py
|
Python
|
poc-env.py
|
jmmorlesin/docker-python
|
1ed87741572ec4550e5270760b6a021b66ca9c88
|
[
"MIT"
] | null | null | null |
poc-env.py
|
jmmorlesin/docker-python
|
1ed87741572ec4550e5270760b6a021b66ca9c88
|
[
"MIT"
] | 1
|
2021-06-01T23:50:30.000Z
|
2021-06-01T23:50:30.000Z
|
poc-env.py
|
jmmorlesin/docker-python
|
1ed87741572ec4550e5270760b6a021b66ca9c88
|
[
"MIT"
] | null | null | null |
import os
print('Environment variable value: {}'.format(os.environ['ENV_VAR']))
| 20.25
| 69
| 0.728395
| 11
| 81
| 5.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08642
| 81
| 3
| 70
| 27
| 0.783784
| 0
| 0
| 0
| 0
| 0
| 0.45679
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 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
| 0
| 1
|
0
| 5
|
b22a5e5333e6ad9eff813a58535b4e68018ad681
| 84
|
py
|
Python
|
src/algebra.py
|
alex-knaub/math-adventures-python
|
dd1c763289b64658342441a6762ea2584e2e448d
|
[
"MIT"
] | null | null | null |
src/algebra.py
|
alex-knaub/math-adventures-python
|
dd1c763289b64658342441a6762ea2584e2e448d
|
[
"MIT"
] | null | null | null |
src/algebra.py
|
alex-knaub/math-adventures-python
|
dd1c763289b64658342441a6762ea2584e2e448d
|
[
"MIT"
] | null | null | null |
def equation(a, b, c, d):
return (d - b) / (a - c)
print(equation(2, 5, 0, 13))
| 21
| 28
| 0.511905
| 17
| 84
| 2.529412
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.079365
| 0.25
| 84
| 4
| 29
| 21
| 0.603175
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0.333333
| 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
|
a2592904573824f2699f09291c431e78e748e9b5
| 17,201
|
py
|
Python
|
project/annotations/tests/test_misc.py
|
beijbom/coralnet
|
c3f4a44eeb60cb41a079329a0068dc8b34096e89
|
[
"BSD-2-Clause"
] | 31
|
2019-12-08T14:22:52.000Z
|
2021-12-27T04:58:12.000Z
|
project/annotations/tests/test_misc.py
|
beijbom/coralnet
|
c3f4a44eeb60cb41a079329a0068dc8b34096e89
|
[
"BSD-2-Clause"
] | 193
|
2019-12-07T23:27:43.000Z
|
2022-03-05T08:05:46.000Z
|
project/annotations/tests/test_misc.py
|
beijbom/coralnet
|
c3f4a44eeb60cb41a079329a0068dc8b34096e89
|
[
"BSD-2-Clause"
] | null | null | null |
import math
from unittest import skip
from bs4 import BeautifulSoup
from django.urls import reverse
from annotations.model_utils import AnnotationAreaUtils
from annotations.tasks import update_sitewide_annotation_count_task
from annotations.utils import get_sitewide_annotation_count
from images.model_utils import PointGen
from lib.tests.utils import BasePermissionTest, ClientTest
class PermissionTest(BasePermissionTest):
"""
Test page and Ajax-submit permissions for misc. views.
"""
def test_annotation_area_edit(self):
img = self.upload_image(self.user, self.source)
url = reverse('annotation_area_edit', args=[img.pk])
template = 'annotations/annotation_area_edit.html'
self.source_to_private()
self.assertPermissionLevel(
url, self.SOURCE_EDIT, template=template)
self.source_to_public()
self.assertPermissionLevel(
url, self.SOURCE_EDIT, template=template)
class SitewideAnnotationCountTest(ClientTest):
"""
Test the task which computes the site-wide annotation count.
"""
@classmethod
def setUpTestData(cls):
super().setUpTestData()
cls.user = cls.create_user()
cls.source = cls.create_source(cls.user)
labels = cls.create_labels(cls.user, ['A', 'B'], "Group1")
cls.create_labelset(cls.user, cls.source, labels)
cls.img = cls.upload_image(cls.user, cls.source)
cls.add_annotations(cls.user, cls.img, {1: 'A', 2: 'B', 3: 'A'})
def test_set_on_demand(self):
self.assertEqual(get_sitewide_annotation_count(), 3)
def test_set_in_advance(self):
update_sitewide_annotation_count_task.delay()
self.assertEqual(get_sitewide_annotation_count(), 3)
def test_set_then_update(self):
update_sitewide_annotation_count_task.delay()
self.assertEqual(get_sitewide_annotation_count(), 3)
self.add_annotations(self.user, self.img, {4: 'B'})
update_sitewide_annotation_count_task.delay()
self.assertEqual(get_sitewide_annotation_count(), 4)
def test_caching(self):
update_sitewide_annotation_count_task.delay()
self.assertEqual(get_sitewide_annotation_count(), 3)
self.add_annotations(self.user, self.img, {4: 'B'})
self.assertEqual(get_sitewide_annotation_count(), 3)
class AnnotationAreaEditTest(ClientTest):
"""
Test the annotation area edit page.
"""
@classmethod
def setUpTestData(cls):
super().setUpTestData()
cls.user = cls.create_user()
cls.source = cls.create_source(
cls.user, min_x=19, max_x=62, min_y=7, max_y=90.2)
cls.img = cls.upload_image(
cls.user, cls.source, image_options=dict(width=40, height=50))
cls.url = reverse('annotation_area_edit', args=[cls.img.pk])
def test_load_page_with_source_annotation_area(self):
self.client.force_login(self.user)
response = self.client.get(self.url)
response_soup = BeautifulSoup(response.content, 'html.parser')
self.assertEqual(
'7',
response_soup.find('input', dict(name='min_x')).attrs.get('value'))
self.assertEqual(
'24',
response_soup.find('input', dict(name='max_x')).attrs.get('value'))
self.assertEqual(
'3',
response_soup.find('input', dict(name='min_y')).attrs.get('value'))
self.assertEqual(
'45',
response_soup.find('input', dict(name='max_y')).attrs.get('value'))
def test_load_page_with_image_specific_annotation_area(self):
# Set an image specific annotation area
self.client.force_login(self.user)
self.client.post(
self.url, data=dict(min_x=8, max_x=36, min_y=0, max_y=18))
# Ensure it's loaded on the next visit
response = self.client.get(self.url)
response_soup = BeautifulSoup(response.content, 'html.parser')
self.assertEqual(
'8',
response_soup.find('input', dict(name='min_x')).attrs.get('value'))
self.assertEqual(
'36',
response_soup.find('input', dict(name='max_x')).attrs.get('value'))
self.assertEqual(
'0',
response_soup.find('input', dict(name='min_y')).attrs.get('value'))
self.assertEqual(
'18',
response_soup.find('input', dict(name='max_y')).attrs.get('value'))
def test_change_annotation_area(self):
self.client.force_login(self.user)
response = self.client.post(
self.url, data=dict(min_x=8, max_x=36, min_y=0, max_y=18),
follow=True)
self.assertContains(response, "Annotation area successfully edited.")
self.img.metadata.refresh_from_db()
self.assertEqual(
self.img.metadata.annotation_area,
AnnotationAreaUtils.pixels_to_db_format(8, 36, 0, 18),
msg="Annotation area should be successfully changed")
def test_min_or_max_past_limits(self):
self.client.force_login(self.user)
response = self.client.post(
self.url, data=dict(min_x=-1, max_x=39, min_y=0, max_y=49))
self.assertContains(response, "Please correct the errors below.")
self.assertContains(
response, "Ensure this value is greater than or equal to 0.")
response = self.client.post(
self.url, data=dict(min_x=0, max_x=40, min_y=0, max_y=49))
self.assertContains(
response, "Ensure this value is less than or equal to 39.")
response = self.client.post(
self.url, data=dict(min_x=0, max_x=39, min_y=-1, max_y=49))
self.assertContains(response, "Please correct the errors below.")
self.assertContains(
response, "Ensure this value is greater than or equal to 0.")
response = self.client.post(
self.url, data=dict(min_x=0, max_x=39, min_y=0, max_y=50))
self.assertContains(
response, "Ensure this value is less than or equal to 49.")
response = self.client.post(
self.url, data=dict(min_x=0, max_x=39, min_y=0, max_y=49),
follow=True)
self.assertContains(
response, "Annotation area successfully edited.")
