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
1ee200c0bd1b6dc44194ce43e272adb66b847d6f
5,837
py
Python
flextensor/testing/others/hand-craft/config_yolo24_cpu.py
imxian/FlexTensor
311af3362856ea1b0073404fffad42c54585c205
[ "MIT" ]
135
2020-03-15T11:28:48.000Z
2022-03-26T00:54:32.000Z
flextensor/testing/others/hand-craft/config_yolo24_cpu.py
KnowingNothing/FlexTensor-Micro
6de200326d4999c56af3f3343282149bc5758c15
[ "MIT" ]
11
2020-03-23T11:06:38.000Z
2022-01-24T06:25:41.000Z
flextensor/testing/others/hand-craft/config_yolo24_cpu.py
KnowingNothing/FlexTensor-Micro
6de200326d4999c56af3f3343282149bc5758c15
[ "MIT" ]
32
2020-03-17T05:12:59.000Z
2022-03-26T00:54:33.000Z
""" Configurations of high performance schedules for conv2d_nchw YOLO convolution layer 24 Target Intel CPU ==================================== **Author**: `Size Zheng` the terms used below: ------------------------------------ method: fuse_and_bind --> only use parallel spatial_order: flatten --> bo, ko, po, qo, bm...
27.403756
100
0.565873
691
5,837
4.434153
0.193922
0.078329
0.042428
0.055483
0.807115
0.799935
0.78688
0.768603
0.768603
0.768603
0
0.101372
0.225972
5,837
212
101
27.533019
0.576804
0.130204
0
0.783333
0
0
0.474807
0.078245
0
0
0
0
0
1
0
false
0
0
0
0
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
94c72a79aa986addd715749343ebbba4a82ec803
5,267
py
Python
tests/src/test_behavior_full.py
U8NWXD/scorevideo_lib
2af8c9ce6adc43af502aaa2a987ecc349b8ac16c
[ "BSD-3-Clause" ]
null
null
null
tests/src/test_behavior_full.py
U8NWXD/scorevideo_lib
2af8c9ce6adc43af502aaa2a987ecc349b8ac16c
[ "BSD-3-Clause" ]
1
2018-08-06T00:00:43.000Z
2018-08-06T00:00:43.000Z
tests/src/test_behavior_full.py
U8NWXD/scorevideo_lib
2af8c9ce6adc43af502aaa2a987ecc349b8ac16c
[ "BSD-3-Clause" ]
1
2020-06-05T00:38:23.000Z
2020-06-05T00:38:23.000Z
# This file is part of scorevideo_lib: A library for working with scorevideo # This file is part of scorevideo_lib: A library for working with scorevideo # Use of this file is governed by the license in LICENSE.txt. """Unit tests for the :py:class:BehaviorFull class """ import pytest from scorevideo_lib.parse_log im...
29.757062
77
0.629011
720
5,267
4.45
0.130556
0.106742
0.138577
0.157303
0.885144
0.865481
0.810861
0.775593
0.773408
0.736267
0
0.095829
0.280805
5,267
176
78
29.926136
0.75
0.073476
0
0.402062
0
0
0.405178
0
0
0
0
0
0.113402
1
0.298969
false
0
0.020619
0
0.319588
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
94e00741769d472e48a16d9d070914d0e2b98304
145
py
Python
pinax/submissions/compat.py
pinax/pinax-submissions
a3f3568f3a652a552661ed24a197d21b082d3df9
[ "MIT" ]
11
2015-10-16T19:31:57.000Z
2022-02-16T06:41:49.000Z
pinax/submissions/compat.py
pinax/pinax-submissions
a3f3568f3a652a552661ed24a197d21b082d3df9
[ "MIT" ]
6
2015-11-12T16:34:48.000Z
2020-03-21T02:24:29.000Z
pinax/pages/compat.py
pinax/pinax-pages
ad4101f390bf001a5d1c7bfd7a224d8f5acb3d7e
[ "MIT" ]
6
2016-07-02T21:11:21.000Z
2021-03-17T16:16:09.000Z
try: from account.decorators import login_required except ImportError: from django.contrib.auth.decorators import login_required # noqa
29
69
0.8
18
145
6.333333
0.722222
0.280702
0.368421
0.508772
0
0
0
0
0
0
0
0
0.151724
145
4
70
36.25
0.926829
0.027586
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.75
0
0.75
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
a209e599a9f47e45ff861d4a0293b29328103b7d
31,632
py
Python
tests/common_tests/function_tests/test_collectors_manipulation.py
haihabi/model_optimization
97372a9596378bb2287c59f1180b5059f741b2d6
[ "Apache-2.0" ]
null
null
null
tests/common_tests/function_tests/test_collectors_manipulation.py
haihabi/model_optimization
97372a9596378bb2287c59f1180b5059f741b2d6
[ "Apache-2.0" ]
null
null
null
tests/common_tests/function_tests/test_collectors_manipulation.py
haihabi/model_optimization
97372a9596378bb2287c59f1180b5059f741b2d6
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required b...
56.892086
112
0.75509
4,615
31,632
4.68234
0.033803
0.031006
0.054792
0.082188
0.946828
0.936323
0.924152
0.90777
0.89671
0.883567
0
0.005323
0.162652
31,632
555
113
56.994595
0.810511
0.037589
0
0.794326
0
0
0.000265
0
0
0
0
0
0.193853
1
0.120567
false
0
0.014184
0
0.144208
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
bfd7ae63b85aa9dd95767f903456daf3c6bbada9
9,104
py
Python
unit_tests/test_evaluate_f1_update_confusion_matrix.py
fensta/bracid2019
ad9bf0b4e44c19f66c1597e857ef6cf70f56a646
[ "MIT" ]
null
null
null
unit_tests/test_evaluate_f1_update_confusion_matrix.py
fensta/bracid2019
ad9bf0b4e44c19f66c1597e857ef6cf70f56a646
[ "MIT" ]
null
null
null
unit_tests/test_evaluate_f1_update_confusion_matrix.py
fensta/bracid2019
ad9bf0b4e44c19f66c1597e857ef6cf70f56a646
[ "MIT" ]
null
null
null
from unittest import TestCase from collections import Counter import pandas as pd from scripts.utils import evaluate_f1_update_confusion_matrix, Data, Bounds import scripts.vars as my_vars class TestEvaluateF1UpdateConfusionMatrix(TestCase): """Tests evaluate_f1_update_confusion_matrix() in utils.py""" def...
54.190476
115
0.483634
1,212
9,104
3.457096
0.090759
0.058711
0.057279
0.060143
0.921241
0.898807
0.898807
0.874224
0.854893
0.824344
0
0.105495
0.350286
9,104
167
116
54.51497
0.602874
0.045035
0
0.782895
0
0
0.057262
0
0
0
0
0
0.039474
1
0.013158
false
0
0.032895
0
0.052632
0.006579
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
44a2c0157e63705912d7ffc94fe3c015fa77dbee
211
py
Python
pybrain/rl/environments/twoplayergames/__init__.py
sveilleux1/pybrain
1e1de73142c290edb84e29ca7850835f3e7bca8b
[ "BSD-3-Clause" ]
2,208
2015-01-02T02:14:41.000Z
2022-03-31T04:45:46.000Z
pybrain/rl/environments/twoplayergames/__init__.py
sveilleux1/pybrain
1e1de73142c290edb84e29ca7850835f3e7bca8b
[ "BSD-3-Clause" ]
91
2015-01-08T16:42:16.000Z
2021-12-11T19:16:35.000Z
pybrain/rl/environments/twoplayergames/__init__.py
sveilleux1/pybrain
1e1de73142c290edb84e29ca7850835f3e7bca8b
[ "BSD-3-Clause" ]
786
2015-01-02T15:18:20.000Z
2022-02-23T23:42:40.000Z
from pybrain.rl.environments.twoplayergames.capturegame import CaptureGame from pybrain.rl.environments.twoplayergames.gomoku import GomokuGame from pybrain.rl.environments.twoplayergames.tasks.__init__ import *
70.333333
74
0.881517
24
211
7.583333
0.458333
0.181319
0.214286
0.412088
0.642857
0
0
0
0
0
0
0
0.052133
211
3
75
70.333333
0.91
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
44b2e5db3aa95b14081b897841a6e599a44beaaa
7,922
py
Python
src_manage/payload.py
MarcusJones/kaggle_petfinder_adoption
2d745b48405f4d4211b523eae272b9169fcf9fa2
[ "MIT" ]
1
2019-01-24T04:22:39.000Z
2019-01-24T04:22:39.000Z
src_manage/payload.py
MarcusJones/kaggle_petfinder_adoption
2d745b48405f4d4211b523eae272b9169fcf9fa2
[ "MIT" ]
1
2021-09-08T01:14:02.000Z
2021-09-08T01:14:02.000Z
src_manage/payload.py
bmj-hackathon/kaggle_airbus_ship_detection
ea2c655418e13452fd9dcfe51ae99d703e16d758
[ "MIT" ]
null
null
null
from pathlib import Path import bz2 from jinja2 import Template import logging logging.getLogger().setLevel(logging.info) #%% Collect all imported tools # UTILS_DIR = Path('~/kaggle/kaggle_utils/kaggle_utils/').expanduser() # TEST_LINES_OUT_DIR = Path('').cwd() / '..' / 'tempdel.txt' # TEST_ZIP_OUT_DIR = Path('').cwd()...
78.435644
4,846
0.88412
425
7,922
16.232941
0.24
0.015944
0.018553
0.014785
0.079577
0.045079
0.031164
0.018988
0.011596
0
0
0.431869
0.048599
7,922
101
4,847
78.435644
0.483481
0.048094
0
0.0625
0
0
0.723034
0.660866
0
1
0
0
0.03125
1
0.015625
false
0
0.078125
0
0.109375
0.03125
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
44be45e5fa02670a668bab1575bf64db1d6ecaec
4,282
py
Python
LocalDeploy/invoke_hardcoded.py
lobrien/AzureMachineLearning_Scratch
b0eee5900afb0576bad6ef3032f598ad5e9837ea
[ "MIT" ]
null
null
null
LocalDeploy/invoke_hardcoded.py
lobrien/AzureMachineLearning_Scratch
b0eee5900afb0576bad6ef3032f598ad5e9837ea
[ "MIT" ]
null
null
null
LocalDeploy/invoke_hardcoded.py
lobrien/AzureMachineLearning_Scratch
b0eee5900afb0576bad6ef3032f598ad5e9837ea
[ "MIT" ]
null
null
null
import requests normalized_pixel_values = "[\ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, \ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0...
107.05
141
0.416861
1,605
4,282
1.108411
0.021807
1.418775
2.045531
2.671164
0.879146
0.879146
0.878583
0.870714
0.867903
0.861158
0
0.457533
0.197104
4,282
40
142
107.05
0.059919
0
0
0.171429
0
0.8
0.023115
0
0
0
0
0
0
1
0
false
0
0.028571
0
0.028571
0.057143
0
0
1
null
1
1
1
1
1
1
1
1
1
0
1
0
0
0
0
1
1
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
14
44d1e502b840edbf0c5b81acc30e121ea7642451
248
py
Python
coffea/striped/__init__.py
hepaccelerate/coffea
153061d6dd69a646fcd0a5b019168188595f6130
[ "BSD-3-Clause" ]
1
2019-06-26T12:40:13.000Z
2019-06-26T12:40:13.000Z
coffea/striped/__init__.py
hepaccelerate/coffea
153061d6dd69a646fcd0a5b019168188595f6130
[ "BSD-3-Clause" ]
null
null
null
coffea/striped/__init__.py
hepaccelerate/coffea
153061d6dd69a646fcd0a5b019168188595f6130
[ "BSD-3-Clause" ]
1
2019-07-05T14:49:12.000Z
2019-07-05T14:49:12.000Z
from .StripedColumnTransformer import ColumnGroup from .StripedColumnTransformer import PhysicalColumnGroup from .ColumnGroup2JaggedTable import jaggedFromColumnGroup from .Callback import HistCollectorCallback from .UprootAdaptor import UprootJob
41.333333
58
0.899194
20
248
11.15
0.55
0.251121
0.304933
0
0
0
0
0
0
0
0
0.004386
0.080645
248
5
59
49.6
0.973684
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
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
0
0
0
7
44d291e7ae6a18f60c52f1c6a04265d0aa6de437
11,452
py
Python
tests/test_model.py
Remi-Gau/rsatoolbox
2b4b57fa4cee9d9b819c43ac0436278c696e2402
[ "MIT" ]
80
2015-03-02T15:11:37.000Z
2022-03-21T17:25:36.000Z
tests/test_model.py
Remi-Gau/rsatoolbox
2b4b57fa4cee9d9b819c43ac0436278c696e2402
[ "MIT" ]
150
2019-10-07T13:04:14.000Z
2021-04-21T21:39:41.000Z
tests/test_model.py
Remi-Gau/rsatoolbox
2b4b57fa4cee9d9b819c43ac0436278c696e2402
[ "MIT" ]
64
2015-03-02T15:11:17.000Z
2022-03-28T12:05:32.000Z
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the model subpackage """ import unittest import rsatoolbox.model as model import numpy as np from numpy.testing import assert_allclose class TestModel(unittest.TestCase): """ Tests for the Model superclass """ def test_creation(self): _...
39.626298
81
0.608016
1,470
11,452
4.508844
0.104082
0.065178
0.026554
0.041038
0.843543
0.831322
0.809747
0.801298
0.764031
0.754828
0
0.01338
0.282134
11,452
288
82
39.763889
0.792848
0.039469
0
0.723404
0
0
0.072173
0
0
0
0
0
0.12766
1
0.076596
false
0
0.102128
0
0.208511
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
780585a979d975f2b8c0dc651e9434f80ef86dca
6,980
py
Python
components/paper/reference.py
JnkDog/i-rheo-web
8b1e0a0ef297e1e67f34368aed54f1e5a5028123
[ "MIT" ]
1
2021-06-09T14:07:07.000Z
2021-06-09T14:07:07.000Z
components/paper/reference.py
JnkDog/i-rheno-web
8b1e0a0ef297e1e67f34368aed54f1e5a5028123
[ "MIT" ]
1
2021-07-13T20:40:34.000Z
2021-07-13T20:40:34.000Z
components/paper/reference.py
JnkDog/i-rheno-web
8b1e0a0ef297e1e67f34368aed54f1e5a5028123
[ "MIT" ]
2
2021-07-12T19:37:41.000Z
2021-12-09T00:13:09.000Z
import dash from dash.dependencies import Input, Output, State, ClientsideFunction import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc # Disgusting code # Paper1 = html.P("1. R. Rivas-Barbosa, M. Escobedo-Sánchez, M. Tassieri, and M. Laurati, “i-Rheo: determi...
68.431373
258
0.715186
1,042
6,980
4.785029
0.263916
0.059567
0.057762
0.077016
0.882872
0.882872
0.882872
0.882872
0.882872
0.882872
0
0.074236
0.146991
6,980
102
259
68.431373
0.763184
0.508453
0
0
0
0.68
0.90944
0.040708
0
0
0
0
0
1
0
false
0
0.2
0
0.2
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
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
7827706735c25e09a9ebee9b79c9855176e2410e
335
py
Python
exercicios/ex108.py
Siqueira-Vinicius/Python
bd1f7e2bcdfd5481724d32db387f51636bb4ad60
[ "MIT" ]
null
null
null
exercicios/ex108.py
Siqueira-Vinicius/Python
bd1f7e2bcdfd5481724d32db387f51636bb4ad60
[ "MIT" ]
null
null
null
exercicios/ex108.py
Siqueira-Vinicius/Python
bd1f7e2bcdfd5481724d32db387f51636bb4ad60
[ "MIT" ]
null
null
null
import moeda p = float(input(f'Digite um preço: {moeda.preço()}')) print(f'a metade de {moeda.preço(p)} é {moeda.metade(p)}') print(f'o dobro de {moeda.preço(p)} é {moeda.dobro(p)}') print(f'o preço de {moeda.preço(p)} reduzido em 10% é {moeda.desconto(p)}') print(f'e o preço de {moeda.preço(p)} aumentado em 13% é {moe...
