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
6772f47be90751a8ab2cbacfba1c7b99baa2b64a
102
py
Python
caiman/models.py
Rockstreet/usman_min
c15145a444cbc913a1349b69dffc0b8a45e38dbb
[ "MIT" ]
null
null
null
caiman/models.py
Rockstreet/usman_min
c15145a444cbc913a1349b69dffc0b8a45e38dbb
[ "MIT" ]
null
null
null
caiman/models.py
Rockstreet/usman_min
c15145a444cbc913a1349b69dffc0b8a45e38dbb
[ "MIT" ]
null
null
null
from django.db import models from django.utils.translation import ugettext_lazy as _, ugettext
10.2
65
0.784314
14
102
5.571429
0.714286
0.25641
0
0
0
0
0
0
0
0
0
0
0.176471
102
9
66
11.333333
0.928571
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
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
6
679841fb13e9e1b6f465dd6a052897627ff56964
40,992
py
Python
datalabeling/google/cloud/datalabeling_v1beta1/proto/data_labeling_service_pb2_grpc.py
DaveCheez/google-cloud-python
fc03d4d41f13e9d13db7206438163b3a471fdabd
[ "Apache-2.0" ]
2
2021-11-26T07:08:43.000Z
2022-03-07T20:20:04.000Z
datalabeling/google/cloud/datalabeling_v1beta1/proto/data_labeling_service_pb2_grpc.py
DaveCheez/google-cloud-python
fc03d4d41f13e9d13db7206438163b3a471fdabd
[ "Apache-2.0" ]
6
2019-05-27T22:05:58.000Z
2019-08-05T16:46:16.000Z
datalabeling/google/cloud/datalabeling_v1beta1/proto/data_labeling_service_pb2_grpc.py
DaveCheez/google-cloud-python
fc03d4d41f13e9d13db7206438163b3a471fdabd
[ "Apache-2.0" ]
1
2019-03-29T18:26:16.000Z
2019-03-29T18:26:16.000Z
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from google.cloud.datalabeling_v1beta1.proto import ( annotation_spec_set_pb2 as google_dot_cloud_dot_datalabeling__v1beta1_dot_proto_dot_annotation__spec__set__pb2, ) from google.cloud.datalabeling_v1beta1.proto import ( data_la...
63.553488
169
0.782616
4,173
40,992
7.123173
0.064941
0.100353
0.054634
0.066341
0.82947
0.818066
0.813625
0.768646
0.684575
0.680875
0
0.013513
0.158714
40,992
644
170
63.652174
0.848431
0.069965
0
0.360078
1
0
0.12071
0.068671
0
0
0
0
0
1
0.07045
false
0.003914
0.031311
0
0.105675
0
0
0
0
null
0
0
0
1
1
1
1
0
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
6
6798bb647c9031d2653050d76cd3f241dd42a5cd
2,734
py
Python
sdk/python/pulumi_azure_native/batch/__init__.py
polivbr/pulumi-azure-native
09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7
[ "Apache-2.0" ]
null
null
null
sdk/python/pulumi_azure_native/batch/__init__.py
polivbr/pulumi-azure-native
09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7
[ "Apache-2.0" ]
null
null
null
sdk/python/pulumi_azure_native/batch/__init__.py
polivbr/pulumi-azure-native
09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7
[ "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from .. import _utilities import typing # Export this package's modules as members: from ._enums import * from .application import * from .application_...
43.396825
80
0.793343
330
2,734
6.160606
0.206061
0.141663
0.200689
0.27152
0.513527
0.513527
0.242007
0
0
0
0
0.244595
0.137162
2,734
62
81
44.096774
0.617211
0.084492
0
0
1
0
0.168269
0.168269
0
0
0
0
0
1
0
false
0
0.740741
0
0.740741
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
6
679e2250d3e4704bdc0cc067419d5a8f3eb454fa
12,983
py
Python
python-numpy-lists/numpylists.py
tosinayanda/python-starter-kit
9faee168ff82e46b6ef8102ae72ea936fd099961
[ "MIT" ]
null
null
null
python-numpy-lists/numpylists.py
tosinayanda/python-starter-kit
9faee168ff82e46b6ef8102ae72ea936fd099961
[ "MIT" ]
null
null
null
python-numpy-lists/numpylists.py
tosinayanda/python-starter-kit
9faee168ff82e46b6ef8102ae72ea936fd099961
[ "MIT" ]
null
null
null
# import numpy as np #create numpy arrays # #Generate array height=np.round(np.random.normal(1.75,0.20,5000),2) weight=np.round(np.random.normal(60.32,15,5000),2) np_city=np.column_stack((height,weight)) print(np_city.shape) cars=["Toyota","Chevrolet","Ford","Honda","Brabus"] cars_np=np.array(cars) weight=[20.12,2...
