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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
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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
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qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
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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
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int64
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int64
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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
85e21f0b841438846e315b39e59a21874e32e067
44
py
Python
client/api/main.py
Penlook/service
365f82d2a20075edea16bb4b935f1b9dcefa0228
[ "RSA-MD" ]
1
2015-01-13T18:07:36.000Z
2015-01-13T18:07:36.000Z
client/api/main.py
Penlook/service
365f82d2a20075edea16bb4b935f1b9dcefa0228
[ "RSA-MD" ]
null
null
null
client/api/main.py
Penlook/service
365f82d2a20075edea16bb4b935f1b9dcefa0228
[ "RSA-MD" ]
1
2015-04-27T06:45:35.000Z
2015-04-27T06:45:35.000Z
#! /usr/bin/env python print 'PYTHON CLIENT'
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22
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c08d74721f416fe0588e490feea61c530e89c9da
45
py
Python
ajax_datatable/exceptions.py
ivi3/django-ajax-datatable
8a392e21378f59f36f7d4c47fb3d73a61cf36614
[ "MIT" ]
101
2020-09-24T06:41:17.000Z
2022-03-30T08:26:52.000Z
ajax_datatable/exceptions.py
ivi3/django-ajax-datatable
8a392e21378f59f36f7d4c47fb3d73a61cf36614
[ "MIT" ]
75
2020-09-24T03:46:14.000Z
2022-03-25T16:14:15.000Z
ajax_datatable/exceptions.py
ivi3/django-ajax-datatable
8a392e21378f59f36f7d4c47fb3d73a61cf36614
[ "MIT" ]
39
2020-09-25T22:50:58.000Z
2022-03-06T10:13:10.000Z
class ColumnOrderError(Exception): pass
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c0ad1aae91002238d6496f24a4f18d85b09f108d
84
py
Python
main.py
cgilbert-rep/wiki_extract
369a88439999f3087dda7178f5550cadbcd29754
[ "MIT" ]
null
null
null
main.py
cgilbert-rep/wiki_extract
369a88439999f3087dda7178f5550cadbcd29754
[ "MIT" ]
null
null
null
main.py
cgilbert-rep/wiki_extract
369a88439999f3087dda7178f5550cadbcd29754
[ "MIT" ]
null
null
null
from modules import wiki_extract if __name__ == '__main__': wiki_extract.run()
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c0b721219a90b242bc4a3b357ac67c1032c2b4d5
167
py
Python
aula04questao-1.py
SusanMarques/python-cursoemvideo
f1493f6932f387489fd5b9f37cf4d206df5c402c
[ "MIT" ]
null
null
null
aula04questao-1.py
SusanMarques/python-cursoemvideo
f1493f6932f387489fd5b9f37cf4d206df5c402c
[ "MIT" ]
null
null
null
aula04questao-1.py
SusanMarques/python-cursoemvideo
f1493f6932f387489fd5b9f37cf4d206df5c402c
[ "MIT" ]
null
null
null
# Online Python compiler (interpreter) to run Python online. # Write Python 3 code in this online editor and run it. #Primeiros comandos em python print("Olá, mundo!")
41.75
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c0c92d24330d0dd7a40c94ed8ef09b197899cd26
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py
Python
02-variables_and_data_types/variables_3.py
palmieric/Tecnologie_Web-Introduzione_a_Python
b10ce49a947b239ca2af1938248f7191937b2f89
[ "CC0-1.0" ]
3
2021-05-17T14:48:42.000Z
2021-05-24T10:12:06.000Z
02-variables_and_data_types/variables_3.py
palmieric/Tecnologie_Web-Introduzione_a_Python
b10ce49a947b239ca2af1938248f7191937b2f89
[ "CC0-1.0" ]
null
null
null
02-variables_and_data_types/variables_3.py
palmieric/Tecnologie_Web-Introduzione_a_Python
b10ce49a947b239ca2af1938248f7191937b2f89
[ "CC0-1.0" ]
2
2021-05-17T13:52:15.000Z
2021-05-24T10:44:54.000Z
# variables 3 a = "abc" print("a:", a, type(a)) a = 3 print("a:", a, type(a))
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c0f921f65d06343760bf7d1017755d3a327167fb
38
py
Python
tests/components/econet/__init__.py
tbarbette/core
8e58c3aa7bc8d2c2b09b6bd329daa1c092d52d3c
[ "Apache-2.0" ]
30,023
2016-04-13T10:17:53.000Z
2020-03-02T12:56:31.000Z
tests/components/econet/__init__.py
jagadeeshvenkatesh/core
1bd982668449815fee2105478569f8e4b5670add
[ "Apache-2.0" ]
31,101
2020-03-02T13:00:16.000Z
2022-03-31T23:57:36.000Z
tests/components/econet/__init__.py
jagadeeshvenkatesh/core
1bd982668449815fee2105478569f8e4b5670add
[ "Apache-2.0" ]
11,956
2016-04-13T18:42:31.000Z
2020-03-02T09:32:12.000Z
"""Tests for the Econet component."""
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5
c0fca9d7286541c556e492c7e6e9ef4e222ce1a8
32
py
Python
fairseq/version.py
Praveen76/Wav2Keyword
40c3bdd92c2ed43e421a4756426dbfd6158e8b94
[ "MIT" ]
33
2021-01-06T18:03:55.000Z
2022-03-28T12:07:44.000Z
fairseq/version.py
Praveen76/Wav2Keyword
40c3bdd92c2ed43e421a4756426dbfd6158e8b94
[ "MIT" ]
8
2021-06-11T03:11:37.000Z
2022-03-08T19:15:42.000Z
fairseq/version.py
Praveen76/Wav2Keyword
40c3bdd92c2ed43e421a4756426dbfd6158e8b94
[ "MIT" ]
14
2021-05-17T06:55:01.000Z
2022-03-28T12:07:42.000Z
__version__ = "1.0.0a0+ba4f542"
16
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1
32
32
0.37931
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null
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0
0
0
0
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5
8d0424e8974a51fddbe0680d9394fb36c30b12bc
79
py
Python
main.py
oallaire/assembly-pdf-generator
4f75ee190bb275e813efaaa6a3b514b1f37cfc57
[ "MIT" ]
null
null
null
main.py
oallaire/assembly-pdf-generator
4f75ee190bb275e813efaaa6a3b514b1f37cfc57
[ "MIT" ]
null
null
null
main.py
oallaire/assembly-pdf-generator
4f75ee190bb275e813efaaa6a3b514b1f37cfc57
[ "MIT" ]
1
2021-04-29T08:49:04.000Z
2021-04-29T08:49:04.000Z
from app.app_main import start_app if __name__ == '__main__': start_app()
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35
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5
238f22a11548e72ec930e58fe826c388bbdf5565
30
py
Python
piefuzz/__init__.py
timeyyy/piefuzz
c121ec8abb8a7666f07aeda315aa8d77f8933b1f
[ "MIT" ]
7
2017-07-05T12:40:56.000Z
2020-08-01T17:05:47.000Z
piefuzz/__init__.py
timeyyy/piefuzz
c121ec8abb8a7666f07aeda315aa8d77f8933b1f
[ "MIT" ]
null
null
null
piefuzz/__init__.py
timeyyy/piefuzz
c121ec8abb8a7666f07aeda315aa8d77f8933b1f
[ "MIT" ]
null
null
null
from piefuzz.piefuzz import *
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239626127ca379d10d2c06ed217bf75e11e23b6a
202
py
Python
dsets/__init__.py
kmeng01/rome
5ae38a91f384fbf2c526b2fb36406fb3c43262ac
[ "MIT" ]
38
2022-02-11T01:49:00.000Z
2022-03-27T21:52:33.000Z
dsets/__init__.py
kmeng01/rome
5ae38a91f384fbf2c526b2fb36406fb3c43262ac
[ "MIT" ]
3
2022-02-17T07:11:09.000Z
2022-03-28T19:39:04.000Z
dsets/__init__.py
kmeng01/rome
5ae38a91f384fbf2c526b2fb36406fb3c43262ac
[ "MIT" ]
10
2022-02-11T09:30:09.000Z
2022-03-24T15:23:56.000Z
from .attr_snippets import AttributeSnippets from .counterfact import CounterFactDataset from .knowns import KnownsDataset from .zsre import MENDQADataset from .tfidf_stats import get_tfidf_vectorizer
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6
46
33.666667
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23a261a75bc38e6c0f1b49b1aab129e2ab8d81ce
129
py
Python
flasks3/__init__.py
MurphyMarkW/python-flask-s3
4cd1813e16e1efe8ada9679378c11834cee6d3a9
[ "MIT" ]
1
2019-02-17T20:50:59.000Z
2019-02-17T20:50:59.000Z
flasks3/__init__.py
MurphyMarkW/python-flask-s3
4cd1813e16e1efe8ada9679378c11834cee6d3a9
[ "MIT" ]
null
null
null
flasks3/__init__.py
MurphyMarkW/python-flask-s3
4cd1813e16e1efe8ada9679378c11834cee6d3a9
[ "MIT" ]
null
null
null
"""Flask S3 Blueprints """ __version__ = '2016.1.0' from . import auth from . import drivers from .blueprint import blueprint
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5
23a496e2be8e614ef082772d4b8cb5695e184f2f
64
py
Python
tests/test_base.py
njnur/InTime-Python-SDK
1e60443812a3d3c53687127c49ce57bf14eb24ef
[ "MIT" ]
null
null
null
tests/test_base.py
njnur/InTime-Python-SDK
1e60443812a3d3c53687127c49ce57bf14eb24ef
[ "MIT" ]
null
null
null
tests/test_base.py
njnur/InTime-Python-SDK
1e60443812a3d3c53687127c49ce57bf14eb24ef
[ "MIT" ]
null
null
null
class TestAPIConnector: def test_header(self): pass
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1
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5
23cbb890ef1178480cc73e5103ac6858cde06915
252
py
Python
pystratis/api/federation/responsemodels/__init__.py
TjadenFroyda/pyStratis
9cc7620d7506637f8a2b84003d931eceb36ac5f2
[ "MIT" ]
8
2021-06-30T20:44:22.000Z
2021-12-07T14:42:22.000Z
pystratis/api/federation/responsemodels/__init__.py
TjadenFroyda/pyStratis
9cc7620d7506637f8a2b84003d931eceb36ac5f2
[ "MIT" ]
2
2021-07-01T11:50:18.000Z
2022-01-25T18:39:49.000Z
pystratis/api/federation/responsemodels/__init__.py
TjadenFroyda/pyStratis
9cc7620d7506637f8a2b84003d931eceb36ac5f2
[ "MIT" ]
4
2021-07-01T04:36:42.000Z
2021-09-17T10:54:19.000Z
from .federationmembermodel import FederationMemberModel from .federationmemberdetailedmodel import FederationMemberDetailedModel from .miningstats import MiningStats __all__ = ['FederationMemberModel', 'FederationMemberDetailedModel', 'MiningStats']
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5
7b013da962b8b0b487d28b6b75d3416f02396216
318
py
Python
1041.py
luizgallas/uri_iniciante
fd23f2fe1638b373b94b7b4ddb2d906cec8db87b
[ "Apache-2.0" ]
null
null
null
1041.py
luizgallas/uri_iniciante
fd23f2fe1638b373b94b7b4ddb2d906cec8db87b
[ "Apache-2.0" ]
null
null
null
1041.py
luizgallas/uri_iniciante
fd23f2fe1638b373b94b7b4ddb2d906cec8db87b
[ "Apache-2.0" ]
null
null
null
x,y = map(float, input().split()) if (x == y == 0): print("Origem") elif (y == 0): print("Eixo X") elif (x == 0): print("Eixo Y") elif (x > 0) and (y > 0): print("Q1") elif (x < 0) and (y > 0): print("Q2") elif (x < 0) and (y < 0): print("Q3") elif (x > 0) and (y < 0): print("Q4")
15.9
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5
7b1997fae2b6b4a49b939281492c4b1125237560
239
py
Python
backend/backend/apps/api/helpers/CreateAzureAppService.py
josegob/microsoft-sec-api
299043bed65cf1f49c7a4c8ee728c961066dc763
[ "MIT" ]
null
null
null
backend/backend/apps/api/helpers/CreateAzureAppService.py
josegob/microsoft-sec-api
299043bed65cf1f49c7a4c8ee728c961066dc763
[ "MIT" ]
null
null
null
backend/backend/apps/api/helpers/CreateAzureAppService.py
josegob/microsoft-sec-api
299043bed65cf1f49c7a4c8ee728c961066dc763
[ "MIT" ]
null
null
null
from .AzureSDKRepository import AzureSDKRepository class CreateAzureAppService: def __init__(self, config): self.repository = AzureSDKRepository(config) def execute(self): return self.repository.init_azure_app()
23.9
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0.748954
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239
7.521739
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5
9e5b2118d7152e0ebdbd7ea6980fa626770350a6
70
py
Python
raven/contrib/transports/zeromq/__init__.py
alex/raven
28227282891d7eb7e3600a458d0d8c7164f63dcb
[ "BSD-3-Clause" ]
1
2015-11-08T12:45:40.000Z
2015-11-08T12:45:40.000Z
raven/contrib/transports/zeromq/__init__.py
openlabs/raven
c065a96456c4e99a3726a599630dfe7fee9d29e6
[ "BSD-3-Clause" ]
null
null
null
raven/contrib/transports/zeromq/__init__.py
openlabs/raven
c065a96456c4e99a3726a599630dfe7fee9d29e6
[ "BSD-3-Clause" ]
null
null
null
from raven.contrib.transports.zeromq.raven_zmq import ZmqPubTransport
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6.777778
0.888889
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5
9e5f0c508f8af339f67d156f140c6b3130b9db14
110
py
Python
utils/schedulers.py
timesler/pytorch-project-template
f8867d9b6b5c218b702d6675a16d208afe6f6402
[ "MIT" ]
13
2019-07-06T22:05:23.000Z
2021-11-03T22:13:50.000Z
utils/schedulers.py
timesler/pytorch-project-template
f8867d9b6b5c218b702d6675a16d208afe6f6402
[ "MIT" ]
1
2020-06-25T10:18:31.000Z
2021-01-27T05:28:20.000Z
utils/schedulers.py
timesler/pytorch-project-template
f8867d9b6b5c218b702d6675a16d208afe6f6402
[ "MIT" ]
6
2019-07-06T22:05:50.000Z
2021-04-28T07:25:02.000Z
class DummyScheduler(object): def __init__(self, optimizer): pass def step(self): pass
22
34
0.618182
12
110
5.333333
0.75
0
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0.290909
110
5
35
22
0.820513
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1
0
0
1
0
0
5
9e6c03920ff3a43e93bb9a4b263edc276da0762e
133
py
Python
digsby/src/msn/p12/__init__.py
ifwe/digsby
f5fe00244744aa131e07f09348d10563f3d8fa99
[ "Python-2.0" ]
35
2015-08-15T14:32:38.000Z
2021-12-09T16:21:26.000Z
digsby/src/msn/p12/__init__.py
niterain/digsby
16a62c7df1018a49eaa8151c0f8b881c7e252949
[ "Python-2.0" ]
4
2015-09-12T10:42:57.000Z
2017-02-27T04:05:51.000Z
digsby/src/msn/p12/__init__.py
niterain/digsby
16a62c7df1018a49eaa8151c0f8b881c7e252949
[ "Python-2.0" ]
15
2015-07-10T23:58:07.000Z
2022-01-23T22:16:33.000Z
from MSNP12Switchboard import MSNP12Switchboard as Switchboard from MSNP12Notification import MSNP12Notification as Notification
44.333333
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0.879699
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133
9.75
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0
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0.120301
133
2
67
66.5
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1
0
1
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5
9e94f30ebea5666d3540acaec8051784bc7270f7
144
py
Python
test_tor.py
Guiraud/Formation-Scraping-1
2194a06da9fc727abe160157295f7e984161c0a3
[ "MIT" ]
null
null
null
test_tor.py
Guiraud/Formation-Scraping-1
2194a06da9fc727abe160157295f7e984161c0a3
[ "MIT" ]
1
2021-06-02T00:17:52.000Z
2021-06-02T00:17:52.000Z
test_tor.py
Guiraud/Formation-Scraping-1
2194a06da9fc727abe160157295f7e984161c0a3
[ "MIT" ]
null
null
null
import socks import socket import requests socks.setdefaultproxy( addr="127.0.0.1", port=9050) print(requests.get("http://icanhazip.com").text)
24
51
0.770833
22
144
5.045455
0.772727
0
0
0
0
0
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0.074627
0.069444
144
6
52
24
0.753731
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0
true
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0.6
0.2
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1
0
1
0
0
5
9ea299eb72c3e7699860ccc7ba8fa9244a1edefe
195
py
Python
records_mover/db/__init__.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
36
2020-03-17T11:56:51.000Z
2022-01-19T16:03:32.000Z
records_mover/db/__init__.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
60
2020-03-02T23:13:29.000Z
2021-05-19T15:05:42.000Z
records_mover/db/__init__.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
4
2020-08-11T13:17:37.000Z
2021-11-05T21:11:52.000Z
__all__ = [ 'DBDriver', 'LoadError', 'create_sqlalchemy_url', ] from .driver import DBDriver # noqa from .errors import LoadError # noqa from .connect import create_sqlalchemy_url
19.5
42
0.717949
22
195
6
0.545455
0.242424
0.287879
0
0
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0.194872
195
9
43
21.666667
0.840764
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0.20765
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false
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0
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5
7b435866c10336779ed47fe92ed89b7f16941e59
38
py
Python
Day 9/py_day_mod/another/__init__.py
loveyourpassion/comm
8295a72557d928ccb9a9d37fad73692ea82f3035
[ "MIT" ]
149
2020-03-18T17:46:09.000Z
2022-03-17T09:30:18.000Z
Day 9/py_day_mod/another/__init__.py
loveyourpassion/comm
8295a72557d928ccb9a9d37fad73692ea82f3035
[ "MIT" ]
2
2020-10-15T17:17:13.000Z
2021-04-30T10:34:52.000Z
Day 9/py_day_mod/another/__init__.py
loveyourpassion/comm
8295a72557d928ccb9a9d37fad73692ea82f3035
[ "MIT" ]
90
2020-03-23T19:06:01.000Z
2022-03-10T11:08:04.000Z
#from make_messages import MessageUser
38
38
0.894737
5
38
6.6
1
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1
38
38
0.942857
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null
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true
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5
7bb8a39a552421d40dbcf742e7892c6bf2abbb03
45
py
Python
ABC/210/ex.py
buchi1002/AtCoder
e678a8a1f0edb3eab922ee5f65f6742791c231b3
[ "MIT" ]
null
null
null
ABC/210/ex.py
buchi1002/AtCoder
e678a8a1f0edb3eab922ee5f65f6742791c231b3
[ "MIT" ]
null
null
null
ABC/210/ex.py
buchi1002/AtCoder
e678a8a1f0edb3eab922ee5f65f6742791c231b3
[ "MIT" ]
null
null
null
X = {} print(5 in X) print(X[4]) print(X[5])
9
13
0.533333
11
45
2.181818
0.454545
0.5
0
0
0
0
0
0
0
0
0
0.081081
0.177778
45
4
14
11.25
0.567568
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0
false
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0
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0
5
c87731edba0db9bae8d9603ba9ee7a4f4ffa226c
314
py
Python
web/website/routes/views.py
samiurprapon/Aether
2df254473885248f01cbc9e9f18935d91d9f1f08
[ "Apache-2.0" ]
4
2021-07-09T12:51:18.000Z
2021-09-09T12:35:13.000Z
web/website/routes/views.py
SharifRafid/Aether
153821d96b2a931c58c570602f8b145c6ab5d5a9
[ "Apache-2.0" ]
9
2021-08-03T23:56:27.000Z
2022-03-31T20:42:42.000Z
web/website/routes/views.py
SharifRafid/Aether
153821d96b2a931c58c570602f8b145c6ab5d5a9
[ "Apache-2.0" ]
7
2021-05-29T18:53:41.000Z
2022-03-09T17:51:38.000Z
from flask import Blueprint, render_template views = Blueprint('views', __name__) @views.route('/') def index(): return render_template("index.html") @views.route('/login') def login(): return render_template("login.html") @views.route('/signup') def signup(): return render_template("signup.html")
20.933333
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314
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15
45
20.933333
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0
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1
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5
c892a10e86055867435ceaed5e3fcb20c0df181c
63
py
Python
training/rootnav2/accuracy/__init__.py
robail-yasrab/6-RootNav-2.0
3e973c0f7fc34b3938a2294e858d1a0de76e9f0f
[ "BSD-3-Clause" ]
23
2019-07-25T10:15:20.000Z
2022-01-26T03:28:56.000Z
training/rootnav2/accuracy/__init__.py
rootnav2/RootNav-2.0
3e973c0f7fc34b3938a2294e858d1a0de76e9f0f
[ "BSD-3-Clause" ]
7
2019-08-07T15:56:26.000Z
2022-01-13T01:28:22.000Z
training/rootnav2/accuracy/__init__.py
rootnav2/RootNav-2.0
3e973c0f7fc34b3938a2294e858d1a0de76e9f0f
[ "BSD-3-Clause" ]
11
2019-07-25T10:15:25.000Z
2022-02-15T09:14:49.000Z
from .nms import nonmaximalsuppression, rrtree, evaluate_points
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5
c8bc6751add1f1e982e473954b0984df969543d4
241
py
Python
alsek/__init__.py
TariqAHassan/alsek
a0d0f44d2eea1538c9d04530ae917695f624d269
[ "MIT" ]
1
2021-08-16T02:38:40.000Z
2021-08-16T02:38:40.000Z
alsek/__init__.py
TariqAHassan/alsek
a0d0f44d2eea1538c9d04530ae917695f624d269
[ "MIT" ]
null
null
null
alsek/__init__.py
TariqAHassan/alsek
a0d0f44d2eea1538c9d04530ae917695f624d269
[ "MIT" ]
null
null
null
""" Alsek """ from alsek.core.broker import Broker from alsek.core.concurrency import Lock from alsek.core.message import Message from alsek.core.status import StatusTracker from alsek.core.task import task __version__: str = "0.1.0"
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c8db69d4a6a37f42a65c3d7e90c36633c8638762
227
py
Python
agencies/admin.py
401ode/fac
465b9a79e3897dd53379d71c4d89399d7dfde19d
[ "Apache-1.1" ]
null
null
null
agencies/admin.py
401ode/fac
465b9a79e3897dd53379d71c4d89399d7dfde19d
[ "Apache-1.1" ]
null
null
null
agencies/admin.py
401ode/fac
465b9a79e3897dd53379d71c4d89399d7dfde19d
[ "Apache-1.1" ]
null
null
null
from django.contrib import admin # Register your models here. from .models import FederalAgency, StateAgency, SubRecipient admin.site.register(FederalAgency) admin.site.register(StateAgency) admin.site.register(SubRecipient)
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227
8
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5
cdbbec038d72c26d399a041f19c9521f1f4d4726
29
py
Python
pyresolver/_exception_helper.py
zaryanezrya/pyresolver
e6d92f524497c8ec944ac2ae929affde384b386a
[ "MIT" ]
3
2021-09-11T06:16:53.000Z
2021-12-11T21:43:15.000Z
pyresolver/_exception_helper.py
zaryanezrya/pyresolver
e6d92f524497c8ec944ac2ae929affde384b386a
[ "MIT" ]
null
null
null
pyresolver/_exception_helper.py
zaryanezrya/pyresolver
e6d92f524497c8ec944ac2ae929affde384b386a
[ "MIT" ]
null
null
null
def raise_(ex): raise ex
9.666667
15
0.62069
5
29
3.4
0.6
0.823529
0
0
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29
2
16
14.5
0.809524
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1
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0
0
0
0
5
cde94c340555de2ca424d0a7f0b86fc0c0ae58df
2,539
py
Python
RealGmPlayerInfo.py
sderenth/Draft-Model
333f29883cc9a5b0a7fedb365fed5e04b8144e09
[ "MIT" ]
1
2019-08-29T15:20:35.000Z
2019-08-29T15:20:35.000Z
RealGmPlayerInfo.py
sderenth/Draft-Model
333f29883cc9a5b0a7fedb365fed5e04b8144e09
[ "MIT" ]
null
null
null
RealGmPlayerInfo.py
sderenth/Draft-Model
333f29883cc9a5b0a7fedb365fed5e04b8144e09
[ "MIT" ]
null
null
null
