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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e5724f648062b8be83fbf95d625eab674fb1f2a4
| 211
|
py
|
Python
|
py3/classes/sysflow/sysflow/type/__init__.py
|
sthagen/sysflow-telemetry-sf-apis
|
d95c98b34e8896dc1774fbe283ef7db6b8a61bce
|
[
"Apache-2.0"
] | 12
|
2019-11-07T15:03:41.000Z
|
2021-01-19T18:50:19.000Z
|
py3/classes/sysflow/sysflow/type/__init__.py
|
sthagen/sysflow-telemetry-sf-apis
|
d95c98b34e8896dc1774fbe283ef7db6b8a61bce
|
[
"Apache-2.0"
] | 3
|
2020-01-22T17:49:59.000Z
|
2022-02-07T22:24:34.000Z
|
py3/classes/sysflow/sysflow/type/__init__.py
|
sthagen/sysflow-telemetry-sf-apis
|
d95c98b34e8896dc1774fbe283ef7db6b8a61bce
|
[
"Apache-2.0"
] | 7
|
2020-01-11T14:27:28.000Z
|
2021-06-16T14:04:58.000Z
|
from ...schema_classes import SchemaClasses
ContainerType = SchemaClasses.sysflow.type.ContainerTypeClass
OID = SchemaClasses.sysflow.type.OIDClass
SFObjectState = SchemaClasses.sysflow.type.SFObjectStateClass
| 35.166667
| 61
| 0.862559
| 20
| 211
| 9.05
| 0.65
| 0.331492
| 0.39779
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066351
| 211
| 5
| 62
| 42.2
| 0.918782
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
e590ebe69bc436fe59e39e7297df2c9fbdfdbad8
| 90
|
py
|
Python
|
solaredge/__init__.py
|
sahilrajan81/alexa-solaredge
|
e43a1e3452422d0b5d87db2b5c720b32e9002a9f
|
[
"Apache-2.0"
] | 3
|
2019-04-05T02:15:46.000Z
|
2021-04-28T21:22:48.000Z
|
solaredge/__init__.py
|
sahilrajan81/alexa-solaredge
|
e43a1e3452422d0b5d87db2b5c720b32e9002a9f
|
[
"Apache-2.0"
] | 1
|
2019-04-05T13:57:06.000Z
|
2019-04-06T15:23:53.000Z
|
solaredge/__init__.py
|
sahilrajan81/alexa-solaredge
|
e43a1e3452422d0b5d87db2b5c720b32e9002a9f
|
[
"Apache-2.0"
] | 3
|
2020-02-08T20:48:33.000Z
|
2022-03-08T04:56:36.000Z
|
"""
This package contains a variety of utilities particular
to the SolarEdge portal
"""
| 22.5
| 56
| 0.755556
| 12
| 90
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 90
| 4
| 57
| 22.5
| 0.918919
| 0.877778
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 1
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e596288313fff3859ad81134848a325ad0b56755
| 304
|
py
|
Python
|
pms/student/admin.py
|
iammeliodas/pms_django
|
535f59ff2dc5260ed9c6da62defa6d740afc0289
|
[
"Apache-2.0"
] | null | null | null |
pms/student/admin.py
|
iammeliodas/pms_django
|
535f59ff2dc5260ed9c6da62defa6d740afc0289
|
[
"Apache-2.0"
] | 7
|
2020-06-05T20:21:00.000Z
|
2021-09-22T18:18:42.000Z
|
pms/student/admin.py
|
meet86/pms_django
|
535f59ff2dc5260ed9c6da62defa6d740afc0289
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from import_export.admin import ImportExportModelAdmin
from .models import StudentDetails,RegisterdStudents
@admin.register(StudentDetails)
class StudentDetailsAdmin(ImportExportModelAdmin):
pass
admin.site.register(RegisterdStudents)
| 25.333333
| 54
| 0.848684
| 31
| 304
| 8.290323
| 0.548387
| 0.101167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095395
| 304
| 12
| 55
| 25.333333
| 0.934545
| 0.085526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.142857
| 0.571429
| 0
| 0.714286
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
e5a29762fbb3256d339e40567fe3e9918b5eab1e
| 145
|
py
|
Python
|
kivy/tests/pyinstaller/video_widget/main.py
|
Galland/kivy
|
95a6bf279883d706f645e4629c16d5ee1038f0ec
|
[
"MIT"
] | 13,889
|
2015-01-01T06:43:41.000Z
|
2022-03-31T17:37:56.000Z
|
kivy/tests/pyinstaller/video_widget/main.py
|
Galland/kivy
|
95a6bf279883d706f645e4629c16d5ee1038f0ec
|
[
"MIT"
] | 4,570
|
2015-01-01T17:58:52.000Z
|
2022-03-31T18:42:16.000Z
|
kivy/tests/pyinstaller/video_widget/main.py
|
Galland/kivy
|
95a6bf279883d706f645e4629c16d5ee1038f0ec
|
[
"MIT"
] | 3,786
|
2015-01-01T09:20:45.000Z
|
2022-03-30T21:15:05.000Z
|
from project import VideoApp
if __name__ == '__main__':
from kivy.core.video import Video
assert Video is not None
VideoApp().run()
| 20.714286
| 37
| 0.703448
| 20
| 145
| 4.7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.213793
| 145
| 6
| 38
| 24.166667
| 0.824561
| 0
| 0
| 0
| 0
| 0
| 0.055172
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
| 0
| 0
|
0
| 4
|
e5af288aebb92a0e25c6b1de513eab1a11ddb3cc
| 130
|
py
|
Python
|
main/forms.py
|
olekthunder/fontcrawler
|
6de2316cade0030e81c740cb1c619123b40c5d84
|
[
"MIT"
] | null | null | null |
main/forms.py
|
olekthunder/fontcrawler
|
6de2316cade0030e81c740cb1c619123b40c5d84
|
[
"MIT"
] | null | null | null |
main/forms.py
|
olekthunder/fontcrawler
|
6de2316cade0030e81c740cb1c619123b40c5d84
|
[
"MIT"
] | null | null | null |
from django import forms
class ParsePageForm(forms.Form):
url = forms.URLField(label='Enter page link here', required=True)
| 21.666667
| 69
| 0.753846
| 18
| 130
| 5.444444
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146154
| 130
| 5
| 70
| 26
| 0.882883
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e5c4c77cc5c7f1e1e8147e431deff47791149ce8
| 393
|
py
|
Python
|
qt/__init__.py
|
BradleyCSO/university-thesis
|
644129f3fdeedf76516974acabec6007d123ee95
|
[
"MIT"
] | null | null | null |
qt/__init__.py
|
BradleyCSO/university-thesis
|
644129f3fdeedf76516974acabec6007d123ee95
|
[
"MIT"
] | null | null | null |
qt/__init__.py
|
BradleyCSO/university-thesis
|
644129f3fdeedf76516974acabec6007d123ee95
|
[
"MIT"
] | null | null | null |
from qt.CandlestickChart import CandlestickChart
from qt.CurrencyListModel import CurrencyListModel
from qt.HistoricTreeModel import HistoricTreeModel
from qt.ItemRoles import ItemRoles
from qt.ModeModel import ModeModel
from qt.CurrencyChart import CurrencyChart
from qt.SeriesFilter import SeriesFilter
from qt.DollarIndexChart import DollarIndexChart
from qt.ChartWidget import ChartWidget
| 39.3
| 50
| 0.885496
| 45
| 393
| 7.733333
| 0.266667
| 0.155172
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091603
| 393
| 9
| 51
| 43.666667
| 0.97479
| 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
| 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
| 4
|
e5d790bbdecf4b746b4b89c4021dcb6f8756d53d
| 269
|
py
|
Python
|
tests/test_router.py
|
Slanman3755/VERAS
|
07a6b26f9360e7bc605b767489cc86c683b57fae
|
[
"MIT"
] | null | null | null |
tests/test_router.py
|
Slanman3755/VERAS
|
07a6b26f9360e7bc605b767489cc86c683b57fae
|
[
"MIT"
] | null | null | null |
tests/test_router.py
|
Slanman3755/VERAS
|
07a6b26f9360e7bc605b767489cc86c683b57fae
|
[
"MIT"
] | null | null | null |
import pytest
from veras import router
@pytest.mark.parametrize("origin, destination, expected", [
("KLAX", "KSFO", "SUMMR2 STOKD SERFR SERFR4"),
])
def test_find_route(origin, destination, expected):
assert router.find_route(origin, destination) == expected
| 26.9
| 61
| 0.739777
| 32
| 269
| 6.125
| 0.65625
| 0.260204
| 0.382653
| 0.265306
| 0.346939
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008584
| 0.133829
| 269
| 9
| 62
| 29.888889
| 0.832618
| 0
| 0
| 0
| 0
| 0
| 0.230483
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0.142857
| false
| 0
| 0.285714
| 0
| 0.428571
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
e5e3434b99ba90664e890a00905fa850282db2f4
| 161
|
py
|
Python
|
web_aggregator/wsgi.py
|
shenoy-anurag/Aggre-Gator
|
35b044c67f4e1e4c07c47436b384e720cec050de
|
[
"MIT"
] | 1
|
2022-03-21T01:38:24.000Z
|
2022-03-21T01:38:24.000Z
|
web_aggregator/wsgi.py
|
shenoy-anurag/Aggre-Gator
|
35b044c67f4e1e4c07c47436b384e720cec050de
|
[
"MIT"
] | 1
|
2022-03-25T04:40:40.000Z
|
2022-03-25T04:44:29.000Z
|
web_aggregator/wsgi.py
|
shenoy-anurag/Aggre-Gator
|
35b044c67f4e1e4c07c47436b384e720cec050de
|
[
"MIT"
] | null | null | null |
import os
from web_aggregator.server import app
if __name__ == "__main__":
app.run(port=5005, debug=True if os.environ.get('FLASK_DEBUG') == 1 else False)
| 23
| 83
| 0.726708
| 26
| 161
| 4.115385
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036496
| 0.149068
| 161
| 6
| 84
| 26.833333
| 0.744526
| 0
| 0
| 0
| 0
| 0
| 0.118012
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f903501c61d25ee0ce5061ef31b1fcdbdde71265
| 57
|
py
|
Python
|
copusher/__main__.py
|
YuraLukashik/copusher
|
8d6c6a4c5c075de6f7770833bfe9f452fa1ba872
|
[
"MIT"
] | 3
|
2015-10-02T21:36:28.000Z
|
2015-10-04T09:40:01.000Z
|
copusher/__main__.py
|
YuraLukashik/copusher
|
8d6c6a4c5c075de6f7770833bfe9f452fa1ba872
|
[
"MIT"
] | 3
|
2015-10-05T20:27:37.000Z
|
2015-10-05T20:41:58.000Z
|
copusher/__main__.py
|
YuraLukashik/copusher
|
8d6c6a4c5c075de6f7770833bfe9f452fa1ba872
|
[
"MIT"
] | null | null | null |
from copusher import Copusher
app = Copusher()
app.run()
| 14.25
| 29
| 0.754386
| 8
| 57
| 5.375
| 0.625
| 0.511628
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 57
| 4
| 30
| 14.25
| 0.877551
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f9097e8cca24bce434e03574b731725e7a9679f5
| 285
|
py
|
Python
|
arithmetics/calculate.py
|
SabeloX/Arithmetics-X
|
79d91ad6bbbc4cea1684f17d5402f95e5c08aa5b
|
[
"MIT"
] | null | null | null |
arithmetics/calculate.py
|
SabeloX/Arithmetics-X
|
79d91ad6bbbc4cea1684f17d5402f95e5c08aa5b
|
[
"MIT"
] | null | null | null |
arithmetics/calculate.py
|
SabeloX/Arithmetics-X
|
79d91ad6bbbc4cea1684f17d5402f95e5c08aa5b
|
[
"MIT"
] | null | null | null |
# Subtract numbers module
class Calculate:
def sub(a, b):
"""Substract two numbers"""
return a - b
def add(a, b):
"""Add two numbers"""
return a + b
def mult(a, b):
"""Product of two numbers"""
return a * b
def div(a, b):
"""Divide two numbers"""
return a / b
| 14.25
| 30
| 0.585965
| 46
| 285
| 3.630435
| 0.391304
| 0.095808
| 0.383234
| 0.407186
| 0.48503
| 0.377246
| 0
| 0
| 0
| 0
| 0
| 0
| 0.252632
| 285
| 19
| 31
| 15
| 0.784038
| 0.364912
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.444444
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
00654e5c267059b1488e01e337a829cabd284849
| 136
|
py
|
Python
|
100 Curso aulapharos/008 BibliotecasModulos/005 Spyder scikit-learn/scikit-learn001.py
|
malcabaut/AprendiendoPython
|
b1e8731f1614b08b5ace1b7d1ecbeb041b21f28b
|
[
"MIT"
] | null | null | null |
100 Curso aulapharos/008 BibliotecasModulos/005 Spyder scikit-learn/scikit-learn001.py
|
malcabaut/AprendiendoPython
|
b1e8731f1614b08b5ace1b7d1ecbeb041b21f28b
|
[
"MIT"
] | null | null | null |
100 Curso aulapharos/008 BibliotecasModulos/005 Spyder scikit-learn/scikit-learn001.py
|
malcabaut/AprendiendoPython
|
b1e8731f1614b08b5ace1b7d1ecbeb041b21f28b
|
[
"MIT"
] | null | null | null |
import pandas as pd
import numpy as np
USAhousing = pd.read_csv('USA_Housing.csv')
print(USAhousing.head())
print(USAhousing.tail())
| 27.2
| 44
| 0.757353
| 21
| 136
| 4.809524
| 0.666667
| 0.29703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 136
| 5
| 45
| 27.2
| 0.841667
| 0
| 0
| 0
| 0
| 0
| 0.109489
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0.4
| 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
| 0
| 0
|
0
| 4
|
00a076a2c7d2b2d9df48362878968ae26db786c7
| 515
|
py
|
Python
|
ps4rp/dirs.py
|
kingcreek/ps4-remote-play
|
b7dec18ef4ad3252816ba45084cc393cc655509b
|
[
"Apache-2.0"
] | 10
|
2019-07-01T07:52:02.000Z
|
2021-12-09T10:00:40.000Z
|
ps4rp/dirs.py
|
industriousonesoft/ps4-remote-play
|
08670e786ef3071849e9413eea3d7924835ea3c7
|
[
"Apache-2.0"
] | null | null | null |
ps4rp/dirs.py
|
industriousonesoft/ps4-remote-play
|
08670e786ef3071849e9413eea3d7924835ea3c7
|
[
"Apache-2.0"
] | 4
|
2019-07-04T05:57:03.000Z
|
2021-06-22T05:05:17.000Z
|
# Copyright (c) 2018, Pierre Bourdon <delroth@gmail.com>
# SPDX-License-Identifier: Apache-2.0
"""
Utility module to locate filesystem directories relevant to ps4rp. Conforms to
the XDG spec on Linux. MacOS and Windows support are TODO.
"""
import functools
from xdg import BaseDirectory
_XDG_RESOURCE = 'ps4-remote-play'
@functools.lru_cache()
def cache():
return BaseDirectory.save_cache_path(_XDG_RESOURCE)
@functools.lru_cache()
def config():
return BaseDirectory.save_config_path(_XDG_RESOURCE)
| 22.391304
| 78
| 0.774757
| 71
| 515
| 5.450704
| 0.690141
| 0.085271
| 0.087855
| 0.103359
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017897
| 0.132039
| 515
| 22
| 79
| 23.409091
| 0.847875
| 0.44466
| 0
| 0.222222
| 0
| 0
| 0.054152
| 0
| 0
| 0
| 0
| 0.045455
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.222222
| 0.666667
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
00af2de10a0f6f1bbba11dae398ff9abe1b61526
| 18
|
py
|
Python
|
SearchForDividingCircle/__init__.py
|
Alladin9393/Search-For-Dividing-Circle
|
4579be4dadc32cc9d66cca5e303bdde8a24cf99c
|
[
"MIT"
] | null | null | null |
SearchForDividingCircle/__init__.py
|
Alladin9393/Search-For-Dividing-Circle
|
4579be4dadc32cc9d66cca5e303bdde8a24cf99c
|
[
"MIT"
] | null | null | null |
SearchForDividingCircle/__init__.py
|
Alladin9393/Search-For-Dividing-Circle
|
4579be4dadc32cc9d66cca5e303bdde8a24cf99c
|
[
"MIT"
] | null | null | null |
"""Perceptron."""
| 9
| 17
| 0.555556
| 1
| 18
| 10
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 18
| 1
| 18
| 18
| 0.588235
| 0.611111
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
00c1b07c733730848e466e75f75243d53eb2c0e3
| 188
|
py
|
Python
|
src/template_specialize/__main__.py
|
joshuahlang/template-specialize
|
79ae388363a1dbb623bd8e455f6ac4a392e9857d
|
[
"MIT"
] | null | null | null |
src/template_specialize/__main__.py
|
joshuahlang/template-specialize
|
79ae388363a1dbb623bd8e455f6ac4a392e9857d
|
[
"MIT"
] | null | null | null |
src/template_specialize/__main__.py
|
joshuahlang/template-specialize
|
79ae388363a1dbb623bd8e455f6ac4a392e9857d
|
[
"MIT"
] | null | null | null |
# Licensed under the MIT License
# https://github.com/craigahobbs/template-specialize/blob/master/LICENSE
from .main import main
if __name__ == '__main__':
main() # pragma: no cover
| 23.5
| 72
| 0.739362
| 25
| 188
| 5.24
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143617
| 188
| 7
| 73
| 26.857143
| 0.813665
| 0.62766
| 0
| 0
| 0
| 0
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
00d67cde2942d6c78100b5599569ddd868d1f127
| 401
|
py
|
Python
|
icenumerics/__init__.py
|
aortiza/icenumerics
|
983bfff616f5bedee0ccefd0f9fad10e50e23e83
|
[
"MIT"
] | null | null | null |
icenumerics/__init__.py
|
aortiza/icenumerics
|
983bfff616f5bedee0ccefd0f9fad10e50e23e83
|
[
"MIT"
] | 8
|
2019-10-04T09:04:23.000Z
|
2021-09-29T18:01:21.000Z
|
icenumerics/__init__.py
|
aortiza/icenumerics
|
983bfff616f5bedee0ccefd0f9fad10e50e23e83
|
[
"MIT"
] | 1
|
2019-10-10T10:25:43.000Z
|
2019-10-10T10:25:43.000Z
|
from pint import UnitRegistry
import sys
try:
from .magcolloids import magcolloids as mc
except ImportError as e:
try:
import magcolloids as mc
except ImportError as e:
raise ImportError
ureg = mc.ureg
from icenumerics.spins import *
from icenumerics.colloidalice import *
from icenumerics.vertices import *
from icenumerics.trajectory import *
__version__ = "0.1.9"
| 20.05
| 46
| 0.740648
| 51
| 401
| 5.745098
| 0.45098
| 0.204778
| 0.215017
| 0.143345
| 0.279863
| 0.279863
| 0.279863
| 0.279863
| 0
| 0
| 0
| 0.009464
| 0.209476
| 401
| 20
| 47
| 20.05
| 0.914827
| 0
| 0
| 0.266667
| 0
| 0
| 0.012438
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.733333
| 0
| 0.733333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
00efea5862fe978d343d39220b750e7528a3d743
| 760
|
py
|
Python
|
django_mri/analysis/interfaces/matlab/spm/cat12/segmentation/messages.py
|
GalBenZvi/django_mri
|
558e9187a6ba18b7ba69aced919a6f94d066a2fc
|
[
"Apache-2.0"
] | 4
|
2020-07-27T20:33:54.000Z
|
2022-01-11T20:24:03.000Z
|
django_mri/analysis/interfaces/matlab/spm/cat12/segmentation/messages.py
|
GalBenZvi/django_mri
|
558e9187a6ba18b7ba69aced919a6f94d066a2fc
|
[
"Apache-2.0"
] | 107
|
2019-09-04T11:38:46.000Z
|
2022-03-04T13:59:51.000Z
|
django_mri/analysis/interfaces/matlab/spm/cat12/segmentation/messages.py
|
GalBenZvi/django_mri
|
558e9187a6ba18b7ba69aced919a6f94d066a2fc
|
[
"Apache-2.0"
] | 2
|
2020-05-24T06:35:33.000Z
|
2020-06-14T13:15:32.000Z
|
"""
A module storing strings used to display messages.
"""
INVALID_INTERNAL_RESAMPLING_OPTIMAL = "Invalid CAT12 configuration! Resampling type 'optimal' can only be set with an internal resampling value of 1. Valid configuration coerced."
INVALID_INTERNAL_RESAMPLING_FIXED = "Invalid CAT12 configuration! Resampling type 'fixed' can only be set with an internal resampling value of 1.0 or 0.8. Configuration coerced to 1.0."
INVALID_INTERNAL_RESAMPLING_BEST = "Invalid CAT12 configuration! Resampling type 'best' can only be set with an internal resampling value of 0.5. Valid configuration coerced."
INVALID_RESAMPLING_TYPE = "Invalid CAT12 configuration (resampling_type={resampling_type})! Valid resampling type values are: 'optimal', 'fixed', or 'best'."