47.857143
75
0.671642
66
335
3.409091
0.363636
0.222222
0.213333
0.231111
0.337778
0.337778
0
0
0
0
0
0.013514
0.116418
335
6
76
55.833333
0.746622
0
0
0
0
0.333333
0.764179
0
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0.666667
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
7877daf6e30df1131d32ba127616387f96084632
12,163
py
Python
src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py
mtdsousa/antlr4-verilog
c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad
[ "MIT" ]
3
2022-02-15T15:51:43.000Z
2022-02-21T13:18:09.000Z
src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py
mtdsousa/antlr4-verilog
c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad
[ "MIT" ]
1
2022-02-21T12:35:10.000Z
2022-02-21T16:45:56.000Z
src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py
mtdsousa/antlr4-verilog-python
c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad
[ "MIT" ]
null
null
null
# Generated from /home/mtdsousa/workspace/antlr4-verilog-python/extra/grammars-v4-2/verilog/systemverilog/SystemVerilogPreParser.g4 by ANTLR 4.9 from antlr4 import * if __name__ is not None and "." in __name__: from .SystemVerilogPreParser import SystemVerilogPreParser else: from SystemVerilogPreParser import S...
41.797251
144
0.796761
1,272
12,163
7.386006
0.106132
0.040234
0.067057
0.120703
0.891006
0.891006
0.886535
0.722938
0.717084
0.338797
0
0.000681
0.15506
12,163
291
145
41.797251
0.913496
0.39094
0
0.473282
1
0
0.000137
0
0
0
0
0
0
1
0.473282
false
0.473282
0.022901
0
0.503817
0
0
0
0
null
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
9
1542dd7930cb526237b3ce1c08c959f8e45bb83a
102
py
Python
snl/util/__init__.py
mackelab/SNL_py3port
3da9ec0e03239646dce8b17f3b2ee22e56bc26c9
[ "MIT" ]
2
2019-10-14T03:47:16.000Z
2019-12-15T15:28:02.000Z
snl/util/__init__.py
mackelab/SNL_py3port
3da9ec0e03239646dce8b17f3b2ee22e56bc26c9
[ "MIT" ]
null
null
null
snl/util/__init__.py
mackelab/SNL_py3port
3da9ec0e03239646dce8b17f3b2ee22e56bc26c9
[ "MIT" ]
4
2019-02-06T23:42:21.000Z
2020-05-16T14:24:28.000Z
import snl.util.io import snl.util.math import snl.util.misc import snl.util.ml import snl.util.plot
14.571429
20
0.794118
20
102
4.05
0.4
0.555556
0.802469
0
0
0
0
0
0
0
0
0
0.107843
102
6
21
17
0.89011
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
15bfed425e577bd79ccb624fc28d456f83bfc93e
40,241
py
Python
integration/python/integration_api/api/baas_api.py
ShekharPaatni/SDK
6534ffdb63af87c02c431df9add05a90370183cb
[ "Apache-2.0" ]
11
2019-04-16T02:11:17.000Z
2021-12-16T22:51:40.000Z
integration/python/integration_api/api/baas_api.py
ShekharPaatni/SDK
6534ffdb63af87c02c431df9add05a90370183cb
[ "Apache-2.0" ]
81
2019-11-19T23:24:28.000Z
2022-03-28T11:35:47.000Z
integration/python/integration_api/api/baas_api.py
ShekharPaatni/SDK
6534ffdb63af87c02c431df9add05a90370183cb
[ "Apache-2.0" ]
11
2020-07-08T02:29:56.000Z
2022-03-28T10:05:33.000Z
# coding: utf-8 """ Hydrogen Integration API The Hydrogen Integration API # noqa: E501 OpenAPI spec version: 1.3.1 Contact: info@hydrogenplatform.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2...
42.809574
155
0.631396
4,701
40,241
5.063603
0.037864
0.046043
0.028735
0.027222
0.962569
0.954587
0.937195
0.923836
0.911359
0.902285
0
0.014898
0.284436
40,241
939
156
42.855165
0.811773
0.306727
0
0.756335
1
0
0.204768
0.059296
0
0
0
0
0
1
0.037037
false
0
0.007797
0
0.099415
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
ec6f4b0e8ea00a1d9e836e0ce9dd4bfe7fc0f269
169
py
Python
src/__init__.py
caja-matematica/chimera-embedding
637a3c1823d608e24c04ee355ae43b2590388216
[ "Apache-2.0" ]
26
2016-05-13T22:17:13.000Z
2022-01-16T16:48:44.000Z
src/__init__.py
caja-matematica/chimera-embedding
637a3c1823d608e24c04ee355ae43b2590388216
[ "Apache-2.0" ]
1
2019-06-20T16:49:00.000Z
2019-06-20T16:49:00.000Z
src/__init__.py
caja-matematica/chimera-embedding
637a3c1823d608e24c04ee355ae43b2590388216
[ "Apache-2.0" ]
23
2016-10-14T18:08:53.000Z
2022-01-16T16:48:57.000Z
try: from polynomialembedder import processor, random_processor except ImportError: from chimera_embedding.polynomialembedder import processor, random_processor
33.8
80
0.846154
17
169
8.235294
0.588235
0.342857
0.471429
0.557143
0.685714
0
0
0
0
0
0
0
0.12426
169
4
81
42.25
0.945946
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.75
0
0.75
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
01ffaedab6f3ca7889d6a7e9a4c2516ee6baecfa
2,098
py
Python
src/test/string_instructions.py
cgjones/rr
dcdde9c497cad27618b27f6754c11b0693894178
[ "MIT" ]
null
null
null
src/test/string_instructions.py
cgjones/rr
dcdde9c497cad27618b27f6754c11b0693894178
[ "MIT" ]
null
null
null
src/test/string_instructions.py
cgjones/rr
dcdde9c497cad27618b27f6754c11b0693894178
[ "MIT" ]
null
null
null
from rrutil import * send_gdb('break string_store\n') expect_gdb('Breakpoint 1') # string_store 1-byte forwards send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('finish\n') send_gdb('watch -l p[1000000]\n') expect_gdb('watchpoint') send_gdb('reverse-continue\n') expect_gdb('Old value = 97') expect_gdb('New value =...
23.311111
57
0.706864
384
2,098
3.65625
0.140625
0.19943
0.19943
0.076923
0.85114
0.824786
0.787037
0.787037
0.740028
0.720085
0
0.080169
0.096282
2,098
89
58
23.573034
0.660338
0.120591
0
0.84
0
0
0.425694
0
0
0
0
0
0
1
0
true
0
0.013333
0
0.013333
0
0
0
0
null
0
1
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
1
0
0
0
0
0
0
9
bd63ceb382d5ee184d8d6f6f53d3a166347f2f5d
132
py
Python
exit.py
sid1689/parking_lot_gate_final
d097c811aee706f23f1f1c83d130aa8e6654c7a8
[ "MIT" ]
null
null
null
exit.py
sid1689/parking_lot_gate_final
d097c811aee706f23f1f1c83d130aa8e6654c7a8
[ "MIT" ]
null
null
null
exit.py
sid1689/parking_lot_gate_final
d097c811aee706f23f1f1c83d130aa8e6654c7a8
[ "MIT" ]
null
null
null
from exit_camera import ExitCamera from utils import GATE_CAMERA_1, GATE_CAMERA_2, GATE_CAMERA_3, WEBCAM ExitCamera(GATE_CAMERA_1)
26.4
69
0.863636
22
132
4.772727
0.5
0.380952
0.209524
0
0
0
0
0
0
0
0
0.033613
0.098485
132
4
70
33
0.84874
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
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
da180a85518dbf933bcb617d3b6ada19c27298a7
1,928
py
Python
dacbench/challenge_benchmarks/state_space_challenge/random_states.py
ndangtt/LeadingOnesDAC
953747d8702f179851d7973c65779a1f830e03a1
[ "Apache-2.0" ]
11
2020-11-09T10:50:31.000Z
2022-02-19T09:23:44.000Z
dacbench/challenge_benchmarks/state_space_challenge/random_states.py
ndangtt/LeadingOnesDAC
953747d8702f179851d7973c65779a1f830e03a1
[ "Apache-2.0" ]
95
2020-11-18T09:37:30.000Z
2022-02-17T10:05:33.000Z
dacbench/challenge_benchmarks/state_space_challenge/random_states.py
ndangtt/LeadingOnesDAC
953747d8702f179851d7973c65779a1f830e03a1
[ "Apache-2.0" ]
11
2020-11-15T15:24:27.000Z
2022-03-14T14:51:43.000Z
import numpy as np def small_random_luby_state(self): core_state = self.get_default_state(None) num_random_elements = 20 - len(core_state) for i in range(num_random_elements): core_state.append(np.random.normal(3, 2.5)) return core_state def random_luby_state(self): core_state = self.get...
32.133333
59
0.604772
270
1,928
4.059259
0.144444
0.229927
0.155109
0.104015
0.958029
0.958029
0.958029
0.958029
0.906934
0.906934
0
0.038856
0.292531
1,928
59
60
32.677966
0.764663
0
0
0.784314
0
0
0
0
0
0
0
0
0
1
0.078431
false
0
0.019608
0
0.176471
0
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
da461498208022c63d566b06b25d172000c5b03b
8,549
py
Python
src/test/pythonFiles/typeFormatFiles/elseBlocks2.py
ChaseKnowlden/vscode-jupyter
9bdaf87f0b6dcd717c508e9023350499a6093f97
[ "MIT" ]
695
2019-05-06T23:49:37.000Z
2022-03-30T01:56:00.000Z
src/test/pythonFiles/typeFormatFiles/elseBlocks2.py
ChaseKnowlden/vscode-jupyter
9bdaf87f0b6dcd717c508e9023350499a6093f97
[ "MIT" ]
8,428
2020-11-11T22:06:43.000Z
2022-03-31T23:42:34.000Z
src/test/pythonFiles/typeFormatFiles/elseBlocks2.py
vasili8m/vscode-python
846eee870e8b7bab38172600836faedb5fb80166
[ "MIT" ]
158
2020-11-12T07:49:02.000Z
2022-03-27T20:50:20.000Z
var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print ...
23.357923
64
0.553866
1,252
8,549
3.778754
0.073482
0.037201
0.186007
0.213908
0.996195
0.996195
0.996195
0.996195
0.996195
0.996195
0
0.036733
0.331267
8,549
365
65
23.421918
0.790799
0
0
0.99373
0
0
0.240187
0
0
0
0
0
0
0
null
null
0.00627
0
null
null
0.401254
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
1
0
11
da4b9ad0ca6cdb8cb1b1de17d0b8b5af337b5e81
210
py
Python
init_map/admin.py
PavelMostovoy/map.aqa.science
9a6e9a68228af54f98f37c2e3db3bb66b22b653c
[ "Apache-2.0" ]
null
null
null
init_map/admin.py
PavelMostovoy/map.aqa.science
9a6e9a68228af54f98f37c2e3db3bb66b22b653c
[ "Apache-2.0" ]
null
null
null
init_map/admin.py
PavelMostovoy/map.aqa.science
9a6e9a68228af54f98f37c2e3db3bb66b22b653c
[ "Apache-2.0" ]
null
null
null
from leaflet.admin import LeafletGeoAdmin from django.contrib import admin from .models import Spot, Polygon admin.site.register((Polygon, Spot), LeafletGeoAdmin) # admin.site.register(Polygon,LeafletGeoAdmin)
35
53
0.828571
26
210
6.692308
0.461538
0.103448
0.195402
0.275862
0
0
0
0
0
0
0
0
0.085714
210
6
54
35
0.90625
0.209524
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.75
0
0.75
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
e53a4e58537968f6d340737293b38acf2e824ab3
564
py
Python
tests/test_all_imports.py
connor-mccarthy/snappy
58b890ddffe46ea2de37c40bf8ab971788649b17
[ "MIT" ]
null
null
null
tests/test_all_imports.py
connor-mccarthy/snappy
58b890ddffe46ea2de37c40bf8ab971788649b17
[ "MIT" ]
null
null
null
tests/test_all_imports.py
connor-mccarthy/snappy
58b890ddffe46ea2de37c40bf8ab971788649b17
[ "MIT" ]
null
null
null
# flake8: noqa # type: ignore from snappy.cli.application import * from snappy.cli.commands import * from snappy.cli.config import * from snappy.cli.constants import * from snappy.cli.helpers.aws.ecr import * from snappy.cli.helpers.aws.general import * from snappy.cli.helpers.aws.iam import * from snappy.cli.helpers.a...
28.2
52
0.785461
85
564
5.152941
0.341176
0.296804
0.438356
0.43379
0.383562
0.26484
0
0
0
0
0
0.002012
0.118794
564
19
53
29.684211
0.879276
0.044326
0
0
0
0
0
0
0
0
0
0
0
1
0.066667
true
0.066667
0.933333
0
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
e57200d198394d43c342a29c7f204b1d6bf807d3
20,398
py
Python
code/DataLoader.py
wenhuchen/KGPT
f898577d8e0ebbf48ea84915777c7b01e616ca3a
[ "MIT" ]
119
2020-10-06T08:21:21.000Z
2022-03-25T12:00:10.000Z
code/DataLoader.py
wenhuchen/KGPT
f898577d8e0ebbf48ea84915777c7b01e616ca3a
[ "MIT" ]
7
2020-10-29T09:34:14.000Z
2021-12-28T14:27:27.000Z
code/DataLoader.py
wenhuchen/KGPT
f898577d8e0ebbf48ea84915777c7b01e616ca3a
[ "MIT" ]
16
2020-10-07T18:58:48.000Z
2022-02-23T07:42:29.000Z
import torch import os import numpy as np import json import torch import random import pandas import re import copy from torch.utils.data import Dataset def safe_setting(matrix, x_start, x_end, y_start, y_end): if x_start >= matrix.shape[0] or y_start >= matrix.shape[0]: return matrix[x_start:min(mat...
43.772532
162
0.585548
2,472
20,398
4.531958
0.066343
0.047487
0.048201
0.051058
0.857627
0.851111
0.835044
0.816746
0.792823
0.745515
0
0.013094
0.303608
20,398
465
163
43.866667
0.775572
0.004461
0
0.761905
0
0
0.027236
0
0
0
0
0
0.005602
1
0.061625
false
0.002801
0.028011
0.011204
0.162465
0.008403
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
e5ad7824694b522e6da97d8fd7dfc74973ed460c
5,867
py
Python
code/utils/functions/hypothesis.py
berkeley-stat159/project-alpha
330d025c4eda94d390a82e86deecb791086c9dbf
[ "BSD-3-Clause" ]
4
2015-10-30T23:08:32.000Z
2021-06-24T03:44:02.000Z
code/utils/functions/hypothesis.py
berkeley-stat159/project-alpha
330d025c4eda94d390a82e86deecb791086c9dbf
[ "BSD-3-Clause" ]
179
2015-10-25T15:59:56.000Z
2017-10-31T02:40:24.000Z
code/utils/functions/hypothesis.py
berkeley-stat159/project-alpha
330d025c4eda94d390a82e86deecb791086c9dbf
[ "BSD-3-Clause" ]
11
2015-10-20T19:15:10.000Z
2019-02-23T19:33:03.000Z
#hypothesis testing function from __future__ import absolute_import, division, print_function from scipy.stats import t as t_dist from glm import glm, glm_multiple import numpy as np import numpy.linalg as npl def t_stat(data_4d, convolved, c = [0,1]): """ Return four values, the estimated beta, t-value, ...