import scrapy from bs4 import BeautifulSoup class preNBAdata(scrapy.Spider): name = "playerInfo" start_urls = ['https://basketball.realgm.com/ncaa/players/2018/A', 'https://basketball.realgm.com/ncaa/players/2018/B', 'https://basketball.realgm.com/ncaa/players/2018/C', 'https://basketball.realgm.com/ncaa/players/2018/D', 'https://basketball.realgm.com/ncaa/players/2018/E', 'https://basketball.realgm.com/ncaa/players/2018/F', 'https://basketball.realgm.com/ncaa/players/2018/G', 'https://basketball.realgm.com/ncaa/players/2018/H', 'https://basketball.realgm.com/ncaa/players/2018/I', 'https://basketball.realgm.com/ncaa/players/2018/J', 'https://basketball.realgm.com/ncaa/players/2018/K', 'https://basketball.realgm.com/ncaa/players/2018/L', 'https://basketball.realgm.com/ncaa/players/2018/M', 'https://basketball.realgm.com/ncaa/players/2018/N', 'https://basketball.realgm.com/ncaa/players/2018/O', 'https://basketball.realgm.com/ncaa/players/2018/P', 'https://basketball.realgm.com/ncaa/players/2018/Q', 'https://basketball.realgm.com/ncaa/players/2018/R', 'https://basketball.realgm.com/ncaa/players/2018/S', 'https://basketball.realgm.com/ncaa/players/2018/T', 'https://basketball.realgm.com/ncaa/players/2018/U', 'https://basketball.realgm.com/ncaa/players/2018/V', 'https://basketball.realgm.com/ncaa/players/2018/W', 'https://basketball.realgm.com/ncaa/players/2018/X', 'https://basketball.realgm.com/ncaa/players/2018/Y', 'https://basketball.realgm.com/ncaa/players/2018/Z'] def parse(self, response): soup = BeautifulSoup(response.text, 'html.parser') tab_rows = soup.find_all('tr')[1:] for row in tab_rows: tds = row.find_all('td') yield { 'player_name': tds[0].getText(), 'href': tds[0].a['href'], 'pos': tds[1].getText(), 'height': tds[2].getText(), 'weight': tds[3].getText(), 'team': tds[4].getText(), 'birthday_code': tds[6]['rel'] }
52.895833
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5
a81a5a5ae81995a1e3770c1a2f82af6316280cb7
81
py
Python
pandas_ta/utils/data/__init__.py
ryanrussell/pandas-ta
720bbcf0196d363d621beeced8fba711990d075d
[ "MIT" ]
2,298
2019-02-20T18:38:18.000Z
2022-03-31T07:45:50.000Z
pandas_ta/utils/data/__init__.py
ryanrussell/pandas-ta
720bbcf0196d363d621beeced8fba711990d075d
[ "MIT" ]
451
2019-02-26T00:50:02.000Z
2022-03-31T03:17:39.000Z
pandas_ta/utils/data/__init__.py
ryanrussell/pandas-ta
720bbcf0196d363d621beeced8fba711990d075d
[ "MIT" ]
579
2019-03-19T01:53:03.000Z
2022-03-31T11:13:50.000Z
# -*- coding: utf-8 -*- from .alphavantage import av from .yahoofinance import yf
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5.272727
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0.148148
81
3
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1
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5
a82a0e8a432884cd1ccba8b19153ecfbbe32a2ac
2,815
py
Python
tests/unit/protocol/stacks.py
ethanjli/phyllo-python
1fc17737951df9c23a9fae72212e3004a78c4da2
[ "MIT" ]
null
null
null
tests/unit/protocol/stacks.py
ethanjli/phyllo-python
1fc17737951df9c23a9fae72212e3004a78c4da2
[ "MIT" ]
null
null
null
tests/unit/protocol/stacks.py
ethanjli/phyllo-python
1fc17737951df9c23a9fae72212e3004a78c4da2
[ "MIT" ]
null
null
null
"""Test the protocol.stacks module.""" # Builtins # Packages from phylline.links.loopback import TopLoopbackLink from phylline.pipelines import PipelineBottomCoupler from phyllo.protocol.application.stacks import make_minimal, make_pubsub from phyllo.protocol.communication import AutomaticStack from phyllo.protocol.stacks import make_stack from phyllo.protocol.transport.stacks import ( make_logical_minimal, make_logical_reduced ) from phyllo.protocol.transport.stacks import make_stack as make_transport import pytest from tests.unit.protocol.transport.stacks import assert_loopback_below @pytest.mark.parametrize('logical_substack_factory', [ make_logical_minimal, make_logical_reduced ]) def test_minimal_loopback_coupler(logical_substack_factory): """Test for correct echo from send to receive.""" print('Testing document loopback with PipelineBottomCoupler...') stack_one = make_stack( transport_stack=make_transport(logical_substack=logical_substack_factory()), application_stack=make_minimal(), name=' Protocol' ) stack_two = AutomaticStack( make_stack( transport_stack=make_transport(logical_substack=logical_substack_factory()), application_stack=make_minimal() ), TopLoopbackLink() ) coupler = PipelineBottomCoupler(stack_one, stack_two) print(coupler) assert_loopback_below(coupler.pipeline_one, (1, 2, 3)) assert_loopback_below(coupler.pipeline_one, {'hello': 'world', 'foo': 'bar'}) assert_loopback_below( coupler.pipeline_one, (0, 1, 2, True, None, (3, 4), {'foo': 'bar'}) ) assert_loopback_below(coupler.pipeline_one, 12345) @pytest.mark.parametrize('logical_substack_factory', [ make_logical_minimal, make_logical_reduced ]) def test_pubsub_loopback_coupler(logical_substack_factory): """Test for correct echo from send to receive.""" print('Testing pub-sub loopback with PipelineBottomCoupler...') stack_one = make_stack( transport_stack=make_transport(logical_substack=logical_substack_factory()), application_stack=make_pubsub(), name=' Protocol' ) stack_two = AutomaticStack( make_stack( transport_stack=make_transport(logical_substack=logical_substack_factory()), application_stack=make_pubsub() ), TopLoopbackLink() ) coupler = PipelineBottomCoupler(stack_one, stack_two) print(coupler) assert_loopback_below(coupler.pipeline_one, (b'list', (1, 2, 3))) assert_loopback_below(coupler.pipeline_one, (b'dict', {'hello': 'world', 'foo': 'bar'})) assert_loopback_below( coupler.pipeline_one, (b'nested', (0, 1, 2, True, None, (3, 4), {'foo': 'bar'})) ) assert_loopback_below(coupler.pipeline_one, (b'number', 12345))
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0
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5
b5725468460be57379c07a89c907ca3ab137f256
177
py
Python
simclr/modules/__init__.py
jesse1029/CCAT-CT-Detection
ff1cd1ac3037990728353db13e9df6520df8b505
[ "MIT" ]
null
null
null
simclr/modules/__init__.py
jesse1029/CCAT-CT-Detection
ff1cd1ac3037990728353db13e9df6520df8b505
[ "MIT" ]
null
null
null
simclr/modules/__init__.py
jesse1029/CCAT-CT-Detection
ff1cd1ac3037990728353db13e9df6520df8b505
[ "MIT" ]
null
null
null
from .nt_xent import NT_Xent from .logistic_regression import LogisticRegression from .lars import LARS from .gather import GatherLayer from .STViT import * from .gmlp import *
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b5a65ddd8a1a1835fffa881015ad64e5238d0aa2
39
py
Python
tests/desugar/funcall/input/test02.py
Nakrez/RePy
057db55a99eac2c5cb3d622fa1f2e29f6083d8d6
[ "MIT" ]
1
2020-11-24T05:24:26.000Z
2020-11-24T05:24:26.000Z
tests/desugar/funcall/input/test02.py
Nakrez/RePy
057db55a99eac2c5cb3d622fa1f2e29f6083d8d6
[ "MIT" ]
null
null
null
tests/desugar/funcall/input/test02.py
Nakrez/RePy
057db55a99eac2c5cb3d622fa1f2e29f6083d8d6
[ "MIT" ]
null
null
null
def fun(a, b): return 1 fun(1, 2)
7.8
14
0.512821
9
39
2.222222
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4
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1
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0
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5
b5accffc6b94477eb53d118dbd662ae3edc6e5f3
98
py
Python
konst/string.py
yehonatanz/konst
4fa5539960a0219817c47e254be8fbc20620d2f8
[ "MIT" ]
null
null
null
konst/string.py
yehonatanz/konst
4fa5539960a0219817c47e254be8fbc20620d2f8
[ "MIT" ]
null
null
null
konst/string.py
yehonatanz/konst
4fa5539960a0219817c47e254be8fbc20620d2f8
[ "MIT" ]
null
null
null
from ._common import _verify_attr def __getattr__(attr): _verify_attr(attr) return attr
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5
a9101421ad5aba1578dc1d113949ab9932132a5f
47,855
py
Python
parsetab.py
alianmohammad/pd-gem5-latest
cfcf6aa004c168d6abdfedcd595de4b30f5e88ee
[ "BSD-3-Clause" ]
null
null
null
parsetab.py
alianmohammad/pd-gem5-latest
cfcf6aa004c168d6abdfedcd595de4b30f5e88ee
[ "BSD-3-Clause" ]
null
null
null
parsetab.py
alianmohammad/pd-gem5-latest
cfcf6aa004c168d6abdfedcd595de4b30f5e88ee
[ "BSD-3-Clause" ]
null
null
null
# parsetab.py # This file is automatically generated. Do not edit. _tabversion = '3.2' _lr_method = 'LALR' _lr_signature = 'D\xccZ\x0b=\xf2\xd6\x89\x1e\xeb\xa3n\xa2z\xd6n' _lr_action_items = 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_lr_action = { } for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = { } _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'decl':([0,1,281,315,],[1,1,1,1,]),'obj_decl':([0,1,167,172,224,225,230,235,281,315,],[2,2,225,233,225,225,233,233,2,2,]),'statements':([122,187,221,342,350,366,369,371,379,],[178,257,272,356,361,372,375,378,381,]),'type_enums':([223,277,],[276,314,]),'pairsx':([51,124,],[76,183,]),'type_members':([172,230,235,],[234,283,290,]),'ident_or_star':([174,],[242,]),'statements_inner':([179,250,],[246,300,]),'enumeration':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,245,250,265,267,268,270,302,304,318,334,367,],[93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,341,93,93,]),'file':([0,],[6,]),'type_state':([231,286,],[286,286,]),'type_member':([172,230,235,],[235,235,235,]),'aexpr':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,245,250,265,267,268,270,302,304,334,367,],[87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,]),'param':([53,57,125,],[78,78,78,]),'literal':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,245,250,265,267,268,270,302,304,334,367,],[97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,]),'params':([53,57,125,],[79,106,184,]),'statement':([179,250,],[250,250,]),'var':([54,88,89,91,98,103,105,131,133,139,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,177,179,232,245,250,265,267,268,270,294,298,299,301,302,304,305,334,349,367,],[94,94,94,94,94,94,94,195,94,202,94,94,94,94,94,94,94,94,94,94,94,94,94,94,94,243,94,288,94,94,94,94,94,94,324,327,328,329,94,94,332,94,360,94,]),'if_statement':([179,250,369,],[251,251,376,]),'type':([0,1,28,36,38,41,42,53,54,57,71,86,88,89,91,98,103,105,114,125,129,133,137,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,179,224,225,230,235,245,250,265,267,268,270,281,302,304,315,334,345,348,367,],[11,11,44,58,60,63,64,81,95,81,121,132,95,95,95,95,95,95,171,185,191,95,200,95,95,95,95,95,95,95,95,95,95,95,95,95,95,95,227,11,95,227,227,11,11,95,95,95,95,95,95,11,95,95,11,95,357,359,95,]),'empty':([0,1,32,44,47,49,53,55,57,58,59,60,63,64,68,117,119,125,126,129,130,133,143,163,164,167,172,223,224,225,230,231,235,243,265,267,270,275,277,281,282,286,288,315,341,357,],[12,12,52,52,70,52,80,52,80,52,52,52,52,52,70,70,70,186,52,192,52,196,196,52,52,228,236,278,228,228,236,287,236,52,196,196,196,52,278,12,52,287,52,12,52,52,]),'declsx':([0,1,281,315,],[13,27,13,13,]),'func_decl':([0,1,172,230,235,281,315,],[7,7,237,237,237,7,7,]),'func_def':([0,1,172,230,235,281,315,],[15,15,238,238,238,15,15,]),'idents':([29,37,67,173,239,292,322,],[46,59,116,239,291,322,343,]),'void':([0,1,172,230,235,281,315,],[16,16,16,16,16,16,16,]),'identx':([47,68,117,119,],[69,118,175,176,]),'type_states':([231,286,],[285,320,]),'pair':([51,124,],[77,77,]),'type_enum':([223,277,],[277,277,]),'typestr':([0,1,28,36,38,41,42,53,54,57,71,86,88,89,91,98,103,105,114,125,129,133,137,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,179,224,225,230,235,245,250,265,267,268,270,281,302,304,315,334,345,348,367,],[20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,]),'types':([53,57,129,],[82,107,190,]),'pairs':([32,44,49,55,58,59,60,63,64,126,130,163,164,243,275,282,288,341,357,],[50,66,72,104,108,109,111,112,113,187,193,221,222,293,312,50,321,355,365,]),'ident':([0,1,11,16,28,29,30,31,33,36,37,38,39,41,42,43,47,51,53,54,57,67,68,71,81,86,88,89,91,95,98,103,105,114,117,119,123,124,125,128,129,131,133,134,137,139,141,143,144,145,146,147,148,150,151,152,153,154,155,156,157,158,159,167,172,173,174,177,179,185,223,224,225,227,230,231,232,235,239,245,250,265,267,268,270,277,281,286,292,294,298,299,301,302,304,305,315,318,322,334,345,348,349,367,],[22,22,32,35,22,45,48,49,55,22,45,22,61,22,22,65,68,74,22,100,22,45,68,22,127,22,100,100,100,140,100,100,100,22,68,68,180,74,22,189,22,194,100,199,22,194,203,100,205,100,100,100,100,100,100,100,100,100,100,100,100,100,100,22,22,45,240,194,100,127,275,22,22,282,22,284,194,22,45,100,100,100,100,100,100,275,22,284,45,194,194,194,194,100,100,194,22,340,45,100,22,22,194,100,]),'obj_decls':([167,224,225,],[226,279,280,]),'expr':([54,88,89,91,98,103,105,133,143,145,146,147,148,150,151,152,153,154,155,156,157,158,159,179,245,250,265,267,268,270,302,304,334,367,],[101,135,136,138,142,160,162,197,197,206,207,208,209,210,211,212,213,214,215,216,217,218,219,254,295,254,197,197,310,197,330,331,353,373,]),'exprs':([133,143,265,267,270,],[198,204,307,308,311,]),'decls':([0,281,315,],[25,316,338,]),} _lr_goto = { } for _k, _v in _lr_goto_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_goto: _lr_goto[_x] = { } _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> file","S'",1,None,None,None), ('file -> decls','file',1,'p_file','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',219), ('empty -> <empty>','empty',0,'p_empty','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',223), ('decls -> declsx','decls',1,'p_decls','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',226), ('declsx -> decl declsx','declsx',2,'p_declsx__list','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',230), ('declsx -> empty','declsx',1,'p_declsx__none','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',240), ('decl -> PROTOCOL STRING SEMI','decl',3,'p_decl__protocol','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',244), ('decl -> INCLUDE STRING SEMI','decl',3,'p_decl__include','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',253), ('decl -> MACHINE ( idents ) : obj_decls { decls }','decl',9,'p_decl__machine0','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',262), ('decl -> MACHINE ( idents pairs ) : obj_decls { decls }','decl',10,'p_decl__machine1','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',266), ('decl -> ACTION ( ident pairs ) statements','decl',6,'p_decl__action','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',270), ('decl -> IN_PORT ( ident , type , var pairs ) statements','decl',10,'p_decl__in_port','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',274), ('decl -> OUT_PORT ( ident , type , var pairs ) SEMI','decl',10,'p_decl__out_port','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',278), ('decl -> TRANS ( idents , idents , ident_or_star ) idents','decl',9,'p_decl__trans0','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',282), ('decl -> TRANS ( idents , idents ) 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pairsx','pairsx',3,'p_pairsx__many','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',525), ('pairsx -> pair','pairsx',1,'p_pairsx__one','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',530), ('pair -> ident = STRING','pair',3,'p_pair__assign','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',535), ('pair -> ident = ident','pair',3,'p_pair__assign','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',536), ('pair -> ident = NUMBER','pair',3,'p_pair__assign','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',537), ('pair -> STRING','pair',1,'p_pair__literal','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',541), ('statements -> { statements_inner }','statements',3,'p_statements__inner','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',546), ('statements -> { }','statements',2,'p_statements__none','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',550), ('statements_inner -> statement 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ident','aexpr',3,'p_expr__member','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',667), ('aexpr -> aexpr DOT ident ( exprs )','aexpr',6,'p_expr__member_method_call','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',671), ('aexpr -> aexpr [ exprs ]','aexpr',4,'p_expr__member_method_call_lookup','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',675), ('aexpr -> type DOUBLE_COLON ident ( exprs )','aexpr',6,'p_expr__class_method_call','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',679), ('expr -> aexpr','expr',1,'p_expr__aexpr','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',683), ('expr -> expr STAR expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',687), ('expr -> expr SLASH expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',688), ('expr -> expr PLUS expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',689), ('expr -> expr DASH expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',690), ('expr -> expr LT expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',691), ('expr -> expr GT expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',692), ('expr -> expr LE expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',693), ('expr -> expr GE expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',694), ('expr -> expr EQ expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',695), ('expr -> expr NE expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',696), ('expr -> expr AND expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',697), ('expr -> expr OR expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',698), ('expr -> expr RIGHTSHIFT expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',699), ('expr -> expr LEFTSHIFT expr','expr',3,'p_expr__binary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',700), ('expr -> NOT expr','expr',2,'p_expr__unary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',705), ('expr -> INCR expr','expr',2,'p_expr__unary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',706), ('expr -> DECR expr','expr',2,'p_expr__unary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',707), ('expr -> DASH expr','expr',2,'p_expr__unary_op','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',708), ('aexpr -> ( expr )','aexpr',3,'p_expr__parens','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',712), ('aexpr -> IS_VALID ( var )','aexpr',4,'p_expr__is_valid_ptr','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',716), ('aexpr -> IS_INVALID ( var )','aexpr',4,'p_expr__is_invalid_ptr','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',720), ('literal -> STRING','literal',1,'p_literal__string','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',724), ('literal -> NUMBER','literal',1,'p_literal__number','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',728), ('literal -> FLOATNUMBER','literal',1,'p_literal__float','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',732), ('literal -> LIT_BOOL','literal',1,'p_literal__bool','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',736), ('enumeration -> ident : ident','enumeration',3,'p_enumeration','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',740), ('var -> ident','var',1,'p_var','/users/alian/simulators/pdgem5/src/mem/slicc/parser.py',744), ]
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a922bc9f5545d88cdf78f5c02e79eda250c3f954
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py
Python
__init__.py
OctopusRice/LineNet
a03ce3bf741dc497ae6bc680cd779128bda1a34b
[ "BSD-3-Clause" ]
1
2020-12-03T03:07:15.000Z
2020-12-03T03:07:15.000Z
__init__.py
OctopusRice/LineNet
a03ce3bf741dc497ae6bc680cd779128bda1a34b
[ "BSD-3-Clause" ]
1
2019-08-23T09:27:33.000Z
2019-08-29T01:46:12.000Z
__init__.py
OctopusRice/LineNet
a03ce3bf741dc497ae6bc680cd779128bda1a34b
[ "BSD-3-Clause" ]
null
null
null
from .core.detectors import CornerNet, LineNet, CornerNet_Squeeze, CornerNet_Saccade, CornerNet_ifp_Saccade from .core.vis_utils import draw_bboxes
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a9501e96c71c0c09ec21e0013e9daf2680f028c8
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py
Python
test/test_darts.py
jiang7369/darts-clone-python
24a38402a6e0d9afb89be1ec3f979c6d4179d324
[ "Apache-2.0" ]
15
2019-07-24T01:27:43.000Z
2022-03-18T06:39:32.000Z
test/test_darts.py
jiang7369/darts-clone-python
24a38402a6e0d9afb89be1ec3f979c6d4179d324
[ "Apache-2.0" ]
9
2019-09-01T12:40:11.000Z
2020-03-24T17:07:37.000Z
test/test_darts.py
jiang7369/darts-clone-python
24a38402a6e0d9afb89be1ec3f979c6d4179d324
[ "Apache-2.0" ]
6
2019-07-24T01:27:53.000Z
2021-04-10T10:28:20.000Z
import tempfile import unittest import pickle from dartsclone import DoubleArray class DoubleArrayTest(unittest.TestCase): """test class of double array """ def test_darts_no_values(self): keys = ['test', 'テスト', 'テストケース'] darts = DoubleArray() darts.build(sorted([key.encode() for key in keys])) self.assertEqual(1, darts.exact_match_search('テスト'.encode(), pair_type=False)) self.assertEqual(0, darts.common_prefix_search('testcase'.encode(), pair_type=False)[0]) self.assertEqual(0, darts.exact_match_search('test'.encode(), pair_type=False)) self.assertEqual(2, darts.common_prefix_search('テストケース'.encode(), pair_type=False)[1]) def test_darts_with_values(self): keys = ['test', 'テスト', 'テストケース'] darts = DoubleArray() darts.build(sorted([key.encode() for key in keys]), values=[3, 5, 1]) self.assertEqual(5, darts.exact_match_search('テスト'.encode(), pair_type=False)) self.assertEqual(3, darts.common_prefix_search('testcase'.encode(), pair_type=False)[0]) self.assertEqual(1, darts.exact_match_search('テストケース'.encode(), pair_type=False)) self.assertEqual(1, darts.common_prefix_search('テストケース'.encode(), pair_type=False)[1]) def test_darts_save(self): keys = ['test', 'テスト', 'テストケース'] darts = DoubleArray() darts.build(sorted([key.encode() for key in keys]), values=[3, 5, 1]) with tempfile.NamedTemporaryFile('wb') as output_file: darts.save(output_file.name) output_file.flush() darts.clear() darts.open(output_file.name) self.assertEqual(5, darts.exact_match_search('テスト'.encode(), pair_type=False)) self.assertEqual(3, darts.common_prefix_search('testcase'.encode(), pair_type=False)[0]) def test_darts_pickle(self): keys = ['test', 'テスト', 'テストケース'] darts = DoubleArray() darts.build(sorted([key.encode() for key in keys]), values=[3, 5, 1]) with tempfile.NamedTemporaryFile('wb') as output_file: pickle.dump(darts, output_file) output_file.flush() with open(output_file.name, 'rb') as input_file: darts = pickle.load(input_file) self.assertEqual(5, darts.exact_match_search('テスト'.encode(), pair_type=False)) self.assertEqual(3, darts.common_prefix_search('testcase'.encode(), pair_type=False)[0]) def test_darts_array(self): keys = ['test', 'テスト', 'テストケース'] darts = DoubleArray() darts.build(sorted([key.encode() for key in keys]), values=[3, 5, 1]) array = darts.array() darts = DoubleArray() darts.set_array(array) self.assertEqual(5, darts.exact_match_search('テスト'.encode(), pair_type=False)) self.assertEqual(3, darts.common_prefix_search('testcase'.encode(), pair_type=False)[0]) if __name__ == "__main__": unittest.main()