177.849315
4,931
0.484942
2,401
12,983
2.61516
0.07122
0.110846
0.165313
0.219143
0.084727
0.062749
0.062749
0.062749
0.062749
0.062749
0
0.5123
0.173381
12,983
73
4,932
177.849315
0.072773
0.028037
0
0.073171
1
0
0.006347
0
0
0
0
0
0
1
0
false
0
0.02439
0
0.02439
0.170732
0
0
0
null
0
0
1
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
67bfb2a09270657736e8e4b32cff8a3a6b09b92a
141
py
Python
src/tsp_c/__init__.py
kjudom/tsp-c
2ed4ba83ac14443533e6167edf20a4199e871657
[ "MIT" ]
null
null
null
src/tsp_c/__init__.py
kjudom/tsp-c
2ed4ba83ac14443533e6167edf20a4199e871657
[ "MIT" ]
null
null
null
src/tsp_c/__init__.py
kjudom/tsp-c
2ed4ba83ac14443533e6167edf20a4199e871657
[ "MIT" ]
null
null
null
from . import _tsp_c from .tsp_c import solve_greedy from .tsp_c import solve_SA from .tsp_c import set_param_SA from .tsp_c import solve_PSO
28.2
31
0.829787
29
141
3.655172
0.344828
0.188679
0.301887
0.528302
0.707547
0
0
0
0
0
0
0
0.134752
141
5
32
28.2
0.868852
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
0
0
0
6
67d3514f1ace46de9127a9a4a21e892c7ad712e0
29,708
py
Python
MAIN_FIGURES.py
tortugar/Schott_etal_2022
5cccec4d59184397df39f0bae3544b9c8294ffe2
[ "MIT" ]
null
null
null
MAIN_FIGURES.py
tortugar/Schott_etal_2022
5cccec4d59184397df39f0bae3544b9c8294ffe2
[ "MIT" ]
null
null
null
MAIN_FIGURES.py
tortugar/Schott_etal_2022
5cccec4d59184397df39f0bae3544b9c8294ffe2
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Oct 10 18:30:46 2021 @author: fearthekraken """ import AS import pwaves import sleepy import pandas as pd #%% ### FIGURE 1C - example EEGs for NREM, IS, and REM ### ppath = '/home/fearthekraken/Documents/Data/photometry' AS.plot_example(ppath, 'ha...
60.752556
150
0.660832
4,499
29,708
4.230051
0.1018
0.014345
0.033945
0.025432
0.826073
0.793547
0.774211
0.750775
0.728863
0.699753
0
0.058142
0.145483
29,708
489
151
60.752556
0.691523
0.131783
0
0.665468
0
0.007194
0.193735
0.096376
0
0
0
0
0
1
0
false
0
0.014388
0
0.014388
0.07554
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
0
0
0
0
0
0
0
0
6
67d3ce8adb8ddc67219cf049efed17f327e1aab1
42
py
Python
bitmovin/services/filters/__init__.py
camberbridge/bitmovin-python
3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95
[ "Unlicense" ]
44
2016-12-12T17:37:23.000Z
2021-03-03T09:48:48.000Z
bitmovin/services/filters/__init__.py
camberbridge/bitmovin-python
3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95
[ "Unlicense" ]
38
2017-01-09T14:45:45.000Z
2022-02-27T18:04:33.000Z
bitmovin/services/filters/__init__.py
camberbridge/bitmovin-python
3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95
[ "Unlicense" ]
27
2017-02-02T22:49:31.000Z
2019-11-21T07:04:57.000Z
from .filter_service import FilterService
21
41
0.880952
5
42
7.2
1
0
0
0
0
0
0
0
0
0
0
0
0.095238
42
1
42
42
0.947368
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
67e4a6a4b62a36140c3ec2606810cde8cf6567ae
8,164
py
Python
src/lambda_router/routers.py
jpaidoussi/lambda-router
c7909e6667f2fc837f34f54ccffcc409e33cebb6
[ "BSD-3-Clause" ]
null
null
null
src/lambda_router/routers.py
jpaidoussi/lambda-router
c7909e6667f2fc837f34f54ccffcc409e33cebb6
[ "BSD-3-Clause" ]
null
null
null
src/lambda_router/routers.py
jpaidoussi/lambda-router
c7909e6667f2fc837f34f54ccffcc409e33cebb6
[ "BSD-3-Clause" ]
1
2021-03-05T06:50:26.000Z
2021-03-05T06:50:26.000Z
import json from typing import Any, Callable, Dict, Optional import attr from .interfaces import Event, Router @attr.s(kw_only=True) class SingleRoute(Router): """ Routes to a single defined route without any conditions. :param route: The single defined route. Only set via ``add_route``. """ ...
