hexsha
string
size
int64
ext
string
lang
string
max_stars_repo_path
string
max_stars_repo_name
string
max_stars_repo_head_hexsha
string
max_stars_repo_licenses
list
max_stars_count
int64
max_stars_repo_stars_event_min_datetime
string
max_stars_repo_stars_event_max_datetime
string
max_issues_repo_path
string
max_issues_repo_name
string
max_issues_repo_head_hexsha
string
max_issues_repo_licenses
list
max_issues_count
int64
max_issues_repo_issues_event_min_datetime
string
max_issues_repo_issues_event_max_datetime
string
max_forks_repo_path
string
max_forks_repo_name
string
max_forks_repo_head_hexsha
string
max_forks_repo_licenses
list
max_forks_count
int64
max_forks_repo_forks_event_min_datetime
string
max_forks_repo_forks_event_max_datetime
string
content
string
avg_line_length
float64
max_line_length
int64
alphanum_fraction
float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
float64
qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
float64
qsc_code_frac_chars_dupe_7grams_quality_signal
float64
qsc_code_frac_chars_dupe_8grams_quality_signal
float64
qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
float64
qsc_code_cate_xml_start_quality_signal
float64
qsc_code_frac_lines_dupe_lines_quality_signal
float64
qsc_code_cate_autogen_quality_signal
float64
qsc_code_frac_lines_long_string_quality_signal
float64
qsc_code_frac_chars_string_length_quality_signal
float64
qsc_code_frac_chars_long_word_length_quality_signal
float64
qsc_code_frac_lines_string_concat_quality_signal
float64
qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
float64
qsc_code_frac_lines_prompt_comments_quality_signal
float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
qsc_codepython_frac_lines_import_quality_signal
float64
qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
qsc_code_num_chars
int64
qsc_code_mean_word_length
int64
qsc_code_frac_words_unique
null
qsc_code_frac_chars_top_2grams
int64
qsc_code_frac_chars_top_3grams
int64
qsc_code_frac_chars_top_4grams
int64
qsc_code_frac_chars_dupe_5grams
int64
qsc_code_frac_chars_dupe_6grams
int64
qsc_code_frac_chars_dupe_7grams
int64
qsc_code_frac_chars_dupe_8grams
int64
qsc_code_frac_chars_dupe_9grams
int64
qsc_code_frac_chars_dupe_10grams
int64
qsc_code_frac_chars_replacement_symbols
int64
qsc_code_frac_chars_digital
int64
qsc_code_frac_chars_whitespace
int64
qsc_code_size_file_byte
int64
qsc_code_num_lines
int64
qsc_code_num_chars_line_max
int64
qsc_code_num_chars_line_mean
int64
qsc_code_frac_chars_alphabet
int64
qsc_code_frac_chars_comments
int64
qsc_code_cate_xml_start
int64
qsc_code_frac_lines_dupe_lines
int64
qsc_code_cate_autogen
int64
qsc_code_frac_lines_long_string
int64
qsc_code_frac_chars_string_length
int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
int64
qsc_codepython_frac_lines_pass
int64
qsc_codepython_frac_lines_import
int64
qsc_codepython_frac_lines_simplefunc
int64
qsc_codepython_score_lines_no_logic
int64
qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
b4d8c937ba0e831a35a6a5ca9fbccba6cea9f38e
19,161
py
Python
analysis/gameboard_test.py
SCAII/SCAII
7ab302f788556392850d104d3df6e0b4a556414d
[ "BSD-3-Clause" ]
1
2017-11-01T20:09:32.000Z
2017-11-01T20:09:32.000Z
analysis/gameboard_test.py
SCAII/SCAII
7ab302f788556392850d104d3df6e0b4a556414d
[ "BSD-3-Clause" ]
103
2017-09-14T17:04:53.000Z
2018-08-15T22:52:32.000Z
analysis/gameboard_test.py
SCAII/SCAII
7ab302f788556392850d104d3df6e0b4a556414d
[ "BSD-3-Clause" ]
6
2018-01-31T00:05:14.000Z
2020-01-29T07:01:29.000Z
import unittest from flatten import parse_line import extractionMap as extractionMap # clickGameQuadrant: "tutorial.scr,9-13-2018,13:48:5:219,1536871685219,1,1.0,userClick:473_106;region:gameArea;target:gameboardBackground;clickGameQuadrant:upperRightQuadrant,false,false,false,false,false,fals...
64.952542
283
0.711132
1,854
19,161
7.329558
0.056095
0.247259
0.296711
0.297299
0.953933
0.945691
0.935463
0.934579
0.934579
0.933402
0
0.019918
0.135327
19,161
295
284
64.952542
0.800278
0.057408
0
0.893443
0
0.016393
0.481668
0.416593
0
0
0
0
0.918033
1
0.016393
false
0
0.012295
0
0.032787
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
null
0
0
0
1
0
0
0
0
0
0
0
0
0
12
b4e3bf6253ede20c52a94a9d23acd2b218c739e2
214
py
Python
src/scoot/src/behaviors/scout/__init__.py
BCLab-UNM/SC2
3e476a529ca9c6c650b921a749ae496671cca6a8
[ "MIT" ]
null
null
null
src/scoot/src/behaviors/scout/__init__.py
BCLab-UNM/SC2
3e476a529ca9c6c650b921a749ae496671cca6a8
[ "MIT" ]
null
null
null
src/scoot/src/behaviors/scout/__init__.py
BCLab-UNM/SC2
3e476a529ca9c6c650b921a749ae496671cca6a8
[ "MIT" ]
null
null
null
# Import behavior modules into the behavior namespace from . import search from . import searchRandomWalk from . import fine_search from . import DDSA from . import goto_waypoint from . import goto_repair_station
23.777778
53
0.813084
29
214
5.862069
0.517241
0.352941
0.188235
0
0
0
0
0
0
0
0
0
0.154206
214
8
54
26.75
0.939227
0.238318
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
3705c150c4d90b69e9ffdc5b268f88fe7f32603f
25,553
py
Python
los/analyze/ellipse_grid/scripts/data.py
phil-mansfield/shellfish
91b0b8216276969aacc66b09bbfbb5251218e57e
[ "MIT" ]
12
2016-12-07T17:57:07.000Z
2021-12-10T22:48:53.000Z
los/analyze/ellipse_grid/scripts/data.py
phil-mansfield/shellfish
91b0b8216276969aacc66b09bbfbb5251218e57e
[ "MIT" ]
48
2016-12-04T03:48:24.000Z
2021-08-08T16:34:24.000Z
los/analyze/ellipse_grid/scripts/data.py
phil-mansfield/shellfish
91b0b8216276969aacc66b09bbfbb5251218e57e
[ "MIT" ]
5
2019-02-25T15:14:22.000Z
2020-10-10T07:43:37.000Z
import numpy as np acs = np.array([ 0.2, 0.2276, 0.2552, 0.2828, 0.3103, 0.3379, 0.3655, 0.3931, 0.4207, 0.4483, 0.4759, 0.5034, 0.531, 0.5586, 0.5862, 0.6138, 0.6414, 0.669, 0.6966, 0.7241, 0.7517, 0.7793, 0.8069, 0.8345, 0.8621, 0.8897, 0.9172, 0.9448, 0.9724, 1, ]) bcs =...
228.151786
274
0.315658
4,254
25,553
1.893982
0.212741
0.316495
0.442721
0.549088
0.370485
0.281867
0.269207
0.229738
0.220554
0.208018
0
0.642683
0.517552
25,553
111
275
230.207207
0.01087
0
0
0.066038
0
0
0
0
0
0
0
0
0
1
0
false
0
0.009434
0
0.009434
0
0
0
1
null
1
1
1
0
0
0
0
0
0
0
1
1
0
0
0
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
3723f11cf724138e2dc968972f5d71ca8f990153
13,072
py
Python
ws_lock/tests/test_with_django.py
sevdog/test-websocker-user-lock
8aef3249f623e23479d61c7681e0f59909c47926
[ "MIT" ]
null
null
null
ws_lock/tests/test_with_django.py
sevdog/test-websocker-user-lock
8aef3249f623e23479d61c7681e0f59909c47926
[ "MIT" ]
null
null
null
ws_lock/tests/test_with_django.py
sevdog/test-websocker-user-lock
8aef3249f623e23479d61c7681e0f59909c47926
[ "MIT" ]
null
null
null
import threading from asgiref.sync import sync_to_async from django.test import TestCase, TransactionTestCase from django.contrib.auth import get_user_model from ..models import Item from .utils import application, websocket_connect_to_asgi, User class TestLocks(TestCase): fixtures = ['initial_setup'] @class...
39.255255
92
0.630125
1,420
13,072
5.492958
0.061972
0.200513
0.117949
0.069231
0.938718
0.938718
0.938718
0.928846
0.928846
0.924487
0
0.005025
0.269278
13,072
333
93
39.255255
0.811558
0.019201
0
0.934483
0
0
0.044592
0
0
0
0
0
0.186207
1
0.013793
false
0
0.02069
0.010345
0.058621
0.010345
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
37262e0ad22b07ec74b73b646f37d900c45b7666
157
py
Python
torchmin/trustregion/__init__.py
dhjpolymath/pytorch-minimize
cabe819c97c707fd9f3dc31f50c4520d9c39dfc5
[ "MIT" ]
50
2021-04-18T10:32:34.000Z
2022-03-21T08:39:43.000Z
torchmin/trustregion/__init__.py
dhjpolymath/pytorch-minimize
cabe819c97c707fd9f3dc31f50c4520d9c39dfc5
[ "MIT" ]
9
2021-11-20T20:54:06.000Z
2022-03-30T15:59:21.000Z
torchmin/trustregion/__init__.py
dhjpolymath/pytorch-minimize
cabe819c97c707fd9f3dc31f50c4520d9c39dfc5
[ "MIT" ]
12
2021-06-15T19:15:08.000Z
2022-03-23T14:23:16.000Z
from .ncg import _minimize_trust_ncg from .exact import _minimize_trust_exact from .dogleg import _minimize_dogleg from .krylov import _minimize_trust_krylov
39.25
42
0.878981
23
157
5.521739
0.347826
0.440945
0.448819
0
0
0
0
0
0
0
0
0
0.095541
157
4
42
39.25
0.894366
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
2eaed3078fb0fec633e83d560c13b2a481bcdeef
13,154
py
Python
tests/integration_tests/test_command_line_options.py
Naveenaidu/moban
5a4d41546a99f66b39e7deb3e216c9238fa3b07b
[ "MIT" ]
null
null
null
tests/integration_tests/test_command_line_options.py
Naveenaidu/moban
5a4d41546a99f66b39e7deb3e216c9238fa3b07b
[ "MIT" ]
null
null
null
tests/integration_tests/test_command_line_options.py
Naveenaidu/moban
5a4d41546a99f66b39e7deb3e216c9238fa3b07b
[ "MIT" ]
null
null
null
import os import sys from shutil import copyfile from mock import patch from nose.tools import eq_, raises, assert_raises class TestCustomOptions: def setUp(self): self.config_file = "config.yaml" with open(self.config_file, "w") as f: f.write("hello: world") self.patcher1 = p...
30.662005
79
0.570929
1,542
13,154
4.653697
0.075875
0.051282
0.068283
0.057692
0.873746
0.865385
0.850753
0.836678
0.81034
0.793618
0
0.006647
0.302341
13,154
428
80
30.733645
0.775308
0
0
0.703704
0
0
0.18139
0.085601
0
0
0
0
0.025641
1
0.116809
false
0
0.079772
0
0.222222
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2eb1d598b8587f0eb4383ebc916de7ba8a379363
6,164
py
Python
tests/AOJ/test_ITP1_8_B.py
nabetama-training/CompetitionProgrammingPractice
0801173df3992c2e78b02b383f2df9ba792cbf2f
[ "BSD-2-Clause" ]
null
null
null
tests/AOJ/test_ITP1_8_B.py
nabetama-training/CompetitionProgrammingPractice
0801173df3992c2e78b02b383f2df9ba792cbf2f
[ "BSD-2-Clause" ]
2
2020-07-04T04:19:28.000Z
2020-07-26T06:16:07.000Z
tests/AOJ/test_ITP1_8_B.py
nabetama-training/CompetitionProgrammingPractice
0801173df3992c2e78b02b383f2df9ba792cbf2f
[ "BSD-2-Clause" ]
null
null
null
import sys from io import StringIO import unittest from src.AOJ.ITP1_8_B import resolve class TestClass(unittest.TestCase): def assertIO(self, input, output): stdout, stdin = sys.stdout, sys.stdin sys.stdout, sys.stdin = StringIO(), StringIO(input) resolve() sys.stdout.seek(0) ...
18.735562
1,019
0.889682
387
6,164
14.155039
0.315245
0.002191
0.008762
0.049288
0.266156
0.259036
0.238773
0.200986
0.198065
0.178715
0
0.893519
0.088903
6,164
329
1,020
18.735562
0.081909
0
0
0.648903
0
0
0.859854
0.649797
0
1
0
0
0.018809
1
0.015674
false
0
0.012539
0
0.031348
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
1
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
7
2eddfff39bdf21fdb30979ecaced37895989ddc1
172
py
Python
tacost/__init__.py
thejasvibr/test_acoustictracking
c212b44f7359542fede0dff2513798995cde0d20
[ "MIT" ]
null
null
null
tacost/__init__.py
thejasvibr/test_acoustictracking
c212b44f7359542fede0dff2513798995cde0d20
[ "MIT" ]
null
null
null
tacost/__init__.py
thejasvibr/test_acoustictracking
c212b44f7359542fede0dff2513798995cde0d20
[ "MIT" ]
null
null
null
__version__ = "0.1.35" from tacost import simulate_LMU_playback_setup from tacost import calculate_toa from tacost import make_sim_audio from tacost import make_positions
24.571429
46
0.854651
27
172
5.037037
0.62963
0.294118
0.470588
0.294118
0
0
0
0
0
0
0
0.026316
0.116279
172
6
47
28.666667
0.868421
0
0
0
0
0
0.034884
0
0
0
0
0
0
1
0
false
0
0.8
0
0.8
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
7
2eef0b409293749e86d09d9351a852c83052f812
3,594
py
Python
tests/test_hc_interfaces.py
lguohan/sonic-snmpagent
0c14bcc2bb9cb35573ddcae2a23b6640db45fa01
[ "Apache-2.0" ]
null
null
null
tests/test_hc_interfaces.py
lguohan/sonic-snmpagent
0c14bcc2bb9cb35573ddcae2a23b6640db45fa01
[ "Apache-2.0" ]
null
null
null
tests/test_hc_interfaces.py
lguohan/sonic-snmpagent
0c14bcc2bb9cb35573ddcae2a23b6640db45fa01
[ "Apache-2.0" ]
null
null
null
import os import sys # noinspection PyUnresolvedReferences import tests.mock_tables.dbconnector modules_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, os.path.join(modules_path, 'src')) from unittest import TestCase from ax_interface.pdu import PDU from ax_interface.mib import...
81.681818
1,010
0.722871
760
3,594
3.384211
0.101316
0.671851
0.556376
0.275272
0.816096
0.803655
0.803655
0.796268
0.796268
0.796268
0
0.36399
0.07123
3,594
44
1,011
81.681818
0.406531
0.009738
0
0.393939
0
0.121212
0.698426
0.697583
0
1
0
0
0
1
0.151515
false
0
0.212121
0
0.393939
0.121212
0
0
0
null
1
1
1
1
1
1
1
1
1
0
1
0
0
0
1
0
1
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
15
25c55df46b9198911e8487c0ad332c9fc0bf414b
28,263
py
Python
python/test/test_BoolFunction.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
7
2020-03-13T17:08:01.000Z
2021-11-17T11:43:58.000Z
python/test/test_BoolFunction.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
2
2021-03-16T12:05:50.000Z
2021-03-16T13:06:47.000Z
python/test/test_BoolFunction.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
8
2020-02-13T18:05:55.000Z
2021-03-16T11:12:33.000Z
#------------------------------------------------------------------------------- # Part of Tweedledum Project. This file is distributed under the MIT License. # See accompanying file /LICENSE for details. #------------------------------------------------------------------------------- import unittest from tweedledum....