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5
a967e9224f80415197121aa0341c3a1f26322553
390
py
Python
tests/dummy_class.py
vertliba/unittest-mocker
c3422d417776d589b844403f6489cc3ac3971afc
[ "MIT" ]
3
2021-11-05T20:53:43.000Z
2022-02-08T23:26:22.000Z
tests/dummy_class.py
vertliba/unittest-mocker
c3422d417776d589b844403f6489cc3ac3971afc
[ "MIT" ]
null
null
null
tests/dummy_class.py
vertliba/unittest-mocker
c3422d417776d589b844403f6489cc3ac3971afc
[ "MIT" ]
null
null
null
class DummyClass: dummy_var = 'original' def __init__(self, init_param=0): pass def __call__(self, call_param=0): return 'not_mocked_call' def some_method(self): # def some_method(self, some_method_param): return 'not_mocked_some_method' def some_other_method(self, some_other_method_param): return 'not_mocked_some_other_method'
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1
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1
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5
8d3220f525a67763177964d499576c26117406c4
196
py
Python
ex015/ex015.py
joaoguilhermemendes/python
ed97a5e262b709df013eb9363f150f1b33e67bdf
[ "MIT" ]
null
null
null
ex015/ex015.py
joaoguilhermemendes/python
ed97a5e262b709df013eb9363f150f1b33e67bdf
[ "MIT" ]
null
null
null
ex015/ex015.py
joaoguilhermemendes/python
ed97a5e262b709df013eb9363f150f1b33e67bdf
[ "MIT" ]
null
null
null
print('-=-=- Aluguel de carros -=-=-') dias = int(input('Quantos dias usou o veículo? ')) kms = int(input('Quantos Kms rodou? ')) print(f'O valor a ser pago é de --> R${(60*dias) + (0.15*kms)}')
32.666667
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0.596939
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8daa20e2c5e08e43490f8435d427e2cf9189d659
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py
Python
src/probnum/utils/linalg/__init__.py
christopheroates/probnum
4ae63da307bd7279c3ce477ef68cbd0b8e30c73a
[ "MIT" ]
226
2019-11-01T09:44:09.000Z
2022-03-30T23:17:17.000Z
src/probnum/utils/linalg/__init__.py
christopheroates/probnum
4ae63da307bd7279c3ce477ef68cbd0b8e30c73a
[ "MIT" ]
590
2019-11-21T08:32:30.000Z
2022-03-31T12:37:37.000Z
src/probnum/utils/linalg/__init__.py
christopheroates/probnum
4ae63da307bd7279c3ce477ef68cbd0b8e30c73a
[ "MIT" ]
39
2020-01-13T16:29:45.000Z
2022-03-28T16:16:54.000Z
"""Utility functions that involve numerical linear algebra.""" from ._cholesky_updates import cholesky_update, tril_to_positive_tril __all__ = ["cholesky_update", "tril_to_positive_tril"]
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a5caf74429f515359f097d83d512e095dc3589dd
23
py
Python
examples/badhello.py
mcandre/stank
6992b8a0281cee8b24affa91e83daa7d79ea82f4
[ "BSD-2-Clause-FreeBSD" ]
49
2017-08-10T12:53:33.000Z
2022-03-04T23:52:48.000Z
examples/badhello.py
mcandre/stank
6992b8a0281cee8b24affa91e83daa7d79ea82f4
[ "BSD-2-Clause-FreeBSD" ]
108
2017-08-10T18:55:48.000Z
2021-09-23T01:32:06.000Z
examples/badhello.py
mcandre/stank
6992b8a0281cee8b24affa91e83daa7d79ea82f4
[ "BSD-2-Clause-FreeBSD" ]
null
null
null
#!python print "Hello"
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5704992043b998b6a1aeb84393c6357afa1506f0
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py
Python
tests/conftest.py
tristaaan/rigor
0eddcb1ee8e0779fce8db4f70de27478d39d5187
[ "MIT" ]
74
2018-02-08T14:39:52.000Z
2021-12-14T18:25:07.000Z
tests/conftest.py
tristaaan/rigor
0eddcb1ee8e0779fce8db4f70de27478d39d5187
[ "MIT" ]
12
2018-02-21T12:29:59.000Z
2021-09-08T15:26:56.000Z
tests/conftest.py
tristaaan/rigor
0eddcb1ee8e0779fce8db4f70de27478d39d5187
[ "MIT" ]
6
2018-02-25T02:51:31.000Z
2021-09-08T13:48:33.000Z
import rigor def pytest_runtest_setup(item): rigor.setup_logging(quiet=False, json=False)
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5735403161b6218645c318d034466d82ed37d55e
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py
Python
pUtils/__init__.py
psudowe/parse27k_tools
8ae411905fbae494cc0892029924420c9cd26d5d
[ "MIT" ]
12
2015-12-13T02:45:55.000Z
2019-11-07T02:44:53.000Z
pUtils/__init__.py
psudowe/parse27k_tools
8ae411905fbae494cc0892029924420c9cd26d5d
[ "MIT" ]
3
2016-03-31T03:13:52.000Z
2017-05-30T11:45:20.000Z
pUtils/__init__.py
psudowe/parse27k_tools
8ae411905fbae494cc0892029924420c9cd26d5d
[ "MIT" ]
7
2016-08-26T05:21:48.000Z
2020-07-22T20:00:16.000Z
#vim: set et ts=4 sw=4 # make the 'public' classes visible directly from dump_args import dump_args from fs import recreate_dir import git
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938636a3a1428a8d5eae15c5e0f63856339accec
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py
Python
vsgia_model/config/__init__.py
nkuhzx/VSG-IA
075b58c2bf89562cc197e721f050396589861c6a
[ "Apache-2.0" ]
null
null
null
vsgia_model/config/__init__.py
nkuhzx/VSG-IA
075b58c2bf89562cc197e721f050396589861c6a
[ "Apache-2.0" ]
null
null
null
vsgia_model/config/__init__.py
nkuhzx/VSG-IA
075b58c2bf89562cc197e721f050396589861c6a
[ "Apache-2.0" ]
null
null
null
import os from .default import _C as cfg
10.5
30
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42
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5
93ab5ece20433b546f06fdd589136583dd46047e
5,950
py
Python
src/test/resources/scripts/Message.py
tomjbarry/Penstro
d9179852158bebf48aaba7a198de5246acb1b064
[ "MIT" ]
1
2019-02-25T05:55:34.000Z
2019-02-25T05:55:34.000Z
src/test/resources/scripts/Message.py
tomjbarry/penstro
d9179852158bebf48aaba7a198de5246acb1b064
[ "MIT" ]
null
null
null
src/test/resources/scripts/Message.py
tomjbarry/penstro
d9179852158bebf48aaba7a198de5246acb1b064
[ "MIT" ]
null
null
null
from PyConstants import Paths from PyConstants import Codes from PyBaseTest import BaseTest from PyRequest import PyRequest class Message(BaseTest): def runTests(self): print("Running message tests") self.inbox = 0 self.outbox = 0 self.conversations = 0 self.testConversations() self.testConversationMessages() self.testSend() self.testConversations() self.testConversationMessages() self.testFlagConversation() self.testConversationMessages() self.testConversations() def testConversations(self): if self.inbox > 1 or self.outbox > 1: self.conversations = 1 expectedEmpty = self.unauthed.getPageResponse({"totalElements": 0}) if self.conversations == 0: self.authed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.GET, None, self.expectedNotFound, self.target) expectedConversations = self.unauthed.getPageResponse({"totalElements": self.conversations}) self.unauthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, self.expectedDenied) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) self.targetAuthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) self.unauthed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.DELETE, None, self.expectedDenied, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.DELETE, None, self.expectedSuccess, self.target) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedEmpty) self.targetAuthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.DELETE, None, self.expectedSuccess, self.username) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedEmpty) self.targetAuthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedEmpty) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.POST, None, self.expectedSuccess, self.target) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) self.targetAuthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedEmpty) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.POST, None, self.expectedSuccess, self.username) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) self.targetAuthed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) if self.conversations > 0: self.authed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.GET, None, self.unauthed.getDTOResponse({}), self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.DELETE, None, self.expectedSuccess, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.GET, None, self.expectedNotAllowed, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_SHOW, PyRequest.POST, None, self.expectedSuccess, self.target) self.authed.expectResponse(Paths.MESSAGES, PyRequest.GET, None, expectedConversations) def testConversationMessages(self): page = {'totalElements':self.inbox + self.outbox} expected = self.unauthed.getPageResponse(page) self.unauthed.expectResponse(Paths.MESSAGES_CONVERSATION_MESSAGES, PyRequest.GET, None, self.expectedDenied, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_MESSAGES, PyRequest.GET, None, expected, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_MESSAGES, PyRequest.GET, None, expected, self.target.upper()) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_MESSAGES, PyRequest.GET, None, expected, self.target.lower()) def testSend(self): body = {'message':'This is a test!'} message = {"message":"This is a test!", "author":self.createUsername(self.username)} self.unauthed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.POST, body, self.expectedDenied, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.POST, body, self.expectedSuccess, self.target) self.outbox = self.outbox + 1 targetPage = {"totalElements": self.outbox, "content": message} expectedTargetResponse = self.unauthed.getPageResponse(targetPage) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION_MESSAGES, PyRequest.GET, None, expectedTargetResponse, self.username) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.POST, body, self.expectedSuccess, self.username) self.authed.expectResponse(Paths.BLOCKED_ID, PyRequest.POST, None, self.expectedSuccess, self.target) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.POST, body, self.expectedNotAllowed, self.username) self.authed.expectResponse(Paths.BLOCKED_ID, PyRequest.DELETE, None, self.expectedSuccess, self.target) self.targetAuthed.expectResponse(Paths.MESSAGES_CONVERSATION, PyRequest.POST, body, self.expectedSuccess, self.username) self.inbox = self.inbox + 2 def testFlagConversation(self): self.unauthed.expectResponse(Paths.MESSAGES_CONVERSATION_FLAG, PyRequest.POST, None, self.expectedDenied, self.target) self.authed.expectResponse(Paths.MESSAGES_CONVERSATION_FLAG, PyRequest.POST, None, self.expectedSuccess, self.target) # ensure user is not suspended after a single flagging self.targetAuthed.expectResponse(Paths.USERS_CURRENT, PyRequest.GET, None, self.unauthed.getDTOResponse())
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7.353923
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5
f55b1f2ddbf873799e6bc21b090aeba9557ed795
4,301
py
Python
Modules/Bugzilla_API.py
ghasemieh/Duplicate-Bug-Identification-system
c6b40a0be999f80c73a92c138bb2a047789664ae
[ "MIT" ]
4
2020-01-30T16:29:22.000Z
2021-11-25T02:16:42.000Z
Modules/Bugzilla_API.py
ghasemieh/Duplicate-Bug-Identification-system
c6b40a0be999f80c73a92c138bb2a047789664ae
[ "MIT" ]
6
2020-02-05T05:43:34.000Z
2021-08-23T20:36:52.000Z
Modules/Bugzilla_API.py
ghasemieh/Duplicated-Bug-Report-Detection-System
c6b40a0be999f80c73a92c138bb2a047789664ae
[ "MIT" ]
null
null
null
""" ------------------------------------------------------- Duplicated Bug Report Detection ------------------------------------------------------- Copyright (c) 2020. Author: Alireza Ghasemieh Email: a.ghasemieh65@gmail.com https://github.com/ghasemieh __Updated__ = 1/29/20, 6:35 AM. ------------------------------------------------------- """ import datetime import os import pandas as pd import pymongo import pytz import requests def API_data_extract_2(from_id_number_till_now): controller = 'https://bugzilla.mozilla.org/rest/bug?include_fields=id,type,product,component,creation_time,status,priority,severity,version,summary,processed_summary,duplicates&f1=bug_id&o1=greaterthan&v1=' get_bug_url = controller + from_id_number_till_now try: # Extract data from Bugzilla REST API response = requests.get(get_bug_url) response_json = response.json() data = response_json["bugs"] print("Number of bug reports:", len(data)) if len(data) > 0: # Initiate mongoDB client = pymongo.MongoClient(os.environ.get('MONGO_ADDRESS', "mongodb://127.0.0.1:27017/")) mydb = client["mydatabase"] mycol = mydb["bug_report"] mycol.create_index([('id', pymongo.ASCENDING)], unique=True) for tup in data: # convert the date and time time_convert = datetime.datetime.strptime(tup['creation_time'], "%Y-%m-%dT%H:%M:%SZ") tup["creation_time"] = time_convert # add insertion time to the record tz_London = pytz.timezone('Europe/London') tup['insertion_time'] = datetime.datetime.now(tz_London) # Insert record to mongoDB try: mycol.insert_one(tup) except: None data = pd.DataFrame(data) data.drop(columns=['_id'], inplace=True) else: data = pd.DataFrame(data) return data except: print("API Error") def API_data_extract(from_a_preiod_of_time_untill_now='2h'): """ ------------------------------------------------------- Extract data from bugzilla website based on the a period of time untill now and then insert to the mongoDB to make a data-lake Use: data = API_data_extract(from_a_preiod_of_time_untill_now = '2h') ------------------------------------------------------- Returns: A data frame of the data ------------------------------------------------------- """ controller = 'https://bugzilla.mozilla.org/rest/bug?include_fields=id,type,product,component,creation_time,status,priority,severity,version,summary,processed_summary,duplicates&chfield=%5BBug%20creation%5D&chfieldfrom=-' get_bug_url = controller + from_a_preiod_of_time_untill_now + '&chfieldto=Now' try: # Extract data from Bugzilla REST API response = requests.get(get_bug_url) response_json = response.json() data = response_json["bugs"] print("Number of bug reports:", len(data)) # Initiate mongoDB client = pymongo.MongoClient(os.environ.get('MONGO_ADDRESS', "mongodb://127.0.0.1:27017/")) mydb = client["mydatabase"] mycol = mydb["bug_report"] mycol.create_index([('id', pymongo.ASCENDING)], unique=True) for tup in data: # convert the date and time time_convert = datetime.datetime.strptime(tup['creation_time'], "%Y-%m-%dT%H:%M:%SZ") tup["creation_time"] = time_convert # add insertion time to the record tz_London = pytz.timezone('Europe/London') tup['insertion_time'] = datetime.datetime.now(tz_London) # Insert record to mongoDB try: mycol.insert_one(tup) except: print(tup['id'], ' Duplicate Bug Report') data = pd.DataFrame(data) data.drop(columns=['_id'], inplace=True) return data except: print("API Error") def API_id_extract(id): """ ------------------------------------------------------- Extract data from bugzilla website based on the ID Use: data = API_data_extract(id = 100) ------------------------------------------------------- Returns: A data frame of the data ------------------------------------------------------- """ id_str = str(id) get_bug_url = 'https://bugzilla.mozilla.org/rest/bug/' + id_str + '?include_fields=id,type,product,component,creation_time,status,priority,severity,version,summary,processed_summary' try: response = requests.get(get_bug_url) response_json = response.json() data = response_json["bugs"] print(data) return pd.DataFrame(data) except: df = pd.DataFrame([]) return df
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5
f5a600cc04c8129e7df3f2a3808bc85ba1e52d6d
2,714
py
Python
intrusiondetection/presets.py
alessandrostockman/cv-intrusion-detection-project-work
efdb9e9296976a84b7aa2addcb0a1ee7cffa526b
[ "MIT" ]
1
2022-02-22T09:43:49.000Z
2022-02-22T09:43:49.000Z
intrusiondetection/presets.py
Marco97-exe/cv-intrusion-detection-project-work
efdb9e9296976a84b7aa2addcb0a1ee7cffa526b
[ "MIT" ]
null
null
null
intrusiondetection/presets.py
Marco97-exe/cv-intrusion-detection-project-work
efdb9e9296976a84b7aa2addcb0a1ee7cffa526b
[ "MIT" ]
1
2022-02-22T09:43:40.000Z
2022-02-22T09:43:40.000Z
import numpy as np import cv2 from intrusiondetection.morphology import MorphOp, MorphOpsSet from intrusiondetection.utility import distance_euclidean from intrusiondetection.enum import ParameterPreset def default_preset(preset): return { ParameterPreset.FAST: preset_3, ParameterPreset.MEDIUM: preset_2, ParameterPreset.SLOW: preset_1 }.get(preset, None) preset_1 = { "initial_background_frames": 80, "initial_background_interpolation": np.median, "background_alpha": 0.3, "background_threshold": 30, "background_distance": distance_euclidean, "background_morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3)), MorphOp(cv2.MORPH_CLOSE, (50,50), cv2.MORPH_ELLIPSE), MorphOp(cv2.MORPH_DILATE, (15,15), cv2.MORPH_ELLIPSE) ), "threshold": 15, "distance": distance_euclidean, "morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3)), MorphOp(cv2.MORPH_CLOSE, (50, 50), cv2.MORPH_ELLIPSE), MorphOp(cv2.MORPH_OPEN, (10,10), cv2.MORPH_ELLIPSE), ), "similarity_threshold": 80, "classification_threshold": 2.6, "edge_threshold": 92, "edge_adaptation": 0.1 } preset_2 = { "initial_background_frames": 80, "initial_background_interpolation": np.median, "background_alpha": 0.3, "background_threshold": 30, "background_distance": distance_euclidean, "background_morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3)), MorphOp(cv2.MORPH_CLOSE, (55,55)), MorphOp(cv2.MORPH_DILATE, (15,15)) ), "threshold": 15, "distance": distance_euclidean, "morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3), cv2.MORPH_ELLIPSE), MorphOp(cv2.MORPH_CLOSE, (50, 50), cv2.MORPH_ELLIPSE), MorphOp(cv2.MORPH_OPEN, (15,15)), ), "similarity_threshold": 80, "classification_threshold": 2.6, "edge_threshold": 110, "edge_adaptation": 0.3 } preset_3 = { "initial_background_frames": 80, "initial_background_interpolation": np.median, "background_alpha": 0.3, "background_threshold": 30, "background_distance": distance_euclidean, "background_morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3)), MorphOp(cv2.MORPH_CLOSE, (55,55)), MorphOp(cv2.MORPH_DILATE, (15,15)) ), "threshold": 15, "distance": distance_euclidean, "morph_ops": MorphOpsSet( MorphOp(cv2.MORPH_OPEN, (3,3), cv2.MORPH_ELLIPSE), MorphOp(cv2.MORPH_CLOSE, (50, 50)), MorphOp(cv2.MORPH_OPEN, (15,15)), ), "similarity_threshold": 80, "classification_threshold": 2.6, "edge_threshold": 70, "edge_adaptation": 0.3 }
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py
Python
tests/issue_tests/__init__.py
janik-martin/fhirtordf
05b23ba1df9f322c148b7f20ebbd6d58cb92cefc
[ "CC0-1.0" ]
10
2017-11-20T07:18:36.000Z
2022-02-03T12:59:26.000Z
tests/issue_tests/__init__.py
janik-martin/fhirtordf
05b23ba1df9f322c148b7f20ebbd6d58cb92cefc
[ "CC0-1.0" ]
22
2017-09-12T22:15:11.000Z
2021-05-14T13:48:48.000Z
tests/issue_tests/__init__.py
janik-martin/fhirtordf
05b23ba1df9f322c148b7f20ebbd6d58cb92cefc
[ "CC0-1.0" ]
9
2018-05-09T07:51:51.000Z
2022-03-09T16:03:19.000Z
import os ISSUE_TEST_DIR = os.path.abspath(os.path.dirname(__file__)) ISSUE_TEST_DATA_DIR = os.path.join(ISSUE_TEST_DIR, 'data')
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gyp
Python
examples/pxScene2d/external/libnode-v10.15.3/test/addons-napi/test_constructor/binding.gyp
madanagopaltcomcast/pxCore
c4a3a40a190521c8b6383d126c87612eca5b3c42
[ "Apache-2.0" ]
1,144
2018-12-18T09:46:47.000Z
2022-03-07T14:51:46.000Z
examples/pxScene2d/external/libnode-v10.15.3/test/addons-napi/test_constructor/binding.gyp
madanagopaltcomcast/pxCore
c4a3a40a190521c8b6383d126c87612eca5b3c42
[ "Apache-2.0" ]
1,432
2017-06-21T04:08:48.000Z
2020-08-25T16:21:15.000Z
examples/pxScene2d/external/libnode-v10.15.3/test/addons-napi/test_constructor/binding.gyp
madanagopaltcomcast/pxCore
c4a3a40a190521c8b6383d126c87612eca5b3c42
[ "Apache-2.0" ]
317
2017-06-20T19:57:17.000Z
2020-09-16T10:28:30.000Z
{ "targets": [ { "target_name": "test_constructor", "sources": [ "test_constructor.c" ] }, { "target_name": "test_constructor_name", "sources": [ "test_constructor_name.c" ] } ] }
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1952267644b7a735d455cf0f97d8e81a57266595
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py
Python
itests/asgard/api/test_apps.py
b2wdigital/asgard-api
5444d81be33bf4af3c9cf5a2185c16ff10357034
[ "MIT" ]
3
2020-01-10T02:16:09.000Z
2020-02-19T18:42:37.000Z
itests/asgard/api/test_apps.py
b2wdigital/asgard-api
5444d81be33bf4af3c9cf5a2185c16ff10357034
[ "MIT" ]
13
2020-01-15T18:22:35.000Z
2021-03-31T19:21:54.000Z
itests/asgard/api/test_apps.py
b2wdigital/asgard-api
5444d81be33bf4af3c9cf5a2185c16ff10357034
[ "MIT" ]
6
2020-03-07T09:49:19.000Z
2021-07-25T03:14:10.000Z