32.268775
114
0.614037
1,063
8,164
4.647225
0.125118
0.036437
0.030769
0.025506
0.806478
0.77834
0.760121
0.74919
0.739069
0.739069
0
0
0.289196
8,164
252
115
32.396825
0.851284
0.312837
0
0.638095
0
0
0.103828
0
0
0
0
0
0
1
0.142857
false
0
0.038095
0.019048
0.428571
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
0
0
0
0
0
0
0
0
6
db3369b101ea183c503c1fa561b47c91b9100d56
36
py
Python
deeptrack/extras/__init__.py
Margon01/DeepTrack-2.0_old
f4f4abc89ab1f63aeb4722f84dcfb93189c57ccf
[ "MIT" ]
65
2020-04-29T01:06:01.000Z
2022-03-28T12:44:02.000Z
deeptrack/extras/__init__.py
Margon01/DeepTrack-2.0_old
f4f4abc89ab1f63aeb4722f84dcfb93189c57ccf
[ "MIT" ]
41
2020-04-20T16:09:07.000Z
2022-03-29T15:40:08.000Z
deeptrack/extras/__init__.py
Margon01/DeepTrack-2.0_old
f4f4abc89ab1f63aeb4722f84dcfb93189c57ccf
[ "MIT" ]
31
2020-04-27T18:04:06.000Z
2022-03-18T17:24:50.000Z
from . import datasets, radialcenter
36
36
0.833333
4
36
7.5
1
0
0
0
0
0
0
0
0
0
0
0
0.111111
36
1
36
36
0.9375
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
e1d6a7a8f00c138e84b26623fa12570b059d6d57
244
py
Python
src/masonite/contracts/AuthContract.py
holic-cl/masonite
c5eab7db5f87e389fe83a1f0f20a005035ada9d9
[ "MIT" ]
95
2018-02-22T23:54:00.000Z
2021-04-17T03:39:21.000Z
src/masonite/contracts/AuthContract.py
holic-cl/masonite
c5eab7db5f87e389fe83a1f0f20a005035ada9d9
[ "MIT" ]
840
2018-01-27T04:26:20.000Z
2021-01-24T12:28:58.000Z
src/masonite/contracts/AuthContract.py
holic-cl/masonite
c5eab7db5f87e389fe83a1f0f20a005035ada9d9
[ "MIT" ]
100
2018-02-23T00:19:55.000Z
2020-08-28T07:59:31.000Z
from abc import ABC as Contract, abstractmethod class AuthContract(Contract): @abstractmethod def user(self): pass @abstractmethod def save(self): pass @abstractmethod def delete(self): pass
14.352941
47
0.631148
25
244
6.16
0.56
0.331169
0.285714
0.324675
0
0
0
0
0
0
0
0
0.303279
244
16
48
15.25
0.905882
0
0
0.545455
0
0
0
0
0
0
0
0
0
1
0.272727
false
0.272727
0.090909
0
0.454545
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
6
e1ff64213edb5548904c05273b193883e930a827
150
py
Python
examples/simple_regex/routes/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
examples/simple_regex/routes/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
examples/simple_regex/routes/__init__.py
nekonoshiri/tiny-router
3bb808bcc9f9eb368ee390179dfc5e9d48cf8600
[ "MIT" ]
null
null
null
from ..router import Router from . import create_user, get_user router = Router() router.include(get_user.router) router.include(create_user.router)
21.428571
35
0.8
22
150
5.272727
0.318182
0.258621
0.224138
0.327586
0
0
0
0
0
0
0
0
0.1
150
6
36
25
0.859259
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.4
0
0.4
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
6
c06b4470ee6ba272de73e528bcb01060567707f9
142
py
Python
instanotifier/fetcher/scripts/fetcher.py
chaudbak/instanotifier
d29bc6bd9b7a003403886bfff1376b2c1925cc74
[ "MIT" ]
null
null
null
instanotifier/fetcher/scripts/fetcher.py
chaudbak/instanotifier
d29bc6bd9b7a003403886bfff1376b2c1925cc74
[ "MIT" ]
6
2020-06-06T01:27:17.000Z
2022-02-10T11:20:17.000Z
instanotifier/fetcher/scripts/fetcher.py
chaudbak/instanotifier
d29bc6bd9b7a003403886bfff1376b2c1925cc74
[ "MIT" ]
null
null
null
from instanotifier.fetcher import tests def run(): # is executed when ran with 'manage.py runscript tests' tests.test_rss_fetcher()
20.285714
59
0.739437
20
142
5.15
0.85
0
0
0
0
0
0
0
0
0
0
0
0.183099
142
6
60
23.666667
0.887931
0.373239
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
0
1
0
0
6
2200800f734e84798d40a112ef14379650a7d44d
145
py
Python
tests/test_import.py
GoodManWEN/typehints_checker
36e2b2f27b4c392543972e8e466f8e48dfeff274
[ "MIT" ]
null
null
null
tests/test_import.py
GoodManWEN/typehints_checker
36e2b2f27b4c392543972e8e466f8e48dfeff274
[ "MIT" ]
null
null
null
tests/test_import.py
GoodManWEN/typehints_checker
36e2b2f27b4c392543972e8e466f8e48dfeff274
[ "MIT" ]
null
null
null
import os , sys sys.path.append(os.getcwd()) import pytest from typehints_checker import * @pytest.mark.asyncio async def test_import(): ...