| 84.444444
| 185
| 0.803947
| 106
| 760
| 5.641509
| 0.320755
| 0.16388
| 0.167224
| 0.234114
| 0.479933
| 0.219064
| 0.219064
| 0.219064
| 0.219064
| 0.219064
| 0
| 0.025564
| 0.125
| 760
| 8
| 186
| 95
| 0.873684
| 0.065789
| 0
| 0
| 0
| 1
| 0.787749
| 0.051282
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
daf43929c63a91296af7f91752de34c0452af614
| 231
|
py
|
Python
|
dark_proteome_visualization/handlers/__init__.py
|
Zethson/dark-proteome-visualization
|
fef978e967c8c655f13c9d7bdc4b0ea6722c1702
|
[
"MIT"
] | 2
|
2019-01-12T19:59:56.000Z
|
2019-01-19T08:48:33.000Z
|
dark_proteome_visualization/handlers/__init__.py
|
Zethson/dark-proteome-visualization
|
fef978e967c8c655f13c9d7bdc4b0ea6722c1702
|
[
"MIT"
] | 23
|
2018-12-18T21:04:17.000Z
|
2019-01-23T19:16:15.000Z
|
dark_proteome_visualization/handlers/__init__.py
|
Zethson/dark-proteome-visualization
|
fef978e967c8c655f13c9d7bdc4b0ea6722c1702
|
[
"MIT"
] | 1
|
2019-01-12T21:08:04.000Z
|
2019-01-12T21:08:04.000Z
|
# Import all handlers here
from . import favicon
from . import index
from . import generic
from . import elements
from . import about
from . import explore
from . import analyze
from . import features
from . import contact_request
| 21
| 29
| 0.779221
| 32
| 231
| 5.59375
| 0.46875
| 0.502793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177489
| 231
| 10
| 30
| 23.1
| 0.942105
| 0.103896
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
970a9d3e9d746e1c16f29ba79d77121d2113ea09
| 289,399
|
py
|
Python
|
src/LDAPython.py
|
Sapphirine/Myusic-Song-Clustering-and-Recommendation-based-on-Lyrics
|
cfddec84da2f057c51834c082813035a71361af0
|
[
"Apache-2.0"
] | 2
|
2018-04-26T03:00:35.000Z
|
2019-01-09T10:05:48.000Z
|
src/LDAPython.py
|
Sapphirine/Myusic-Song-Clustering-and-Recommendation-based-on-Lyrics
|
cfddec84da2f057c51834c082813035a71361af0
|
[
"Apache-2.0"
] | null | null | null |
src/LDAPython.py
|
Sapphirine/Myusic-Song-Clustering-and-Recommendation-based-on-Lyrics
|
cfddec84da2f057c51834c082813035a71361af0
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
import lda
import lda.datasets
import pandas as pd
import sys
import pickle
from os import listdir
from os.path import isfile, join
mypath = '/home/parth/Documents/BigDataAnalytics/LDA/Myusic/src'
def generateVocab():
dictionary = 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10922,'raincoat':3332,'launch':1395,'schoolboy':6540,'king':1285,'kind':559,'version':8528,'sages':8729,'apprentice':16706,'command':6295,'fisrt':9502,'shana':10155,'voracious':12647,'boundless':16718,'trailers':13568,'figured':4212,'brim':11064,'jealousy':10188,'cater':14744,'reacting':8774,'dualseaters':18316,'gloves':9449,'stockman':1971,'figures':7571,'breakin':5197,'shouting':1902,'shank':11213,'stressin':11113,'blasphemy':1293,'collagen':10197,'aahaah':5225,'sanctumdio':14456,'browwwwwwwwn':16660,'clearing':5848,'eeeeh':16381,'dials':13044,'fists':4443,'kill':581,'shitll':15504,'justly':3157,'tttickets':16013,'trifling':4781,'shooter':10653,'mmhmmmmm':14579,'newscaster':11667,'scarecrow':12329,'woman':1673,'neighbour':2850,'cambodia':11334,'kadafi':11225,'persistance':7159,'diana':8545,'obedience':9960,'leaks':16460,'shape':2346,'kimi':13687,'delusion':7690,'marquesas':17303,'giggling':7427,'kilo':14965,'faggot':1771,'fingerprints':8810,'diane':11551,'stumps':6348,'headline':10768,'afrocentric':12063,'poppadums':7564,'dibbie':16011,'davis':1884,'jewish':18335,'direction':4409,'lawsuits':18559,'romantics':8434,'nuestro':12554,'scareder':14183,'miniature':11142,'zooropa':18799,'share':2392,'shard':14577,'weekday':18201,'soundin':5901,'elbows':17372,'jelly':8520,'skinny':5511,'steadfast':15815,'sharp':1698,'justin':11558,'descendant':11708,'diarrhoea':18526,'stressed':5633,'godly':3139,'women':1591,'hedge':4001,'hannibal':8684,'massive':16643,'popping':4356,'verona':7281,'decisive':15909,'sanders':6585,'downstroke':7877,'claimed':14015,'adidas':14457,'crippled':11116}
#print max(dictionary.values())
vocab = [None] * (max(dictionary.values())+1)
for key in dictionary.keys():
vocab[dictionary[key]] = key
return vocab
def generateMatrix():
X = []
for line in open(mypath+'Vectorized_Matrix.txt','r').readlines():
X.append(map(lambda x:int(x),line.split()))
X = np.asarray(X)
return X
def main():
#X = lda.datasets.load_reuters()
#------------------------------Generate InputMatrix-----------------------------------------
X = generateMatrix()
#------------------------------Generate Voabulary-------------------------------------------
vocab = generateVocab()
#titles = lda.datasets.load_reuters_titles()
#------------------------------Extracting Song Titles---------------------------------------
files = [f for f in listdir(mypath+'/../Songs/') if isfile(join(mypath+'/../Songs/', f))]
files.sort()
#print X.shape
#print X.sum()
#-------------------------------Running the LDA Model---------------------------------------
# model = lda.LDA(n_topics=20, n_iter=1500, random_state=1)
# model.fit(X) # model.fit_transform(X) is also available
#-------------------------------Main parameters to be used from the model------------------
# topic_word = model.topic_word_
# doc_topic = model.doc_topic_
doc_topic = pickle.load( open( "doc_topic.p", "rb" ) )
topic_word = pickle.load( open( "topic_word.p", "rb" ) )
n_top_words = 10
clusters = []
for i, topic_dist in enumerate(topic_word):
cluster_dict = dict()
cluster_dict['Cluster_id'] = i
cluster_dict['Songs'] = []
for j in range(X.shape[0]):
if doc_topic[j].argmax() == i:
cluster_dict['Songs'].append(files[j])
cluster_dict['Weight'] = len(cluster_dict['Songs'])
cluster_dict['Words'] = np.array(vocab)[np.argsort(topic_dist)][:-(n_top_words+1):-1]
cluster_dict['Topic'] = ','.join(cluster_dict['Words'][:3])
clusters.append(cluster_dict)
pickle.dump(clusters, open( "clusters.p", "wb" ) )
for i, topic_dist in enumerate(topic_word):
topic_words = np.array(vocab)[np.argsort(topic_dist)][:-(n_top_words+1):-1]
print('Topic {}: {}'.format(i, ' '.join(topic_words)))
# for i in range(len(clusters)):
# print clusters[i]['Weight']
# pickle.dump(topic_word, open( "topic_word.p", "wb" ) )
# pickle.dump(doc_topic, open( "doc_topic.p", "wb" ) )
if __name__ =='__main__':
main()
| 3,663.278481
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0
| 4
|
972814d7efd10a88359d92bf39156c062b569b1e
| 124
|
py
|
Python
|
src/tissue_purifier/data/__init__.py
|
broadinstitute/tissue_purifier
|
989ce9d58bba99a3f1c49743eed22dcc64e5f159
|
[
"Apache-2.0"
] | null | null | null |
src/tissue_purifier/data/__init__.py
|
broadinstitute/tissue_purifier
|
989ce9d58bba99a3f1c49743eed22dcc64e5f159
|
[
"Apache-2.0"
] | null | null | null |
src/tissue_purifier/data/__init__.py
|
broadinstitute/tissue_purifier
|
989ce9d58bba99a3f1c49743eed22dcc64e5f159
|
[
"Apache-2.0"
] | null | null | null |
from .datamodule import AnndataFolderDM
from .sparse_image import SparseImage
__all__ = ["AnndataFolderDM", "SparseImage"]
| 24.8
| 44
| 0.814516
| 12
| 124
| 8
| 0.666667
| 0
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| 0.104839
| 124
| 4
| 45
| 31
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| 1
| 0
| 1
| 0
|
0
| 4
|
973521c401b34701c453dfa3d0095c15f87e5d02
| 32
|
py
|
Python
|
rust/origen/cli/src/commands/new/templates/py_app/targets/tester/smt7.py
|
Origen-SDK/o2
|
5b0f9a6d113ddebc73c7ee224931e8b2d0301794
|
[
"MIT"
] | null | null | null |
rust/origen/cli/src/commands/new/templates/py_app/targets/tester/smt7.py
|
Origen-SDK/o2
|
5b0f9a6d113ddebc73c7ee224931e8b2d0301794
|
[
"MIT"
] | 127
|
2019-11-23T17:09:35.000Z
|
2021-09-02T11:06:20.000Z
|
rust/origen/cli/src/commands/new/templates/py_app/targets/tester/smt7.py
|
Origen-SDK/o2
|
5b0f9a6d113ddebc73c7ee224931e8b2d0301794
|
[
"MIT"
] | null | null | null |
origen.tester.target("V93KSMT7")
| 32
| 32
| 0.8125
| 4
| 32
| 6.5
| 1
| 0
| 0
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| 0
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| 0.09375
| 0
| 32
| 1
| 32
| 32
| 0.71875
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| 0
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| true
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
97353dfc29b5c175d982a6f691be917bfe01e98e
| 136
|
py
|
Python
|
testing/utils.py
|
grantsrb/planet
|
a5d2b0810f8f5db178912b7c1a3490de2c60634b
|
[
"MIT"
] | null | null | null |
testing/utils.py
|
grantsrb/planet
|
a5d2b0810f8f5db178912b7c1a3490de2c60634b
|
[
"MIT"
] | null | null | null |
testing/utils.py
|
grantsrb/planet
|
a5d2b0810f8f5db178912b7c1a3490de2c60634b
|
[
"MIT"
] | null | null | null |
class RigPacket:
def __init__(self, velocity=0, direction=0):
self.velocity = velocity
self.direction = direction
| 19.428571
| 48
| 0.661765
| 15
| 136
| 5.733333
| 0.533333
| 0.27907
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019608
| 0.25
| 136
| 6
| 49
| 22.666667
| 0.823529
| 0
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| 0.25
| false
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| null | 1
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| 0
| 0
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| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
977e5dcc4d214a594aaf7f1f56a24722e9990efe
| 1,440
|
py
|
Python
|
location_register/serializers/ratu_serializers.py
|
Anntroy/Data_converter
|
82e8fcb6a2b4611ad39e122e2730d6656b43b062
|
[
"MIT"
] | null | null | null |
location_register/serializers/ratu_serializers.py
|
Anntroy/Data_converter
|
82e8fcb6a2b4611ad39e122e2730d6656b43b062
|
[
"MIT"
] | null | null | null |
location_register/serializers/ratu_serializers.py
|
Anntroy/Data_converter
|
82e8fcb6a2b4611ad39e122e2730d6656b43b062
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from location_register.models.ratu_models import Region, District, City, CityDistrict, Street
class RegionSerializer(serializers.ModelSerializer):
class Meta:
model = Region
fields = ('id', 'name', 'koatuu')
class DistrictSerializer(serializers.ModelSerializer):
region = serializers.CharField(max_length=30)
class Meta:
model = District
fields = ('id', 'region', 'name', 'koatuu')
class CitySerializer(serializers.ModelSerializer):
region = serializers.CharField(max_length=30)
district = serializers.CharField(max_length=100)
class Meta:
model = City
fields = ('id', 'region', 'district', 'name', 'koatuu')
class CityDistrictSerializer(serializers.ModelSerializer):
region = serializers.CharField(max_length=30)
district = serializers.CharField(max_length=100)
city = serializers.CharField(max_length=100)
class Meta:
model = CityDistrict
fields = ('id', 'region', 'district', 'city', 'name', 'koatuu')
class StreetSerializer(serializers.ModelSerializer):
region = serializers.CharField(max_length=30)
district = serializers.CharField(max_length=100)
city = serializers.CharField(max_length=100)
citydistrict = serializers.CharField(max_length=100)
class Meta:
model = Street
fields = ('id', 'region', 'district', 'citydistrict', 'city', 'name')
| 31.304348
| 93
| 0.7
| 146
| 1,440
| 6.815068
| 0.219178
| 0.201005
| 0.231156
| 0.291457
| 0.520603
| 0.520603
| 0.520603
| 0.520603
| 0.382915
| 0.382915
| 0
| 0.022109
| 0.183333
| 1,440
| 46
| 94
| 31.304348
| 0.82398
| 0
| 0
| 0.4375
| 0
| 0
| 0.084663
| 0
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| 1
| 0
| false
| 0
| 0.0625
| 0
| 0.6875
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| null | 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
97aa84f3016955d3e64cde4032643625a6eea751
| 215
|
py
|
Python
|
main_app/needs/__init__.py
|
sashalavrus/cost_app
|
cc7443a2ac3f7b61d4ec94c83026d1cc056e7cf4
|
[
"MIT"
] | null | null | null |
main_app/needs/__init__.py
|
sashalavrus/cost_app
|
cc7443a2ac3f7b61d4ec94c83026d1cc056e7cf4
|
[
"MIT"
] | 4
|
2020-06-26T13:57:34.000Z
|
2022-03-12T00:37:34.000Z
|
main_app/needs/__init__.py
|
sashalavrus/cost_app
|
cc7443a2ac3f7b61d4ec94c83026d1cc056e7cf4
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
needs = Blueprint('needs', __name__)
from . import views
from ..models import Permission
@needs.app_context_processor
def inject_permissions():
return dict(Permission=Permission)
| 17.916667
| 38
| 0.786047
| 26
| 215
| 6.230769
| 0.653846
| 0.17284
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134884
| 215
| 11
| 39
| 19.545455
| 0.870968
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.428571
| 0.142857
| 0.714286
| 0.285714
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
8adfcb4a89414d6ae6501e94a82030ed102481f6
| 1,250
|
py
|
Python
|
pyreach/gyms/force_torque_sensor_element.py
|
google-research/pyreach
|
f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159
|
[
"Apache-2.0"
] | 13
|
2021-09-01T01:10:22.000Z
|
2022-03-05T10:01:52.000Z
|
pyreach/gyms/force_torque_sensor_element.py
|
google-research/pyreach
|
f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159
|
[
"Apache-2.0"
] | null | null | null |
pyreach/gyms/force_torque_sensor_element.py
|
google-research/pyreach
|
f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159
|
[
"Apache-2.0"
] | 6
|
2021-09-20T21:17:53.000Z
|
2022-03-14T18:42:48.000Z
|
# Copyright 2021 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Reach force torque sensor arm element used for configuration."""
import dataclasses
from pyreach.gyms import reach_element
@dataclasses.dataclass(frozen=True)
class ReachForceTorqueSensor(reach_element.ReachElement):
"""Represents a Reach Force Torque Sensor configuration.
Attributes:
reach_name: The underlying Reach device type name of the force torque
sensor. May be empty.
is_synchronous: If True, the next Gym observation will synchronize all
observations element that have this flag set otherwise the next
observation is asynchronous. This argument is optional and defaults to
False.
"""
is_synchronous: bool = False
| 35.714286
| 77
| 0.7632
| 176
| 1,250
| 5.392045
| 0.625
| 0.063224
| 0.053741
| 0.03372
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007805
| 0.18
| 1,250
| 34
| 78
| 36.764706
| 0.918049
| 0.804
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8afab882e2218248fa164c686ebc1e39b71d422a
| 200
|
py
|
Python
|
ui/context_processors.py
|
usgin/nrrc-repository
|
057990f8baf0e3f9aa48e21447750cfd7cb8f521
|
[
"BSD-3-Clause"
] | null | null | null |
ui/context_processors.py
|
usgin/nrrc-repository
|
057990f8baf0e3f9aa48e21447750cfd7cb8f521
|
[
"BSD-3-Clause"
] | 2
|
2018-03-07T19:57:29.000Z
|
2018-11-08T02:43:29.000Z
|
ui/context_processors.py
|
usgin/nrrc-repository
|
057990f8baf0e3f9aa48e21447750cfd7cb8f521
|
[
"BSD-3-Clause"
] | null | null | null |
from ui.config import SITE_CONFIG
from django.contrib.sites.models import Site
def basics(req):
result = SITE_CONFIG
result['domain'] = Site.objects.get_current().domain
return result
| 28.571429
| 56
| 0.74
| 28
| 200
| 5.178571
| 0.642857
| 0.137931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.17
| 200
| 7
| 57
| 28.571429
| 0.873494
| 0
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| 0
| 0
| 0
| 0.029851
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
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| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8afc468f9e6f8599e911bf9811922722c2dee1d9
| 89
|
py
|
Python
|
apps/exotics/apps.py
|
kngeno/telelbirds
|
924bb2f1c397bbab2bd626d582c8e86704d86176
|
[
"MIT"
] | 2
|
2021-01-05T06:16:32.000Z
|
2021-09-09T10:42:53.000Z
|
apps/exotics/apps.py
|
kngeno/telelbirds
|
924bb2f1c397bbab2bd626d582c8e86704d86176
|
[
"MIT"
] | null | null | null |
apps/exotics/apps.py
|
kngeno/telelbirds
|
924bb2f1c397bbab2bd626d582c8e86704d86176
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class ExoticsConfig(AppConfig):
name = 'exotics'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c111d3a09ac1756da66c85eca94df0cc32eea5c0
| 111
|
py
|
Python
|
Reliquary/src/com/duckandcover/scripting/startUp.py
|
NicholasWMRitchie/Roentgen
|
25bab277e5a989d6c71d8228c0b409be5735e807
|
[
"Apache-2.0"
] | 2
|
2020-12-03T19:11:54.000Z
|
2021-01-12T00:47:35.000Z
|
Reliquary/src/com/duckandcover/scripting/startUp.py
|
NicholasWMRitchie/Roentgen
|
25bab277e5a989d6c71d8228c0b409be5735e807
|
[
"Apache-2.0"
] | 17
|
2020-12-21T16:44:40.000Z
|
2022-02-01T00:57:13.000Z
|
Reliquary/src/com/duckandcover/scripting/startUp.py
|
usnistgov/Roentgen
|
269d9195bbd15d9b68321feb7356eb71bbdb6a15
|
[
"Apache-2.0"
] | null | null | null |
import com.duckandcover.scripting as _dacs
sys.setClassLoader(_dacs.ScriptClassLoader(sys.getClassLoader()))
| 37
| 66
| 0.837838
| 12
| 111
| 7.583333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063063
| 111
| 2
| 67
| 55.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c11822cb6743c61b59073cf4cb4b215f60617d68
| 117
|
py
|
Python
|
docs/code_snippets/hello_world_infix.py
|
Ying1123/pysmt
|
7aa2835ba46f69bfd7ca8004a3e0d1da6a4c94fa
|
[
"Apache-2.0"
] | 435
|
2015-02-07T14:48:42.000Z
|
2022-03-28T13:19:45.000Z
|
docs/code_snippets/hello_world_infix.py
|
Ying1123/pysmt
|
7aa2835ba46f69bfd7ca8004a3e0d1da6a4c94fa
|
[
"Apache-2.0"
] | 490
|
2015-02-17T16:22:49.000Z
|
2022-03-29T11:52:06.000Z
|
docs/code_snippets/hello_world_infix.py
|
Ying1123/pysmt
|
7aa2835ba46f69bfd7ca8004a3e0d1da6a4c94fa
|
[
"Apache-2.0"
] | 131
|
2015-02-06T18:29:37.000Z
|
2021-12-04T17:31:17.000Z
|
from pysmt.shortcuts import Symbol
from pysmt.typing import INT
h = Symbol("H", INT)
domain = (1 <= h) & (10 >= h)
| 16.714286
| 34
| 0.649573
| 19
| 117
| 4
| 0.578947
| 0.236842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031915
| 0.196581
| 117
| 6
| 35
| 19.5
| 0.776596
| 0
| 0
| 0
| 0
| 0
| 0.008547
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
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| 0
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| null | 1
| 0
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| 0
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| 0
| 0
| 0
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c11b82d96385898712f074e13e783e965de9c1d5
| 311
|
py
|
Python
|
api/notificationserializer.py
|
Sinma1/tricityTrafficAPI
|
bb5eba5c3caa081d30883e1ee1e0b3381d3741a2
|
[
"MIT"
] | null | null | null |
api/notificationserializer.py
|
Sinma1/tricityTrafficAPI
|
bb5eba5c3caa081d30883e1ee1e0b3381d3741a2
|
[
"MIT"
] | null | null | null |
api/notificationserializer.py
|
Sinma1/tricityTrafficAPI
|
bb5eba5c3caa081d30883e1ee1e0b3381d3741a2
|
[
"MIT"
] | 3
|
2018-11-25T15:46:41.000Z
|
2018-11-27T11:59:38.000Z
|
from rest_framework import serializers
from shared.models import Notification
class NotificationSerializer(serializers.Serializer):
title = serializers.CharField(max_length=60)
content = serializers.CharField()
date = serializers.DateTimeField()
source = serializers.CharField(max_length=50)
| 28.272727
| 53
| 0.794212
| 32
| 311
| 7.625
| 0.65625
| 0.245902
| 0.188525
| 0.237705
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014815
| 0.131833
| 311
| 10
| 54
| 31.1
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.285714
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
c13319ebe56efb2e0a661c2bf9942592b7d2b856
| 706
|
py
|
Python
|
galleries/sql/queries/data_retriever.py
|
mnicolas94/galleries
|
e1563764f7db699a94884f9dbae1799a0f05c4c0
|
[
"MIT"
] | null | null | null |
galleries/sql/queries/data_retriever.py
|
mnicolas94/galleries
|
e1563764f7db699a94884f9dbae1799a0f05c4c0
|
[
"MIT"
] | null | null | null |
galleries/sql/queries/data_retriever.py
|
mnicolas94/galleries
|
e1563764f7db699a94884f9dbae1799a0f05c4c0
|
[
"MIT"
] | null | null | null |
import abc
import numpy as np
from typing import List, Any, Dict, Optional
from galleries.annotations_filtering.filter import FilterStatement
class SqlDataRetriever:
@abc.abstractmethod
def get_indices(self, cursor, filters: List[List[FilterStatement]] = None):
pass
@abc.abstractmethod
def get_annotations_by_index(self, cursor, index: Any) -> dict:
pass
@abc.abstractmethod
def get_image_by_index(self, cursor, index: Any) -> np.ndarray:
pass
@abc.abstractmethod
def get_annotations_types(self) -> Optional[Dict[str, type]]:
pass
@abc.abstractmethod
def get_discrete_annotations_values(self) -> Dict[str, list]:
pass
| 25.214286
| 79
| 0.703966
| 86
| 706
| 5.627907
| 0.418605
| 0.17562
| 0.206612
| 0.237603
| 0.371901
| 0.260331
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208215
| 706
| 28
| 80
| 25.214286
| 0.865832
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.2
| 0
| 0.5
| 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
| 0
| 0
|
0
| 4
|
c171410988f726a171d676c55f53fe69516ad39a
| 244
|
py
|
Python
|
ProgramacaoFuncional/desafio_mdc.py
|
VictorMello1993/CursoPythonUdemy
|
d3e2e542a7c3d3f9635f2b88d0e75ab4fa84236d
|
[
"MIT"
] | null | null | null |
ProgramacaoFuncional/desafio_mdc.py
|
VictorMello1993/CursoPythonUdemy
|
d3e2e542a7c3d3f9635f2b88d0e75ab4fa84236d
|
[
"MIT"
] | 4
|
2021-04-08T21:54:09.000Z
|
2022-02-10T14:35:13.000Z
|
ProgramacaoFuncional/desafio_mdc.py
|
VictorMello1993/CursoPythonUdemy
|
d3e2e542a7c3d3f9635f2b88d0e75ab4fa84236d
|
[
"MIT"
] | null | null | null |
#Desafio MDC
def mdc(numeros):
pass
if __name__ == '__main__':
print(mdc([21, 7])) #7
print(mdc([125, 40])) #5
print(mdc([9, 564, 66, 3])) #3
print(mdc([55, 22])) #11
print(mdc([15, 150])) #15
print(mdc([7, 9])) #1
| 20.333333
| 34
| 0.520492
| 41
| 244
| 2.902439
| 0.585366
| 0.403361
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.182796
| 0.237705
| 244
| 12
| 35
| 20.333333
| 0.456989
| 0.077869
| 0
| 0
| 0
| 0
| 0.03653
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0.111111
| 0
| 0
| 0.111111
| 0.666667
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 4
|
c17bd371538d14211a06f1c075157df3b2022d1a
| 48
|
py
|
Python
|
Coursera_HW/Week_1/task_4.py
|
IsFelix/ML-HLS_python_course_fall21
|
3119482d2951feb85d8a7819d2beaac947bca5db
|
[
"MIT"
] | null | null | null |
Coursera_HW/Week_1/task_4.py
|
IsFelix/ML-HLS_python_course_fall21
|
3119482d2951feb85d8a7819d2beaac947bca5db
|
[
"MIT"
] | null | null | null |
Coursera_HW/Week_1/task_4.py
|
IsFelix/ML-HLS_python_course_fall21
|
3119482d2951feb85d8a7819d2beaac947bca5db
|
[
"MIT"
] | null | null | null |
N = int(input())
K = int(input())
print(K % N)
| 9.6
| 16
| 0.520833
| 9
| 48
| 2.777778
| 0.555556
| 0.64
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 48
| 4
| 17
| 12
| 0.657895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
c1a563fd1d3a89491d5575fd36cee92bb7b69f8b
| 105
|
py
|
Python
|
core-python-functions-and-functional-programming/closures/__init__.py
|
hassonor/core-python
|
92672aa72c1474061df5247a2dd4dfd9fab1642a
|
[
"MIT"
] | 1
|
2022-03-09T20:58:33.000Z
|
2022-03-09T20:58:33.000Z
|
core-python-functions-and-functional-programming/closures/__init__.py
|
hassonor/core-python
|
92672aa72c1474061df5247a2dd4dfd9fab1642a
|
[
"MIT"
] | null | null | null |
core-python-functions-and-functional-programming/closures/__init__.py
|
hassonor/core-python
|
92672aa72c1474061df5247a2dd4dfd9fab1642a
|
[
"MIT"
] | null | null | null |
"""
def
-> Used to define new functions
-> Binds a function object to a name
-> Executed at runtime
"""
| 13.125
| 36
| 0.67619
| 16
| 105
| 4.4375
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.209524
| 105
| 7
| 37
| 15
| 0.855422
| 0.904762
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
c1a7f8da12b92acb46b3fd0169292132804ef097
| 700
|
py
|
Python
|
slackforms/conf.py
|
Albatrous/django-slack-forms
|
baee37942085bf2f9e35beb9a4a4aa767b319b35
|
[
"MIT"
] | 1
|
2019-06-20T00:11:58.000Z
|
2019-06-20T00:11:58.000Z
|
slackforms/conf.py
|
Albatrous/django-slack-forms
|
baee37942085bf2f9e35beb9a4a4aa767b319b35
|
[
"MIT"
] | 3
|
2020-02-11T23:46:14.000Z
|
2021-06-10T21:10:37.000Z
|
slackforms/conf.py
|
Albatrous/django-slack-forms
|
baee37942085bf2f9e35beb9a4a4aa767b319b35
|
[
"MIT"
] | 3
|
2019-12-13T06:53:18.000Z
|
2021-06-04T07:12:56.000Z
|
"""
Use this file to configure pluggable app settings and resolve defaults
with any overrides set in project settings.