42.757943
80
0.586562
3,466
28,263
4.640219
0.030871
0.191196
0.17447
0.161661
0.961326
0.935025
0.931791
0.906672
0.8892
0.871106
0
0.03933
0.2821
28,263
660
81
42.822727
0.753327
0.009872
0
0.867572
0
0
0.008828
0
0
0
0.002573
0
0.348048
1
0.110357
false
0
0.005093
0
0.123939
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
25e9e7d1e07aa5e003762696a7c0f41db1daac94
8,176
py
Python
code/utils/write_result2html.py
Shanthika/FeatureNet
eb0a87fd202380e1ba1f62d948cfcb29248d4b47
[ "MIT" ]
170
2018-03-23T02:40:26.000Z
2022-03-26T07:25:23.000Z
code/utils/write_result2html.py
Shanthika/FeatureNet
eb0a87fd202380e1ba1f62d948cfcb29248d4b47
[ "MIT" ]
28
2018-05-22T21:20:15.000Z
2022-01-08T19:50:32.000Z
code/utils/write_result2html.py
Shanthika/FeatureNet
eb0a87fd202380e1ba1f62d948cfcb29248d4b47
[ "MIT" ]
55
2018-04-04T07:57:53.000Z
2022-03-26T03:55:32.000Z
import os import numpy as np from tqdm import tqdm from utils import pc_util from scipy.misc import imsave def write_result(): root_path = "/home/lqyu/server/proj49/PointSR_data/test_data/our_collected_data" model_names = ['1024_nonormal_generator2_2', '1024_nonormal_generator2_2_uniformloss', ...
38.748815
128
0.564579
1,085
8,176
4.024885
0.103226
0.084726
0.057706
0.042821
0.905656
0.900847
0.881154
0.869476
0.861461
0.861461
0
0.022682
0.266634
8,176
210
129
38.933333
0.705637
0.045988
0
0.768293
0
0
0.226221
0.088046
0
0
0
0
0
1
0.018293
false
0
0.030488
0
0.04878
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
d350c9bd37e15e9fb55a638f73096954a2c01ada
122
py
Python
xflask/wtforms/__init__.py
sotheara-leang/xFlask
b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0
[ "MIT" ]
2
2020-02-11T08:29:49.000Z
2020-02-17T10:24:36.000Z
xflask/wtforms/__init__.py
sotheara-leang/xFlask
b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0
[ "MIT" ]
null
null
null
xflask/wtforms/__init__.py
sotheara-leang/xFlask
b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0
[ "MIT" ]
null
null
null
from wtforms import * from flask_wtf.file import * from xflask.wtforms.field import * from xflask.wtforms.form import *
17.428571
34
0.778689
18
122
5.222222
0.5
0.319149
0.340426
0.489362
0
0
0
0
0
0
0
0
0.147541
122
6
35
20.333333
0.903846
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
d39a17c6a801cf1b62f226c19b03d7df967ca93d
70
py
Python
foronoi/tree/__init__.py
Smart-Ag/voronoi_diagram_generator
a68aac565a5e59c577eeb05471afeabd1905071e
[ "MIT" ]
null
null
null
foronoi/tree/__init__.py
Smart-Ag/voronoi_diagram_generator
a68aac565a5e59c577eeb05471afeabd1905071e
[ "MIT" ]
null
null
null
foronoi/tree/__init__.py
Smart-Ag/voronoi_diagram_generator
a68aac565a5e59c577eeb05471afeabd1905071e
[ "MIT" ]
null
null
null
from foronoi.tree.node import Node from foronoi.tree.tree import Tree
23.333333
34
0.828571
12
70
4.833333
0.416667
0.37931
0.517241
0
0
0
0
0
0
0
0
0
0.114286
70
2
35
35
0.935484
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
9fa3ffaafe08636c1c9412f7ad2b778621a4338d
3,128
py
Python
runtime/components/Basic_Arithmetic/test_divide.py
ulise/hetida-designer
a6be8eb45abf950d5498e3ca756ea1d2e46b5c00
[ "MIT" ]
41
2020-11-18T10:12:29.000Z
2022-03-28T21:46:41.000Z
runtime/components/Basic_Arithmetic/test_divide.py
ulise/hetida-designer
a6be8eb45abf950d5498e3ca756ea1d2e46b5c00
[ "MIT" ]
4
2020-12-08T15:28:15.000Z
2022-02-01T11:40:17.000Z
runtime/components/Basic_Arithmetic/test_divide.py
ulise/hetida-designer
a6be8eb45abf950d5498e3ca756ea1d2e46b5c00
[ "MIT" ]
14
2020-11-18T11:39:17.000Z
2022-03-21T15:05:11.000Z
import pandas as pd from .divide import main def test_numeric(): assert main(a=16.0, b=4.0)["quotient"] == 4.0 def test_s_numeric(): assert main( a=pd.Series( { "2019-08-01T15:20:12": 1.2, "2019-08-01T15:44:12": None, "2019-08-03T16:20:15":...
27.438596
49
0.335678
379
3,128
2.751979
0.110818
0.253116
0.232023
0.137105
0.885906
0.863854
0.862895
0.862895
0.835091
0.741131
0
0.449622
0.492327
3,128
113
50
27.681416
0.207179
0
0
0.542857
0
0
0.279412
0
0
0
0
0
0.038095
1
0.038095
true
0
0.019048
0
0.057143
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
11
9fbb38c823953621f20cce6d52150ffc1e941522
4,627
py
Python
gentelella/app/api/restaurants/get.py
Dhvani35729/Trofi-Dashboard
a49b4cbac964e60ea3124e4808ba88ef7256a8fe
[ "MIT" ]
null
null
null
gentelella/app/api/restaurants/get.py
Dhvani35729/Trofi-Dashboard
a49b4cbac964e60ea3124e4808ba88ef7256a8fe
[ "MIT" ]
null
null
null
gentelella/app/api/restaurants/get.py
Dhvani35729/Trofi-Dashboard
a49b4cbac964e60ea3124e4808ba88ef7256a8fe
[ "MIT" ]
null
null
null
from django.http import JsonResponse from ...constants import DISCOUNT_INCREMENT def get_all_restaurants_with_hours(db, active=True): res_ref = db.collection(u'restaurants').where( u'is_active', u'==', True).get() # import pdb # pdb.set_trace() all_hours = [] for i in range(24): a...
38.558333
139
0.558461
507
4,627
4.769231
0.134122
0.072787
0.043011
0.026468
0.906534
0.886683
0.857734
0.857734
0.841191
0.841191
0
0.002558
0.323968
4,627
119
140
38.882353
0.77046
0.048844
0
0.822222
0
0
0.127902
0
0
0
0
0
0
1
0.022222
false
0
0.022222
0
0.066667
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
9fbb4cc9de7036906b065b57c1df2842b81a1b3a
191
py
Python
config.py
Mobin-khorushi/tradebot
44f559c5de1d262bfb4a1db0ead617db4c5d23f1
[ "Apache-2.0" ]
null
null
null
config.py
Mobin-khorushi/tradebot
44f559c5de1d262bfb4a1db0ead617db4c5d23f1
[ "Apache-2.0" ]
null
null
null
config.py
Mobin-khorushi/tradebot
44f559c5de1d262bfb4a1db0ead617db4c5d23f1
[ "Apache-2.0" ]
null
null
null
WEBHOOK_PASS="letsmakethisourpassword" API_KEY="BpKCfUiCLoDj0SuLcLmKqpenmvLpu4Rk7RHnW2xHJU9ik9mN8WUQZb4nsg0yDbTu" API_SECRET="U1HxoxdeaX8syDSrZMcuu0SLReerK8VZvaZ4OD3KDsX7PMlixd8W5fa7Q7XDbhM8"
63.666667
77
0.942408
9
191
19.666667
0.888889
0
0
0
0
0
0
0
0
0
0
0.111111
0.010471
191
3
77
63.666667
0.825397
0
0
0
0
0
0.786458
0.786458
0
1
0
0
0
1
0
false
0.333333
0
0
0
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
1
0
0
0
0
0
7
4cc93a7102c4c23fc4151b9bc3a476fe9dd62941
10,508
py
Python
apimaster/migrations/0001_initial.py
romsha28/hospital_python
1bb86266223df5084321917169156aaec1c5e318
[ "Apache-2.0" ]
null
null
null
apimaster/migrations/0001_initial.py
romsha28/hospital_python
1bb86266223df5084321917169156aaec1c5e318
[ "Apache-2.0" ]
1
2021-10-18T08:56:11.000Z
2021-10-18T08:56:11.000Z
apimaster/migrations/0001_initial.py
romsha28/hospital_python
1bb86266223df5084321917169156aaec1c5e318
[ "Apache-2.0" ]
null
null
null
# Generated by Django 3.2.8 on 2021-11-26 10:39 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Address', fields=[ ...
58.055249
159
0.574515
1,015
10,508
5.8
0.107389
0.122303
0.146085
0.175302
0.881773
0.86071
0.843044
0.823
0.823
0.823
0
0.019775
0.273316
10,508
180
160
58.377778
0.751179
0.004282
0
0.797688
1
0
0.129816
0
0
0
0
0
0
1
0
false
0
0.011561
0
0.034682
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
e266039bbbcd6e3039bb300d2339dbd7eae824b5
93
py
Python
models/policy/__init__.py
danilonumeroso/role
921c625f2675e8dab9e70d5ae0492f36ed189bd2
[ "MIT" ]
1
2021-06-24T16:30:45.000Z
2021-06-24T16:30:45.000Z
models/policy/__init__.py
danilonumeroso/chess-rl
921c625f2675e8dab9e70d5ae0492f36ed189bd2
[ "MIT" ]
null
null
null
models/policy/__init__.py
danilonumeroso/chess-rl
921c625f2675e8dab9e70d5ae0492f36ed189bd2
[ "MIT" ]
null
null
null
from .decaying_eps_greedy import DecayingEpsilonGreedy from .eps_greedy import EpsilonGreedy
31
54
0.892473
11
93
7.272727
0.636364
0.225
0.375
0
0
0
0
0
0
0
0
0
0.086022
93
2
55
46.5
0.941176
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
2c4d0ba10e65041d74d830e19a945cb53e224681
2,794
py
Python
predictions_writer.py
MANASLU8/tf_ner
fd23d7bb33383458571cf90de0a815e49698b53b
[ "Apache-2.0" ]
null
null
null
predictions_writer.py
MANASLU8/tf_ner
fd23d7bb33383458571cf90de0a815e49698b53b
[ "Apache-2.0" ]
null
null
null
predictions_writer.py
MANASLU8/tf_ner
fd23d7bb33383458571cf90de0a815e49698b53b
[ "Apache-2.0" ]
1
2020-01-19T16:29:51.000Z
2020-01-19T16:29:51.000Z
from pathlib import Path import functools def write_predictions(name, input_fn, fwords, ftags, generator_fn, estimator): Path('results/score').mkdir(parents=True, exist_ok=True) with Path('results/score/{}.preds.txt'.format(name)).open('wb') as f: test_inpf = functools.partial(input_fn, fwords(name), f...
54.784314
93
0.607731
382
2,794
4.267016
0.13089
0.058896
0.063804
0.083436
0.966258
0.966258
0.966258
0.966258
0.966258
0.966258
0
0
0.238368
2,794
50
94
55.88
0.765977
0
0
0.869565
0
0
0.070866
0.03937
0
0
0
0
0
1
0.086957
false
0
0.043478
0
0.130435
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2c60f702544bdeb805947bb2bec1957126bf8417
171
py
Python
ibsng/handler/ras/get_ras_descriptions.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
6
2018-03-06T10:16:36.000Z
2021-12-05T12:43:10.000Z
ibsng/handler/ras/get_ras_descriptions.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
3
2018-03-06T10:27:08.000Z
2022-01-02T15:21:27.000Z
ibsng/handler/ras/get_ras_descriptions.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
3
2018-01-06T16:28:31.000Z
2018-09-17T19:47:19.000Z
"""Get ras description API method.""" from ibsng.handler.handler import Handler class getRasDescriptions(Handler): """Get ras description method class.""" pass
19
43
0.725146
20
171
6.2
0.6
0.096774
0.274194
0
0
0
0
0
0
0
0
0
0.163743
171
8
44
21.375
0.867133
0.380117
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
3929c913a134895fafd19baa1b23d8d29964ca03
97
py
Python
pythonProject1/chap2/demo12.py
zhudi7/pythonAK
d52995a4c35a3c9aeb1542922e9d786f4dcc8d1c
[ "Apache-2.0" ]
null
null
null
pythonProject1/chap2/demo12.py
zhudi7/pythonAK
d52995a4c35a3c9aeb1542922e9d786f4dcc8d1c
[ "Apache-2.0" ]
null
null
null
pythonProject1/chap2/demo12.py
zhudi7/pythonAK
d52995a4c35a3c9aeb1542922e9d786f4dcc8d1c
[ "Apache-2.0" ]
null
null
null
# 公众号:MarkerJava # 开发时间:2020/10/5 17:25 print(153 % 10) print(153 // 10 % 10) print(153 // 100)
13.857143
22
0.628866
18
97
3.388889
0.611111
0.393443
0.327869
0
0
0
0
0
0
0
0
0.3625
0.175258
97
6
23
16.166667
0.4
0.360825
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
0
0
null
1
1
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
8
1a458de4970c6e88db33bcdeb2a6316bf3e67cb1
112
py
Python
tests/RDkit/__init__.py
niladell/DockStream
75f06d24a95699cdc06fe1ea021e213e1d9fa5b3
[ "Apache-2.0" ]
34
2021-08-05T06:28:30.000Z
2022-03-17T02:42:49.000Z
tests/RDkit/__init__.py
niladell/DockStream
75f06d24a95699cdc06fe1ea021e213e1d9fa5b3
[ "Apache-2.0" ]
9
2021-08-31T10:35:51.000Z
2022-02-03T08:57:58.000Z
tests/RDkit/__init__.py
niladell/DockStream
75f06d24a95699cdc06fe1ea021e213e1d9fa5b3
[ "Apache-2.0" ]
10
2021-08-12T02:32:11.000Z
2022-01-19T11:51:33.000Z
from tests.RDkit.test_RDkit_ligand_preparation import * from tests.RDkit.test_RDkit_stereo_enumeration import *
37.333333
55
0.875
16
112
5.75
0.5625
0.195652
0.304348
0.391304
0.5
0
0
0
0
0
0
0
0.071429
112
2
56
56
0.884615
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
1a52a103d1856c66f88ae0087a7d8a0e8f0e8e1c
89
py
Python
compsim/generate/__init__.py
skyman/CompressionSimulator
b484f41845aa16e3e3e057a1d7739909d0dff0df
[ "MIT" ]
null
null
null
compsim/generate/__init__.py
skyman/CompressionSimulator
b484f41845aa16e3e3e057a1d7739909d0dff0df
[ "MIT" ]
null
null
null
compsim/generate/__init__.py
skyman/CompressionSimulator
b484f41845aa16e3e3e057a1d7739909d0dff0df
[ "MIT" ]
null
null
null
# coding=utf-8 from randgen import generate_random_grid, generate_random_separation_grid
29.666667
73
0.876404
13
89
5.615385
0.769231
0.383562
0
0
0
0
0
0
0
0
0
0.012195
0.078652
89
2
74
44.5
0.878049
0.134831
0
0
1
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
1ac425f1f2c726d364ec29964862548e267bf110
173,663
py
Python
FAD_Result.py
Sameerpython/Bindingdata
e13d1c152339117ee33e6084da3f34aae222dbcd
[ "MIT" ]
null
null
null
FAD_Result.py
Sameerpython/Bindingdata
e13d1c152339117ee33e6084da3f34aae222dbcd
[ "MIT" ]
null
null
null
FAD_Result.py
Sameerpython/Bindingdata
e13d1c152339117ee33e6084da3f34aae222dbcd
[ "MIT" ]
null
null
null
#!/usr/bin/python # Import modules for CGI handling import cgi, cgitb import webbrowser import urllib import urllib2 import re import sys, os from itertools import izip import requests from bs4 import BeautifulSoup import numpy as np import pandas as pd from collections import Counter import matplotlib import matplot...
43.124659
230
0.602736
21,083
173,663
4.729071
0.031637
0.026679
0.031293
0.021063
0.871047
0.853886
0.820888
0.775022
0.733639
0.714121
0
0.011495
0.255593
173,663
4,026
231
43.13537
0.759747
0.103741
0
0.684043
0
0.041489
0.224477
0.059838
0.010638
0
0
0
0
0
null
null
0
0.007092
null
null
0.26844
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
7
46be58177ae663a555c829902f79d75560404140
9,698
py
Python
main.py
AkeelMedina22/Packet-Filtering-using-Splay-Trees-and-Skip-Lists
28ccc7ef410e8de763b4ac55af2a2a8342f0a239
[ "MIT" ]
null
null
null
main.py
AkeelMedina22/Packet-Filtering-using-Splay-Trees-and-Skip-Lists
28ccc7ef410e8de763b4ac55af2a2a8342f0a239
[ "MIT" ]
null
null
null
main.py
AkeelMedina22/Packet-Filtering-using-Splay-Trees-and-Skip-Lists
28ccc7ef410e8de763b4ac55af2a2a8342f0a239
[ "MIT" ]
null
null
null
from Rule_Set import Rule_Set from Packet import Packet from Skip_List import SkipList from splaytree import SplayTree import matplotlib.pyplot as plt import numpy as np import time # ACL2 IP Packets and Rule Set rules = Rule_Set() rules.get_rules("Data_set/acl2/acl2_8k/acl2-8k.txt") packet_8k = Packet(...