from datetime import datetime, timezone from http import HTTPStatus from aioresponses import aioresponses from asyncworker.testing import HttpClientContext from asgard.api.apps import app from asgard.conf import settings from asgard.models.app import AppStats from itests.util import ( BaseTestCase, ACCOUNT_DEV_ID, USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY, ) from tests.utils import build_mesos_cluster, get_fixture class AppStatsTest(BaseTestCase): async def setUp(self): await super(AppStatsTest, self).setUp() self.client = await self.aiohttp_client(app) self.utc_now = datetime.utcnow().replace(tzinfo=timezone.utc) self.INDEX_NAME = ( f"asgard-app-stats-{self.utc_now.strftime('%Y-%m-%d-%H')}" ) async def tearDown(self): await super(AppStatsTest, self).tearDown() await self.esclient.indices.delete( index=self.INDEX_NAME, ignore=[HTTPStatus.BAD_REQUEST, HTTPStatus.NOT_FOUND], ) async def test_apps_stats_empty_stats_for_existing_app(self): async with HttpClientContext(app) as client: local_address = ( f"http://{client._server.host}:{client._server.port}" ) with aioresponses( passthrough=[local_address, settings.STATS_API_URL] ) as rsps: agent_id = "ead07ffb-5a61-42c9-9386-21b680597e6c-S0" build_mesos_cluster(rsps, agent_id) # namespace=asgard-infra app_stats_datapoints = get_fixture( f"agents/{agent_id}/app_stats.json" ) await self._load_app_stats_into_storage( self.INDEX_NAME, self.utc_now, app_stats_datapoints ) resp = await client.get( f"/apps/infra/asgard/api/stats?account_id={ACCOUNT_DEV_ID}", headers={ "Authorization": f"Token {USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY}" }, ) self.assertEqual(HTTPStatus.OK, resp.status) data = await resp.json() self.assertEqual( AppStats( cpu_pct="0.25", ram_pct="15.05", cpu_thr_pct="1.00" ).dict(), data["stats"], ) async def test_apps_stats_with_avg_1_min(self): async with HttpClientContext(app) as client: local_address = ( f"http://{client._server.host}:{client._server.port}" ) with aioresponses( passthrough=[local_address, settings.STATS_API_URL] ) as rsps: agent_id = "ead07ffb-5a61-42c9-9386-21b680597e6c-S0" build_mesos_cluster(rsps, agent_id) # namespace=asgard-infra app_stats_datapoints = get_fixture( f"agents/{agent_id}/app_stats.json" ) await self._load_app_stats_into_storage( self.INDEX_NAME, self.utc_now, app_stats_datapoints ) resp = await client.get( f"/apps/infra/asgard/api/stats/avg-1min?account_id={ACCOUNT_DEV_ID}", headers={ "Authorization": f"Token {USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY}" }, ) self.assertEqual(HTTPStatus.OK, resp.status) data = await resp.json() self.assertEqual( AppStats( cpu_pct="0.25", ram_pct="15.05", cpu_thr_pct="1.00" ).dict(), data["stats"], ) async def test_apps_stats_app_not_found(self): async with HttpClientContext(app) as client: local_address = ( f"http://{client._server.host}:{client._server.port}" ) with aioresponses( passthrough=[local_address, settings.STATS_API_URL] ) as rsps: agent_id = "ead07ffb-5a61-42c9-9386-21b680597e6c-S0" build_mesos_cluster(rsps, agent_id) # namespace=asgard-infra app_stats_datapoints = get_fixture( f"agents/{agent_id}/app_stats.json" ) resp = await client.get( f"/apps/asgard/api/not-exist/stats?account_id={ACCOUNT_DEV_ID}", headers={ "Authorization": f"Token {USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY}" }, ) self.assertEqual(HTTPStatus.OK, resp.status) data = await resp.json() self.assertEqual( AppStats(cpu_pct="0", ram_pct="0", cpu_thr_pct="0").dict(), data["stats"], ) async def test_apps_stats_check_uri_regex(self): async with HttpClientContext(app) as client: local_address = ( f"http://{client._server.host}:{client._server.port}" ) with aioresponses( passthrough=[local_address, settings.STATS_API_URL] ) as rsps: agent_id = "ead07ffb-5a61-42c9-9386-21b680597e6c-S0" build_mesos_cluster(rsps, agent_id) # namespace=asgard-infra resp = await client.get( f"/apps/asgard/pgsql-9.4/stats?account_id={ACCOUNT_DEV_ID}", headers={ "Authorization": f"Token {USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY}" }, ) self.assertEqual(HTTPStatus.OK, resp.status) resp = await client.get( f"/apps/asgard/pgsql-9..4/stats?account_id={ACCOUNT_DEV_ID}", headers={ "Authorization": f"Token {USER_WITH_MULTIPLE_ACCOUNTS_AUTH_KEY}" }, ) self.assertEqual(HTTPStatus.OK, resp.status)
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198452bf6668d13c319d6a9e88551499304c847f
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py
Python
doodad/__init__.py
charlesjsun/doodad
eb30cfc668054ab84f58536eb777a1a56258030a
[ "MIT" ]
1
2020-10-12T13:55:48.000Z
2020-10-12T13:55:48.000Z
doodad/__init__.py
charlesjsun/doodad
eb30cfc668054ab84f58536eb777a1a56258030a
[ "MIT" ]
1
2020-03-11T14:41:43.000Z
2020-03-11T14:41:43.000Z
doodad/__init__.py
charlesjsun/doodad
eb30cfc668054ab84f58536eb777a1a56258030a
[ "MIT" ]
10
2018-06-25T21:07:14.000Z
2021-07-19T18:46:17.000Z
from .launch_tools import * from .arg_parse import get_args
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1985aef1c9e2458698124d87727ecf356e146c13
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py
Python
mobile/tests/utils/test_cache_helper.py
invinst/CPDB
c2d8ae8888b13d956cc1068742f18d45736d4121
[ "Apache-2.0" ]
16
2016-05-20T09:03:32.000Z
2020-09-13T14:23:06.000Z
mobile/tests/utils/test_cache_helper.py
invinst/CPDB
c2d8ae8888b13d956cc1068742f18d45736d4121
[ "Apache-2.0" ]
2
2016-05-24T01:44:14.000Z
2016-06-17T22:19:45.000Z
mobile/tests/utils/test_cache_helper.py
invinst/CPDB
c2d8ae8888b13d956cc1068742f18d45736d4121
[ "Apache-2.0" ]
2
2016-10-10T16:14:19.000Z
2020-10-26T00:17:02.000Z
from unittest.mock import MagicMock from django.core.cache import cache from django.test import override_settings from common.tests.core import SimpleTestCase from mobile.utils.cache_helper import CacheHelper, get_or_set @override_settings(CACHES={ 'default': { 'BACKEND': 'django.core.cache.backends.locmem.LocMemCache', 'LOCATION': 'unique-snowflake', } }) class CacheHelperTest(SimpleTestCase): def tearDown(self): cache.clear() def test_get_or_set_when_already_have_value(self): cache.set('cache_key', 'other_value') CacheHelper.get_or_set('cache_key', 'value') cache.get('cache_key').should.be.equal('other_value') def test_get_or_set_when_not_set_yet(self): CacheHelper.get_or_set('cache_key', 'value') cache.get('cache_key').should.be.equal('value') @override_settings(CACHES={ 'default': { 'BACKEND': 'django.core.cache.backends.locmem.LocMemCache', 'LOCATION': 'unique-snowflake', } }) class GetOrSetDecoratorTest(SimpleTestCase): def tearDown(self): cache.clear() def test_get_or_set_when_already_have_value(self): cache.set('cache_key', 'other_value') method = MagicMock(return_value='value') decorated_method = get_or_set('cache_key')(method) decorated_method().should.equal('other_value') def test_get_or_set_when_not_set_yet(self): method = MagicMock(return_value='value') decorated_method = get_or_set('cache_key')(method) decorated_method().should.equal('value')
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19a3252e92eff98590a88a493e3f5f90025124c1
66
py
Python
mne/artifacts/__init__.py
mluessi/mne-python
aef0cd79b0543c6d121de236098bd7865feff39e
[ "BSD-3-Clause" ]
1
2022-03-23T22:26:50.000Z
2022-03-23T22:26:50.000Z
mne/artifacts/__init__.py
neurodebian/mne-python
44a5ef5241a748b2f77c62fdcda6334220c6af45
[ "BSD-3-Clause" ]
null
null
null
mne/artifacts/__init__.py
neurodebian/mne-python
44a5ef5241a748b2f77c62fdcda6334220c6af45
[ "BSD-3-Clause" ]
null
null
null
from .eog import find_eog_events from .ecg import find_ecg_events
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5
5fdbbbd3780d87b19d0ce1416ee3bcb974b6709f
245
py
Python
training/Loss/__init__.py
bit-bcilab/SiamDCA
78a520f2bf6b89f8dee8b05ca7a9399813f77e92
[ "Apache-2.0" ]
null
null
null
training/Loss/__init__.py
bit-bcilab/SiamDCA
78a520f2bf6b89f8dee8b05ca7a9399813f77e92
[ "Apache-2.0" ]
null
null
null
training/Loss/__init__.py
bit-bcilab/SiamDCA
78a520f2bf6b89f8dee8b05ca7a9399813f77e92
[ "Apache-2.0" ]
null
null
null
from .ClassificationLoss import PreprocessCls, NllPosLoss, NllNegLoss, FocalPosLoss, FocalNegLoss from .LocationLoss import L1Loss, SmoothL1Loss, IOULoss, GIOULoss, DIOULoss, CIOULoss from .QualityLoss import ShrinkageLoss, HuberLoss
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5
5fe977c764469e1f516ca5c8ee70321d019e7706
21
py
Python
torauth/mocks/__init__.py
tonlabs/tor-service
1d7e15c20277202927e9869f73094fec7077bd38
[ "Apache-2.0" ]
4
2021-01-25T08:22:57.000Z
2022-02-01T20:39:00.000Z
torauth/mocks/__init__.py
tonlabs/tor-service
1d7e15c20277202927e9869f73094fec7077bd38
[ "Apache-2.0" ]
1
2021-03-31T19:09:08.000Z
2021-04-05T10:20:06.000Z
torauth/mocks/__init__.py
tonlabs/tor-service
1d7e15c20277202927e9869f73094fec7077bd38
[ "Apache-2.0" ]
null
null
null
from . Surf import *
10.5
20
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Python
app/view.py
fauziwei/_flask_
a2e8ed2f459df289945fa7942b23e9e02da63bb8
[ "Apache-2.0" ]
null
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app/view.py
fauziwei/_flask_
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app/view.py
fauziwei/_flask_
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# coding: utf-8 '''Fauzi, fauzi@soovii.com''' from flask_restful import Resource
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Python
micromagnetictests/calculatortests/zeeman.py
ubermag/micromagnetictests
60ad592b146f1ca5c35c897b64f281d62fa77699
[ "BSD-3-Clause" ]
2
2021-05-27T05:00:39.000Z
2022-01-16T15:01:39.000Z
micromagnetictests/calculatortests/zeeman.py
ubermag/micromagnetictests
60ad592b146f1ca5c35c897b64f281d62fa77699
[ "BSD-3-Clause" ]
6
2021-06-25T09:42:35.000Z
2022-03-15T00:09:10.000Z
micromagnetictests/calculatortests/zeeman.py
ubermag/micromagnetictests
60ad592b146f1ca5c35c897b64f281d62fa77699
[ "BSD-3-Clause" ]
1
2021-07-04T15:39:10.000Z
2021-07-04T15:39:10.000Z
import pytest import numpy as np import discretisedfield as df import micromagneticmodel as mm class TestZeeman: @pytest.fixture(autouse=True) def _setup_calculator(self, calculator): self.calculator = calculator def setup(self): p1 = (-10e-9, -5e-9, -3e-9) p2 = (10e-9, 5e-9, 3e-9) self.region = df.Region(p1=p1, p2=p2) self.cell = (1e-9, 1e-9, 1e-9) self.subregions = {'r1': df.Region(p1=(-10e-9, -5e-9, -3e-9), p2=(10e-9, 0, 3e-9)), 'r2': df.Region(p1=(-10e-9, 0, -3e-9), p2=(10e-9, 5e-9, 3e-9))} def test_vector(self): name = 'zeeman_vector' H = (0, 0, 1e6) Ms = 1e6 system = mm.System(name=name) # time-independent system.energy = mm.Zeeman(H=H) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) md = self.calculator.MinDriver() md.drive(system) value = system.m(mesh.region.random_point()) assert np.linalg.norm(np.subtract(value, (0, 0, Ms))) < 1e-3 # time-dependent - sin system.energy = mm.Zeeman(H=H, wave='sin', f=1e9, t0=1e-12) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - sinc system.energy = mm.Zeeman(H=H, wave='sinc', f=1e9, t0=0) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) self.calculator.delete(system) # time-dependent - function def t_func(t): if t < 1e-10: return 1 elif t < 5e-10: return (5e-10 - t) / 4e-10 else: return 0 system.energy = mm.Zeeman(H=H, time_dependence=t_func, tstep=1e-13) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - tcl strings tcl_strings = {} tcl_strings['proc'] = '''proc TimeFunction { total_time } { set Hx [expr {sin($total_time * 1e10)}] set dHx [expr {1e10 * cos($total_time * 1e10)}] return [list $Hx 0 0 $dHx 0 0] } ''' tcl_strings['energy'] = 'Oxs_ScriptUZeeman' tcl_strings['script_args'] = 'total_time' tcl_strings['script'] = 'TimeFunction' system.energy = mm.Zeeman(H=H, tcl_strings=tcl_strings) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) self.calculator.delete(system) def test_dict(self): name = 'zeeman_dict' H = {'r1': (1e5, 0, 0), 'r2': (0, 0, 1e5)} Ms = 1e6 system = mm.System(name=name) system.energy = mm.Zeeman(H=H) mesh = df.Mesh(region=self.region, cell=self.cell, subregions=self.subregions) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) md = self.calculator.MinDriver() md.drive(system) assert np.linalg.norm(np.subtract(system.m['r1'].average, (Ms, 0, 0))) < 1 assert np.linalg.norm(np.subtract(system.m['r2'].average, (0, 0, Ms))) < 1 # time-dependent - sin system.energy = mm.Zeeman(H=H, wave='sin', f=1e9, t0=1e-12) mesh = df.Mesh(region=self.region, cell=self.cell, subregions=self.subregions) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - sinc system.energy = mm.Zeeman(H=H, wave='sinc', f=1e9, t0=0) mesh = df.Mesh(region=self.region, cell=self.cell, subregions=self.subregions) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - function def t_func(t): if t < 1e-10: return 1 elif t < 5e-10: return (5e-10 - t) / 4e-10 else: return 0 system.energy = mm.Zeeman(H=H, time_dependence=t_func, tstep=1e-13) mesh = df.Mesh(region=self.region, cell=self.cell, subregions=self.subregions) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) self.calculator.delete(system) def test_field(self): name = 'zeeman_field' def value_fun(pos): x, y, z = pos if x <= 0: return (1e6, 0, 0) else: return (0, 0, 1e6) mesh = df.Mesh(region=self.region, cell=self.cell) H = df.Field(mesh, dim=3, value=value_fun) Ms = 1e6 system = mm.System(name=name) system.energy = mm.Zeeman(H=H) system.m = df.Field(mesh, dim=3, value=(0, 1, 0), norm=Ms) md = self.calculator.MinDriver() md.drive(system) value = system.m((-2e-9, -2e-9, -2e-9)) assert np.linalg.norm(np.subtract(value, (Ms, 0, 0))) < 1e-3 value = system.m((2e-9, 2e-9, 2e-9)) assert np.linalg.norm(np.subtract(value, (0, 0, Ms))) < 1e-3 # time-dependent - sin system.energy = mm.Zeeman(H=H, wave='sin', f=1e9, t0=1e-12) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - sinc system.energy = mm.Zeeman(H=H, wave='sinc', f=1e9, t0=0) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - function def t_func(t): omega = 2*np.pi * 1e9 return [np.cos(omega * t), -np.sin(omega * t), 0, np.sin(omega * t), np.cos(omega * t), 0, 0, 0, 1] system.energy = mm.Zeeman(H=H, time_dependence=t_func, tstep=1e-13) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) # time-dependent - tcl strings tcl_strings = {} tcl_strings['proc'] = '''proc TimeFunction { total_time } { set PI [expr {4*atan(1.)}] set w [expr {1e9*2*$PI}] set ct [expr {cos($w*$total_time)}] set mct [expr {-1*$ct}] ;# "mct" is "minus cosine (w)t" set st [expr {sin($w*$total_time)}] set mst [expr {-1*$st}] ;# "mst" is "minus sine (w)t" return [list $ct $mst 0 \ $st $ct 0 \ 0 0 1 \ [expr {$w*$mst}] [expr {$w*$mct}] 0 \ [expr {$w*$ct}] [expr {$w*$mst}] 0 \ 0 0 0] }''' tcl_strings['energy'] = 'Oxs_TransformZeeman' tcl_strings['type'] = 'general' tcl_strings['script_args'] = 'total_time' tcl_strings['script'] = 'TimeFunction' system.energy = mm.Zeeman(H=H, tcl_strings=tcl_strings) mesh = df.Mesh(region=self.region, cell=self.cell) system.m = df.Field(mesh, dim=3, value=(1, 1, 1), norm=Ms) td = self.calculator.TimeDriver() td.drive(system, t=0.1e-9, n=20) self.calculator.delete(system)
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Python
home/config/calibre/conversion/search_and_replace.py
phongvcao/dotfiles
a1f09a7adc5548f27d64954fe6e338658e7a4e2a
[ "MIT" ]
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2015-03-01T02:16:38.000Z
2020-08-10T07:20:51.000Z
home/config/calibre/conversion/search_and_replace.py
phongvcao/dotfiles
a1f09a7adc5548f27d64954fe6e338658e7a4e2a
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null
null
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home/config/calibre/conversion/search_and_replace.py
phongvcao/dotfiles
a1f09a7adc5548f27d64954fe6e338658e7a4e2a
[ "MIT" ]
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2020-11-11T05:30:52.000Z
2020-11-11T05:30:52.000Z
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Python
source/hsicbt/core/engine.py
tongjian121/PK-HBaR
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[ "MIT" ]
null
null
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source/hsicbt/core/engine.py
tongjian121/PK-HBaR
c564e0f08c2c09e0023384adecfcf25e2d53a8a3
[ "MIT" ]
null
null
null
source/hsicbt/core/engine.py
tongjian121/PK-HBaR
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[ "MIT" ]
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null
null
import collections from .. import * from . import * from .train_misc import * from .train_hsic import * from .train_standard import * from ..utils.path import * from ..math.admm import * from ..utils.masks import * from .train_competitor1 import * from .train_competitor2 import * from .train_competitor3 import * from .train_competitor4 import * from .train_hsic_prune import * from .train_hsic_prune_proj import * import torch def training_standard(config_dict): """ Train model with HBaR or CE only """ train_loader, test_loader = get_dataset_from_code(config_dict['data_code'], config_dict['batch_size']) torch.manual_seed(config_dict['seed']) model = model_distribution(config_dict) #config_dict['robustness'] = True model_single_output = model_distribution(config_dict) for name, weight in model.named_parameters(): print(name) # load pretrained model if 'load_model' in config_dict: model.load_state_dict(load_model(get_model_path("{}".format(config_dict['load_model'])))) nepoch = config_dict['epochs'] optimizer, scheduler = set_optimizer(config_dict, model, train_loader, \ config_dict['optimizer'], config_dict['learning_rate'], nepoch) best = 0 log_dict = {} batch_log_list = [] epoch_log_dict = collections.defaultdict(list) filename = os.path.splitext(config_dict['model_file'])[0] #train_loss, train_acc, train_hx, train_hy = misc.get_hsic_epoch(config_dict, model, train_loader) #test_loss, test_acc, test_hx, test_hy = misc.get_hsic_epoch(config_dict, model, test_loader) #epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) #print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}.".format(0, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy)) for cepoch in range(0, nepoch+1): if cepoch > 0: print(get_lr(optimizer)) if config_dict['training_type'] == 'hsictrain': hsic_prune(cepoch, model, train_loader, optimizer, scheduler, config_dict) elif config_dict['training_type'] == 'backprop': standard_train(cepoch, model, train_loader, optimizer, scheduler, config_dict) elif config_dict['training_type'] == 'competitor1': ### competing method: HSIC BottleNeck competitor1(cepoch, model, train_loader, optimizer, scheduler, config_dict) elif config_dict['training_type'] == 'competitor2': ### competing method: HSIC(X, Y-h(x)) + CE competitor2(cepoch, model, train_loader, optimizer, scheduler, config_dict) elif config_dict['training_type'] == 'competitor3': ### competing method: adversarial training via mart competitor3(cepoch, model, train_loader, optimizer, scheduler, config_dict) elif config_dict['training_type'] == 'competitor4': ### competing method: adversarial training via trades competitor4(cepoch, model, train_loader, optimizer, scheduler, config_dict) else: raise ValueError("Unknown training type or not support [{}]".format(config_dict['training_type'])) train_loss, train_acc, train_hx, train_hy, train_dl = misc.get_hsic_epoch(config_dict, model, train_loader) test_loss, test_acc, test_hx, test_hy, test_dl = misc.get_hsic_epoch(config_dict, model, test_loader) epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}.".format(cepoch, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy)) # Robustness Analysis model_single_output.load_state_dict(model.state_dict()) model_single_output.eval() rob_acc, rob_acc5, rob_hx, rob_hy = misc.eval_robust_epoch(model_single_output, test_loader, config_dict) epoch_log_dict['rob'].append(rob_acc) epoch_log_dict['rob_hx'].append(rob_hx) epoch_log_dict['rob_hy'].append(rob_hy) if config_dict['save_last_model_only'] and cepoch == nepoch: save_model(model,get_model_path("{}.pt".format(filename))) else: temp = test_acc + rob_acc if temp > best: save_model(model,get_model_path("{}.pt".format(filename))) best = temp log_dict['epoch_log_dict'] = epoch_log_dict log_dict['config_dict'] = config_dict filename = "{}.npy".format(os.path.splitext(config_dict['model_file'])[0]) save_logs(log_dict, get_log_filepath("{}".format(filename))) return batch_log_list, epoch_log_dict def training_hsic_prune(config_dict): """ Train hsic model parameters with hsic + hard pruning + masked retrain """ train_loader, test_loader = get_dataset_from_code(config_dict['data_code'], config_dict['batch_size']) torch.manual_seed(config_dict['seed']) # load pre-trained model model = model_distribution(config_dict) model.load_state_dict(load_model(get_model_path("{}".format(config_dict['load_model'])))) # distillation teacher model if config_dict['distill']: pretrained = deepcopy(model) pretrained.load_state_dict(torch.load(config_dict['distill_model_path'])) pretrained = pretrained.to(config_dict['device']) pretrained.eval() config_dict['pretrained'] = pretrained if config_dict['distill_loss'] == 'kl': distillation_criterion = torch.nn.KLDivLoss(log_target=True).to(config_dict['device']) elif config_dict['distill_loss'] == 'mse' or 'mseml': distillation_criterion = torch.nn.MSELoss().to(config_dict['device']) config_dict['distillation_criterion'] = distillation_criterion # construct single output model for test # config_dict['robustness'] = True model_single_output = model_distribution(config_dict) # optimizer nepoch = config_dict['epochs'] re_nepoch = config_dict['retrain_ep'] optimizer, scheduler = set_optimizer(config_dict, model, train_loader, \ config_dict['optimizer'], config_dict['learning_rate'], nepoch) log_dict = {} batch_log_list = [] epoch_log_dict = collections.defaultdict(list) # pre-test train_loss, train_acc, train_hx, train_hy, train_dl = misc.get_hsic_epoch(config_dict, model, train_loader) test_loss, test_acc, test_hx, test_hy, test_dl = misc.get_hsic_epoch(config_dict, model, test_loader) epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, train_dl {:.4f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, test_dl {:.4f}.".format(0, train_acc, train_hx, train_hy, train_dl, test_loss, test_acc, test_hx, test_hy, test_dl)) # Robustness Analysis model_single_output.load_state_dict(model.state_dict()) model_single_output.eval() rob_acc, rob_acc5, rob_hx, rob_hy = misc.eval_robust_epoch(model_single_output, test_loader, config_dict) epoch_log_dict['rob'].append(rob_acc) epoch_log_dict['rob_hx'].append(rob_hx) epoch_log_dict['rob_hy'].append(rob_hy) # Tong: Initializing ADMM; if not admm, do hard pruning only admm = ADMM(config_dict, model, config=get_pr_path(config_dict), rho=config_dict['rho']) if config_dict['admm'] else None for cepoch in range(1, nepoch+1): if config_dict['training_type'] == 'hsicproj': #Train hsic model parameters with backprop + pruning, in the end of each epoch, do ADMM + hsic projection hsic_proj_prune(cepoch, model, train_loader, optimizer, scheduler, config_dict, ADMM=admm) elif config_dict['training_type'] == 'hsictrain': #Train hsic model parameters with (backprop + hisc) + pruning, in the end of each epoch, do ADMM hsic_prune(cepoch, model, train_loader, optimizer, scheduler, config_dict, ADMM=admm) elif config_dict['training_type'] == 'backprop': #Train hsic model parameters with backprop + pruning, in the end of each epoch, do ADMM standard_train(cepoch, model, train_loader, optimizer, scheduler, config_dict, ADMM=admm) else: raise ValueError("Unknown training type or not support [{}]".format(config_dict['training_type'])) train_loss, train_acc, train_hx, train_hy, train_dl = misc.get_hsic_epoch(config_dict, model, train_loader) test_loss, test_acc, test_hx, test_hy, test_dl = misc.get_hsic_epoch(config_dict, model, test_loader) epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, train_dl {:.4f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, test_dl {:.4f}.".format(cepoch, train_acc, train_hx, train_hy, train_dl, test_loss, test_acc, test_hx, test_hy, test_dl)) # Robustness Analysis model_single_output.load_state_dict(model.state_dict()) model_single_output.eval() rob_acc, rob_acc5, rob_hx, rob_hy = misc.eval_robust_epoch(model_single_output, test_loader, config_dict) epoch_log_dict['rob'].append(rob_acc) epoch_log_dict['rob_hx'].append(rob_hx) epoch_log_dict['rob_hy'].append(rob_hy) print(get_lr(optimizer)) # Tong: if not admm, do hard pruning only #filename = os.path.splitext(config_dict['model_file'])[0] #save_model(model,get_model_path("{}.pt".format(filename+'_beforeHardprune'))) # hard prune hard_prune(admm, model, config_dict['sparsity_type'], option=None) if config_dict['sparsity_type']=='filter': test_filter_sparsity(model) else: test_irregular_sparsity(model) masks = get_model_mask(model=model) train_loss, train_acc, train_hx, train_hy, train_dl = misc.get_hsic_epoch(config_dict, model, train_loader) test_loss, test_acc, test_hx, test_hy, test_dl = misc.get_hsic_epoch(config_dict, model, test_loader) epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) # print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, train_dl {:.4f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, test_dl {:.4f}.".format(0, train_acc, train_hx, train_hy, train_dl, test_loss, test_acc, test_hx, test_hy, test_dl)) print("After hard prune: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, train_dl {:.4f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, test_dl {:.4f}.".format(train_acc, train_hx, train_hy, train_dl, test_loss, test_acc, test_hx, test_hy, test_dl)) # Robustness Analysis model_single_output.load_state_dict(model.state_dict()) model_single_output.eval() rob_acc, rob_acc5, rob_hx, rob_hy = misc.eval_robust_epoch(model_single_output, test_loader, config_dict) epoch_log_dict['rob'].append(rob_acc) epoch_log_dict['rob_hx'].append(rob_hx) epoch_log_dict['rob_hy'].append(rob_hy) # masked retrain best = 0 train_loader, test_loader = get_dataset_from_code(config_dict['data_code'], config_dict['retrain_bs']) optimizer, scheduler = set_optimizer(config_dict, model, train_loader, \ config_dict['retrain_opt'], config_dict['retrain_lr'], re_nepoch) for cepoch in range(1, re_nepoch+1): # you can also re-write hsic_train function if config_dict['retraining_type'] == 'hsicproj' or config_dict['retraining_type'] == 'hsictrain': #Train hsic model parameters with backprop + hsic with masks hsic_prune(cepoch, model, train_loader, optimizer, scheduler, config_dict, masks=masks) elif config_dict['retraining_type'] == 'backprop': #Train hsic model parameters with backprop with masks standard_train(cepoch, model, train_loader, optimizer, scheduler, config_dict, masks=masks) else: raise ValueError("Unknown training type or not support [{}]".format(config_dict['retraining_type'])) train_loss, train_acc, train_hx, train_hy, train_dl = misc.get_hsic_epoch(config_dict, model, train_loader) test_loss, test_acc, test_hx, test_hy, test_dl = misc.get_hsic_epoch(config_dict, model, test_loader) epoch_log_dict = append_epoch_log_dict(epoch_log_dict, train_loss, train_acc, train_hx, train_hy, test_loss, test_acc, test_hx, test_hy) print("Epoch-[{:03d}]: Train acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, train_dl {:.4f}; Test loss: {:.2f}, acc: {:.2f}, hsic_xz: {:.2f}, hsic_yz: {:.2f}, test_dl {:.4f}.".format(cepoch, train_acc, train_hx, train_hy, train_dl, test_loss, test_acc, test_hx, test_hy, test_dl)) # Robustness Analysis model_single_output.load_state_dict(model.state_dict()) model_single_output.eval() rob_acc, rob_acc5, rob_hx, rob_hy = misc.eval_robust_epoch(model_single_output, test_loader, config_dict) epoch_log_dict['rob'].append(rob_acc) epoch_log_dict['rob_hx'].append(rob_hx) epoch_log_dict['rob_hy'].append(rob_hy) print(get_lr(optimizer)) # Save Model #temp = test_acc + rob_acc temp = rob_acc if temp > best: filename = os.path.splitext(config_dict['model_file'])[0] print("!!!!!Saving the model at retrain epoch {}".format(cepoch)) save_model(model,get_model_path("{}.pt".format(filename+'_best'))) best = temp #if config_dict['save_last_model_only'] and cepoch == re_nepoch: # filename = os.path.splitext(config_dict['model_file'])[0] # save_model(model,get_model_path("{}.pt".format(filename))) log_dict['epoch_log_dict'] = epoch_log_dict #log_dict['config_dict'] = config_dict filename = "{}.npy".format(os.path.splitext(config_dict['model_file'])[0]) save_logs(log_dict, get_log_filepath("{}".format(filename))) # Test pruning ratio test_irregular_sparsity(model) return batch_log_list, epoch_log_dict
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27b7907660846640b258c71c31dddad10d0867f6
4,244
py
Python
CircleCityConCTF2021/Crypto/CRT_RSA_solve.py
yl-ang/CTF
a075231a3dc32630a26f3b2d4dfc1dd9b9f1e0b9
[ "MIT" ]
null
null
null
CircleCityConCTF2021/Crypto/CRT_RSA_solve.py
yl-ang/CTF
a075231a3dc32630a26f3b2d4dfc1dd9b9f1e0b9
[ "MIT" ]
null
null
null
CircleCityConCTF2021/Crypto/CRT_RSA_solve.py
yl-ang/CTF
a075231a3dc32630a26f3b2d4dfc1dd9b9f1e0b9
[ "MIT" ]
3
2021-06-28T09:52:07.000Z
2021-09-22T03:28:40.000Z
# from User's Guide to PARI/GP, nth_root function import libnum n_0 = 18313667803478867336609004721464541537328973484305462826796382793855753159667702339443214415676107219128019719918729781240367765840170011546130583192904778311406642412055832301895834234050092458894891378245659415453668079516268277621821820816314253525389030994411875738859521385775378994318680298110895022910442167872459649446752807884859578440573460451717182770603357201261838877834565082113563029377616922987738400092690457439097525425733191455006127272117318175252557137776704423298751249687687982939242399995960217891670545776591917279437324424655966555374035972380565105603454122721599641307596329237684195317587 n_1 = 20194467459457647060586516996478370472351267218473917410062391619804366508155615598555934151439965040658239840971767337317396956926547783621869694734101324546348705982578129843495046800965472146299498824698092002656707267929600194580016819675385334043852783023251749457877096316831425135876783876607713235344100191162140401175616183217075255611260047339942560958156070307547443884997807476833178558920808584815204100121025788968550385803770908539890673979000205479656826535064665232908045866184941964720268186377486138453445647534884078844954199823059749774156922214595091852691529313493766002778666818883664405832403 n_2 = 28410407035821399633105602414308666083186296658943720122869492873011020714858272525924383333651592284428901214906611872460164447581815587883155804582069085992375163808745662275133491411336915996399762543519217523867565162464721135784726071214566835068379436095952306868321574023543552212709114558637219985795158790999008762464781584235742497782435874814916996914994622843458737648796476512273155699038887480170809464170867427859436811167822162365878701943537205202829629515767060354955288883378511576712085561459099352295975180411538002583505384685029771639657760193592641463091670959570110199839193007853012047792951 ct_0 = 4361068625491121585959284487341364298014917091167459186815285529598354735142456720602466259897053502006543584155650414108053083187715487460414552189153473176328972836654051104002438654670972840351138096724369732822616030793769716381154959736278166838792024300286881567007214354013293287163863182681969888796359513260199887574592768851482378233523702226160031879160962727499277063367162956148498154268271025542127905089334411348063974019724471911095717624141476012283069088544181538863919281957631181754200250370777952217187591480953121517810770662230820689692425877920149973485291740351240601042031554568416165653801 ct_1 = 7454119914503246454695225608366998910502362663575277057804461920278767763248677179908320434252341988720062910948247234833145541538721789767567216822524509307779250204983551429213791107932957166581434644890426988090302661172536864772938094552788386232242044947782405157429008368192073663951594129377676752306905041733416517122507652313240587554617250337508737466749142455332827859556080609592971327915921976414897414103328089640910405224692254001370474817181338600658683188149268215440111576616804026782469078580075278163035385301354208954742090806396419312598674668782737577467445931682124259183904307994197406247889 ct_2 = 475431757150415548038120878675026605258081422958849322189947529651864550511016854432752841608067858620795144603286556404827027829790131339932716728168413658428417455936312330389421287814427992302961543375036809563812960151703062899930161470602633031599828887098914730417799654684023064362771853376591221374617439483919394574339804160488928252982891682671342232959007865677713493662084854838321612782206385687329676060126776093320146302404930844788632687207893577657763961310494363939265885733023621969573701702862867184316968075660702024069750913111874157011920933780381567012981148057478008081618456449117864142394 # product of all moduli N_012 = n_0 * n_1 * n_2 # n1 * n2 m_s_0 = n_1 * n_2 # n0 * n2 m_s_1 = n_0 * n_2 # n0 * n1 m_s_2 = n_0 * n_1 crt = libnum.solve_crt([ct_0,ct_1,ct_2], [n_0,n_1,n_2]) c_0 = crt % n_0 c_1 = crt % n_1 c_2 = crt % n_2 result = ((c_0 * m_s_0 * libnum.invmod(m_s_0, n_0)) + (c_1 * m_s_1 * libnum.invmod(m_s_1, n_1)) + (c_2 * m_s_2 * libnum.invmod(m_s_2, n_2))) % N_012 pt = libnum.nroot(result, 3) print(libnum.n2s(pt))
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27bcac306ec8a347d6571a77521ca9c03efc5f76
466
py
Python
regression/__init__.py
sahitpj/MachineLearning
2ce5a337ec432daff64a216df6847ef834bcb8d7
[ "MIT" ]
2
2019-01-23T15:51:29.000Z
2019-02-01T16:50:33.000Z
regression/__init__.py
sahitpj/MachineLearning
2ce5a337ec432daff64a216df6847ef834bcb8d7
[ "MIT" ]
null
null
null
regression/__init__.py
sahitpj/MachineLearning
2ce5a337ec432daff64a216df6847ef834bcb8d7
[ "MIT" ]
null
null
null
from .linear_np import normalEquationRegression, gradientDescentRegression, gradientDescentAutogradRegression from .linear_torch import TorchNormalEquationRegression, TorchGradientDescentRegression, TorchGradientDescentAutogradRegression from .cordinate import coordinateDescent from .lasso import coordinateDescentLASSO, coordinateDescentLASSOAutoGrad from .ridge import normalEquationRidgeRegression, TorchridgeRegression from .sgd import stochasticGradientDescent
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5
fdab267cdfbb07b5dc70dc066366b8ec8f7f5694
167
py
Python
shadowsocks_manager/dynamicmethod/views.py
alexzhangs/shadowsocks-manager
211be82a796ee124075687b99c3af5018d6cca2c
[ "MIT" ]
5
2019-09-26T10:47:12.000Z
2022-03-31T10:33:27.000Z
shadowsocks_manager/dynamicmethod/views.py
alexzhangs/shadowsocks-manager
211be82a796ee124075687b99c3af5018d6cca2c
[ "MIT" ]
4
2019-09-26T10:53:53.000Z
2021-04-03T18:14:19.000Z
shadowsocks_manager/singleton/views.py
alexzhangs/shadowsocks-manager
211be82a796ee124075687b99c3af5018d6cca2c
[ "MIT" ]
1
2021-03-30T07:25:27.000Z
2021-03-30T07:25:27.000Z
# -*- coding: utf-8 -*- # py2.7 and py3 compatibility imports from __future__ import unicode_literals from django.shortcuts import render # Create your views here.
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fdcf4a6b529b80ac1a9149d44f52f27983124c94
782
py
Python
{{cookiecutter.repo_name}}/tests/test_{{cookiecutter.repo_name}}.py
LSSTDESC/desc_package_template
d796c30055916d6039b2e9c565c9aa75aa360e41
[ "BSD-3-Clause" ]
2
2016-05-16T17:38:33.000Z
2016-09-12T21:58:41.000Z
{{cookiecutter.repo_name}}/tests/test_{{cookiecutter.repo_name}}.py
LSSTDESC/desc_package_template
d796c30055916d6039b2e9c565c9aa75aa360e41
[ "BSD-3-Clause" ]
5
2017-02-07T17:32:46.000Z
2018-06-18T23:28:15.000Z
{{cookiecutter.repo_name}}/tests/test_{{cookiecutter.repo_name}}.py
DarkEnergyScienceCollaboration/desc_package_template
d796c30055916d6039b2e9c565c9aa75aa360e41
[ "BSD-3-Clause" ]
4
2017-12-05T12:38:26.000Z
2020-10-01T17:14:45.000Z
""" Example unit tests for {{cookiecutter.repo_name}} package """ import unittest import desc.{{cookiecutter.repo_name|lower}} class {{cookiecutter.repo_name}}TestCase(unittest.TestCase): def setUp(self): self.message = 'Hello, world' def tearDown(self): pass def test_run(self): foo = desc.{{cookiecutter.repo_name|lower}}.{{cookiecutter.repo_name}}(self.message) self.assertEqual(foo.run(), self.message) def test_failure(self): self.assertRaises(TypeError, desc.{{cookiecutter.repo_name|lower}}.{{cookiecutter.repo_name}}) foo = desc.{{cookiecutter.repo_name|lower}}.{{cookiecutter.repo_name}}(self.message) self.assertRaises(RuntimeError, foo.run, True) if __name__ == '__main__': unittest.main()
31.28
102
0.689258
92
782
5.652174
0.358696
0.276923
0.346154
0.184615
0.407692
0.351923
0.351923
0.351923
0.257692
0.257692
0
0
0.161125
782
24
103
32.583333
0.792683
0
0
0.125
0
0
0.027894
0
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0
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0
0.1875
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null
null
0.0625
0.125
null
null
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null
1
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1
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null
0
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1
0
0
1
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0
0
0
0
5
fdf645dc3f87ab3b3a14f2345bff8e7943771578
54
py
Python
sso_tools/lightcurves/__init__.py
dirac-institute/sso_tools
e07e057a23ea83d39bf2cf16af2b1353dd829837
[ "MIT" ]
1
2018-11-08T23:13:22.000Z
2018-11-08T23:13:22.000Z
sso_tools/lightcurves/__init__.py
dirac-institute/sso_tools
e07e057a23ea83d39bf2cf16af2b1353dd829837
[ "MIT" ]
null
null
null
sso_tools/lightcurves/__init__.py
dirac-institute/sso_tools
e07e057a23ea83d39bf2cf16af2b1353dd829837
[ "MIT" ]
1
2021-12-16T03:40:44.000Z
2021-12-16T03:40:44.000Z
""" sso_tools.lightcurve """ from .lc_utils import *
9
23
0.685185
7
54
5
1
0
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0.148148
54
5
24
10.8
0.76087
0.37037
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0
1
0
1
0
1
0
0
5
e382ff548504662cd017b1f046f8af9fb5e558a8
104
py
Python
logica-de-programacao/aula2.py
agnaldom/impactar-ads
2f50ccedc2f8a8d61e0877dd1226cea68d426069
[ "MIT" ]
null
null
null
logica-de-programacao/aula2.py
agnaldom/impactar-ads
2f50ccedc2f8a8d61e0877dd1226cea68d426069
[ "MIT" ]
null
null
null
logica-de-programacao/aula2.py
agnaldom/impactar-ads
2f50ccedc2f8a8d61e0877dd1226cea68d426069
[ "MIT" ]
null
null
null
N1 = int(input("Digite o primeiro numero: ")) N2 = int(input("Digite o segundo numero:")) print(N1+N2)
20.8
45
0.673077
17
104
4.117647
0.588235
0.228571
0.4
0.428571
0
0
0
0
0
0
0
0.044944
0.144231
104
4
46
26
0.741573
0
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0
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0
0.480769
0
0
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0
0
0
1
0
false
0
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0.333333
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null
1
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0
0
5
8b8264b65e149f6f1e170c92827fec4e784a84ac
212
py
Python
tests/modules/contrib/test_octoprint.py
spxtr/bumblebee-status
45125f39af8323775aeabf809ae5ae80cfe3ccd9
[ "MIT" ]
1,089
2016-11-06T10:02:53.000Z
2022-03-26T12:53:30.000Z
tests/modules/contrib/test_octoprint.py
spxtr/bumblebee-status
45125f39af8323775aeabf809ae5ae80cfe3ccd9
[ "MIT" ]
817
2016-11-05T05:42:39.000Z
2022-03-25T19:43:52.000Z
tests/modules/contrib/test_octoprint.py
spxtr/bumblebee-status
45125f39af8323775aeabf809ae5ae80cfe3ccd9
[ "MIT" ]
317
2016-11-05T00:35:06.000Z
2022-03-24T13:35:03.000Z
import pytest pytest.importorskip("tkinter") pytest.importorskip("PIL") pytest.importorskip("requests") pytest.importorskip("simplejson") def test_load_module(): __import__("modules.contrib.octoprint")
15.142857
43
0.773585
22
212
7.181818
0.636364
0.455696
0
0
0
0
0
0
0
0
0
0
0.089623
212
13
44
16.307692
0.818653
0
0
0
0
0
0.251185
0.118483
0
0
0
0
0
1
0.142857
true
0
0.857143
0
1
0.142857
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
8bb3c2551969df8414b955b0c6ef312c7604fe13
263
py
Python
mappers/MoneyAmountMapper.py
NikolaySohryakov/tinkoff_invest
58e2bf88e821046d2884468164b822847f844171
[ "MIT" ]
null
null
null
mappers/MoneyAmountMapper.py
NikolaySohryakov/tinkoff_invest
58e2bf88e821046d2884468164b822847f844171
[ "MIT" ]
null
null
null
mappers/MoneyAmountMapper.py
NikolaySohryakov/tinkoff_invest
58e2bf88e821046d2884468164b822847f844171
[ "MIT" ]
null
null
null
from portfolio import MoneyAmount class MoneyAmountMapper: @staticmethod def map(tinkoff_money_amount) -> MoneyAmount: return MoneyAmount(value=tinkoff_money_amount.value, currency=tinkoff_money_amount.currency.value)
29.222222
72
0.718631
26
263
7.038462
0.576923
0.196721
0.295082
0
0
0
0
0
0
0
0
0
0.224335
263
8
73
32.875
0.897059
0
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0.166667
0.666667
0
1
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0
null
0
1
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0
0
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null
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0
0
0
0
0
1
1
0
0
5
4737dcb1b28eb674075a19908a88e16401989558
96
py
Python
dtr_code/shared/torch_models/lstm/__init__.py
uwsampl/dtr-prototype
eff53cc4804cc7d6246a6e5086861ce2b846f62b
[ "Linux-OpenIB" ]
90
2020-06-18T05:32:06.000Z
2022-03-28T13:05:17.000Z
dtr_code/shared/torch_models/lstm/__init__.py
merrymercy/dtr-prototype
bf40e182453a7d8d23581ea68f32a9d7d2037d62
[ "Linux-OpenIB" ]
5
2020-07-02T02:25:16.000Z
2022-03-24T05:50:30.000Z
dtr_code/shared/torch_models/lstm/__init__.py
uwsampl/dtr-prototype
eff53cc4804cc7d6246a6e5086861ce2b846f62b
[ "Linux-OpenIB" ]
13
2020-06-27T07:01:54.000Z
2022-01-18T07:31:01.000Z
from .model import LSTMClassifier, GRUClassifier, LSTM, LSTMCell from .data_processing import *
32
64
0.822917
11
96
7.090909
0.818182
0
0
0
0
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0.114583
96
2
65
48
0.917647
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true
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null
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1
0
1
0
1
0
0
5
474cc72ba788d5f9593532d306d16c48e853a78f
37
py
Python
src/overwatch/__init__.py
siddk/mnist-vae-scaling
2a0a0700f73bad9b35cf32b3a2e0041dd456d7ec
[ "MIT" ]
3
2022-01-29T20:10:42.000Z
2022-02-11T21:28:31.000Z
src/overwatch/__init__.py
siddk/mnist-vae-scaling
2a0a0700f73bad9b35cf32b3a2e0041dd456d7ec
[ "MIT" ]
null
null
null
src/overwatch/__init__.py
siddk/mnist-vae-scaling
2a0a0700f73bad9b35cf32b3a2e0041dd456d7ec
[ "MIT" ]
2
2022-01-31T03:38:06.000Z
2022-02-11T21:28:39.000Z
from .overwatch import get_overwatch
18.5
36
0.864865
5
37
6.2
0.8
0
0
0
0
0
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0
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0.108108
37
1
37
37
0.939394
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true
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0
1
0
1
0
0
0
0
5
4753fa7bdcddd6a61cfedbb496adf14907e449f9
116
py
Python
ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/transformations/constantfolding/data/wrong_assoc/out_1.py
JetBrains-Research/ast-transformations
0ab408af3275b520cc87a473f418c4b4dfcb0284
[ "MIT" ]
8
2021-01-19T21:15:54.000Z
2022-02-23T19:16:25.000Z
ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/transformations/constantfolding/data/wrong_assoc/out_1.py
JetBrains-Research/ast-transformations
0ab408af3275b520cc87a473f418c4b4dfcb0284
[ "MIT" ]
4
2020-11-17T14:28:25.000Z
2022-02-24T07:54:28.000Z
ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/transformations/constantfolding/data/wrong_assoc/out_1.py
nbirillo/ast-transformations
717706765a2da29087a0de768fc851698886dd65
[ "MIT" ]
1
2022-02-23T19:16:30.000Z
2022-02-23T19:16:30.000Z
x = int(input()) _ = ((x) + (3)) _ = ((x) * (6)) _ = ((x) & (2)) _ = ((x) ^ (1)) _ = ((x) | (3)) _ = ((x) + (10))
11.6
16
0.241379
15
116
1.466667
0.533333
0.181818
0.272727
0
0
0
0
0
0
0
0
0.08642
0.301724
116
9
17
12.888889
0.185185
0
0
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0
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0