27.162037
80
0.603204
950
5,867
3.672632
0.154737
0.030954
0.041273
0.026082
0.887934
0.881628
0.870737
0.846088
0.832617
0.832617
0
0.019259
0.291972
5,867
215
81
27.288372
0.820655
0.527527
0
0.731343
0
0
0
0
0
0
0
0
0
1
0.044776
false
0
0.074627
0
0.164179
0.014925
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
008f5dace6c6c532cb842667e200fc48bee42f01
235
py
Python
pymusicdl_termux/modules/__init__.py
insaiyancvk/pymusicdl-termux
556f0bd1a99f6b219253ca905ba93a2e82fc0beb
[ "MIT" ]
1
2021-12-04T01:40:00.000Z
2021-12-04T01:40:00.000Z
pymusicdl_termux/modules/__init__.py
insaiyancvk/pymusicdl-termux
556f0bd1a99f6b219253ca905ba93a2e82fc0beb
[ "MIT" ]
null
null
null
pymusicdl_termux/modules/__init__.py
insaiyancvk/pymusicdl-termux
556f0bd1a99f6b219253ca905ba93a2e82fc0beb
[ "MIT" ]
null
null
null
from pymusicdl_termux.modules.common import common from pymusicdl_termux.modules.spotify_downloader import spotify_downloader from pymusicdl_termux.modules.ytDownloader import yt_downloader from pymusicdl_termux.modules.picker import *
58.75
74
0.897872
30
235
6.8
0.366667
0.254902
0.372549
0.509804
0.352941
0
0
0
0
0
0
0
0.06383
235
4
75
58.75
0.927273
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
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
970559de9265fd276822fbcf92f97e39fd6f9b3e
38,876
py
Python
code/models.py
modichirag/cosmic-rim
3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25
[ "MIT" ]
null
null
null
code/models.py
modichirag/cosmic-rim
3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25
[ "MIT" ]
null
null
null
code/models.py
modichirag/cosmic-rim
3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25
[ "MIT" ]
null
null
null
###list of models: import numpy as np import os #os.environ["CUDA_VISIBLE_DEVICES"]="1" # import tensorflow as tf import tensorflow.contrib.slim as slim from tensorflow.contrib.slim import add_arg_scope from layers import wide_resnet, wide_resnet_snorm, valid_resnet from layers import wide_resnet_snorm from pixelcnn3...
46.007101
155
0.601219
4,597
38,876
4.884925
0.074614
0.010688
0.032419
0.036338
0.888582
0.87647
0.867385
0.854115
0.841913
0.838039
0
0.022126
0.290822
38,876
844
156
46.061611
0.792383
0.168587
0
0.757874
0
0
0.036938
0
0
0
0
0
0
1
0.023622
false
0
0.023622
0
0.070866
0.031496
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
97093e1c15216677839306e4f7a46a60c1560a39
8,585
py
Python
prysm/polynomials/hermite.py
Lixiaoxin-HIT/prysm
42d95bd0352778d73555fc18f9b927706f841ae1
[ "MIT" ]
1
2022-03-29T02:10:14.000Z
2022-03-29T02:10:14.000Z
prysm/polynomials/hermite.py
Lixiaoxin-HIT/prysm
42d95bd0352778d73555fc18f9b927706f841ae1
[ "MIT" ]
null
null
null
prysm/polynomials/hermite.py
Lixiaoxin-HIT/prysm
42d95bd0352778d73555fc18f9b927706f841ae1
[ "MIT" ]
null
null
null
"""Hermite Polynomials.""" from prysm.mathops import np def hermite_He(n, x): """Probabilist's Hermite polynomial He of order n at points x. Parameters ---------- n : int polynomial order x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns -...
22.356771
80
0.528014
1,327
8,585
3.339111
0.116805
0.043331
0.027082
0.028887
0.905665
0.894606
0.868427
0.868427
0.867524
0.84947
0
0.042058
0.354688
8,585
383
81
22.415144
0.757762
0.49668
0
0.855263
0
0
0
0
0
0
0
0
0
1
0.052632
false
0
0.006579
0
0.217105
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
974287d09250c7455846f7bf454bd8478b6d7d1c
1,232
py
Python
lista2/Q1-Q14/Q7.py
AlexandrePeBrito/Python
79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0
[ "MIT" ]
null
null
null
lista2/Q1-Q14/Q7.py
AlexandrePeBrito/Python
79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0
[ "MIT" ]
null
null
null
lista2/Q1-Q14/Q7.py
AlexandrePeBrito/Python
79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0
[ "MIT" ]
null
null
null
#Faça um Programa que leia três números e mostre o maior e o menor deles num1 = int(input("Informe o primeiro numero: ")) num2 = int(input("Informe o segundo numero: ")) num3 = int(input("Informe o terceiro numero: ")) if((num1>num2)and(num1>num3)): print("O Primeiro numero que tem o valor %.0f eh o maior dentre ...
51.333333
92
0.671266
220
1,232
3.759091
0.163636
0.065296
0.130593
0.141475
0.719468
0.704958
0.704958
0.704958
0.704958
0.704958
0
0.051706
0.215097
1,232
24
93
51.333333
0.803516
0.05763
0
0.285714
0
0
0.608958
0
0
0
0
0
0
1
0
false
0
0
0
0
0.428571
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
1
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
974779bebf3db40d2eca9dfa4c198763794ecb9c
11,937
py
Python
tests/ui_tests/test_mixed_ui_options.py
AKhodus/adcm
98dbf22af3f1c6afa94505e9acaff0ac4088a602
[ "Apache-2.0" ]
null
null
null
tests/ui_tests/test_mixed_ui_options.py
AKhodus/adcm
98dbf22af3f1c6afa94505e9acaff0ac4088a602
[ "Apache-2.0" ]
null
null
null
tests/ui_tests/test_mixed_ui_options.py
AKhodus/adcm
98dbf22af3f1c6afa94505e9acaff0ac4088a602
[ "Apache-2.0" ]
null
null
null
# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under t...
44.375465
115
0.783195
1,694
11,937
5.068477
0.084416
0.046587
0.040997
0.047519
0.866993
0.860238
0.854647
0.850454
0.840904
0.832867
0
0.00236
0.148111
11,937
268
116
44.541045
0.841971
0.143085
0
0.707865
0
0
0.169716
0.115132
0
0
0
0
0.219101
1
0.101124
false
0
0.033708
0
0.134831
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
9752dcfddfc7819d1fc49d848538d725ec7890b0
4,249
py
Python
tests/test_Autoloader_update_inventory.py
Robpol86/tape_bulk_eject
13b49565d5180925938b1182469bafb2929e0648
[ "MIT" ]
2
2018-03-08T21:49:06.000Z
2019-07-03T20:39:04.000Z
tests/test_Autoloader_update_inventory.py
Robpol86/tape_bulk_eject
13b49565d5180925938b1182469bafb2929e0648
[ "MIT" ]
1
2016-01-06T22:10:33.000Z
2016-02-18T23:33:11.000Z
tests/test_Autoloader_update_inventory.py
Robpol86/tape_bulk_eject
13b49565d5180925938b1182469bafb2929e0648
[ "MIT" ]
1
2019-06-30T19:07:14.000Z
2019-06-30T19:07:14.000Z
import StringIO import pytest from tape_bulk_eject import Autoloader, HandledError def test_bad_html(monkeypatch, caplog): def urlopen(_): return StringIO.StringIO('This is not HTML.') monkeypatch.setattr('urllib2.urlopen', urlopen) autoloader = Autoloader('host', '', '') with pytest.raises...
39.342593
98
0.560367
468
4,249
4.995727
0.196581
0.071856
0.150128
0.133447
0.762618
0.745509
0.745509
0.719846
0.719846
0.609068
0
0.086733
0.267357
4,249
107
99
39.71028
0.664311
0
0
0.702128
0
0.010638
0.617322
0.15792
0
0
0
0
0.042553
1
0.074468
false
0
0.031915
0.010638
0.148936
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
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
9756fac96650732649ed769608ff66f725f28767
24,477
py
Python
src/api/datahub/access/tests/fixture/access.py
Chromico/bk-base
be822d9bbee544a958bed4831348185a75604791
[ "MIT" ]
84
2021-06-30T06:20:23.000Z
2022-03-22T03:05:49.000Z
src/api/datahub/access/tests/fixture/access.py
Chromico/bk-base
be822d9bbee544a958bed4831348185a75604791
[ "MIT" ]
7
2021-06-30T06:21:16.000Z
2022-03-29T07:36:13.000Z
src/api/datahub/access/tests/fixture/access.py
Chromico/bk-base
be822d9bbee544a958bed4831348185a75604791
[ "MIT" ]
40
2021-06-30T06:21:26.000Z
2022-03-29T12:42:26.000Z
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: ------------------------------------------...
36.10177
111
0.567226
2,998
24,477
4.356237
0.096731
0.070444
0.066616
0.079939
0.858499
0.852067
0.848851
0.841271
0.837519
0.829556
0
0.030738
0.284921
24,477
677
112
36.155096
0.71542
0.057523
0
0.770318
0
0.010601
0.434228
0.035233
0
0
0
0
0
1
0.04947
false
0.010601
0.003534
0
0.053004
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
977029b94deded3231dea257c689363167f5b914
224
py
Python
p0001/test_p0001.py
th3-z/euler
cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2
[ "MIT" ]
null
null
null
p0001/test_p0001.py
th3-z/euler
cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2
[ "MIT" ]
null
null
null
p0001/test_p0001.py
th3-z/euler
cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2
[ "MIT" ]
null
null
null
from p0001 import mult35range def test_mult35range(): assert sum(mult35range(0,1000)) == 233168 assert sum(mult35range(99,100)) == 99 assert sum(mult35range(0,100)) == 2318 assert sum(mult35range(0,1)) == 0
28
45
0.6875
31
224
4.935484
0.483871
0.235294
0.522876
0.411765
0
0
0
0
0
0
0
0.243243
0.174107
224
7
46
32
0.583784
0
0
0
0
0
0
0
0
0
0
0
0.666667
1
0.166667
true
0
0.166667
0
0.333333
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
1
0
0
0
0
0
0
7
979bfe1038ba05e8dce925f73cc068565b73548f
32,206
py
Python
kapua-client/python-client/swagger_client/api/users_api.py
liang-faan/SmartIOT-Diec
8336a4b558295295f10a82cf350d8b7ff3fb9f5c
[ "MIT" ]
5
2019-05-30T02:55:16.000Z
2020-03-03T14:18:23.000Z
kapua-client/python-client/swagger_client/api/users_api.py
liang-faan/SmartIOT-Diec
8336a4b558295295f10a82cf350d8b7ff3fb9f5c
[ "MIT" ]
3
2019-12-27T00:53:23.000Z
2020-02-17T05:29:19.000Z
kapua-client/python-client/swagger_client/api/users_api.py
liang-faan/SmartIOT-Diec
8336a4b558295295f10a82cf350d8b7ff3fb9f5c
[ "MIT" ]
4
2019-06-04T06:26:14.000Z
2021-01-07T04:25:32.000Z
# coding: utf-8 """ Eclipse Kapua REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import ...
41.289744
120
0.609855
3,891
32,206
4.82678
0.051915
0.05069
0.020872
0.026836
0.964379
0.958948
0.956871
0.948565
0.945956
0.944625
0
0.016172
0.299199
32,206
779
121
41.342747
0.81595
0.350556
0
0.804762
1
0
0.201007
0.030265
0
0
0
0
0
1
0.035714
false
0
0.009524
0
0.097619
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
c13f47790a54888e3446fe3e754a740ee8912178
34,255
py
Python
pyswmm/lidlayers.py
kmmacro/pyswmm
028fc9a2c731bed4129ee100e295900d989867fd
[ "BSD-2-Clause" ]
186
2015-06-12T13:24:02.000Z
2022-03-24T10:19:43.000Z
pyswmm/lidlayers.py
kmmacro/pyswmm
028fc9a2c731bed4129ee100e295900d989867fd
[ "BSD-2-Clause" ]
256
2015-02-16T02:47:20.000Z
2022-03-18T16:08:09.000Z
pyswmm/lidlayers.py
kmmacro/pyswmm
028fc9a2c731bed4129ee100e295900d989867fd
[ "BSD-2-Clause" ]
99
2015-01-11T17:06:44.000Z
2022-03-15T09:26:44.000Z
# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright (c) 2018 Jennifer Wu # # Licensed under the terms of the BSD2 License # See LICENSE.txt for details # ----------------------------------------------------------------------------- from pyswmm.toolkitapi i...
41.77439
89
0.432316
2,273
34,255
6.403432
0.063792
0.048231
0.068018
0.039711
0.867262
0.862384
0.85572
0.823772
0.74799
0.692546
0
0.000287
0.390337
34,255
819
90
41.825397
0.696658
0.369056
0
0.774112
0
0
0
0
0
0
0
0
0
1
0.182741
false
0
0.002538
0
0.36802
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
a9b6765c1213c1a28cbaa18d03a0f87f3016764a
816
py
Python
Hangman drawings.py
Chief-kith/Pringles
1490c9449588452c8464094d605d97794369b3e7
[ "CC0-1.0" ]
null
null
null
Hangman drawings.py
Chief-kith/Pringles
1490c9449588452c8464094d605d97794369b3e7
[ "CC0-1.0" ]
null
null
null
Hangman drawings.py
Chief-kith/Pringles
1490c9449588452c8464094d605d97794369b3e7
[ "CC0-1.0" ]
null
null
null
HANGMAN = ( """ ----- | | | | | | | | | -------- """, """ ----- | | | 0 | | | | | | -------- """, """ ----- | | | 0 | -+- | | | | | -------- """, """ ----- | | | 0 | /-+- | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | --------...
6.089552
12
0.020833
11
816
1.545455
0.181818
1.058824
1.411765
1.647059
0.588235
0.588235
0.588235
0.588235
0.588235
0
0
0.024938
0.508578
816
134
13
6.089552
0.017456
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
1
null
1
1
1
0
0
0
0
0
0
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
e71a96de81fedf59936796923ed3df77c3fec33c
4,579
py
Python
tests/test_likenumpy.py
kgizdov/awkward-0.x
11953017a5495527169d3a031a5e866904d824a2
[ "BSD-3-Clause" ]
224
2018-07-01T00:28:27.000Z
2020-11-16T11:00:25.000Z
tests/test_likenumpy.py
kgizdov/awkward-0.x
11953017a5495527169d3a031a5e866904d824a2
[ "BSD-3-Clause" ]
196
2018-07-12T06:48:42.000Z
2020-11-01T17:18:51.000Z
tests/test_likenumpy.py
kgizdov/awkward-0.x
11953017a5495527169d3a031a5e866904d824a2
[ "BSD-3-Clause" ]
42
2018-06-28T11:36:55.000Z
2020-10-23T03:24:31.000Z
#!/usr/bin/env python # BSD 3-Clause License; see https://github.com/scikit-hep/awkward-0.x/blob/master/LICENSE import unittest import numpy import awkward0 class Test(unittest.TestCase): def runTest(self): pass def test_likenumpy_slices(self): print() np = numpy.array([[1, 10, 10...
57.962025
158
0.481109
754
4,579
2.919098
0.088859
0.058155
0.318037
0.177192
0.894139
0.894139
0.844162
0.752385
0.665152
0.607906
0
0.109531
0.232365
4,579
78
159
58.705128
0.516643
0.023586
0
0.46875
0
0
0
0
0
0
0
0
0.8125
1
0.03125
false
0.015625
0.046875
0
0.09375
0.015625
0
0
0
null
0
1
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
e72b38dc0ffb26d33e89fe5da8d51fd9b287e94f
4,465
py
Python
templates/handlers.py
hubenchang0515/AutoCRUD
0a8b9a59506dac4f6118fd6d7404d02aa8b09481
[ "MIT" ]
null
null
null
templates/handlers.py
hubenchang0515/AutoCRUD
0a8b9a59506dac4f6118fd6d7404d02aa8b09481
[ "MIT" ]
null
null
null
templates/handlers.py
hubenchang0515/AutoCRUD
0a8b9a59506dac4f6118fd6d7404d02aa8b09481
[ "MIT" ]
null
null
null
########################################### # Generated by AutoCRUD # # # # This file is used to create public # # handlers # ########################################### from flask import Flask, request, jsonify from common i...