"""
from django.conf import settings as project_settings
class Settings:
pass
Settings.SECRET_KEY = getattr(
project_settings, "SLACKFORMS_SECRET_KEY", "a-bad-secret-key"
)
Settings.SLACK_VERIFICATION_TOKEN = getattr(
project_settings, "SLACKFORMS_SLACK_VERIFICATION_TOKEN", ""
)
Settings.SLACK_BOT_TOKEN = getattr(
project_settings, "SLACKFORMS_SLACK_BOT_TOKEN", ""
)
Settings.SLACK_API_TOKEN = getattr(
project_settings, "SLACKFORMS_SLACK_API_TOKEN", ""
)
Settings.ROOT_URL = getattr(project_settings, "SLACKFORMS_ROOT_URL", "")
settings = Settings
| 21.875
| 72
| 0.774286
| 86
| 700
| 5.988372
| 0.430233
| 0.203884
| 0.213592
| 0.31068
| 0.24466
| 0.24466
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135714
| 700
| 31
| 73
| 22.580645
| 0.85124
| 0.162857
| 0
| 0
| 0
| 0
| 0.247405
| 0.186851
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.058824
| 0.058824
| 0
| 0.117647
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
c1b507da3a12512e9f8ed92013664dadaa72a1cc
| 301
|
py
|
Python
|
File_Path_Operations/test_file_path.py
|
JoeyDeRosa/code_katas
|
261d0e6edb81b710505196969462024cc33b9bd8
|
[
"MIT"
] | null | null | null |
File_Path_Operations/test_file_path.py
|
JoeyDeRosa/code_katas
|
261d0e6edb81b710505196969462024cc33b9bd8
|
[
"MIT"
] | null | null | null |
File_Path_Operations/test_file_path.py
|
JoeyDeRosa/code_katas
|
261d0e6edb81b710505196969462024cc33b9bd8
|
[
"MIT"
] | null | null | null |
'''Test file for file_path_operations.py.'''
master = FileMaster('/Users/person1/Pictures/house.png')
test.describe('Description Test Cases')
test.assert_equals(master.extension(), 'png')
test.assert_equals(master.filename(), 'house')
test.assert_equals(master.dirpath(), '/Users/person1/Pictures/')
| 37.625
| 64
| 0.76412
| 39
| 301
| 5.769231
| 0.538462
| 0.133333
| 0.213333
| 0.293333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007042
| 0.056478
| 301
| 8
| 64
| 37.625
| 0.785211
| 0.126246
| 0
| 0
| 0
| 0
| 0.337209
| 0.22093
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c1fd99dc081e3e0e46f8e173b328ff9442c3aef2
| 68
|
py
|
Python
|
pufferfish/__init__.py
|
JohnUrban/pufferfish
|
27de965b34e87f775ca52daaf544a108a310e9db
|
[
"MIT"
] | 1
|
2017-04-03T19:49:47.000Z
|
2017-04-03T19:49:47.000Z
|
squiggler/__init__.py
|
JohnUrban/squiggler
|
3ae5a1d0568d99bf914ce02a576a41f2e121686a
|
[
"MIT"
] | null | null | null |
squiggler/__init__.py
|
JohnUrban/squiggler
|
3ae5a1d0568d99bf914ce02a576a41f2e121686a
|
[
"MIT"
] | null | null | null |
import os
import sys
import scripts
from version import __version__
| 13.6
| 31
| 0.852941
| 10
| 68
| 5.4
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147059
| 68
| 4
| 32
| 17
| 0.931034
| 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
| 0
| 0
|
0
| 4
|
a9a7f46c7572b94c3a18b2d17dc43d55e2adfce7
| 41,790
|
py
|
Python
|
packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py
|
depscloud/api
|
8a7dccb76186d0b76821977c50323f6dfcab046a
|
[
"MIT"
] | 3
|
2019-09-23T14:05:06.000Z
|
2020-04-22T18:39:30.000Z
|
packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py
|
depscloud/api
|
8a7dccb76186d0b76821977c50323f6dfcab046a
|
[
"MIT"
] | 57
|
2020-06-28T15:41:57.000Z
|
2022-03-26T22:44:12.000Z
|
packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py
|
depscloud/api
|
8a7dccb76186d0b76821977c50323f6dfcab046a
|
[
"MIT"
] | 2
|
2019-11-23T03:36:08.000Z
|
2020-04-27T09:30:16.000Z
|
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: depscloud_api/v1alpha/tracker/tracker.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from depscloud_api.v1alpha.deps import deps_pb2 as depscloud__api_dot_v1alpha_dot_deps_dot_deps__pb2
from depscloud_api.v1alpha.schema import schema_pb2 as depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='depscloud_api/v1alpha/tracker/tracker.proto',
package='cloud.deps.api.v1alpha.tracker',
syntax='proto3',
serialized_options=b'Z(github.com/depscloud/api/v1alpha/tracker',
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n+depscloud_api/v1alpha/tracker/tracker.proto\x12\x1e\x63loud.deps.api.v1alpha.tracker\x1a%depscloud_api/v1alpha/deps/deps.proto\x1a)depscloud_api/v1alpha/schema/schema.proto\"\x96\x01\n\rSourceRequest\x12\x35\n\x06source\x18\x01 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Source\x12N\n\x0fmanagementFiles\x18\x02 \x03(\x0b\x32\x35.cloud.deps.api.v1alpha.deps.DependencyManagementFile\"*\n\x0bListRequest\x12\x0c\n\x04page\x18\x01 \x01(\x05\x12\r\n\x05\x63ount\x18\x02 \x01(\x05\"!\n\rTrackResponse\x12\x10\n\x08tracking\x18\x01 \x01(\x08\"i\n\x12ListSourceResponse\x12\x0c\n\x04page\x18\x01 \x01(\x05\x12\r\n\x05\x63ount\x18\x02 \x01(\x05\x12\x36\n\x07sources\x18\x03 \x03(\x0b\x32%.cloud.deps.api.v1alpha.schema.Source\"i\n\x12ListModuleResponse\x12\x0c\n\x04page\x18\x01 \x01(\x05\x12\r\n\x05\x63ount\x18\x02 \x01(\x05\x12\x36\n\x07modules\x18\x03 \x03(\x0b\x32%.cloud.deps.api.v1alpha.schema.Module\"\x7f\n\rManagedSource\x12\x35\n\x06source\x18\x01 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Source\x12\x37\n\x07manages\x18\x02 \x01(\x0b\x32&.cloud.deps.api.v1alpha.schema.Manages\"\x7f\n\rManagedModule\x12\x37\n\x07manages\x18\x01 \x01(\x0b\x32&.cloud.deps.api.v1alpha.schema.Manages\x12\x35\n\x06module\x18\x02 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Module\"U\n\x13ListSourcesResponse\x12>\n\x07sources\x18\x01 \x03(\x0b\x32-.cloud.deps.api.v1alpha.tracker.ManagedSource\"U\n\x13ListManagedResponse\x12>\n\x07modules\x18\x01 \x03(\x0b\x32-.cloud.deps.api.v1alpha.tracker.ManagedModule\"a\n\x11\x44\x65pendencyRequest\x12\x10\n\x08language\x18\x01 \x01(\t\x12\x18\n\x0corganization\x18\x05 \x01(\tB\x02\x18\x01\x12\x12\n\x06module\x18\x06 \x01(\tB\x02\x18\x01\x12\x0c\n\x04name\x18\x07 \x01(\t\"|\n\nDependency\x12\x37\n\x07\x64\x65pends\x18\x01 \x01(\x0b\x32&.cloud.deps.api.v1alpha.schema.Depends\x12\x35\n\x06module\x18\x02 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Module\"X\n\x16ListDependentsResponse\x12>\n\ndependents\x18\x01 \x03(\x0b\x32*.cloud.deps.api.v1alpha.tracker.Dependency\"\\\n\x18ListDependenciesResponse\x12@\n\x0c\x64\x65pendencies\x18\x01 \x03(\x0b\x32*.cloud.deps.api.v1alpha.tracker.Dependency\"\xa9\x02\n\rSearchRequest\x12\x0e\n\x06\x63\x61ncel\x18\x01 \x01(\x08\x12G\n\x0c\x64\x65pendentsOf\x18\x05 \x01(\x0b\x32\x31.cloud.deps.api.v1alpha.tracker.DependencyRequest\x12I\n\x0e\x64\x65pendenciesOf\x18\x06 \x01(\x0b\x32\x31.cloud.deps.api.v1alpha.tracker.DependencyRequest\x12\x39\n\nmodulesFor\x18\x07 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Source\x12\x39\n\nsourcesFor\x18\x08 \x01(\x0b\x32%.cloud.deps.api.v1alpha.schema.Module\"\xd2\x02\n\x0eSearchResponse\x12>\n\x07request\x18\x01 \x01(\x0b\x32-.cloud.deps.api.v1alpha.tracker.SearchRequest\x12>\n\ndependents\x18\x05 \x03(\x0b\x32*.cloud.deps.api.v1alpha.tracker.Dependency\x12@\n\x0c\x64\x65pendencies\x18\x06 \x03(\x0b\x32*.cloud.deps.api.v1alpha.tracker.Dependency\x12>\n\x07modules\x18\x07 \x03(\x0b\x32-.cloud.deps.api.v1alpha.tracker.ManagedModule\x12>\n\x07sources\x18\x08 \x03(\x0b\x32-.cloud.deps.api.v1alpha.tracker.ManagedSource2\xdf\x01\n\rSourceService\x12g\n\x04List\x12+.cloud.deps.api.v1alpha.tracker.ListRequest\x1a\x32.cloud.deps.api.v1alpha.tracker.ListSourceResponse\x12\x65\n\x05Track\x12-.cloud.deps.api.v1alpha.tracker.SourceRequest\x1a-.cloud.deps.api.v1alpha.tracker.TrackResponse2\xce\x02\n\rModuleService\x12g\n\x04List\x12+.cloud.deps.api.v1alpha.tracker.ListRequest\x1a\x32.cloud.deps.api.v1alpha.tracker.ListModuleResponse\x12i\n\x0bListSources\x12%.cloud.deps.api.v1alpha.schema.Module\x1a\x33.cloud.deps.api.v1alpha.tracker.ListSourcesResponse\x12i\n\x0bListManaged\x12%.cloud.deps.api.v1alpha.schema.Source\x1a\x33.cloud.deps.api.v1alpha.tracker.ListManagedResponse2\x91\x02\n\x11\x44\x65pendencyService\x12{\n\x0eListDependents\x12\x31.cloud.deps.api.v1alpha.tracker.DependencyRequest\x1a\x36.cloud.deps.api.v1alpha.tracker.ListDependentsResponse\x12\x7f\n\x10ListDependencies\x12\x31.cloud.deps.api.v1alpha.tracker.DependencyRequest\x1a\x38.cloud.deps.api.v1alpha.tracker.ListDependenciesResponse2\xec\x02\n\rSearchService\x12k\n\x06Search\x12-.cloud.deps.api.v1alpha.tracker.SearchRequest\x1a..cloud.deps.api.v1alpha.tracker.SearchResponse(\x01\x30\x01\x12w\n\x12\x42readthFirstSearch\x12-.cloud.deps.api.v1alpha.tracker.SearchRequest\x1a..cloud.deps.api.v1alpha.tracker.SearchResponse(\x01\x30\x01\x12u\n\x10\x44\x65pthFirstSearch\x12-.cloud.deps.api.v1alpha.tracker.SearchRequest\x1a..cloud.deps.api.v1alpha.tracker.SearchResponse(\x01\x30\x01\x42*Z(github.com/depscloud/api/v1alpha/trackerb\x06proto3'
,
dependencies=[depscloud__api_dot_v1alpha_dot_deps_dot_deps__pb2.DESCRIPTOR,depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2.DESCRIPTOR,])
_SOURCEREQUEST = _descriptor.Descriptor(
name='SourceRequest',
full_name='cloud.deps.api.v1alpha.tracker.SourceRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='cloud.deps.api.v1alpha.tracker.SourceRequest.source', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='managementFiles', full_name='cloud.deps.api.v1alpha.tracker.SourceRequest.managementFiles', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=162,
serialized_end=312,
)
_LISTREQUEST = _descriptor.Descriptor(
name='ListRequest',
full_name='cloud.deps.api.v1alpha.tracker.ListRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='page', full_name='cloud.deps.api.v1alpha.tracker.ListRequest.page', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='count', full_name='cloud.deps.api.v1alpha.tracker.ListRequest.count', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=314,
serialized_end=356,
)
_TRACKRESPONSE = _descriptor.Descriptor(
name='TrackResponse',
full_name='cloud.deps.api.v1alpha.tracker.TrackResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='tracking', full_name='cloud.deps.api.v1alpha.tracker.TrackResponse.tracking', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=358,
serialized_end=391,
)
_LISTSOURCERESPONSE = _descriptor.Descriptor(
name='ListSourceResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListSourceResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='page', full_name='cloud.deps.api.v1alpha.tracker.ListSourceResponse.page', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='count', full_name='cloud.deps.api.v1alpha.tracker.ListSourceResponse.count', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='sources', full_name='cloud.deps.api.v1alpha.tracker.ListSourceResponse.sources', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=393,
serialized_end=498,
)
_LISTMODULERESPONSE = _descriptor.Descriptor(
name='ListModuleResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListModuleResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='page', full_name='cloud.deps.api.v1alpha.tracker.ListModuleResponse.page', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='count', full_name='cloud.deps.api.v1alpha.tracker.ListModuleResponse.count', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='modules', full_name='cloud.deps.api.v1alpha.tracker.ListModuleResponse.modules', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=500,
serialized_end=605,
)
_MANAGEDSOURCE = _descriptor.Descriptor(
name='ManagedSource',
full_name='cloud.deps.api.v1alpha.tracker.ManagedSource',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='cloud.deps.api.v1alpha.tracker.ManagedSource.source', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='manages', full_name='cloud.deps.api.v1alpha.tracker.ManagedSource.manages', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=607,
serialized_end=734,
)
_MANAGEDMODULE = _descriptor.Descriptor(
name='ManagedModule',
full_name='cloud.deps.api.v1alpha.tracker.ManagedModule',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='manages', full_name='cloud.deps.api.v1alpha.tracker.ManagedModule.manages', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='module', full_name='cloud.deps.api.v1alpha.tracker.ManagedModule.module', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=736,
serialized_end=863,
)
_LISTSOURCESRESPONSE = _descriptor.Descriptor(
name='ListSourcesResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListSourcesResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='sources', full_name='cloud.deps.api.v1alpha.tracker.ListSourcesResponse.sources', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=865,
serialized_end=950,
)
_LISTMANAGEDRESPONSE = _descriptor.Descriptor(
name='ListManagedResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListManagedResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='modules', full_name='cloud.deps.api.v1alpha.tracker.ListManagedResponse.modules', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=952,
serialized_end=1037,
)
_DEPENDENCYREQUEST = _descriptor.Descriptor(
name='DependencyRequest',
full_name='cloud.deps.api.v1alpha.tracker.DependencyRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='language', full_name='cloud.deps.api.v1alpha.tracker.DependencyRequest.language', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='organization', full_name='cloud.deps.api.v1alpha.tracker.DependencyRequest.organization', index=1,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\030\001', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='module', full_name='cloud.deps.api.v1alpha.tracker.DependencyRequest.module', index=2,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\030\001', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='name', full_name='cloud.deps.api.v1alpha.tracker.DependencyRequest.name', index=3,
number=7, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1039,
serialized_end=1136,
)
_DEPENDENCY = _descriptor.Descriptor(
name='Dependency',
full_name='cloud.deps.api.v1alpha.tracker.Dependency',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='depends', full_name='cloud.deps.api.v1alpha.tracker.Dependency.depends', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='module', full_name='cloud.deps.api.v1alpha.tracker.Dependency.module', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1138,
serialized_end=1262,
)
_LISTDEPENDENTSRESPONSE = _descriptor.Descriptor(
name='ListDependentsResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListDependentsResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='dependents', full_name='cloud.deps.api.v1alpha.tracker.ListDependentsResponse.dependents', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1264,
serialized_end=1352,
)
_LISTDEPENDENCIESRESPONSE = _descriptor.Descriptor(
name='ListDependenciesResponse',
full_name='cloud.deps.api.v1alpha.tracker.ListDependenciesResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='dependencies', full_name='cloud.deps.api.v1alpha.tracker.ListDependenciesResponse.dependencies', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1354,
serialized_end=1446,
)
_SEARCHREQUEST = _descriptor.Descriptor(
name='SearchRequest',
full_name='cloud.deps.api.v1alpha.tracker.SearchRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='cancel', full_name='cloud.deps.api.v1alpha.tracker.SearchRequest.cancel', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='dependentsOf', full_name='cloud.deps.api.v1alpha.tracker.SearchRequest.dependentsOf', index=1,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='dependenciesOf', full_name='cloud.deps.api.v1alpha.tracker.SearchRequest.dependenciesOf', index=2,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='modulesFor', full_name='cloud.deps.api.v1alpha.tracker.SearchRequest.modulesFor', index=3,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='sourcesFor', full_name='cloud.deps.api.v1alpha.tracker.SearchRequest.sourcesFor', index=4,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1449,
serialized_end=1746,
)
_SEARCHRESPONSE = _descriptor.Descriptor(
name='SearchResponse',
full_name='cloud.deps.api.v1alpha.tracker.SearchResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='request', full_name='cloud.deps.api.v1alpha.tracker.SearchResponse.request', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='dependents', full_name='cloud.deps.api.v1alpha.tracker.SearchResponse.dependents', index=1,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='dependencies', full_name='cloud.deps.api.v1alpha.tracker.SearchResponse.dependencies', index=2,
number=6, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='modules', full_name='cloud.deps.api.v1alpha.tracker.SearchResponse.modules', index=3,
number=7, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='sources', full_name='cloud.deps.api.v1alpha.tracker.SearchResponse.sources', index=4,
number=8, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1749,
serialized_end=2087,
)
_SOURCEREQUEST.fields_by_name['source'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._SOURCE
_SOURCEREQUEST.fields_by_name['managementFiles'].message_type = depscloud__api_dot_v1alpha_dot_deps_dot_deps__pb2._DEPENDENCYMANAGEMENTFILE
_LISTSOURCERESPONSE.fields_by_name['sources'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._SOURCE
_LISTMODULERESPONSE.fields_by_name['modules'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MODULE
_MANAGEDSOURCE.fields_by_name['source'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._SOURCE
_MANAGEDSOURCE.fields_by_name['manages'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MANAGES
_MANAGEDMODULE.fields_by_name['manages'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MANAGES
_MANAGEDMODULE.fields_by_name['module'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MODULE
_LISTSOURCESRESPONSE.fields_by_name['sources'].message_type = _MANAGEDSOURCE
_LISTMANAGEDRESPONSE.fields_by_name['modules'].message_type = _MANAGEDMODULE
_DEPENDENCY.fields_by_name['depends'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._DEPENDS
_DEPENDENCY.fields_by_name['module'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MODULE
_LISTDEPENDENTSRESPONSE.fields_by_name['dependents'].message_type = _DEPENDENCY
_LISTDEPENDENCIESRESPONSE.fields_by_name['dependencies'].message_type = _DEPENDENCY
_SEARCHREQUEST.fields_by_name['dependentsOf'].message_type = _DEPENDENCYREQUEST
_SEARCHREQUEST.fields_by_name['dependenciesOf'].message_type = _DEPENDENCYREQUEST
_SEARCHREQUEST.fields_by_name['modulesFor'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._SOURCE
_SEARCHREQUEST.fields_by_name['sourcesFor'].message_type = depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MODULE
_SEARCHRESPONSE.fields_by_name['request'].message_type = _SEARCHREQUEST
_SEARCHRESPONSE.fields_by_name['dependents'].message_type = _DEPENDENCY
_SEARCHRESPONSE.fields_by_name['dependencies'].message_type = _DEPENDENCY
_SEARCHRESPONSE.fields_by_name['modules'].message_type = _MANAGEDMODULE
_SEARCHRESPONSE.fields_by_name['sources'].message_type = _MANAGEDSOURCE
DESCRIPTOR.message_types_by_name['SourceRequest'] = _SOURCEREQUEST
DESCRIPTOR.message_types_by_name['ListRequest'] = _LISTREQUEST
DESCRIPTOR.message_types_by_name['TrackResponse'] = _TRACKRESPONSE
DESCRIPTOR.message_types_by_name['ListSourceResponse'] = _LISTSOURCERESPONSE
DESCRIPTOR.message_types_by_name['ListModuleResponse'] = _LISTMODULERESPONSE
DESCRIPTOR.message_types_by_name['ManagedSource'] = _MANAGEDSOURCE
DESCRIPTOR.message_types_by_name['ManagedModule'] = _MANAGEDMODULE
DESCRIPTOR.message_types_by_name['ListSourcesResponse'] = _LISTSOURCESRESPONSE
DESCRIPTOR.message_types_by_name['ListManagedResponse'] = _LISTMANAGEDRESPONSE
DESCRIPTOR.message_types_by_name['DependencyRequest'] = _DEPENDENCYREQUEST
DESCRIPTOR.message_types_by_name['Dependency'] = _DEPENDENCY
DESCRIPTOR.message_types_by_name['ListDependentsResponse'] = _LISTDEPENDENTSRESPONSE
DESCRIPTOR.message_types_by_name['ListDependenciesResponse'] = _LISTDEPENDENCIESRESPONSE
DESCRIPTOR.message_types_by_name['SearchRequest'] = _SEARCHREQUEST
DESCRIPTOR.message_types_by_name['SearchResponse'] = _SEARCHRESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SourceRequest = _reflection.GeneratedProtocolMessageType('SourceRequest', (_message.Message,), {
'DESCRIPTOR' : _SOURCEREQUEST,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.SourceRequest)
})
_sym_db.RegisterMessage(SourceRequest)
ListRequest = _reflection.GeneratedProtocolMessageType('ListRequest', (_message.Message,), {
'DESCRIPTOR' : _LISTREQUEST,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListRequest)
})
_sym_db.RegisterMessage(ListRequest)
TrackResponse = _reflection.GeneratedProtocolMessageType('TrackResponse', (_message.Message,), {
'DESCRIPTOR' : _TRACKRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.TrackResponse)
})
_sym_db.RegisterMessage(TrackResponse)
ListSourceResponse = _reflection.GeneratedProtocolMessageType('ListSourceResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTSOURCERESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListSourceResponse)
})
_sym_db.RegisterMessage(ListSourceResponse)
ListModuleResponse = _reflection.GeneratedProtocolMessageType('ListModuleResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTMODULERESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListModuleResponse)
})
_sym_db.RegisterMessage(ListModuleResponse)
ManagedSource = _reflection.GeneratedProtocolMessageType('ManagedSource', (_message.Message,), {
'DESCRIPTOR' : _MANAGEDSOURCE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ManagedSource)
})
_sym_db.RegisterMessage(ManagedSource)
ManagedModule = _reflection.GeneratedProtocolMessageType('ManagedModule', (_message.Message,), {
'DESCRIPTOR' : _MANAGEDMODULE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ManagedModule)
})
_sym_db.RegisterMessage(ManagedModule)
ListSourcesResponse = _reflection.GeneratedProtocolMessageType('ListSourcesResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTSOURCESRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListSourcesResponse)
})
_sym_db.RegisterMessage(ListSourcesResponse)
ListManagedResponse = _reflection.GeneratedProtocolMessageType('ListManagedResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTMANAGEDRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListManagedResponse)
})
_sym_db.RegisterMessage(ListManagedResponse)
DependencyRequest = _reflection.GeneratedProtocolMessageType('DependencyRequest', (_message.Message,), {
'DESCRIPTOR' : _DEPENDENCYREQUEST,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.DependencyRequest)
})
_sym_db.RegisterMessage(DependencyRequest)
Dependency = _reflection.GeneratedProtocolMessageType('Dependency', (_message.Message,), {
'DESCRIPTOR' : _DEPENDENCY,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.Dependency)
})
_sym_db.RegisterMessage(Dependency)
ListDependentsResponse = _reflection.GeneratedProtocolMessageType('ListDependentsResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTDEPENDENTSRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListDependentsResponse)
})
_sym_db.RegisterMessage(ListDependentsResponse)
ListDependenciesResponse = _reflection.GeneratedProtocolMessageType('ListDependenciesResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTDEPENDENCIESRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.ListDependenciesResponse)
})
_sym_db.RegisterMessage(ListDependenciesResponse)
SearchRequest = _reflection.GeneratedProtocolMessageType('SearchRequest', (_message.Message,), {
'DESCRIPTOR' : _SEARCHREQUEST,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.SearchRequest)
})
_sym_db.RegisterMessage(SearchRequest)
SearchResponse = _reflection.GeneratedProtocolMessageType('SearchResponse', (_message.Message,), {
'DESCRIPTOR' : _SEARCHRESPONSE,
'__module__' : 'depscloud_api.v1alpha.tracker.tracker_pb2'
# @@protoc_insertion_point(class_scope:cloud.deps.api.v1alpha.tracker.SearchResponse)
})
_sym_db.RegisterMessage(SearchResponse)
DESCRIPTOR._options = None
_DEPENDENCYREQUEST.fields_by_name['organization']._options = None
_DEPENDENCYREQUEST.fields_by_name['module']._options = None
_SOURCESERVICE = _descriptor.ServiceDescriptor(
name='SourceService',
full_name='cloud.deps.api.v1alpha.tracker.SourceService',
file=DESCRIPTOR,
index=0,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=2090,
serialized_end=2313,
methods=[
_descriptor.MethodDescriptor(
name='List',
full_name='cloud.deps.api.v1alpha.tracker.SourceService.List',
index=0,
containing_service=None,
input_type=_LISTREQUEST,
output_type=_LISTSOURCERESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='Track',
full_name='cloud.deps.api.v1alpha.tracker.SourceService.Track',
index=1,
containing_service=None,
input_type=_SOURCEREQUEST,
output_type=_TRACKRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_SOURCESERVICE)
DESCRIPTOR.services_by_name['SourceService'] = _SOURCESERVICE
_MODULESERVICE = _descriptor.ServiceDescriptor(
name='ModuleService',
full_name='cloud.deps.api.v1alpha.tracker.ModuleService',
file=DESCRIPTOR,
index=1,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=2316,
serialized_end=2650,
methods=[
_descriptor.MethodDescriptor(
name='List',
full_name='cloud.deps.api.v1alpha.tracker.ModuleService.List',
index=0,
containing_service=None,
input_type=_LISTREQUEST,
output_type=_LISTMODULERESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='ListSources',
full_name='cloud.deps.api.v1alpha.tracker.ModuleService.ListSources',
index=1,
containing_service=None,
input_type=depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._MODULE,
output_type=_LISTSOURCESRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='ListManaged',
full_name='cloud.deps.api.v1alpha.tracker.ModuleService.ListManaged',
index=2,
containing_service=None,
input_type=depscloud__api_dot_v1alpha_dot_schema_dot_schema__pb2._SOURCE,
output_type=_LISTMANAGEDRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_MODULESERVICE)
DESCRIPTOR.services_by_name['ModuleService'] = _MODULESERVICE
_DEPENDENCYSERVICE = _descriptor.ServiceDescriptor(
name='DependencyService',
full_name='cloud.deps.api.v1alpha.tracker.DependencyService',
file=DESCRIPTOR,
index=2,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=2653,
serialized_end=2926,
methods=[
_descriptor.MethodDescriptor(
name='ListDependents',
full_name='cloud.deps.api.v1alpha.tracker.DependencyService.ListDependents',
index=0,
containing_service=None,
input_type=_DEPENDENCYREQUEST,
output_type=_LISTDEPENDENTSRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='ListDependencies',
full_name='cloud.deps.api.v1alpha.tracker.DependencyService.ListDependencies',
index=1,
containing_service=None,
input_type=_DEPENDENCYREQUEST,
output_type=_LISTDEPENDENCIESRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_DEPENDENCYSERVICE)
DESCRIPTOR.services_by_name['DependencyService'] = _DEPENDENCYSERVICE
_SEARCHSERVICE = _descriptor.ServiceDescriptor(
name='SearchService',
full_name='cloud.deps.api.v1alpha.tracker.SearchService',
file=DESCRIPTOR,
index=3,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=2929,
serialized_end=3293,
methods=[
_descriptor.MethodDescriptor(
name='Search',
full_name='cloud.deps.api.v1alpha.tracker.SearchService.Search',
index=0,
containing_service=None,
input_type=_SEARCHREQUEST,
output_type=_SEARCHRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='BreadthFirstSearch',
full_name='cloud.deps.api.v1alpha.tracker.SearchService.BreadthFirstSearch',
index=1,
containing_service=None,
input_type=_SEARCHREQUEST,
output_type=_SEARCHRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='DepthFirstSearch',
full_name='cloud.deps.api.v1alpha.tracker.SearchService.DepthFirstSearch',
index=2,
containing_service=None,
input_type=_SEARCHREQUEST,
output_type=_SEARCHRESPONSE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_SEARCHSERVICE)
DESCRIPTOR.services_by_name['SearchService'] = _SEARCHSERVICE
# @@protoc_insertion_point(module_scope)
| 43.350622
| 4,569
| 0.7771
| 5,030
| 41,790
| 6.13002
| 0.060239
| 0.047999
| 0.071123
| 0.075793
| 0.7542
| 0.738016
| 0.707433
| 0.684796
| 0.605468
| 0.593468
| 0
| 0.034387
| 0.103709
| 41,790
| 963
| 4,570
| 43.395639
| 0.788819
| 0.036444
| 0
| 0.661714
| 1
| 0.001143
| 0.260673
| 0.217335
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.006857
| 0
| 0.006857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a9cb1634008d2be2a33a54a90485ca07b6b43f9d
| 292
|
py
|
Python
|
Software_Engineering/ObjectOrientedProgramming/IdeFiles/5_exercise_upload_to_pypi/setup.py
|
surily/Udacity-Data-Science
|
6682b16f3a6159d20f03a6c872b1435b049077ec
|
[
"CNRI-Python"
] | null | null | null |
Software_Engineering/ObjectOrientedProgramming/IdeFiles/5_exercise_upload_to_pypi/setup.py
|
surily/Udacity-Data-Science
|
6682b16f3a6159d20f03a6c872b1435b049077ec
|
[
"CNRI-Python"
] | null | null | null |
Software_Engineering/ObjectOrientedProgramming/IdeFiles/5_exercise_upload_to_pypi/setup.py
|
surily/Udacity-Data-Science
|
6682b16f3a6159d20f03a6c872b1435b049077ec
|
[
"CNRI-Python"
] | null | null | null |
from setuptools import setup
setup(name='gaussian_bionary_dist_prob',
version='0.1',
description='Gaussian and Binomial distributions',
packages=['gaussian_bionary_dist_prob'],
author = 'Stefanie Si',
author_email = 'surily823@gmail.com',
zip_safe=False)
| 29.2
| 56
| 0.69863
| 34
| 292
| 5.764706
| 0.794118
| 0.153061
| 0.193878
| 0.234694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021186
| 0.191781
| 292
| 9
| 57
| 32.444444
| 0.809322
| 0
| 0
| 0
| 0
| 0
| 0.410959
| 0.178082
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.125
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a9ebdc47f3729c0ae494fa100bb47d849868c024
| 71
|
py
|
Python
|
test/__init__.py
|
pieter-hendriks/STL-monitoring
|
114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df
|
[
"MIT"
] | null | null | null |
test/__init__.py
|
pieter-hendriks/STL-monitoring
|
114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df
|
[
"MIT"
] | null | null | null |
test/__init__.py
|
pieter-hendriks/STL-monitoring
|
114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df
|
[
"MIT"
] | null | null | null |
""" STL Tool tests module """
from . import fullSystemTests, unitTests
| 23.666667
| 40
| 0.732394
| 8
| 71
| 6.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15493
| 71
| 2
| 41
| 35.5
| 0.866667
| 0.295775
| 0
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| 0
| 0
| 0
| 0
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| 0
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| true
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| null | 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a9f32d609420c97334d1b3d44e58b5f875aaeafb
| 68
|
py
|
Python
|
gunicorn.conf.py
|
nadjascha/FemaleAIAppInnovationEcosystem
|
d4c02efc2c4679d1978f2f8b6f6bdfd4ff406db3
|
[
"CC-BY-4.0"
] | 13
|
2022-02-04T11:42:20.000Z
|
2022-03-25T08:24:43.000Z
|
gunicorn.conf.py
|
nadjascha/FemaleAIAppInnovationEcosystem
|
d4c02efc2c4679d1978f2f8b6f6bdfd4ff406db3
|
[
"CC-BY-4.0"
] | 33
|
2021-12-28T14:11:35.000Z
|
2022-03-25T10:22:07.000Z
|
gunicorn.conf.py
|
nadjascha/FemaleAIAppInnovationEcosystem
|
d4c02efc2c4679d1978f2f8b6f6bdfd4ff406db3
|
[
"CC-BY-4.0"
] | 140
|
2021-09-02T12:39:04.000Z
|
2022-03-27T18:21:31.000Z
|
wsgi_app = "app:app"
worker_class = "uvicorn.workers.UvicornWorker"
| 22.666667
| 46
| 0.779412
| 9
| 68
| 5.666667
| 0.777778
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 68
| 2
| 47
| 34
| 0.822581
| 0
| 0
| 0
| 0
| 0
| 0.529412
| 0.426471
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
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| 0
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| 1
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| null | 1
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| 0
| 1
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| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e7481acb148374117dbfc0e2a420632ba3aae4ed
| 62
|
py
|
Python
|
pyof/v0x04/controller2switch/__init__.py
|
josemauro/python-openflow
|
0537c626f3aeb4c53995b65e0783f09ad5e63101
|
[
"MIT"
] | 48
|
2016-06-09T14:36:22.000Z
|
2021-11-11T16:05:19.000Z
|
pyof/v0x04/controller2switch/__init__.py
|
josemauro/python-openflow
|
0537c626f3aeb4c53995b65e0783f09ad5e63101
|
[
"MIT"
] | 338
|
2016-05-06T18:42:36.000Z
|
2021-04-29T17:57:09.000Z
|
pyof/v0x04/controller2switch/__init__.py
|
josemauro/python-openflow
|
0537c626f3aeb4c53995b65e0783f09ad5e63101
|
[
"MIT"
] | 46
|
2016-05-24T15:32:56.000Z
|
2021-06-01T12:16:17.000Z
|
"""Controller to Switch and Switch to Controller Messages."""