@skip(
"There's a bug in the behavior here."
" Need to fix that in the annotation area edit form.")
def test_min_exceeds_max(self):
self.client.force_login(self.user)
response = self.client.post(
self.url, data=dict(min_x=30, max_x=29, min_y=29, max_y=30))
self.assertContains(response, "Please correct the errors below.")
self.assertContains(
response,
"The right boundary x must be greater than or equal to"
" the left boundary x.")
response = self.client.post(
self.url, data=dict(min_x=0, max_x=1, min_y=1, max_y=0))
self.assertContains(
response,
"The bottom boundary y must be greater than or equal to"
" the top boundary y.")
def test_non_integers(self):
self.client.force_login(self.user)
response = self.client.post(
self.url, data=dict(min_x=8, max_x=36, min_y=0, max_y='a'))
self.assertContains(response, "Please correct the errors below.")
self.assertContains(response, "Enter a whole number.")
response = self.client.post(
self.url, data=dict(min_x=8.28, max_x=36, min_y=0, max_y=18))
self.assertContains(response, "Please correct the errors below.")
self.assertContains(response, "Enter a whole number.")
# TODO: Test blank fields
class PointGenTest(ClientTest):
"""
Test generation of annotation points.
"""
@classmethod
def setUpTestData(cls):
super().setUpTestData()
cls.user = cls.create_user()
def assertPointsAreInBounds(self, points, bounds):
"""
Check that every Point in the given points array is within the
bounds specified.
bounds is a dict of pixel-position boundaries. For example,
dict(min_x=0, max_x=19, min_y=0, max_y=29)
"""
for pt in points:
self.assertTrue(bounds['min_x'] <= pt.column)
self.assertTrue(pt.column <= bounds['max_x'])
self.assertTrue(bounds['min_y'] <= pt.row)
self.assertTrue(pt.row <= bounds['max_y'])
def test_simple_random_whole_image(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.SIMPLE,
simple_number_of_points=100,
min_x=0, max_x=100, min_y=0, max_y=100)
# Make the resolution small so that we have a good chance of
# testing the annotation area boundaries.
img = self.upload_image(
self.user, source, image_options=dict(width=20, height=30))
points = img.point_set.all()
self.assertEqual(
points.count(), 100,
"Should generate the correct number of points")
self.assertPointsAreInBounds(
points, dict(min_x=0, max_x=19, min_y=0, max_y=29))
def test_simple_random_source_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.SIMPLE,
simple_number_of_points=100,
min_x=19, max_x=62, min_y=7, max_y=90.2)
img = self.upload_image(
self.user, source, image_options=dict(width=40, height=50))
points = img.point_set.all()
self.assertEqual(
points.count(), 100,
"Should generate the correct number of points")
self.assertPointsAreInBounds(
points, dict(
min_x=math.floor((19/100)*40),
max_x=math.floor((62/100)*40),
min_y=math.floor((7/100)*50),
max_y=math.floor((90.2/100)*50)))
def test_simple_random_image_specific_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.SIMPLE,
simple_number_of_points=100)
img = self.upload_image(
self.user, source, image_options=dict(width=40, height=50))
self.client.force_login(self.user)
self.client.post(
reverse('annotation_area_edit', args=[img.pk]),
data=dict(min_x=8, max_x=36, min_y=0, max_y=18))
points = img.point_set.all()
self.assertEqual(
points.count(), 100,
"Should generate the correct number of points")
self.assertPointsAreInBounds(
points, dict(min_x=8, max_x=36, min_y=0, max_y=18))
def test_stratified_random_whole_image(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.STRATIFIED,
number_of_cell_columns=5, number_of_cell_rows=4,
stratified_points_per_cell=6,
min_x=0, max_x=100, min_y=0, max_y=100)
img = self.upload_image(
self.user, source, image_options=dict(width=20, height=30))
points = img.point_set.all().order_by('point_number')
self.assertEqual(
points.count(), 5*4*6,
"Should generate the correct number of points")
# Check the strata in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for min_y, max_y in [(0,6), (7,14), (15,21), (22,29)]:
for min_x, max_x in [(0,3), (4,7), (8,11), (12,15), (16,19)]:
self.assertPointsAreInBounds(
points[point_index:point_index+6],
dict(min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y))
point_index += 6
def test_stratified_random_source_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.STRATIFIED,
number_of_cell_columns=5, number_of_cell_rows=4,
stratified_points_per_cell=6,
min_x=19, max_x=62, min_y=7, max_y=90.2)
img = self.upload_image(
self.user, source, image_options=dict(width=20, height=30))
points = img.point_set.all().order_by('point_number')
self.assertEqual(
points.count(), 5*4*6,
"Should generate the correct number of points")
# Check the strata in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for min_y, max_y in [(2,7), (8,14), (15,20), (21,27)]:
for min_x, max_x in [(3,4), (5,6), (7,8), (9,10), (11,12)]:
self.assertPointsAreInBounds(
points[point_index:point_index+6],
dict(min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y))
point_index += 6
def test_stratified_random_image_specific_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.STRATIFIED,
number_of_cell_columns=5, number_of_cell_rows=4,
stratified_points_per_cell=6)
img = self.upload_image(
self.user, source, image_options=dict(width=40, height=50))
self.client.force_login(self.user)
self.client.post(
reverse('annotation_area_edit', args=[img.pk]),
data=dict(min_x=8, max_x=36, min_y=0, max_y=18))
points = img.point_set.all()
self.assertEqual(
points.count(), 5*4*6,
"Should generate the correct number of points")
# Check the strata in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for min_y, max_y in [(0,3), (4,8), (9,13), (14,18)]:
for min_x, max_x in [(8,12), (13,18), (19,24), (25,30), (31,36)]:
self.assertPointsAreInBounds(
points[point_index:point_index+6],
dict(min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y))
point_index += 6
def test_uniform_grid_whole_image(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.UNIFORM,
number_of_cell_columns=5, number_of_cell_rows=4,
min_x=0, max_x=100, min_y=0, max_y=100)
img = self.upload_image(
self.user, source, image_options=dict(width=20, height=30))
points = img.point_set.all().order_by('point_number')
self.assertEqual(
points.count(), 5*4,
"Should generate the correct number of points")
# Check the points in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for y in [3, 10, 18, 25]:
for x in [1, 5, 9, 13, 17]:
self.assertEqual(x, points[point_index].column)
self.assertEqual(y, points[point_index].row)
point_index += 1
def test_uniform_grid_source_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.UNIFORM,
number_of_cell_columns=5, number_of_cell_rows=4,
min_x=19, max_x=62, min_y=7, max_y=90.2)
img = self.upload_image(
self.user, source, image_options=dict(width=20, height=30))
points = img.point_set.all().order_by('point_number')
self.assertEqual(
points.count(), 5*4,
"Should generate the correct number of points")
# Check the points in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for y in [4, 11, 17, 24]:
for x in [3, 5, 7, 9, 11]:
self.assertEqual(x, points[point_index].column)
self.assertEqual(y, points[point_index].row)
point_index += 1
def test_uniform_grid_image_specific_annotation_area(self):
source = self.create_source(
self.user,
point_generation_type=PointGen.Types.UNIFORM,
number_of_cell_columns=5, number_of_cell_rows=4)
img = self.upload_image(
self.user, source, image_options=dict(width=40, height=50))
self.client.force_login(self.user)
self.client.post(
reverse('annotation_area_edit', args=[img.pk]),
data=dict(min_x=8, max_x=36, min_y=0, max_y=18))
points = img.point_set.all()
self.assertEqual(
points.count(), 5*4,
"Should generate the correct number of points")