32.355072
97
0.505039
482
4,465
4.543568
0.134855
0.109589
0.040183
0.0621
0.848402
0.834703
0.778539
0.700913
0.686301
0.654338
0
0.002778
0.274356
4,465
138
98
32.355072
0.673148
0.029339
0
0.735537
1
0
0.153992
0.068441
0
0
0
0
0
0
null
null
0
0.024793
null
null
0.066116
0
0
0
null
0
0
0
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
e756726c46f7469eaac90628168168163e6f6d3b
123
py
Python
tests/__init__.py
barroca/prime-number-table
96704cde4cf889ba254f882d91756ed685aae685
[ "MIT" ]
null
null
null
tests/__init__.py
barroca/prime-number-table
96704cde4cf889ba254f882d91756ed685aae685
[ "MIT" ]
null
null
null
tests/__init__.py
barroca/prime-number-table
96704cde4cf889ba254f882d91756ed685aae685
[ "MIT" ]
null
null
null
from tests.test_prime_number_generator import PrimeNumberGeneratorTest from tests.test_prime_matrix import PrimeMatrixTest
41
70
0.918699
15
123
7.2
0.666667
0.166667
0.240741
0.333333
0
0
0
0
0
0
0
0
0.065041
123
2
71
61.5
0.93913
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
99b06ff4e413535fff430d1fb4650a9be9a45258
104
py
Python
torch_burn/traininer/__init__.py
Kitsunetic/torch_burn
08810bc429ba793cbcfe7d3a997e9ffdc724f7b5
[ "MIT" ]
null
null
null
torch_burn/traininer/__init__.py
Kitsunetic/torch_burn
08810bc429ba793cbcfe7d3a997e9ffdc724f7b5
[ "MIT" ]
null
null
null
torch_burn/traininer/__init__.py
Kitsunetic/torch_burn
08810bc429ba793cbcfe7d3a997e9ffdc724f7b5
[ "MIT" ]
null
null
null
from .predict import Predictor from .trainer2 import Trainer2 from .trainer2 import Trainer2 as Trainer
26
41
0.836538
14
104
6.214286
0.5
0.275862
0.413793
0.597701
0
0
0
0
0
0
0
0.044444
0.134615
104
3
42
34.666667
0.922222
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
99b4e9f2f3a6eb8c2d9b8ef0823929c44e500265
122
py
Python
src/Classification/knn.py
yangbochang/FoolishMachineLearning
41a3e6cff7e9630914be55ec91d43aed7e188c82
[ "MIT" ]
null
null
null
src/Classification/knn.py
yangbochang/FoolishMachineLearning
41a3e6cff7e9630914be55ec91d43aed7e188c82
[ "MIT" ]
null
null
null
src/Classification/knn.py
yangbochang/FoolishMachineLearning
41a3e6cff7e9630914be55ec91d43aed7e188c82
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ knn """ def run_knn(): ''' run knn ''' print('\n' + '-' * 30 + '\n It\'s knn!')
12.2
44
0.360656
16
122
2.6875
0.6875
0.27907
0
0
0
0
0
0
0
0
0
0.035294
0.303279
122
9
45
13.555556
0.470588
0.286885
0
0
0
0
0.130435
0
0
0
0
0
0
1
0.5
true
0
0
0
0.5
0.5
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
0
0
1
0
7
41449190231a9781c049e6ff6cd7198e2d82840b
132
py
Python
src/models/loss_fn/__init__.py
kryvokhyzha/bert-for-ukranian-ner
48da40f09cb216ad51a97c303998157858fbe8bc
[ "MIT" ]
null
null
null
src/models/loss_fn/__init__.py
kryvokhyzha/bert-for-ukranian-ner
48da40f09cb216ad51a97c303998157858fbe8bc
[ "MIT" ]
null
null
null
src/models/loss_fn/__init__.py
kryvokhyzha/bert-for-ukranian-ner
48da40f09cb216ad51a97c303998157858fbe8bc
[ "MIT" ]
null
null
null
from models.loss_fn.CrossEntropyLossCustom import CrossEntropyLossCustom from models.loss_fn.FocalLossCustom import FocalLossCustom
44
72
0.909091
14
132
8.428571
0.5
0.169492
0.237288
0.271186
0
0
0
0
0
0
0
0
0.060606
132
2
73
66
0.951613
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
416eff06b20e0bf6312986ae66ee22243ddab566
152
py
Python
confirm/confirm.py
tueda/cli-confirm
7d6d1335c241bdacff058ab826f5b8fc8ecd9a04
[ "MIT" ]
null
null
null
confirm/confirm.py
tueda/cli-confirm
7d6d1335c241bdacff058ab826f5b8fc8ecd9a04
[ "MIT" ]
null
null
null
confirm/confirm.py
tueda/cli-confirm
7d6d1335c241bdacff058ab826f5b8fc8ecd9a04
[ "MIT" ]
null
null
null
"""Function to confirm yes/no.""" import click def confirm(text): # type: (str) -> bool """Confirm yes/no.""" return click.confirm(text)
15.2
33
0.605263
20
152
4.6
0.65
0.217391
0.26087
0
0
0
0
0
0
0
0
0
0.210526
152
9
34
16.888889
0.766667
0.421053
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
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
1
0
0
1
0
1
0
0
7
41c138a1829304e7b6cf03703866609a3fdb7e0b
22,655
py
Python
app/Archived Code for Reference Purposes/market_comp_csv_printer.py
hirokiden/Apprentice-Investor-Tool
37b1deb5374244228e436003dfb17d4d12343672
[ "MIT" ]
1
2019-07-03T14:09:31.000Z
2019-07-03T14:09:31.000Z
app/Archived Code for Reference Purposes/market_comp_csv_printer.py
hirokiden/Apprentice-Investor-Tool
37b1deb5374244228e436003dfb17d4d12343672
[ "MIT" ]
null
null
null
app/Archived Code for Reference Purposes/market_comp_csv_printer.py
hirokiden/Apprentice-Investor-Tool
37b1deb5374244228e436003dfb17d4d12343672
[ "MIT" ]
null
null
null
# python market_comp_csv_printer.py import os import requests import json # need this to import json string into dictionary from datetime import datetime # taken from stackoverflow import csv # so you can write date to .csv # Current Time for transaction pull date_time = datetime.now().strftime("%m/%d/%Y, %I:%M:%S%...
48.304904
166
0.699316
2,711
22,655
5.525267
0.10734
0.27879
0.068896
0.022832
0.816877
0.763068
0.718473
0.70225
0.690099
0.690099
0
0.005335
0.180976
22,655
468
167
48.40812
0.80194
0.282189
0
0.785156
0
0.003906
0.269183
0.004288
0
0
0
0
0
1
0.003906
false
0
0.019531
0.003906
0.027344
0.042969
0
0
0
null
1
0
0
1
1
1
1
0
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
68e56edd8cd5b78dd277a63a1b077a081edc3eef
236
py
Python
run.py
MarlaWillemse/sales-forecast
d9d2d4d591eeba57375694acd1720c345f29c7ee
[ "MIT" ]
1
2020-11-13T06:07:27.000Z
2020-11-13T06:07:27.000Z
run.py
MarlaWillemse/sales-forecast
d9d2d4d591eeba57375694acd1720c345f29c7ee
[ "MIT" ]
null
null
null
run.py
MarlaWillemse/sales-forecast
d9d2d4d591eeba57375694acd1720c345f29c7ee
[ "MIT" ]
null
null
null
from preprocessing.data_utils import * import sys from preprocessing.data_prep1 import * from preprocessing.xgboost_data import * from models.xgboost_tune import * from models.xgboost_preds import * from create_report.md_func import *
26.222222
40
0.834746
33
236
5.757576
0.454545
0.210526
0.221053
0.242105
0
0
0
0
0
0
0
0.004785
0.114407
236
8
41
29.5
0.904306
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
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
68fb94fdabbfeb9028407eb3272f3c551e44a51c
148
py
Python
robinhood/__init__.py
ChrisSowards/Robinhood
76056dcf922e66ebca60f2f70bfc1f5c1d203d7b
[ "MIT" ]
1
2020-06-18T18:08:32.000Z
2020-06-18T18:08:32.000Z
robinhood/__init__.py
ChrisSowards/Robinhood
76056dcf922e66ebca60f2f70bfc1f5c1d203d7b
[ "MIT" ]
null
null
null
robinhood/__init__.py
ChrisSowards/Robinhood
76056dcf922e66ebca60f2f70bfc1f5c1d203d7b
[ "MIT" ]
null
null
null
import six if six.PY3: from .trader import Trader else: from .trader import Trader from . import endpoints from . import crypto_endpoints
14.8
30
0.743243
21
148
5.190476
0.428571
0.183486
0.293578
0.40367
0
0
0
0
0
0
0
0.008547
0.209459
148
9
31
16.444444
0.923077
0
0
0.285714
0
0
0
0
0
0
0
0
0
1
0
true
0
0.714286
0
0.714286
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
68fca2440bbc4f490c504eb96997854efc2271ae
676,716
py
Python
hyper_resource/tests.py
IDEHCO3/kanban-backend
902732f0fd569627925356d6b9d68a5ec7680b88
[ "MIT" ]
null
null
null
hyper_resource/tests.py
IDEHCO3/kanban-backend
902732f0fd569627925356d6b9d68a5ec7680b88
[ "MIT" ]
null
null
null
hyper_resource/tests.py
IDEHCO3/kanban-backend
902732f0fd569627925356d6b9d68a5ec7680b88
[ "MIT" ]
null
null
null
import django import rest_framework #from rest_framework import generics #from rest_framework.response import Response #from rest_framework.views import APIView #from rest_framework import permissions #from rest_framework import permissions from django.contrib.gis.geos import Point from django.test import TestCase # C...
63.750919
644
0.743024
80,445
676,716
5.853216
0.012692
0.085596
0.047211
0.042399
0.969843
0.962505
0.952154
0.946324
0.940031
0.932101
0
0.007155
0.153425
676,716
10,614
645
63.756925
0.81475
0.043393
0
0.793229
0
0.00927
0.1533
0.056099
0
0
0
0.000377
0.505979
1
0.074164
false
0.007658
0.003225
0.000806
0.091361
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
1
0
0
0
0
0
0
0
0
0
8
ec2fcc0503789b806683d8c4f39d4c37c976288e
440
py
Python
aiocouch/__init__.py
adrienverge/aiocouch
c75d6c8ef322947f8b4e8a2b329e68bb03be6b83
[ "BSD-3-Clause" ]
null
null
null
aiocouch/__init__.py
adrienverge/aiocouch
c75d6c8ef322947f8b4e8a2b329e68bb03be6b83
[ "BSD-3-Clause" ]
null
null
null
aiocouch/__init__.py
adrienverge/aiocouch
c75d6c8ef322947f8b4e8a2b329e68bb03be6b83
[ "BSD-3-Clause" ]
null
null
null
from .couchdb import CouchDB from .exception import ( BadRequestError, ConflictError, UnauthorizedError, NotFoundError, ExpectationFailedError, PreconditionFailedError, UnsupportedMediaTypeError, ) __all__ = [ "CouchDB", "BadRequestError", "ConflictError", "UnauthorizedError...
20
32
0.711364
23
440
13.434783
0.521739
0.18123
0.291262
0.375405
0.828479
0.828479
0.828479
0
0
0
0
0
0.202273
440
21
33
20.952381
0.880342
0
0
0
0
0
0.306818
0.159091
0
0
0
0
0
1
0
false
0
0.1
0
0.1
0
1
0
1
null
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
6b619fd684aa25b6dbf08d7402ec1e7fa0d4e820
14,318
py
Python
geosoft/gxapi/GXGRID3D.py
fearaschiarrai/gxpy
4c5e7594b24e530a8cd94df1eef562c5c6ce3e92
[ "BSD-2-Clause" ]
25
2017-07-14T06:39:37.000Z
2022-03-09T21:39:51.000Z
geosoft/gxapi/GXGRID3D.py
fearaschiarrai/gxpy
4c5e7594b24e530a8cd94df1eef562c5c6ce3e92
[ "BSD-2-Clause" ]
100
2016-12-13T17:30:41.000Z
2021-08-01T20:21:13.000Z
geosoft/gxapi/GXGRID3D.py
fearaschiarrai/gxpy
4c5e7594b24e530a8cd94df1eef562c5c6ce3e92
[ "BSD-2-Clause" ]
28
2016-12-12T17:34:40.000Z
2022-03-16T15:39:39.000Z
### extends 'class_empty.py' ### block ClassImports # NOTICE: Do not edit anything here, it is generated code from . import gxapi_cy from geosoft.gxapi import GXContext, float_ref, int_ref, str_ref ### endblock ClassImports ### block Header # NOTICE: The code generator will not replace the code in this block ### end...
28.521912
439
0.564534
1,783
14,318
4.37521
0.076837
0.019997
0.037687
0.056531
0.787976
0.76362
0.75516
0.735162
0.715165
0.698885
0
0.022777
0.334614
14,318
502
440
28.521912
0.796053
0.600293
0
0.2
1
0
0
0
0
0
0
0
0
1
0.369231
false
0
0.030769
0
0.646154
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
1
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
6b7b2a29bcbbdabcbf2cdba95df668b81ac90c1b
11,584
py
Python
PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py
nihole/PSEFABRIC
366461ab86f99665bf310425c6ce05a216343ec9
[ "Apache-2.0", "MIT" ]
11
2017-06-29T10:12:39.000Z
2020-03-12T07:19:11.000Z
PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py
nihole/PSEFABRIC
366461ab86f99665bf310425c6ce05a216343ec9
[ "Apache-2.0", "MIT" ]
null
null
null
PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py
nihole/PSEFABRIC
366461ab86f99665bf310425c6ce05a216343ec9
[ "Apache-2.0", "MIT" ]
3
2019-04-18T06:44:21.000Z
2021-06-26T14:22:55.000Z
import re import cidr_to_netmask ''' The list of templates for cisco ''' ######## vlan ########### def cisco_create_vlan (name, ipv4_prefix, vlan, vrf, interface): config_txt = ''' vlan %s name %s''' % (vlan, name) return config_txt def cisco_delete_vlan (name, ipv4_prefix, vlan, vrf, interface): config...
31.736986
266
0.68068
1,520
11,584
4.886184
0.054605
0.087519
0.05655
0.048472
0.939814
0.931601
0.912751
0.899421
0.885283
0.85243
0
0.002491
0.202866
11,584
364
267
31.824176
0.801819
0.00682
0
0.78626
0
0.007634
0.197242
0
0
0
0
0
0
1
0.10687
false
0
0.007634
0
0.221374
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
6b9479a8612c1340081b404912f6263e96e9e0f4
2,536
py
Python
tests/test_checker.py
drvinceknight/dwys
cdf34a43937d1f12d5e6705754469074aebf71d9
[ "MIT" ]
null
null
null
tests/test_checker.py
drvinceknight/dwys
cdf34a43937d1f12d5e6705754469074aebf71d9
[ "MIT" ]
3
2019-11-07T10:56:13.000Z
2019-11-07T11:46:54.000Z
tests/test_checker.py
drvinceknight/dwys
cdf34a43937d1f12d5e6705754469074aebf71d9
[ "MIT" ]
null
null
null
import pytest import dwys def test_diff_with_no_diff_python(): input_code = [ "a = 4 + 4\nb = a + 3\nprint(b)\n", "weights = [12, 15, 10]\nfor weight in weights:\n print(weight)\n", ] expected_output_code = ["11\n12\n15\n10"] diff, output_code, expected_output = dwys.diff( ...