23.945679
93
0.641163
1,473
9,698
4.029192
0.065173
0.054591
0.060657
0.04246
0.888795
0.882898
0.881382
0.875484
0.843808
0.832013
0
0.039359
0.182615
9,698
404
94
24.004951
0.709348
0.056816
0
0.763485
0
0
0.156433
0.100632
0
0
0
0
0
1
0
false
0
0.029046
0
0.029046
0.078838
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
46d9da4b9a2e4061ad0ec881ba6d3301b4377f97
50,964
py
Python
tigershark/parsers/M270_4010_X092_A1.py
CloudCray/TigerShark
e27f1e775652576743518d9f2dfd57266f0c541f
[ "BSD-3-Clause" ]
19
2016-05-09T01:30:37.000Z
2022-03-15T15:51:24.000Z
tigershark/parsers/M270_4010_X092_A1.py
CloudCray/TigerShark
e27f1e775652576743518d9f2dfd57266f0c541f
[ "BSD-3-Clause" ]
10
2016-04-11T14:55:54.000Z
2021-08-07T15:41:14.000Z
tigershark/parsers/M270_4010_X092_A1.py
CloudCray/TigerShark
e27f1e775652576743518d9f2dfd57266f0c541f
[ "BSD-3-Clause" ]
11
2015-10-15T16:12:39.000Z
2021-03-22T19:33:56.000Z
# # Generated by TigerShark.tools.convertPyX12 on 2012-10-03 14:38:27.454816 # from tigershark.X12.parse import Message, Loop, Segment, Composite, Element, Properties parsed_270_HEADER = Loop( u'HEADER', Properties(looptype=u'wrapper',repeat=u'1',pos=u'015',req_sit=u'R',desc=u'Table 1 - Header'), Segment( u'BHT', Prope...
70.489627
1,000
0.629837
9,439
50,964
3.326835
0.071088
0.055888
0.078021
0.039743
0.911248
0.891026
0.888447
0.884466
0.879403
0.875709
0
0.065534
0.113433
50,964
722
1,001
70.587258
0.629462
0.001413
0
0.725627
1
0
0.239943
0.002594
0
0
0
0
0
1
0
false
0
0.001393
0
0.001393
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
200f04ee442f9aa62304f99e6bceed48f3c78d52
1,414
py
Python
tests/end_to_end/scenarios/mam_on_fixed_server.py
norayr/biboumi
805671032d25ee6ce09ed75e8a385c04e9563cdd
[ "Zlib" ]
68
2015-01-29T21:07:37.000Z
2022-03-20T14:48:07.000Z
tests/end_to_end/scenarios/mam_on_fixed_server.py
norayr/biboumi
805671032d25ee6ce09ed75e8a385c04e9563cdd
[ "Zlib" ]
5
2016-10-24T18:34:30.000Z
2021-08-31T13:30:37.000Z
tests/end_to_end/scenarios/mam_on_fixed_server.py
norayr/biboumi
805671032d25ee6ce09ed75e8a385c04e9563cdd
[ "Zlib" ]
13
2015-12-11T15:19:05.000Z
2021-08-31T13:24:35.000Z
from scenarios import * conf = 'fixed_server' scenario = ( scenarios.channel_join_on_fixed_irc_server.scenario, send_stanza("<message from='{jid_one}/{resource_one}' to='#foo@{biboumi_host}' type='groupchat'><body>coucou</body></message>"), expect_stanza("/message[@from='#foo@{biboumi_host}/{nick_one...
64.272727
181
0.677511
185
1,414
4.994595
0.264865
0.075758
0.106061
0.091991
0.799784
0.772727
0.772727
0.772727
0.772727
0.772727
0
0.007752
0.087694
1,414
21
182
67.333333
0.708527
0.020509
0
0.142857
0
0.5
0.768619
0.68402
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
202ad4fa42c11ab180e333b37b7f51c8fc95814c
904
py
Python
cms_articles/signals/title.py
snegovick/django-cms-articles
f7397bd5e303be6ed50bc53b71e27e40f4087f94
[ "BSD-3-Clause" ]
9
2016-04-18T15:59:50.000Z
2019-09-12T07:11:15.000Z
cms_articles/signals/title.py
snegovick/django-cms-articles
f7397bd5e303be6ed50bc53b71e27e40f4087f94
[ "BSD-3-Clause" ]
6
2019-01-22T17:53:48.000Z
2020-07-19T17:35:31.000Z
cms_articles/signals/title.py
snegovick/django-cms-articles
f7397bd5e303be6ed50bc53b71e27e40f4087f94
[ "BSD-3-Clause" ]
4
2017-02-10T17:19:30.000Z
2020-02-02T16:58:20.000Z
def pre_save_title(instance, **kwargs): ''' Update article.languages ''' if instance.article.languages: languages = instance.article.languages.split(',') else: languages = [] if instance.language not in languages: languages.append(instance.language) instance.article.l...
33.481481
57
0.669248
93
904
6.376344
0.268817
0.252951
0.242833
0.084317
0.870152
0.870152
0.870152
0.870152
0.870152
0.870152
0
0
0.215708
904
26
58
34.769231
0.836389
0.059735
0
0.7
0
0
0.004808
0
0
0
0
0
0
1
0.1
false
0
0
0
0.1
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
204bc73f8264be5840571820b7b0e7b92b44a563
30,165
py
Python
lib/fast_rcnn/test.py
VitoChien/py-mask-rcnn-multiGPU
0aaf997204442626f126bfcb86ca12e8c6d31725
[ "MIT" ]
9
2018-10-09T14:13:33.000Z
2021-04-12T08:22:52.000Z
lib/fast_rcnn/test.py
VitoChien/py-mask-rcnn-multiGPU
0aaf997204442626f126bfcb86ca12e8c6d31725
[ "MIT" ]
4
2018-12-08T02:42:18.000Z
2020-12-11T07:11:30.000Z
lib/fast_rcnn/test.py
VitoChien/py-mask-rcnn-multiGPU
0aaf997204442626f126bfcb86ca12e8c6d31725
[ "MIT" ]
5
2018-12-07T08:09:23.000Z
2019-12-06T07:52:24.000Z
# -------------------------------------------------------- # Fast R-CNN # Copyright (c) 2015 Microsoft # Licensed under The MIT License [see LICENSE for details] # Written by Ross Girshick # -------------------------------------------------------- """Test a Fast R-CNN network on an imdb (image database).""" from fast...
38.972868
136
0.593138
4,325
30,165
3.956763
0.091561
0.020102
0.011687
0.015193
0.801496
0.781277
0.776953
0.773622
0.77035
0.764507
0
0.016894
0.277872
30,165
774
137
38.972868
0.768719
0.151301
0
0.706667
0
0
0.05485
0
0
0
0
0.001292
0.006667
0
null
null
0
0.028889
null
null
0.028889
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
648ab8829e3046513cd358f92d5bee3480c20f69
16,638
py
Python
tests/test_mdtr.py
Devyani-Divs/mirrormanager2
c56bfdb363608c5ea701ce8f089ab1b09abc4de9
[ "MIT" ]
1
2015-11-08T08:56:33.000Z
2015-11-08T08:56:33.000Z
tests/test_mdtr.py
Devyani-Divs/mirrormanager2
c56bfdb363608c5ea701ce8f089ab1b09abc4de9
[ "MIT" ]
null
null
null
tests/test_mdtr.py
Devyani-Divs/mirrormanager2
c56bfdb363608c5ea701ce8f089ab1b09abc4de9
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- ''' mirrormanager2 tests for the `Move Devel To Release` (MDTL) script. ''' __requires__ = ['SQLAlchemy >= 0.7'] import pkg_resources import unittest import subprocess import sys import os sys.path.insert(0, os.path.join(os.path.dirname( os.path.abspath(__file__)), '..')) import mirror...
36.327511
78
0.602837
1,955
16,638
5.07468
0.10179
0.158754
0.119746
0.072573
0.866143
0.847193
0.832577
0.823103
0.808084
0.796291
0
0.042233
0.274192
16,638
457
79
36.407002
0.779314
0.024943
0
0.741848
0
0
0.296756
0.17912
0
0
0
0
0.288043
0
null
null
0
0.021739
null
null
0.002717
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
648f0edd698e37321d0c9ce88a74e10dbdcf7d99
35,444
py
Python
pyslam/feature_tracker_configs.py
dysdsyd/VO_benchmark
a7602edab934419c1ec73618ee655e18026f834f
[ "Apache-2.0" ]
2
2021-09-11T09:13:31.000Z
2021-11-03T01:39:56.000Z
pyslam/feature_tracker_configs.py
dysdsyd/VO_benchmark
a7602edab934419c1ec73618ee655e18026f834f
[ "Apache-2.0" ]
null
null
null
pyslam/feature_tracker_configs.py
dysdsyd/VO_benchmark
a7602edab934419c1ec73618ee655e18026f834f
[ "Apache-2.0" ]
null
null
null
""" * This file is part of PYSLAM * * Copyright (C) 2016-present Luigi Freda <luigi dot freda at gmail dot com> * * PYSLAM is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or ...
52.04699
159
0.49289
2,620
35,444
6.387405
0.10916
0.033463
0.071706
0.129071
0.840215
0.836391
0.833045
0.810218
0.795698
0.783269
0
0.019485
0.448313
35,444
680
160
52.123529
0.836351
0.076402
0
0.802281
0
0
0.022568
0
0
0
0
0
0
1
0
false
0
0.009506
0
0.062738
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
64b16ebfd26819bd4c8d9aa5796193c67ffe62b2
29,216
py
Python
includes/imagedata.py
take-a-CHANCE/weatherPi
7a67204faa65d7921239fe8b6b3cbd6fc25cc49a
[ "MIT" ]
null
null
null
includes/imagedata.py
take-a-CHANCE/weatherPi
7a67204faa65d7921239fe8b6b3cbd6fc25cc49a
[ "MIT" ]
null
null
null
includes/imagedata.py
take-a-CHANCE/weatherPi
7a67204faa65d7921239fe8b6b3cbd6fc25cc49a
[ "MIT" ]
null
null
null
## # @filename : imagedata.py # @brief : data file for epd demo # # Copyright (C) Waveshare July 26 2017 # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documnetation files (the "Software"), to deal # in the Software without re...
76.682415
80
0.787616
5,706
29,216
4.032422
0.039257
1.219349
1.647529
1.972793
0.824895
0.794472
0.751184
0.720414
0.669477
0.629841
0
0.26081
0.020845
29,216
380
81
76.884211
0.543503
0.0408
0
0.334286
0
0
0
0
0
0
0.787625
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
1
1
1
1
1
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
10
b380fa68848ab015f5370372d4fb624320582746
516
py
Python
py/examples/d_2d/image.py
heyfaraday/rustcmb
307e65c496db066c1e8a63d68b6feb585349de18
[ "MIT" ]
4
2019-10-23T16:05:31.000Z
2022-02-19T22:57:58.000Z
py/examples/d_2d/image.py
heyfaraday/rustcmb
307e65c496db066c1e8a63d68b6feb585349de18
[ "MIT" ]
3
2017-10-18T20:49:50.000Z
2018-02-25T21:39:51.000Z
py/examples/d_2d/image.py
heyfaraday/rustcmb
307e65c496db066c1e8a63d68b6feb585349de18
[ "MIT" ]
2
2019-10-23T16:05:34.000Z
2022-02-13T04:27:24.000Z
from numpy import * from pylab import * size = 8 plt.figure(figsize=(8, 8)) x, y, z = genfromtxt("../../../../data/out/rust-examples/d_2d/field.dat").T x = x.reshape(size + 1, size + 1) y = y.reshape(size + 1, size + 1) z = z.reshape(size + 1, size + 1) pcolor(x, y, z) show() plt.figure(figsize=(8, 8)) x, y, z = gen...
24.571429
83
0.598837
97
516
3.154639
0.278351
0.196078
0.235294
0.313725
0.862745
0.862745
0.862745
0.862745
0.862745
0.862745
0
0.043981
0.162791
516
20
84
25.8
0.664352
0
0
0.705882
0
0
0.205426
0.205426
0
0
0
0
0
1
0
false
0
0.117647
0
0.117647
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
b39562a2a1514a9a322ae5f74b1697ac87fb0d3f
6,857
py
Python
asap/priors.py
dr-guangtou/asap
4b796b9708ee1a1d854d4ddf6d5c6e811941f55e
[ "Unlicense" ]
2
2018-11-06T06:50:35.000Z
2018-11-06T14:24:05.000Z
asap/priors.py
dr-guangtou/asap
4b796b9708ee1a1d854d4ddf6d5c6e811941f55e
[ "Unlicense" ]
1
2018-11-02T17:55:32.000Z
2018-11-02T17:55:32.000Z
asap/priors.py
dr-guangtou/asap
4b796b9708ee1a1d854d4ddf6d5c6e811941f55e
[ "Unlicense" ]
null
null
null
"""Module contains different types of priors.""" from __future__ import print_function, division, unicode_literals import numpy as np from scipy.stats import t from scipy.stats import uniform __all__ = ['StudentT', 'TopHat'] class TopHat(object): """TopHat prior object. Based on the `prior` from `prospect...
26.577519
90
0.55622
841
6,857
4.483948
0.154578
0.038451
0.063113
0.079554
0.786794
0.773005
0.754707
0.754707
0.75232
0.72209
0
0.006556
0.332653
6,857
257
91
26.680934
0.817526
0.457489
0
0.397436
0
0
0.004956
0
0
0
0
0
0
1
0.294872
false
0
0.051282
0
0.653846
0.012821
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
7
b3a598ef8589cd400df46afe77c831146cd07e60
9,192
py
Python
jhdf/src/test/resources/scripts/chunked_v4_datasets.py
raedma/jhdf
4a8aebc6ff925592bfc541da2d7b7078aac17d37
[ "MIT" ]
null
null
null
jhdf/src/test/resources/scripts/chunked_v4_datasets.py
raedma/jhdf
4a8aebc6ff925592bfc541da2d7b7078aac17d37
[ "MIT" ]
null
null
null
jhdf/src/test/resources/scripts/chunked_v4_datasets.py
raedma/jhdf
4a8aebc6ff925592bfc541da2d7b7078aac17d37
[ "MIT" ]
null
null
null
# ------------------------------------------------------------------------------- # This file is part of jHDF. A pure Java library for accessing HDF5 files. # # http://jhdf.io # # Copyright (c) 2022 James Mudd # # MIT License see 'LICENSE' file # -------------------------------------------------------------------------...
70.167939
120
0.649913
1,200
9,192
4.724167
0.1125
0.10284
0.168284
0.166343
0.859234
0.841595
0.82272
0.763098
0.760452
0.760452
0
0.04161
0.197346
9,192
130
121
70.707692
0.726755
0.104656
0
0.221053
0
0
0.092692
0.011449
0
0
0
0.007692
0
1
0.010526
false
0
0.021053
0
0.031579
0.021053
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3775c0c219ee451dbeabe565b3e48ec12b1c6ae0
27,258
py
Python
tests/unit/test_str_numeric_op.py
ogarraux/jsnapy
801babf77cc2cb05a9a4843e1740d0d6eff8939d
[ "Apache-2.0" ]
null
null
null
tests/unit/test_str_numeric_op.py
ogarraux/jsnapy
801babf77cc2cb05a9a4843e1740d0d6eff8939d
[ "Apache-2.0" ]
1
2018-03-19T08:52:21.000Z
2018-03-19T08:52:21.000Z
tests/unit/test_str_numeric_op.py
ogarraux/jsnapy
801babf77cc2cb05a9a4843e1740d0d6eff8939d
[ "Apache-2.0" ]
null
null
null
import unittest import yaml from jnpr.jsnapy.check import Comparator from mock import patch import os from nose.plugins.attrib import attr @attr('unit') class TestStrNumericOperators(unittest.TestCase): def setUp(self): self.diff = False self.hostname = "1.1.1.1" self.db = dict() s...