# Check the points in order by point number. That's row by row,
# top to bottom, left to right.
point_index = 0
for y in [1, 6, 11, 16]:
for x in [10, 15, 21, 27, 33]:
self.assertEqual(x, points[point_index].column)
self.assertEqual(y, points[point_index].row)
point_index += 1
| 39.182232
| 79
| 0.613569
| 2,337
| 17,201
| 4.314078
| 0.108686
| 0.01468
| 0.016663
| 0.013489
| 0.797957
| 0.784864
| 0.774945
| 0.767407
| 0.747074
| 0.719599
| 0
| 0.03626
| 0.273705
| 17,201
| 438
| 80
| 39.27169
| 0.770752
| 0.065345
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| 0
| 0
| 0.094716
| 0.002319
| 0
| 0
| 0
| 0.002283
| 0.173653
| 1
| 0.071856
| false
| 0
| 0.026946
| 0
| 0.110778
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 1
| 1
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|
0
| 5
|
a2ab9c50127e6366a820bc61c05864bf57a78603
| 2,573
|
py
|
Python
|
services/traction/tests/unit/services/v1/test_invitation_parser.py
|
bcgov/traction
|
90cec4f1aebccd68eb986cb89dfae5819a07a2ee
|
[
"Apache-2.0"
] | 12
|
2022-01-29T20:30:03.000Z
|
2022-03-29T11:46:14.000Z
|
services/traction/tests/unit/services/v1/test_invitation_parser.py
|
bcgov/traction
|
90cec4f1aebccd68eb986cb89dfae5819a07a2ee
|
[
"Apache-2.0"
] | 38
|
2021-11-22T17:52:50.000Z
|
2022-03-31T17:52:00.000Z
|
services/traction/tests/unit/services/v1/test_invitation_parser.py
|
bcgov/traction
|
90cec4f1aebccd68eb986cb89dfae5819a07a2ee
|
[
"Apache-2.0"
] | 9
|
2021-11-22T18:05:48.000Z
|
2022-03-29T11:25:08.000Z
|
import pytest
from api.services.v1 import invitation_parser
pytestmark = pytest.mark.asyncio
async def test_uri_to_url():
street_cred_redirect = "id.streetcred://launch/?d_m=eyJsYWJlbCI6IlNuYXBwZXIiLCJpbWFnZVVybCI6bnVsbCwic2VydmljZUVuZHBvaW50IjoiaHR0cHM6Ly90cmluc2ljLW1lZGlhdG9yLWFnZW50LWV1cm9wZS5henVyZXdlYnNpdGVzLm5ldC8iLCJyb3V0aW5nS2V5cyI6WyJDTFBmc3hVaDNMOWR2U2huNjRmYkZKZExrbzZHbmVhQkNEWkJQNjZpWVV3RCJdLCJyZWNpcGllbnRLZXlzIjpbIkc5cDVydVRqcDJiVHhWellIUVpySmZISkNDaENRVUpOVllrUWhTcGlmWTdkIl0sIkBpZCI6IjBiNTc1Zjc4LTNiNTQtNGFhNS1hMzMyLTcwNTljZDg5YzA1NiIsIkB0eXBlIjoiZGlkOnNvdjpCekNic05ZaE1yakhpcVpEVFVBU0hnO3NwZWMvY29ubmVjdGlvbnMvMS4wL2ludml0YXRpb24ifQ%3D%3D&orig=https%3a%2f%2fredir.trinsic.id%2f46yG3VegpCqc"
url = invitation_parser.uri_to_url(street_cred_redirect, True)
assert url.query
async def test_check_invitation_redirect():
trinsic_redirect = "https://trinsic.studio/url/0158bf62-ef48-47ac-b9d7-4f9467bc01e6"
result = await invitation_parser.check_invitation(trinsic_redirect)
assert result.invitation
assert result.invitation_block
assert result.label
async def test_check_invitation_oob():
oob = "http://traction-agent:8030?oob=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"
result = await invitation_parser.check_invitation(oob)
assert result.invitation
assert result.invitation_block
assert result.label
async def test_parse_invitation_oob():
oob = "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"
result = invitation_parser.parse_invitation(oob)
assert result.invitation
assert result.invitation_block
assert result.label
assert result.oob
assert result.parsed
| 65.974359
| 591
| 0.907112
| 146
| 2,573
| 15.767123
| 0.383562
| 0.057341
| 0.057341
| 0.03649
| 0.180712
| 0.162467
| 0.107732
| 0.107732
| 0.107732
| 0.107732
| 0
| 0.090535
| 0.055577
| 2,573
| 38
| 592
| 67.710526
| 0.85679
| 0
| 0
| 0.333333
| 0
| 0.037037
| 0.650467
| 0.416407
| 0
| 1
| 0
| 0
| 0.444444
| 1
| 0
| false
| 0
| 0.074074
| 0
| 0.074074
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
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| 1
| null | 1
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
a2cea66548e00af09da0511a61139b30aab016da
| 4,968
|
py
|
Python
|
tests/test_mgaclient.py
|
key/ublox-mga-py
|
48390a1411df146edaf44c28ade28eb14788d18b
|
[
"MIT"
] | null | null | null |
tests/test_mgaclient.py
|
key/ublox-mga-py
|
48390a1411df146edaf44c28ade28eb14788d18b
|
[
"MIT"
] | 39
|
2018-10-18T20:18:40.000Z
|
2021-08-02T20:17:18.000Z
|
tests/test_mgaclient.py
|
key/ublox-mga-py
|
48390a1411df146edaf44c28ade28eb14788d18b
|
[
"MIT"
] | null | null | null |
import os
import uuid
from io import BytesIO
from unittest import TestCase
from unittest.mock import patch
class MGAClientTestCase(TestCase):
def make_response(self):
from requests import Response
raw_data = b'mga binary code'
response = Response()
response.status_code = 200
response.raw = BytesIO(raw_data)
response.headers = {
'Content-Type': 'application/octet-stream',
'Content-Length': len(raw_data)
}
return response
def test_make_parameters(self):
from mgaclient import MGAClient
from mgaclient.consts import DATATYPE_EPHEMERIS, DATATYPE_ALMANAC, DATATYPE_AUX, DATATYPE_POS
from mgaclient.consts import FORMAT_MGA, FORMAT_AID
from mgaclient.consts import GNSS_GPS, GNSS_QZSS, GNSS_BEIDOU, GNSS_GALILEO, GNSS_GLONASS
class Item:
def __init__(self, token, datatype, dataformat, gnss, result):
self.token = token
self.datatype = datatype
self.dataformat = dataformat
self.gnss = gnss
self.result = result
items = [
Item('tokenA', [DATATYPE_EPHEMERIS], FORMAT_AID, [GNSS_GPS], {
'token': 'tokenA',
'datatype': 'eph',
'format': 'aid',
'gnss': 'gps',
}),
Item('tokenB', [DATATYPE_EPHEMERIS, DATATYPE_ALMANAC], FORMAT_MGA, [GNSS_GPS, GNSS_QZSS], {
'token': 'tokenB',
'datatype': 'eph,alm',
'format': 'mga',
'gnss': 'gps,qzss',
}),
Item('tokenC', [DATATYPE_EPHEMERIS, DATATYPE_ALMANAC, DATATYPE_AUX], FORMAT_MGA,
[GNSS_GPS, GNSS_QZSS, GNSS_GLONASS], {