28.494382
78
0.591088
335
2,536
4.173134
0.146269
0.214592
0.23176
0.157368
0.934907
0.925608
0.881259
0.881259
0.881259
0.876967
0
0.040519
0.27011
2,536
88
79
28.818182
0.714749
0
0
0.506667
0
0
0.209385
0
0
0
0
0
0.106667
1
0.08
false
0
0.026667
0
0.106667
0.093333
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
2e1125ce4d15c55676248d7998045dbe314c788f
6,545
py
Python
loldib/getratings/models/NA/na_syndra/na_syndra_sup.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_syndra/na_syndra_sup.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_syndra/na_syndra_sup.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
from getratings.models.ratings import Ratings class NA_Syndra_Sup_Aatrox(Ratings): pass class NA_Syndra_Sup_Ahri(Ratings): pass class NA_Syndra_Sup_Akali(Ratings): pass class NA_Syndra_Sup_Alistar(Ratings): pass class NA_Syndra_Sup_Amumu(Ratings): pass class NA_Syndra_Sup_Anivia(Ratings): ...
15.695444
46
0.766692
972
6,545
4.736626
0.151235
0.209818
0.389661
0.479583
0.803432
0.803432
0
0
0
0
0
0
0.169748
6,545
416
47
15.733173
0.847258
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
1
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
0
0
0
7
cf1e28fae11f00409a5d1a10dadd6da478d5b0ab
5,880
py
Python
rest_api/general.py
giusdp/pandascore-API-python
50c912ba5f4d63711bc94436a4da529becbe7311
[ "MIT" ]
1
2017-12-01T19:39:05.000Z
2017-12-01T19:39:05.000Z
rest_api/general.py
giusdp/pandascore-API-python
50c912ba5f4d63711bc94436a4da529becbe7311
[ "MIT" ]
null
null
null
rest_api/general.py
giusdp/pandascore-API-python
50c912ba5f4d63711bc94436a4da529becbe7311
[ "MIT" ]
null
null
null
from rest_api.videogame import GenericCallsSet class GeneralPanda(GenericCallsSet): def __init__(self): super().__init__() # LEAGUES def get_all_leagues(self, q_sort=None, q_filter=None, q_range=None): """Return all the leagues. They can be sorted, filtered :param q_sort: a list ...
54.444444
117
0.69949
897
5,880
4.217391
0.104794
0.050225
0.079038
0.115517
0.753106
0.73566
0.73566
0.722707
0.722707
0.671953
0
0
0.196599
5,880
107
118
54.953271
0.800804
0.106293
0
0.174603
0
0
0.061884
0
0
0
0
0
0
1
0.396825
false
0
0.015873
0.365079
0.809524
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
8
cf2ec80ca94a935671070dfd15070fbbbd531bce
3,565
py
Python
dex_envs/__init__.py
huangwl18/geometry-dex
0c629316258ef560b360c6103d83d5cb828e3ccd
[ "MIT" ]
29
2021-11-11T23:05:02.000Z
2022-03-10T06:05:23.000Z
dex_envs/__init__.py
huangwl18/geometry-dex
0c629316258ef560b360c6103d83d5cb828e3ccd
[ "MIT" ]
2
2021-12-13T16:18:14.000Z
2022-03-09T14:04:37.000Z
dex_envs/__init__.py
huangwl18/geometry-dex
0c629316258ef560b360c6103d83d5cb828e3ccd
[ "MIT" ]
2
2021-11-18T06:00:30.000Z
2021-12-17T03:04:52.000Z
import os from gym.envs.registration import register OWN_PATH = os.path.dirname(os.path.abspath(__file__)) # Arguments for different versions of dex-rotate environments, used to initialize ManipulateEnv from Gym all_versions = { 'v0': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'sparse...
75.851064
166
0.701262
410
3,565
5.758537
0.241463
0.216857
0.135536
0.176197
0.735282
0.735282
0.735282
0.735282
0.735282
0.735282
0
0.009325
0.12763
3,565
46
167
77.5
0.749839
0.028612
0
0
0
0
0.552153
0.246749
0
0
0
0
0
1
0
false
0
0.05
0
0.05
0.05
0
0
0
null
1
0
1
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
cf59f199b08ca5b585201bf0c78fe78ebf06c0b2
8,114
py
Python
VNN/experiment/learning.py
arthuraleksandrovich/vector_ann
35158b5f9741646c362ef2c069be3503186975c9
[ "MIT" ]
null
null
null
VNN/experiment/learning.py
arthuraleksandrovich/vector_ann
35158b5f9741646c362ef2c069be3503186975c9
[ "MIT" ]
null
null
null
VNN/experiment/learning.py
arthuraleksandrovich/vector_ann
35158b5f9741646c362ef2c069be3503186975c9
[ "MIT" ]
null
null
null
"""Model testing and validation""" import matplotlib.pyplot as plt import numpy as np import time def validate_model(model_generator, datasets_generator, epochs=50, loss_name="mean_squared_error", measure_name="val_mean_squared_error", \ print_summary=True): """K-fold validation of model""" ...
38.638095
139
0.652699
1,018
8,114
4.878193
0.09332
0.149416
0.044503
0.024164
0.871929
0.803061
0.786549
0.750705
0.718083
0.70882
0
0.011271
0.25647
8,114
210
140
38.638095
0.811868
0.039315
0
0.710843
0
0
0.105643
0.01984
0
0
0
0
0
1
0.024096
false
0
0.018072
0
0.042169
0.13253
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
cf8115510aa9e767f689bce6d9254135740c1138
445
py
Python
challenges/shift-list/shift_list_test.py
tyler-fishbone/data-structures-and-algorithms
29790f2672d3ddb0aadf62725f28180b092f4568
[ "MIT" ]
null
null
null
challenges/shift-list/shift_list_test.py
tyler-fishbone/data-structures-and-algorithms
29790f2672d3ddb0aadf62725f28180b092f4568
[ "MIT" ]
4
2018-03-22T19:19:11.000Z
2018-04-11T00:35:26.000Z
challenges/shift-list/shift_list_test.py
tyler-fishbone/data-structures-and-algorithms
29790f2672d3ddb0aadf62725f28180b092f4568
[ "MIT" ]
null
null
null
import shift_list import pytest def test_insert_shift_list_with_valid_list_odd(): assert shift_list.insert_shift_list([1,2,3,4,5,6,7,8,9], 'X') == [1, 2, 3, 4, 'X', 5, 6, 7, 8, 9] def test_insert_shift_list_with_valid_list_even(): assert shift_list.insert_shift_list([1,2,3,4,5,6,7,8], 'X') == [1, 2, 3, 4, 'X'...
37.083333
101
0.685393
90
445
3.044444
0.255556
0.328467
0.328467
0.058394
0.850365
0.843066
0.733577
0.733577
0.350365
0.350365
0
0.087629
0.12809
445
11
102
40.454545
0.618557
0
0
0
0
0
0.013483
0
0
0
0
0
0.375
1
0.375
true
0
0.25
0
0.625
0
0
0
0
null
1
1
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
0
0
0
0
8
d86c08ebb3c818cb0a63145b6ee50e605c1652f9
1,005
py
Python
test_fixtures/general_repo/very_long_file.py
SerejkaSJ/fiasko_bro
dfb8c30109f317c1e5b6d211e002fd148695809e
[ "MIT" ]
25
2018-01-24T10:45:35.000Z
2020-12-05T21:47:20.000Z
test_fixtures/general_repo/very_long_file.py
SerejkaSJ/fiasko_bro
dfb8c30109f317c1e5b6d211e002fd148695809e
[ "MIT" ]
110
2018-01-21T12:25:13.000Z
2021-06-10T19:27:22.000Z
test_fixtures/general_repo/very_long_file.py
SerejkaSJ/fiasko_bro
dfb8c30109f317c1e5b6d211e002fd148695809e
[ "MIT" ]
13
2017-12-12T22:19:01.000Z
2019-01-29T18:08:05.000Z
pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass ...
4.975248
4
0.8
201
1,005
4
0.004975
1.99005
2.970149
3.940299
1
1
1
1
1
1
0
0
0.2
1,005
201
5
5
1
0
0
1
0
0
0
0
0
1
0
0
0
1
0
true
1
0
0
0
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
0
null
1
0
0
0
0
0
1
1
0
0
0
0
0
13
d885868a7c81134d5bda828ced1d19aadcadb776
121
py
Python
kanga/stats/batch_var.py
kushagragpt99/kanga
1f2343d15965148ae7c1dea95168c31a87b27c4f
[ "MIT" ]
1
2022-02-03T08:50:35.000Z
2022-02-03T08:50:35.000Z
kanga/stats/batch_var.py
kushagragpt99/kanga
1f2343d15965148ae7c1dea95168c31a87b27c4f
[ "MIT" ]
null
null
null
kanga/stats/batch_var.py
kushagragpt99/kanga
1f2343d15965148ae7c1dea95168c31a87b27c4f
[ "MIT" ]
null
null
null
import numpy as np from .batch_mean import batch_mean def batch_var(x, b): return np.var(batch_mean(x, b), ddof=1)
17.285714
43
0.719008
24
121
3.458333
0.583333
0.325301
0
0
0
0
0
0
0
0
0
0.01
0.173554
121
6
44
20.166667
0.82
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
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
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
2b19abbf4cc5a26b4e6b67538df605cb5df6afa6
1,212
py
Python
captivity/tests/test_merge.py
maxsnijders/captivity
c3c2bde554f83e567c8e078db4e6bccda57eff8b
[ "MIT" ]
null
null
null
captivity/tests/test_merge.py
maxsnijders/captivity
c3c2bde554f83e567c8e078db4e6bccda57eff8b
[ "MIT" ]
null
null
null
captivity/tests/test_merge.py
maxsnijders/captivity
c3c2bde554f83e567c8e078db4e6bccda57eff8b
[ "MIT" ]
null
null
null
import pytest def test_merge_with_duplicate_columns(): import captivity import pandas as pd with pytest.raises(captivity.CaptivityException): pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on="a", ) captivity.warning_mode() with py...
28.857143
79
0.508251
158
1,212
3.822785
0.196203
0.218543
0.238411
0.129139
0.743377
0.743377
0.743377
0.743377
0.743377
0.743377
0
0.039344
0.24505
1,212
41
80
29.560976
0.620765
0
0
0.516129
0
0
0.028878
0
0
0
0
0
0
1
0.064516
true
0
0.16129
0
0.225806
0
0
0
0
null
1
1
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
8
2b1fa7dbce8d71892d9c7b2eaae229f0ffdd3b18
16,603
py
Python
grad_tn/tensornetworks/peps/brute_force_contraction/obc.py
Jakob-Unfried/msc-legacy
2c41f3f714936c25dd534bd66da802c26176fcfa
[ "MIT" ]
1
2021-03-22T14:16:43.000Z
2021-03-22T14:16:43.000Z
grad_tn/tensornetworks/peps/brute_force_contraction/obc.py
Jakob-Unfried/msc-legacy
2c41f3f714936c25dd534bd66da802c26176fcfa
[ "MIT" ]
null
null
null
grad_tn/tensornetworks/peps/brute_force_contraction/obc.py
Jakob-Unfried/msc-legacy
2c41f3f714936c25dd534bd66da802c26176fcfa
[ "MIT" ]
null
null
null
import numpy as onp import grad_tn.tensornetworks.peps.brute_force_contraction._obc_instructions as instructions from utils.jax_utils.ncon_jax import ncon def two_layers(bra_tensors, ket_tensors): lx, ly = len(bra_tensors), len(bra_tensors[0]) assert all(len(bra_tensors[x]) == ly for x in range(lx)) asser...
36.093478
118
0.466783
2,928
16,603
2.498634
0.045765
0.062056
0.020503
0.044287
0.919492
0.915254
0.908967
0.896391
0.881629
0.878896
0
0.035601
0.355418
16,603
459
119
36.172113
0.64801
0.149852
0
0.722045
0
0
0.009165
0
0
0
0
0
0.051118
1
0.070288
false
0
0.009585
0.009585
0.309904
0.025559
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
2b3dd39f1163cd7d91d3dcecc75d4fd5fe52c9c3
103
py
Python
pyball/constants.py
SebastianDang/PyBall
d1965aa01477b5ee0db9c0463ec584a7e3997395
[ "MIT" ]
null
null
null
pyball/constants.py
SebastianDang/PyBall
d1965aa01477b5ee0db9c0463ec584a7e3997395
[ "MIT" ]
null
null
null
pyball/constants.py
SebastianDang/PyBall
d1965aa01477b5ee0db9c0463ec584a7e3997395
[ "MIT" ]
null
null
null
BASE_URL = "http://statsapi.mlb.com/api/v1/" CURRENT_VERSION_URL = "http://statsapi.mlb.com/api/v1.1/"
34.333333
57
0.718447
18
103
3.944444
0.611111
0.197183
0.422535
0.507042
0.732394
0.732394
0.732394
0
0
0
0
0.030928
0.058252
103
2
58
51.5
0.701031
0
0
0
0
0
0.621359
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
1
1
0
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2b6950773d069040200276ce9bf896f37ed052e9
6,563
py
Python
nulspy/trxs/contract.py
xiangxn/nulspy
df2323bcb6fb76b16e236a5c2331a1a74ee99908
[ "MIT" ]
2
2020-03-16T06:00:55.000Z
2020-03-16T21:09:03.000Z
nulspy/trxs/contract.py
xiangxn/nulspy
df2323bcb6fb76b16e236a5c2331a1a74ee99908
[ "MIT" ]
null
null
null
nulspy/trxs/contract.py
xiangxn/nulspy
df2323bcb6fb76b16e236a5c2331a1a74ee99908
[ "MIT" ]
null
null
null
from nulspy.coder import Coder from .register import register_tx_type from nulspy.base_data import BaseNulsData from nulspy.define import Define from nulspy.address import Address from nulspy.trxs.base import BaseModuleData import struct import logging LOGGER = logging.getLogger('contract_module') class CreateContra...
36.664804
83
0.587384
691
6,563
5.545586
0.151954
0.078288
0.10334
0.078288
0.808455
0.788361
0.76905
0.757568
0.757568
0.757568
0
0.009975
0.282036
6,563
179
84
36.664804
0.803268
0.021332
0
0.777027
0
0
0.113725
0
0
0
0
0.005587
0
1
0
false
0.027027
0.054054
0
0.114865
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
99a8f3cfb368522b098b2079313bf23640f75f37
16,744
py
Python
boa3_test/tests/compiler_tests/test_relational.py
DanPopa46/neo3-boa
e4ef340744b5bd25ade26f847eac50789b97f3e9
[ "Apache-2.0" ]
null
null
null
boa3_test/tests/compiler_tests/test_relational.py
DanPopa46/neo3-boa
e4ef340744b5bd25ade26f847eac50789b97f3e9
[ "Apache-2.0" ]
null
null
null
boa3_test/tests/compiler_tests/test_relational.py
DanPopa46/neo3-boa
e4ef340744b5bd25ade26f847eac50789b97f3e9
[ "Apache-2.0" ]
null
null
null
from boa3.boa3 import Boa3 from boa3.exception.CompilerError import MismatchedTypes, NotSupportedOperation from boa3.neo.vm.opcode.Opcode import Opcode from boa3.neo.vm.type.Integer import Integer from boa3_test.tests.boa_test import BoaTest from boa3_test.tests.test_classes.TestExecutionException import TestExecutionE...