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0
0
0
1
0
false
0
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1
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1
null
0
1
0
0
0
0
0
0
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0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
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0
0
0
0
0
0
0
0
0
0
5
47b02f702a0f316794bb13f7bc16bdc773c18238
53
py
Python
carberretta/bot/__init__.py
namanyt/Carberretta
182733caeff3da475f052bfc7fa6090244d5f2dc
[ "BSD-3-Clause" ]
21
2020-09-30T11:15:40.000Z
2022-03-11T09:46:48.000Z
carberretta/bot/__init__.py
namanyt/Carberretta
182733caeff3da475f052bfc7fa6090244d5f2dc
[ "BSD-3-Clause" ]
110
2020-09-27T14:37:05.000Z
2021-12-17T17:21:33.000Z
carberretta/bot/__init__.py
namanyt/Carberretta
182733caeff3da475f052bfc7fa6090244d5f2dc
[ "BSD-3-Clause" ]
26
2020-09-21T19:38:12.000Z
2022-02-08T18:41:58.000Z
from carberretta import Config from .bot import Bot
13.25
30
0.811321
8
53
5.375
0.625
0
0
0
0
0
0
0
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0
0
0
0.169811
53
3
31
17.666667
0.977273
0
0
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1
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true
0
1
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null
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0
0
1
0
1
0
1
0
0
5
47bc574b7e9df5df4b14b50fa26a74c49b301073
887
py
Python
selenium_chrome/chrome_addons/ublock_origin_addon_settings.py
kkristof200/selenium_chrome
1bb1f2ac6c0254704607f6f28d80029546043c11
[ "MIT" ]
3
2021-07-27T05:22:42.000Z
2022-03-21T10:55:32.000Z
selenium_chrome/chrome_addons/ublock_origin_addon_settings.py
kkristof200/selenium_chrome
1bb1f2ac6c0254704607f6f28d80029546043c11
[ "MIT" ]
null
null
null
selenium_chrome/chrome_addons/ublock_origin_addon_settings.py
kkristof200/selenium_chrome
1bb1f2ac6c0254704607f6f28d80029546043c11
[ "MIT" ]
1
2021-11-24T07:34:35.000Z
2021-11-24T07:34:35.000Z
# ------------------------------------------------------------ Imports ----------------------------------------------------------- # # Local from .builtin_addon_install_settings import BuiltinAddonInstallSettings # -------------------------------------------------------------------------------------------------------------------------------- # # ----------------------------------------------- class: UBlockOriginAddonSettings ----------------------------------------------- # class UBlockOriginAddonSettings(BuiltinAddonInstallSettings): # --------------------------------------------------- Public properties -------------------------------------------------- # _name = 'ublock_origin' _id = 'cjpalhdlnbpafiamejdnhcphjbkeiagm' # -------------------------------------------------------------------------------------------------------------------------------- #
44.35
132
0.264938
21
887
10.904762
0.857143
0.262009
0
0
0
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0.067644
887
20
133
44.35
0.276904
0.728298
0
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0.196507
0.139738
0
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false
0
0.25
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null
1
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null
0
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0
0
0
0
0
0
1
0
0
5
47cf6d9349b4800d1b2ce921e0a9646471204ede
104
py
Python
shortener/admin.py
Shegami/project-1
9fca866cad831923c048543b765d0e364522f005
[ "MIT" ]
null
null
null
shortener/admin.py
Shegami/project-1
9fca866cad831923c048543b765d0e364522f005
[ "MIT" ]
null
null
null
shortener/admin.py
Shegami/project-1
9fca866cad831923c048543b765d0e364522f005
[ "MIT" ]
null
null
null
from django.contrib import admin from shortener.models import Shortener admin.site.register(Shortener)
20.8
38
0.846154
14
104
6.285714
0.642857
0
0
0
0
0
0
0
0
0
0
0
0.096154
104
4
39
26
0.93617
0
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1
0
true
0
0.666667
0
0.666667
0
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null
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null
0
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0
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0
0
1
0
1
0
1
0
0
5
9a0387b6dcbe78f7d978b9de4ec0396588ef3bf5
4,670
py
Python
src/backend/tasks_io/datafeeds/parsers/fms_api/tests/fms_api_event_rankings_parser_test.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
null
null
null
src/backend/tasks_io/datafeeds/parsers/fms_api/tests/fms_api_event_rankings_parser_test.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
null
null
null
src/backend/tasks_io/datafeeds/parsers/fms_api/tests/fms_api_event_rankings_parser_test.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
null
null
null
import json from google.cloud import ndb from backend.tasks_io.datafeeds.parsers.fms_api.fms_api_event_rankings_parser import ( FMSAPIEventRankingsParser, ) def test_parse_event_rankings_none(test_data_importer, ndb_client: ndb.Client): path = test_data_importer._get_path(__file__, "data/2015miket_rankings_none.json") with open(path, "r") as f: data = json.load(f) with ndb_client.context(): rankings = FMSAPIEventRankingsParser(2015).parse(data) assert rankings is None def test_parse_event_rankings_2015(test_data_importer, ndb_client: ndb.Client): path = test_data_importer._get_path(__file__, "data/2015miket_rankings.json") with open(path, "r") as f: data = json.load(f) with ndb_client.context(): rankings = FMSAPIEventRankingsParser(2015).parse(data) assert rankings is not None assert len(rankings) == 41 # Spot check rankings one = rankings[0] assert one is not None assert one == { "dq": 0, "matches_played": 12, "qual_average": 76.83, "rank": 1, "record": None, "sort_orders": [76.83, 160.0, 12.0, 348.0, 262.0, 140.0], "team_key": "frc314", } ten = rankings[9] assert ten is not None assert ten == { "dq": 0, "matches_played": 12, "qual_average": 42.5, "rank": 10, "record": None, "sort_orders": [42.5, 40.0, 56.0, 116.0, 146.0, 158.0], "team_key": "frc5282", } def test_parse_event_rankings_2016(test_data_importer, ndb_client: ndb.Client): path = test_data_importer._get_path(__file__, "data/2016miket_rankings.json") with open(path, "r") as f: data = json.load(f) with ndb_client.context(): rankings = FMSAPIEventRankingsParser(2016).parse(data) assert rankings is not None assert len(rankings) == 40 # Spot check rankings one = rankings[0] assert one is not None assert one == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 1, "record": {"losses": 2, "ties": 0, "wins": 10}, "sort_orders": [33.0, 166.0, 130.0, 99.0, 625.0, 0.48], "team_key": "frc5150", } ten = rankings[9] assert ten is not None assert ten == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 10, "record": {"losses": 5, "ties": 0, "wins": 7}, "sort_orders": [23.0, 236.0, 125.0, 113.0, 595.0, 0.13], "team_key": "frc3535", } def test_parse_event_rankings_2017(test_data_importer, ndb_client: ndb.Client): path = test_data_importer._get_path(__file__, "data/2017miket_rankings.json") with open(path, "r") as f: data = json.load(f) with ndb_client.context(): rankings = FMSAPIEventRankingsParser(2017).parse(data) assert rankings is not None assert len(rankings) == 38 # Spot check rankings one = rankings[0] assert one is not None assert one == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 1, "record": {"losses": 2, "ties": 0, "wins": 10}, "sort_orders": [1.66, 2661.0, 629.0, 1320.0, 950.0, 6.0], "team_key": "frc2619", } ten = rankings[9] assert ten is not None assert ten == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 10, "record": {"losses": 5, "ties": 0, "wins": 7}, "sort_orders": [1.16, 2695.0, 395.0, 1400.0, 1050.0, 5.0], "team_key": "frc5150", } def test_parse_event_rankings_2020(test_data_importer, ndb_client: ndb.Client): path = test_data_importer._get_path(__file__, "data/2020miket_rankings.json") with open(path, "r") as f: data = json.load(f) with ndb_client.context(): rankings = FMSAPIEventRankingsParser(2020).parse(data) assert rankings is not None assert len(rankings) == 40 # Spot check rankings one = rankings[0] assert one is not None assert one == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 1, "record": {"losses": 0, "ties": 0, "wins": 12}, "sort_orders": [2.5, 485.0, 620.0, 350.0, 0.0, 0.0], "team_key": "frc2337", } ten = rankings[9] assert ten is not None assert ten == { "dq": 0, "matches_played": 12, "qual_average": None, "rank": 10, "record": {"losses": 3, "ties": 1, "wins": 8}, "sort_orders": [1.5, 361.0, 255.0, 239.0, 0.0, 0.0], "team_key": "frc5641", }
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5
d0347bba5b4656895e282c77ae2d5f51b8a515c3
51
py
Python
opendatatools/datayes/__init__.py
solider245/OpenData
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
[ "Apache-2.0" ]
1,179
2018-05-28T07:14:41.000Z
2022-03-27T16:03:51.000Z
opendatatools/datayes/__init__.py
taoyeah/OpenData
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
[ "Apache-2.0" ]
42
2018-07-05T02:44:56.000Z
2022-03-29T12:12:30.000Z
opendatatools/datayes/__init__.py
taoyeah/OpenData
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
[ "Apache-2.0" ]
297
2018-05-28T07:39:38.000Z
2022-03-28T02:35:59.000Z
# encoding: utf-8 from .datayes_interface import *
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d08c7a9d21a57dec9d106eb185131ad27a7c7b01
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py
Python
myfav/admin.py
MahoMori/my_fav_list
47b2b6f95353868fe7e6db73e625d74d43c7d85d
[ "MIT" ]
null
null
null
myfav/admin.py
MahoMori/my_fav_list
47b2b6f95353868fe7e6db73e625d74d43c7d85d
[ "MIT" ]
null
null
null
myfav/admin.py
MahoMori/my_fav_list
47b2b6f95353868fe7e6db73e625d74d43c7d85d
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import Myfav # Register your models here. admin.site.register(Myfav)
19.333333
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0.801724
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5.470588
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5
d09fa320c70da7d72030bdd3e92abb6b326d8b9d
559
py
Python
2016_ENSG_PYTHON_COURS/transformations/__init__.py
yoyonel/2016_ENSG_PYTHON_COURS
dcac5bdaf4e203f6cebf2e015d8b06fb937564c0
[ "MIT" ]
null
null
null
2016_ENSG_PYTHON_COURS/transformations/__init__.py
yoyonel/2016_ENSG_PYTHON_COURS
dcac5bdaf4e203f6cebf2e015d8b06fb937564c0
[ "MIT" ]
1
2016-09-04T08:53:26.000Z
2016-09-04T08:53:26.000Z
2016_ENSG_PYTHON_COURS/transformations/__init__.py
yoyonel/2016_ENSG_PYTHON_COURS
dcac5bdaf4e203f6cebf2e015d8b06fb937564c0
[ "MIT" ]
null
null
null
# Python 2 and 3: # To make Py2 code safer (more like Py3) by preventing # implicit relative imports, you can also add this to the top: # from __future__ import absolute_import # from transformations import quaternion_from_euler, quaternion_matrix, euler_matrix # from transformations import euler_matrix try: from transformations import euler_matrix except ImportError: # url: https://docs.python.org/3/reference/import.html from .transformations import euler_matrix # url: http://pythoncentral.io/how-to-create-a-python-package/
37.266667
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5
d0ba6b298b8b57a5b3cbf2349eed6715a94a3e27
11,934
py
Python
tests/band_tests.py
fortyninemaps/karta
b35d8cbcfb62e9f1d826a5c73605d34a0c0990b6
[ "MIT" ]
84
2016-03-18T15:42:02.000Z
2022-02-20T15:12:28.000Z
tests/band_tests.py
fortyninemaps/karta
b35d8cbcfb62e9f1d826a5c73605d34a0c0990b6
[ "MIT" ]
21
2016-03-06T01:47:38.000Z
2019-01-13T20:33:52.000Z
tests/band_tests.py
fortyninemaps/karta
b35d8cbcfb62e9f1d826a5c73605d34a0c0990b6
[ "MIT" ]
12
2016-03-18T15:33:53.000Z
2022-03-02T08:18:22.000Z
import unittest import numpy as np import numpy.testing as npt from karta.raster import SimpleBand, CompressedBand from karta.raster.band import BandIndexer class GenericBandTests(object): """ Tests that all Band classes must pass """ def test_get_dtype(self): band = self.type((64, 64), np.float64, **self.initkwargs) self.assertEqual(band.dtype, np.float64) #def test_setblock_getblock_striped(self): # x, y = np.meshgrid(np.arange(832), np.arange(1024)) # d = (x**2+np.sqrt(y))[::2, ::3] # band = self.type((1024, 1024), np.float64, **self.initkwargs) # bi = BandIndexer([band]) # bi[::2, 128:960:3, 0] = d # self.assertEqual(np.sum(bi[::2, 128:960:3, 0]-d), 0.0) def test_setblock_getblock_full(self): x, y = np.meshgrid(np.arange(1024), np.arange(1024)) d = x**2+np.sqrt(y) band = self.type((1024, 1024), np.float64, **self.initkwargs) band.setblock(0, 0, d) self.assertEqual(np.sum(band.getblock(0, 0, 1024, 1024) - d), 0.0) def test_setblock_getblock_partial(self): x, y = np.meshgrid(np.arange(1024), np.arange(832)) d = x**2+np.sqrt(y) band = self.type((1024, 1024), np.float64, **self.initkwargs) band.setblock(128, 0, d) self.assertEqual(np.sum(band.getblock(128, 0, 832, 1024) - d), 0.0) def test_get_scalar(self): x, y = np.meshgrid(np.arange(1024), np.arange(1024)) d = x**2+np.sqrt(y) band = self.type((1024, 1024), np.float64, **self.initkwargs) band.setblock(0, 0, d) self.assertTrue(band.getblock(4, 3, 1, 1).shape, (1, 1)) self.assertEqual(band.getblock(4, 3, 1, 1)[0], 11.0) def test_initval(self): band = self.type((1024, 1024), np.float64, initval=0.0) self.assertTrue(band is not None) class SimpleBandTests(unittest.TestCase, GenericBandTests): def setUp(self): self.type = SimpleBand self.initkwargs = dict() class CompressedBandTests(unittest.TestCase, GenericBandTests): def setUp(self): self.type = CompressedBand self.initkwargs = dict(chunksize=(256, 256)) class BandIndexerTests(unittest.TestCase): def test_get_set_typeerror(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer = BandIndexer(bands) with self.assertRaises(TypeError): indexer[None] with self.assertRaises(TypeError): indexer[None] = 3.0 def test_get_masked(self): values = np.ones([16, 16]) band = CompressedBand((16, 16), np.float32) band.setblock(0, 0, values) indexer = BandIndexer([band]) mask = np.zeros([16, 16], dtype=np.bool) mask[8:, 2:] = True self.assertEqual(np.sum(indexer[mask]), 112) def test_set_masked(self): values = np.ones([16, 16]) band = CompressedBand((16, 16), np.float32) band.setblock(0, 0, values) indexer = BandIndexer([band]) mask = np.zeros([16, 16], dtype=np.bool) mask[8:, 2:] = True indexer[mask] = -1 self.assertEqual(np.sum(indexer[:,:]), 32) def test_get_errors(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer = BandIndexer(bands) with self.assertRaises(TypeError): indexer["a", 0, 0] with self.assertRaises(TypeError): indexer[0, [1, 3], 0] with self.assertRaises(TypeError): indexer[0, 0, None] def test_set_errors(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer = BandIndexer(bands) with self.assertRaises(TypeError): indexer["a", 0, 0] = 1.0 with self.assertRaises(TypeError): indexer[0, [1, 3], 0] = 1.0 with self.assertRaises(TypeError): indexer[0, 0, None] = 1.0 def test_get_integer(self): values = np.ones([16, 16]) bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) result = indexer[10,2] npt.assert_equal(result, np.array([1.0, 2.0, 3.0])) result = indexer[10,2,:] npt.assert_equal(result, np.array([1.0, 2.0, 3.0])) # make sure it works with a scalar band index result = indexer[10,2,1] self.assertEqual(result, 2.0) def test_set_integer(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer = BandIndexer(bands) indexer[3,4,0] = -1.0 self.assertEqual(bands[0].getblock(3, 4, 1, 1)[0], -1.0) indexer[4,5,:] = np.array([1.0, 2.0, 3.0]) self.assertEqual(bands[0].getblock(4, 5, 1, 1)[0], 1.0) self.assertEqual(bands[1].getblock(4, 5, 1, 1)[0], 2.0) self.assertEqual(bands[2].getblock(4, 5, 1, 1)[0], 3.0) indexer[5,6,:] = 5.0 self.assertEqual(bands[0].getblock(5, 6, 1, 1)[0], 5.0) self.assertEqual(bands[1].getblock(5, 6, 1, 1)[0], 5.0) self.assertEqual(bands[2].getblock(5, 6, 1, 1)[0], 5.0) def test_get_slice(self): values = np.ones([16, 16]) bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) result = indexer[4:7,2:8,:] self.assertEqual(result.shape, (3, 6, 3)) npt.assert_equal(result[0,0,:], np.array([1.0, 2.0, 3.0])) result = indexer[12:] self.assertEqual(result.shape, (4, 16, 3)) npt.assert_equal(result[0,0,:], np.array([1.0, 2.0, 3.0])) # make sure it works with a scalar band index result = indexer[4:7,2:8,1] self.assertEqual(result.shape, (3, 6)) npt.assert_equal(result, 2.0) def test_set_slice(self): values = np.ones([16, 16]) bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer = BandIndexer(bands) indexer[:,:,0] = values indexer[:,:,1:] = 2*values npt.assert_equal(bands[0].getblock(0, 0, 16, 16), 1.0) npt.assert_equal(bands[1].getblock(0, 0, 16, 16), 2.0) npt.assert_equal(bands[2].getblock(0, 0, 16, 16), 2.0) indexer[:,:,1:] = np.dstack([2*values, 3*values]) npt.assert_equal(bands[1].getblock(0, 0, 16, 16), 2.0) npt.assert_equal(bands[2].getblock(0, 0, 16, 16), 3.0) def test_get_mask2(self): values = np.ones([3, 3]) bands = [CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) mask = np.array([[True, False, False], [False, True, False], [False, False, True]]) result = indexer[mask] npt.assert_equal(np.tile(np.array([1, 2, 3]), (3, 1)), result) def test_set_mask2(self): values = np.ones([3, 3]) bands = [CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) mask = np.array([[True, False, False], [False, True, False], [False, False, True]]) indexer[mask] = -1 for band in bands: self.assertEqual(band.getblock(0, 0, 1, 1)[0], -1.0) self.assertEqual(band.getblock(1, 1, 1, 1)[0], -1.0) self.assertEqual(band.getblock(2, 2, 1, 1)[0], -1.0) def test_get_mask3(self): values = np.ones([3, 3]) bands = [CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) # Create mask in band, row, column order than use np.moveaxis to put in # row, column, band order for karta mask = np.array([ [[True, False, False], [False, True, False], [False, False, True]], [[False, False, False], [False, False, False], [False, True, False]], [[True, False, False], [False, False, False], [True, False, True]]]) result = indexer[np.moveaxis(mask, 0, -1)] expected = np.array([1, 3, 1, 3, 2, 1, 3]) npt.assert_equal(expected, result) def test_set_mask3(self): values = np.ones([3, 3]) bands = [CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32), CompressedBand((3, 3), np.float32)] bands[0].setblock(0, 0, values) bands[1].setblock(0, 0, 2*values) bands[2].setblock(0, 0, 3*values) indexer = BandIndexer(bands) # Create mask in band, row, column order than use np.moveaxis to put in # row, column, band order for karta mask = np.array([ [[True, False, False], [False, True, False], [False, False, True]], [[False, False, False], [False, False, False], [False, True, False]], [[True, False, False], [False, False, False], [True, False, True]]]) indexer[np.moveaxis(mask, 0, -1)] = -1 self.assertEqual(bands[0].getblock(0, 0, 1, 1)[0], -1) self.assertEqual(bands[1].getblock(2, 1, 1, 1)[0], -1) self.assertEqual(bands[2].getblock(0, 0, 1, 1)[0], -1) self.assertEqual(bands[2].getblock(2, 0, 1, 1)[0], -1) def test_set_masked_scalar(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] mask = np.zeros([16, 16], dtype=np.bool) mask[8:, 2:] = True indexer = BandIndexer(bands) indexer[:,:] = np.zeros([16, 16]) indexer[mask] = 1.0 self.assertEqual(np.sum(indexer[:,:]), 336) def test_set_masked_array(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] mask = np.zeros([16, 16], dtype=np.bool) mask[8:, 2:] = True indexer = BandIndexer(bands) indexer[:,:,:] = np.zeros([16, 16]) indexer[mask] = np.ones(8*14) self.assertEqual(np.sum(indexer[:,:]), 336) def test_shape(self): bands = [CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32), CompressedBand((16, 16), np.float32)] indexer1 = BandIndexer([bands[0]]) self.assertEqual(indexer1.shape, (16, 16)) indexer3 = BandIndexer(bands) self.assertEqual(indexer3.shape, (16, 16)) if __name__ == "__main__": unittest.main()
36.72
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0.663045
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11,934
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36.833333
0.664481
0.054131
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0
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false
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5
d0e08fef7db0aa0eae62403c31493b13afe5d107
85
py
Python
dzprojects/users/admin.py
Aniter-amine/Projects-Posting
f7ea6739d9cf179963123ef7a11cbf95f9886d48
[ "Apache-2.0" ]
null
null
null
dzprojects/users/admin.py
Aniter-amine/Projects-Posting
f7ea6739d9cf179963123ef7a11cbf95f9886d48
[ "Apache-2.0" ]
null
null
null
dzprojects/users/admin.py
Aniter-amine/Projects-Posting
f7ea6739d9cf179963123ef7a11cbf95f9886d48
[ "Apache-2.0" ]
null
null
null
from django.contrib import admin from .models import Prof admin.site.register(Prof)
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5.307692
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1
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5
d0f54ba78e6f76b851151df030573a53d4d19bba
82
py
Python
dbops_venv/lib/python3.5/site-packages/alembic/autogenerate/__init__.py
fractal520/dbops
20c6b6b5669e09b43cd19e6f3fa0448bc7d5eaac
[ "MIT" ]
15
2016-02-24T06:32:57.000Z
2020-06-17T05:06:36.000Z
dbops_venv/lib/python3.5/site-packages/alembic/autogenerate/__init__.py
fractal520/dbops
20c6b6b5669e09b43cd19e6f3fa0448bc7d5eaac
[ "MIT" ]
5
2015-01-05T14:32:59.000Z
2015-09-29T10:27:27.000Z
dbops_venv/lib/python3.5/site-packages/alembic/autogenerate/__init__.py
fractal520/dbops
20c6b6b5669e09b43cd19e6f3fa0448bc7d5eaac
[ "MIT" ]
6
2015-01-06T17:02:01.000Z
2016-11-11T02:50:27.000Z
from .api import compare_metadata, _produce_migration_diffs, _produce_net_changes
41
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0.890244