| 31
| 61
| 0.758065
| 8
| 62
| 5.875
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 62
| 1
| 62
| 62
| 0.87037
| 0.887097
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e770bd7ff579607fdb9f57ae2baa93c8400d9372
| 293
|
py
|
Python
|
nlu/components/chunkers/default_chunker/default_chunker.py
|
UPbook-innovations/nlu
|
2ae02ce7b6ca163f47271e98b71de109d38adefe
|
[
"Apache-2.0"
] | 1
|
2021-05-01T01:23:18.000Z
|
2021-05-01T01:23:18.000Z
|
nlu/components/chunkers/default_chunker/default_chunker.py
|
sumanthratna/nlu
|
acde6879d776116051d4cbe909268ab8946989b5
|
[
"Apache-2.0"
] | 2
|
2021-09-28T05:55:05.000Z
|
2022-02-26T11:16:21.000Z
|
nlu/components/chunkers/default_chunker/default_chunker.py
|
sumanthratna/nlu
|
acde6879d776116051d4cbe909268ab8946989b5
|
[
"Apache-2.0"
] | 1
|
2021-09-13T10:06:20.000Z
|
2021-09-13T10:06:20.000Z
|
import nlu.pipe_components
from sparknlp.annotator import *
class DefaultChunker:
@staticmethod
def get_default_model():
return Chunker() \
.setInputCols(["document", "pos"]) \
.setOutputCol("chunk") \
.setRegexParsers(["<NN>+", "<PP>"])
| 22.538462
| 48
| 0.593857
| 25
| 293
| 6.84
| 0.96
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.259386
| 293
| 12
| 49
| 24.416667
| 0.788018
| 0
| 0
| 0
| 0
| 0
| 0.085911
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.222222
| 0.111111
| 0.555556
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
e7811a548c2c6a146350e8278359a7c2d251cc7a
| 115
|
py
|
Python
|
resultadoOperaciones/apps.py
|
jaimevz001/profiles-rest-api
|
88bb3cfc15c7d6787938812b1e6f0a4ec010173b
|
[
"MIT"
] | null | null | null |
resultadoOperaciones/apps.py
|
jaimevz001/profiles-rest-api
|
88bb3cfc15c7d6787938812b1e6f0a4ec010173b
|
[
"MIT"
] | null | null | null |
resultadoOperaciones/apps.py
|
jaimevz001/profiles-rest-api
|
88bb3cfc15c7d6787938812b1e6f0a4ec010173b
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class ResultadooperacionesConfig(AppConfig):
name = 'resultadoOperaciones'
| 19.166667
| 44
| 0.808696
| 10
| 115
| 9.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 115
| 5
| 45
| 23
| 0.93
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e7892fea9811ca64f1f900de4472430e6d8b4486
| 164
|
py
|
Python
|
pysmore/test_optimizer.py
|
RainBoltz/pySmore
|
abb805639ea04c1c34877e4423a799ceb2e13b52
|
[
"MIT"
] | null | null | null |
pysmore/test_optimizer.py
|
RainBoltz/pySmore
|
abb805639ea04c1c34877e4423a799ceb2e13b52
|
[
"MIT"
] | 4
|
2021-06-26T11:42:29.000Z
|
2021-06-29T04:25:30.000Z
|
pysmore/test_optimizer.py
|
RainBoltz/pySmore
|
abb805639ea04c1c34877e4423a799ceb2e13b52
|
[
"MIT"
] | null | null | null |
from libs.optimizer import get_dotproduct_loss
import numpy as np
a = np.array([0.1,0.2,0.3])
b = np.array([0,0.2,0])
L = get_dotproduct_loss(a, b, 1.0)
print(L)
| 18.222222
| 46
| 0.689024
| 37
| 164
| 2.945946
| 0.513514
| 0.238532
| 0.311927
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084507
| 0.134146
| 164
| 9
| 47
| 18.222222
| 0.683099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.166667
| 0
| 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
| 4
|
e7ccec7100b66766a04325a1823880bc81d9d844
| 185
|
py
|
Python
|
digani/attr_func/state.py
|
ZwEin27/dig-attribute-name-identification
|
669c2d4f66560e4085884a5d0c259390214ef69f
|
[
"Apache-2.0"
] | null | null | null |
digani/attr_func/state.py
|
ZwEin27/dig-attribute-name-identification
|
669c2d4f66560e4085884a5d0c259390214ef69f
|
[
"Apache-2.0"
] | null | null | null |
digani/attr_func/state.py
|
ZwEin27/dig-attribute-name-identification
|
669c2d4f66560e4085884a5d0c259390214ef69f
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# @Author: ZwEin
# @Date: 2016-07-08 13:48:24
# @Last Modified by: ZwEin
# @Last Modified time: 2016-07-08 13:48:34
def attr_func_state(attr_vals):
pass
| 23.125
| 42
| 0.643243
| 32
| 185
| 3.625
| 0.71875
| 0.103448
| 0.137931
| 0.172414
| 0.206897
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192053
| 0.183784
| 185
| 8
| 43
| 23.125
| 0.576159
| 0.718919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e7d534ac14d59afa17706da67c300ad22eec060a
| 91
|
py
|
Python
|
pyscript/apps/temp/old/load_optimizer.py
|
janiversen/ha_config
|
98d7d4eed3a136220133724a044b9358896efbb7
|
[
"Apache-2.0"
] | null | null | null |
pyscript/apps/temp/old/load_optimizer.py
|
janiversen/ha_config
|
98d7d4eed3a136220133724a044b9358896efbb7
|
[
"Apache-2.0"
] | null | null | null |
pyscript/apps/temp/old/load_optimizer.py
|
janiversen/ha_config
|
98d7d4eed3a136220133724a044b9358896efbb7
|
[
"Apache-2.0"
] | null | null | null |
@state_trigger("sensor.power_meter != '9999'")
def load_optimizer(value=None):
pass
| 13
| 46
| 0.703297
| 12
| 91
| 5.083333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051282
| 0.142857
| 91
| 6
| 47
| 15.166667
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0.318182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
e7e2634573cae71ca54a22103a862f4b99ae8ac4
| 89
|
py
|
Python
|
opensda_flasher/utilities.py
|
jed-frey/opensda_flasher
|
aef0bddb5aa56f4e3aeffe76cf1b6c9491125529
|
[
"BSD-3-Clause"
] | 8
|
2017-09-25T07:43:34.000Z
|
2019-12-13T14:03:26.000Z
|
opensda_flasher/utilities.py
|
jed-frey/opensda_flasher
|
aef0bddb5aa56f4e3aeffe76cf1b6c9491125529
|
[
"BSD-3-Clause"
] | 1
|
2017-09-25T20:15:05.000Z
|
2017-10-06T00:32:05.000Z
|
opensda_flasher/utilities.py
|
dapperfu/opensda_flasher
|
aef0bddb5aa56f4e3aeffe76cf1b6c9491125529
|
[
"BSD-3-Clause"
] | 2
|
2017-09-25T12:50:40.000Z
|
2017-09-27T21:23:19.000Z
|
"""Module Utilities."""
import os
path = os.path.abspath(os.path.dirname(__file__))
| 17.8
| 50
| 0.685393
| 12
| 89
| 4.75
| 0.666667
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134831
| 89
| 4
| 51
| 22.25
| 0.74026
| 0.191011
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
99cab42815f0b0dab7a21f2a4e9e565b8c952970
| 560
|
py
|
Python
|
rainbow/__init__.py
|
Elysiumskrieger/rainbow-console
|
9b62357b7456227520f37bd43a6cec42689e379f
|
[
"Apache-2.0"
] | null | null | null |
rainbow/__init__.py
|
Elysiumskrieger/rainbow-console
|
9b62357b7456227520f37bd43a6cec42689e379f
|
[
"Apache-2.0"
] | null | null | null |
rainbow/__init__.py
|
Elysiumskrieger/rainbow-console
|
9b62357b7456227520f37bd43a6cec42689e379f
|
[
"Apache-2.0"
] | null | null | null |
"""
This module is designed to color the information displayed in the console.
import rainbow
rainbow.print("#F07427example #F4CA16print")
rainbow.print("example print", color="#CC397B")
print(rainbow.paint("Hello, world!", color="#318CE7"))
Colored line example: "#318CE7Hello #FECF3DWorld#309831!#r default colored text"
Use #xxxxx to set color
Use #r to reset color to console default
Flag #r automatically appends to end of string
"""
from .rainbow_console import paint, rainbow_print
from .rainbow_console import rainbow_print as print
| 32.941176
| 81
| 0.758929
| 77
| 560
| 5.467532
| 0.545455
| 0.114014
| 0.095012
| 0.114014
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054507
| 0.148214
| 560
| 17
| 82
| 32.941176
| 0.828092
| 0.773214
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 4
|
820233aa6800aeb598fb12d5e9f721ebf89f2868
| 81
|
py
|
Python
|
pdns-admin-base-ngoduykhanh/run.py
|
xoxefdp/docker-pdns
|
23b89152aedfe12501a49911c31cbcc33651b87c
|
[
"MIT"
] | 153
|
2016-11-03T09:56:16.000Z
|
2022-03-18T16:10:33.000Z
|
pdns-admin-base-ngoduykhanh/run.py
|
xoxefdp/docker-pdns
|
23b89152aedfe12501a49911c31cbcc33651b87c
|
[
"MIT"
] | 53
|
2017-06-22T21:17:28.000Z
|
2022-03-28T09:29:08.000Z
|
pdns-admin-base-ngoduykhanh/run.py
|
xoxefdp/docker-pdns
|
23b89152aedfe12501a49911c31cbcc33651b87c
|
[
"MIT"
] | 76
|
2017-01-31T22:17:30.000Z
|
2022-03-18T06:52:04.000Z
|
#!/usr/bin/env python3
from powerdnsadmin import create_app
app = create_app()
| 13.5
| 36
| 0.765432
| 12
| 81
| 5
| 0.75
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014286
| 0.135802
| 81
| 5
| 37
| 16.2
| 0.842857
| 0.259259
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8229fc1fcd1d5b6d4145d158e559c8c973d44a9f
| 117
|
py
|
Python
|
team_9/cocos/utest/pyglet_mockup1/pyglet/resource/__init__.py
|
Donnyvdm/dojo19
|
3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400
|
[
"BSD-3-Clause"
] | 1
|
2019-09-15T18:59:49.000Z
|
2019-09-15T18:59:49.000Z
|
team_9/cocos/utest/pyglet_mockup1/pyglet/resource/__init__.py
|
Donnyvdm/dojo19
|
3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400
|
[
"BSD-3-Clause"
] | null | null | null |
team_9/cocos/utest/pyglet_mockup1/pyglet/resource/__init__.py
|
Donnyvdm/dojo19
|
3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import division, print_function, unicode_literals
path = []
def reindex(*args,**kwargs):
pass
| 14.625
| 65
| 0.735043
| 14
| 117
| 5.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162393
| 117
| 7
| 66
| 16.714286
| 0.816327
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.25
| 0
| 0.5
| 0.25
| 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
| 0
| 0
|
0
| 4
|
8233226df298c295da681cf34886ffe019630535
| 753
|
py
|
Python
|
motion_analysis/gui/widgets/__init__.py
|
gemlongman/motion_preprocessing_tool
|
0d46fc41ff951e7cc4788d1d9355b0346a9df306
|
[
"MIT"
] | null | null | null |
motion_analysis/gui/widgets/__init__.py
|
gemlongman/motion_preprocessing_tool
|
0d46fc41ff951e7cc4788d1d9355b0346a9df306
|
[
"MIT"
] | null | null | null |
motion_analysis/gui/widgets/__init__.py
|
gemlongman/motion_preprocessing_tool
|
0d46fc41ff951e7cc4788d1d9355b0346a9df306
|
[
"MIT"
] | null | null | null |
from .animation_editor_widget import AnimationEditorWidget
from .animation_player_widget import AnimationPlayerWidget
from .blend_animation_controller_widget import BlendAnimationControllerWidget
from .character_widget import CharacterWidget
from .figure_controller_widget import FigureControllerWidget
from .group_animation_controller_widget import GroupAnimationPlayerWidget
from .mg_state_machine_widget import MGStateMachineWidget
from .morphable_graph_controller_widget import MorphableGraphControllerWidget
from .motion_primitive_controller_widget import MotionPrimitiveControllerWidget
from .nav_agent_widget import NavAgentWidget
from .object_properties_widget import ObjectPropertiesWidget
from .animated_mesh_widget import AnimatedMeshWidget
| 53.785714
| 79
| 0.918991
| 76
| 753
| 8.736842
| 0.473684
| 0.216867
| 0.165663
| 0.093373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065073
| 753
| 13
| 80
| 57.923077
| 0.943182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
4144e079bc25114f81c5b9d3df198b460cec6a76
| 1,377
|
py
|
Python
|
services/scope_external_service.py
|
projekt-scope/scope-admin
|
f8fa536f8a620b8047a34d81c9c3004b4ed0b331
|
[
"MIT"
] | 2
|
2020-09-29T14:29:05.000Z
|
2021-01-28T12:57:15.000Z
|
services/scope_external_service.py
|
projekt-scope/scope-admin
|
f8fa536f8a620b8047a34d81c9c3004b4ed0b331
|
[
"MIT"
] | null | null | null |
services/scope_external_service.py
|
projekt-scope/scope-admin
|
f8fa536f8a620b8047a34d81c9c3004b4ed0b331
|
[
"MIT"
] | 1
|
2021-04-16T09:43:46.000Z
|
2021-04-16T09:43:46.000Z
|
# FIXME this class is not done yet
import logging
import platform
import subprocess
LOGGER = logging.getLogger("scope-admin")
class ScopeExternalService:
def __init__(self, tag, paramsDict):
self._tag = tag
self._name = paramsDict["name"]
self._description = paramsDict["description"]
self._adress = paramsDict["adress"]
self._port = paramsDict["port"]
@property
def tag(self):
return self._tag
@property
def name(self):
return self._name
@property
def description(self):
return self._description
@property
def adress(self):
return self._adress
@property
def port(self):
return self._port
@staticmethod
def getExtServiceFromDict(dictionary):
for tag, params in dictionary.items():
ScopeExternalService(tag, params)
def ping(self, host):
"""
Returns True if host (str) responds to a ping request.
Remember that a host may not respond to a ping (ICMP) request even if the host name is valid.