38.230014
100
0.589588
3,399
27,258
4.416593
0.028832
0.04956
0.074341
0.04956
0.965561
0.965228
0.965228
0.965228
0.965228
0.965228
0
0.005023
0.291584
27,258
712
101
38.283708
0.772398
0.002605
0
0.872024
0
0
0.148759
0.069671
0
0
0
0
0.092262
1
0.047619
false
0.050595
0.008929
0
0.058036
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
379db272c1836e0c79b3ecbe84e55d961495b13b
742
py
Python
src/bgapi/dfu/rsp.py
GetAmbush/python-bgapi
985e5849275eb5e7cf794c30ef87e16ffa91fa63
[ "MIT" ]
5
2018-05-11T14:59:50.000Z
2021-04-29T07:51:43.000Z
src/bgapi/dfu/rsp.py
GetAmbush/python-bgapi
985e5849275eb5e7cf794c30ef87e16ffa91fa63
[ "MIT" ]
null
null
null
src/bgapi/dfu/rsp.py
GetAmbush/python-bgapi
985e5849275eb5e7cf794c30ef87e16ffa91fa63
[ "MIT" ]
2
2018-10-05T16:51:08.000Z
2020-08-10T18:24:16.000Z
from struct import (unpack_from, calcsize) def flash_set_address(data: bytes, offset: int = 0): FORMAT = '<H' result, = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, } return payload, offset def flash_upload(data: bytes, offset: int...
23.1875
54
0.621294
86
742
5.255814
0.244186
0.159292
0.099558
0.119469
0.871681
0.871681
0.871681
0.871681
0.871681
0.871681
0
0.005415
0.253369
742
31
55
23.935484
0.810469
0
0
0.72
0
0
0.032345
0
0
0
0
0
0
1
0.12
false
0
0.04
0
0.28
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
37ccd02ddc2f2e185efbdfd574521b4cf864289e
3,939
py
Python
test_bing.py
mingming1205/open_automation_quiz
bea6c4b775a61a71c118f82f963bf12f97f2406c
[ "MIT" ]
null
null
null
test_bing.py
mingming1205/open_automation_quiz
bea6c4b775a61a71c118f82f963bf12f97f2406c
[ "MIT" ]
null
null
null
test_bing.py
mingming1205/open_automation_quiz
bea6c4b775a61a71c118f82f963bf12f97f2406c
[ "MIT" ]
null
null
null
#! /usr/bin/env python #-*- coding:utf-8 -*- #created by zc on Sep9th,2020 import os import time import pytest from selenium import webdriver from selenium.webdriver.support.select import Select from selenium.webdriver import ActionChains from HTMLTestRunner import HTMLTestRunner def test_searchbing(...
31.015748
70
0.631886
516
3,939
4.583333
0.224806
0.07611
0.086258
0.096406
0.830867
0.830867
0.830867
0.827907
0.827907
0.827907
0
0.01885
0.218837
3,939
126
71
31.261905
0.749756
0.017517
0
0.838384
0
0
0.136364
0.039037
0
0
0
0
0
1
0.040404
false
0
0.070707
0
0.111111
0.10101
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8075f4c1e5a8ec3c0940f7f15ca56f9febdf0251
36,821
py
Python
napalm_yang/models/openconfig/network_instances/network_instance/segment_routing/srlbs/srlb/state/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
64
2016-10-20T15:47:18.000Z
2021-11-11T11:57:32.000Z
napalm_yang/models/openconfig/network_instances/network_instance/segment_routing/srlbs/srlb/state/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
126
2016-10-05T10:36:14.000Z
2019-05-15T08:43:23.000Z
napalm_yang/models/openconfig/network_instances/network_instance/segment_routing/srlbs/srlb/state/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
63
2016-11-07T15:23:08.000Z
2021-09-22T14:41:16.000Z
# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListTy...
42.864959
651
0.58635
4,348
36,821
4.74471
0.049908
0.063984
0.044789
0.051091
0.981823
0.971304
0.971304
0.971304
0.971304
0.971304
0
0.023195
0.292795
36,821
858
652
42.914918
0.769048
0.206974
0
0.874233
0
0.021472
0.304141
0.14617
0
0
0
0
0
1
0.042945
false
0
0.023006
0
0.111963
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
80f5cff111335fec246dd423b12bdb4caee210c8
200
py
Python
Python cursoemvideo/ex005.py
heldermedeiros/Python-em-video
eff781642f262c22d9b99423e825b57d68ee5a3e
[ "MIT" ]
null
null
null
Python cursoemvideo/ex005.py
heldermedeiros/Python-em-video
eff781642f262c22d9b99423e825b57d68ee5a3e
[ "MIT" ]
null
null
null
Python cursoemvideo/ex005.py
heldermedeiros/Python-em-video
eff781642f262c22d9b99423e825b57d68ee5a3e
[ "MIT" ]
null
null
null
int("1") print(type(1)) soma=1+1 print(soma) print("5+2= ",5+2) print("5-2= ",5-2) print("5*2= ",5*2) print("5**2= ",5**2) print("5/2= ",5/2) print("5//2= ",5//2) print("5%2= ",5%2) print("5+2= ",5+2)
16.666667
20
0.505
50
200
2.02
0.14
0.316832
0.554455
0.633663
0.712871
0.712871
0.712871
0.712871
0.712871
0.712871
0
0.198895
0.095
200
12
21
16.666667
0.359116
0
0
0.166667
0
0
0.21393
0
0
0
0
0
0
1
0
false
0
0
0
0
0.833333
0
0
0
null
1
1
1
0
1
1
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
10
206ba526f89245d8255cc197e861d7b4b307b8ac
52,310
py
Python
napalm_yang/models/openconfig/network_instances/network_instance/policy_forwarding/policies/policy/rules/rule/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
64
2016-10-20T15:47:18.000Z
2021-11-11T11:57:32.000Z
napalm_yang/models/openconfig/network_instances/network_instance/policy_forwarding/policies/policy/rules/rule/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
126
2016-10-05T10:36:14.000Z
2019-05-15T08:43:23.000Z
napalm_yang/models/openconfig/network_instances/network_instance/policy_forwarding/policies/policy/rules/rule/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
63
2016-11-07T15:23:08.000Z
2021-09-22T14:41:16.000Z
# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListTy...
38.921131
386
0.594418
5,414
52,310
5.5157
0.038604
0.073337
0.053446
0.06021
0.987442
0.980175
0.980175
0.980175
0.980175
0.980175
0
0.002325
0.309272
52,310
1,343
387
38.950112
0.824145
0.197075
0
0.88932
0
0.013592
0.258576
0.088474
0
0
0
0
0
1
0.04466
false
0
0.026214
0
0.11165
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2097391972054eac44f85f1274d471b62c4f974a
83
py
Python
release/scripts/presets/framerate/25.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
365
2015-02-10T15:10:55.000Z
2022-03-03T15:50:51.000Z
release/scripts/presets/framerate/25.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
45
2015-01-09T15:34:20.000Z
2021-10-05T14:44:23.000Z
release/scripts/presets/framerate/25.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
172
2015-01-25T15:16:53.000Z
2022-01-31T08:25:36.000Z
import bpy bpy.context.scene.render.fps = 25 bpy.context.scene.render.fps_base = 1
20.75
37
0.783133
15
83
4.266667
0.6
0.3125
0.46875
0.65625
0.75
0
0
0
0
0
0
0.04
0.096386
83
3
38
27.666667
0.813333
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
20a91efce66b98b0e0c04de015861910d9c80361
116
py
Python
python/testData/inspections/PyMethodOverridingInspection/DefaultArgument.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/inspections/PyMethodOverridingInspection/DefaultArgument.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/inspections/PyMethodOverridingInspection/DefaultArgument.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
class B: def foo(self, arg1): pass class C(B): def foo(self, arg1, arg2=None): #pass pass
12.888889
41
0.525862
18
116
3.388889
0.555556
0.131148
0.229508
0.360656
0.491803
0
0
0
0
0
0
0.039474
0.344828
116
8
42
14.5
0.763158
0.034483
0
0.333333
0
0
0
0
0
0
0
0
0
1
0.333333
false
0.333333
0
0
0.666667
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
7
20ca9c65dbaf784540937c3a8b54d514029daeca
17,444
py
Python
src/tests/tests.py
vtbassmatt/django-expression-fields
5bdf58087126ab0ce913ed84021c8476c2e7d901
[ "MIT" ]
20
2015-10-03T05:26:35.000Z
2021-11-27T19:38:28.000Z
src/tests/tests.py
vtbassmatt/django-expression-fields
5bdf58087126ab0ce913ed84021c8476c2e7d901
[ "MIT" ]
null
null
null
src/tests/tests.py
vtbassmatt/django-expression-fields
5bdf58087126ab0ce913ed84021c8476c2e7d901
[ "MIT" ]
1
2021-11-25T18:43:37.000Z
2021-11-25T18:43:37.000Z
import unittest from decimal import Decimal from django.forms import Form from expression_fields.fields import DivideDecimalField, DecimalExpressionField class DivDecForm(Form): field1 = DivideDecimalField(max_digits=5, decimal_places=2, required=False) field2 = DivideDecimalField(max_digits=4, decimal_places...
50.416185
99
0.616602
2,028
17,444
5.199211
0.065582
0.173558
0.051119
0.087633
0.894348
0.879078
0.866939
0.835262
0.825209
0.809086
0
0.067999
0.18224
17,444
345
100
50.562319
0.671153
0.044141
0
0.661417
0
0
0.147949
0
0
0
0
0
0.685039
1
0.047244
false
0
0.015748
0
0.106299
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
20cb4d63b79da18793744b107461f14ca2217fcf
37,690
py
Python
View/Control/Collection.py
parente/clique
e0a36e592d194a822f0078781d08a2d1aa63c9e4
[ "BSD-3-Clause" ]
3
2015-05-02T10:00:50.000Z
2018-10-26T02:42:13.000Z
View/Control/Collection.py
parente/clique
e0a36e592d194a822f0078781d08a2d1aa63c9e4
[ "BSD-3-Clause" ]
null
null
null
View/Control/Collection.py
parente/clique
e0a36e592d194a822f0078781d08a2d1aa63c9e4
[ "BSD-3-Clause" ]
1
2018-10-26T02:42:14.000Z
2018-10-26T02:42:14.000Z
''' Defines classes for browsing collections of items like lists or trees. @author: Peter Parente <parente@cs.unc.edu> @copyright: Copyright (c) 2008 Peter Parente @license: BSD License All rights reserved. This program and the accompanying materials are made available under the terms of The BSD License which accompa...
34.546288
82
0.656487
4,524
37,690
5.456897
0.077144
0.039211
0.032406
0.033054
0.84028
0.811885
0.794669
0.772755
0.74918
0.716612
0
0.000773
0.244548
37,690
1,090
83
34.577982
0.866259
0.417485
0
0.748988
0
0
0.03983
0
0
0
0
0
0
1
0.119433
false
0.004049
0.002024
0
0.226721
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
20d74829c0d10698f13a90d95ad16e924e06a537
37,217
py
Python
trojsten/reviews/tests.py
MvonK/web
b701a6ea8fb6f0bdfb720e66d0a430db13db8bff
[ "MIT" ]
5
2018-04-22T22:44:02.000Z
2021-04-26T20:44:44.000Z
trojsten/reviews/tests.py
MvonK/web
b701a6ea8fb6f0bdfb720e66d0a430db13db8bff
[ "MIT" ]
250
2018-04-24T12:04:11.000Z
2022-03-09T06:56:47.000Z
trojsten/reviews/tests.py
MvonK/web
b701a6ea8fb6f0bdfb720e66d0a430db13db8bff
[ "MIT" ]
8
2019-04-28T11:33:03.000Z
2022-02-26T13:30:36.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- import io import shutil import sys import tempfile import zipfile from os import path from django.conf import settings from django.contrib.auth.models import Group from django.contrib.sites.models import Site from django.core.files.uploadedfile import SimpleUploadedFile fr...
38.487073
113
0.625037
4,386
37,217
5.100319
0.078431
0.02861
0.031381
0.035673
0.84135
0.824721
0.812025
0.789763
0.775458
0.757667
0
0.012646
0.258457
37,217
966
114
38.526915
0.79792
0.012817
0
0.704276
0
0.002375
0.07716
0.012279
0
0
0
0.001035
0.087886
1
0.06057
false
0.015439
0.032067
0
0.10095
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
4557ecfd9097806ebda9fb7d86243f13bafec3a0
6,130
py
Python
tests/scripts/test_pkgcheck_show.py
floppym/pkgcheck
07215eac255a88b3a0c351f35626a1c79d9f2632
[ "BSD-3-Clause" ]
18
2015-04-24T23:15:30.000Z
2022-02-14T04:14:56.000Z
tests/scripts/test_pkgcheck_show.py
floppym/pkgcheck
07215eac255a88b3a0c351f35626a1c79d9f2632
[ "BSD-3-Clause" ]
351
2015-03-08T07:07:47.000Z
2022-03-21T11:57:58.000Z
tests/scripts/test_pkgcheck_show.py
floppym/pkgcheck
07215eac255a88b3a0c351f35626a1c79d9f2632
[ "BSD-3-Clause" ]
19
2015-03-08T01:16:10.000Z
2022-03-17T10:37:26.000Z
import itertools from functools import partial from unittest.mock import patch import pytest from pkgcheck import __title__ as project from pkgcheck import base, objects from pkgcheck.addons import caches from pkgcheck.scripts import run class TestPkgcheckShow: script = partial(run, project) @pytest.fixtur...
38.553459
69
0.514845
652
6,130
4.779141
0.139571
0.06258
0.042362
0.056483
0.811617
0.794288
0.77439
0.77439
0.77439
0.77439
0
0.002877
0.376346
6,130
158
70
38.797468
0.812189
0.054323
0
0.756098
0
0
0.033725
0
0
0
0
0
0.268293
1
0.056911
false
0
0.065041
0
0.138211
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b3447643bc55400e00274745b46d7ceb13d1e340
22,245
py
Python
semitorchclass.py
yuachen/CausalDA
5e376d209b6632b4920482db4bbe2727086ce133
[ "MIT" ]
15
2020-10-30T14:28:43.000Z
2022-03-30T07:12:59.000Z
semitorchclass.py
yuachen/CausalDA
5e376d209b6632b4920482db4bbe2727086ce133
[ "MIT" ]
2
2022-01-22T06:30:25.000Z
2022-02-10T03:07:00.000Z
semitorchclass.py
yuachen/CausalDA
5e376d209b6632b4920482db4bbe2727086ce133
[ "MIT" ]
null
null
null
""" ``semitorchclass`` provides classes implementing various domain adaptation methods using torch and gradient method. All domain adaptation methods have to be subclass of BaseEstimator. This implementation takes advantage of gradient method to optimize covariance match or MMD match in addition to mean match. """ fro...
35.936995
154
0.567139
2,874
22,245
4.300278
0.092902
0.025488
0.025488
0.007929
0.805729
0.79966
0.783963
0.757909
0.744397
0.725625
0
0.027882
0.303484
22,245
618
155
35.995146
0.769782
0.122095
0
0.782609
0
0
0.01709
0
0
0
0
0
0
1
0.08238
false
0
0.016018
0.016018
0.199085
0.002288
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2fd70f35f3a2ab4727a44f5561b1b6228f9347b9
60
py
Python
tests/test_ttarray.py
sonnerm/ttarray
c962cb2be303dfdb6743aa802bd11b89043e7b71
[ "MIT" ]
null
null
null
tests/test_ttarray.py
sonnerm/ttarray
c962cb2be303dfdb6743aa802bd11b89043e7b71
[ "MIT" ]
null
null
null
tests/test_ttarray.py
sonnerm/ttarray
c962cb2be303dfdb6743aa802bd11b89043e7b71
[ "MIT" ]
null
null
null
import pytest import ttarray def test_something(): pass
12
21
0.766667
8
60
5.625
0.875
0
0
0
0
0
0
0
0
0
0
0
0.183333
60
4
22
15
0.918367
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
true
0.25
0.5
0
0.75
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
1
1
0
1
0
0
7
6406f8cbda6175caa1a4d0f74f58b756f7d28f22
6,821
py
Python
loldib/getratings/models/NA/na_kassadin/na_kassadin_bot.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_kassadin/na_kassadin_bot.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_kassadin/na_kassadin_bot.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
from getratings.models.ratings import Ratings class NA_Kassadin_Bot_Aatrox(Ratings): pass class NA_Kassadin_Bot_Ahri(Ratings): pass class NA_Kassadin_Bot_Akali(Ratings): pass class NA_Kassadin_Bot_Alistar(Ratings): pass class NA_Kassadin_Bot_Amumu(Ratings): pass class NA_Kassadin_Bot_Anivia(...