18.125
31
0.737931
21
145
5
0.714286
0.228571
0
0
0
0
0
0
0
0
0
0
0.137931
145
8
32
18.125
0.84
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.571429
0
0.571429
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
22135b653bd172de4f59e045357620ffd83da98a
48
py
Python
echolect/millstone/__init__.py
ryanvolz/echolect
ec2594925f34fdaea69b64e725fccb0c99665a55
[ "BSD-3-Clause" ]
1
2022-03-24T22:48:12.000Z
2022-03-24T22:48:12.000Z
echolect/millstone/__init__.py
scivision/echolect
ec2594925f34fdaea69b64e725fccb0c99665a55
[ "BSD-3-Clause" ]
1
2015-03-25T20:41:24.000Z
2015-03-25T20:41:24.000Z
echolect/millstone/__init__.py
scivision/echolect
ec2594925f34fdaea69b64e725fccb0c99665a55
[ "BSD-3-Clause" ]
null
null
null
from .read_hdf5 import * from .hdf5_api import *
24
24
0.770833
8
48
4.375
0.625
0
0
0
0
0
0
0
0
0
0
0.04878
0.145833
48
2
25
24
0.804878
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
2231aae6662593f94c1874f0078bab296c0ac96f
2,104
py
Python
SGE/src/configs/rng_seeds.py
dabingrosewood/MasterThesisProj
7e40fa2395468a1bccef429362a61ed8515ecc11
[ "MIT" ]
null
null
null
SGE/src/configs/rng_seeds.py
dabingrosewood/MasterThesisProj
7e40fa2395468a1bccef429362a61ed8515ecc11
[ "MIT" ]
null
null
null
SGE/src/configs/rng_seeds.py
dabingrosewood/MasterThesisProj
7e40fa2395468a1bccef429362a61ed8515ecc11
[ "MIT" ]
null
null
null
# CONFIG seeds = [6598903756360202179, 2908409715321502665, 6126375328734039552, 1447957147463681860, 8611858271322161001, 1129180857020570158, 6362222119948958210, 7116573423379052515, 6183551438103583226, 4025455056998962241, 3253052445978017587, 8447055112402476503, 5958072666039141800, 704315598608973559, 127314171...
701.333333
2,094
0.901616
102
2,104
18.598039
1
0
0
0
0
0
0
0
0
0
0
0.943
0.04943
2,104
2
2,095
1,052
0.0055
0.002852
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
225438e5c2b8551e69ccb321df71b6704ae2b4d5
17
py
Python
2.py
modianor/git_project
21d664bfa31d6f3e584ffc594514ea4342b6bc3f
[ "MIT" ]
null
null
null
2.py
modianor/git_project
21d664bfa31d6f3e584ffc594514ea4342b6bc3f
[ "MIT" ]
null
null
null
2.py
modianor/git_project
21d664bfa31d6f3e584ffc594514ea4342b6bc3f
[ "MIT" ]
null
null
null
A = 1 B = 2 C = 4
5.666667
5
0.352941
6
17
1
1
0
0
0
0
0
0
0
0
0
0
0.333333
0.470588
17
3
6
5.666667
0.333333
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
2255fb2ff207d881f927e1b321a4dc62c8ca610a
17
py
Python
src/ixu/commands/server/__init__.py
luanguimaraesla/ixu
f213bdf27fc7336a76110cf3f89e30ae1d5a64fb
[ "Apache-2.0" ]
2
2021-05-14T17:14:09.000Z
2021-06-13T21:35:04.000Z
src/ixu/commands/server/__init__.py
luanguimaraesla/ixu
f213bdf27fc7336a76110cf3f89e30ae1d5a64fb
[ "Apache-2.0" ]
null
null
null
src/ixu/commands/server/__init__.py
luanguimaraesla/ixu
f213bdf27fc7336a76110cf3f89e30ae1d5a64fb
[ "Apache-2.0" ]
null
null
null
from . import up
8.5
16
0.705882
3
17
4
1
0
0
0
0
0
0
0
0
0
0
0
0.235294
17
1
17
17
0.923077
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
97fe866f84f325af30eccf7ed7f76920a2b9b84a
186
py
Python
incapsula/__init__.py
zanachka/incapsula-cracker-py3
be1738d0e649e91de75583b694372bc04547fa85
[ "Unlicense" ]
null
null
null
incapsula/__init__.py
zanachka/incapsula-cracker-py3
be1738d0e649e91de75583b694372bc04547fa85
[ "Unlicense" ]
null
null
null
incapsula/__init__.py
zanachka/incapsula-cracker-py3
be1738d0e649e91de75583b694372bc04547fa85
[ "Unlicense" ]
null
null
null
from .errors import IncapBlocked, MaxRetriesExceeded, RecaptchaBlocked from .parsers import ResourceParser, WebsiteResourceParser, IframeResourceParser from .session import IncapSession
46.5
80
0.876344
16
186
10.1875
0.75
0
0
0
0
0
0
0
0
0
0
0
0.086022
186
3
81
62
0.958824
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
3f01198a019097c1976dc940001aed540d4f3634
713
py
Python
old/dea/aws/__init__.py
robbibt/odc-tools
e2df2c9ef65dbd5652d97cd88617989b4b724814
[ "Apache-2.0" ]
null
null
null
old/dea/aws/__init__.py
robbibt/odc-tools
e2df2c9ef65dbd5652d97cd88617989b4b724814
[ "Apache-2.0" ]
null
null
null
old/dea/aws/__init__.py
robbibt/odc-tools
e2df2c9ef65dbd5652d97cd88617989b4b724814
[ "Apache-2.0" ]
null
null
null
from odc.aws import ( ec2_metadata, ec2_current_region, botocore_default_region, auto_find_region, make_s3_client, s3_url_parse, s3_fmt_range, s3_ls, s3_ls_dir, s3_find, get_boto_session, get_creds_with_retry, s3_fetch, ) from odc.aws._find import ( s3_file_info,...