"""
# Option for the number of packets as a function of
param = "-n" if platform.system().lower() == "windows" else "-c"
# Building the command. Ex: "ping -c 1 google.com"
command = ["ping", param, "1", host]
return subprocess.call(command) == 0
| 25.036364
| 101
| 0.622367
| 163
| 1,377
| 5.171779
| 0.447853
| 0.065243
| 0.083037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00303
| 0.281046
| 1,377
| 55
| 102
| 25.036364
| 0.848485
| 0.204067
| 0
| 0.147059
| 0
| 0
| 0.048918
| 0
| 0
| 0
| 0
| 0.018182
| 0
| 1
| 0.235294
| false
| 0
| 0.088235
| 0.147059
| 0.529412
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
41525ac97019abeca7316f93967fbae3d019f470
| 357
|
py
|
Python
|
data/type_registry/__init__.py
|
wax911/anime-meta
|
5a707a75b277a9c0dc5b9d9447cea44a73d2f83c
|
[
"Apache-2.0"
] | 2
|
2021-04-08T19:55:02.000Z
|
2021-04-08T19:57:07.000Z
|
data/type_registry/__init__.py
|
wax911/anime-meta
|
5a707a75b277a9c0dc5b9d9447cea44a73d2f83c
|
[
"Apache-2.0"
] | null | null | null |
data/type_registry/__init__.py
|
wax911/anime-meta
|
5a707a75b277a9c0dc5b9d9447cea44a73d2f83c
|
[
"Apache-2.0"
] | null | null | null |
from .type_registries import CoreEntityCodec, CacheLogEntityCodec, SigningPolicyEntityCodec, \
IndexEntityCodec, AdBreakEntityCodec, EpisodeEntityCodec, SeasonEntityCodec, SeriesEntityCodec, \
ImageContainerEntityCodec, MoviePanelEntityCodec, SearchMetaEntityCodec, SeriesPanelEntityCodec, \
ImageEntityCodec, MovieEntityCodec, PanelEntityCodec
| 71.4
| 102
| 0.857143
| 19
| 357
| 16.052632
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092437
| 357
| 4
| 103
| 89.25
| 0.941358
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
416ac82f7055497de375a8cf70f2dcdc6187f726
| 215
|
py
|
Python
|
__main__.py
|
luluci/utilCParse
|
2f4c736b5823efff97149eeaa48c736cf6385e9a
|
[
"MIT"
] | null | null | null |
__main__.py
|
luluci/utilCParse
|
2f4c736b5823efff97149eeaa48c736cf6385e9a
|
[
"MIT"
] | null | null | null |
__main__.py
|
luluci/utilCParse
|
2f4c736b5823efff97149eeaa48c736cf6385e9a
|
[
"MIT"
] | null | null | null |
import pathlib
import utilCParse
if True:
# file
# path = pathlib.Path("./test/test_c_src/test1.c")
path = pathlib.Path("./test/test_c_src")
analyzer = utilCParse.analyzer.analyzer()
analyzer.analyze_dir(path)
| 21.5
| 50
| 0.744186
| 31
| 215
| 5
| 0.451613
| 0.141935
| 0.193548
| 0.245161
| 0.348387
| 0.348387
| 0.348387
| 0
| 0
| 0
| 0
| 0.005236
| 0.111628
| 215
| 9
| 51
| 23.888889
| 0.806283
| 0.246512
| 0
| 0
| 0
| 0
| 0.106918
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
417261de1fda825c0dff2e5114b84748a824aa8f
| 1,179
|
py
|
Python
|
day13/test_day13.py
|
hmcc/advent-of-code-2021
|
6f9a2fc713901ca03eecf90fb0c2fa183a2b323f
|
[
"MIT"
] | null | null | null |
day13/test_day13.py
|
hmcc/advent-of-code-2021
|
6f9a2fc713901ca03eecf90fb0c2fa183a2b323f
|
[
"MIT"
] | null | null | null |
day13/test_day13.py
|
hmcc/advent-of-code-2021
|
6f9a2fc713901ca03eecf90fb0c2fa183a2b323f
|
[
"MIT"
] | null | null | null |
import pytest
from day13 import day13
@pytest.mark.parametrize('line, point', [
('6,10',(6, 10)),
('0,14',(0, 14)),
])
def test_parse_plot(line, point):
assert day13.parse_plot(line) == point
@pytest.mark.parametrize('line, fold', [
('fold along y=7', ('y', 7)),
('fold along x=5', ('x', 5))
])
def test_parse_fold(line, fold):
assert day13.parse_fold(line) == fold
def test_to_grid():
plots = [
(1, 3),
(0, 5),
(3, 4),
(3, 0)
]
grid = [
[0, 0, 0, 1],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 0, 1],
[1, 0, 0, 0],
]
assert day13.to_grid(plots) == grid
def test_fold_y():
grid = [
[0, 0, 0, 1],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 0, 1]
]
assert day13.fold(grid, 'y', 2) == [
[0, 0, 0, 1],
[0, 1, 0, 0]
]
def test_fold_x():
grid = [
[0, 0, 0, 1, 0],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 0],
[0, 1, 0, 1, 0]
]
assert day13.fold(grid, 'x', 2) == [
[0, 1],
[1, 0],
[0, 0],
[0, 1],
]
| 17.863636
| 42
| 0.388465
| 182
| 1,179
| 2.445055
| 0.164835
| 0.211236
| 0.229213
| 0.197753
| 0.204494
| 0.2
| 0.177528
| 0.157303
| 0.152809
| 0.152809
| 0
| 0.165975
| 0.386768
| 1,179
| 66
| 43
| 17.863636
| 0.449516
| 0
| 0
| 0.309091
| 0
| 0
| 0.051695
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 1
| 0.090909
| false
| 0
| 0.036364
| 0
| 0.127273
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4193bbbe179ececf98d9b6a579f1c5fc14ed6728
| 107
|
py
|
Python
|
testdemo/pytest_project/run.py
|
gottaegbert/penter
|
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
|
[
"MIT"
] | 13
|
2020-01-04T07:37:38.000Z
|
2021-08-31T05:19:58.000Z
|
testdemo/pytest_project/run.py
|
gottaegbert/penter
|
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
|
[
"MIT"
] | 3
|
2020-06-05T22:42:53.000Z
|
2020-08-24T07:18:54.000Z
|
testdemo/pytest_project/run.py
|
gottaegbert/penter
|
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
|
[
"MIT"
] | 9
|
2020-10-19T04:53:06.000Z
|
2021-08-31T05:20:01.000Z
|
import pytest
if __name__ == '__main__':
pytest.main(["-s", "../pytest_project/"])
# 执行顺序先当前 在 子目录
| 21.4
| 45
| 0.616822
| 13
| 107
| 4.384615
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.186916
| 107
| 5
| 46
| 21.4
| 0.655172
| 0.121495
| 0
| 0
| 0
| 0
| 0.301075
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
4198aca2cc9532210c23f611bb17d55ef7abde24
| 2,056
|
py
|
Python
|
rqalpha/model/benchmark_portfolio.py
|
HaidongHe/rqalpha
|
bb824178425909e051c456f6062a6c5bdc816421
|
[
"Apache-2.0"
] | 1
|
2020-11-10T05:44:39.000Z
|
2020-11-10T05:44:39.000Z
|
rqalpha/model/benchmark_portfolio.py
|
HaidongHe/rqalpha
|
bb824178425909e051c456f6062a6c5bdc816421
|
[
"Apache-2.0"
] | null | null | null |
rqalpha/model/benchmark_portfolio.py
|
HaidongHe/rqalpha
|
bb824178425909e051c456f6062a6c5bdc816421
|
[
"Apache-2.0"
] | 1
|
2020-03-05T05:06:45.000Z
|
2020-03-05T05:06:45.000Z
|
# -*- coding: utf-8 -*-
# 版权所有 2019 深圳米筐科技有限公司（下称“米筐科技”）
#
# 除非遵守当前许可，否则不得使用本软件。
#
# * 非商业用途（非商业用途指个人出于非商业目的使用本软件，或者高校、研究所等非营利机构出于教育、科研等目的使用本软件）：
# 遵守 Apache License 2.0（下称“Apache 2.0 许可”），您可以在以下位置获得 Apache 2.0 许可的副本：http://www.apache.org/licenses/LICENSE-2.0。
# 除非法律有要求或以书面形式达成协议，否则本软件分发时需保持当前许可“原样”不变，且不得附加任何条件。
#
# * 商业用途（商业用途指个人出于任何商业目的使用本软件，或者法人或其他组织出于任何目的使用本软件）：
# 未经米筐科技授权，任何个人不得出于任何商业目的使用本软件（包括但不限于向第三方提供、销售、出租、出借、转让本软件、本软件的衍生产品、引用或借鉴了本软件功能或源代码的产品或服务），任何法人或其他组织不得出于任何目的使用本软件，否则米筐科技有权追究相应的知识产权侵权责任。
# 在此前提下，对本软件的使用同样需要遵守 Apache 2.0 许可，Apache 2.0 许可与本许可冲突之处，以本许可为准。
# 详细的授权流程，请联系 public@ricequant.com 获取。
from rqalpha.environment import Environment
from rqalpha.const import DAYS_CNT
from rqalpha.utils.repr import property_repr
class BenchmarkPortfolio(object):
__repr__ = property_repr
def __init__(self, benchmark_provider, units):
self._provider = benchmark_provider
self._units = units
@property
def units(self):
return self._units
@property
def daily_returns(self):
return self._provider.daily_returns
@property
def total_returns(self):
return self._provider.total_returns
@property
def annualized_returns(self):
# fixme: do not rely on env
if self.unit_net_value <= 0:
return -1
env = Environment.get_instance()
date_count = float(env.data_proxy.count_trading_dates(env.config.base.start_date, env.trading_dt.date()))
return self.unit_net_value ** (DAYS_CNT.TRADING_DAYS_A_YEAR / date_count) - 1
@property
def unit_net_value(self):
return 1 + self.total_returns
@property
def static_unit_net_value(self):
return self.unit_net_value / (1 + self.daily_returns)
@property
def total_value(self):
return self.units * self.unit_net_value
# Only for compatible
@property
def cash(self):
return 0
market_value = total_value
portfolio_value = total_value
starting_cash = units
| 29.371429
| 144
| 0.697471
| 252
| 2,056
| 5.468254
| 0.452381
| 0.063861
| 0.05225
| 0.046444
| 0.142235
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01418
| 0.211089
| 2,056
| 69
| 145
| 29.797101
| 0.835388
| 0.329767
| 0
| 0.205128
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0
| 1
| 0.230769
| false
| 0
| 0.076923
| 0.179487
| 0.666667
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
41c671a28baa4a3f74bfc396e33c985bddd2a406
| 1,977
|
py
|
Python
|
tests/test_utils_sizing.py
|
lcsgrlch/oap
|
b1e2e15118d5b73edf5d1848ccbc207921ecbf91
|
[
"MIT"
] | null | null | null |
tests/test_utils_sizing.py
|
lcsgrlch/oap
|
b1e2e15118d5b73edf5d1848ccbc207921ecbf91
|
[
"MIT"
] | null | null | null |
tests/test_utils_sizing.py
|
lcsgrlch/oap
|
b1e2e15118d5b73edf5d1848ccbc207921ecbf91
|
[
"MIT"
] | null | null | null |
"""
Testing all methods from oap.utils.sizing
"""
import unittest
import oap
from tests.data import array01_original as array
class TestUtilsSizing(unittest.TestCase):
def test_xy_diameter(self):
x, y = oap.xy_diameter(array)
self.assertEqual(x, 43)
self.assertEqual(y, 45)
def test_x_diameter(self):
self.assertEqual(oap.x_diameter(array), 43)
def test_y_diameter(self):
self.assertEqual(oap.y_diameter(array), 45)
def test_min_diameter(self):
self.assertEqual(round(oap.min_diameter(array), 10), 49.6358592054)
def test_max_diameter(self):
self.assertEqual(round(oap.max_diameter(array), 10), 62.2414652784)
def test_area_ratio(self):
pass
def test_sphere_volume(self):
self.assertEqual(round(oap.sphere_volume(diameter=9.2), 6), 407.720083)
self.assertEqual(round(oap.sphere_volume(diameter=15.3), 5), 1875.30933)
self.assertEqual(round(oap.sphere_volume(diameter=42.0), 4), 38792.3861)
def test_sphere_surface(self):
self.assertEqual(round(oap.sphere_surface(diameter=9.2), 6), 265.904402)
self.assertEqual(round(oap.sphere_surface(diameter=15.3), 6), 735.415424)
self.assertEqual(round(oap.sphere_surface(diameter=42.0), 5), 5541.76944)
def test_hexprism_volume(self):
self.assertEqual(round(oap.hexprism_volume(height=3.5, diameter=2.4), 12), 13.094304105221)
self.assertEqual(round(oap.hexprism_volume(height=9.8, diameter=8.2), 11), 428.00187890592)
self.assertEqual(round(oap.hexprism_volume(height=16.7, diameter=14.6), 10), 2312.1397377604)
def test_hexprism_surface(self):
self.assertEqual(round(oap.hexprism_surface(height=3.5, diameter=2.4), 12), 32.682459488698)
self.assertEqual(round(oap.hexprism_surface(height=9.8, diameter=8.2), 11), 328.4273222257)
self.assertEqual(round(oap.hexprism_surface(height=16.7, diameter=14.6), 9), 1008.362962606)
| 38.019231
| 101
| 0.706626
| 284
| 1,977
| 4.785211
| 0.292254
| 0.198676
| 0.206034
| 0.236939
| 0.57248
| 0.52833
| 0.425313
| 0
| 0
| 0
| 0
| 0.141311
| 0.158827
| 1,977
| 51
| 102
| 38.764706
| 0.675887
| 0.020738
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.529412
| 1
| 0.294118
| false
| 0.029412
| 0.088235
| 0
| 0.411765
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
68d060eba2ef13c447cb2bafe48baa5ae86d4e99
| 53
|
py
|
Python
|
IEX_29id/mda/__init__.py
|
kellyjelly0904/macros_29id
|
573946d13eee7f85da049ac666b5dd2d18d19bb1
|
[
"MIT"
] | null | null | null |
IEX_29id/mda/__init__.py
|
kellyjelly0904/macros_29id
|
573946d13eee7f85da049ac666b5dd2d18d19bb1
|
[
"MIT"
] | 1
|
2021-11-10T02:00:41.000Z
|
2021-11-11T03:02:23.000Z
|
IEX_29id/mda/__init__.py
|
kellyjelly0904/macros_29id
|
573946d13eee7f85da049ac666b5dd2d18d19bb1
|
[
"MIT"
] | 2
|
2021-09-28T21:19:47.000Z
|
2021-10-12T20:51:43.000Z
|
# This file is here to make this folder a package
| 10.6
| 49
| 0.716981
| 10
| 53
| 3.8
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264151
| 53
| 4
| 50
| 13.25
| 0.974359
| 0.886792
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
68e71d66b70b0dd3ade14e9039ddc396142859fd
| 274
|
py
|
Python
|
foo.py/bar.py
|
conradstorz/Sunset-Village-River-Bot
|
a8aca14776510a6c1a912f1be4e6cb9c4467d9be
|
[
"MIT"
] | null | null | null |
foo.py/bar.py
|
conradstorz/Sunset-Village-River-Bot
|
a8aca14776510a6c1a912f1be4e6cb9c4467d9be
|
[
"MIT"
] | 3
|
2020-12-02T01:23:19.000Z
|
2021-04-06T18:03:50.000Z
|
foo.py/bar.py
|
conradstorz/Sunset-Village-River-Bot
|
a8aca14776510a6c1a912f1be4e6cb9c4467d9be
|
[
"MIT"
] | null | null | null |
print(f'This is the python code file bar.py and my name currently is:{__name__}')
if __name__ == 'bar':
print(f'I was imported as a module.')
print(f'bar.py __file__ variable:{__file__}')
print('If the slashes in the file path lean to the right then I am __main__')
| 45.666667
| 81
| 0.715328
| 50
| 274
| 3.52
| 0.62
| 0.102273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175182
| 274
| 5
| 82
| 54.8
| 0.778761
| 0
| 0
| 0
| 0
| 0
| 0.744526
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 0.8
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
ec026af3792c62bf8f0f1e9bc3599f2aee068302
| 27
|
py
|
Python
|
main/networkmanager/update.py
|
RoastVeg/cports
|
803c7f07af341eb32f791b6ec1f237edb2764bd5
|
[
"BSD-2-Clause"
] | null | null | null |
main/networkmanager/update.py
|
RoastVeg/cports
|
803c7f07af341eb32f791b6ec1f237edb2764bd5
|
[
"BSD-2-Clause"
] | null | null | null |
main/networkmanager/update.py
|
RoastVeg/cports
|
803c7f07af341eb32f791b6ec1f237edb2764bd5
|
[
"BSD-2-Clause"
] | null | null | null |
pkgname = "NetworkManager"
| 13.5
| 26
| 0.777778
| 2
| 27
| 10.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 27
| 1
| 27
| 27
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.518519
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6b677676a3f8ff81489d4eae39abb4922d662439
| 166
|
py
|
Python
|
ex006.py
|
danieldf0l/exercicios-curso-python3
|
8f8a0e2467efee855da47ea47a4c2f4fda152c41
|
[
"MIT"
] | null | null | null |
ex006.py
|
danieldf0l/exercicios-curso-python3
|
8f8a0e2467efee855da47ea47a4c2f4fda152c41
|
[
"MIT"
] | null | null | null |
ex006.py
|
danieldf0l/exercicios-curso-python3
|
8f8a0e2467efee855da47ea47a4c2f4fda152c41
|
[
"MIT"
] | null | null | null |
n = float(input('Insira um número: '))
print(f"""O dobro de {n:.0f} é: {n*2:.0f} \nO triplo de {n:.0f} é {n*3:.0f}
a raiz quadrada de {n:.0f} é {pow(n,(1/2)):.2}""")
| 41.5
| 75
| 0.548193
| 38
| 166
| 2.394737
| 0.578947
| 0.098901
| 0.164835
| 0.197802
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0.070922
| 0.150602
| 166
| 3
| 76
| 55.333333
| 0.574468
| 0
| 0
| 0
| 0
| 0.666667
| 0.783133
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6b6b6d9e58e2dab26154e07eafb8e4897db965e4
| 3,172
|
py
|
Python
|
ov2640_config.py
|
FunPythonEC/OV2640_uPy
|
2c2e4bf006e3cdcc4eed4ff105404205463a8c3c
|
[
"MIT"
] | 6
|
2019-05-13T13:48:18.000Z
|
2021-12-28T19:08:34.000Z
|
ov2640_config.py
|
FunPythonEC/OV2640_uPy
|
2c2e4bf006e3cdcc4eed4ff105404205463a8c3c
|
[
"MIT"
] | 1
|
2019-07-13T08:51:08.000Z
|
2020-05-26T01:54:36.000Z
|
ov2640_config.py
|
FunPythonEC/OV2640_uPy
|
2c2e4bf006e3cdcc4eed4ff105404205463a8c3c
|
[
"MIT"
] | 4
|
2019-05-04T07:51:47.000Z
|
2021-01-21T21:46:45.000Z
|
#light mode
SUNNY=[
[0xff, b'\x00'],
[0xc7, b'\x40'],
[0xcc, b'\x5e'],
[0xcd, b'\x41'],
[0xce, b'\x54']
]
CLOUDY=[
[0xff, b'\x00'],
[0xc7, b'\x40'],
[0xcc, b'\x65'],
[0xcd, b'\x41'],
[0xce, b'\x4f']
]
OFFICE=[
[0xff, b'\x00'],
[0xc7, b'\x40'],
[0xcc, b'\x52'],
[0xcd, b'\x41'],
[0xce, b'\x66']
]
HOME=[
[0xff, b'\x00'],
[0xc7, b'\x40'],
[0xcc, b'\x42'],
[0xcd, b'\x3f'],
[0xce, b'\x71']
]
#color saturation
SATURATION2=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x02'],
[0x7c, b'\x03'],
[0x7d, b'\x68'],
[0x7d, b'\x68']
]
SATURATION1=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x02'],
[0x7c, b'\x03'],
[0x7d, b'\x58'],
[0x7d, b'\x58']
]
SATURATION0=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x02'],
[0x7c, b'\x03'],
[0x7d, b'\x48'],
[0x7d, b'\x48']
]
SATURATIONMN1=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x02'],
[0x7c, b'\x03'],
[0x7d, b'\x38'],
[0x7d, b'\x38']
]
SATURATIONMN2=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x02'],
[0x7c, b'\x03'],
[0x7d, b'\x38'],
[0x7d, b'\x38']
]
#brightness
BRIGHTNESS2=
[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x09'],
[0x7d, b'\x40'],
[0x7d, b'\x00']
]
BRIGHTNESS1=
[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x09'],
[0x7d, b'\x30'],
[0x7d, b'\x00']
]
BRIGHTNESS0=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x09'],
[0x7d, b'\x20'],
[0x7d, b'\x00']
]
BRIGHTNESSMN1=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x09'],
[0x7d, b'\x10'],
[0x7d, b'\x00']
]
BRIGHTNESSMN2=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x09'],
[0x7d, b'\x00'],
[0x7d, b'\x00']
]
#contrast
CONTRAST2=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x07'],
[0x7d, b'\x20'],
[0x7d, b'\x28'],
[0x7d, b'\x0c'],
[0x7d, b'\x06']
]
CONTRAST1=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x07'],
[0x7d, b'\x20'],
[0x7d, b'\x24'],
[0x7d, b'\x16'],
[0x7d, b'\x06']
]
CONTRAST0=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x07'],
[0x7d, b'\x20'],
[0x7d, b'\x20'],
[0x7d, b'\x20'],
[0x7d, b'\x06']
]
CONTRASTMN1=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x07'],
[0x7d, b'\x20'],
[0x7d, b'\x1c'],
[0x7d, b'\x2a'],
[0x7d, b'\x06']
]
CONTRASTMN2=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x04'],
[0x7c, b'\x07'],
[0x7d, b'\x20'],
[0x7d, b'\x18'],
[0x7d, b'\x34'],
[0x7d, b'\x06']
]
#special effects
ANTIQUE=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x18'],
[0x7c, b'\x05'],
[0x7d, b'\x40'],
[0x7d, b'\xa6']
]
BLUISH=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x18'],
[0x7c, b'\x05'],
[0x7d, b'\xa0'],
[0x7d, b'\x40']
]
GREENISH=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x18'],
[0x7c, b'\x05'],
[0x7d, b'\x40'],
[0x7d, b'\x40']
]
BW=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x18'],
[0x7c, b'\x05'],
[0x7d, b'\x80'],
[0x7d, b'\x80']
]
NORMAL=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x00'],
[0x7c, b'\x05'],
[0x7d, b'\x80']
]
NEGATIVE=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x40'],
[0x7c, b'\x05'],
[0x7d, b'\x80'],
[0x7d, b'\x80']
]
REDDISH=[
[0xff, b'\x00'],
[0x7c, b'\x00'],
[0x7d, b'\x18'],
[0x7c, b'\x05'],
[0x7d, b'\x40'],
[0x7d, b'\xc0']
]
| 12.738956
| 17
| 0.496847
| 517
| 3,172
| 3.048356
| 0.154739
| 0.237944
| 0.13198
| 0.131345
| 0.690355
| 0.646574
| 0.636421
| 0.636421
| 0.54632
| 0.524112
| 0
| 0.221739
| 0.129887
| 3,172
| 248
| 18
| 12.790323
| 0.349275
| 0.0186
| 0
| 0.623256
| 0
| 0
| 0.207274
| 0
| 0
| 0
| 0.207274
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 1
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6b9232b11bc254bd658c50ddddc70401b243a4aa
| 80
|
py
|
Python
|
locations.py
|
dragonfly-ai/MineCraft-pi-py-pie
|
333c171170852332f0bfc4bddc9650e2b5e9dcb8
|
[
"Apache-2.0"
] | null | null | null |
locations.py
|
dragonfly-ai/MineCraft-pi-py-pie
|
333c171170852332f0bfc4bddc9650e2b5e9dcb8
|
[
"Apache-2.0"
] | null | null | null |
locations.py
|
dragonfly-ai/MineCraft-pi-py-pie
|
333c171170852332f0bfc4bddc9650e2b5e9dcb8
|
[
"Apache-2.0"
] | null | null | null |
server = "uri.pi"
port = 4711
# well World
home = Vec3(-66.9487,7.0,-39.5313)
| 11.428571
| 34
| 0.625
| 15
| 80
| 3.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.287879
| 0.175
| 80
| 6
| 35
| 13.333333
| 0.469697
| 0.125
| 0
| 0
| 0
| 0
| 0.089552
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d40ded469dcf2a288e4a8eec75e092707939419c
| 78
|
py
|
Python
|
gpt2/test.py
|
kimjayney/flask-app-blueprint
|
0541be42c408e6e517b2e51521a98a7bf73bd145
|
[
"MIT"
] | 1
|
2021-05-15T12:11:14.000Z
|
2021-05-15T12:11:14.000Z
|
gpt2/test.py
|
kimjayney/flask-app-blueprint
|
0541be42c408e6e517b2e51521a98a7bf73bd145
|
[
"MIT"
] | null | null | null |
gpt2/test.py
|
kimjayney/flask-app-blueprint
|
0541be42c408e6e517b2e51521a98a7bf73bd145
|
[
"MIT"
] | null | null | null |
import time
while True:
print("Test program")
time.sleep(10)
pass
| 15.6
| 25
| 0.641026
| 11
| 78
| 4.545455
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034483
| 0.25641
| 78
| 5
| 26
| 15.6
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0.151899
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.2
| 0
| 0.2
| 0.2
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d41adddec32389df490b08b3e064b902485f5140
| 81
|
py
|
Python
|
__init__.py
|
Alex2Yang97/recommender
|
03802928d36187fb2343ccfabdda3e4cd9f5052c
|
[
"MIT"
] | null | null | null |
__init__.py
|
Alex2Yang97/recommender
|
03802928d36187fb2343ccfabdda3e4cd9f5052c
|
[
"MIT"
] | null | null | null |
__init__.py
|
Alex2Yang97/recommender
|
03802928d36187fb2343ccfabdda3e4cd9f5052c
|
[
"MIT"
] | null | null | null |
# -*- coding:utf8 -*-
"""
@Author: Zhirui(Alex) Yang
@Date: 2021/4/25 下午11:07
"""
| 16.2
| 26
| 0.580247
| 12
| 81
| 3.916667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171429
| 0.135802
| 81
| 5
| 27
| 16.2
| 0.5
| 0.888889
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
d4233942f4bd4c720e840913a88f6f374b525e6a
| 112
|
py
|
Python
|
auxiliary/templatetags/hashtag.py
|
navotsil/Open-Knesset
|
d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04
|
[
"BSD-3-Clause"
] | 69
|
2015-02-03T12:02:56.000Z
|
2022-02-16T13:08:01.000Z
|
auxiliary/templatetags/hashtag.py
|
navotsil/Open-Knesset
|
d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04
|
[
"BSD-3-Clause"
] | 446
|
2015-01-01T11:10:33.000Z
|
2021-11-01T08:15:39.000Z
|
auxiliary/templatetags/hashtag.py
|
navotsil/Open-Knesset
|
d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04
|
[
"BSD-3-Clause"
] | 67
|
2015-01-01T09:13:58.000Z
|
2021-11-01T07:51:08.000Z
|
from django import template
register = template.Library()
@register.filter
def hash(h, key):
return h[key]
| 16
| 29
| 0.732143
| 16
| 112
| 5.125
| 0.75
| 0.097561
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160714
| 112
| 6
| 30
| 18.666667
| 0.87234
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
d42991c0d12b55b22c402b0c3a599dfe5b5b8cdb
| 1,637
|
py
|
Python
|
tests/fixtures/defxmlschema/chapter16/example1607.py
|
nimish/xsdata
|
7afe2781b66982428cc1731f53c065086acd35c1
|
[
"MIT"
] | null | null | null |
tests/fixtures/defxmlschema/chapter16/example1607.py
|
nimish/xsdata
|
7afe2781b66982428cc1731f53c065086acd35c1
|
[
"MIT"
] | null | null | null |
tests/fixtures/defxmlschema/chapter16/example1607.py
|
nimish/xsdata
|
7afe2781b66982428cc1731f53c065086acd35c1
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass, field
from typing import Optional
from tests.fixtures.defxmlschema.chapter22.example2207 import (
ProductType,
)
@dataclass
class HatType:
"""
:ivar number:
:ivar name:
:ivar size:
"""
number: Optional[int] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
name: Optional[str] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
size: Optional[int] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
@dataclass
class ShirtType:
"""
:ivar number:
:ivar name:
:ivar size:
:ivar color:
"""
number: Optional[int] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
name: Optional[str] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
size: Optional[int] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
color: Optional[str] = field(
default=None,
metadata=dict(
type="Element",
namespace="",
required=True
)
)
@dataclass
class UmbrellaType(ProductType):
pass
| 19.034884
| 63
| 0.48931
| 133
| 1,637
| 6.022556
| 0.255639
| 0.104869
| 0.139825
| 0.209738
| 0.755306
| 0.755306
| 0.690387
| 0.690387
| 0.690387
| 0.690387
| 0
| 0.006104
| 0.399511
| 1,637
| 85
| 64
| 19.258824
| 0.808749
| 0.053757
| 0
| 0.647059
| 0
| 0
| 0.03271
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.014706
| 0.044118
| 0
| 0.191176
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d45a0cfea1607de8bf86aa4544c8ebb14855a180
| 213
|
py
|
Python
|
tests/pie.py
|
Sup3rGeo/allure-docx
|
54ad0c3ee57596658f97f49e45914ff4d18df140
|
[
"MIT"
] | 25
|
2018-06-14T08:18:39.000Z
|
2021-08-04T07:42:24.000Z
|
tests/pie.py
|
Sup3rGeo/allure-docx
|
54ad0c3ee57596658f97f49e45914ff4d18df140
|
[
"MIT"
] | 33
|
2018-05-18T11:33:21.000Z
|
2021-12-03T12:09:53.000Z
|
tests/pie.py
|
Sup3rGeo/allure-docx
|
54ad0c3ee57596658f97f49e45914ff4d18df140
|
[
"MIT"
] | 9
|
2019-02-26T15:55:28.000Z
|
2021-05-18T19:06:03.000Z
|
from allure_docx.piechart import create_piechart
data = {
"broken": 1,
"failed": 2,
"skipped": 3,
"passed": 4,
}
create_piechart(data, "C:\\Users\\victo\\Desktop\\piechart.png")
| 17.75
| 64
| 0.586854
| 25
| 213
| 4.88
| 0.8
| 0.229508
| 0.295082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.248826
| 213
| 12
| 64
| 17.75
| 0.7375
| 0
| 0
| 0
| 0
| 0
| 0.299065
| 0.182243
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.125
| 0.125
| 0
| 0.125
| 0
| 1
| 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
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d46f8fddd21b1839176a48181a312306a1f12441
| 372
|
py
|
Python
|
instagram_api/response/model/direct_expiring_summary.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | 13
|
2019-08-07T21:24:34.000Z
|
2020-12-12T12:23:50.000Z
|
instagram_api/response/model/direct_expiring_summary.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
instagram_api/response/model/direct_expiring_summary.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
from ..mapper import PropertyMapper, ApiInterfaceBase
from ..mapper.types import Timestamp, AnyType
__all__ = ['DirectExpiringSummary', 'DirectExpiringSummaryInterface']
class DirectExpiringSummaryInterface(ApiInterfaceBase):
type: str
timestamp: Timestamp
count: int
class DirectExpiringSummary(PropertyMapper, DirectExpiringSummaryInterface):
pass
| 23.25
| 76
| 0.803763
| 28
| 372
| 10.535714
| 0.607143
| 0.067797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 372
| 15
| 77
| 24.8
| 0.910494
| 0
| 0
| 0
| 0
| 0
| 0.137097
| 0.137097
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0.222222
| 0
| 0.777778
| 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
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
d4863d12f47858c604c5d9a2bca60d6a8dccaf31
| 84
|
py
|
Python
|
tests/acceptance/test_project/ignored.py
|
wo0dyn/raincoat
|
56fb9624c92bc11690975b12efc192402ca334a4
|
[
"MIT"
] | 18
|
2016-10-13T10:16:49.000Z
|
2017-10-20T07:54:11.000Z
|
tests/acceptance/test_project/ignored.py
|
wo0dyn/raincoat
|
56fb9624c92bc11690975b12efc192402ca334a4
|
[
"MIT"
] | 18
|
2016-10-13T11:37:47.000Z
|
2017-10-20T20:59:34.000Z
|
tests/acceptance/test_project/ignored.py
|
wo0dyn/raincoat
|
56fb9624c92bc11690975b12efc192402ca334a4
|
[
"MIT"
] | 2
|
2016-11-21T16:54:01.000Z
|
2017-04-11T10:29:17.000Z
|
# Raincoat: pypi package: raincoat==0.1.4 path: raincoat/_acceptance_test.py # noqa
| 42
| 83
| 0.761905
| 13
| 84
| 4.769231
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.107143
| 84
| 1
| 84
| 84
| 0.786667
| 0.952381
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
2e2196b673a0428849af0e87269efeb2233ca62b
| 49
|
py
|
Python
|
scripts/version.py
|
kevinrue/cgat-flow
|
02b5a1867253c2f6fd6b4f3763e0299115378913
|
[
"MIT"
] | null | null | null |
scripts/version.py
|
kevinrue/cgat-flow
|
02b5a1867253c2f6fd6b4f3763e0299115378913
|
[
"MIT"
] | null | null | null |
scripts/version.py
|
kevinrue/cgat-flow
|
02b5a1867253c2f6fd6b4f3763e0299115378913
|
[
"MIT"
] | null | null | null |
"""Version
==========
"""
__version__ = "0.4.0"
| 8.166667
| 21
| 0.428571
| 5
| 49
| 3.4
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0.142857
| 49
| 5
| 22
| 9.8
| 0.333333
| 0.367347
| 0
| 0
| 0
| 0
| 0.208333
| 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
| 0
| 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
| 4
|
2e3b62faaad0159785c7a9346ba744cad0c4ac74
| 96
|
py
|
Python
|
tests/test_general.py
|
haku-kiro/flaskCRUD
|
93d6bcd1029bc001b1c9e045cede7bcd1c59ce28
|
[
"MIT"
] | null | null | null |
tests/test_general.py
|
haku-kiro/flaskCRUD
|
93d6bcd1029bc001b1c9e045cede7bcd1c59ce28
|
[
"MIT"
] | null | null | null |
tests/test_general.py
|
haku-kiro/flaskCRUD
|
93d6bcd1029bc001b1c9e045cede7bcd1c59ce28
|
[
"MIT"
] | null | null | null |
"""
General unit tests
"""
class TestClass:
def test_base(self):
assert 42 == 42
| 9.6
| 24
| 0.583333
| 12
| 96
| 4.583333
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0.291667
| 96
| 9
| 25
| 10.666667
| 0.75
| 0.1875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
2e4c4571dea9eb5d3a059c2ca3583554a8d06562
| 144
|
py
|
Python
|
main/forms.py
|
anupam-tiwari/Def-Hacks-2020
|
d350299af2f0d18ac7b5ec1e29a5bb9b3479b5af
|
[
"Unlicense",
"MIT"
] | null | null | null |
main/forms.py
|
anupam-tiwari/Def-Hacks-2020
|
d350299af2f0d18ac7b5ec1e29a5bb9b3479b5af
|
[
"Unlicense",
"MIT"
] | 11
|
2020-09-26T01:14:58.000Z
|
2022-02-10T01:48:07.000Z
|
main/forms.py
|
anupam-tiwari/Def-Hacks-2020
|
d350299af2f0d18ac7b5ec1e29a5bb9b3479b5af
|
[
"Unlicense",
"MIT"
] | null | null | null |
from django import forms
from .models import *
class XrayForm(forms.ModelForm):
class Meta:
model = Xray
fields = ['scan']
| 18
| 32
| 0.638889
| 17
| 144
| 5.411765
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.270833
| 144
| 8
| 33
| 18
| 0.87619
| 0
| 0
| 0
| 0
| 0
| 0.027586
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
2e4fdf084dbc0abb317e6412dff918c1aaad4664
| 128
|
py
|
Python
|
twitter_ads/__init__.py
|
enterstudio/twitter-python-ads-sdk
|
05e2963185b782d17cd75dae96c73f55ed0a0ba9
|
[
"MIT"
] | null | null | null |
twitter_ads/__init__.py
|
enterstudio/twitter-python-ads-sdk
|
05e2963185b782d17cd75dae96c73f55ed0a0ba9
|
[
"MIT"
] | null | null | null |
twitter_ads/__init__.py
|
enterstudio/twitter-python-ads-sdk
|
05e2963185b782d17cd75dae96c73f55ed0a0ba9
|
[
"MIT"