34.738589
97
0.598722
1,787
16,744
5.421377
0.074426
0.114575
0.071841
0.119736
0.879026
0.875
0.843724
0.81441
0.794385
0.781585
0
0.019193
0.293657
16,744
481
98
34.810811
0.799949
0
0
0.747525
0
0
0.065038
0.008779
0
0
0
0
0.200495
1
0.066832
false
0
0.017327
0
0.089109
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
510bda90e0d53dcb3c958abd36404a8f5fdfff37
191
py
Python
management/Events/admin.py
imbiswas/student-management-system
4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518
[ "MIT" ]
null
null
null
management/Events/admin.py
imbiswas/student-management-system
4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518
[ "MIT" ]
null
null
null
management/Events/admin.py
imbiswas/student-management-system
4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518
[ "MIT" ]
null
null
null
from __future__ import unicode_literals from django.contrib import admin from Events.models import * # Register your models here. admin.site.register(Event_Type) admin.site.register(Event)
21.222222
39
0.82199
27
191
5.592593
0.592593
0.119205
0.225166
0.291391
0
0
0
0
0
0
0
0
0.109948
191
8
40
23.875
0.888235
0.136126
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.6
0
0.6
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
51466db620ff4736dd4c897ad57c4694bedeb417
13,660
py
Python
tests/test_observable/test_map.py
christiansandberg/RxPY
036027d2858ea6c9d45839c863bd791e5bb50c36
[ "MIT" ]
null
null
null
tests/test_observable/test_map.py
christiansandberg/RxPY
036027d2858ea6c9d45839c863bd791e5bb50c36
[ "MIT" ]
null
null
null
tests/test_observable/test_map.py
christiansandberg/RxPY
036027d2858ea6c9d45839c863bd791e5bb50c36
[ "MIT" ]
null
null
null
import unittest from reactivex import create, empty, return_value, throw from reactivex.disposable import SerialDisposable from reactivex.operators import map, map_indexed from reactivex.testing import ReactiveTest, TestScheduler on_next = ReactiveTest.on_next on_completed = ReactiveTest.on_completed on_error = React...
28.818565
88
0.511786
1,520
13,660
4.421711
0.074342
0.105341
0.02946
0.038685
0.840798
0.812677
0.790061
0.778753
0.754947
0.732183
0
0.087434
0.373719
13,660
473
89
28.879493
0.698188
0.00388
0
0.762148
0
0
0.003675
0
0
0
0
0
0.11509
1
0.104859
false
0.002558
0.012788
0.01023
0.194373
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
5aa4824098d3637fe5e3f5da5919a6352d54314e
21,621
py
Python
forms/migrations/0035_auto_20200114_1330.py
CodeForAfrica/gmmp
d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf
[ "Apache-2.0" ]
4
2020-01-05T09:14:19.000Z
2022-02-17T03:22:09.000Z
forms/migrations/0035_auto_20200114_1330.py
CodeForAfrica/gmmp
d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf
[ "Apache-2.0" ]
68
2019-12-23T02:19:55.000Z
2021-04-23T06:13:36.000Z
forms/migrations/0035_auto_20200114_1330.py
CodeForAfrica/gmmp
d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf
[ "Apache-2.0" ]
2
2020-11-07T12:23:21.000Z
2021-11-07T18:21:31.000Z
# Generated by Django 2.2.9 on 2020-01-14 13:30 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('forms', '0034_auto_20191218_1356'), ] operations = [ migrations.AlterField( model_name='internetnewsperson', name='f...
77.494624
762
0.641321
2,812
21,621
4.842461
0.082148
0.077844
0.097305
0.112874
0.969377
0.969377
0.914445
0.888155
0.856209
0.848278
0
0.018541
0.221683
21,621
278
763
77.773381
0.790647
0.002081
0
0.841912
1
0.084559
0.508343
0.010939
0
0
0
0
0
1
0
false
0
0.003676
0
0.014706
0.007353
0
0
0
null
0
0
0
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
8
5aa8056034464d62358e3e0cb976930423ab1ffb
1,295
py
Python
userBotInterface/models.py
nimag42/HungryBot
43f51925329b25e56856f3c411588153504155ac
[ "MIT" ]
null
null
null
userBotInterface/models.py
nimag42/HungryBot
43f51925329b25e56856f3c411588153504155ac
[ "MIT" ]
null
null
null
userBotInterface/models.py
nimag42/HungryBot
43f51925329b25e56856f3c411588153504155ac
[ "MIT" ]
null
null
null
from django.db import models class choice_str(models.Model): text = models.CharField(max_length=200) nb_choice = models.IntegerField('Number of choice', default=0) def __unicode__(self): return self.text class hello_morning(models.Model): text = models.CharField(max_length=200) def __uni...
21.583333
66
0.689575
167
1,295
5.017964
0.191617
0.118138
0.161098
0.225537
0.871122
0.871122
0.871122
0.871122
0.819809
0.76611
0
0.027478
0.213127
1,295
59
67
21.949153
0.794897
0
0
0.710526
0
0
0.012355
0
0
0
0
0
0
1
0.236842
false
0
0.026316
0.236842
1
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
1
0
0
0
1
1
0
0
11
51c981ea4d6b24ae4510f19c1bde8d5416c30cdc
22,615
py
Python
data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py
MedadRufus/MastersProject
b2e498e14e1e8b9bcae29c4236522f65711f685b
[ "MIT" ]
null
null
null
data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py
MedadRufus/MastersProject
b2e498e14e1e8b9bcae29c4236522f65711f685b
[ "MIT" ]
205
2021-01-28T17:08:22.000Z
2021-06-29T17:08:47.000Z
data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py
MedadRufus/MastersProject
b2e498e14e1e8b9bcae29c4236522f65711f685b
[ "MIT" ]
null
null
null
import unittest from datetime import datetime from statistics import variance class Test_Scorer(unittest.TestCase): def test_variance_0(self): values = [38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432...
1,027.954545
11,118
0.84665
2,267
22,615
8.439788
0.011469
0.985366
1.099305
1.967177
0.986411
0.986411
0.986411
0.986411
0.986411
0.986411
0
0.881932
0.053593
22,615
22
11,119
1,027.954545
0.012008
0
0
0.142857
0
0
0.000354
0
0
0
0
0
0.142857
1
0.142857
false
0
0.214286
0
0.428571
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
13
51ea87e57eb8c0be4dd48a72bf77a7d41c9e3c32
1,926
py
Python
tests/test_bha.py
R3bs/darwin
3ebb0888ea9f0b688ba6aa1734667e62b721df53
[ "MIT" ]
null
null
null
tests/test_bha.py
R3bs/darwin
3ebb0888ea9f0b688ba6aa1734667e62b721df53
[ "MIT" ]
28
2019-06-12T19:55:23.000Z
2019-08-06T02:47:26.000Z
tests/test_bha.py
R3bs/darwin
3ebb0888ea9f0b688ba6aa1734667e62b721df53
[ "MIT" ]
null
null
null
import pytest import darwin import numpy as np # define the mapping parameters used x = (-200,+200) y = (-1000,+1000) # discrete used map1 = (0,1,2,3) map2 = ('a', 'b', 'c', 'd') def test_htcondor_bha_continuous(supplyFitnessFunction): bha = darwin.Algorithm(darwin.opt.BlackHoleAlgorithm) bha.particles = np...
32.644068
62
0.722222
233
1,926
5.909871
0.23176
0.046478
0.087146
0.092956
0.901235
0.901235
0.901235
0.888889
0.888889
0.888889
0
0.031921
0.154206
1,926
58
63
33.206897
0.813382
0.024922
0
0.765957
0
0
0.050214
0.023504
0
0
0
0
0
1
0.085106
false
0
0.06383
0
0.148936
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
cfd5c834aa6b5c09b06e22426499ae1e9c40bf4d
40
py
Python
alicehoyle/blueprints/pages/__init__.py
benhoyle/alicewebsite
52516d56ca105cdc4e17f3e8e3855d135c845a35
[ "MIT" ]
null
null
null
alicehoyle/blueprints/pages/__init__.py
benhoyle/alicewebsite
52516d56ca105cdc4e17f3e8e3855d135c845a35
[ "MIT" ]
null
null
null
alicehoyle/blueprints/pages/__init__.py
benhoyle/alicewebsite
52516d56ca105cdc4e17f3e8e3855d135c845a35
[ "MIT" ]
null
null
null
from blueprints.pages.views import pages
40
40
0.875
6
40
5.833333
0.833333
0
0
0
0
0
0
0
0
0
0
0
0.075
40
1
40
40
0.945946
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
1
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
7
320cdc92e10dadae0dea4c5979cf24490712f6c1
21,823
py
Python
new/CustomVAE.py
yizhouzhao/3D_SLN
5db241f1daa6e8095b69ff8467551ce374b598b6
[ "Apache-2.0" ]
null
null
null
new/CustomVAE.py
yizhouzhao/3D_SLN
5db241f1daa6e8095b69ff8467551ce374b598b6
[ "Apache-2.0" ]
null
null
null
new/CustomVAE.py
yizhouzhao/3D_SLN
5db241f1daa6e8095b69ff8467551ce374b598b6
[ "Apache-2.0" ]
null
null
null
from logging import log import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Categorical from models.graph import make_mlp, GraphTripleConvNet, _init_weights from torch_geometric.nn import RGCNConv from torch_scatter import scatter_mean from transformers import BertModel...
41.967308
142
0.621363
2,944
21,823
4.238451
0.069973
0.100978
0.019795
0.030774
0.824571
0.798045
0.784821
0.762141
0.748037
0.743549
0
0.014045
0.288778
21,823
520
143
41.967308
0.789898
0.075196
0
0.787879
0
0
0.023932
0
0
0
0
0
0
1
0.032828
false
0
0.025253
0
0.090909
0.005051
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
32139b604c559e3108e15cb3750b678bd6830526
61
py
Python
src/python/project/model.py
datitran/ds-concourse-ci
6b993a28178dd991cb4af5e4322aa9f814a4890b
[ "MIT" ]
2
2017-06-16T15:45:42.000Z
2018-08-06T13:55:47.000Z
src/python/project/model.py
datitran/ds-concourse-ci
6b993a28178dd991cb4af5e4322aa9f814a4890b
[ "MIT" ]
null
null
null
src/python/project/model.py
datitran/ds-concourse-ci
6b993a28178dd991cb4af5e4322aa9f814a4890b
[ "MIT" ]
1
2018-08-06T13:55:49.000Z
2018-08-06T13:55:49.000Z
import numpy as np def power(x): return np.power(x, 2)
10.166667
25
0.639344
12
61
3.25
0.75
0.307692
0
0
0
0
0
0
0
0
0
0.021739
0.245902
61
5
26
12.2
0.826087
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0.333333
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
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
5c568c278a137d6c10d090a9e3effbf4296f7491
180,814
py
Python
pyboto3/batch.py
gehad-shaat/pyboto3
4a0c2851a8bc04fb1c71c36086f7bb257e48181d
[ "MIT" ]
91
2016-12-31T11:38:37.000Z
2021-09-16T19:33:23.000Z
pyboto3/batch.py
gehad-shaat/pyboto3
4a0c2851a8bc04fb1c71c36086f7bb257e48181d
[ "MIT" ]
7
2017-01-02T18:54:23.000Z
2020-08-11T13:54:02.000Z
pyboto3/batch.py
gehad-shaat/pyboto3
4a0c2851a8bc04fb1c71c36086f7bb257e48181d
[ "MIT" ]
26
2016-12-31T13:11:00.000Z
2022-03-03T21:01:12.000Z
''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, p...
45.938516
9,457
0.637771
21,985
180,814
5.236798
0.048897
0.012117
0.00271
0.002397
0.884175
0.863964
0.844534
0.827779
0.816461
0.803971
0
0.011426
0.290868
180,814
3,935
9,458
45.950191
0.886485
0.984658
0
0.5
0
0
0
0
0
0
0
0
0
1
0.5
false
0.5
0
0
0.5
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
10
5c9eacc27f97a8db3208050bfc60a8ad36e580f4
203
py
Python
vk/__init__.py
tsvstar/vk_downloader
52c956b1b75f386677dcd3eb412f52443588a92f
[ "MIT" ]
4
2015-06-02T01:27:29.000Z
2018-04-15T20:14:51.000Z
v2/vk/__init__.py
seet61/one
c501a04e960eda26aad7bb275cf3ede5207b5812
[ "BSD-2-Clause" ]
null
null
null
v2/vk/__init__.py
seet61/one
c501a04e960eda26aad7bb275cf3ede5207b5812
[ "BSD-2-Clause" ]
1
2021-04-25T12:38:41.000Z
2021-04-25T12:38:41.000Z
from vk.api import APISession as API from vk.api import VkError, VkAuthorizationError, VkAPIMethodError from vk.mixins import EnterCaptchaMixin class EnterCaptchaAPI(EnterCaptchaMixin, API): pass
22.555556
66
0.82266
24
203
6.958333
0.583333
0.107784
0.107784
0.179641
0
0
0
0
0
0
0
0
0.133005
203
8
67
25.375
0.948864
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.2
0.6
0
0.8
0
1
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
7a2b396cc9609c0ef84de11e1598f106f547daa3
968,588
py
Python
Utils/words6.py
dobrosketchkun/MOI
9e9907a443319f022acad61a92a4792574a77a5f
[ "Unlicense" ]
3
2018-12-18T20:08:48.000Z
2018-12-25T00:52:57.000Z
Utils/words6.py
dobrosketchkun/MOI
9e9907a443319f022acad61a92a4792574a77a5f
[ "Unlicense" ]
null
null
null
Utils/words6.py
dobrosketchkun/MOI
9e9907a443319f022acad61a92a4792574a77a5f
[ "Unlicense" ]
null
null
null
#slightly modified version of 12of12inf.txt in https://github.com/en-wl/wordlist #SCOWL is derived from many sources under a BSD compatible license. The combined work is freely available under a MIT-like license. words = ['aardvark', 'aardvarks', 'abacus', 'abacuses', 'abalone', 'abalones', 'abandon', 'abandoned', 'ab...
242,147
968,374
0.69563
73,641
968,588
9.149509
0.99981
0.000018
0
0
0
0
0
0
0
0
0
0.000004
0.076023
968,588
4
968,374
242,147
0.752861
0.000216
0
0
0
0
0.695953
0.000312
0
0
0
0
1
1
0
false
1
1
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
1
0
null
0
0
0
1
0
0
0
1
1
0
1
1
0
9
7a3c57f7a33d6042fdef912e67178f45cb20a155
38,845
py
Python
ydb/public/api/grpc/yq_v1_pb2_grpc.py
gridnevvvit/ydb-python-sdk
952f7b4f179595b07711934691d2e15643929cc5
[ "Apache-2.0" ]
2
2022-02-18T16:18:52.000Z
2022-02-19T20:15:05.000Z
ydb/public/api/grpc/yq_v1_pb2_grpc.py
gridnevvvit/ydb-python-sdk
952f7b4f179595b07711934691d2e15643929cc5
[ "Apache-2.0" ]
1
2022-02-09T12:49:19.000Z
2022-02-21T08:15:36.000Z
ydb/public/api/grpc/yq_v1_pb2_grpc.py
gridnevvvit/ydb-python-sdk
952f7b4f179595b07711934691d2e15643929cc5
[ "Apache-2.0" ]
2
2022-02-03T14:58:56.000Z
2022-02-22T19:42:59.000Z
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from ydb.public.api.protos import yq_pb2 as ydb_dot_public_dot_api_dot_protos_dot_yq__pb2 class YandexQueryServiceStub(object): """Missing associated docum...
51.382275
143
0.693886
3,831
38,845
6.589402
0.058209
0.025353
0.060371
0.075463
0.854342
0.852401
0.807439
0.770916
0.764182
0.759666
0
0.005807
0.241962
38,845
755
144
51.450331
0.851491
0.04675
0
0.523364
1
0
0.089661
0.055885
0
0
0
0
0
1
0.068536
false
0
0.003115
0.03271
0.109034
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
7ac0002fe81ccf30bcaee2e5b697a14b5180fbd7
11,755
py
Python
modules/webpage_generation.py
last-genius/homeworks_project
759ba35003faf5888d84a8480db31d8875dda30f
[ "MIT" ]
null
null
null
modules/webpage_generation.py
last-genius/homeworks_project
759ba35003faf5888d84a8480db31d8875dda30f
[ "MIT" ]
3
2020-04-06T15:31:08.000Z
2020-05-13T06:49:15.000Z
modules/webpage_generation.py
LastGenius-edu/homeworks_project
759ba35003faf5888d84a8480db31d8875dda30f
[ "MIT" ]
3
2020-05-19T19:37:09.000Z
2020-05-19T21:54:29.000Z
def book_page(title, wordcolor): """ Generates a webpage for the book. Compatible with flask template system """ return f""" <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{{{ url_for('static', filename='css/style.css') }}}}"> ...