16.97619
30
0.647966
96
713
4.197917
0.354167
0.039702
0.049628
0.104218
0.903226
0.903226
0.903226
0.739454
0.739454
0.739454
0
0.037313
0.248247
713
41
31
17.390244
0.714552
0
0
0
0
0
0.293128
0.032258
0
0
0
0
0
1
0
false
0
0.052632
0
0.052632
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
0
0
0
0
0
0
0
0
6
3f02d35a7926f58cae17ffac0f474623fde43a2e
37,840
py
Python
pybind/slxos/v17r_2_00/mpls_state/rsvp/igp_sync/link/lsp/__init__.py
extremenetworks/pybind
44c467e71b2b425be63867aba6e6fa28b2cfe7fb
[ "Apache-2.0" ]
null
null
null
pybind/slxos/v17r_2_00/mpls_state/rsvp/igp_sync/link/lsp/__init__.py
extremenetworks/pybind
44c467e71b2b425be63867aba6e6fa28b2cfe7fb
[ "Apache-2.0" ]
null
null
null
pybind/slxos/v17r_2_00/mpls_state/rsvp/igp_sync/link/lsp/__init__.py
extremenetworks/pybind
44c467e71b2b425be63867aba6e6fa28b2cfe7fb
[ "Apache-2.0" ]
1
2021-11-05T22:15:42.000Z
2021-11-05T22:15:42.000Z
from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from d...
66.737213
754
0.742072
5,297
37,840
5.031527
0.039834
0.044274
0.05463
0.035119
0.905561
0.869916
0.847629
0.840687
0.820351
0.815549
0
0.008447
0.130233
37,840
566
755
66.855124
0.801349
0.181554
0
0.507886
0
0.037855
0.365698
0.19831
0
0
0
0
0
1
0.123028
false
0
0.028391
0
0.26183
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
0
0
0
0
0
0
0
0
6
3f15b4889cdf171226bf2916a6b9994712b58560
56,576
py
Python
tests/learning/test_prediction_error_delta_function.py
mihaic/psyneulink
3d2fc3117c82bccc92fc585add330b0f9b35c830
[ "Apache-2.0" ]
null
null
null
tests/learning/test_prediction_error_delta_function.py
mihaic/psyneulink
3d2fc3117c82bccc92fc585add330b0f9b35c830
[ "Apache-2.0" ]
null
null
null
tests/learning/test_prediction_error_delta_function.py
mihaic/psyneulink
3d2fc3117c82bccc92fc585add330b0f9b35c830
[ "Apache-2.0" ]
null
null
null
import numpy as np from psyneulink import PredictionErrorDeltaFunction np.set_printoptions(suppress=True) def test_prediction_error_delta_first_run(): learning_rate = 0.3 stimulus_onset = 41 sample = np.zeros(60) sample[stimulus_onset:] = 1 reward_onset = 54 target = np.zeros(60) targe...
72.255428
80
0.352128
7,468
56,576
2.663765
0.108731
0.572262
0.849193
1.119992
0.292967
0.292967
0.292967
0.292967
0.292967
0.292967
0
0.694022
0.513893
56,576
783
81
72.255428
0.029307
0.000689
0
0.406494
0
0
0.000761
0
0
0
0
0
0.001299
1
0.001299
false
0
0.002597
0
0.003896
0.003896
0
0
0
null
1
1
1
0
0
0
0
0
0
0
1
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
6
3f1d2166206051864985cc1f8d2162c4a056737f
13,796
py
Python
flask_demo/main.py
yzj2019/database_learning
a9260799f96010674bb4077180ee45a51481e832
[ "MIT" ]
null
null
null
flask_demo/main.py
yzj2019/database_learning
a9260799f96010674bb4077180ee45a51481e832
[ "MIT" ]
null
null
null
flask_demo/main.py
yzj2019/database_learning
a9260799f96010674bb4077180ee45a51481e832
[ "MIT" ]
null
null
null
# coding=utf-8 import functools from flask import Flask, session from flask import redirect from flask import request, make_response from flask import render_template from flask import url_for from flask_bootstrap import Bootstrap # 数据库处理 from db import * # json import json # 生成一个app app = Flask(__name...