16.357314
46
0.776133
972
6,821
5.020576
0.151235
0.197951
0.42418
0.509016
0.814139
0.814139
0
0
0
0
0
0
0.162879
6,821
416
47
16.396635
0.854641
0
0
0.498195
0
0
0
0
0
0
0
0
0
1
0
true
0.498195
0.00361
0
0.501805
0
0
0
0
null
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
0
0
1
0
0
7
640eb87ae946b66624c83e81f7a7d4c8a6f75cbd
6,996
py
Python
src/styles.py
topher-lo/simple-data-flow
b921037c5ef7f65533953d17ab4be9153a3e19a3
[ "MIT" ]
7
2021-05-04T13:28:49.000Z
2022-03-26T10:18:06.000Z
src/styles.py
topher-lo/simple-data-flow
b921037c5ef7f65533953d17ab4be9153a3e19a3
[ "MIT" ]
null
null
null
src/styles.py
topher-lo/simple-data-flow
b921037c5ef7f65533953d17ab4be9153a3e19a3
[ "MIT" ]
1
2021-05-17T09:16:30.000Z
2021-05-17T09:16:30.000Z
"""Code for custom Altair themes. Available themes: - streamlit -- matches theme in Streamlit website - ggplot2 -- hybrid between Streamlit's and ggplot2's themes. """ def streamlit_theme(): font = "IBM Plex Mono" primary_color = "#F63366" font_color = "#262730" grey_color = "#f0f2f6" base_size =...
30.819383
84
0.345483
432
6,996
5.412037
0.256944
0.102652
0.068435
0.061591
0.867408
0.867408
0.867408
0.867408
0.867408
0.867408
0
0.108961
0.519869
6,996
226
85
30.955752
0.587079
0.032447
0
0.872038
0
0
0.217816
0
0
0
0
0
0
1
0.009479
false
0.004739
0
0
0.018957
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
ff42a6ba8f96b677781f8a10c6c80c4b4f62f230
1,452
py
Python
examples/op_mode.py
thechenderson/bme68x-python-library
ba3d0235509487e7c556887d5e96e669130b1150
[ "MIT" ]
null
null
null
examples/op_mode.py
thechenderson/bme68x-python-library
ba3d0235509487e7c556887d5e96e669130b1150
[ "MIT" ]
null
null
null
examples/op_mode.py
thechenderson/bme68x-python-library
ba3d0235509487e7c556887d5e96e669130b1150
[ "MIT" ]
null
null
null
# This example tests and demonstrates the operation modes # FORCED_MODE, PARALLEL_MODE and SEQUENTIAL_MODE # Without use of BSEC and # With use of BSEC from bme68x import BME68X import bme68xConstants as cnst import bsecConstants as bsec temp_prof = [320, 100, 100, 100, 200, 200, 200, 320, 320, 320] dur_prof = [5, 2,...
36.3
83
0.777548
233
1,452
4.587983
0.23176
0.130964
0.072965
0.106642
0.739944
0.734331
0.714687
0.703461
0.703461
0.703461
0
0.072252
0.103994
1,452
39
84
37.230769
0.749424
0.098485
0
0.709677
0
0
0.115798
0
0
0
0
0
0
1
0
false
0
0.096774
0
0.096774
0.645161
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
ff76b4776ef37641df5ab7a9f43722dbf428457a
97
py
Python
libcsbuild/__init__.py
Suresoft-GLaDOS/cxbuild
1eb568bc11ae8854b1a6025c969ec94c96d6a4a9
[ "MIT" ]
2
2021-11-01T02:11:59.000Z
2021-11-04T09:19:45.000Z
libcsbuild/__init__.py
HansolChoe/cxbuild
c289e40efdf92f34e7781772b3b84e0a1c7d0af2
[ "MIT" ]
3
2021-11-04T06:23:38.000Z
2021-11-19T01:54:05.000Z
libcsbuild/__init__.py
HansolChoe/cxbuild
c289e40efdf92f34e7781772b3b84e0a1c7d0af2
[ "MIT" ]
2
2021-11-01T03:01:28.000Z
2021-11-04T09:19:28.000Z
from libcsbuild.variable import * from libcsbuild.console import * from libcsbuild.Args import *
24.25
33
0.814433
12
97
6.583333
0.5
0.531646
0.506329
0
0
0
0
0
0
0
0
0
0.123711
97
3
34
32.333333
0.929412
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
ff861e0535b060a27cbec23c0e99677ed389b40c
14,083
py
Python
deltaRNN.py
cr7anand/neural_temporal_models
0b72be14e1fba0ed681322994e09116496ff19e8
[ "MIT" ]
20
2019-07-05T09:27:20.000Z
2022-03-28T06:36:10.000Z
deltaRNN.py
cr7anand/neural_temporal_models
0b72be14e1fba0ed681322994e09116496ff19e8
[ "MIT" ]
4
2019-10-09T15:37:53.000Z
2020-05-26T08:24:02.000Z
deltaRNN.py
cr7anand/neural_temporal_models
0b72be14e1fba0ed681322994e09116496ff19e8
[ "MIT" ]
3
2020-04-27T07:56:01.000Z
2022-01-25T09:37:59.000Z
#""" #Author :- Ankur Mali #""" import os import sys import tensorflow as tf import numpy as np #from tensorflow.python.ops.rnn_cell import RNNCell #from rnn_cell_impl import RNNCell from rnn_cell_implement import RNNCell class DeltaRNNCell(RNNCell): #""" #Delta RNN - Differential Framework. #Alexander G....
38.373297
159
0.591848
1,736
14,083
4.483871
0.112903
0.043165
0.060123
0.051259
0.877184
0.867677
0.860868
0.855473
0.850462
0.849949
0
0.014074
0.318895
14,083
366
160
38.478142
0.797435
0.155507
0
0.804444
0
0
0.036624
0.001945
0
0
0
0
0.013333
1
0.097778
false
0
0.022222
0.04
0.222222
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
446195e2ac303682c42a162a978e93c5f3aaf75a
135,080
py
Python
nfv/nfv-plugins/nfv_plugins/nfvi_plugins/nfvi_compute_api.py
SidneyAn/nfv
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
[ "Apache-2.0" ]
null
null
null
nfv/nfv-plugins/nfv_plugins/nfvi_plugins/nfvi_compute_api.py
SidneyAn/nfv
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
[ "Apache-2.0" ]
null
null
null
nfv/nfv-plugins/nfv_plugins/nfvi_plugins/nfvi_compute_api.py
SidneyAn/nfv
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
[ "Apache-2.0" ]
null
null
null
# # Copyright (c) 2015-2018 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import collections import json from six.moves import http_client as httplib import socket import uuid from nfv_common import debug from nfv_common import timers from nfv_common.helpers import coroutine from nfv_common.helpe...
39.187699
84
0.555219
13,719
135,080
5.201618
0.036081
0.053475
0.016185
0.034136
0.83945
0.80366
0.772551
0.740587
0.714368
0.689508
0
0.000806
0.366205
135,080
3,446
85
39.199071
0.832724
0.023527
0
0.716184
0
0
0.102974
0.004779
0
0
0
0
0
1
0.026167
false
0.002818
0.007649
0.002013
0.075684
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
9290bc4c51d4adfeb3e35f4fa6da7942ab6ab775
3,723
py
Python
tspsolver/ga/test/mutation_test.py
samueljackson92/tsp-solver
4f6403b40c7ba9062a9b7ffdde5e7d594163bc2f
[ "MIT" ]
2
2018-12-03T14:37:48.000Z
2020-12-01T23:13:56.000Z
tspsolver/ga/test/mutation_test.py
samueljackson92/tsp-solver
4f6403b40c7ba9062a9b7ffdde5e7d594163bc2f
[ "MIT" ]
null
null
null
tspsolver/ga/test/mutation_test.py
samueljackson92/tsp-solver
4f6403b40c7ba9062a9b7ffdde5e7d594163bc2f
[ "MIT" ]
null
null
null
import unittest import nose.tools import numpy as np from scipy.spatial import distance_matrix from tspsolver.tsp_generator import TSPGenerator from ..population_generation import SimplePopulationGenerator from ..mutation import (SwapCityMutation, DisplacementMutation, InversionMutation, Insert...
32.373913
70
0.674725
462
3,723
5.179654
0.145022
0.045132
0.04346
0.040953
0.834099
0.787296
0.787296
0.787296
0.787296
0.787296
0
0.019441
0.212463
3,723
114
71
32.657895
0.796726
0
0
0.822785
0
0
0
0
0
0
0
0
0.139241
1
0.139241
false
0
0.088608
0
0.278481
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
92981972f37fcc016ce2da0ef71612c139a3d12a
5,568
py
Python
stac_fastapi_asset_search/client.py
cedadev/stac-asset-search-ext
aaacd7d072ec89f016361a856f42d3c5bac3b486
[ "BSD-3-Clause" ]
null
null
null
stac_fastapi_asset_search/client.py
cedadev/stac-asset-search-ext
aaacd7d072ec89f016361a856f42d3c5bac3b486
[ "BSD-3-Clause" ]
null
null
null
stac_fastapi_asset_search/client.py
cedadev/stac-asset-search-ext
aaacd7d072ec89f016361a856f42d3c5bac3b486
[ "BSD-3-Clause" ]
null
null
null
"""Base clients.""" import abc from datetime import datetime from typing import List, Optional, Union import attr from .types import Asset, AssetCollection, AssetSearchPostRequest, AssetSearchGetRequest from stac_fastapi.types.extension import ApiExtension from stac_fastapi.api.models import create_request_model Num...
33.341317
93
0.633441
595
5,568
5.796639
0.156303
0.051029
0.04639
0.044071
0.849522
0.819948
0.799072
0.779936
0.751522
0.751522
0
0.000967
0.256825
5,568
166
94
33.542169
0.832528
0.296157
0
0.782609
0
0
0.014104
0.01213
0
0
0
0
0
1
0.130435
false
0
0.076087
0
0.293478
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2baef738c5c00687be8fa00eeae91290de2c0332
3,979
py
Python
vmware-ose-common-test-suites/prj/test_data/test_object/test_object.py
csgtree/object-storage-extension-samples
397f3033ddd4aa1bb1e2079a9e77309a78cc0b0d
[ "Apache-2.0" ]
6
2020-09-11T02:52:42.000Z
2021-04-19T11:20:42.000Z
vmware-ose-common-test-suites/prj/test_data/test_object/test_object.py
csgtree/object-storage-extension-samples
397f3033ddd4aa1bb1e2079a9e77309a78cc0b0d
[ "Apache-2.0" ]
5
2020-12-21T20:14:59.000Z
2022-03-21T14:35:43.000Z
vmware-ose-common-test-suites/prj/test_data/test_object/test_object.py
csgtree/object-storage-extension-samples
397f3033ddd4aa1bb1e2079a9e77309a78cc0b0d
[ "Apache-2.0" ]
4
2021-07-20T09:07:52.000Z
2022-03-21T14:33:44.000Z
from framework.libs.common.utils import load_csv import os # TODO def test_copy_object_provider(): f_name = "test_copy_object_prov.csv" folder = os.path.dirname(__file__) return load_csv(os.path.join(folder, f_name)) def test_delete_object_provider(): f_name = "test_delete_object_prov.csv" folde...
28.421429
58
0.749686
620
3,979
4.282258
0.070968
0.082863
0.107721
0.140866
0.932957
0.896422
0.769115
0.723917
0.723917
0.723917
0
0.000587
0.143001
3,979
139
59
28.625899
0.778006
0.001005
0
0.478261
0
0
0.170652
0.163856
0
0
0
0.007194
0
1
0.23913
false
0.01087
0.021739
0
0.5
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
2bb50e9239c756b8398da4da092e7d9c3b7b8440
139
py
Python
src/sdios/api/sdis/__init__.py
hyperqube-io/sdios-api-sdk
17b9b2062933f2dd39cc5e929cd439eab60eba8a
[ "MIT" ]
null
null
null
src/sdios/api/sdis/__init__.py
hyperqube-io/sdios-api-sdk
17b9b2062933f2dd39cc5e929cd439eab60eba8a
[ "MIT" ]
null
null
null
src/sdios/api/sdis/__init__.py
hyperqube-io/sdios-api-sdk
17b9b2062933f2dd39cc5e929cd439eab60eba8a
[ "MIT" ]
null
null
null
from sdios.api.sdis.machine import MachineDriver from sdios.api.sdis.network import NetworkDriver from sdios.api.sdis.sdi import SDIDriver
34.75
48
0.848921
21
139
5.619048
0.52381
0.228814
0.305085
0.40678
0
0
0
0
0
0
0
0
0.086331
139
3
49
46.333333
0.929134
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
a69a0b577ea2950bef0ff2df42d1195edf26a35a
123
py
Python
src/syntaxd/__init__.py
noe/iterative_expansion_lms
a5533a60f6f749673dae2329eeae0646ee2b740d
[ "MIT" ]
5
2020-11-25T11:26:27.000Z
2021-03-31T14:19:40.000Z
src/syntaxd/__init__.py
noe/iterative_expansion_lms
a5533a60f6f749673dae2329eeae0646ee2b740d
[ "MIT" ]
1
2021-05-12T13:51:15.000Z
2021-05-12T13:51:15.000Z
src/syntaxd/__init__.py
noe/iterative_expansion_lms
a5533a60f6f749673dae2329eeae0646ee2b740d
[ "MIT" ]
null
null
null
from syntaxd.fairseq.task import * from syntaxd.fairseq.model.transformer import * from syntaxd.fairseq.criterion import *
30.75
47
0.821138
16
123
6.3125
0.5
0.326733
0.534653
0.475248
0
0
0
0
0
0
0
0
0.097561
123
4
48
30.75
0.90991
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
a69fac406e557948f64765a9dc163e61e0ab0ea9
6,708
py
Python
components/micropython/modules/hackerhotel2019/dashboard/resources/png_icons.py
badgeteam/Firmware
6192b2902c70beb7a298a256d9087274d045fbc0
[ "Apache-2.0" ]
7
2019-02-11T10:02:14.000Z
2019-08-02T00:08:45.000Z
components/micropython/modules/hackerhotel2019/dashboard/resources/png_icons.py
badgeteam/Firmware
6192b2902c70beb7a298a256d9087274d045fbc0
[ "Apache-2.0" ]
17
2019-01-05T18:02:11.000Z
2019-03-09T21:46:43.000Z
components/micropython/modules/hackerhotel2019/dashboard/resources/png_icons.py
badgeteam/Firmware
6192b2902c70beb7a298a256d9087274d045fbc0
[ "Apache-2.0" ]
4
2019-02-15T16:03:20.000Z
2019-06-27T22:23:24.000Z
import uos names = ["alert", "bell", "bug", "busy", "charge", "crown", "earth", "flag", "music", "ok", "wifi", "usb"] data = [ b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x14\x00\x00\x00\x14\x01\x03\x00\x00\x00\xb7G\x8fN\x00\x00\x00\x06PLTE\xff\xff\xff\x00\x00\x00U\xc2\xd3~\x00\x00\x00\tpHYs\x00\x00\x0e\xc4\x00\...
149.066667
633
0.729129
1,526
6,708
3.203145
0.216907
0.272504
0.163871
0.05401
0.480565
0.474427
0.469722
0.469722
0.469722
0.453151
0
0.30292
0.014759
6,708
44
634
152.454545
0.436677
0
0
0.206897
0
0.413793
0.946482
0.933512
0
0
0
0
0
1
0
false
0.068966
0.034483
0
0.034483
0
0
0
0
null
1
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
a6c7f91c25b0bddfbd85b1171655d57440f3dcce
1,865
py
Python
Validation/Rapports_automatiques/Verification/IBM_PDF/clean.py
cea-trust-platform/trust-code
c4f42d8f8602a8cc5e0ead0e29dbf0be8ac52f72
[ "BSD-3-Clause" ]
12
2021-06-30T18:50:38.000Z
2022-03-23T09:03:16.000Z
Validation/Rapports_automatiques/Verification/IBM_PDF/clean.py
pledac/trust-code
46ab5c5da3f674185f53423090f526a38ecdbad1
[ "BSD-3-Clause" ]
null
null
null
Validation/Rapports_automatiques/Verification/IBM_PDF/clean.py
pledac/trust-code
46ab5c5da3f674185f53423090f526a38ecdbad1
[ "BSD-3-Clause" ]
2
2021-10-04T09:19:39.000Z
2021-12-15T14:21:04.000Z
import os os.system("rm src/*/*.Zones*") os.system("rm src/*/*DEC*") os.system("rm src/*/*PAR*") os.system("rm src/*/*SEQ*") #POISEUILLE ALIGNED os.system("cd src/poiseuille_pdf_align && trust -clean") #POISEUILLE TILTED os.system("cd src/poiseuille_pdf_tilt_11_dir && trust -clean") os.system("cd src/poiseuille_pdf_...