] | null | null | null |
# Copyright (C) 2015 Twitter, Inc.
VERSION = (1, 2, 0)
from twitter_ads.utils import get_version
__version__ = get_version()
| 16
| 41
| 0.726563
| 19
| 128
| 4.526316
| 0.736842
| 0.232558
| 0
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| 0
| 0
| 0
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| 0
| 0
| 0.065421
| 0.164063
| 128
| 7
| 42
| 18.285714
| 0.738318
| 0.25
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 4
|
5cf84d8702365431d9b6628475a46b904bec38a6
| 1,131
|
py
|
Python
|
typography.py
|
jwinnie/py2html
|
abebc3c771dc5ca80ab5ad47489cb4f9998283b0
|
[
"Apache-2.0"
] | null | null | null |
typography.py
|
jwinnie/py2html
|
abebc3c771dc5ca80ab5ad47489cb4f9998283b0
|
[
"Apache-2.0"
] | null | null | null |
typography.py
|
jwinnie/py2html
|
abebc3c771dc5ca80ab5ad47489cb4f9998283b0
|
[
"Apache-2.0"
] | null | null | null |
def title1(content):
return "<h1 class='display-1'>{}</h1>".format(content)
def title2(content):
return "<h2 class='display-2'>{}</h2>".format(content)
def title3(content):
return "<h3 class='display-3'>{}</h3>".format(content)
def title4(content):
return "<h4 class='display-4'>{}</h4>".format(content)
def title5(content):
return "<h5 class='display-5'>{}</h5>".format(content)
def title6(content):
return "<h6 class='display-6'>{}</h6>".format(content)
def h1(content):
return "<h1>{}</h1>".format(content)
def h2(content):
return "<h2>{}</h2>".format(content)
def h3(content):
return "<h3>{}</h3>".format(content)
def h4(content):
return "<h4>{}</h4>".format(content)
def h5(content):
return "<h5>{}</h5>".format(content)
def h6(content):
return "<h6>{}</h6>".format(content)
def important(content):
return """<div class="lead">{}</div>""".format(content)
def small(content):
return "<small>{}</small>".format(content)
def p(content):
return "<p>{}</p>".format(content)
| 18.85
| 59
| 0.575597
| 140
| 1,131
| 4.65
| 0.207143
| 0.299539
| 0.344086
| 0.0553
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| 0
| 0
| 0
| 0
| 0.046307
| 0.198055
| 1,131
| 59
| 60
| 19.169492
| 0.671444
| 0
| 0
| 0
| 0
| 0
| 0.258179
| 0.151194
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0.033333
| 0.5
| 1.033333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
cf17b3dece5754fb10b6ed6c9a4380d2756c99d7
| 974
|
py
|
Python
|
daiquiri/metadata/migrations/0025_add_published_updated.py
|
agy-why/daiquiri
|
4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d
|
[
"Apache-2.0"
] | 14
|
2018-12-23T18:35:02.000Z
|
2021-12-15T04:55:12.000Z
|
daiquiri/metadata/migrations/0025_add_published_updated.py
|
agy-why/daiquiri
|
4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d
|
[
"Apache-2.0"
] | 40
|
2018-12-20T12:44:05.000Z
|
2022-03-21T11:35:20.000Z
|
daiquiri/metadata/migrations/0025_add_published_updated.py
|
agy-why/daiquiri
|
4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d
|
[
"Apache-2.0"
] | 5
|
2019-05-16T08:03:35.000Z
|
2021-08-23T20:03:11.000Z
|
# Generated by Django 2.1.4 on 2019-05-29 11:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('daiquiri_metadata', '0024_django2'),
]
operations = [
migrations.AddField(
model_name='schema',
name='published',
field=models.DateField(blank=True, null=True, verbose_name='Published'),
),
migrations.AddField(
model_name='schema',
name='updated',
field=models.DateField(blank=True, null=True, verbose_name='Updated'),
),
migrations.AddField(
model_name='table',
name='published',
field=models.DateField(blank=True, null=True, verbose_name='Published'),
),
migrations.AddField(
model_name='table',
name='updated',
field=models.DateField(blank=True, null=True, verbose_name='Updated'),
),
]
| 28.647059
| 84
| 0.577002
| 96
| 974
| 5.75
| 0.395833
| 0.130435
| 0.166667
| 0.195652
| 0.728261
| 0.728261
| 0.59058
| 0.59058
| 0.59058
| 0.59058
| 0
| 0.02924
| 0.297741
| 974
| 33
| 85
| 29.515152
| 0.777778
| 0.046201
| 0
| 0.740741
| 1
| 0
| 0.124056
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037037
| 0
| 0.148148
| 0
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| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cf243a113da2ea19a6d50725495fe345dde23853
| 215
|
py
|
Python
|
refinement/dataset/__init__.py
|
XinyuHua/pair-emnlp2020
|
45f8b8ea3752dfb43aa75914afab1b29b2f10c50
|
[
"MIT"
] | 20
|
2020-10-10T05:38:14.000Z
|
2022-02-15T01:07:39.000Z
|
refinement/dataset/__init__.py
|
XinyuHua/pair-emnlp2020
|
45f8b8ea3752dfb43aa75914afab1b29b2f10c50
|
[
"MIT"
] | 4
|
2020-10-20T03:29:41.000Z
|
2021-04-23T16:10:34.000Z
|
refinement/dataset/__init__.py
|
XinyuHua/pair-emnlp2020
|
45f8b8ea3752dfb43aa75914afab1b29b2f10c50
|
[
"MIT"
] | 2
|
2021-07-06T01:20:01.000Z
|
2021-08-19T05:26:24.000Z
|
from .base_dataset import BaseDataset
from .baseline_dataset import BaselineDataset
from .refinement_dataset import RefinementDataset
__all__ = [
'BaseDataset',
'BaselineDataset',
'RefinementDataset'
]
| 21.5
| 49
| 0.786047
| 19
| 215
| 8.526316
| 0.526316
| 0.240741
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148837
| 215
| 9
| 50
| 23.888889
| 0.885246
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 0.375
| 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
| 0
| 0
|
0
| 4
|
cf30dc1f832c2d45390d695f800bed625ee39705
| 24
|
py
|
Python
|
cassandramock/tests/__init__.py
|
chrismohr-peloton/cassandramock
|
9b2339c2b9d60f3a353064b90b14d7a4b86ea654
|
[
"MIT"
] | 7
|
2015-02-02T22:02:47.000Z
|
2019-07-11T21:50:42.000Z
|
cassandramock/tests/__init__.py
|
sriram-mv/cassandramock
|
a860446a24607e2155aaef03d2e6dcfab94abade
|
[
"MIT"
] | 5
|
2015-05-29T18:15:24.000Z
|
2016-02-16T15:31:04.000Z
|
cassandramock/tests/__init__.py
|
sriram-mv/cassandramock
|
a860446a24607e2155aaef03d2e6dcfab94abade
|
[
"MIT"
] | 10
|
2015-05-28T13:56:01.000Z
|
2020-10-25T02:17:14.000Z
|
__author__ = 'srir6369'
| 12
| 23
| 0.75
| 2
| 24
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 0.125
| 24
| 1
| 24
| 24
| 0.47619
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 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
| 0
| 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
| 4
|
cf3c57e8c9640eb1ca933e72680451abc976f04e
| 23
|
py
|
Python
|
example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Bessel Functions/Zeros of Bessel Functions/yn_zeros Compute nt zeros of the Bessel function $Y_n(x)$.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | null | null | null |
example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Bessel Functions/Zeros of Bessel Functions/yn_zeros Compute nt zeros of the Bessel function $Y_n(x)$.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | null | null | null |
example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Bessel Functions/Zeros of Bessel Functions/yn_zeros Compute nt zeros of the Bessel function $Y_n(x)$.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | 1
|
2021-02-04T04:51:48.000Z
|
2021-02-04T04:51:48.000Z
|
special.yn_zeros(n, nt)
| 23
| 23
| 0.782609
| 5
| 23
| 3.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 23
| 1
| 23
| 23
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
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| 0
| 1
| 1
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d86601619a2132302fda154f7c72f93274e6926f
| 154
|
py
|
Python
|
rindowApp/vendor/loader.py
|
rindow/skeleton-mini-webapp2
|
63c4113550e240b5a6bf0bf6d43f6b35dcad0554
|
[
"BSD-3-Clause"
] | null | null | null |
rindowApp/vendor/loader.py
|
rindow/skeleton-mini-webapp2
|
63c4113550e240b5a6bf0bf6d43f6b35dcad0554
|
[
"BSD-3-Clause"
] | null | null | null |
rindowApp/vendor/loader.py
|
rindow/skeleton-mini-webapp2
|
63c4113550e240b5a6bf0bf6d43f6b35dcad0554
|
[
"BSD-3-Clause"
] | null | null | null |
import sys,os
for path in [
'rindow/framework/lib',
]:
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), path)))
| 25.666667
| 97
| 0.727273
| 26
| 154
| 4.153846
| 0.538462
| 0.222222
| 0.240741
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077922
| 154
| 5
| 98
| 30.8
| 0.760563
| 0
| 0
| 0
| 0
| 0
| 0.12987
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
d866b17e22e8c414614d25fc4d1031248ec1aadc
| 143
|
py
|
Python
|
registrobrepp/contact/orgtype.py
|
ivcmartello/registrobrepp
|
dece39a451bcdb964d337df6aa7bd418a60c1a85
|
[
"MIT"
] | null | null | null |
registrobrepp/contact/orgtype.py
|
ivcmartello/registrobrepp
|
dece39a451bcdb964d337df6aa7bd418a60c1a85
|
[
"MIT"
] | null | null | null |
registrobrepp/contact/orgtype.py
|
ivcmartello/registrobrepp
|
dece39a451bcdb964d337df6aa7bd418a60c1a85
|
[
"MIT"
] | null | null | null |
from enum import Enum
class OrgType(Enum):
NORMAL = 'normal'
NIR = 'nir'
PROVIDER = 'provider'
NIR_PROVIDER = 'nir-provider'
| 15.888889
| 33
| 0.636364
| 17
| 143
| 5.294118
| 0.470588
| 0.366667
| 0.422222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.251748
| 143
| 8
| 34
| 17.875
| 0.841122
| 0
| 0
| 0
| 0
| 0
| 0.202797
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
d889f1181dc074410b869d6cd0ce89f96f784d93
| 427
|
py
|
Python
|
a2t/legacy/topic_classification/__init__.py
|
zhuowenzheng/Ask2Transformers
|
f22fd980ff97351acc7e6117aaf272e5946581d4
|
[
"Apache-2.0"
] | 63
|
2020-07-02T11:03:01.000Z
|
2022-03-16T14:38:54.000Z
|
a2t/topic_classification/__init__.py
|
barana91/Ask2Transformers
|
c89307241a2d8be9ac2896c5e66e7fbc947237bb
|
[
"Apache-2.0"
] | 7
|
2021-03-17T18:29:25.000Z
|
2022-02-23T06:19:28.000Z
|
a2t/topic_classification/__init__.py
|
barana91/Ask2Transformers
|
c89307241a2d8be9ac2896c5e66e7fbc947237bb
|
[
"Apache-2.0"
] | 8
|
2021-09-02T20:21:10.000Z
|
2022-03-18T13:35:17.000Z
|
from .mlm import MLMTopicClassifier
from .mnli import NLITopicClassifierWithMappingHead, NLITopicClassifier
from .nsp import NSPTopicClassifier
from .babeldomains import BabelDomainsClassifier
from .wndomains import WNDomainsClassifier
__all__ = [
"NLITopicClassifierWithMappingHead",
"NLITopicClassifier",
"MLMTopicClassifier",
"NSPTopicClassifier",
"BabelDomainsClassifier",
"WNDomainsClassifier",
]
| 28.466667
| 71
| 0.805621
| 28
| 427
| 12.142857
| 0.5
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131148
| 427
| 14
| 72
| 30.5
| 0.916442
| 0
| 0
| 0
| 0
| 0
| 0.299766
| 0.128806
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.384615
| 0
| 0.384615
| 0
| 1
| 0
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d890e72c9adda1ff7b30a324a0c93ecf239895c4
| 45
|
py
|
Python
|
user_login.py
|
AlainChomik/football
|
0e511f002d67c1b337ced73e47163272dd6151c2
|
[
"Apache-2.0"
] | null | null | null |
user_login.py
|
AlainChomik/football
|
0e511f002d67c1b337ced73e47163272dd6151c2
|
[
"Apache-2.0"
] | null | null | null |
user_login.py
|
AlainChomik/football
|
0e511f002d67c1b337ced73e47163272dd6151c2
|
[
"Apache-2.0"
] | null | null | null |
Mein neuer Code...
Neue zeite Codezeile ...
| 15
| 25
| 0.688889
| 6
| 45
| 5.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 45
| 2
| 26
| 22.5
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
d8ba2542b682eb6bc9da356535ac7285b7bf836a
| 296
|
py
|
Python
|
Executor/GraphExecutionType.py
|
keshenjey/Heft
|
bf935ab8afd63d9f1b058b3d3707abef4a71e15c
|
[
"MIT"
] | 3
|
2017-02-15T08:32:17.000Z
|
2017-03-23T17:13:24.000Z
|
Executor/GraphExecutionType.py
|
Keshann/Heft
|
bf935ab8afd63d9f1b058b3d3707abef4a71e15c
|
[
"MIT"
] | 8
|
2016-06-12T04:14:38.000Z
|
2016-06-14T03:39:15.000Z
|
Executor/GraphExecutionType.py
|
Keshann/Heft
|
bf935ab8afd63d9f1b058b3d3707abef4a71e15c
|
[
"MIT"
] | 1
|
2019-01-31T17:49:04.000Z
|
2019-01-31T17:49:04.000Z
|
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import Graph
class GraphExecutionType(object):
def __init__(self):
# @AttributeType GraphExecutionType
self.___pATH = None
# @AttributeType GraphExecutionType
self.___cLUSTER = None
# @AttributeType GraphExecutionType
self.___rANK = None
| 19.733333
| 37
| 0.736486
| 29
| 296
| 7.068966
| 0.655172
| 0.453659
| 0.512195
| 0.380488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004
| 0.155405
| 296
| 14
| 38
| 21.142857
| 0.816
| 0.472973
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.5
| 0
| 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
| 0
|
0
| 4
|
d8e38560501df3c2a7e1fcaff55b0d251d89e335
| 158
|
py
|
Python
|
modules/useless_print.py
|
ploggingdev/python_learn
|
0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215
|
[
"MIT"
] | 10
|
2017-06-23T07:30:52.000Z
|
2019-09-11T20:14:08.000Z
|
modules/useless_print.py
|
ploggingdev/python_learn
|
0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215
|
[
"MIT"
] | null | null | null |
modules/useless_print.py
|
ploggingdev/python_learn
|
0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215
|
[
"MIT"
] | 11
|
2017-01-12T15:34:17.000Z
|
2019-07-12T11:16:16.000Z
|
def useless_print(content):
'''Print the argument recieved'''
print(content)
if __name__ == "__main__":
import sys
useless_print(sys.argv[1])
| 22.571429
| 37
| 0.677215
| 20
| 158
| 4.85
| 0.7
| 0.247423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007813
| 0.189873
| 158
| 7
| 38
| 22.571429
| 0.75
| 0.170886
| 0
| 0
| 0
| 0
| 0.063492
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.4
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
2b23375784ad3bea514af8c65d442d1167d296b3
| 1,059
|
py
|
Python
|
AoC20/day_01/__init__.py
|
a-recknagel/AoC20
|
7aa0013dc745bdc0ad357e1168b212bd065fd092
|
[
"MIT"
] | null | null | null |
AoC20/day_01/__init__.py
|
a-recknagel/AoC20
|
7aa0013dc745bdc0ad357e1168b212bd065fd092
|
[
"MIT"
] | null | null | null |
AoC20/day_01/__init__.py
|
a-recknagel/AoC20
|
7aa0013dc745bdc0ad357e1168b212bd065fd092
|
[
"MIT"
] | null | null | null |
example_data = """\
1721
979
366
299
675
1456\
"""
data = """\
1914
1931
1892
1584
1546
1988
1494
1709
1624
1755
1849
1430
1890
1675
1604
1580
1500
1277
1729
1456
2002
1075
1512
895
1843
1921
1904
1989
1407
1552
1714
757
1733
1459
1777
1440
1649
1409
1662
1968
1775
1998
1754
1938
1964
1415
1990
1997
1870
1664
1145
1782
1820
1625
1599
1530
1759
1575
1614
1869
1620
1818
1295
1667
1361
1520
1555
1485
1502
1983
1104
1973
1433
1906
1583
1562
1493
1945
1528
1600
1814
1712
1848
1454
1801
1710
1824
1426
1977
1511
1644
1302
1428
1513
1261
1761
1680
1731
1724
1970
907
600
1613
1091
1571
1418
1806
1542
1909
1445
1344
1937
1450
1865
1561
1962
1637
1803
1889
365
1810
1791
1591
1532
1863
1658
1808
1816
1837
1764
1443
1805
1616
1403
1656
1661
1734
1930
1120
1920
1227
1618
1640
1586
1982
1534
1278
1269
1572
1654
1472
1974
1748
1425
1553
1708
1394
1417
1746
1745
1834
1787
1298
1786
1966
1768
1932
1523
1356
1547
1634
1951
1922
222
1461
1628
1888
1639
473
1568
1783
572
1522
1934
1629
1283
1550
1859
2007
1996
1822
996
1911
1689
1537
1793
1762
1677
1266
1715\
"""
| 5.018957
| 19
| 0.780925
| 209
| 1,059
| 3.952153
| 0.990431
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.959763
| 0.202077
| 1,059
| 211
| 20
| 5.018957
| 0.017751
| 0
| 0
| 0.009524
| 0
| 0
| 0.965094
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2b4a2e9098beeef82e8048faa9e23db52b8ed780
| 78
|
py
|
Python
|
ref/commandlinearguments/demo.py
|
skrymets/python-core-and-advanced
|
7cb486e9b9413d4cbb7fa67929d492094b2a3abb
|
[
"Apache-2.0"
] | 2
|
2019-04-13T14:10:38.000Z
|
2021-01-17T00:57:51.000Z
|
ref/commandlinearguments/demo.py
|
skrymets/python-core-and-advanced
|
7cb486e9b9413d4cbb7fa67929d492094b2a3abb
|
[
"Apache-2.0"
] | null | null | null |
ref/commandlinearguments/demo.py
|
skrymets/python-core-and-advanced
|
7cb486e9b9413d4cbb7fa67929d492094b2a3abb
|
[
"Apache-2.0"
] | 1
|
2020-02-20T15:44:36.000Z
|
2020-02-20T15:44:36.000Z
|
import sys
lst=sys.argv
for i in lst:print(i)
print(len(lst))
print(lst[0])
| 9.75
| 21
| 0.692308
| 17
| 78
| 3.176471
| 0.588235
| 0.296296
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014925
| 0.141026
| 78
| 8
| 22
| 9.75
| 0.791045
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
2b73f9e0f4d58027edcb5a930b93dd8c81053c54
| 350
|
py
|
Python
|
RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 13
|
2015-11-30T15:49:45.000Z
|
2022-02-08T16:11:30.000Z
|
RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 640
|
2015-02-11T18:55:47.000Z
|
2022-03-31T14:12:23.000Z
|
RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 51
|
2015-08-11T21:01:40.000Z
|
2022-03-30T07:31:34.000Z
|
from RecoEgamma.EgammaElectronProducers.gsfElectrons_cfi import ecalDrivenGsfElectrons
lowPtGsfElectronsPreRegression = ecalDrivenGsfElectrons.clone(gsfElectronCoresTag = "lowPtGsfElectronCores")
from Configuration.Eras.Modifier_fastSim_cff import fastSim
fastSim.toModify(lowPtGsfElectronsPreRegression,ctfTracksTag = "generalTracksBeforeMixing")
| 50
| 108
| 0.897143
| 25
| 350
| 12.44
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051429
| 350
| 6
| 109
| 58.333333
| 0.936747
| 0
| 0
| 0
| 0
| 0
| 0.131429
| 0.131429
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
991dac503d8f515990fefffa79a50b846fa9c1c7
| 45,862
|
py
|
Python
|
pyugend/Comparison.py
|
university-gender-evolution/py-university-gender-dynamics-pkg
|
3479a10a52dbcc9ecc204a4aceb949a4638aca4d
|
[
"MIT"
] | null | null | null |
pyugend/Comparison.py
|
university-gender-evolution/py-university-gender-dynamics-pkg
|
3479a10a52dbcc9ecc204a4aceb949a4638aca4d
|
[
"MIT"
] | 1
|
2018-02-16T22:13:13.000Z
|
2018-02-16T22:16:24.000Z
|
pyugend/Comparison.py
|
university-gender-evolution/py-university-gender-dynamics-pkg
|
3479a10a52dbcc9ecc204a4aceb949a4638aca4d
|
[
"MIT"
] | null | null | null |
__author__ = 'krishnab'
import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file, show
from bokeh.layouts import gridplot
from operator import add, sub
from .ColumnSpecs import MODEL_RUN_COLUMNS, EXPORT_COLUMNS_FOR_CSV
from .PlotComposerOverallAttrition import PlotComposerOverallAttrition
from .PlotComposerOverallMFHiring import PlotComposerOverallMFHiring
from .PlotComposerAutoCorDeptSize import PlotComposerAutoCorDeptSize
from .PlotComposerLevelHiring import PlotComposerLevelHiring
import datetime
height = 700
width = 700
# CONSTANTS
# line_colors = ['#7fc97f', '#beaed4', '#fdc086','#386cb0','#f0027f','#ffff99']
class Comparison():
def __init__(self, model_list):
self.name = 'All Models'
self.label = 'All Models'
self.mlist = model_list
def run_all_models(self, number_of_runs):
for mod in self.mlist:
mod.run_multiple(number_of_runs)
def plot_comparison_overall_chart(self,
plottype,
intervals,
number_of_runs,
target,
xlabel,
ylabel,
title,
line_width=2,
width_=width,
height_=height,
transparency = 0.25,
linecolor=['blue', 'green', 'purple', 'brown'],
target_plot=False,
legend_location='top_right',
color_target='#ca0020',
percent_line_plot=False,
percent_line_value=0.5,
color_percent_line='#ca0020',
target_plot_linewidth=2,
percent_linewidth=2,
model_legend_label=['model'],
target_plot_legend_label='target',
percent_legend_label='percent',
male_female_numbers_plot=False,
mf_male_color=['#0004ff', '#2c7bb6'],
mf_target_color=['red', 'orange', 'deeppink','darkred'],
mf_male_label=['Male model 1', 'Male model 2'],
mf_target_label=['Target 1', 'Target 2'],
mf_male_linewidth=2,
mf_target_linewidth=2,
mf_data_color = ['blue'],
mf_data_label = ['Female Faculty Data', 'Male Faculty Data'],
mf_data_linewidth = [2],
parameter_sweep_param = None,
parameter_ubound = 0,
parameter_lbound = 0,
number_of_steps = 0,
vertical_line_label = 'Original Value',
vertical_line_width = 2,
vertical_line_color = ['black'],
data_plot = True,
data_line_color = ['blue'],
data_line_legend_label = 'Management Data',
year_offset = 0
):