37.31746
144
0.408252
1,057
11,755
4.498581
0.124882
0.029443
0.053838
0.058885
0.815352
0.77939
0.765931
0.746583
0.739432
0.739432
0
0.018419
0.431901
11,755
314
145
37.436306
0.693621
0.03054
0
0.754717
1
0.086792
0.875487
0.123982
0
0
0
0
0
1
0.018868
false
0
0
0
0.037736
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
1
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
8f25758456f51f5a93a9a071662bd3ea80ae6524
22,930
py
Python
tests/test_vector_jacobian_product.py
PennyLaneAI/pennylane-lightning
772bf0e0a15103b46f651266212ce3178aaa9321
[ "Apache-2.0" ]
29
2020-08-12T15:05:27.000Z
2022-03-11T15:49:58.000Z
tests/test_vector_jacobian_product.py
PennyLaneAI/pennylane-lightning
772bf0e0a15103b46f651266212ce3178aaa9321
[ "Apache-2.0" ]
238
2020-08-12T15:04:28.000Z
2022-03-30T14:35:35.000Z
tests/test_vector_jacobian_product.py
PennyLaneAI/pennylane-lightning
772bf0e0a15103b46f651266212ce3178aaa9321
[ "Apache-2.0" ]
13
2020-10-14T14:59:29.000Z
2022-03-23T08:53:17.000Z
# Copyright 2018-2021 Xanadu Quantum Technologies Inc. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or...
33.920118
100
0.58635
3,264
22,930
4.033395
0.084252
0.033726
0.030763
0.026662
0.851272
0.843449
0.824763
0.820053
0.814432
0.8079
0
0.050232
0.26812
22,930
675
101
33.97037
0.734239
0.095552
0
0.808036
0
0
0.038886
0
0
0
0
0
0.098214
1
0.069196
false
0
0.013393
0.006696
0.095982
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
8f52a1dc1d8b8c1c594b04ab0d0afa0fe316132b
13,544
py
Python
tests/rule_engine/normalisation_rule.py
cnorthwood/ternip
9bdca293585d97206ed1d0bc250789582645d885
[ "Apache-2.0" ]
54
2015-01-08T14:45:00.000Z
2021-11-06T03:32:51.000Z
tests/rule_engine/normalisation_rule.py
cnorthwood/ternip
9bdca293585d97206ed1d0bc250789582645d885
[ "Apache-2.0" ]
4
2015-03-23T00:31:39.000Z
2016-01-27T20:41:32.000Z
tests/rule_engine/normalisation_rule.py
cnorthwood/ternip
9bdca293585d97206ed1d0bc250789582645d885
[ "Apache-2.0" ]
14
2015-03-23T00:21:28.000Z
2020-01-20T16:45:29.000Z
#!/usr/bin/env python import unittest from ternip.timex import Timex from ternip.rule_engine.normalisation_rule import NormalisationRule class normalisation_rule_Test(unittest.TestCase): def testApplyValue(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', ...
46.068027
168
0.378913
1,269
13,544
4.033885
0.063042
0.201602
0.038289
0.096503
0.81891
0.81891
0.813245
0.804649
0.798593
0.794882
0
0.031233
0.333358
13,544
294
169
46.068027
0.535718
0.001477
0
0.738971
0
0
0.224926
0.06054
0
0
0
0
0.113971
1
0.069853
false
0
0.011029
0
0.084559
0
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
8f64f7e75d6bf57f2450ffb543809c4e1a4df086
1,634
py
Python
tests/pipeline/test_detect_faces.py
dregula/image-processing-pipeline
7df1963247caa01b503980fe152138b88df6c526
[ "MIT" ]
45
2019-10-24T17:20:04.000Z
2022-02-21T16:29:15.000Z
tests/pipeline/test_detect_faces.py
XiaohangShi/image-processing-pipeline
7df1963247caa01b503980fe152138b88df6c526
[ "MIT" ]
2
2020-08-02T05:24:14.000Z
2020-09-25T05:31:08.000Z
tests/pipeline/test_detect_faces.py
XiaohangShi/image-processing-pipeline
7df1963247caa01b503980fe152138b88df6c526
[ "MIT" ]
16
2019-10-24T17:20:11.000Z
2021-11-30T05:59:04.000Z
import os from pipeline.capture_images import CaptureImages from pipeline.detect_faces import DetectFaces import tests.config as config class TestDetectFaces: def test_detect_faces(self): capture_images = CaptureImages(os.path.join(config.ASSETS_IMAGES_DIR, "friends")) prototxt = os.path.join(con...
32.68
105
0.664015
194
1,634
5.381443
0.226804
0.068966
0.099617
0.16092
0.818008
0.818008
0.818008
0.818008
0.818008
0.818008
0
0.023144
0.23317
1,634
49
106
33.346939
0.810056
0
0
0.742857
0
0
0.105263
0.04896
0
0
0
0
0.228571
1
0.057143
false
0
0.114286
0
0.2
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
56b9fe9cdbb9a17890a1b669ae357754d13b291b
7,971
py
Python
tests/utils/boolrule/test_boolrule.py
DomineCore/bamboo-engine
fb4583e70f9e1e87d9d48c2393db8d8104306f37
[ "MIT" ]
55
2021-09-07T11:50:35.000Z
2022-03-23T13:19:38.000Z
tests/utils/boolrule/test_boolrule.py
DomineCore/bamboo-engine
fb4583e70f9e1e87d9d48c2393db8d8104306f37
[ "MIT" ]
64
2021-09-07T12:04:12.000Z
2022-03-29T03:47:18.000Z
tests/utils/boolrule/test_boolrule.py
DomineCore/bamboo-engine
fb4583e70f9e1e87d9d48c2393db8d8104306f37
[ "MIT" ]
20
2021-09-07T11:52:08.000Z
2022-03-28T08:05:22.000Z
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in co...
37.957143
115
0.554008
1,080
7,971
4.066667
0.113889
0.34745
0.266393
0.175319
0.79622
0.745674
0.729053
0.689891
0.650273
0.643443
0
0.047079
0.2139
7,971
209
116
38.138756
0.653846
0.114917
0
0.197183
0
0.077465
0.261005
0
0
0
0
0
0.746479
1
0.105634
false
0
0.007042
0
0.112676
0
0
0
0
null
1
1
1
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
56f3330aedf13b215fcf781e6e069d4dfcfc0730
174
py
Python
CCC/CCC_12_J3_Icon_Scaling.py
Togohogo1/pg
ee3c36acde47769c66ee13a227762ee677591375
[ "MIT" ]
null
null
null
CCC/CCC_12_J3_Icon_Scaling.py
Togohogo1/pg
ee3c36acde47769c66ee13a227762ee677591375
[ "MIT" ]
1
2021-10-14T18:26:56.000Z
2021-10-14T18:26:56.000Z
CCC/CCC_12_J3_Icon_Scaling.py
Togohogo1/pg
ee3c36acde47769c66ee13a227762ee677591375
[ "MIT" ]
1
2021-08-06T03:39:55.000Z
2021-08-06T03:39:55.000Z
k = int(input()) for i in range(k): print("*"*k + "x"*k + "*"*k) for i in range(k): print(" "*k + "x"*k + "x"*k) for i in range(k): print("*"*k + " "*k + "*"*k)
19.333333
32
0.413793
33
174
2.181818
0.272727
0.166667
0.25
0.458333
0.833333
0.833333
0.833333
0.833333
0.555556
0
0
0
0.258621
174
8
33
21.75
0.55814
0
0
0.428571
0
0
0.051724
0
0
0
0
0
0
1
0
false
0
0
0
0
0.428571
0
0
0
null
0
1
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
8
56f70627e722f524a50c5ea86da51d95af84570a
242
py
Python
kiqpo/core/Navigate.py
bionic-py/Bionic
a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4
[ "MIT" ]
9
2021-10-31T03:38:16.000Z
2021-12-17T00:03:36.000Z
kiqpo/core/Navigate.py
bionic-py/Bionic
a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4
[ "MIT" ]
12
2021-11-11T14:18:09.000Z
2021-12-03T14:00:25.000Z
kiqpo/core/Navigate.py
kiqpo/kiqpo
a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4
[ "MIT" ]
3
2022-03-03T18:30:53.000Z
2022-03-09T13:29:39.000Z
def navigate(path,windowRender,title,windowClassName): return f"""<div class='Navigate-kiqpo' > <a onclick="Navigate{path,windowRender,title,windowClassName}" href='{path}' id='Navigate'>{title}</a> </div>"""
40.333333
118
0.636364
26
242
5.923077
0.576923
0.155844
0.311688
0.376623
0.571429
0
0
0
0
0
0
0
0.181818
242
5
119
48.4
0.777778
0
0
0
0
0.25
0.690083
0.438017
0
0
0
0
0
1
0.25
false
0
0
0.25
0.5
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
1
1
1
null
0
0
0
0
0
1
0
0
0
1
0
0
0
9
7130cb1db445319eaf85f57edd058266feee5a55
4,452
py
Python
tests/bfuck/test_interpreter.py
JavierLuna/esolangs
a1da280f42cef910745c0dd1f89da7454ddb03ad
[ "MIT" ]
null
null
null
tests/bfuck/test_interpreter.py
JavierLuna/esolangs
a1da280f42cef910745c0dd1f89da7454ddb03ad
[ "MIT" ]
null
null
null
tests/bfuck/test_interpreter.py
JavierLuna/esolangs
a1da280f42cef910745c0dd1f89da7454ddb03ad
[ "MIT" ]
null
null
null
import unittest from io import StringIO from unittest.mock import patch from interpreters import BrainFuckInterpreter class TestBFInterpreterUnitary(unittest.TestCase): def test_ast_caching_no_execution(self): interpreter = BrainFuckInterpreter("-.-.-.-.-.-.-.-") self.assertIsNotNone(interpreter...
39.052632
83
0.680818
440
4,452
6.563636
0.15
0.090374
0.131579
0.121884
0.83795
0.816136
0.793629
0.777008
0.725762
0.706025
0
0.001397
0.195867
4,452
113
84
39.39823
0.805307
0
0
0.652632
0
0
0.048518
0.024933
0.010526
0
0
0
0.442105
1
0.094737
false
0
0.042105
0
0.157895
0.021053
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
856bcda1ce8e8ae52422d377a86ada697d23a73b
212
py
Python
main/online/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
null
null
null
main/online/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
null
null
null
main/online/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
1
2021-12-06T21:36:28.000Z
2021-12-06T21:36:28.000Z
from django.contrib import admin from .models import Room, RoomMember, OnlineRanking, Word admin.site.register(Room) admin.site.register(RoomMember) admin.site.register(Word) admin.site.register(OnlineRanking)
23.555556
57
0.820755
28
212
6.214286
0.428571
0.206897
0.390805
0.241379
0
0
0
0
0
0
0
0
0.080189
212
8
58
26.5
0.892308
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
8587059822ec510943db50c4450d0319055d99c9
66
py
Python
topsis_101883048_HarnoorSandhu/__init__.py
sharnoor404/topsis_101883048_HarnoorSandhu
577494c18ca0245ad2c8c3e71d6585b2e7a63246
[ "MIT" ]
null
null
null
topsis_101883048_HarnoorSandhu/__init__.py
sharnoor404/topsis_101883048_HarnoorSandhu
577494c18ca0245ad2c8c3e71d6585b2e7a63246
[ "MIT" ]
null
null
null
topsis_101883048_HarnoorSandhu/__init__.py
sharnoor404/topsis_101883048_HarnoorSandhu
577494c18ca0245ad2c8c3e71d6585b2e7a63246
[ "MIT" ]
null
null
null
from topsis_101883048_HarnoorSandhu.topsis_101883048 import topsis
66
66
0.939394
8
66
7.375
0.625
0.508475
0
0
0
0
0
0
0
0
0
0.285714
0.045455
66
1
66
66
0.650794
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
0
0
0
0
0
0
0
0
0
1
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
858ffa7e7ba4e6f61e1fd04e88c69fa0ea3f6445
27
py
Python
addons/auto_generate_product_sku/wizard/__init__.py
marionumza/vocal_v12
480990e919c9410903e06e7813ee92800bd6a569
[ "Unlicense" ]
null
null
null
addons/auto_generate_product_sku/wizard/__init__.py
marionumza/vocal_v12
480990e919c9410903e06e7813ee92800bd6a569
[ "Unlicense" ]
null
null
null
addons/auto_generate_product_sku/wizard/__init__.py
marionumza/vocal_v12
480990e919c9410903e06e7813ee92800bd6a569
[ "Unlicense" ]
1
2021-05-05T07:59:08.000Z
2021-05-05T07:59:08.000Z
from . import generate_sku
13.5
26
0.814815
4
27
5.25
1
0
0
0
0
0
0
0
0
0
0
0
0.148148
27
1
27
27
0.913043
0
0
0
1
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
a413586bc8593f912b6806681b78dddc2358c086
96
py
Python
main.py
antoniofdias/lullaby
04a6fa106cac4e0a6e5bd53e473325afdbbbf129
[ "MIT" ]
null
null
null
main.py
antoniofdias/lullaby
04a6fa106cac4e0a6e5bd53e473325afdbbbf129
[ "MIT" ]
null
null
null
main.py
antoniofdias/lullaby
04a6fa106cac4e0a6e5bd53e473325afdbbbf129
[ "MIT" ]
null
null
null
import detect_closed_eyes import mqtt_client detect_closed_eyes.detect_eyes(mqtt_client.client)
24
50
0.90625
15
96
5.333333
0.4
0.3
0.4
0
0
0
0
0
0
0
0
0
0.052083
96
4
50
24
0.879121
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
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
a41a419fc83250c724e38f2ca0e34eb7f3e04218
770
py
Python
py/lightControl.py
leeleavitt/autoGrow
b4454c0a00aed8111a86d72a667df49a7d285ce4
[ "MIT" ]
1
2020-02-09T23:17:58.000Z
2020-02-09T23:17:58.000Z
py/lightControl.py
leeleavitt/autoGrow
b4454c0a00aed8111a86d72a667df49a7d285ce4
[ "MIT" ]
1
2020-01-26T15:27:57.000Z
2020-01-26T15:27:57.000Z
py/lightControl.py
leeleavitt/autoGrow
b4454c0a00aed8111a86d72a667df49a7d285ce4
[ "MIT" ]
null
null
null
import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setup(17, GPIO.OUT, initial=GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(...