34.318408
101
0.508771
1,424
13,796
4.872191
0.116573
0.051888
0.054771
0.039349
0.75382
0.733641
0.733641
0.717642
0.705967
0.697463
0
0.004628
0.342201
13,796
402
102
34.318408
0.75989
0.06183
0
0.706271
0
0
0.135356
0.003362
0
0
0
0
0
1
0.042904
false
0.039604
0.029703
0.009901
0.211221
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
3f3831fca3eb8519b2004ca6b866229be692631e
91
py
Python
rh_pathfinding/src/rh_pathfinding/engine/geometry/obstacle/lineFinder/__init__.py
RhinohawkUAV/rh_ros
e13077060bdfcc231adee9731ebfddadcd8d6b4a
[ "MIT" ]
4
2020-05-13T19:34:27.000Z
2021-09-20T09:01:10.000Z
rh_pathfinding/src/rh_pathfinding/engine/geometry/obstacle/lineFinder/__init__.py
RhinohawkUAV/rh_ros
e13077060bdfcc231adee9731ebfddadcd8d6b4a
[ "MIT" ]
null
null
null
rh_pathfinding/src/rh_pathfinding/engine/geometry/obstacle/lineFinder/__init__.py
RhinohawkUAV/rh_ros
e13077060bdfcc231adee9731ebfddadcd8d6b4a
[ "MIT" ]
2
2019-09-14T14:45:09.000Z
2020-11-22T01:46:59.000Z
from linePathSegment import LinePathSegment from lineSegmentFinder import LineSegmentFinder
45.5
47
0.923077
8
91
10.5
0.5
0
0
0
0
0
0
0
0
0
0
0
0.076923
91
2
47
45.5
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
450a8b0c8c6133dd03a986ca11b5d16bc7850c24
9,945
py
Python
test_fast_ndimage.py
grlee77/skimage_accel_demos
96606ca27c8c622733958c01620bc55e616319db
[ "BSD-3-Clause" ]
null
null
null
test_fast_ndimage.py
grlee77/skimage_accel_demos
96606ca27c8c622733958c01620bc55e616319db
[ "BSD-3-Clause" ]
null
null
null
test_fast_ndimage.py
grlee77/skimage_accel_demos
96606ca27c8c622733958c01620bc55e616319db
[ "BSD-3-Clause" ]
null
null
null
import numpy as np from numpy.testing import assert_allclose, run_module_suite from fast_ndimage import ( median_filter, sobel, convolve, correlate, gaussian_filter, gaussian_filter1d, uniform_filter, uniform_filter1d) def test_median_filter(): rtol = atol = 1e-7 shape = (63, 64) rstate = np.rando...
44.2
173
0.627954
1,275
9,945
4.762353
0.079216
0.056324
0.062582
0.081357
0.908267
0.898057
0.876318
0.857543
0.847991
0.811594
0
0.041738
0.2363
9,945
224
174
44.397321
0.757735
0.140774
0
0.682635
0
0
0.06272
0
0
0
0
0.004464
0.11976
1
0.047904
false
0
0.017964
0
0.065868
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
0
0
0
0
0
0
0
0
6
451f9b7ff4174b43f88b83397cc76cc631f10347
148
py
Python
app/captcha/handlers/verify.py
huioo/tornadoWeb
001efbae9815b30d8a0c0b4ba8819cc711b99dc4
[ "Apache-2.0" ]
null
null
null
app/captcha/handlers/verify.py
huioo/tornadoWeb
001efbae9815b30d8a0c0b4ba8819cc711b99dc4
[ "Apache-2.0" ]
null
null
null
app/captcha/handlers/verify.py
huioo/tornadoWeb
001efbae9815b30d8a0c0b4ba8819cc711b99dc4
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- import tornado.web class Handler(tornado.web.RequestHandler): def initialize(self): pass
18.5
42
0.662162
19
148
5.157895
0.894737
0.204082
0
0
0
0
0
0
0
0
0
0.008264
0.182432
148
8
43
18.5
0.801653
0.283784
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0.25
0.25
0
0.75
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
1
0
0
1
0
0
6
18bcc995a7294c17a7102d9ddff9a88a24d958f1
27
py
Python
itsnp/__init__.py
CaffeineDuck/itsnp-discord-bot
73d8fddc282c0fbc3cdaef81eef3efa9dccacfd8
[ "MIT" ]
null
null
null
itsnp/__init__.py
CaffeineDuck/itsnp-discord-bot
73d8fddc282c0fbc3cdaef81eef3efa9dccacfd8
[ "MIT" ]
null
null
null
itsnp/__init__.py
CaffeineDuck/itsnp-discord-bot
73d8fddc282c0fbc3cdaef81eef3efa9dccacfd8
[ "MIT" ]
null
null
null
from .bot import ItsnpBot
13.5
26
0.777778
4
27
5.25
1
0
0
0
0
0
0
0
0
0
0
0
0.185185
27
1
27
27
0.954545
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
18d163664110bd63d5393ef2d5efd9b345f52613
38
py
Python
researchutils/task/__init__.py
yuishihara/researchutils
bb3ec467386d43a1e2282ec6d024216ce4dae841
[ "MIT" ]
1
2018-09-06T00:54:49.000Z
2018-09-06T00:54:49.000Z
researchutils/task/__init__.py
yuishihara/researchutils
bb3ec467386d43a1e2282ec6d024216ce4dae841
[ "MIT" ]
28
2018-08-25T03:54:30.000Z
2018-10-14T12:09:47.000Z
researchutils/task/__init__.py
yuishihara/researchutils
bb3ec467386d43a1e2282ec6d024216ce4dae841
[ "MIT" ]
null
null
null
from researchutils.task import plotter
38
38
0.894737
5
38
6.8
1
0
0
0
0
0
0
0
0
0
0
0
0.078947
38
1
38
38
0.971429
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
e17db1fd4e96affffe66942426ac284e73e8b345
10,463
py
Python
tests/base/test_endpoints_authentication.py
rapydo/http-api
ef0a299173195145303069534d45d446ea4da93a
[ "MIT" ]
8
2018-07-04T09:54:46.000Z
2022-03-17T08:21:06.000Z
tests/base/test_endpoints_authentication.py
rapydo/http-api
ef0a299173195145303069534d45d446ea4da93a
[ "MIT" ]
19
2018-04-18T07:24:55.000Z
2022-03-04T01:03:15.000Z
tests/base/test_endpoints_authentication.py
rapydo/http-api
ef0a299173195145303069534d45d446ea4da93a
[ "MIT" ]
7
2018-07-03T12:17:50.000Z
2021-05-05T04:33:32.000Z
from restapi.connectors import Connector from restapi.env import Env from restapi.services.authentication import BaseAuthentication, Role from restapi.tests import API_URI, BaseTests, FlaskClient from restapi.utilities.logs import log class TestApp(BaseTests): def test_no_auth(self, client: FlaskClient) -> None: ...