47.820513
72
0.776944
319
1,865
4.181818
0.100313
0.173913
0.187406
0.243628
0.865817
0.865817
0.832834
0.804348
0.78036
0.6994
0
0.027923
0.078284
1,865
39
73
47.820513
0.748109
0.030563
0
0
0
0
0.764543
0.468698
0
0
0
0
0
1
0
true
0
0.033333
0
0.033333
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
11
5bdbf37e6b9276fbf48ed7bd3ac9926107f80886
140
py
Python
pyfacebook/api/instagram_basic/resource/__init__.py
sns-sdks/python-facebook
9536d30393dee8b2a887b81f103d76262a677eee
[ "Apache-2.0" ]
181
2019-08-28T10:03:49.000Z
2022-03-26T19:36:05.000Z
pyfacebook/api/instagram_basic/resource/__init__.py
sns-sdks/python-facebook
9536d30393dee8b2a887b81f103d76262a677eee
[ "Apache-2.0" ]
159
2019-08-28T10:07:43.000Z
2022-03-30T16:42:23.000Z
pyfacebook/api/instagram_basic/resource/__init__.py
sns-sdks/python-facebook
9536d30393dee8b2a887b81f103d76262a677eee
[ "Apache-2.0" ]
40
2019-09-10T20:12:47.000Z
2022-03-12T16:16:46.000Z
from pyfacebook.api.instagram_basic.resource.user import IGBasicUser from pyfacebook.api.instagram_basic.resource.media import IGBasicMedia
46.666667
70
0.885714
18
140
6.777778
0.611111
0.229508
0.278689
0.42623
0.639344
0.639344
0
0
0
0
0
0
0.057143
140
2
71
70
0.924242
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
750c0f6009442b2042080833151a9be6076073a0
7,879
py
Python
tests/core/test_print_tty.py
bhardiegodaddy/aws-okta-processor
a78e99dcfbdc03135cab509e3784308f66c2d825
[ "MIT" ]
63
2019-02-28T16:39:35.000Z
2022-03-04T19:36:17.000Z
tests/core/test_print_tty.py
bhardiegodaddy/aws-okta-processor
a78e99dcfbdc03135cab509e3784308f66c2d825
[ "MIT" ]
42
2019-04-12T22:18:15.000Z
2022-03-18T01:28:48.000Z
tests/core/test_print_tty.py
bhardiegodaddy/aws-okta-processor
a78e99dcfbdc03135cab509e3784308f66c2d825
[ "MIT" ]
16
2019-03-16T20:40:56.000Z
2022-03-29T13:59:38.000Z
from unittest import TestCase from mock import patch from mock import call from mock import MagicMock import aws_okta_processor.core.print_tty as print_tty class Test(TestCase): @patch('aws_okta_processor.core.print_tty.import_msvcrt') @patch('aws_okta_processor.core.print_tty.contextlib2') @patch('aws_o...
37.341232
90
0.674832
994
7,879
4.924547
0.075453
0.096425
0.101328
0.12666
0.972421
0.968948
0.94954
0.94954
0.94954
0.947089
0
0.005442
0.230359
7,879
210
91
37.519048
0.801781
0.003046
0
0.886486
0
0
0.175691
0.160148
0
0
0
0
0.151351
1
0.048649
false
0
0.183784
0
0.237838
0.297297
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
755c22370f1b6bc7d1af3dc14a5cd4ad5d40a140
111
py
Python
merkle_prefix_tree/__init__.py
abadhikari/merkle-prefix-tree
beac8c47c544d1ce1d507eadafbe694c0ac67a61
[ "MIT" ]
null
null
null
merkle_prefix_tree/__init__.py
abadhikari/merkle-prefix-tree
beac8c47c544d1ce1d507eadafbe694c0ac67a61
[ "MIT" ]
null
null
null
merkle_prefix_tree/__init__.py
abadhikari/merkle-prefix-tree
beac8c47c544d1ce1d507eadafbe694c0ac67a61
[ "MIT" ]
1
2021-12-02T08:31:27.000Z
2021-12-02T08:31:27.000Z
from merkle_prefix_tree.tree import MerklePrefixTree from merkle_prefix_tree.exceptions import AppendOnlyError
55.5
57
0.90991
14
111
6.928571
0.571429
0.206186
0.329897
0.412371
0
0
0
0
0
0
0
0
0.072072
111
2
57
55.5
0.941748
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
f3433894ff8d695fb1e2497632a47ce34d447dd9
13,376
py
Python
pybench/Exceptions.py
haypo/pymicrobench
7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4
[ "MIT" ]
3
2018-01-17T18:45:23.000Z
2020-10-02T06:26:03.000Z
pybench/Exceptions.py
vstinner/pymicrobench
7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4
[ "MIT" ]
null
null
null
pybench/Exceptions.py
vstinner/pymicrobench
7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4
[ "MIT" ]
4
2018-01-17T18:45:23.000Z
2020-10-08T15:24:51.000Z
# Ignore flake8 E722 warning in the whole file: # flake8: noqa import pyperf from six.moves import xrange from pybench import Test class TryRaiseExcept(Test): version = 2.0 operations = 2 + 3 + 3 inner_loops = 8 def test(self, loops): error = ValueError range_it = xrange(loops) ...
19.44186
47
0.243122
743
13,376
4.3607
0.065949
0.487654
0.625926
0.787037
0.925926
0.911728
0.911728
0.896296
0.896296
0.896296
0
0.007381
0.726525
13,376
687
48
19.47016
0.878349
0.006654
0
0.984709
0
0
0.00542
0
0
0
0
0
0
1
0.003058
false
0.470948
0.004587
0
0.022936
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
12
f3877c95da836efb30850a70a58dbe2d7d78ec9c
11,423
py
Python
platform/core/tests/test_auditor/test_auditor_permission.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
platform/core/tests/test_auditor/test_auditor_permission.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
platform/core/tests/test_auditor/test_auditor_permission.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
# pylint:disable=ungrouped-imports from unittest.mock import patch import pytest import auditor from events.registry import permission as permission_events from tests.test_auditor.utils import AuditorBaseTest @pytest.mark.auditor_mark class AuditorPermissionTest(AuditorBaseTest): """Testing subscribed events"...
44.972441
87
0.565701
1,011
11,423
6.059347
0.064293
0.089781
0.097943
0.052236
0.934215
0.887202
0.853738
0.853738
0.853738
0.853738
0
0.010906
0.365841
11,423
253
88
45.150198
0.83476
0.005165
0
0.806306
0
0
0.18225
0.170805
0
0
0
0
0.18018
1
0.04955
false
0
0.022523
0
0.081081
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f3953eab61ec80e70e1d8ec938382866c724f9e1
176
py
Python
{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/models/__init__.py
leotang1218/cookiecutter-flask-restful
fce15fefaa86a8818f9ea4cdb1f841066ca9efec
[ "MIT" ]
null
null
null
{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/models/__init__.py
leotang1218/cookiecutter-flask-restful
fce15fefaa86a8818f9ea4cdb1f841066ca9efec
[ "MIT" ]
null
null
null
{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/models/__init__.py
leotang1218/cookiecutter-flask-restful
fce15fefaa86a8818f9ea4cdb1f841066ca9efec
[ "MIT" ]
null
null
null
from {{cookiecutter.app_name}}.models.mongo.user import User from {{cookiecutter.app_name}}.models.mongo.blacklist import TokenBlacklist __all__ = ["User", "TokenBlacklist"]
29.333333
75
0.784091
21
176
6.285714
0.52381
0.242424
0.287879
0.348485
0.515152
0.515152
0
0
0
0
0
0
0.079545
176
5
76
35.2
0.814815
0
0
0
0
0
0.102273
0
0
0
0
0
0
0
null
null
0
0.666667
null
null
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
0
0
7
f3ab152e8f323507dd9f596711d9bee546123602
939,477
py
Python
projects/src/main/python/CodeJam/Y14R5P1/frank/generated_py_0d9ff97ab25c4fb6bc156877a2ccb79c.py
DynamicCodeSearch/CodeSeer
ee985ece7691691585952eb88565f0e08bdc9113
[ "MIT" ]
5
2020-04-05T18:04:13.000Z
2021-04-13T20:34:19.000Z
projects/src/main/python/CodeJam/Y14R5P1/frank/generated_py_0d9ff97ab25c4fb6bc156877a2ccb79c.py
DynamicCodeSearch/CodeSeer
ee985ece7691691585952eb88565f0e08bdc9113
[ "MIT" ]
1
2020-04-29T21:42:26.000Z
2020-05-01T23:45:45.000Z
projects/src/main/python/CodeJam/Y14R5P1/frank/generated_py_0d9ff97ab25c4fb6bc156877a2ccb79c.py
DynamicCodeSearch/CodeSeer
ee985ece7691691585952eb88565f0e08bdc9113
[ "MIT" ]
3
2020-01-27T16:02:14.000Z
2021-02-08T13:25:15.000Z
import sys sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python') from CodeJam.Y14R5P1.frank.p1 import * def func_9366e54e3ba44f0393fb0a116c8c29d2(sum0, ps, j, i, sum1): v1 = sum1[j] tmp = max(sum0[i], v1, ps - v1) return tmp def func_c7028f344ca34ff7823f76348131104a(sum0,...
31.27316
86
0.399409
128,132
939,477
2.918615
0.009319
0.056462
0.080285
0.083911
0.903735
0.903735
0.903714
0.903692
0.903508
0.90324
0
0.108419
0.453301
939,477
30,040
87
31.274201
0.619697
0
0
0.959722
0
0
0.022604
0.005159
0
0
0
0
0
0
null
null
0
0.000072
null
null
0.019491
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
45ebdaca1fb0ed459128e9b5189dfe0277fb3569
327
py
Python
checkers/staff/chklib/utils.py
amreo/ructfe-2019
19064842acc57243f16143a85c06a5613378ebec
[ "MIT" ]
23
2019-11-23T19:53:10.000Z
2021-02-19T06:13:28.000Z
checkers/staff/chklib/utils.py
amreo/ructfe-2019
19064842acc57243f16143a85c06a5613378ebec
[ "MIT" ]
3
2021-03-31T19:21:51.000Z
2021-06-08T20:31:48.000Z
checkers/staff/chklib/utils.py
amreo/ructfe-2019
19064842acc57243f16143a85c06a5613378ebec
[ "MIT" ]
3
2019-11-24T09:35:43.000Z
2021-02-19T06:13:29.000Z
from random import randint, randrange from string import ascii_uppercase def generate_flag(): return "".join(ascii_uppercase[randint(0, len(ascii_uppercase)-1)] for _ in range(31)) + "=" def generate_random_text(): return "".join(ascii_uppercase[randint(0, len(ascii_uppercase)-1)] for _ in range(randrange(3...
32.7
104
0.740061
47
327
4.93617
0.489362
0.301724
0.12931
0.206897
0.517241
0.517241
0.517241
0.517241
0.517241
0.517241
0
0.031469
0.125382
327
10
104
32.7
0.77972
0
0
0
1
0
0.003049
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0.333333
1
0
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
8
3408c87f0b0f4ebc68b594f489beba49f4e181eb
12,077
py
Python
plot_cutout_2d.py
pdn4kd/isochoric-expander
56bfdc3c7efb3a242ff4ae4c556d70bb7f171e5f
[ "MIT" ]
null
null
null
plot_cutout_2d.py
pdn4kd/isochoric-expander
56bfdc3c7efb3a242ff4ae4c556d70bb7f171e5f
[ "MIT" ]
null
null
null
plot_cutout_2d.py
pdn4kd/isochoric-expander
56bfdc3c7efb3a242ff4ae4c556d70bb7f171e5f
[ "MIT" ]
null
null
null
'''generates a list of false positives, etc. Also plots along the relevant parameter space.''' import numpy as np import matplotlib.pyplot as plt stars = np.genfromtxt("matched_65p.csv", delimiter=",", names=True, dtype=None) nplanets = [(1,7)] for minplanets, maxplanets in nplanets: f65p_false_per = [star["per"] for...
125.802083
565
0.677983
2,080
12,077
3.655288
0.065385
0.081941
0.084177
0.064448
0.888465
0.816257
0.796659
0.782454
0.715507
0.689596
0
0.061675
0.096464
12,077
95
566
127.126316
0.635081
0.064586
0
0
1
0
0.226004
0.005052
0
0
0
0
0
1
0
false
0
0.025
0
0.025
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
340b99c672475b2c9ff183951071d02a783897bc
3,670
py
Python
tools/fileinfo/bugs/mips-64-bit-multiple-relocations-in-one-entry/test.py
xbabka01/retdec-regression-tests
1ac40cca5165740364e6f7fb72b20820eac9bc7c
[ "MIT" ]
8
2017-12-14T14:25:17.000Z
2019-03-09T03:29:12.000Z
tools/fileinfo/bugs/mips-64-bit-multiple-relocations-in-one-entry/test.py
xbabka01/retdec-regression-tests
1ac40cca5165740364e6f7fb72b20820eac9bc7c
[ "MIT" ]
10
2019-06-14T09:12:55.000Z
2021-10-01T12:15:43.000Z
tools/fileinfo/bugs/mips-64-bit-multiple-relocations-in-one-entry/test.py
xbabka01/retdec-regression-tests
1ac40cca5165740364e6f7fb72b20820eac9bc7c
[ "MIT" ]
8
2019-05-10T14:59:48.000Z
2022-03-07T16:34:23.000Z
from regression_tests import * class Test1893MipsRelocations(Test): settings=TestSettings( tool='fileinfo', args='--json --verbose', input=['ioftell-le.o', 'ioftell-be.o'] ) def test_fileinfo_does_correctly_interpet_mips64_relocs(self): assert self.fileinfo.succeeded ...
54.776119
109
0.638692
360
3,670
6.441667
0.152778
0.150065
0.221216
0.31436
0.934455
0.934455
0.934455
0.934455
0.934455
0.829237
0
0.036748
0.162125
3,670
66
110
55.606061
0.717398
0
0
0.451613
0
0
0.298093
0
0
0
0.013352
0
0.467742
1
0.032258
false
0
0.016129
0
0.112903
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
9
344b1bd36b49b66eaa39053c18e65539dce491af
25,809
py
Python
sub_path.py
mckaymckay/Unsupervised-learning
46d627fc5b24043ebb6f2e3b4388b66be3ece7d5
[ "MIT" ]
null
null
null
sub_path.py
mckaymckay/Unsupervised-learning
46d627fc5b24043ebb6f2e3b4388b66be3ece7d5
[ "MIT" ]
null
null
null
sub_path.py
mckaymckay/Unsupervised-learning
46d627fc5b24043ebb6f2e3b4388b66be3ece7d5
[ "MIT" ]
null
null
null
[['0002/0091.png', '0002/0076.png', '0002/0017.png', '0002/0015.png', '0002/0014.png', '0002/0085.png', '0002/0082.png', '0002/0006.png', '0002/0087.png', '0002/0090.png', '0002/0009.png', '0002/0093.png', '0002/0011.png', '0002/0060.png', '0002/0007.png', '0002/0094.png', '0002/0075.png', '0002/0016.png', '0002/0013.p...
25,809
25,809
0.668953
4,389
25,809
3.89542
0.108909
0.024975
0.027198
0.002457
0
0
0
0
0
0
0
0.52764
0.054477
25,809
1
25,809
25,809
0.172971
0
0
0
0
0
0.777954
0.156219
0
0
0
0
0
1
0
true
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
1
0
0
0
0
0
1
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
7
ca9f480d442cc50ec868a762fd97ea48581c0c39
139
py
Python
app/main_page/routes.py
larsertoff/pwp
1f156e3efc7b93345197329425e2928a470d3092
[ "MIT" ]
null
null
null
app/main_page/routes.py
larsertoff/pwp
1f156e3efc7b93345197329425e2928a470d3092
[ "MIT" ]
null
null
null
app/main_page/routes.py
larsertoff/pwp
1f156e3efc7b93345197329425e2928a470d3092
[ "MIT" ]
null
null
null
import flask from app.main_page import main_page @main_page.route('/') def home_page(): return flask.render_template('main_page.html')
23.166667
50
0.769784
22
139
4.590909
0.590909
0.316832
0
0
0
0
0
0
0
0
0
0
0.107914
139
6
50
23.166667
0.814516
0
0
0
0
0
0.107143
0
0
0
0
0
0
1
0.2
true
0
0.4
0.2
0.8
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
1
1
0
0
7
cabd0ef9c18b55894f3df62603f91de2f905c778
5,408
py
Python
notebook/numpy_reshape.py
vhn0912/python-snippets
80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038
[ "MIT" ]
174
2018-05-30T21:14:50.000Z
2022-03-25T07:59:37.000Z
notebook/numpy_reshape.py
vhn0912/python-snippets
80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038
[ "MIT" ]
5
2019-08-10T03:22:02.000Z
2021-07-12T20:31:17.000Z
notebook/numpy_reshape.py
vhn0912/python-snippets
80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038
[ "MIT" ]
53
2018-04-27T05:26:35.000Z
2022-03-25T07:59:37.000Z
import numpy as np a = np.arange(24) print(a) # [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23] print(a.shape) # (24,) print(a.ndim) # 1 a_4_6 = a.reshape([4, 6]) print(a_4_6) # [[ 0 1 2 3 4 5] # [ 6 7 8 9 10 11] # [12 13 14 15 16 17] # [18 19 20 21 22 23]] print(a_4_6.shape)...