# Choose plot type. This block will initialize the data for the
# plots. If the plot is a parameter sweep, then it will run the
# Models.run_parameter_sweep() function. If this is not a parameter
# sweep, then the block will run the Models.run_multiple() function.
# BEGIN BLOCK
if plottype in ['parameter sweep percentage',
'parameter sweep probability']:
for mod in self.mlist:
mod.run_parameter_sweep(number_of_runs,
parameter_sweep_param,
parameter_lbound,
parameter_ubound,
number_of_steps)
# xval, so I need to directly feed this range in.
vertLineForSweepPlot = getattr(self.mlist[0], parameter_sweep_param)
xval = self.mlist[0].parameter_sweep_results.loc[:,
'increment']
else:
for mod in self.mlist:
mod.run_multiple(number_of_runs)
xval = list(range(min([m.duration for m in self.mlist])))[year_offset:]
# END OF BLOCK
# BEGIN BLOCK
# This section just initializes the bokeh figure with labels and
# sizing.
p = figure(title=title,
x_axis_label=xlabel,
y_axis_label=ylabel,
width=width_,
height=height_)
# END BLOCK
# BEGIN BLOCK
# Generate main plot values.
# This section will take the data from the model simulation and
# convert it to the appropriate y-variables for the plot.
if plottype == 'probability proportion':
for mod in self.mlist:
mod.run_probability_analysis_gender_proportion(number_of_runs,
target)
yval = [m.probability_matrix['Probability'] for m in self.mlist]
data_plot = False
if plottype == 'gender proportion':
yval = [m.results_matrix['mean_gendprop'] for m in self.mlist]
dval = self.mlist[0].mgmt_data.get_field('gender_proportion_dept')
if plottype == 'gender numbers':
yval = [sum(list([m.results_matrix['mean_f1'],
m.results_matrix['mean_f2'],
m.results_matrix['mean_f3']])) for m in self.mlist]
total_faculty = [sum(list([m.results_matrix['mean_m1'],
m.results_matrix['mean_m2'],
m.results_matrix['mean_m3'],
m.results_matrix['mean_f1'],
m.results_matrix['mean_f2'],
m.results_matrix['mean_f3']])) for m in self.mlist]
number_dynamic_target = [np.round(target * dept) for dept in total_faculty]
dval = self.mlist[0].mgmt_data.get_field('total_females_dept')
pass
if plottype == 'unfilled vacancies':
yval = [m.results_matrix['mean_unfilled'] for m in self.mlist]
dval = self.mlist[0].mgmt_data.get_field('excess_hires')
if plottype == 'department size':
yval = [m.results_matrix['mean_dept_size'] for m in self.mlist]
dval = self.mlist[0].mgmt_data.get_field('department_size')
if plottype == 'male female numbers':
yval = [sum(list([m.results_matrix['mean_f1'],
m.results_matrix['mean_f2'],
m.results_matrix['mean_f3']])) for m in self.mlist]
yval2 = [sum(list([m.results_matrix['mean_m1'],
m.results_matrix['mean_m2'],
m.results_matrix['mean_m3']])) for m in self.mlist]
total_faculty = [sum(list([m.results_matrix['mean_m1'],
m.results_matrix['mean_m2'],
m.results_matrix['mean_m3'],
m.results_matrix['mean_f1'],
m.results_matrix['mean_f2'],
m.results_matrix['mean_f3']])) for m in self.mlist]
yval3 = [np.round(target * dept) for dept in total_faculty]
dval_male = self.mlist[0].mgmt_data.get_field('total_males_dept')
dval_female = self.mlist[0].mgmt_data.get_field('total_females_dept')
if plottype == 'parameter sweep percentage':
yval = [m.parameter_sweep_results['mean_gendprop'] for m in
self.mlist]
data_plot = False
if plottype == 'parameter sweep probability':
for mod in self.mlist:
mod.run_probability_parameter_sweep_overall(number_of_runs,
parameter_sweep_param,
parameter_lbound,
parameter_ubound,
number_of_steps,
target)
yval = [m.probability_sweep_results['Probability'] for m in
self.mlist]
data_plot = False
# Set confidence bounds using empirical results
if intervals == 'empirical':
if plottype == 'probability proportion':
upper_band = yval
lower_band = yval
if plottype == 'gender proportion':
upper_band = [m.results_matrix['gendprop_975'] for m in
self.mlist]
lower_band = [m.results_matrix['gendprop_025'] for m in
self.mlist]
if plottype == 'gender numbers':
upper_band = [sum(list([m.results_matrix['f1_975'],
m.results_matrix['f2_975'],
m.results_matrix['f3_975']])) for m in self.mlist]
lower_band = [sum(list([m.results_matrix['f1_025'],
m.results_matrix['f2_025'],
m.results_matrix['f3_025']])) for m in self.mlist]
if plottype == 'unfilled vacancies':
upper_band = [m.results_matrix['unfilled_975'] for m in
self.mlist]
lower_band = [m.results_matrix['unfilled_025'] for m in
self.mlist]
if plottype == 'department size':
upper_band = [m.results_matrix['dept_size_975'] for m in
self.mlist]
lower_band = [m.results_matrix['dept_size_025'] for m in
self.mlist]
if plottype == 'male female numbers':
upper_band = yval
lower_band = yval
if plottype == 'parameter sweep percentage':
upper_band = [m.parameter_sweep_results['gendprop_975'] for m in
self.mlist]
lower_band = [m.parameter_sweep_results['gendprop_025'] for m in
self.mlist]
if plottype == 'parameter sweep probability':
upper_band = yval
lower_band = yval
# Set confidence bounds using 2 standard deviations
if intervals == 'standard':
if plottype == 'probability proportion':
upper_band = yval
lower_band = yval
if plottype == 'gender proportion':
fill_matrix = [m.results_matrix['std_gendprop'] for m in
self.mlist]
upper_band = list(map(add, [y for y in yval],[1.96*f for f in
fill_matrix]))
lower_band = list(map(sub, [y for y in yval],[1.96*f for f in
fill_matrix]))
if plottype == 'gender numbers':
pass
if plottype == 'unfilled vacancies':
fill_matrix = [m.results_matrix['std_unfilled'] for m in
self.mlist]
upper_band = list(map(add, [y for y in yval],[1.96*f for f in
fill_matrix]))
lower_band = list(map(sub, [y for y in yval],[1.96*f for f in
fill_matrix]))
if plottype == 'department size':
fill_matrix = [m.results_matrix['std_dept_size'] for m in
self.mlist]
upper_band = list(map(add, [y for y in yval],[1.96*f for f in
fill_matrix]))
lower_band = list(map(sub, [y for y in yval],[1.96*f for f in
fill_matrix]))
if plottype == 'male female numbers':
upper_band = yval
lower_band = yval
if plottype == 'parameter sweep percentage':
fill_matrix = [m.parameter_sweep_results['std_gendprop'] for m in
self.mlist]
upper_band = list(map(add, [y for y in yval],[1.96*f for f in
fill_matrix]))
lower_band = list(map(sub, [y for y in yval],[1.96*f for f in
fill_matrix]))
if plottype == 'parameter sweep probability':
upper_band = yval
lower_band = yval
# Execute plots
for k, v in enumerate(self.mlist):
p.line(xval, yval[k],
line_width=line_width,
line_color=linecolor[k],
legend=model_legend_label[k])
p.circle(xval, yval[k],
color=linecolor[k],
size=3)
x_data = np.asarray(xval)
band_x = np.append(x_data, x_data[::-1])
band_y = np.append(lower_band[k], upper_band[k][::-1])
p.patch(band_x,
band_y,
color=linecolor[k],
fill_alpha=transparency)
if plottype in ['parameter sweep percentage',
'parameter sweep probability']:
p.line(vertLineForSweepPlot, np.linspace(0, max(band_y)),
line_width = vertical_line_width,
line_color = vertical_line_color[k],
legend = vertical_line_label,
line_dash=[6,6])
if male_female_numbers_plot:
p.line(xval,
yval2[k],
line_color=mf_male_color[k],
legend=mf_male_label[k],
line_width=mf_male_linewidth)
p.circle(xval, yval2[k],
color=mf_male_color[k],
size=3)
p.line(xval,
yval3[k],
line_color=mf_target_color[k],
legend=mf_target_label[k],
line_width=mf_target_linewidth,
line_dash=[6,6])
if target_plot:
p.line(xval, target,
line_color=color_target,
legend=target_plot_legend_label,
line_width=target_plot_linewidth,
line_dash=[6, 6])
if percent_line_plot:
p.line(xval, percent_line_value,
line_color=color_percent_line,
legend=percent_legend_label,
line_width=percent_linewidth,
line_dash=[2, 2])
if data_plot and plottype != 'male female numbers':
p.line(xval, dval,
line_color = data_line_color[0],
legend = data_line_legend_label,
line_width = line_width,
line_dash = 'dashdot')
if data_plot and plottype == 'male female numbers':
p.line(xval,
dval_female,
line_color=mf_data_color[0],
legend=mf_data_label[0],
line_width=mf_data_linewidth[0],
line_dash=[4, 4])
p.line(xval,
dval_male,
line_color=mf_data_color[0],
legend=mf_data_label[1],
line_width=mf_data_linewidth[0],
line_dash=[4,4])
if plottype == 'gender numbers':
p.line(xval,
number_dynamic_target[k],
line_color=color_target,
legend=target_plot_legend_label,
line_width=target_plot_linewidth,
line_dash=[6, 6])
return(p)
def plot_comparison_level_chart(self,
plottype,
intervals,
number_of_runs,
target,
xlabels,
ylabels,
titles = ['f1', 'f2', 'f3', 'm1', 'm2', 'm3'],
line_width=2,
height_= height // 2,
width_ = width // 2,
legend_location='top right',
model_legend_label=['model1', 'model2'],
transparency = 0.25,
linecolor=['green', 'purple', 'blue', 'brown'],
target_plot=False,
target_color='#ca0020',
target_number_color = ['red', 'orange','deeppink','darkred' ],
target_number_labels = ['Target, Model 1',
'Target, Model 2',
'Target, Model 3'],
target_plot_linewidth=2,
target_plot_legend_label='target',
percent_line_plot=False,
percent_line_value=0.5,
color_percent_line='#ca0020',
percent_linewidth=2,
percent_legend_label='percent',
parameter_sweep_param=None,
parameter_ubound=0,
parameter_lbound=0,
number_of_steps=0,
vertical_line_label='Original Value',
vertical_line_width = 2,
vertical_line_color = ['black', 'purple'],
data_plot=True,
data_line_color=['blue'],
data_line_legend_label=['Management Data']
):
# Choose plot type. This block will initialize the data for the
# plots. If the plot is a parameter sweep, then it will run the
# Models.run_parameter_sweep() function. If this is not a parameter
# sweep, then the block will run the Models.run_multiple() function.
# BEGIN BLOCK
if plottype in ['parameter sweep percentage',
'parameter sweep probability',
'parameter sweep number']:
for mod in self.mlist:
mod.run_parameter_sweep(number_of_runs,
parameter_sweep_param,
parameter_lbound,
parameter_ubound,
number_of_steps)
# xval, so I need to directly feed this range in.
vertLineForSweepPlot = getattr(self.mlist[0], parameter_sweep_param)
xval = self.mlist[0].parameter_sweep_results.loc[:, 'increment']
else:
for mod in self.mlist:
mod.run_multiple(number_of_runs)
xval = list(range(min([m.duration for m in self.mlist])))
# END BLOCK
# Generate main plot values.
# This section will take the data from the model simulation and
# convert it to the appropriate y-variables for the plot.
# BEGIN BLOCK
dval_f1 = 0
dval_f2 = 0
dval_f3 = 0
dval_m1 = 0
dval_m2 = 0
dval_m3 = 0
if plottype == 'probability proportion':
for mod in self.mlist:
mod.run_probability_analysis_gender_by_level(number_of_runs,
target)
# Not a very finesse way to do these assignments, but it makes
# the code more readable.
yval_f1 = [m.probability_by_level['pf1'] for m in self.mlist]
yval_f2 = [m.probability_by_level['pf2'] for m in self.mlist]
yval_f3 = [m.probability_by_level['pf3'] for m in self.mlist]
yval_m1 = [m.probability_by_level['pm1'] for m in self.mlist]
yval_m2 = [m.probability_by_level['pm2'] for m in self.mlist]
yval_m3 = [m.probability_by_level['pm3'] for m in self.mlist]
data_plot = False
if plottype == 'gender proportion':
female_pct_matrices = [m.pct_female_matrix for m in self.mlist]
yval_f1 = [m['mpct_f1'] for m in female_pct_matrices]
yval_f2 = [m['mpct_f2'] for m in female_pct_matrices]
yval_f3 = [m['mpct_f3'] for m in female_pct_matrices]
yval_m1 = [m['mpct_m1'] for m in female_pct_matrices]
yval_m2 = [m['mpct_m2'] for m in female_pct_matrices]
yval_m3 = [m['mpct_m3'] for m in female_pct_matrices]
dval_f1 = self.mlist[0].mgmt_data.get_field('gender_proportion_1')
dval_f2 = self.mlist[0].mgmt_data.get_field('gender_proportion_2')
dval_f3 = self.mlist[0].mgmt_data.get_field('gender_proportion_3')
dval_m1 = [1 - x for x in self.mlist[0].mgmt_data.get_field('gender_proportion_1')]
dval_m2 = [1 - x for x in self.mlist[0].mgmt_data.get_field('gender_proportion_2')]
dval_m3 = [1 - x for x in self.mlist[0].mgmt_data.get_field('gender_proportion_3')]
if plottype == 'gender number':
mean_matrices = [m.results_matrix.loc[:,'mean_f1':'mean_m3'] for
m in self.mlist]
yval_f1 = [m['mean_f1'] for m in mean_matrices]
yval_f2 = [m['mean_f2'] for m in mean_matrices]
yval_f3 = [m['mean_f3'] for m in mean_matrices]
yval_m1 = [m['mean_m1'] for m in mean_matrices]
yval_m2 = [m['mean_m2'] for m in mean_matrices]
yval_m3 = [m['mean_m3'] for m in mean_matrices]
dval_f1 = self.mlist[0].mgmt_data.get_field('number_f1')
dval_f2 = self.mlist[0].mgmt_data.get_field('number_f2')
dval_f3 = self.mlist[0].mgmt_data.get_field('number_f3')
dval_m1 = self.mlist[0].mgmt_data.get_field('number_m1')
dval_m2 = self.mlist[0].mgmt_data.get_field('number_m2')
dval_m3 = self.mlist[0].mgmt_data.get_field('number_m3')
total_1 = [sum(list([m.results_matrix['mean_f1'],
m.results_matrix['mean_m1']])) for m in
self.mlist]
total_2 = [sum(list([m.results_matrix['mean_f2'],
m.results_matrix['mean_m2']])) for m in
self.mlist]
total_3 = [sum(list([m.results_matrix['mean_f3'],
m.results_matrix['mean_m3']])) for m in
self.mlist]
target_f1 = [np.round(target * level) for level in total_1]
target_f2 = [np.round(target * level) for level in total_2]
target_f3 = [np.round(target * level) for level in total_3]
target_m1 = [np.round((1-target) * level) for level in total_1]
target_m2 = [np.round((1-target) * level) for level in total_2]
target_m3 = [np.round((1-target) * level) for level in total_3]
num_targets = [target_f1,
target_f2,
target_f3,
target_m1,
target_m2,
target_m3]
if plottype == 'parameter sweep percentage':
female_sweep_matrices = [m.parameter_sweep_results for m in
self.mlist]
yval_f1 = [m['mpct_f1'] for m in female_sweep_matrices]
yval_f2 = [m['mpct_f2'] for m in female_sweep_matrices]
yval_f3 = [m['mpct_f3'] for m in female_sweep_matrices]
yval_m1 = [m['mpct_m1'] for m in female_sweep_matrices]
yval_m2 = [m['mpct_m2'] for m in female_sweep_matrices]
yval_m3 = [m['mpct_m3'] for m in female_sweep_matrices]
data_plot = False
if plottype == 'parameter sweep number':
female_sweep_matrices = [m.parameter_sweep_results for m in
self.mlist]
yval_f1 = [m['mean_f1'] for m in female_sweep_matrices]
yval_f2 = [m['mean_f2'] for m in female_sweep_matrices]
yval_f3 = [m['mean_f3'] for m in female_sweep_matrices]
yval_m1 = [m['mean_m1'] for m in female_sweep_matrices]
yval_m2 = [m['mean_m2'] for m in female_sweep_matrices]
yval_m3 = [m['mean_m3'] for m in female_sweep_matrices]
data_plot = False
if plottype == 'parameter sweep probability':
data_plot = False
pass
#END BLOCK
# setup empirical bounds
if intervals == 'empirical':
if plottype == 'probability proportion':
upper_f1 = yval_f1
upper_f2 = yval_f2
upper_f3 = yval_f3
upper_m1 = yval_m1
upper_m2 = yval_m2
upper_m3 = yval_m3
lower_f1 = yval_f1
lower_f2 = yval_f2
lower_f3 = yval_f3
lower_m1 = yval_m1
lower_m2 = yval_m2
lower_m3 = yval_m3
if plottype == 'gender proportion':
upper_f1 = [m['pf1_975'] for m in female_pct_matrices]
upper_f2 = [m['pf2_975'] for m in female_pct_matrices]
upper_f3 = [m['pf3_975'] for m in female_pct_matrices]
upper_m1 = [m['pm1_975'] for m in female_pct_matrices]
upper_m2 = [m['pm2_975'] for m in female_pct_matrices]
upper_m3 = [m['pm3_975'] for m in female_pct_matrices]
# print('band', upper_f2)
# print('\n')
lower_f1 = [m['pf1_025'] for m in female_pct_matrices]
lower_f2 = [m['pf2_025'] for m in female_pct_matrices]
lower_f3 = [m['pf3_025'] for m in female_pct_matrices]
lower_m1 = [m['pm1_025'] for m in female_pct_matrices]
lower_m2 = [m['pm2_025'] for m in female_pct_matrices]
lower_m3 = [m['pm3_025'] for m in female_pct_matrices]
if plottype == 'gender number':
u_matrices = [m.results_matrix.loc[:, 'f1_975':'m3_975'] for
m in
self.mlist]
upper_f1 = [m['f1_975'] for m in u_matrices]
upper_f2 = [m['f2_975'] for m in u_matrices]
upper_f3 = [m['f3_975'] for m in u_matrices]
upper_m1 = [m['m1_975'] for m in u_matrices]
upper_m2 = [m['m2_975'] for m in u_matrices]
upper_m3 = [m['m3_975'] for m in u_matrices]
l_matrices = [m.results_matrix.loc[:, 'f1_025':'m3_025'] for
m in
self.mlist]
lower_f1 = [m['f1_025'] for m in l_matrices]
lower_f2 = [m['f2_025'] for m in l_matrices]
lower_f3 = [m['f3_025'] for m in l_matrices]
lower_m1 = [m['m1_025'] for m in l_matrices]
lower_m2 = [m['m2_025'] for m in l_matrices]
lower_m3 = [m['m3_025'] for m in l_matrices]
if plottype == 'parameter sweep percentage':
upper_f1 = [m['pf1_975'] for m in female_sweep_matrices]
upper_f2 = [m['pf2_975'] for m in female_sweep_matrices]
upper_f3 = [m['pf3_975'] for m in female_sweep_matrices]
upper_m1 = [m['pm1_975'] for m in female_sweep_matrices]
upper_m2 = [m['pm2_975'] for m in female_sweep_matrices]
upper_m3 = [m['pm3_975'] for m in female_sweep_matrices]
lower_f1 = [m['pf1_025'] for m in female_sweep_matrices]
lower_f2 = [m['pf2_025'] for m in female_sweep_matrices]
lower_f3 = [m['pf3_025'] for m in female_sweep_matrices]
lower_m1 = [m['pm1_025'] for m in female_sweep_matrices]
lower_m2 = [m['pm2_025'] for m in female_sweep_matrices]
lower_m3 = [m['pm3_025'] for m in female_sweep_matrices]
if plottype == 'parameter sweep number':
upper_f1 = [m['f1_975'] for m in female_sweep_matrices]
upper_f2 = [m['f2_975'] for m in female_sweep_matrices]
upper_f3 = [m['f3_975'] for m in female_sweep_matrices]
upper_m1 = [m['m1_975'] for m in female_sweep_matrices]
upper_m2 = [m['m2_975'] for m in female_sweep_matrices]
upper_m3 = [m['m3_975'] for m in female_sweep_matrices]
lower_f1 = [m['f1_025'] for m in female_sweep_matrices]
lower_f2 = [m['f2_025'] for m in female_sweep_matrices]
lower_f3 = [m['f3_025'] for m in female_sweep_matrices]
lower_m1 = [m['m1_025'] for m in female_sweep_matrices]
lower_m2 = [m['m2_025'] for m in female_sweep_matrices]
lower_m3 = [m['m3_025'] for m in female_sweep_matrices]
# setup standard bounds
if intervals == 'standard':
if plottype == 'probability proportion':
upper_f1 = yval_f1
upper_f2 = yval_f2
upper_f3 = yval_f3
upper_m1 = yval_m1
upper_m2 = yval_m2
upper_m3 = yval_m3
lower_f1 = yval_f1
lower_f2 = yval_f2
lower_f3 = yval_f3
lower_m1 = yval_m1
lower_m2 = yval_m2
lower_m3 = yval_m3
if plottype == 'gender proportion':
upper_f1 = list(map(add, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in female_pct_matrices]))
upper_f1 = np.where(np.array(upper_f1)>1,1,np.array(upper_f1))
upper_f2 = list(map(add, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in female_pct_matrices]))
upper_f2 = np.where(np.array(upper_f2)>1,1,np.array(upper_f2))
upper_f3 = list(map(add, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in female_pct_matrices]))
upper_f3 = np.where(np.array(upper_f3)>1,1,np.array(upper_f3))
upper_m1 = list(map(add, [y for y in yval_m1], [1.96 * m[
'spct_m1']for m in female_pct_matrices]))
upper_m1 = np.where(np.array(upper_m1)>1,1,np.array(upper_m1))
upper_m2 = list(map(add, [y for y in yval_m2], [1.96 * m[
'spct_m2']for m in female_pct_matrices]))
upper_m2 = np.where(np.array(upper_m2)>1,1,np.array(upper_m2))
upper_m3 = list(map(add, [y for y in yval_m3], [1.96 * m[
'spct_m3']for m in female_pct_matrices]))
upper_m3 = np.where(np.array(upper_m3)>1,1,np.array(upper_m3))
lower_f1 = list(map(sub, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in female_pct_matrices]))
lower_f1 = np.where(np.array(lower_f1)<0,0,np.array(lower_f1))
lower_f2 = list(map(sub, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in female_pct_matrices]))
lower_f2 = np.where(np.array(lower_f2)<0,0,np.array(lower_f2))
lower_f3 = list(map(sub, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in female_pct_matrices]))
lower_f3 = np.where(np.array(lower_f3)<0,0,np.array(lower_f3))
lower_m1 = list(map(sub, [y for y in yval_m1], [1.96 * m[
'spct_m1'] for m in female_pct_matrices]))
lower_m1 = np.where(np.array(lower_m1)<0,0,np.array(lower_m1))
lower_m2 = list(map(sub, [y for y in yval_m2], [1.96 * m[