35.228956
88
0.60346
1,189
10,463
5.158957
0.105971
0.032279
0.052168
0.057385
0.862406
0.843006
0.841539
0.825888
0.7791
0.684056
0
0.017253
0.29093
10,463
296
89
35.347973
0.809543
0.062793
0
0.666667
0
0
0.192339
0.11716
0
0
0
0
0.342342
1
0.031532
false
0.004505
0.022523
0
0.085586
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
0
0
0
0
0
0
0
0
6
bedcd44ac29b275e927dc09d0e22f32d04f7138a
59
py
Python
pyds/heap/__init__.py
nitinkatyal1314/data-structures
2e7f5b99a6b09cea48f729682d9431b72afbfd7a
[ "MIT" ]
6
2021-04-06T18:14:59.000Z
2021-07-18T03:26:03.000Z
pyds/heap/__init__.py
nitinkatyal1314/data-structures
2e7f5b99a6b09cea48f729682d9431b72afbfd7a
[ "MIT" ]
null
null
null
pyds/heap/__init__.py
nitinkatyal1314/data-structures
2e7f5b99a6b09cea48f729682d9431b72afbfd7a
[ "MIT" ]
null
null
null
from .api import HeapAPI as Heap from .api import HeapType
19.666667
32
0.79661
10
59
4.7
0.7
0.297872
0.553191
0
0
0
0
0
0
0
0
0
0.169492
59
2
33
29.5
0.959184
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
0
0
0
6
beee49868a956aa3196803cdf539676b921996ae
11,496
py
Python
senlin-7.0.0/senlin/tests/unit/api/middleware/test_version_negotiation.py
scottwedge/OpenStack-Stein
7077d1f602031dace92916f14e36b124f474de15
[ "Apache-2.0" ]
null
null
null
senlin-7.0.0/senlin/tests/unit/api/middleware/test_version_negotiation.py
scottwedge/OpenStack-Stein
7077d1f602031dace92916f14e36b124f474de15
[ "Apache-2.0" ]
5
2019-08-14T06:46:03.000Z
2021-12-13T20:01:25.000Z
senlin-7.0.0/senlin/tests/unit/api/middleware/test_version_negotiation.py
scottwedge/OpenStack-Stein
7077d1f602031dace92916f14e36b124f474de15
[ "Apache-2.0" ]