'token': 'tokenC',
'datatype': 'eph,alm,aux',
'format': 'mga',
'gnss': 'gps,qzss,glo',
}),
Item('tokenD', [DATATYPE_POS], FORMAT_MGA, [GNSS_BEIDOU, GNSS_GALILEO], {
'token': 'tokenD',
'datatype': 'pos',
'format': 'mga',
'gnss': 'bds,gal',
}),
]
for item in items:
client = MGAClient(item.token, item.datatype, item.dataformat, item.gnss)
self.assertDictEqual(item.result, client.make_parameter())
def test_make_encoded_parameter(self):
from mgaclient import MGAClient
from mgaclient.consts import DATATYPE_EPHEMERIS, DATATYPE_ALMANAC, DATATYPE_AUX, DATATYPE_POS
from mgaclient.consts import FORMAT_MGA, FORMAT_AID
from mgaclient.consts import GNSS_GPS, GNSS_QZSS, GNSS_BEIDOU, GNSS_GALILEO, GNSS_GLONASS
class Item:
def __init__(self, token, datatype, dataformat, gnss, result):
self.token = token
self.datatype = datatype
self.dataformat = dataformat
self.gnss = gnss
self.result = result
items = [
Item('tokenA', [DATATYPE_EPHEMERIS], FORMAT_AID, [GNSS_GPS],
'token=tokenA&datatype=eph&format=aid&gnss=gps'),
Item('tokenB', [DATATYPE_EPHEMERIS, DATATYPE_ALMANAC], FORMAT_MGA, [GNSS_GPS, GNSS_QZSS],
'token=tokenB&datatype=eph,alm&format=mga&gnss=gps,qzss'),
Item('tokenC', [DATATYPE_EPHEMERIS, DATATYPE_ALMANAC, DATATYPE_AUX], FORMAT_MGA,
[GNSS_GPS, GNSS_QZSS, GNSS_GLONASS],
'token=tokenC&datatype=eph,alm,aux&format=mga&gnss=gps,qzss,glo'),
Item('tokenD', [DATATYPE_POS], FORMAT_MGA, [GNSS_BEIDOU, GNSS_GALILEO],
'token=tokenD&datatype=pos&format=mga&gnss=bds,gal'),
]
for item in items:
client = MGAClient(item.token, item.datatype, item.dataformat, item.gnss)
self.assertEqual(item.result, client.make_encoded_parameter())
def test_get(self):
with patch('requests.get', return_value=self.make_response()) as p:
from mgaclient import MGAClient
client = MGAClient('token', timeout=0)
client.get()
self.assertEqual('https://online-live1.services.u-blox.com/GetOnlineData.ashx?token=token&datatype=eph,alm,aux&format=mga&gnss=gps,qzss', p.call_args[0][0])
def test_save(self):
test_filename = '%s.bin' % uuid.uuid4()
try:
with patch('requests.get', return_value=self.make_response()):
from mgaclient import MGAClient
client = MGAClient('token', timeout=0)
client.save(test_filename)
self.assertTrue(os.path.exists(test_filename))
with open(test_filename, 'br') as f:
self.assertEqual(b'mga binary code', f.read())
finally:
if os.path.exists(test_filename):
os.unlink(test_filename)
| 39.11811
| 168
| 0.578301
| 530
| 4,968
| 5.243396
| 0.201887
| 0.048579
| 0.060813
| 0.051817
| 0.734437
| 0.717164
| 0.717164
| 0.717164
| 0.717164
| 0.670025
| 0
| 0.002636
| 0.312802
| 4,968
| 126
| 169
| 39.428571
| 0.811365
| 0
| 0
| 0.394231
| 0
| 0.019231
| 0.136675
| 0.047101
| 0
| 0
| 0
| 0
| 0.048077
| 1
| 0.067308
| false
| 0
| 0.153846
| 0
| 0.259615
| 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
|
a2f6d5648472c198d5a0f4d8d0a4218b14ca9846
| 67
|
py
|
Python
|
nhget/__init__.py
|
urain39/Nhget
|
b5a8a8cf5f05d7245c3370b7917d8ff5ec312102
|
[
"Apache-2.0"
] | 1
|
2019-02-03T08:04:56.000Z
|
2019-02-03T08:04:56.000Z
|
ezreq/__init__.py
|
urain39/ezReq
|
d655243e7412e1e6086bd36ae6301180817411a8
|
[
"Apache-2.0"
] | 6
|
2019-02-04T19:44:41.000Z
|
2019-09-14T22:51:04.000Z
|
nhget/__init__.py
|
urain39/Nhget
|
b5a8a8cf5f05d7245c3370b7917d8ff5ec312102
|
[
"Apache-2.0"
] | 1
|
2020-02-29T03:42:36.000Z
|
2020-02-29T03:42:36.000Z
|
# Copyright (C) 2019 urain39 <urain39@qq.com>
from .base import *
| 16.75
| 45
| 0.701493
| 10
| 67
| 4.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.164179
| 67
| 3
| 46
| 22.333333
| 0.696429
| 0.641791
| 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
|
0c303c7c243fc1f0b75d5d20912a4dabfb08b8d9
| 216
|
py
|
Python
|
exercises/concept/log-levels/enums.py
|
gsilvapt/python
|
d675468b2437d4c09c358d023ef998a05a781f58
|
[
"MIT"
] | 1
|
2021-09-04T18:42:47.000Z
|
2021-09-04T18:42:47.000Z
|
exercises/concept/log-levels/enums.py
|
gsilvapt/python
|
d675468b2437d4c09c358d023ef998a05a781f58
|
[
"MIT"
] | 11
|
2021-05-12T06:08:19.000Z
|
2022-03-02T12:10:44.000Z
|
exercises/concept/log-levels/enums.py
|
gsilvapt/python
|
d675468b2437d4c09c358d023ef998a05a781f58
|
[
"MIT"
] | 1
|
2021-09-05T15:33:52.000Z
|
2021-09-05T15:33:52.000Z
|
from enum import Enum
class LogLevel(Enum):
pass
def parse_log_level(message):
pass
def convert_to_short_log(log_level, message):
pass
def get_warn_alias():
pass
def get_members():
pass
| 9.818182
| 45
| 0.694444
| 32
| 216
| 4.40625
| 0.5625
| 0.198582
| 0.212766
| 0.269504
| 0.312057
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.231481
| 216
| 21
| 46
| 10.285714
| 0.849398
| 0
| 0
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0.454545
| 0.090909
| 0
| 0.545455
| 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
|
0c3f5436f0fbb01be13ed03eb4cd317e2a4cb04b
| 93
|
py
|
Python
|
neuroir/inputters/__init__.py
|
niazangels/context_attentive_ir
|
989fbfee5a0ac6b7ac7429bdee36fe6ed93ee234
|
[
"MIT"
] | 77
|
2019-07-23T09:40:31.000Z
|
2021-12-16T06:51:29.000Z
|
neuroir/inputters/__init__.py
|
niazangels/context_attentive_ir
|
989fbfee5a0ac6b7ac7429bdee36fe6ed93ee234
|
[
"MIT"
] | 11
|
2019-08-13T09:34:15.000Z
|
2021-12-14T02:41:55.000Z
|
neuroir/inputters/__init__.py
|
niazangels/context_attentive_ir
|
989fbfee5a0ac6b7ac7429bdee36fe6ed93ee234
|
[
"MIT"
] | 22
|
2019-10-03T03:37:30.000Z
|
2021-09-14T05:52:44.000Z
|
__author__ = 'wasi'
from .constants import *
from .vocabulary import *
from . import ranker
| 15.5
| 25