17.059937
75
0.537167
1,087
5,408
2.608096
0.078197
0.027513
0.037037
0.035273
0.86843
0.845503
0.814815
0.777072
0.748148
0.715344
0
0.254037
0.278661
5,408
316
76
17.113924
0.472699
0.655695
0
0.5
0
0
0.003599
0
0
0
0
0
0
1
0
false
0
0.015625
0
0.015625
0.671875
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
9
1b147e9d1b6e57f71054a7151e0d2dd17fff320e
16,676
py
Python
models/action.py
z1pti3/jimiPlugin-whoisxmlapi
422b864b96c71750fdbbc475e1def32cb078321a
[ "Apache-2.0" ]
1
2021-07-26T15:02:29.000Z
2021-07-26T15:02:29.000Z
models/action.py
z1pti3/jimiPlugin-whoisxmlapi
422b864b96c71750fdbbc475e1def32cb078321a
[ "Apache-2.0" ]
null
null
null
models/action.py
z1pti3/jimiPlugin-whoisxmlapi
422b864b96c71750fdbbc475e1def32cb078321a
[ "Apache-2.0" ]
null
null
null
from core.models import action from core import auth, db, helpers from plugins.whoisxmlapi.includes import whoisxmlapi class _whoisxmlapiWhois(action._action): apiToken = str() domainName = str() def run(self,data,persistentData,actionResult): domainName = helpers.evalString(self.domainName,{"dat...
40.673171
111
0.64236
1,584
16,676
6.72601
0.058712
0.031537
0.052562
0.054064
0.871598
0.867468
0.857049
0.776704
0.771447
0.771447
0
0.006405
0.250959
16,676
409
112
40.772616
0.84653
0
0
0.818991
0
0
0.090735
0
0
0
0
0
0
1
0.083086
false
0.083086
0.008902
0
0.391691
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
1b8679eac57b0f343c1142b3d666c8701d426e9b
4,570
py
Python
demo/config/datasets.py
heurezjusz/Athena
0bdda97b0e06dbb3c1699d4ed7875e4adc96d580
[ "BSD-2-Clause" ]
2
2016-02-02T12:59:39.000Z
2018-03-29T17:17:11.000Z
demo/config/datasets.py
heurezjusz/Athenet
0bdda97b0e06dbb3c1699d4ed7875e4adc96d580
[ "BSD-2-Clause" ]
5
2016-01-10T23:23:57.000Z
2016-03-26T16:29:42.000Z
demo/config/datasets.py
heurezjusz/Athena
0bdda97b0e06dbb3c1699d4ed7875e4adc96d580
[ "BSD-2-Clause" ]
1
2020-02-26T20:19:17.000Z
2020-02-26T20:19:17.000Z
""" Dataset - set (list) of configs given to algorithm as an input. "datasets" is a dictionary from algorithm shortcut to list of available datasets. Do not forget to update help message after changing! """ datasets = { "sender": [[(0.3, 0.75)], [(0.02, 1.0), (0.04, 1.0), (0.06, 1.0...
56.419753
79
0.332166
986
4,570
1.539554
0.076065
0.088274
0.12253
0.079051
0.848485
0.839921
0.820158
0.808959
0.808959
0.808959
0
0.393845
0.367177
4,570
80
80
57.125
0.131051
0.043326
0
0.416667
0
0
0.007591
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
1bda2780957fe0c5300e9a6fe582fcb79fcf8884
5,190
py
Python
api_connect/sampleClient.py
marctuscher/cv_pipeline
b641423e72ea292139a5e35a411e30c1e21c7070
[ "MIT" ]
1
2021-03-28T17:46:45.000Z
2021-03-28T17:46:45.000Z
api_connect/sampleClient.py
jayef0/cv_pipeline
dc3b79062174f583a3a90ac8deea918c498c0dd5
[ "MIT" ]
null
null
null
api_connect/sampleClient.py
jayef0/cv_pipeline
dc3b79062174f583a3a90ac8deea918c498c0dd5
[ "MIT" ]
null
null
null
import requests import json import numpy as np import sys import cv2 import base64 def predictGQCNN_pj(img, d, fx, fy, cx, cy, host='http://127.0.0.1:5000', width=640, height=480, encoded=False, segmask=None): url = host + '/gqcnnpj' headers = {'content-type': 'application/json'} if encoded: _ ,img...
51.386139
271
0.627746
754
5,190
4.220159
0.114058
0.084852
0.064111
0.069453
0.904148
0.893778
0.893778
0.884035
0.874607
0.874607
0
0.049556
0.175723
5,190
100
272
51.9
0.69425
0.016185
0
0.735632
0
0
0.147393
0
0
0
0
0
0
1
0.068966
false
0
0.068966
0
0.206897
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8467d9f2ad09d42f2838405e8e5f8b30332f23e8
3,882
py
Python
tests/test_build_ga_flattener_config.py
adswerve/google_analytics_flattener_ga4
c734ea6f18692a62b85803c45f9f6bc2fcaa7839
[ "BSD-3-Clause" ]
10
2021-10-12T07:35:24.000Z
2022-03-15T14:26:15.000Z
tests/test_build_ga_flattener_config.py
adswerve/google_analytics_flattener_ga4
c734ea6f18692a62b85803c45f9f6bc2fcaa7839
[ "BSD-3-Clause" ]
2
2021-10-13T22:04:33.000Z
2022-03-04T19:57:29.000Z
tests/test_build_ga_flattener_config.py
adswerve/google_analytics_flattener_ga4
c734ea6f18692a62b85803c45f9f6bc2fcaa7839
[ "BSD-3-Clause" ]
2
2021-07-30T04:15:52.000Z
2022-02-03T19:35:08.000Z
from tests.test_base import BaseUnitTest from cfconfigbuilder.main import FlattenerDatasetConfig from cfconfigbuilder.main import FlattenerDatasetConfigStorage from cfconfigbuilderps.main import FlattenerDatasetConfig as FlattenerDatasetConfigPS from cfconfigbuilderps.main import FlattenerDatasetConfigStorage as Flatte...
40.4375
103
0.645028
381
3,882
6.309711
0.186352
0.128952
0.053245
0.034942
0.749168
0.749168
0.749168
0.734193
0.712146
0.695507
0
0.002158
0.283617
3,882
95
104
40.863158
0.86228
0.066718
0
0.705882
0
0
0.033776
0
0
0
0
0.010526
0.279412
1
0.058824
false
0
0.073529
0
0.147059
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
7
8477e87a14dd4e5bb1c0e4a4b0850e23fc4bf833
138,570
py
Python
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/bgp/nxos/addremove.py
kecorbin/genielibs
5d3951b8911013691822e73e9c3d0f557ca10f43
[ "Apache-2.0" ]
null
null
null
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/bgp/nxos/addremove.py
kecorbin/genielibs
5d3951b8911013691822e73e9c3d0f557ca10f43
[ "Apache-2.0" ]
null
null
null
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/bgp/nxos/addremove.py
kecorbin/genielibs
5d3951b8911013691822e73e9c3d0f557ca10f43
[ "Apache-2.0" ]
null
null
null
'''NXOS Implementation for BGP addremove triggers''' # python import re import logging from functools import partial log = logging.getLogger(__name__) # Genie Libs from genie.libs.sdk.libs.utils.mapping import Mapping from genie.libs.sdk.libs.utils.triggeractions import Configure from genie.libs.sdk.libs.utils.mappi...
60.749671
211
0.474287
12,851
138,570
5.00607
0.031048
0.020145
0.031337
0.036886
0.929974
0.923383
0.916
0.911756
0.907466
0.904621
0
0.010814
0.410731
138,570
2,280
212
60.776316
0.77705
0.029436
0
0.840059
0
0.001476
0.714346
0.025605
0
0
0
0
0
1
0.000492
false
0.004921
0.005413
0
0.045768
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
847df8dd6516b71d9bdbf9e25cb6384f4f489a67
2,994
py
Python
terrascript/openstack/d.py
hugovk/python-terrascript
08fe185904a70246822f5cfbdc9e64e9769ec494
[ "BSD-2-Clause" ]
507
2017-07-26T02:58:38.000Z
2022-01-21T12:35:13.000Z
terrascript/openstack/d.py
hugovk/python-terrascript
08fe185904a70246822f5cfbdc9e64e9769ec494
[ "BSD-2-Clause" ]
135
2017-07-20T12:01:59.000Z
2021-10-04T22:25:40.000Z
terrascript/openstack/d.py
hugovk/python-terrascript
08fe185904a70246822f5cfbdc9e64e9769ec494
[ "BSD-2-Clause" ]
81
2018-02-20T17:55:28.000Z
2022-01-31T07:08:40.000Z
# terrascript/openstack/d.py import terrascript class openstack_blockstorage_availability_zones_v3(terrascript.Data): pass class openstack_blockstorage_snapshot_v2(terrascript.Data): pass class openstack_blockstorage_snapshot_v3(terrascript.Data): pass class openstack_blockstorage_volume_v2(terrascr...
17.508772
75
0.814963
358
2,994
6.418994
0.173184
0.255875
0.347258
0.428198
0.848129
0.848129
0.712359
0.218451
0.067885
0
0
0.01608
0.127589
2,994
170
76
17.611765
0.863706
0.008684
0
0.494118
0
0
0
0
0
0
0
0
0
1
0
true
0.494118
0.011765
0
0.505882
0
0
0
0
null
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
0
0
1
0
0
9
84c24fc553669171e2bf8ac39ff01200719091df
44
py
Python
NAAL-fpga_pynq/NAAL-fpga/utils/__init__.py
neurom-iot/naal
2644cd289c16fec283443f2d33c8f7173f3e455c
[ "MIT" ]
12
2019-03-15T17:21:06.000Z
2021-12-29T07:00:53.000Z
NAAL-pynq/NAAL_pynq/utils/__init__.py
neurom-iot/naal
2644cd289c16fec283443f2d33c8f7173f3e455c
[ "MIT" ]
1
2019-03-15T16:05:17.000Z
2019-09-06T04:57:04.000Z
NAAL-pynq/NAAL_pynq/utils/__init__.py
neurom-iot/naal
2644cd289c16fec283443f2d33c8f7173f3e455c
[ "MIT" ]
4
2019-03-15T17:24:56.000Z
2020-05-29T00:42:02.000Z
from . import paths from . import functions
14.666667
23
0.772727
6
44
5.666667
0.666667
0.588235
0
0
0
0
0
0
0
0
0
0
0.181818
44
2
24
22
0.944444
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
84e25edd8f0378c55a84c11e31f62269b7092ea8
19,201
py
Python
lims/users/tests.py
LeafLIMS/LIMS-Backend
472ccbf71f20b9ecd50508aa0f9ca80d3a3df79a
[ "MIT" ]
12
2017-03-01T10:39:36.000Z
2022-01-04T06:17:19.000Z
lims/users/tests.py
GETLIMS/LIMS-Backend
472ccbf71f20b9ecd50508aa0f9ca80d3a3df79a
[ "MIT" ]
29
2017-04-25T14:05:08.000Z
2021-06-21T14:41:53.000Z
lims/users/tests.py
GETLIMS/LIMS-Backend
472ccbf71f20b9ecd50508aa0f9ca80d3a3df79a
[ "MIT" ]
4
2017-10-11T16:22:53.000Z
2021-02-23T15:45:21.000Z
from django.contrib.auth.models import User, Group, Permission from django.test import override_settings from lims.addressbook.models import Address from lims.shared.loggedintestcase import LoggedInTestCase from django.contrib.auth.hashers import check_password from rest_framework import status class UserTestCase(Log...
48.243719
100
0.638456
2,234
19,201
5.283348
0.08863
0.130899
0.067102
0.108108
0.866305
0.849784
0.818944
0.795815
0.74659
0.714056
0
0.016141
0.232071
19,201
397
101
48.365239
0.784334
0.036717
0
0.782353
0
0
0.11716
0.004221
0
0
0
0
0.355882
1
0.114706
false
0.055882
0.017647
0
0.138235
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
84e5c7cc9ae6968dcca695de9c9d11a043d2754d
48,662
py
Python
notebook/benchmark.py
Chibikuri/qwopt
e65549db83142af4c6b63cce9f55050ee87fb27a
[ "Apache-2.0" ]
4
2020-05-25T15:07:02.000Z
2021-02-17T07:38:06.000Z
notebook/benchmark.py
Chibikuri/qwopt
e65549db83142af4c6b63cce9f55050ee87fb27a
[ "Apache-2.0" ]
2
2020-01-05T07:31:41.000Z
2022-02-11T03:47:49.000Z
notebook/benchmark.py
Chibikuri/qwopt
e65549db83142af4c6b63cce9f55050ee87fb27a
[ "Apache-2.0" ]
1
2020-12-21T14:22:36.000Z
2020-12-21T14:22:36.000Z
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.3.1 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Optimization benchmarking ...
32.247846
139
0.546546
7,462
48,662
3.449075
0.058697
0.017951
0.010957
0.009325
0.854295
0.826903
0.816801
0.796247
0.778646
0.748028
0
0.068721
0.281123
48,662
1,508
140
32.269231
0.667
0.191628
0
0.728205
0
0
0.049473
0
0
0
0
0.000663
0
1
0.009231
false
0
0.017436
0
0.037949
0.009231
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
04932bd5cd2e696bd1220ff69a4411afedbdf4d7
29,809
py
Python
pandadoc_client/api/folders_api_api.py
dyakutkin/pandadoc-api-python-client
f72b59dc69b4df2ef8decd3cbc69c9466859bedc
[ "MIT" ]
null
null
null
pandadoc_client/api/folders_api_api.py
dyakutkin/pandadoc-api-python-client
f72b59dc69b4df2ef8decd3cbc69c9466859bedc
[ "MIT" ]
null
null
null
pandadoc_client/api/folders_api_api.py
dyakutkin/pandadoc-api-python-client
f72b59dc69b4df2ef8decd3cbc69c9466859bedc
[ "MIT" ]
null
null
null
""" PandaDoc Public API PandaDoc Public API documentation # noqa: E501 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from pandadoc_client.api_client import ApiClient, Endpoint as _Endpoint from pandadoc_client.model_utils import ( # noqa: F401 c...
36.755857
171
0.510349
2,641
29,809
5.496782
0.080651
0.026038
0.021492
0.022319
0.858648
0.802301
0.777778
0.739753
0.72205
0.702487
0
0.004539
0.408702
29,809
810
172
36.801235
0.819074
0.340434
0
0.637523
1
0
0.224467
0.073157
0
0
0
0
0
1
0.01275
false
0
0.025501
0
0.051002
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
04940fb929e2bf393f11a40996649e12eac1f7f6
1,950
py
Python
test/classes/class8.py
Setonas/MagicSetonas
ef76da5f27a0506b194c58072b81424e3ce985d7
[ "MIT" ]
5
2017-02-22T10:17:39.000Z
2021-04-06T16:36:13.000Z
test/classes/class8.py
Setonas/MagicSetonas
ef76da5f27a0506b194c58072b81424e3ce985d7
[ "MIT" ]
null
null
null
test/classes/class8.py
Setonas/MagicSetonas
ef76da5f27a0506b194c58072b81424e3ce985d7
[ "MIT" ]
1
2020-08-29T02:30:52.000Z
2020-08-29T02:30:52.000Z
rūšis Joks: pereiti rūšis Tiesa(Netikras): pereiti rūšis Netikras(objektas): pereiti rūšis : meta.class.python, source.python, storage.type.class.python : meta.class.python, source.python Joks : keyword.illegal.name.python, meta.class.python, source.python : : meta.class.py...
62.903226
128
0.703077
225
1,950
6.093333
0.115556
0.157549
0.315098
0.229759
0.905908
0.905908
0.905908
0.905908
0.901532
0.848286
0
0
0.185641
1,950
30
129
65
0.86335
0
0
0.703704
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
10
b6dca2dd128e8ef5b9ef1f817b69d742f7f4a92a
2,293
py
Python
src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_output_customer_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
204
2018-06-27T00:55:27.000Z
2022-03-06T21:12:18.000Z
src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_output_customer_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
468
2018-06-19T00:33:18.000Z
2022-03-31T23:23:35.000Z
src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_output_customer_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
309
2019-01-16T20:21:07.000Z
2022-03-30T12:56:41.000Z
expected_output = { "43":{ "name":"43", "type":"ipv4-acl-type", "acl_type": "standard", "aces":{ "10":{ "name":"10", "actions":{ "forwarding":"permit" }, "matches":{ "l3":{ "ipv4":{ ...