17.906977
42
0.72987
149
770
3.771812
0.114094
0.181495
0.284698
0.398577
0.852313
0.852313
0.852313
0.852313
0.852313
0.852313
0
0.070822
0.083117
770
43
43
17.906977
0.725212
0
0
0.864865
0
0
0
0
0
0
0
0
0
1
0
true
0
0.054054
0
0.054054
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
1
0
0
0
0
0
0
10
a45a38de655a407697923d0c47aa1c91de7f7bbd
112,642
py
Python
tests/unit/test_service.py
SofyaTavrovskaya/xrally-kubernetes
302e8850affc4310ce99795d8ec65443fc582055
[ "Apache-2.0" ]
null
null
null
tests/unit/test_service.py
SofyaTavrovskaya/xrally-kubernetes
302e8850affc4310ce99795d8ec65443fc582055
[ "Apache-2.0" ]
null
null
null
tests/unit/test_service.py
SofyaTavrovskaya/xrally-kubernetes
302e8850affc4310ce99795d8ec65443fc582055
[ "Apache-2.0" ]
1
2020-01-23T20:09:35.000Z
2020-01-23T20:09:35.000Z
# All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
31.429129
79
0.539772
10,919
112,642
5.237568
0.03297
0.07414
0.079316
0.092046
0.922852
0.904387
0.894927
0.881183
0.86431
0.853119
0
0.008947
0.361961
112,642
3,583
80
31.437901
0.786782
0.005673
0
0.715883
0
0
0.075715
0.002813
0
0
0
0
0.092404
1
0.044064
false
0
0.00855
0
0.057218
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
a476187de8a25db101ee0be5fcb11aa9f744284b
2,496
py
Python
spider/consts.py
sppsun/spider
b5fb7fbd16df3960a5e12204db2ef1644fb3e882
[ "MIT" ]
1
2020-01-10T19:24:48.000Z
2020-01-10T19:24:48.000Z
spider/consts.py
sunnypandas/spider
b5fb7fbd16df3960a5e12204db2ef1644fb3e882
[ "MIT" ]
1
2019-05-29T06:30:09.000Z
2019-05-29T06:30:09.000Z
spider/consts.py
sppsun/spider
b5fb7fbd16df3960a5e12204db2ef1644fb3e882
[ "MIT" ]
3
2019-12-20T06:20:26.000Z
2020-03-01T18:41:23.000Z
MYSQL_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spider.pipelines.MySqlPipeline': 100, } DB2_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spider.pipelines.DB2Pipeline': 100, } MONGODB_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spi...
36.705882
82
0.777644
227
2,496
8.352423
0.237885
0.047468
0.117089
0.126582
0.7173
0.7173
0.7173
0.7173
0.7173
0.616034
0
0.03341
0.124599
2,496
68
83
36.705882
0.834325
0.187099
0
0.340909
0
0
0.619166
0.619166
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
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
a4938beefd2810ec18a7b3f758667dbbb79225e8
14,236
py
Python
devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py
Jam-cpu/Masters-Project---Final
0b266b1f117a579b96507249f0a128d0e3cc082a
[ "BSD-3-Clause-Clear" ]
null
null
null
devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py
Jam-cpu/Masters-Project---Final
0b266b1f117a579b96507249f0a128d0e3cc082a
[ "BSD-3-Clause-Clear" ]
null
null
null
devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py
Jam-cpu/Masters-Project---Final
0b266b1f117a579b96507249f0a128d0e3cc082a
[ "BSD-3-Clause-Clear" ]
null
null
null
# This Python file uses the following encoding: utf-8 """autogenerated by genpy from robotnik_msgs/MotorStatus.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class MotorStatus(genpy.Message): _md5sum = "bee7a4674a1d69703bedee2437db3d...
33.654846
183
0.601573
1,778
14,236
4.693476
0.101237
0.086279
0.068544
0.04985
0.738646
0.732175
0.719233
0.719233
0.709886
0.697663
0
0.018469
0.265945
14,236
422
184
33.734597
0.780096
0.096937
0
0.847594
1
0
0.073386
0.004488
0
0
0.000787
0
0
1
0.02139
false
0
0.010695
0
0.064171
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8efd10a652f705932eab758fb95d3be3f9ff1085
53,205
py
Python
tests/integrations/conftest.py
aimakerspace/Synergos
ce972f6b031535e82be6724f42118c33f90e9189
[ "Apache-2.0" ]
null
null
null
tests/integrations/conftest.py
aimakerspace/Synergos
ce972f6b031535e82be6724f42118c33f90e9189
[ "Apache-2.0" ]
null
null
null
tests/integrations/conftest.py
aimakerspace/Synergos
ce972f6b031535e82be6724f42118c33f90e9189
[ "Apache-2.0" ]
3
2021-11-25T03:26:52.000Z
2022-01-24T09:48:37.000Z
#!/usr/bin/env python #################### # Required Modules # #################### # Generic/Built-in import logging import pytest # Libs # Custom from synergos import ( ProjectTask, ExperimentTask, RunTask, ParticipantTask, RegistrationTask, TagTask, AlignmentTask, ModelTask, ...
28.853037
84
0.45554
5,107
53,205
4.315058
0.040533
0.025593
0.02396
0.026138
0.965059
0.954123
0.939148
0.866996
0.866996
0.859237
0
0.054176
0.415074
53,205
1,844
85
28.853037
0.653931
0.02902
0
0.72641
0
0
0.208006
0.037801
0
0
0
0
0
1
0.004748
false
0
0.00178
0.000593
0.011276
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
8effe90420e39471270411e11ae20dd0b6334f29
3,250
py
Python
src/python/LuisaCompute/_internal/type.py
Mike-Leo-Smith/LuisaCompute
232c0039bffb743d3bb5dfffc40d37a39dcd7570
[ "BSD-3-Clause" ]
31
2020-11-21T08:16:53.000Z
2021-09-05T13:46:32.000Z
src/python/LuisaCompute/_internal/type.py
Mike-Leo-Smith/LuisaCompute
232c0039bffb743d3bb5dfffc40d37a39dcd7570
[ "BSD-3-Clause" ]
1
2021-03-08T04:15:26.000Z
2021-03-19T04:40:02.000Z
src/python/LuisaCompute/_internal/type.py
Mike-Leo-Smith/LuisaCompute
232c0039bffb743d3bb5dfffc40d37a39dcd7570
[ "BSD-3-Clause" ]
4
2020-12-02T09:41:22.000Z
2021-03-06T06:36:40.000Z
from ctypes import c_void_p, c_char_p, c_int, c_int32, c_uint32, c_int64, c_uint64, c_size_t from .config import dll dll.luisa_compute_type_from_description.restype = c_void_p dll.luisa_compute_type_from_description.argtypes = [c_char_p] def type_from_description(desc): return dll.luisa_compute_type_from_descri...
23.381295
92
0.823077
565
3,250
4.217699
0.077876
0.171213
0.321024
0.40663
0.885439
0.82543
0.492237
0.214855
0
0
0
0.002731
0.098769
3,250
138
93
23.550725
0.810857
0
0
0
0
0
0
0
0
0
0
0
0
1
0.242857
false
0
0.028571
0.242857
0.514286
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
1
0
0
0
1
1
0
0
7
2d014bbef7ca6dd6b56aa6e3bda509c329fe6f88
20,768
py
Python
python_src/util_BinClass.py
kaitu02/StochasticProximalMethods
b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb
[ "BSD-3-Clause" ]
null
null
null
python_src/util_BinClass.py
kaitu02/StochasticProximalMethods
b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb
[ "BSD-3-Clause" ]
null
null
null
python_src/util_BinClass.py
kaitu02/StochasticProximalMethods
b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb
[ "BSD-3-Clause" ]
1
2021-01-08T01:48:07.000Z
2021-01-08T01:48:07.000Z
"""!@package util_BinClass Useful functions for binary classification with non-convex loss example. \f$\min_{w\in\mathbb{R}^d}\left\{ F(w) := \frac{1}{n}\sum_{i=1}^n\ell(a_i^{\top}w, b_i) + \lambda\|w\|_1\right\} \f$ The package contains differnt functions to evaluate objective value, gradient as well as proximal op...
27.87651
233
0.637712
3,500
20,768
3.652571
0.066286
0.012203
0.047559
0.019712
0.903473
0.893539
0.883761
0.869133
0.858182
0.845275
0
0.031993
0.196312
20,768
744
234
27.913978
0.733928
0.419732
0
0.768707
0
0
0
0
0
0
0
0
0
1
0.040816
false
0
0.013605
0
0.136054
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
2d167c74f6c67998d0791608c1e406c16b715f4f
5,116
py
Python
Other/setDimensions.py
protimient/Glyphs-Scripts
0481ea01153844667cff8cfa3fad97c33af09956
[ "Apache-2.0" ]
2
2021-02-12T20:36:29.000Z
2021-11-03T08:04:01.000Z
Other/setDimensions.py
protimient/Glyphs-Scripts
0481ea01153844667cff8cfa3fad97c33af09956
[ "Apache-2.0" ]
null
null
null
Other/setDimensions.py
protimient/Glyphs-Scripts
0481ea01153844667cff8cfa3fad97c33af09956
[ "Apache-2.0" ]
null
null
null
# MenuTitle: Set Dimensions # -*- coding: utf-8 -*- __doc__ = """ Sets the Latin values for each master in the Dimesions pallette in the top right. """ Glyphs.clearLog() # Glyphs.showMacroWindow() class getMeasurements: def __init__(self, m): self.m = m if Glyphs.font.userData["GSDimensionPlugin....
42.991597
113
0.617279
707
5,116
4.407355
0.123055
0.056162
0.058408
0.224647
0.854621
0.841142
0.810976
0.77792
0.741977
0.686457
0
0.023313
0.211884
5,116
118
114
43.355932
0.749504
0.014073
0
0.44898
0
0
0.154563
0.111111
0
0
0
0
0
1
0.112245
false
0
0
0
0.204082
0.010204
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
2d208c7b0715fa7e15cedbd1958336d6a88c7e6d
280
py
Python
ros_package/setup.py
Tobias-Fischer/code_templates
c3e454515dba2b2a5fd3e27dadca5e617230d8df
[ "BSD-3-Clause" ]
1
2021-04-20T22:28:14.000Z
2021-04-20T22:28:14.000Z
ros_package/setup.py
Tobias-Fischer/code_templates
c3e454515dba2b2a5fd3e27dadca5e617230d8df
[ "BSD-3-Clause" ]
15
2021-04-19T22:34:37.000Z
2022-02-10T12:26:33.000Z
ros_package/setup.py
Tobias-Fischer/code_templates
c3e454515dba2b2a5fd3e27dadca5e617230d8df
[ "BSD-3-Clause" ]
1
2022-02-10T04:24:47.000Z
2022-02-10T04:24:47.000Z
from distutils.core import setup from catkin_pkg.python_setup import generate_distutils_setup setup(**generate_distutils_setup(packages=['PACKAGE_NAME'], scripts=['scripts/ADD_PY_NODE'], package_dir={'': 'src'}))
40
65
0.614286
29
280
5.586207
0.62069
0.209877
0.271605
0
0
0
0
0
0
0
0
0
0.282143
280
6
66
46.666667
0.80597
0
0
0
1
0
0.121429
0
0
0
0
0
0
1
0
true
0
0.4
0
0.4
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
77bdb7afb378a5d4719bccadddc8d06741d20c3c
22,917
py
Python
tb_rest_client/api/api_pe/solution_controller_api.py
samson0v/python_tb_rest_client
08ff7898740f7cec2170e85d5c3c89e222e967f7
[ "Apache-2.0" ]
30
2020-06-19T06:42:50.000Z
2021-08-23T21:16:36.000Z
tb_rest_client/api/api_pe/solution_controller_api.py
samson0v/python_tb_rest_client
08ff7898740f7cec2170e85d5c3c89e222e967f7
[ "Apache-2.0" ]
25
2021-08-30T01:17:27.000Z
2022-03-16T14:10:14.000Z
tb_rest_client/api/api_pe/solution_controller_api.py
samson0v/python_tb_rest_client
08ff7898740f7cec2170e85d5c3c89e222e967f7
[ "Apache-2.0" ]
23
2020-07-06T13:41:54.000Z
2021-08-23T21:04:50.000Z
# coding: utf-8 """ ThingsBoard REST API ThingsBoard Professional Edition IoT platform REST API documentation. # noqa: E501 OpenAPI spec version: 3.3.3PAAS-RC1 Contact: info@thingsboard.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_impo...
45.742515
186
0.660514
2,637
22,917
5.459613
0.075085
0.138918
0.085018
0.025005
0.952768
0.943322
0.934917
0.925887
0.921164
0.911857
0
0.022741
0.261247
22,917
500
187
45.834
0.827643
0.39198
0
0.795455
0
0
0.214419
0.08876
0
0
0
0
0
1
0.041667
false
0
0.015152
0
0.117424
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
77de934815d0230519633429fb72dcdfd66e189b
8,181
py
Python
eeghdf/convert.py
aragorn/eeg-hdfstorage
bfc2048a3cc6e941353eec43840b5086c4f115cf
[ "BSD-3-Clause" ]
null
null
null
eeghdf/convert.py
aragorn/eeg-hdfstorage
bfc2048a3cc6e941353eec43840b5086c4f115cf
[ "BSD-3-Clause" ]
null
null
null
eeghdf/convert.py
aragorn/eeg-hdfstorage
bfc2048a3cc6e941353eec43840b5086c4f115cf
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- import mne # TODO !!!: # def hdf2edf(hf) # so can reverse process def sechdf1020_to_mne(hf): """@hf is an eeghdf Eeghdf object opened on a file from the stanford EEG corpus for a scalp EEG using the 10-20 system""" # start to make this into a function # find useful_chan...
28.307958
80
0.597971
1,093
8,181
4.383349
0.230558
0.052599
0.047589
0.016698
0.830724
0.812983
0.806721
0.79378
0.79378
0.79378
0
0.018628
0.297885
8,181
288
81
28.40625
0.81546
0.409974
0
0.813008
0
0
0.065348
0
0
0
0
0.010417
0
1
0.03252
false
0.01626
0.00813
0
0.203252
0.097561
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
1
0
0
0
0
0
0
0
0
0
0
8
7ae2801cbad727d971af4b1f8964418899ae580e
10,558
py
Python
Pycraft/DisplayUtils.py
demirdogukan/InsiderPycraft
5567107326fbd222a7df6aabf4ab265e0a157636
[ "MIT" ]
22
2021-03-25T17:47:45.000Z
2022-03-29T01:56:12.000Z
Pycraft/DisplayUtils.py
demirdogukan/InsiderPycraft
5567107326fbd222a7df6aabf4ab265e0a157636
[ "MIT" ]
1
2021-12-22T16:12:59.000Z
2021-12-22T16:12:59.000Z
Pycraft/DisplayUtils.py
demirdogukan/InsiderPycraft
5567107326fbd222a7df6aabf4ab265e0a157636
[ "MIT" ]
3
2021-09-05T14:10:05.000Z
2022-01-10T12:57:34.000Z
if not __name__ == "__main__": print("Started <Pycraft_DisplayUtils>") class DisplayUtils: def __init__(self): pass def UpdateDisplay(self): # Run tests to make sure windows not too small self.Data_aFPS = [] self.Data...
50.516746
213
0.557492
1,088
10,558
5.032169
0.136949
0.13169
0.197078
0.127854
0.814429
0.806027
0.791781
0.791781
0.78484
0.773516
0
0.011259
0.352245
10,558
209
214
50.516746
0.789297
0.004167
0
0.78022
0
0
0.04852
0.031635
0
0
0
0
0
1
0.043956
false
0.005495
0.010989
0
0.126374
0.010989
0
0
0
null
0
1
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
bb507127334af2651fbbedf3b62a999642fc7fd6
169
py
Python
python/lsst/obs/vista/__init__.py
raphaelshirley/obs_vista
69457409dcbeb856c174e4233d2dd5419602b93f
[ "Apache-2.0" ]
1
2020-07-16T16:20:00.000Z
2020-07-16T16:20:00.000Z
python/lsst/obs/vista/__init__.py
raphaelshirley/obs_vista
69457409dcbeb856c174e4233d2dd5419602b93f
[ "Apache-2.0" ]
1
2020-07-16T10:17:07.000Z
2020-07-20T15:30:49.000Z
python/lsst/obs/vista/__init__.py
raphaelshirley/obs_vista
69457409dcbeb856c174e4233d2dd5419602b93f
[ "Apache-2.0" ]
1
2021-06-07T10:09:03.000Z
2021-06-07T10:09:03.000Z
from ._instrument import * from .vircamMapper import * from .makeVircamRawVisitInfo import * from ._instrument import * from .rawFormatter import * from .ingest import *
28.166667
37
0.792899
18
169
7.333333
0.388889
0.378788
0.30303
0.363636
0
0
0
0
0
0
0
0
0.136095
169
6
38
28.166667
0.90411
0
0
0.333333
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