| 0.741935
| 11
| 93
| 5.909091
| 0.636364
| 0.307692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172043
| 93
| 5
| 26
| 18.6
| 0.844156
| 0
| 0
| 0
| 0
| 0
| 0.043011
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 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
|
a7657682ecdfefe7100a4f2bdcace4100492b3ab
| 70
|
py
|
Python
|
mindsdb/api/mysql/mysql_proxy/datahub/__init__.py
|
yarenty/mindsdb
|
9164bca6f45fd0f5ec329babe973f286ffe59709
|
[
"MIT"
] | 261
|
2018-09-28T02:32:17.000Z
|
2018-12-10T06:30:54.000Z
|
mindsdb/api/mysql/mysql_proxy/datahub/__init__.py
|
yarenty/mindsdb
|
9164bca6f45fd0f5ec329babe973f286ffe59709
|
[
"MIT"
] | 27
|
2018-09-26T08:49:11.000Z
|
2018-12-10T14:42:52.000Z
|
mindsdb/api/mysql/mysql_proxy/datahub/__init__.py
|
yarenty/mindsdb
|
9164bca6f45fd0f5ec329babe973f286ffe59709
|
[
"MIT"
] | 46
|
2018-10-06T10:11:18.000Z
|
2018-12-10T04:02:17.000Z
|
from mindsdb.api.mysql.mysql_proxy.datahub.datahub import init_datahub
| 70
| 70
| 0.885714
| 11
| 70
| 5.454545
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042857
| 70
| 1
| 70
| 70
| 0.895522
| 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
|
a767c914c4dbc159d2ff3e93259453fde5a72f58
| 3,167
|
py
|
Python
|
WishTalk/util/token.py
|
BillBillBillBill/WishTalk-server
|
4bb9bbe5b877d344805450fe2060799aa35d2e1a
|
[
"MIT"
] | null | null | null |
WishTalk/util/token.py
|
BillBillBillBill/WishTalk-server
|
4bb9bbe5b877d344805450fe2060799aa35d2e1a
|
[
"MIT"
] | null | null | null |
WishTalk/util/token.py
|
BillBillBillBill/WishTalk-server
|
4bb9bbe5b877d344805450fe2060799aa35d2e1a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from api import GlobalError
from jsonResponse import jsonError
from functools import wraps
from server import redisClient, db
from flask import request
from model.user import User
def token_required(func):
'''check token required decorator'''
@wraps(func)
def _wrapped(*args, **kwargs):
# 将ImmutableMultiDict变成Dict类型
request.args = request.args.to_dict()
# 如果值为空字符串 删掉对应的键 否则后面的request.args.get()会出问题
for k, v in request.args.items():
if v == '':
request.args.pop(k)
# print request.args
token = request.args.get('token', None) or request.form.get('token', None)
if not token:
if request.json == None:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
else:
token = request.json.get('token', None)
if not token:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
try:
if len(token.split('$')) == 4:
userid = token.split('$')[1]
if redisClient.get("token:"+str(userid)) == token:
user = User.query.get(userid)
if request.method == "POST" and user.is_blocked:
return jsonError(GlobalError.OPERATION_BLOCKED_BY_ADMIN), 403
kwargs['current_user'] = user
return func(*args, **kwargs)
else:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
else:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
except Exception, e:
db.session.rollback()
err = GlobalError.UNDEFINED_ERROR
err['msg'] = str(e)
return jsonError(err), 403
return _wrapped
def token_required_unnecessary(func):
@wraps(func)
def _wrapped(*args, **kwargs):
# 将ImmutableMultiDict变成Dict类型
request.args = request.args.to_dict()
# 如果值为空字符串 删掉对应的键 否则后面的request.args.get()会出问题
for k, v in request.args.items():
if v == '':
request.args.pop(k)
token = request.args.get('token', None) or request.form.get('token', None)
if not token and request.json:
token = request.json.get('token', None)
try:
if not token:
kwargs['current_user'] = None
return func(*args, **kwargs)
if len(token.split('$')) == 4:
userid = token.split('$')[1]
if redisClient.get("token:"+str(userid)) == token:
user = User.query.get(userid)
kwargs['current_user'] = user
return func(*args, **kwargs)
else:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
else:
return jsonError(GlobalError.TOKEN_VALIFY_FAILED), 401
except Exception,e:
db.session.rollback()
err = GlobalError.UNDEFINED_ERROR
err['msg'] = str(e)
return jsonError(err), 403
return _wrapped
| 39.5875
| 85
| 0.55131
| 335
| 3,167
| 5.122388
| 0.241791
| 0.070513
| 0.106061
| 0.108392
| 0.748252
| 0.748252
| 0.70979
| 0.682984
| 0.653846
| 0.653846
| 0
| 0.015348
| 0.341648
| 3,167
| 80
| 86
| 39.5875
| 0.807674
| 0.058099
| 0
| 0.814286
| 0
| 0
| 0.031282
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.085714
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
a7949b45c01cfb8a8c8c2f320786506a56beebc8
| 107
|
py
|
Python
|
tests/test_methods/test_elections.py
|
NationalJournal/py-votesmart
|
9194f28564d8d005386f498b1fc915cc7772f38b
|
[
"BSD-3-Clause"
] | 7
|
2018-03-08T16:33:02.000Z
|
2020-12-22T08:12:31.000Z
|
tests/test_methods/test_elections.py
|
NationalJournal/py-votesmart
|
9194f28564d8d005386f498b1fc915cc7772f38b
|
[
"BSD-3-Clause"
] | 7
|
2018-02-13T02:40:29.000Z
|
2018-03-08T17:04:53.000Z
|
tests/test_methods/test_elections.py
|
NationalJournal/py-votesmart
|
9194f28564d8d005386f498b1fc915cc7772f38b
|
[
"BSD-3-Clause"
] | 4
|
2018-02-13T13:41:28.000Z
|
2021-12-21T22:14:54.000Z
|
from votesmart.methods.elections import *
def test_Election():
method = Election(api_instance='test')
| 21.4
| 42
| 0.757009
| 13
| 107
| 6.076923
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130841
| 107
| 4
| 43
| 26.75
| 0.849462
| 0
| 0
| 0
| 0
| 0
| 0.037383
| 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
|
a7b6c9692eb8be9e3a291d50e429e74b1951edcc
| 58
|
py
|
Python
|
__init__.py
|
pashango2/finder_object
|
67dbbf62081a593f6636704ef11bdcd1c1662085
|