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0.909091
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0.073171
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1
82
82
0.868421
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1
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1
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0
5
d0f9d26dcef50e14072b755c1967676c34630937
55
py
Python
pypy/module/micronumpy/test/__init__.py
olliemath/pypy
8b873bd0b8bf76075aba3d915c260789f26f5788
[ "Apache-2.0", "OpenSSL" ]
1
2021-06-02T23:02:09.000Z
2021-06-02T23:02:09.000Z
pypy/module/micronumpy/test/__init__.py
olliemath/pypy
8b873bd0b8bf76075aba3d915c260789f26f5788
[ "Apache-2.0", "OpenSSL" ]
1
2021-03-30T18:08:41.000Z
2021-03-30T18:08:41.000Z
pypy/module/micronumpy/test/__init__.py
olliemath/pypy
8b873bd0b8bf76075aba3d915c260789f26f5788
[ "Apache-2.0", "OpenSSL" ]
1
2022-03-30T11:42:37.000Z
2022-03-30T11:42:37.000Z
import py # XXX py.test.py3k_skip('not yet supported')
18.333333
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0.745455
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0.9
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0.127273
55
2
45
27.5
0.8125
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1
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5
efe0451a020640fecd85019e37ba94459763b794
120
py
Python
cars/admin.py
gsong/django-postgres-docker
95a71eb3d1ca978246aa47944f79e0531516709a
[ "MIT" ]
null
null
null
cars/admin.py
gsong/django-postgres-docker
95a71eb3d1ca978246aa47944f79e0531516709a
[ "MIT" ]
4
2021-04-08T20:41:57.000Z
2021-09-22T19:40:52.000Z
cars/admin.py
gsong/django-postgres-docker
95a71eb3d1ca978246aa47944f79e0531516709a
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import Car, Driver admin.site.register(Car) admin.site.register(Driver)
17.142857
32
0.8
18
120
5.333333
0.555556
0.1875
0.354167
0
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0
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0.108333
120
6
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20
0.897196
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1
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true
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null
0
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0
0
1
0
1
0
0
0
0
5
eff084041b495172b12b7c78e946ea73ca78cc27
314
py
Python
tests/test_point.py
sdeu/pyrt
528d0c48fc49aa52956863bf9c0efff6913efc18
[ "MIT" ]
null
null
null
tests/test_point.py
sdeu/pyrt
528d0c48fc49aa52956863bf9c0efff6913efc18
[ "MIT" ]
4
2021-03-22T19:59:10.000Z
2022-03-12T00:59:42.000Z
tests/test_point.py
sdeu/pyrt
528d0c48fc49aa52956863bf9c0efff6913efc18
[ "MIT" ]
null
null
null
from pyrt.point import Point3 from pyrt.vec3 import Vec3 def test_point_point_addition(): assert isinstance(Point3(0, 0, 0) + Point3(0, 0, 0), Vec3) def test_point_vec_addition(): assert isinstance(Point3(0, 0, 0) + Vec3(0, 0, 0), Point3) assert isinstance(Vec3(0, 0, 0) + Point3(0, 0, 0), Point3)
26.166667
62
0.684713
53
314
3.943396
0.245283
0.114833
0.086124
0.172249
0.545455
0.416268
0.416268
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0.11583
0.175159
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63
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0.428571
1
0.285714
true
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0
1
1
0
0
0
1
0
0
5
eff4529a36a3be7584ee12138ed11fd5402bb7e5
2,438
py
Python
upload_code/1.py
MKutay/Bilisim-Projesi-Moodle-
e3b6062f0d70718fde258ba67d49838d178299b8
[ "MIT" ]
2
2020-11-04T10:10:07.000Z
2021-03-21T11:51:06.000Z
upload_code/1.py
MKutay/Bilisim-Projesi-Moodle-
e3b6062f0d70718fde258ba67d49838d178299b8
[ "MIT" ]
1
2020-12-29T05:51:30.000Z
2021-02-15T07:31:06.000Z
upload_code/1.py
MKutay/Bilisim-Projesi-Moodle-
e3b6062f0d70718fde258ba67d49838d178299b8
[ "MIT" ]
null
null
null
import requests cookies = { 'MoodleSession': 'olejbrro3hr5jqva949dj9noo5', } headers = { 'Connection': 'keep-alive', 'sec-ch-ua': '"Chromium";v="86", "\\"Not\\\\A;Brand";v="99", "Google Chrome";v="86"', 'sec-ch-ua-mobile': '?0', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.80 Safari/537.36', 'Content-Type': 'multipart/form-data; boundary=----WebKitFormBoundaryutxvYAyTCo2KHIt9', 'Accept': '*/*', 'Origin': 'https://arionline.ariokullari.k12.tr', 'Sec-Fetch-Site': 'same-origin', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Dest': 'empty', 'Referer': 'https://arionline.ariokullari.k12.tr/mod/assign/view.php?id=5788&action=editsubmission', 'Accept-Language': 'tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7', } params = ( ('action', 'upload'), ) data = '$------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="repo_upload_file"; filename="mat eis 8. foy.pdf"\\r\\nContent-Type: application/pdf\\r\\n\\r\\n\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="sesskey"\\r\\n\\r\\nn2qKBiw90o\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="repo_id"\\r\\n\\r\\n4\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="itemid"\\r\\n\\r\\n326857940\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="author"\\r\\n\\r\\nMEHMET KUTAY BOZKURT\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="savepath"\\r\\n\\r\\n/\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="title"\\r\\n\\r\\nmat eis 8. foy.pdf\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9\\r\\nContent-Disposition: form-data; name="ctx_id"\\r\\n\\r\\n12430\\r\\n------WebKitFormBoundaryutxvYAyTCo2KHIt9--\\r\\n' response = requests.post('https://arionline.ariokullari.k12.tr/repository/repository_ajax.php', headers=headers, params=params, cookies=cookies, data=data) #NB. Original query string below. It seems impossible to parse and #reproduce query strings 100% accurately so the one below is given #in case the reproduced version is not "correct". # response = requests.post('https://arionline.ariokullari.k12.tr/repository/repository_ajax.php?action=upload', headers=headers, cookies=cookies, data=data)
69.657143
1,073
0.706727
324
2,438
5.29321
0.425926
0.022157
0.017493
0.251895
0.462391
0.41516
0.41516
0.41516
0.372012
0.173761
0
0.045009
0.079573
2,438
34
1,074
71.705882
0.719251
0.136587
0
0
0
0.217391
0.84
0.507143
0
0
0
0
0
1
0
false
0
0.043478
0
0.043478
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
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0
0
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1
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0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
efff04b072446205e389530574b79ccd721bf232
153
py
Python
src/lib/db/src/create_all.py
arnulfojr/money-manager
8600f1ff258a89f5742ffad4d5f589fd1def5259
[ "MIT" ]
1
2020-08-18T08:03:44.000Z
2020-08-18T08:03:44.000Z
src/lib/db/src/create_all.py
arnulfojr/money-manager
8600f1ff258a89f5742ffad4d5f589fd1def5259
[ "MIT" ]
null
null
null
src/lib/db/src/create_all.py
arnulfojr/money-manager
8600f1ff258a89f5742ffad4d5f589fd1def5259
[ "MIT" ]
null
null
null
from .. import Model from .. import engine def create_all(): """Create tables for all registered models""" Model.metadata.create_all(engine)
15.3
49
0.699346
20
153
5.25
0.6
0.190476
0
0
0
0
0
0
0
0
0
0
0.189542
153
9
50
17
0.846774
0.254902
0
0
0
0
0
0
0
0
0
0
0
1
0.25
true
0
0.5
0
0.75
0
1
0
0
null
0
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0
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0
0
0
0
0
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0
0
1
0
0
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0
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0
0
null
0
0
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1
1
0
1
0
0
0
0
5
4bfdcce336b66c7acaf5a4a9c00b3c17db5dfad8
172
py
Python
pydle/features/ircv3_2/__init__.py
suut/psychic-happiness
56c0daef93f40b91e8a859f04a4660dde2b5c5c1
[ "Unlicense" ]
1
2020-02-25T10:47:00.000Z
2020-02-25T10:47:00.000Z
pydle/features/ircv3_2/__init__.py
suut/psychic-happiness
56c0daef93f40b91e8a859f04a4660dde2b5c5c1
[ "Unlicense" ]
null
null
null
pydle/features/ircv3_2/__init__.py
suut/psychic-happiness
56c0daef93f40b91e8a859f04a4660dde2b5c5c1
[ "Unlicense" ]
null
null
null
## IRCv3.2 support. from . import monitor, tags, ircv3_2 from .monitor import MonitoringSupport from .tags import TaggedMessageSupport from .ircv3_2 import IRCv3_2Support
24.571429
38
0.813953
23
172
5.956522
0.434783
0.131387
0
0
0
0
0
0
0
0
0
0.053333
0.127907
172
6
39
28.666667
0.86
0.093023
0
0
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0
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1
0
true
0
1
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1
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1
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0
null
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1
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null
0
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0
1
0
1
0
1
0
0
5
ef067b7ec21b10fb8449a5c815f52fbea9a69bde
86
py
Python
pdip/api/handlers/__init__.py
ahmetcagriakca/pdip
c4c16d5666a740154cabdc6762cd44d98b7bdde8
[ "MIT" ]
2
2021-12-09T21:07:46.000Z
2021-12-11T22:18:01.000Z
pdip/api/handlers/__init__.py
fmuyilmaz/pdip
f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab
[ "MIT" ]
null
null
null
pdip/api/handlers/__init__.py
fmuyilmaz/pdip
f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab
[ "MIT" ]
3
2021-11-15T00:47:00.000Z
2021-12-17T11:35:45.000Z
from .error_handlers import ErrorHandlers from .request_handler import RequestHandler
28.666667
43
0.883721
10
86
7.4
0.8
0
0
0
0
0
0
0
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0
0
0
0.093023
86
2
44
43
0.948718
0
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1
0
true
0
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1
0
0
null
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0
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1
0
1
0
0
5
ef3140bda6e346122b2848676c5e90855d66ed5a
136
py
Python
pyocle/__init__.py
jsexton-portfolio/pyocle
e50e183c05acf4fde4d93ce9d09e350ea4487437
[ "MIT" ]
1
2021-03-11T22:53:18.000Z
2021-03-11T22:53:18.000Z
pyocle/__init__.py
jsexton-portfolio/pyocle
e50e183c05acf4fde4d93ce9d09e350ea4487437
[ "MIT" ]
1
2021-08-25T05:21:57.000Z
2021-08-25T05:21:57.000Z
pyocle/__init__.py
jsexton-portfolio/pyocle
e50e183c05acf4fde4d93ce9d09e350ea4487437
[ "MIT" ]
null
null
null
__version__ = '0.4.2' from . import config from . import form from . import response from . import serialization from . import service
17
27
0.75
19
136
5.157895
0.578947
0.510204
0
0
0
0
0
0
0
0
0
0.026786
0.176471
136
7
28
19.428571
0.848214
0
0
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0
0.036765
0
0
0
0
0
0
1
0
false
0
0.833333
0
0.833333
0
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0
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null
1
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null
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0
0
0
0
1
0
1
0
0
5
324e520a7081bf66a3d5c7409e1ad07a2038fd39
114
py
Python
components/studio/ingress/admin.py
aitmlouk/stackn
c8029394a15b03796a4864938f9db251b65c7354
[ "Apache-2.0" ]
25
2020-05-08T22:24:54.000Z
2022-03-11T18:16:58.000Z
components/studio/ingress/admin.py
aitmlouk/stackn
c8029394a15b03796a4864938f9db251b65c7354
[ "Apache-2.0" ]
75
2020-05-08T22:15:59.000Z
2021-11-22T10:00:04.000Z
components/studio/ingress/admin.py
aitmlouk/stackn
c8029394a15b03796a4864938f9db251b65c7354
[ "Apache-2.0" ]
12
2020-11-04T13:09:46.000Z
2022-03-14T16:22:40.000Z
from django.contrib import admin from .models import Page # Register your models here. admin.site.register(Page)
19
32
0.798246
17
114
5.352941
0.647059
0
0
0
0
0
0
0
0
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0
0
0.131579
114
6
33
19
0.919192
0.22807
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1
0
true
0
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0.666667
0
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null
0
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0
0
1
0
1
0
1
0
0
5
328ca8e734ba6656762fc6e9a582c1ff66431257
84
py
Python
tltorch/functional/__init__.py
colehawkins/torch
914bdb8acad64d93a612e46f47ce1df507016b1b
[ "BSD-3-Clause" ]
27
2020-12-15T21:34:48.000Z
2022-02-24T09:56:13.000Z
tltorch/functional/__init__.py
colehawkins/torch
914bdb8acad64d93a612e46f47ce1df507016b1b
[ "BSD-3-Clause" ]
15
2020-12-23T05:10:31.000Z
2022-03-03T00:10:10.000Z
tltorch/functional/__init__.py
colehawkins/torch
914bdb8acad64d93a612e46f47ce1df507016b1b
[ "BSD-3-Clause" ]
12
2020-12-23T04:26:41.000Z
2021-12-15T02:39:30.000Z
from .convolution import convolve, tucker_conv from .linear import factorized_linear
42
46
0.869048
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84
6.454545
0.727273
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1
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0
5
328f4abd145b5b86768c058f56db3c8765a3edc6
444
py
Python
build/lib.linux-x86_64-2.7/ryu/app/experiments/iperf_peers_fsize4.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
1
2021-03-11T01:47:35.000Z
2021-03-11T01:47:35.000Z
ryu/app/experiments/iperf_peers_fsize4.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
null
null
null
ryu/app/experiments/iperf_peers_fsize4.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
null
null
null
iperf_peers=[('h004', 'h006', '67.5M'), ('h001', 'h002', '67.5M'), ('h016', 'h015', '67.5M'), ('h006', 'h003', '67.5M'), ('h015', 'h001', '67.5M'), ('h011', 'h010', '67.5M'), ('h002', 'h003', '67.5M'), ('h013', 'h007', '67.5M'), ('h008', 'h005', '67.5M'), ('h014', 'h011', '67.5M'), ('h009', 'h012', '67.5M'), ('h010', 'h007', '67.5M'), ('h003', 'h013', '67.5M'), ('h007', 'h004', '67.5M'), ('h012', 'h014', '67.5M'), ('h005', 'h008', '67.5M')]
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0
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0
0
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3296154fdb55b937ccc9d853f6395ac2600737a8
94
py
Python
backend/Dormroom/admin.py
henrikhorluck/tdt4140-washlists
a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa
[ "MIT" ]
null
null
null
backend/Dormroom/admin.py
henrikhorluck/tdt4140-washlists
a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa
[ "MIT" ]
2
2020-05-02T18:17:44.000Z
2020-05-02T18:18:02.000Z
backend/Dormroom/admin.py
henrikhorluck/tdt4140-washlists
a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import Dormroom admin.site.register(Dormroom)
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0.819149
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5.923077
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0
5
32be61e793290980130079fd99bd37e6fd5320c3
294
py
Python
src/panel_components/shoelace/widgets/shoelace_widget.py
MarcSkovMadsen/panel-components
ca176f605006165889cbbd3c775d24cdcc4f964d
[ "MIT" ]
5
2020-09-30T03:10:33.000Z
2022-02-04T19:54:58.000Z
src/panel_components/shoelace/widgets/shoelace_widget.py
MarcSkovMadsen/panel-components
ca176f605006165889cbbd3c775d24cdcc4f964d
[ "MIT" ]
null
null
null
src/panel_components/shoelace/widgets/shoelace_widget.py
MarcSkovMadsen/panel-components
ca176f605006165889cbbd3c775d24cdcc4f964d
[ "MIT" ]
1
2021-11-08T19:00:45.000Z
2021-11-08T19:00:45.000Z
"""# Shoelace Widget Functionality Provides the ShoelaceWidget and ShoelaceWidgetGenerator """ from ..shoelace_component import ShoelaceComponent class ShoelaceWidget(ShoelaceComponent): # pylint: disable=too-few-public-methods """Your Shoelace Widgets should inherits this"""
29.4
83
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294
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32.666667
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1
0
1
0
0
5
08c02ea8b2a21bcf3273d39694043a5622ebb653
48
py
Python
knot/config/__init__.py
LegitStack/knot
4661eb53c3ca7aacbad33b17b4a92a156db5b6dc
[ "MIT" ]
null
null
null
knot/config/__init__.py
LegitStack/knot
4661eb53c3ca7aacbad33b17b4a92a156db5b6dc
[ "MIT" ]
null
null
null
knot/config/__init__.py
LegitStack/knot
4661eb53c3ca7aacbad33b17b4a92a156db5b6dc
[ "MIT" ]
null
null
null
from .config import get, put, env, project_path
24
47
0.770833
8
48
4.5
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1
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48
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1
0
0
0
0
5
3e9e3146e1efeced913cef561fa5e9f41dadd0ae
51
py
Python
Test/__init__.py
ritwikd/interom
0b626351fd742f2a99d0a6d11ba8c1a214aab576
[ "MIT" ]
null
null
null
Test/__init__.py
ritwikd/interom
0b626351fd742f2a99d0a6d11ba8c1a214aab576
[ "MIT" ]
1
2021-03-06T22:08:32.000Z
2021-03-06T22:09:07.000Z
Test/__init__.py
ritwikd/interom
0b626351fd742f2a99d0a6d11ba8c1a214aab576
[ "MIT" ]
1
2021-03-03T22:48:07.000Z
2021-03-03T22:48:07.000Z
from . import AlgNote, CheckTest, DoMove, ValidMove
51
51
0.803922
6
51
6.833333
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5
3ebda503fd7769140207482f80323c9adbfb8fea
130
py
Python
wfirst_cgi/models_phaseb/python/wfirst_phaseb_proper/examples/__init__.py
PhillipKP/proper-models
5a859a2c65113c58d52488b43d9f8db6691b536b
[ "Apache-2.0" ]
3
2019-05-22T22:23:45.000Z
2022-03-26T02:26:14.000Z
wfirst_cgi/models_phaseb/python/wfirst_phaseb_proper/examples/__init__.py
PhillipKP/proper-models
5a859a2c65113c58d52488b43d9f8db6691b536b
[ "Apache-2.0" ]
null
null
null
wfirst_cgi/models_phaseb/python/wfirst_phaseb_proper/examples/__init__.py
PhillipKP/proper-models
5a859a2c65113c58d52488b43d9f8db6691b536b
[ "Apache-2.0" ]
4
2020-06-18T21:15:28.000Z
2021-09-30T08:19:58.000Z
# Copyright 2019 California Institute of Technology # ------------------------------------------------------------------ # # #
18.571429
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0.338462
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130
6
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21.666667
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1
0
0
0
0
0
0
5
3ec59eca3921f9bd71f4e813b4b1ebce2ca8f0f0
115
py
Python
Src/Escher/tools/__init__.py
sanjeevmk/GLASS
91c0954eab87d25d4866fea5c338f79fbca4f79e
[ "MIT" ]
2
2022-03-22T17:36:14.000Z
2022-03-27T05:03:39.000Z
Src/Escher/tools/__init__.py
sanjeevmk/glass
91c0954eab87d25d4866fea5c338f79fbca4f79e
[ "MIT" ]
null
null
null
Src/Escher/tools/__init__.py
sanjeevmk/glass
91c0954eab87d25d4866fea5c338f79fbca4f79e
[ "MIT" ]
null
null
null
from .mesh_interpolate import deformation_interpolation from .ApplyDecimationFilter import apply_decimation_filter
38.333333
58
0.913043
12
115
8.416667
0.833333
0
0
0
0
0
0
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0
0
0
0.069565
115
2
59
57.5
0.943925
0
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true
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1
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1
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1
0
0
null
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0
1
0
1
0
1
0
0
5
3ecc3639821d3e7945f3b42f22eeaf0c03cc0bf8
2,992
py
Python
hallo/test/modules/convert/test_convert_set_type_decimals.py
SpangleLabs/Hallo
17145d8f76552ecd4cbc5caef8924bd2cf0cbf24
[ "MIT" ]
1
2022-01-27T13:25:01.000Z
2022-01-27T13:25:01.000Z
hallo/test/modules/convert/test_convert_set_type_decimals.py
joshcoales/Hallo
17145d8f76552ecd4cbc5caef8924bd2cf0cbf24
[ "MIT" ]
75
2015-09-26T18:07:18.000Z
2022-01-04T07:15:11.000Z
hallo/test/modules/convert/test_convert_set_type_decimals.py
SpangleLabs/Hallo
17145d8f76552ecd4cbc5caef8924bd2cf0cbf24
[ "MIT" ]
1
2021-04-10T12:02:47.000Z
2021-04-10T12:02:47.000Z
import unittest from hallo.events import EventMessage from hallo.test.modules.convert.convert_function_test_base import ConvertFunctionTestBase class ConvertSetTypeDecimalsTest(ConvertFunctionTestBase, unittest.TestCase): def test_no_number_given(self): decimals = self.test_repo.get_type_by_name("test_type1").decimals self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert set type decimals test_type1", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "please specify" in data[0].text.lower() assert "a number of decimal places" in data[0].text.lower() assert ( self.test_repo.get_type_by_name("test_type1").decimals == decimals ), "Decimals shouldn't have changed." def test_decimals_at_start(self): self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert set type decimals 5 test_type1", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "set the number of decimal places" in data[0].text.lower() assert '"test_type1" type units' in data[0].text assert "at 5 places" in data[0].text assert ( self.test_repo.get_type_by_name("test_type1").decimals == 5 ), "Decimals wasn't set." def test_decimals_at_end(self): self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert set type decimals test_type1 5", ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "set the number of decimal places" in data[0].text.lower() assert '"test_type1" type units' in data[0].text assert "at 5 places" in data[0].text assert ( self.test_repo.get_type_by_name("test_type1").decimals == 5 ), "Decimals wasn't set." def test_no_type(self): decimals1 = self.test_repo.get_type_by_name("test_type1").decimals decimals2 = self.test_repo.get_type_by_name("test_type2").decimals self.function_dispatcher.dispatch( EventMessage( self.server, None, self.test_user, "convert set type decimals 5" ) ) data = self.server.get_send_data(1, self.test_user, EventMessage) assert "this is not a recognised conversion type" in data[0].text.lower() assert ( self.test_repo.get_type_by_name("test_type1").decimals == decimals1 ), "Decimals shouldn't have changed." assert ( self.test_repo.get_type_by_name("test_type2").decimals == decimals2 ), "Decimals shouldn't have changed."