'spct_m2'] for m in female_pct_matrices]))
lower_m2 = np.where(np.array(lower_m2)<0,0,np.array(lower_m2))
lower_m3 = list(map(sub, [y for y in yval_m3], [1.96 * m[
'spct_m3'] for m in female_pct_matrices]))
lower_m3 = np.where(np.array(lower_m3)<0,0,np.array(lower_m3))
if plottype == 'gender number':
std_matrices = [m.results_matrix[:, 'std_f1':'std_m3'] for m in
self.mlist]
upper_f1 = list(map(add, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in std_matrices]))
upper_f2 = list(map(add, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in std_matrices]))
upper_f3 = list(map(add, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in std_matrices]))
upper_m1 = list(map(add, [y for y in yval_m1], [1.96 * m[
'spct_m1'] for m in std_matrices]))
upper_m2 = list(map(add, [y for y in yval_m2], [1.96 * m[
'spct_m2'] for m in std_matrices]))
upper_m3 = list(map(add, [y for y in yval_m3], [1.96 * m[
'spct_m3'] for m in std_matrices]))
lower_f1 = list(map(sub, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in std_matrices]))
lower_f2 = list(map(sub, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in std_matrices]))
lower_f3 = list(map(sub, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in std_matrices]))
lower_m1 = list(map(sub, [y for y in yval_m1], [1.96 * m[
'spct_m1'] for m in std_matrices]))
lower_m2 = list(map(sub, [y for y in yval_m2], [1.96 * m[
'spct_m2'] for m in std_matrices]))
lower_m3 = list(map(sub, [y for y in yval_m3], [1.96 * m[
'spct_m3'] for m in std_matrices]))
if plottype == 'parameter sweep percentage ':
upper_f1 = list(map(add, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in female_sweep_matrices]))
upper_f1 = np.where(np.array(upper_f1)>1,1,np.array(upper_f1))
upper_f2 = list(map(add, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in female_sweep_matrices]))
upper_f2 = np.where(np.array(upper_f2)>1,1,np.array(upper_f2))
upper_f3 = list(map(add, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in female_sweep_matrices]))
upper_f3 = np.where(np.array(upper_f3)>1,1,np.array(upper_f3))
upper_m1 = list(map(add, [y for y in yval_m1], [1.96 * m[
'spct_m1']for m in female_sweep_matrices]))
upper_m1 = np.where(np.array(upper_m1)>1,1,np.array(upper_m1))
upper_m2 = list(map(add, [y for y in yval_m2], [1.96 * m[
'spct_m2']for m in female_sweep_matrices]))
upper_m2 = np.where(np.array(upper_m2)>1,1,np.array(upper_m2))
upper_m3 = list(map(add, [y for y in yval_m3], [1.96 * m[
'spct_m3']for m in female_sweep_matrices]))
upper_m3 = np.where(np.array(upper_m3)>1,1,np.array(upper_m3))
lower_f1 = list(map(sub, [y for y in yval_f1], [1.96 * m[
'spct_f1'] for m in female_sweep_matrices]))
lower_f1 = np.where(np.array(lower_f1)<0,0,np.array(lower_f1))
lower_f2 = list(map(sub, [y for y in yval_f2], [1.96 * m[
'spct_f2'] for m in female_sweep_matrices]))
lower_f2 = np.where(np.array(lower_f2)<0,0,np.array(lower_f2))
lower_f3 = list(map(sub, [y for y in yval_f3], [1.96 * m[
'spct_f3'] for m in female_sweep_matrices]))
lower_f3 = np.where(np.array(lower_f3)<0,0,np.array(lower_f3))
lower_m1 = list(map(sub, [y for y in yval_m1], [1.96 * m[
'spct_m1'] for m in female_sweep_matrices]))
lower_m1 = np.where(np.array(lower_m1)<0,0,np.array(lower_m1))
lower_m2 = list(map(sub, [y for y in yval_m2], [1.96 * m[
'spct_m2'] for m in female_sweep_matrices]))
lower_m2 = np.where(np.array(lower_m2)<0,0,np.array(lower_m2))
lower_m3 = list(map(sub, [y for y in yval_m3], [1.96 * m[
'spct_m3'] for m in female_sweep_matrices]))
lower_m3 = np.where(np.array(lower_m3)<0,0,np.array(lower_m3))
if plottype == 'parameter sweep number':
upper_f1 = list(map(add, [y for y in yval_f1], [1.96 * m[
'std_f1'] for m in female_sweep_matrices]))
upper_f2 = list(map(add, [y for y in yval_f2], [1.96 * m[
'std_f2'] for m in female_sweep_matrices]))
upper_f3 = list(map(add, [y for y in yval_f3], [1.96 * m[
'std_f3'] for m in female_sweep_matrices]))
upper_m1 = list(map(add, [y for y in yval_m1], [1.96 * m[
'std_m1']for m in female_sweep_matrices]))
upper_m2 = list(map(add, [y for y in yval_m2], [1.96 * m[
'std_m2']for m in female_sweep_matrices]))
upper_m3 = list(map(add, [y for y in yval_m3], [1.96 * m[
'std_m3']for m in female_sweep_matrices]))
lower_f1 = list(map(sub, [y for y in yval_f1], [1.96 * m[
'std_f1'] for m in female_sweep_matrices]))
lower_f1 = np.where(np.array(lower_f1)<0,0,np.array(lower_f1))
lower_f2 = list(map(sub, [y for y in yval_f2], [1.96 * m[
'std_f2'] for m in female_sweep_matrices]))
lower_f2 = np.where(np.array(lower_f2)<0,0,np.array(lower_f2))
lower_f3 = list(map(sub, [y for y in yval_f3], [1.96 * m[
'std_f3'] for m in female_sweep_matrices]))
lower_f3 = np.where(np.array(lower_f3)<0,0,np.array(lower_f3))
lower_m1 = list(map(sub, [y for y in yval_m1], [1.96 * m[
'std_m1'] for m in female_sweep_matrices]))
lower_m1 = np.where(np.array(lower_m1)<0,0,np.array(lower_m1))
lower_m2 = list(map(sub, [y for y in yval_m2], [1.96 * m[
'std_m2'] for m in female_sweep_matrices]))
lower_m2 = np.where(np.array(lower_m2)<0,0,np.array(lower_m2))
lower_m3 = list(map(sub, [y for y in yval_m3], [1.96 * m[
'std_m3'] for m in female_sweep_matrices]))
lower_m3 = np.where(np.array(lower_m3)<0,0,np.array(lower_m3))
levels = ['f1', 'f2', 'f3', 'm1', 'm2', 'm3']
yvals = [yval_f1, yval_f2, yval_f3, yval_m1, yval_m2, yval_m3]
dvals = [dval_f1, dval_f2, dval_f3, dval_m1, dval_m2, dval_m3]
upper_fill = [upper_f1, upper_f2, upper_f3, upper_m1, upper_m2,
upper_m3]
lower_fill = [lower_f1, lower_f2, lower_f3, lower_m1, lower_m2,
lower_m3]
plots = []
x_data = np.asarray(xval)
band_x = np.append(x_data, x_data[::-1])
for key, val in enumerate(levels):
plots.append(figure(title=titles[key],
x_axis_label=xlabels[key],
y_axis_label = ylabels[key],
width=width_,
height=height_))
for k,v in enumerate(self.mlist):
for i, p in enumerate(plots):
p.line(xval, yvals[i][k],
line_width=line_width,
line_color=linecolor[k],
legend=model_legend_label[k])
band_y = np.append(lower_fill[i][k], upper_fill[i][k][::-1])
p.patch(band_x,
band_y,
color=linecolor[k],
fill_alpha=transparency)
for k, v in enumerate(self.mlist):
if plottype in ['parameter sweep percentage',
'parameter sweep probability',
'parameter sweep number']:
for i, p in enumerate(plots):
p.line(vertLineForSweepPlot, np.linspace(0, max(band_y)),
line_width = vertical_line_width,
line_color = vertical_line_color[k],
legend = vertical_line_label,
line_dash=[6,6])
if target_plot and plottype != 'gender number':
for i, p in enumerate(plots):
p.line(xval,
target,
line_color=target_color,
line_width=target_plot_linewidth,
legend=target_plot_legend_label,
line_dash=[6,6])
if target_plot and plottype == 'gender number':
for k, v in enumerate(self.mlist):
for i, p in enumerate(plots):
p.line(xval,
num_targets[i][k],
line_color=target_number_color[k],
line_width=target_plot_linewidth,
legend=target_number_labels[k],
line_dash=[6, 6]
)
if percent_line_plot:
for i, p in enumerate(plots):
p.line(xval, percent_line_value,
line_color=color_percent_line,
line_width=percent_linewidth,
line_dash=[2,2],
legend=percent_legend_label)
if data_plot:
for i, p in enumerate(plots):
p.line(xval, dvals[i],
line_color=data_line_color[0],
line_width=line_width,
line_dash='dashdot',
legend=data_line_legend_label[0])
grid = gridplot([[plots[0], plots[1], plots[2]],
[plots[3], plots[4], plots[5]]])
def export_model_run(self, model_label, model_choice, number_of_runs):
if not hasattr(self, 'res'):
self.mlist[0].run_multiple(number_of_runs)
# first I will allocate the memory by creating an empty dataframe.
# then I will iterate over the res_array matrix and write to the
# correct rows of the dataframe. This is more memory efficient compared
# to appending to a dataframe.
columnnames = ['run', 'year'] + MODEL_RUN_COLUMNS + \
EXPORT_COLUMNS_FOR_CSV + ['model_name', 'date_generated']
print_array = np.zeros([self.mlist[0].duration * number_of_runs,
len(columnnames)])
for idx in range(number_of_runs):
print_array[(idx * self.mlist[0].duration):(idx * self.mlist[0].
duration + self.mlist[0].duration), 0] = idx
print_array[(idx * self.mlist[0].duration):(idx * self.mlist[0].
duration + self.mlist[0].duration),
1:-2] = pd.DataFrame(self.mlist[0].res_array['run'][idx])
filename = model_label + "_iter" + str(number_of_runs) + ".csv"
df_print_array = pd.DataFrame(print_array, columns=columnnames).round(2)
df_print_array.iloc[:, -2] = model_choice
df_print_array.iloc[:,-1] = str(datetime.datetime.now())
df_print_array.to_csv(filename, index=False)
filename = model_label + "_iter" + str(number_of_runs) + "_all_summary.csv"
results = pd.concat([self.mlist[0].results_matrix.iloc[:, 0:-1].round(2),
self.mlist[0].pct_female_matrix.iloc[:, 1:].astype(float).round(3)], axis=1)
results['date_generated'] = str(datetime.datetime.now())
results['model_name'] = model_label
results['year'] = np.arange(self.mlist[0].duration)
results.to_csv(filename, index=False)
def plot_attrition_overall(self, settings):
self.run_all_models(settings['number_of_runs'])
return PlotComposerOverallAttrition(self.mlist, settings).execute_plot()
def plot_hiring_mf_overall(self, settings):
self.run_all_models(settings['number_of_runs'])
return PlotComposerOverallMFHiring(self.mlist, settings).execute_plot()
def plot_autocor_dept_size(self, settings):
#self.run_all_models(settings['number_of_runs'])
return PlotComposerAutoCorDeptSize(self.mlist, settings).execute_plot()
def plot_hiring_bylevel(self, settings):
self.run_all_models(settings['number_of_runs'])
return PlotComposerLevelHiring(self.mlist, settings).execute_plot()
| 44.055716
| 95
| 0.508089
| 5,638
| 45,862
| 3.874069
| 0.05729
| 0.029851
| 0.044776
| 0.049446
| 0.792785
| 0.763392
| 0.734365
| 0.707765
| 0.66276
| 0.619037
| 0
| 0.042712
| 0.39403
| 45,862
| 1,040
| 96
| 44.098077
| 0.743226
| 0.037177
| 0
| 0.587776
| 0
| 0
| 0.076574
| 0.000499
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011704
| false
| 0.003901
| 0.014304
| 0.0013
| 0.03251
| 0.009103
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
99401a7bd2c6e3ecb8b4b60088a02ca13ad242af
| 107
|
bzl
|
Python
|
test/com/facebook/buck/parser/testdata/python_user_defined_rules/errors/invalid_attr_name/bad_attrs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 8,027
|
2015-01-02T05:31:44.000Z
|
2022-03-31T07:08:09.000Z
|
test/com/facebook/buck/parser/testdata/python_user_defined_rules/errors/invalid_attr_name/bad_attrs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 2,355
|
2015-01-01T15:30:53.000Z
|
2022-03-30T20:21:16.000Z
|
test/com/facebook/buck/parser/testdata/python_user_defined_rules/errors/invalid_attr_name/bad_attrs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 1,280
|
2015-01-09T03:29:04.000Z
|
2022-03-30T15:14:14.000Z
|
def _impl(_ctx):
pass
bad_attrs = rule(implementation = _impl, attrs = {"1234isntvalid": attr.int()})
| 21.4
| 79
| 0.682243
| 13
| 107
| 5.307692
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044444
| 0.158879
| 107
| 4
| 80
| 26.75
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0.121495
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
995250f9e5d5c8cfc9076c0744ff6774100f5c5c
| 45
|
py
|
Python
|
src/Web Server Micropython/src/config.py
|
AlestanAlves/IoT-Devices
|
ee96a11139e2f147e892e58350e258fecfd2bc9e
|
[
"MIT"
] | null | null | null |
src/Web Server Micropython/src/config.py
|
AlestanAlves/IoT-Devices
|
ee96a11139e2f147e892e58350e258fecfd2bc9e
|
[
"MIT"
] | null | null | null |
src/Web Server Micropython/src/config.py
|
AlestanAlves/IoT-Devices
|
ee96a11139e2f147e892e58350e258fecfd2bc9e
|
[
"MIT"
] | null | null | null |
# Networking settings
ssid = ""
password = ""
| 15
| 21
| 0.666667
| 4
| 45
| 7.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 45
| 3
| 22
| 15
| 0.810811
| 0.422222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.5
| 0
| 0
| 0
| 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
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
9986b5a5e3d21a2209ac2050e7dbffba4eaa887e
| 334
|
py
|
Python
|
accounts/models.py
|
Murtuza47/Star-Social
|
c15aa6e313ffee00d603482f684556c35a6e713e
|
[
"MIT"
] | null | null | null |
accounts/models.py
|
Murtuza47/Star-Social
|
c15aa6e313ffee00d603482f684556c35a6e713e
|
[
"MIT"
] | null | null | null |
accounts/models.py
|
Murtuza47/Star-Social
|
c15aa6e313ffee00d603482f684556c35a6e713e
|
[
"MIT"
] | null | null | null |
from django.db import models
from django.contrib import auth
# Create your models here.
class User(auth.models.User, auth.models.PermissionsMixin):
"""This class is inherited from base User class and the permissions mixin"""
def __str__(self):
return f"@{self.username}" #This username come from the inherited class
| 33.4
| 80
| 0.745509
| 48
| 334
| 5.104167
| 0.583333
| 0.081633
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170659
| 334
| 9
| 81
| 37.111111
| 0.884477
| 0.416168
| 0
| 0
| 0
| 0
| 0.085106
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 1
| 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
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
999018d4fb928019ab4b3e39a6e4019e620c8e13
| 78
|
py
|
Python
|
tests/strategies/__init__.py
|
lycantropos/bentley_ottmann
|
988075aada80e5d5c8d53d513de130004b69c3b9
|
[
"MIT"
] | 13
|
2020-04-03T04:43:44.000Z
|
2022-01-18T10:40:40.000Z
|
tests/strategies/__init__.py
|
lycantropos/bentley_ottmann
|
988075aada80e5d5c8d53d513de130004b69c3b9
|
[
"MIT"
] | 19
|
2020-01-31T05:25:42.000Z
|
2021-04-01T13:20:05.000Z
|
tests/strategies/__init__.py
|
lycantropos/bentley_ottmann
|
988075aada80e5d5c8d53d513de130004b69c3b9
|
[
"MIT"
] | 3
|
2020-06-08T11:15:32.000Z
|
2021-02-15T12:37:01.000Z
|
from .base import (points_strategies,
segments_strategies)
| 26
| 39
| 0.641026
| 7
| 78
| 6.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.307692
| 78
| 2
| 40
| 39
| 0.888889
| 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
| 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
| 4
|
99a5cd1f09cad717eba8f37ab45d53652452a579
| 22
|
py
|
Python
|
src/pybuiltins/module/__init__.py
|
Xiddoc/ComPy
|
7d26f95209d0615d7eb188fa02470ddae5311fca
|
[
"MIT"
] | null | null | null |
src/pybuiltins/module/__init__.py
|
Xiddoc/ComPy
|
7d26f95209d0615d7eb188fa02470ddae5311fca
|
[
"MIT"
] | 9
|
2022-02-23T10:32:44.000Z
|
2022-03-27T17:55:43.000Z
|
src/scopes/objects/__init__.py
|
Xiddoc/ComPy
|
7d26f95209d0615d7eb188fa02470ddae5311fca
|
[
"MIT"
] | null | null | null |
"""
Python module.
"""
| 7.333333
| 14
| 0.545455
| 2
| 22
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 22
| 3
| 15
| 7.333333
| 0.631579
| 0.636364
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
99a69bb5025daea961fa8702ab7e217f004c607f
| 51
|
py
|
Python
|
tests.py
|
Shetty4L/mnist-pytorch
|
1eee32da0b0c7faf14d1d3daf4099538e704d9c1
|
[
"MIT"
] | null | null | null |
tests.py
|
Shetty4L/mnist-pytorch
|
1eee32da0b0c7faf14d1d3daf4099538e704d9c1
|
[
"MIT"
] | null | null | null |
tests.py
|
Shetty4L/mnist-pytorch
|
1eee32da0b0c7faf14d1d3daf4099538e704d9c1
|
[
"MIT"
] | null | null | null |
if __name__ == '__main__':
assert True == True
| 17
| 26
| 0.627451
| 6
| 51
| 4
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.235294
| 51
| 2
| 27
| 25.5
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0.156863
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
99ab20da9c0a98ef36068850febe5bbf278a8233
| 1,281
|
py
|
Python
|
setup.py
|
Jhengsh/blob-cli
|
23239e8943b4446054300d16e3e5a009f9db6190
|
[
"MIT"
] | null | null | null |
setup.py
|
Jhengsh/blob-cli
|
23239e8943b4446054300d16e3e5a009f9db6190
|
[
"MIT"
] | null | null | null |
setup.py
|
Jhengsh/blob-cli
|
23239e8943b4446054300d16e3e5a009f9db6190
|
[
"MIT"
] | null | null | null |
from setuptools import setup, find_packages
CLASSIFIERS = [
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: System Administrators',
'Natural Language :: English',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
]
setup(
name='blob-cli',
version='0.0.2.dev',
author='Hsueh-Hung Cheng',
author_email='jhengsh.email@gmail.com',
url='https://github.com/Jhengsh/blob-cli',
description='Azure Blob Shell Command',
scripts=[
'blob_cli/bin/blob_list', 'blob_cli/bin/blob_tier',
'blob_cli/bin/blob_delete', 'blob_cli/bin/blob_upload',
'blob_cli/bin/blob_download'
],
long_description=open('README.rst').read().strip(),
classifiers=CLASSIFIERS,
packages=find_packages(),
license='MIT',
platforms='any',
install_requires=["azure-storage-blob"],
)
| 32.846154
| 63
| 0.645589
| 146
| 1,281
| 5.561644
| 0.465753
| 0.23399
| 0.307882
| 0.192118
| 0.066502
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01938
| 0.194379
| 1,281
| 38
| 64
| 33.710526
| 0.767442
| 0
| 0
| 0
| 0
| 0
| 0.600312
| 0.11007
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.027778
| 0
| 0.027778
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
41e049ebbadd42086af0038c7b616c015c831c97
| 23
|
py
|
Python
|
packages/snet_cli/snet/snet_cli/version.py
|
dhruvshettty/snet-cli
|
2fa64b0c122dd2713714d1a37d3f0ef0d7d11b84
|
[
"MIT"
] | null | null | null |
packages/snet_cli/snet/snet_cli/version.py
|
dhruvshettty/snet-cli
|
2fa64b0c122dd2713714d1a37d3f0ef0d7d11b84
|
[
"MIT"
] | null | null | null |
packages/snet_cli/snet/snet_cli/version.py
|
dhruvshettty/snet-cli
|
2fa64b0c122dd2713714d1a37d3f0ef0d7d11b84
|
[
"MIT"
] | null | null | null |
__version__ = "v0.2.3"
| 11.5
| 22
| 0.652174
| 4
| 23
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 0.130435
| 23
| 1
| 23
| 23
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 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
| 0
| 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
| 4
|
514de535fdf325f4e1d44a01fdbaeb3102b2e32e
| 122
|
py
|
Python
|
mmdet/models/classifiers/__init__.py
|
anorthman/mmdetection
|
52e28154364f0e19d11c206bb357d88f29fc4a2d
|
[
"Apache-2.0"
] | 5
|
2019-06-11T11:08:54.000Z
|
2021-03-25T10:06:01.000Z
|
mmdet/models/classifiers/__init__.py
|
anorthman/mmdetection
|
52e28154364f0e19d11c206bb357d88f29fc4a2d
|
[
"Apache-2.0"
] | null | null | null |
mmdet/models/classifiers/__init__.py
|
anorthman/mmdetection
|
52e28154364f0e19d11c206bb357d88f29fc4a2d
|
[
"Apache-2.0"
] | 1
|
2019-06-11T11:08:55.000Z
|
2019-06-11T11:08:55.000Z
|
from .classifier import Classifier
from .loss_heads import MultilabelsHead
__all__ = ['Classifier', 'MultilabelsHead']
| 17.428571
| 43
| 0.795082
| 12
| 122
| 7.666667
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122951
| 122
| 6
| 44
| 20.333333
| 0.859813
| 0
| 0
| 0
| 0
| 0
| 0.204918
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5161890c6150cc2a16eeb874483081ebcd4313c0
| 267
|
py
|
Python
|
util/reporting.py
|
ecradock/wifihawk
|
ab459e9746bb661968118c7d4f785454f2342ff1
|
[
"MIT"
] | 2
|
2018-02-12T19:01:04.000Z
|
2019-01-20T03:07:12.000Z
|
util/reporting.py
|
ecradock/wifi-hawk
|
ab459e9746bb661968118c7d4f785454f2342ff1
|
[
"MIT"
] | null | null | null |
util/reporting.py
|
ecradock/wifi-hawk
|
ab459e9746bb661968118c7d4f785454f2342ff1
|
[
"MIT"
] | null | null | null |
class Reporting(object):
def __init__(self, verbose=False, debug=False):
self.verbose_flag = verbose
self.debug_flag = debug
def error(self, msg):
pass
def debug(self, msg):
pass
def verbose(self, msg):
pass
| 19.071429
| 51
| 0.59176
| 33
| 267
| 4.606061
| 0.393939
| 0.138158
| 0.217105
| 0.184211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.310861
| 267
| 13
| 52
| 20.538462
| 0.826087
| 0
| 0
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.3
| 0
| 0
| 0.5
| 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
| 0
| 0
|
0
| 4
|
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