[
"MIT"
] | null | null | null |
__init__.py
|
pashango2/finder_object
|
67dbbf62081a593f6636704ef11bdcd1c1662085
|
[
"MIT"
] | null | null | null |
__init__.py
|
pashango2/finder_object
|
67dbbf62081a593f6636704ef11bdcd1c1662085
|
[
"MIT"
] | null | null | null |
from .finder_object import FinderObject, PopupFinderObject
| 58
| 58
| 0.896552
| 6
| 58
| 8.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 58
| 1
| 58
| 58
| 0.944444
| 0
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| true
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| 0
| 0
| 0
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| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ac5dda10f6100383b2d4fee6653852f76a7508ad
| 30
|
py
|
Python
|
keggler/training/__init__.py
|
mlisovyi/Keggler
|
053caa84648b34f8f790ae6323a18674e1e51778
|
[
"MIT"
] | 2
|
2019-01-10T04:00:34.000Z
|
2022-01-21T05:03:47.000Z
|
keggler/training/__init__.py
|
mlisovyi/Keggler
|
053caa84648b34f8f790ae6323a18674e1e51778
|
[
"MIT"
] | null | null | null |
keggler/training/__init__.py
|
mlisovyi/Keggler
|
053caa84648b34f8f790ae6323a18674e1e51778
|
[
"MIT"
] | null | null | null |
from .training_utils import *
| 15
| 29
| 0.8
| 4
| 30
| 5.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 30
| 1
| 30
| 30
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
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| 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
|
ac65c544cde825f13da82ed448dcc3c9086d7a38
| 6,943
|
py
|
Python
|
tests/dataverk/views/constants.py
|
navikt/dataverk
|
7dd803236433048686dd7a58358bc1c09565b14b
|
[
"MIT"
] | 3
|
2019-09-29T20:48:46.000Z
|
2021-03-31T10:16:07.000Z
|
tests/dataverk/views/constants.py
|
navikt/dataverk
|
7dd803236433048686dd7a58358bc1c09565b14b
|
[
"MIT"
] | 148
|
2019-02-08T12:30:58.000Z
|
2021-03-11T15:31:55.000Z
|
tests/dataverk/views/constants.py
|
navikt/dataverk
|
7dd803236433048686dd7a58358bc1c09565b14b
|
[
"MIT"
] | 1
|
2020-11-18T14:10:05.000Z
|
2020-11-18T14:10:05.000Z
|
PLOT_JSON = {"data":[{"name":"plotly 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| 6,943
| 6,943
| 0.660809
| 715
| 6,943
| 6.40979
| 0.226573
| 0.096007
| 0.100807
| 0.124809
| 0.721798
| 0.665939
| 0.579097
| 0.559022
| 0.545058
| 0.545058
| 0
| 0.234438
| 0.000432
| 6,943
| 1
| 6,943
| 6,943
| 0.425937
| 0
| 0
| 0
| 0
| 0
| 0.50144
| 0
| 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
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3bb51c71f3379d207b2bf2cbca09830c586368e2
| 219
|
py
|
Python
|
applications/users/views/password.py
|
szypkiwonsz/Physiotherapy-Management-System
|
36decab47890e2f4be259c8796f47324ffad28fe
|
[
"MIT"
] | null | null | null |
applications/users/views/password.py
|
szypkiwonsz/Physiotherapy-Management-System
|
36decab47890e2f4be259c8796f47324ffad28fe
|
[
"MIT"
] | 8
|
2020-08-17T14:36:02.000Z
|
2022-03-12T00:33:50.000Z
|
applications/users/views/password.py
|
szypkiwonsz/Physiotherapy-Management-System
|
36decab47890e2f4be259c8796f47324ffad28fe
|
[
"MIT"
] | null | null | null |
from django.contrib.auth.views import PasswordResetConfirmView
from applications.users.forms import NewSetPasswordForm
class NewPasswordResetConfirmView(PasswordResetConfirmView):
form_class = NewSetPasswordForm
| 27.375
| 62
| 0.86758
| 19
| 219
| 9.947368
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091324
| 219
| 7
| 63
| 31.285714
| 0.949749
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 1
| 0.5
| 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
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
ce105ff4877ad560c766cfe0f567d7574a8e90da
| 43
|
py
|
Python
|
out/str2.py
|
FardaleM/metalang
|
171557c540f3e2c051ec39ea150afb740c1f615f
|
[
"BSD-2-Clause"
] | 22
|
2017-04-24T10:00:45.000Z
|
2021-04-01T10:11:05.000Z
|
out/str2.py
|
FardaleM/metalang
|
171557c540f3e2c051ec39ea150afb740c1f615f
|
[
"BSD-2-Clause"
] | 12
|
2017-03-26T18:34:21.000Z
|
2019-03-21T19:13:03.000Z
|
out/str2.py
|
FardaleM/metalang
|
171557c540f3e2c051ec39ea150afb740c1f615f
|
[
"BSD-2-Clause"
] | 7
|
2017-10-14T13:33:33.000Z
|
2021-03-18T15:18:50.000Z
|
print("ma petite chaine en or", end='')
| 8.6
| 39
| 0.604651
| 7
| 43
| 3.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.209302
| 43
| 4
| 40
| 10.75
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0.55
| 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
|
ce20897aea2f8c7ed36df0104e94648b9c4d642d
| 52
|
py
|
Python
|
quantpy/technical_indicators.py
|
jobryan/QuantPy
|
9ebc0db5ab1c05b0bae90232b479d82b1b6e05c1
|
[
"BSD-4-Clause"
] | 1
|
2015-09-29T05:30:16.000Z
|
2015-09-29T05:30:16.000Z
|
quantpy/technical_indicators.py
|
jobryan/QuantPy
|
9ebc0db5ab1c05b0bae90232b479d82b1b6e05c1
|
[
"BSD-4-Clause"
] | null | null | null |
quantpy/technical_indicators.py
|
jobryan/QuantPy
|
9ebc0db5ab1c05b0bae90232b479d82b1b6e05c1
|
[
"BSD-4-Clause"
] | null | null | null |
def sma():
pass
def ema():
pass
| 5.777778
| 12
| 0.384615
| 6
| 52
| 3.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 52
| 8
| 13
| 6.5
| 0.769231
| 0
| 0
| 0.5
| 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
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
ce27102b98f4ee588570dd29a22efa34a8bc76b9
| 84
|
py
|
Python
|
lib/plantowerpycom/__init__.py
|
psidex/PyonAir-pycom
|
dfe9bb30256ae396799682990b1d53802f240f26
|
[
"MIT"
] | 6
|
2019-08-07T13:56:43.000Z
|
2020-11-01T02:58:51.000Z
|
lib/plantowerpycom/__init__.py