39.893333
89
0.61631
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2,992
4.835616
0.180822
0.072521
0.035694
0.056091
0.793201
0.747309
0.734844
0.734844
0.734844
0.731445
0
0.017445
0.29111
2,992
74
90
40.432432
0.81471
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false
0
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1
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0
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0
0
0
0
0
0
0
0
0
5
f5cb97cd299dc2bbbc17aae5f0f1221e2d62508b
27
py
Python
robot_controller/__init__.py
james-c/robot_controller
2b4318a2ac3c394e394f27408a3939218d945a71
[ "MIT" ]
null
null
null
robot_controller/__init__.py
james-c/robot_controller
2b4318a2ac3c394e394f27408a3939218d945a71
[ "MIT" ]
null
null
null
robot_controller/__init__.py
james-c/robot_controller
2b4318a2ac3c394e394f27408a3939218d945a71
[ "MIT" ]
null
null
null
from controller import app
13.5
26
0.851852
4
27
5.75
1
0
0
0
0
0
0
0
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0
0
0
0.148148
27
1
27
27
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1
0
true
0
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1
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0
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0
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0
0
0
1
0
1
0
0
0
0
5
f5cce56df52159c4ec0d402eea9770950cf40879
32,082
py
Python
venv/lib/python3.6/site-packages/ansible_collections/cisco/ios/tests/unit/modules/network/ios/test_ios_logging_global.py
usegalaxy-no/usegalaxy
75dad095769fe918eb39677f2c887e681a747f3a
[ "MIT" ]
1
2020-01-22T13:11:23.000Z
2020-01-22T13:11:23.000Z
venv/lib/python3.6/site-packages/ansible_collections/cisco/ios/tests/unit/modules/network/ios/test_ios_logging_global.py
usegalaxy-no/usegalaxy
75dad095769fe918eb39677f2c887e681a747f3a
[ "MIT" ]
12
2020-02-21T07:24:52.000Z
2020-04-14T09:54:32.000Z
venv/lib/python3.6/site-packages/ansible_collections/cisco/ios/tests/unit/modules/network/ios/test_ios_logging_global.py
usegalaxy-no/usegalaxy
75dad095769fe918eb39677f2c887e681a747f3a
[ "MIT" ]
null
null
null
# # (c) 2021, Ansible by Red Hat, inc # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # from __future__ import absolute_import, division, print_function __metaclass__ = type from textwrap import dedent from ansible_collections.cisco.ios.tests.unit.compat.mock import patch from ansible_collections.cisco.ios.plugins.modules import ios_logging_global from ansible_collections.cisco.ios.tests.unit.modules.utils import ( set_module_args, ) from .ios_module import TestIosModule class TestIosLoggingGlobalModule(TestIosModule): module = ios_logging_global def setUp(self): super(TestIosLoggingGlobalModule, self).setUp() self.mock_get_config = patch( "ansible_collections.ansible.netcommon.plugins.module_utils.network.common.network.Config.get_config" ) self.get_config = self.mock_get_config.start() self.mock_load_config = patch( "ansible_collections.ansible.netcommon.plugins.module_utils.network.common.network.Config.load_config" ) self.load_config = self.mock_load_config.start() self.mock_get_resource_connection_config = patch( "ansible_collections.ansible.netcommon.plugins.module_utils.network.common.cfg.base." "get_resource_connection" ) self.get_resource_connection_config = ( self.mock_get_resource_connection_config.start() ) self.mock_get_resource_connection_facts = patch( "ansible_collections.ansible.netcommon.plugins.module_utils.network.common.rm_base.resource_module_base." "get_resource_connection" ) self.get_resource_connection_facts = ( self.mock_get_resource_connection_facts.start() ) self.mock_edit_config = patch( "ansible_collections.cisco.ios.plugins.module_utils.network.ios.providers.providers.CliProvider.edit_config" ) self.edit_config = self.mock_edit_config.start() self.mock_execute_show_command = patch( "ansible_collections.cisco.ios.plugins.module_utils.network.ios.facts.logging_global.logging_global." "Logging_globalFacts.get_logging_data" ) self.execute_show_command = self.mock_execute_show_command.start() def tearDown(self): super(TestIosLoggingGlobalModule, self).tearDown() self.mock_get_resource_connection_config.stop() self.mock_get_resource_connection_facts.stop() self.mock_edit_config.stop() self.mock_get_config.stop() self.mock_load_config.stop() self.mock_execute_show_command.stop() self.allCommands = [ "logging on", "logging buffered xml 5099 notifications", "logging buginf", "logging cns-events warnings", "logging console xml critical", "logging count", "logging delimiter tcp", "logging discriminator msglog01 severity includes 5", "logging dmvpn rate-limit 10", "logging esm config", "logging exception 4099", "logging facility local5", "logging filter tftp://172.16.2.18/ESM/elate.tcl args TESTInst2", "logging filter tftp://172.16.2.14/ESM/escalate.tcl args TESTInst", "logging history alerts", "logging host 172.16.1.1", "logging host 172.16.1.11 xml", "logging host 172.16.1.25 filtered", "logging host 172.16.1.10 filtered stream 10", "logging host 172.16.1.13 transport tcp port 514", "logging message-counter log", "logging message-counter debug", "logging monitor warnings", "logging origin-id hostname", "logging persistent batch 4444", "logging policy-firewall rate-limit 10", "logging queue-limit esm 150", "logging rate-limit all 2", "logging reload alerts", "logging server-arp", "logging snmp-trap errors", "logging source-interface GBit1/0", "logging source-interface CTunnel2", "logging trap errors", "logging userinfo", ] def test_ios_logging_global_merged_idempotent(self): """ passing all commands as have and expecting [] commands """ self.execute_show_command.return_value = dedent( """\ logging on logging count logging buginf logging userinfo logging esm config logging server-arp logging trap errors logging delimiter tcp logging reload alerts logging host 172.16.1.1 logging exception 4099 logging history alerts logging facility local5 logging snmp-trap errors logging monitor warnings logging origin-id hostname logging host 172.16.1.11 xml logging cns-events warnings logging queue-limit esm 150 logging dmvpn rate-limit 10 logging message-counter log logging console xml critical logging message-counter debug logging persistent batch 4444 logging host 172.16.1.25 filtered logging source-interface GBit1/0 logging source-interface CTunnel2 logging policy-firewall rate-limit 10 logging buffered xml 5099 notifications logging rate-limit all 2 except warnings logging host 172.16.1.10 filtered stream 10 logging host 172.16.1.13 transport tcp port 514 logging discriminator msglog01 severity includes 5 logging filter tftp://172.16.2.18/ESM/elate.tcl args TESTInst2 logging filter tftp://172.16.2.14/ESM/escalate.tcl args TESTInst """ ) playbook = dict( config=dict( logging_on="enable", buffered=dict(size=5099, severity="notifications", xml=True), buginf=True, cns_events="warnings", console=dict(severity="critical", xml=True), count=True, delimiter=dict(tcp=True), discriminator=["msglog01 severity includes 5"], dmvpn=dict(rate_limit=10), esm=dict(config=True), exception=4099, facility="local5", filter=[ dict( url="tftp://172.16.2.18/ESM/elate.tcl", args="TESTInst2", ), dict( url="tftp://172.16.2.14/ESM/escalate.tcl", args="TESTInst", ), ], history=dict(severity="alerts"), hosts=[ dict(hostname="172.16.1.1"), dict(hostname="172.16.1.11", xml=True), dict(hostname="172.16.1.25", filtered=True), dict(hostname="172.16.1.10", stream=10, filtered=True), dict( hostname="172.16.1.13", transport=dict(tcp=dict(port=514)), ), ], message_counter=["log", "debug"], monitor=dict(severity="warnings"), origin_id=dict(tag="hostname"), persistent=dict(batch=4444), policy_firewall=dict(rate_limit=10), queue_limit=dict(esm=150), rate_limit=dict(all=True, size=2, except_severity="warnings"), reload=dict(severity="alerts"), server_arp=True, snmp_trap=["errors"], source_interface=[ dict(interface="GBit1/0"), dict(interface="CTunnel2"), ], trap="errors", userinfo=True, ) ) merged = [] playbook["state"] = "merged" set_module_args(playbook) result = self.execute_module() self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(merged)) def test_ios_logging_global_deleted(self): self.execute_show_command.return_value = dedent( """\ logging on logging count logging buginf logging buffered xml 5099 notifications logging console xml critical logging delimiter tcp logging dmvpn rate-limit 10 logging esm config logging exception 4099 logging facility local5 logging history alerts logging monitor warnings logging origin-id hostname logging persistent batch 4444 logging policy-firewall rate-limit 10 logging queue-limit esm 150 logging rate-limit all 2 except warnings logging server-arp logging reload alerts logging userinfo logging trap errors """ ) playbook = dict( config=dict( logging_on="enable", count=True, buffered=dict(size=5099, severity="notifications", xml=True), buginf=True, console=dict(severity="critical", xml=True), delimiter=dict(tcp=True), dmvpn=dict(rate_limit=10), esm=dict(config=True), exception=4099, facility="local5", history=dict(severity="alerts"), monitor=dict(severity="warnings"), origin_id=dict(tag="hostname"), persistent=dict(batch=4444), policy_firewall=dict(rate_limit=10), queue_limit=dict(esm=150), rate_limit=dict(all=True, size=2, except_severity="warnings"), reload=dict(severity="alerts"), server_arp=True, trap="errors", userinfo=True, ) ) deleted = [ "no logging on", "no logging count", "no logging buginf", "no logging buffered xml 5099 notifications", "no logging console xml critical", "no logging delimiter tcp", "no logging dmvpn rate-limit 10", "no logging esm config", "no logging exception 4099", "no logging facility local5", "no logging history alerts", "no logging monitor warnings", "no logging origin-id hostname", "no logging persistent batch 4444", "no logging policy-firewall rate-limit 10", "no logging queue-limit esm 150", "no logging rate-limit all 2 except warnings", "no logging server-arp", "no logging reload alerts", "no logging userinfo", "no logging trap errors", ] playbook["state"] = "deleted" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(deleted)) def test_ios_logging_global_deleted_list(self): self.execute_show_command.return_value = dedent( """\ logging discriminator msglog01 severity includes 5 logging filter tftp://172.16.2.18/ESM/elate.tcl args TESTInst2 logging filter tftp://172.16.2.14/ESM/escalate.tcl args TESTInst logging host 172.16.1.1 logging host 172.16.1.11 xml logging host 172.16.1.25 filtered logging host 172.16.1.10 filtered stream 10 logging host 172.16.1.13 transport tcp port 514 logging message-counter log logging message-counter debug logging snmp-trap errors logging source-interface GBit1/0 logging source-interface CTunnel2 """ ) playbook = dict( config=dict( discriminator=["msglog01 severity includes 5"], filter=[ dict( url="tftp://172.16.2.18/ESM/elate.tcl", args="TESTInst2", ), dict( url="tftp://172.16.2.14/ESM/escalate.tcl", args="TESTInst", ), ], hosts=[ dict(hostname="172.16.1.1"), dict(hostname="172.16.1.11", xml=True), dict(hostname="172.16.1.25", filtered=True), dict(hostname="172.16.1.10", stream=10, filtered=True), dict( hostname="172.16.1.13", transport=dict(tcp=dict(port=514)), ), ], message_counter=["log", "debug"], snmp_trap=["errors"], source_interface=[ dict(interface="GBit1/0"), dict(interface="CTunnel2"), ], ) ) deleted = [ "no logging discriminator msglog01 severity includes 5", "no logging filter tftp://172.16.2.18/ESM/elate.tcl args TESTInst2", "no logging filter tftp://172.16.2.14/ESM/escalate.tcl args TESTInst", "no logging host 172.16.1.1", "no logging host 172.16.1.11", "no logging host 172.16.1.25", "no logging host 172.16.1.10", "no logging host 172.16.1.13", "no logging message-counter log", "no logging message-counter debug", "no logging snmp-trap errors", "no logging source-interface GBit1/0", "no logging source-interface CTunnel2", ] playbook["state"] = "deleted" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(deleted)) def test_ios_logging_global_overridden(self): self.execute_show_command.return_value = dedent( """\ logging on logging count logging buginf logging buffered xml 5099 notifications logging console xml critical logging delimiter tcp logging dmvpn rate-limit 10 logging esm config logging exception 4099 logging facility local5 logging history alerts logging monitor warnings logging origin-id hostname logging persistent batch 4444 logging policy-firewall rate-limit 10 logging queue-limit esm 150 logging rate-limit all 2 except warnings logging server-arp logging reload alerts logging userinfo logging trap errors """ ) playbook = dict( config=dict( discriminator=["msglog01 severity includes 5"], filter=[ dict( url="tftp://172.16.2.18/ESM/elate.tcl", args="TESTInst2", ), dict( url="tftp://172.16.2.14/ESM/escalate.tcl", args="TESTInst", ), ], hosts=[ dict(hostname="172.16.1.1"), dict(hostname="172.16.1.11", xml=True), dict(hostname="172.16.1.25", filtered=True), dict(hostname="172.16.1.10", stream=10, filtered=True), dict( hostname="172.16.1.13", transport=dict(tcp=dict(port=514)), ), ], message_counter=["log", "debug"], snmp_trap=["errors"], source_interface=[ dict(interface="GBit1/0"), dict(interface="CTunnel2"), ], ) ) overridden = [ "no logging on", "no logging count", "no logging buginf", "no logging buffered xml 5099 notifications", "no logging console xml critical", "no logging delimiter tcp", "no logging dmvpn rate-limit 10", "no logging esm config", "no logging exception 4099", "no logging facility local5", "no logging history alerts", "no logging monitor warnings", "no logging origin-id hostname", "no logging persistent batch 4444", "no logging policy-firewall rate-limit 10", "no logging queue-limit esm 150", "no logging rate-limit all 2 except warnings", "no logging server-arp", "no logging reload alerts", "no logging userinfo", "no logging trap errors", "logging discriminator msglog01 severity includes 5", "logging filter tftp://172.16.2.18/ESM/elate.tcl args TESTInst2", "logging filter tftp://172.16.2.14/ESM/escalate.tcl args TESTInst", "logging host 172.16.1.1", "logging host 172.16.1.11 xml", "logging host 172.16.1.25 filtered", "logging host 172.16.1.10 filtered stream 10", "logging host 172.16.1.13 transport tcp port 514", "logging message-counter log", "logging message-counter debug", "logging snmp-trap errors", "logging source-interface GBit1/0", "logging source-interface CTunnel2", ] playbook["state"] = "overridden" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(overridden)) def test_ios_logging_global_overridden_idempotent(self): self.execute_show_command.return_value = dedent( """\ logging host 172.16.1.11 xml logging monitor critical logging buffered xml 5099 warnings logging facility local6 """ ) playbook = dict( config=dict( buffered=dict(size=5099, severity="warnings", xml=True), facility="local6", hosts=[dict(hostname="172.16.1.11", xml=True)], monitor=dict(severity="critical"), ) ) overridden = [] playbook["state"] = "overridden" set_module_args(playbook) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(overridden)) def test_ios_logging_global_merged(self): self.execute_show_command.return_value = dedent( """\ logging host 172.16.1.1 """ ) playbook = dict( config=dict( hosts=[ dict(hostname="172.16.2.15", session_id=dict(text="Test")), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7304", discriminator="msglog01 severity includes 5", ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7314", sequence_num_session=True, ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7324", vrf="vpn1", ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7334", stream=10, filtered=True, ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7344", session_id=dict(tag="ipv4"), ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7354", transport=dict(tcp=dict(port=514, xml=True)), ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7374", vrf="Apn2", transport=dict( udp=dict( discriminator="msglog01 severity includes 5" ) ), ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7384", transport=dict(udp=dict(sequence_num_session=True)), ), dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7364", transport=dict( tcp=dict( audit=True, filtered=True, stream=10, session_id=dict(text="Test"), ) ), ), ] ) ) merged = [ "logging host 172.16.2.15 session-id string Test", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7304 discriminator msglog01 severity includes 5", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7314 sequence-num-session", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7324 vrf vpn1", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7334 filtered stream 10", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7344 session-id ipv4", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7354 transport tcp port 514 xml", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7364 transport tcp audit filtered stream 10 session-id string Test", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7374 vrf Apn2 transport udp discriminator msglog01 severity includes 5", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7384 transport udp sequence-num-session", ] playbook["state"] = "merged" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(merged)) def test_ios_logging_global_parsed(self): set_module_args( dict( running_config=dedent( """\ logging on logging buffered xml 5099 notifications logging buginf logging cns-events warnings logging console xml critical logging count logging delimiter tcp """ ), state="parsed", ) ) parsed = dict( logging_on="enable", buffered=dict(size=5099, severity="notifications", xml=True), buginf=True, cns_events="warnings", console=dict(severity="critical", xml=True), count=True, delimiter=dict(tcp=True), ) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["parsed"]), sorted(parsed)) def test_ios_logging_global_gathered(self): self.execute_show_command.return_value = dedent( """\ logging persistent notify """ ) set_module_args(dict(state="gathered")) gathered = dict(persistent=dict(notify=True)) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["gathered"]), sorted(gathered)) def test_ios_logging_global_gathered_host(self): self.execute_show_command.return_value = dedent( """\ logging host 172.16.1.1 vrf vpn1 transport tcp audit """ ) set_module_args(dict(state="gathered")) gathered = dict( hosts=[ dict( hostname="172.16.1.1", vrf="vpn1", transport=dict(tcp=dict(audit=True)), ) ] ) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["gathered"]), sorted(gathered)) def test_ios_logging_global_rendered(self): set_module_args( dict( config=dict( rate_limit=dict( console=True, size=2, except_severity="warnings" ), reload=dict(message_limit=10, severity="alerts"), persistent=dict( url="flash0:172.16.0.1", threshold=2, immediate=True, protected=True, notify=True, ), queue_limit=dict(trap=1000), buffered=dict( discriminator="notifications", filtered=True ), hosts=[ dict( ipv6="2001:0db8:85a3:0000:0000:8a2e:0370:7364", transport=dict( tcp=dict(session_id=dict(tag="hostname")) ), ) ], ), state="rendered", ) ) rendered = [ "logging reload message-limit 10 alerts", "logging rate-limit console 2 except warnings", "logging buffered discriminator notifications filtered", "logging persistent url flash0:172.16.0.1 threshold 2 immediate protected notify", "logging queue-limit trap 1000", "logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7364 transport tcp session-id hostname", ] result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["rendered"]), sorted(rendered)) def test_ios_logging_global_deleted_empty(self): self.execute_show_command.return_value = dedent( """\ logging rate-limit all 2 except warnings logging server-arp logging origin-id string Test logging reload alerts logging userinfo logging trap errors logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7324 logging persistent size 1000 filesize 1000 logging source-interface Gbit0/1 vrf vpn1 logging filter flash:172.16.1.1 1 args Test """ ) playbook = dict(config=dict()) deleted = [ "no logging rate-limit all 2 except warnings", "no logging server-arp", "no logging origin-id string Test", "no logging reload alerts", "no logging userinfo", "no logging trap errors", "no logging host ipv6 2001:0db8:85a3:0000:0000:8a2e:0370:7324", "no logging persistent size 1000 filesize 1000", "no logging source-interface Gbit0/1 vrf vpn1", "no logging filter flash:172.16.1.1 1 args Test", ] playbook["state"] = "deleted" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(deleted)) def test_ios_logging_global_deleted_idempotent(self): self.execute_show_command.return_value = dedent( """\ no logging exception no logging buffered no logging reload no logging rate-limit no logging console no logging monitor no logging cns-events no logging trap """ ) playbook = dict(config=dict()) deleted = [] playbook["state"] = "deleted" set_module_args(playbook) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(result["commands"], deleted) def test_ios_logging_global_replaced(self): self.execute_show_command.return_value = dedent( """\ logging host 172.16.1.1 """ ) playbook = dict( config=dict( hosts=[ dict(hostname="172.16.2.15", session_id=dict(text="Test")) ] ) ) replaced = [ "no logging host 172.16.1.1", "logging host 172.16.2.15 session-id string Test", ] playbook["state"] = "replaced" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(replaced)) def test_ios_logging_global_replaced_ordering_host(self): self.execute_show_command.return_value = dedent( """\ logging buffered 64000 no logging console no logging monitor logging history notifications logging origin-id hostname logging source-interface GigabitEthernet0 vrf Mgmt-intf logging host 172.16.0.1 transport udp port 10000 logging host 172.16.0.2 """ ) playbook = { "config": { "buffered": {"size": 64000}, "history": {"severity": "notifications"}, "hosts": [ {"hostname": "172.16.0.1", "vrf": "Mgmt-intf"}, {"hostname": "172.16.0.3", "vrf": "Mgmt-intf"}, {"hostname": "172.16.0.4", "vrf": "Mgmt-intf"}, ], "origin_id": {"tag": "hostname"}, "rate_limit": { "console": True, "except_severity": "errors", "size": 10, }, "source_interface": [ {"interface": "GigabitEthernet0", "vrf": "Mgmt-intf"} ], "trap": "informational", } } replaced = [ "logging rate-limit console 10 except errors", "logging trap informational", "logging host 172.16.0.1 vrf Mgmt-intf", "logging host 172.16.0.3 vrf Mgmt-intf", "logging host 172.16.0.4 vrf Mgmt-intf", "no logging host 172.16.0.2", ] playbook["state"] = "replaced" set_module_args(playbook) result = self.execute_module(changed=True) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(replaced)) def test_ios_logging_global_replaced_idempotent(self): self.execute_show_command.return_value = dedent( """\ logging host 172.16.2.15 """ ) playbook = dict(config=dict(hosts=[dict(hostname="172.16.2.15")])) replaced = [] playbook["state"] = "replaced" set_module_args(playbook) result = self.execute_module(changed=False) self.maxDiff = None self.assertEqual(sorted(result["commands"]), sorted(replaced))
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f5df6ffb3f578734b48842deca10af9f2b8917a8
158
py
Python
quotes/serializers.py
thulasi-ram/logistika
a9a7b649f0e15bf8cdad43fdab2a8bd61326f83d
[ "MIT" ]
null
null
null
quotes/serializers.py
thulasi-ram/logistika
a9a7b649f0e15bf8cdad43fdab2a8bd61326f83d
[ "MIT" ]
null
null
null
quotes/serializers.py
thulasi-ram/logistika
a9a7b649f0e15bf8cdad43fdab2a8bd61326f83d
[ "MIT" ]
null
null
null
from django.core.serializers.json import Serializer class QuotesJSONSerializer(Serializer): def get_dump_object(self, obj): return self._current
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6
52
26.333333
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