26.356322
68
0.242477
145
2,293
3.751724
0.234483
0.080882
0.077206
0.044118
0.724265
0.724265
0.724265
0.724265
0.724265
0.724265
0
0.162192
0.610118
2,293
87
69
26.356322
0.446309
0
0
0.344828
0
0
0.261116
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f3e3eeff3cacc265ae4091db332558cb80686cf5
146
py
Python
catalyst/contrib/dl/__init__.py
Inkln/catalyst
37ff273a223df3bc70411cd79a79d1b038ba8f9b
[ "Apache-2.0" ]
null
null
null
catalyst/contrib/dl/__init__.py
Inkln/catalyst
37ff273a223df3bc70411cd79a79d1b038ba8f9b
[ "Apache-2.0" ]
null
null
null
catalyst/contrib/dl/__init__.py
Inkln/catalyst
37ff273a223df3bc70411cd79a79d1b038ba8f9b
[ "Apache-2.0" ]
1
2020-12-02T18:42:31.000Z
2020-12-02T18:42:31.000Z
# flake8: noqa from catalyst.contrib.dl.experiment import * from catalyst.contrib.dl.runner import * from catalyst.contrib.dl.callbacks import *
24.333333
44
0.794521
20
146
5.8
0.5
0.310345
0.491379
0.543103
0.465517
0
0
0
0
0
0
0.007692
0.109589
146
5
45
29.2
0.884615
0.082192
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
6d0e14d6fb6db7f0ba31ef15f2ad17daeda5e7e5
14,029
py
Python
experience2/profile_call.py
AvaPunksmash/samWorkTask1
3a6302528cd65db69186b59db9af717399e640e1
[ "MIT" ]
null
null
null
experience2/profile_call.py
AvaPunksmash/samWorkTask1
3a6302528cd65db69186b59db9af717399e640e1
[ "MIT" ]
3
2020-03-24T16:58:16.000Z
2021-02-02T22:07:29.000Z
experience2/profile_call.py
GTimothee/samActivities
3a6302528cd65db69186b59db9af717399e640e1
[ "MIT" ]
null
null
null
import timeit, os, csv, time, random nb_repeats = 8 tmpfs_path="/dev/shm/book.txt" ssd_path="./book.txt" hdd_path="/mnt/hdd/book.txt" def setup(filename): """ Setup for rand_python_time """ os.system('sync; echo 3 | sudo tee /proc/sys/vm/drop_caches') file = open(filename, "r") filesize = os.s...
54.166023
5,521
0.692352
1,986
14,029
4.766365
0.072508
0.09476
0.116628
0.138496
0.878618
0.86087
0.836679
0.810691
0.800655
0.7603
0
0.01209
0.204077
14,029
258
5,522
54.375969
0.835662
0.017321
0
0.391534
0
0.026455
0.527197
0.022306
0
0
0
0
0
1
0.068783
false
0
0.031746
0
0.132275
0.137566
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
6d375d14c44ca7ae3b952cd7ef33b0a721a8a4c7
143
py
Python
estimation/unidimensional/polytomous/__init__.py
eribean/GIRTH
daf22773aa9cd1c819bf732e1061ebf5cc4dc40e
[ "MIT" ]
null
null
null
estimation/unidimensional/polytomous/__init__.py
eribean/GIRTH
daf22773aa9cd1c819bf732e1061ebf5cc4dc40e
[ "MIT" ]
null
null
null
estimation/unidimensional/polytomous/__init__.py
eribean/GIRTH
daf22773aa9cd1c819bf732e1061ebf5cc4dc40e
[ "MIT" ]
null
null
null
from .grm_mml import * from .grm_mml_eap import * from .pcm_mml import * from .gum_mml import * from .grm_jml import * from .pcm_jml import *
20.428571
27
0.741259
25
143
3.96
0.32
0.505051
0.393939
0.323232
0
0
0
0
0
0
0
0
0.174825
143
7
28
20.428571
0.838983
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
611bb5dca0d8dadb245cae3fa20520e68c7f8922
92
py
Python
parameters_8000.py
relidaning/myWeb2py
2dd7d70131a46585bcae29c46b9d5feccd55ad21
[ "BSD-3-Clause" ]
null
null
null
parameters_8000.py
relidaning/myWeb2py
2dd7d70131a46585bcae29c46b9d5feccd55ad21
[ "BSD-3-Clause" ]
null
null
null
parameters_8000.py
relidaning/myWeb2py
2dd7d70131a46585bcae29c46b9d5feccd55ad21
[ "BSD-3-Clause" ]
null
null
null
password="pbkdf2(1000,20,sha512)$919fd9760cde77d0$566dce80dc68eb38dcc6dd93c4e06342dab0af4d"
46
91
0.891304
7
92
11.714286
1
0
0
0
0
0
0
0
0
0
0
0.43956
0.01087
92
1
92
92
0.461538
0
0
0
0
0
0.869565
0.869565
0
0
0
0
0
1
0
false
1
0
0
0
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
611efd0810e22bcb5d2a6579514fa4280f622256
3,855
py
Python
decode-encode/base64-tiff-png-jpg-html/main-tiff.py
whitmans-max/python-examples
881a8f23f0eebc76816a0078e19951893f0daaaa
[ "MIT" ]
140
2017-02-21T22:49:04.000Z
2022-03-22T17:51:58.000Z
decode-encode/base64-tiff-png-jpg-html/main-tiff.py
whitmans-max/python-examples
881a8f23f0eebc76816a0078e19951893f0daaaa
[ "MIT" ]
5
2017-12-02T19:55:00.000Z
2021-09-22T23:18:39.000Z
decode-encode/base64-tiff-png-jpg-html/main-tiff.py
whitmans-max/python-examples
881a8f23f0eebc76816a0078e19951893f0daaaa
[ "MIT" ]
79
2017-01-25T10:53:33.000Z
2022-03-11T16:13:57.000Z
#------------------------------------------------------------------------------ # decode from base64 to tiff #------------------------------------------------------------------------------ import base64 html = '<img src="data:image/tiff;base64,SUkqAAgAAAASAP4ABAABAAAAAAAAAAABAwABAAAACgAAAAEBAwABAAAACgAAAAIBAwADAAAA5...
101.447368
1,324
0.833722
189
3,855
16.941799
0.37037
0.0406
0.019988
0.018738
0.817614
0.817614
0.817614
0.817614
0.797626
0.797626
0
0.05423
0.04332
3,855
37
1,325
104.189189
0.813991
0.522438
0
0.142857
0
0.071429
0.771131
0.734358
0
1
0
0
0
1
0
false
0
0.142857
0
0.142857
0.071429
0
0
1
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
1
0
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
12
612987e6764f92e72ec790a491cb8f111b6d3e01
12,461
py
Python
tests/test_regular_decorating.py
britodfbr/recursive_decorator
bfbf9c4c3c5af322e16444643bbdc8196f9291b6
[ "MIT" ]
null
null
null
tests/test_regular_decorating.py
britodfbr/recursive_decorator
bfbf9c4c3c5af322e16444643bbdc8196f9291b6
[ "MIT" ]
null
null
null
tests/test_regular_decorating.py
britodfbr/recursive_decorator
bfbf9c4c3c5af322e16444643bbdc8196f9291b6
[ "MIT" ]
null
null
null
"""Validating recursive_decorator doesn't break normal usage of decorator.""" import mock import pytest from recursive_decorator import recursive_decorator from recursive_decorator.utils import DECORATOR_LIST_FIELD_NAME @pytest.fixture() def mock_decorator(): decorator = mock.MagicMock() decorator.__name__ =...
29.32
82
0.694808
1,656
12,461
4.789251
0.047101
0.154079
0.151809
0.0899
0.898247
0.879965
0.869247
0.853612
0.843778
0.827008
0
0.010907
0.197978
12,461
424
83
29.389151
0.78267
0.008988
0
0.766667
0
0
0.016449
0
0
0
0
0
0.188889
1
0.188889
false
0.018519
0.014815
0
0.214815
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b635a69663e54ad78374bc1361efc4e648b627d7
2,502
py
Python
maze_solver.py
Omair-R/PathFinder
8dfc655c2a06c3722d782736cd128b5d7ec35fdd
[ "MIT" ]
null
null
null
maze_solver.py
Omair-R/PathFinder
8dfc655c2a06c3722d782736cd128b5d7ec35fdd
[ "MIT" ]
null
null
null
maze_solver.py
Omair-R/PathFinder
8dfc655c2a06c3722d782736cd128b5d7ec35fdd
[ "MIT" ]
null
null
null
from util import * import pygame def Dijkstar(grid, clock, display_cost=False): close = [] open = [] current = None grid.partial_reset() if not grid.has_begin or not grid.has_end: return open.append(grid.start_node) while True: idx = find_minimum_g(open) current =...
24.057692
78
0.590727
301
2,502
4.754153
0.215947
0.107617
0.071279
0.092243
0.916841
0.916841
0.916841
0.916841
0.916841
0.916841
0
0.004149
0.325739
2,502
103
79
24.291262
0.844102
0.009992
0
0.848485
0
0
0
0
0
0
0
0
0
1
0.030303
false
0
0.030303
0
0.060606
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b6432d83ed0fba701247fa23a2c2cd5288aed9d8
68
py
Python
rcnn/symbol/__init__.py
qilei123/MASK_4_RETINA
28eecec985c760b1beeab9d62b54de1ce42aeecc
[ "Apache-2.0" ]
null
null
null
rcnn/symbol/__init__.py
qilei123/MASK_4_RETINA
28eecec985c760b1beeab9d62b54de1ce42aeecc
[ "Apache-2.0" ]
null
null
null
rcnn/symbol/__init__.py
qilei123/MASK_4_RETINA
28eecec985c760b1beeab9d62b54de1ce42aeecc
[ "Apache-2.0" ]
null
null
null
#from symbol_mask_fpn import * from symbol_mask_fpn_dcn_v1 import *
22.666667
36
0.838235
12
68
4.25
0.583333
0.392157
0.54902
0.666667
0
0
0
0
0
0
0
0.016667
0.117647
68
2
37
34
0.833333
0.426471
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
b68b4c71a1cf0d5ec8493bf7e3be6c9406fbcbf6
56,576
py
Python
A-star/quad-puzzl.py
SP2LC/procon25-main
7f17dc882c2e33455651e672fca3c486c2f56bde
[ "Apache-2.0" ]
1
2015-04-19T03:56:57.000Z
2015-04-19T03:56:57.000Z
A-star/quad-puzzl.py
SP2LC/procon25-main
7f17dc882c2e33455651e672fca3c486c2f56bde
[ "Apache-2.0" ]
null
null
null
A-star/quad-puzzl.py
SP2LC/procon25-main
7f17dc882c2e33455651e672fca3c486c2f56bde
[ "Apache-2.0" ]
null
null
null
#-*- coding:utf-8 -*- import random import requests from requests.auth import HTTPDigestAuth import json import sys import communication import config import time from copy import deepcopy ALL_COST = 0 def print_matrix(matrix): for i in range(len(matrix)): for j in range(len(matrix[0])): prin...
55.196098
257
0.651902
6,966
56,576
4.972438
0.037611
0.29101
0.344881
0.400081
0.859028
0.843958
0.828339
0.809487
0.791241
0.772591
0
0.012359
0.250619
56,576
1,024
258
55.25
0.804585
0.075103
0
0.69359
0
0
0.004488
0
0.001282
0
0
0
0
0
null
null
0
0.011538
null
null
0.012821
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
10
b698a84c99b4ec1408daa921c7d5839d76684920
195
py
Python
com/LimePencil/Q7569/_.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
2
2021-07-17T13:05:42.000Z
2021-09-12T09:14:24.000Z
com/LimePencil/Q7569/_.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
null
null
null
com/LimePencil/Q7569/_.py
LimePencil/baekjoonProblems
61eeeeb875585d165d9e39ecdb3d905b4ba6aa87
[ "MIT" ]
null
null
null
import sys # int(sys.stdin.readline().rstrip("\n")) # list(map(int,sys.stdin.readline().rstrip("\n").split(" "))) # t= int(sys.stdin.readline().rstrip("\n")) # for _ in range(t): # print()
21.666667
61
0.6
29
195
4
0.517241
0.155172
0.284483
0.491379
0.672414
0.672414
0
0
0
0
0
0
0.117949
195
9
62
21.666667
0.674419
0.876923
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
b6a67c21c4bab9ba40405cf3986f5f0abad02163
6,034
py
Python
tests/test_generic_cl_scenario.py
lebrice/avalanche
fe7e1e664ab20697343495fbe1328a20215feffb
[ "MIT" ]
3
2021-09-20T11:43:25.000Z
2022-03-31T09:04:34.000Z
tests/test_generic_cl_scenario.py
lebrice/avalanche
fe7e1e664ab20697343495fbe1328a20215feffb
[ "MIT" ]
null
null
null
tests/test_generic_cl_scenario.py
lebrice/avalanche
fe7e1e664ab20697343495fbe1328a20215feffb
[ "MIT" ]
null
null
null
import unittest import torch from avalanche.benchmarks import dataset_benchmark, Experience, \ GenericExperience from avalanche.benchmarks.utils import AvalancheTensorDataset class GenericCLScenarioTests(unittest.TestCase): def test_classes_in_exp(self): train_exps = [] tensor_x = torch.ran...
41.613793
78
0.686609
807
6,034
4.707559
0.071871
0.109503
0.071861
0.027376
0.887339
0.83522
0.813898
0.788102
0.763622
0.737299
0
0.063821
0.223566
6,034
144
79
41.902778
0.747065
0.008784
0
0.79661
0
0
0.006189
0
0
0
0
0
0.169492
1
0.016949
false
0
0.033898
0
0.059322
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
1e3dc135435acbe988eeff018f57db4fb9f7538b
3,208
py
Python
tests/test_srtm.py
bilgelm/kineticmodel
1060f7bb3a140d3dac3679d88ab997084e5de8c7
[ "MIT" ]
4
2017-10-23T08:00:50.000Z
2018-08-07T23:15:01.000Z
tests/test_srtm.py
bilgelm/kineticmodel
1060f7bb3a140d3dac3679d88ab997084e5de8c7
[ "MIT" ]
null
null
null
tests/test_srtm.py
bilgelm/kineticmodel
1060f7bb3a140d3dac3679d88ab997084e5de8c7
[ "MIT" ]
3
2017-11-09T13:45:36.000Z
2021-11-05T12:29:22.000Z
from kineticmodel import SRTM_Zhou2003, SRTM_Lammertsma1996, SRTM_Gunn1997 from .generate_test_data import generate_fakeTAC_SRTM import unittest from ddt import ddt, data, unpack @ddt class TestSRTM(unittest.TestCase): iters = [(BP, R1, startActivity) for BP in [0.2, 0.5, 0.8] \ ...
47.176471
85
0.582606
406
3,208
4.539409
0.150246
0.1172
0.156267
0.0879
0.807922
0.807922
0.7656
0.7656
0.74064
0.688551
0
0.057374
0.266521
3,208
67
86
47.880597
0.725882
0
0
0.578947
1
0
0.167082
0
0
0
0
0
0.105263
1
0.052632
false
0
0.070175
0
0.157895
0.157895
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
1eb6f6a1b08d5259fa9e59e2e067497b2ba09a9f
9,049
py
Python
samurai/reparameterize.py
jlustigy/samurai
ed46e45600956581c94ae44d820e06c35c464962
[ "MIT" ]
1
2021-01-05T07:27:40.000Z
2021-01-05T07:27:40.000Z
samurai/reparameterize.py
jlustigy/samurai
ed46e45600956581c94ae44d820e06c35c464962
[ "MIT" ]
null
null
null
samurai/reparameterize.py
jlustigy/samurai
ed46e45600956581c94ae44d820e06c35c464962
[ "MIT" ]
null
null
null
import numpy as np #--------------------------------------------------- def transform_Y2X(Y_array, n_type, n_band, n_slice, flatten=False): Y_array = np.maximum(Y_array, -10) Y_array = np.minimum(Y_array, 10) # 'albedo' part Y_albd_kj_flat = Y_array[0:n_type*n_band] X_albd_kj_flat = np.exp( Y_alb...
37.704167
121
0.623273
1,582
9,049
3.142225
0.063843
0.138805
0.076041
0.04647
0.895796
0.88111
0.856769
0.845102
0.829813
0.818346
0
0.018481
0.234612
9,049
239
122
37.861925
0.699249
0.159023
0
0.752066
0
0
0
0
0
0
0
0
0
1
0.033058
false
0
0.008264
0
0.090909
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7