|
psidex/PyonAir-pycom
|
dfe9bb30256ae396799682990b1d53802f240f26
|
[
"MIT"
] | 78
|
2020-03-20T13:58:10.000Z
|
2021-07-29T08:24:57.000Z
|
lib/plantowerpycom/__init__.py
|
psidex/PyonAir-pycom
|
dfe9bb30256ae396799682990b1d53802f240f26
|
[
"MIT"
] | 5
|
2019-08-08T10:23:35.000Z
|
2021-10-06T18:34:03.000Z
|
from plantowerpycom.plantower import PlantowerReading, Plantower, PlantowerException
| 84
| 84
| 0.904762
| 7
| 84
| 10.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059524
| 84
| 1
| 84
| 84
| 0.962025
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| 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
|
cbfbd528a11ea7a8f32f81517a82723f0b8457e4
| 303
|
py
|
Python
|
tests/conftest.py
|
jonathdls/Naval_Architect-Marine_Analysis
|
8999b0724688b8c0b7ec5b5195a9e2d2af0bcc40
|
[
"MIT"
] | null | null | null |
tests/conftest.py
|
jonathdls/Naval_Architect-Marine_Analysis
|
8999b0724688b8c0b7ec5b5195a9e2d2af0bcc40
|
[
"MIT"
] | null | null | null |
tests/conftest.py
|
jonathdls/Naval_Architect-Marine_Analysis
|
8999b0724688b8c0b7ec5b5195a9e2d2af0bcc40
|
[
"MIT"
] | 1
|
2021-07-05T15:52:51.000Z
|
2021-07-05T15:52:51.000Z
|
"""
Configure truth tests
"""
import pytest
@pytest.fixture(scope='module')
def cost():
def _cost(argument):
return argument
yield _cost
@pytest.fixture(scope='module')
def stability_margin():
def _stability_margin(argument):
return argument
return _stability_margin
| 15.947368
| 36
| 0.693069
| 34
| 303
| 5.970588
| 0.441176
| 0.206897
| 0.17734
| 0.236453
| 0.26601
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.20132
| 303
| 18
| 37
| 16.833333
| 0.838843
| 0.069307
| 0
| 0.363636
| 0
| 0
| 0.043796
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0.090909
| 0.181818
| 0.727273
| 0
| 0
| 0
| 0
| null | 1
| 0
| 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
|
5a63ecd45658f22e66c171ada751fb33764d4559
| 53
|
py
|
Python
|
face_detection/detection/sfd/__init__.py
|
zhaniya-meruki/ZhaniyaKoishybayevaMasterThesis
|
4e6cabeea711ef70fbe72e7b648b29f94bca1a66
|
[
"MIT"
] | 5,863
|
2017-09-19T01:26:21.000Z
|
2022-03-31T13:31:43.000Z
|
face_detection/detection/sfd/__init__.py
|
zhaniya-meruki/ZhaniyaKoishybayevaMasterThesis
|
4e6cabeea711ef70fbe72e7b648b29f94bca1a66
|
[
"MIT"
] | 281
|
2017-09-20T07:49:44.000Z
|
2022-02-16T11:09:12.000Z
|
face_detection/detection/sfd/__init__.py
|
zhaniya-meruki/ZhaniyaKoishybayevaMasterThesis
|
4e6cabeea711ef70fbe72e7b648b29f94bca1a66
|
[
"MIT"
] | 1,279
|
2017-09-19T07:02:18.000Z
|
2022-03-31T03:15:37.000Z
|
from .sfd_detector import SFDDetector as FaceDetector
| 53
| 53
| 0.886792
| 7
| 53
| 6.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09434
| 53
| 1
| 53
| 53
| 0.958333
| 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
|
5a6675208b81d9e3a83555577675b0c098fd9c1c
| 23
|
py
|
Python
|
sites/pycharm-guide/demos/tutorials/visual_pytest/setup/player.py
|
stevewhitmore/jetbrains_guide
|
234eb44a3ecc670048e4d02b3b5b39affe4a9e31
|
[
"Apache-2.0",
"CC-BY-4.0"
] | 16
|
2019-02-01T14:03:53.000Z
|
2019-08-18T13:57:33.000Z
|
sites/pycharm-guide/demos/tutorials/visual_pytest/setup/player.py
|
stevewhitmore/jetbrains_guide
|
234eb44a3ecc670048e4d02b3b5b39affe4a9e31
|
[
"Apache-2.0",
"CC-BY-4.0"
] | 3
|
2019-03-22T07:40:33.000Z
|
2019-04-03T16:04:35.000Z
|
sites/pycharm-guide/demos/tutorials/visual_pytest/setup/player.py
|
stevewhitmore/jetbrains_guide
|
234eb44a3ecc670048e4d02b3b5b39affe4a9e31
|
[
"Apache-2.0",
"CC-BY-4.0"
] | 2
|
2019-03-25T15:00:12.000Z
|
2019-08-18T13:57:36.000Z
|
class Player:
pass
| 7.666667
| 13
| 0.652174
| 3
| 23
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.304348
| 23
| 2
| 14
| 11.5
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
5a6dbfd6852de3a8c67b0acb340f21603909a605
| 142
|
py
|
Python
|
mmtrack/models/aggregators/__init__.py
|
sht47/mmtracking
|
5a25e418e9c598d1b576bce8702f5e156cbbefe7
|
[
"Apache-2.0"
] | 2
|
2021-09-19T10:09:14.000Z
|
2021-09-24T13:46:58.000Z
|
mmtrack/models/aggregators/__init__.py
|
hellock/mmtracking
|
a22a36b2055d80cf4a7a5ef3913849abb56defcb
|
[
"Apache-2.0"
] | null | null | null |
mmtrack/models/aggregators/__init__.py
|
hellock/mmtracking
|
a22a36b2055d80cf4a7a5ef3913849abb56defcb
|
[
"Apache-2.0"
] | 1
|
2021-07-15T00:26:35.000Z
|
2021-07-15T00:26:35.000Z
|
from .embed_aggregator import EmbedAggregator
from .selsa_aggregator import SelsaAggregator
__all__ = ['EmbedAggregator', 'SelsaAggregator']
| 28.4
| 48
| 0.838028
| 13
| 142
| 8.692308
| 0.615385
| 0.283186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091549
| 142
| 4
| 49
| 35.5
| 0.875969
| 0
| 0
| 0
| 0
| 0
| 0.211268
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
|
ce528b995345426afe253fbaf001001f2574bd2c
| 131
|
py
|
Python
|
DeterministicParticleFlowControl/reweighting/__init__.py
|
dimitra-maoutsa/DeterministicParticleFlowControl
|
106bc9b01d7a4888e4ded18c5fb5a989fe672386
|
[
"MIT"
] | 6
|
2021-12-13T14:30:31.000Z
|
2022-01-24T07:54:57.000Z
|
DeterministicParticleFlowControl/reweighting/__init__.py
|
dimitra-maoutsa/DeterministicParticleFlowControl
|
106bc9b01d7a4888e4ded18c5fb5a989fe672386
|
[
"MIT"
] | 10
|
2021-12-18T23:04:53.000Z
|
2022-02-05T02:06:34.000Z
|
DeterministicParticleFlowControl/reweighting/__init__.py
|
dimitra-maoutsa/DeterministicParticleFlowControl
|
106bc9b01d7a4888e4ded18c5fb5a989fe672386
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Module providing particle reweighting functionality.
"""
from .optimal_transport_reweighting import *
| 18.714286
| 52
| 0.732824
| 13
| 131
| 7.230769
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008772
| 0.129771
| 131
| 6
| 53
| 21.833333
| 0.815789
| 0.572519
| 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
|
ce72047b32b2c0eacfd0facba5eb2b6c116f3fcc
| 83
|
py
|
Python
|
deepctr/__init__.py
|
lovesilent/DeepCTR
|
9f155590cc44c14821dcb691811656eb2ef2f49b
|
[
"Apache-2.0"
] | null | null | null |
deepctr/__init__.py
|
lovesilent/DeepCTR
|
9f155590cc44c14821dcb691811656eb2ef2f49b
|
[
"Apache-2.0"
] | null | null | null |
deepctr/__init__.py
|
lovesilent/DeepCTR
|
9f155590cc44c14821dcb691811656eb2ef2f49b
|
[
"Apache-2.0"
] | null | null | null |
from .utils import check_version
__version__ = '0.8.7'
check_version(__version__)
| 16.6
| 32
| 0.795181
| 12
| 83
| 4.666667
| 0.666667
| 0.428571
| 0.678571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040541
| 0.108434
| 83
| 4
| 33
| 20.75
| 0.716216
| 0
| 0
| 0
| 0
| 0
| 0.060241
| 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
|
ce721aed061e906515c0221a5eadf8d2eba2112f
| 1,374
|
py
|
Python
|
dophon/tools/__init__.py
|
Ca11MeE/dophon
|
6737b0f0dc9ec2c2229865940c3c6d6ee326fc28
|
[
"Apache-2.0"
] | 1
|
2018-08-13T09:57:34.000Z
|
2018-08-13T09:57:34.000Z
|
dophon/tools/__init__.py
|
Ca11MeE/dophon
|
6737b0f0dc9ec2c2229865940c3c6d6ee326fc28
|
[
"Apache-2.0"
] | null | null | null |
dophon/tools/__init__.py
|
Ca11MeE/dophon
|
6737b0f0dc9ec2c2229865940c3c6d6ee326fc28
|
[
"Apache-2.0"
] | null | null | null |
import platform
def is_windows():
return 'Windows' == platform.system()
def is_not_windows():
return not is_windows()
def show_banner():
print(f"""
.o8 oooo
"888 `888
.oooo888 .ooooo. oo.ooooo. 888 .oo. .ooooo. ooo. .oo.
d88' `888 d88' `88b 888' `88b 888P"Y88b d88' `88b `888P"Y88b
888 888 888 888 888 888 888 888 888 888 888 888
888 888 888 888 888 888 888 888 888 888 888 888
`Y8bod88P" `Y8bod8P' 888bod8P' o888o o888o `Y8bod8P' o888o o888o
888
o888o
Author:CallMeE
Base:Flask or Tornado
Url:https://github.com/Ca11MeE/dophon.git
https://gitee.com/callmee/dophon.git
""")
def module_edge_print(module_name):
def fun(f):
def fields(*args, **kwargs):
print('------------------', module_name, '<start>------------------\n')
f(*args, **kwargs)
print('\n------------------', module_name, '<end>------------------\n\n\n')
return fields
return fun
| 34.35
| 119
| 0.402475
| 133
| 1,374
| 4.082707
| 0.383459
| 0.265193
| 0.364641
| 0.464088
| 0.132597
| 0.132597
| 0.132597
| 0.132597
| 0.132597
| 0.132597
| 0
| 0.193289
| 0.457787
| 1,374
| 39
| 120
| 35.230769
| 0.53557
| 0
| 0
| 0.068966
| 0
| 0.068966
| 0.707424
| 0.040757
| 0
| 0
| 0
| 0
| 0
| 1
| 0.206897
| false
| 0
| 0.034483
| 0.068966
| 0.37931
| 0.137931
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
0c7e59605c4640cc172388fd861c25b9e3925088
| 155
|
py
|
Python
|
scripts/install_via_pip.py
|
irisTa56/markdown2textile
|
692ecea35a1fb18a6c3a141678b158f871d9a777
|
[
"MIT"
] | null | null | null |
scripts/install_via_pip.py
|
irisTa56/markdown2textile
|
692ecea35a1fb18a6c3a141678b158f871d9a777
|
[
"MIT"
] | 6
|
2019-06-18T03:20:39.000Z
|
2021-02-07T13:04:02.000Z
|
scripts/install_via_pip.py
|
irisTa56/markdown2textile
|
692ecea35a1fb18a6c3a141678b158f871d9a777
|
[
"MIT"
] | null | null | null |
import sys
import subprocess
subprocess.run(
[sys.executable, "-m", "pip", "install"] + sys.argv[1:],
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
| 22.142857
| 58
| 0.709677
| 20
| 155
| 5.5
| 0.65
| 0.254545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007299
| 0.116129
| 155
| 6
| 59
| 25.833333
| 0.79562
| 0
| 0
| 0
| 0
| 0
| 0.077419
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
|
0c86b2a866cddca4d5fdfe123d31ddc724907695
| 69
|
py
|
Python
|
musicautobot/__init__.py
|
HalleyYoung/musicautobot
|
075afba70a57ebacfcd8d2bf9dc178a93c05a116
|
[
"MIT"
] | 402
|
2019-07-31T00:37:10.000Z
|
2022-03-27T22:21:29.000Z
|
musicautobot/__init__.py
|
HalleyYoung/musicautobot
|
075afba70a57ebacfcd8d2bf9dc178a93c05a116
|
[
"MIT"
] | 26
|
2019-08-20T13:44:30.000Z
|
2022-01-27T10:42:28.000Z
|
musicautobot/__init__.py
|
HalleyYoung/musicautobot
|
075afba70a57ebacfcd8d2bf9dc178a93c05a116
|
[
"MIT"
] | 81
|
2019-08-14T06:55:55.000Z
|
2022-03-19T09:49:15.000Z
|
from .utils.setup_musescore import setup_musescore
setup_musescore()
| 23
| 50
| 0.869565
| 9
| 69
| 6.333333
| 0.555556
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072464
| 69
| 3
| 51
| 23
| 0.890625
| 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
|
0c97ac15f9260fa0b531890eb547c1461f23fc86
| 193
|
py
|
Python
|
eelbrain/report/__init__.py
|
christianbrodbeck/Eelbrain
|
0c24abcc382abb590c062b8bc683f749265f564f
|
[
"BSD-3-Clause"
] | 32
|
2015-04-05T15:38:55.000Z
|
2022-03-12T02:35:09.000Z
|
eelbrain/report/__init__.py
|
christianbrodbeck/Eelbrain
|
0c24abcc382abb590c062b8bc683f749265f564f
|
[
"BSD-3-Clause"
] | 22
|
2015-07-14T14:55:44.000Z
|
2022-03-15T17:46:11.000Z
|
eelbrain/report/__init__.py
|
christianbrodbeck/Eelbrain
|
0c24abcc382abb590c062b8bc683f749265f564f
|
[
"BSD-3-Clause"
] | 29
|
2015-04-23T13:51:09.000Z
|
2021-08-12T11:28:21.000Z
|
# Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
from ._source import source_results, source_time_lm, source_time_results
from ._uts import time_results
from ._uv import scatter_table
| 32.166667
| 72
| 0.839378
| 27
| 193
| 5.62963
| 0.592593
| 0.131579
| 0.197368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103627
| 193
| 5
| 73
| 38.6
| 0.878613
| 0.279793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
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