2
2020-03-15T01:24:15.000Z
2020-07-22T20:34:26.000Z
# 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 unde...
40.336842
79
0.673626
1,357
11,496
5.482682
0.134856
0.022581
0.025538
0.084274
0.811559
0.785349
0.763844
0.731317
0.710887
0.66707
0
0.008547
0.216336
11,496
284
80
40.478873
0.817294
0.045668
0
0.63285
0
0
0.112602
0.039055
0
0
0
0
0.202899
1
0.091787
false
0
0.038647
0
0.135266
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
0
0
0
0
0
0
0
0
6
bef5aaf1ff9723ae8680002976dbc5ebda4fccc9
37
py
Python
pp/web/base/tests/test_forjenkins.py
oisinmulvihill/pp-web-base
0be51b1d98c4923e1f4ccbfaea59ae662a8c5cdc
[ "BSD-3-Clause" ]
null
null
null
pp/web/base/tests/test_forjenkins.py
oisinmulvihill/pp-web-base
0be51b1d98c4923e1f4ccbfaea59ae662a8c5cdc
[ "BSD-3-Clause" ]
null
null
null
pp/web/base/tests/test_forjenkins.py
oisinmulvihill/pp-web-base
0be51b1d98c4923e1f4ccbfaea59ae662a8c5cdc
[ "BSD-3-Clause" ]
null
null
null
def test_nonop(): assert 1 == 1
9.25
17
0.567568
6
37
3.333333
0.833333
0
0
0
0
0
0
0
0
0
0
0.076923
0.297297
37
3
18
12.333333
0.692308
0
0
0
0
0
0
0
0
0
0
0
0.5
1
0.5
true
0
0
0
0.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
1
1
0
0
0
0
0
0
6
83363c0ef913ccccece0efe1dc580e5eb1715e0d
239
py
Python
veinmind-backdoor/register.py
Jqqzzz/veinmind-tools
d7d35880efb4f5f5ad4c3f4685f5d0f4ec8e404f
[ "MIT" ]
364
2022-02-09T07:05:00.000Z
2022-03-31T15:12:52.000Z
veinmind-backdoor/register.py
lionkgxu/veinmind-tools
415aae9da5f0e31275ecdf61a2cef088c766d381
[ "MIT" ]
9
2022-03-03T01:02:15.000Z
2022-03-28T03:24:30.000Z
veinmind-backdoor/register.py
lionkgxu/veinmind-tools
415aae9da5f0e31275ecdf61a2cef088c766d381
[ "MIT" ]
62
2022-02-10T09:54:15.000Z
2022-03-31T09:43:00.000Z
class register: plugin_dict = {} plugin_name = [] @classmethod def register(cls, plugin_name): def wrapper(plugin): cls.plugin_dict[plugin_name] = plugin return plugin return wrapper
23.9
49
0.598326
25
239
5.52
0.4
0.217391
0.231884
0.289855
0
0
0
0
0
0
0
0
0.322176
239
10
50
23.9
0.851852
0
0
0
0
0
0
0
0
0
0
0
0
1
0.222222
false
0
0
0
0.777778
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
6
83399c09776772609094ffc2ac08102d789dfc9b
21,383
py
Python
cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py
srcarter3/awips2
37f31f5e88516b9fd576eaa49d43bfb762e1d174
[ "Apache-2.0" ]
null
null
null
cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py
srcarter3/awips2
37f31f5e88516b9fd576eaa49d43bfb762e1d174
[ "Apache-2.0" ]
null
null
null
cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py
srcarter3/awips2
37f31f5e88516b9fd576eaa49d43bfb762e1d174
[ "Apache-2.0" ]
1
2021-10-30T00:03:05.000Z
2021-10-30T00:03:05.000Z
# # # This software was developed and / or modified by Raytheon Company, # pursuant to Contract DG133W-05-CQ-1067 with the US Government. # # U.S. EXPORT CONTROLLED TECHNICAL DATA # This software product contains export-restricted data whose # export/transfer/disclosure is restricted by U.S. law. Dissemination # to ...
41.520388
189
0.533087
2,356
21,383
4.793294
0.11927
0.028779
0.034712
0.05499
0.831843
0.820066
0.7703
0.736385
0.72452
0.720181
0
0.055798
0.240658
21,383
514
190
41.601167
0.639712
0.060328
0
0.603982
0
0.022124
0.540561
0.051686
0
0
0
0
0
1
0.002212
false
0
0.004425
0
0.00885
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
0
0
0
0
0
0
0
0
6
8369920fc0165d90314e66e5b7970c7cffdf56d6
106
py
Python
spark_application/transformations/__init__.py
ketanvatsalya/pyspark_project_template
72f6cc843ce04cbbf15eaf49c2435b7f31366194
[ "MIT" ]
null
null
null
spark_application/transformations/__init__.py
ketanvatsalya/pyspark_project_template
72f6cc843ce04cbbf15eaf49c2435b7f31366194
[ "MIT" ]
null
null
null
spark_application/transformations/__init__.py
ketanvatsalya/pyspark_project_template
72f6cc843ce04cbbf15eaf49c2435b7f31366194
[ "MIT" ]
null
null
null
""" Package to hold the Transformation Classes """ from . import base from . import spend_per_department
15.142857
42
0.764151
14
106
5.642857
0.857143
0.253165
0
0
0
0
0
0
0
0
0
0
0.160377
106
6
43
17.666667
0.88764
0.396226
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
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
6
55e27b739ace5413321cb8d38b36117252a799e4
2,564
py
Python
flow/sequential.py
altosaar/hierarchical-variational-models-physics
611d91e0281664d7d5ba1679bec7adfb3aac41e2
[ "MIT" ]
14
2020-05-10T20:44:49.000Z
2022-01-12T23:06:24.000Z
flow/sequential.py
altosaar/hierarchical-variational-models-physics
611d91e0281664d7d5ba1679bec7adfb3aac41e2
[ "MIT" ]
null
null
null
flow/sequential.py
altosaar/hierarchical-variational-models-physics
611d91e0281664d7d5ba1679bec7adfb3aac41e2
[ "MIT" ]
null
null
null
import torch from torch import nn class FlowSequential(nn.Sequential): """Forward pass with log determinant of the Jacobian.""" def forward(self, input, context=None): total_log_prob = torch.zeros(input.size(0), device=input.device) for block in self._modules.values(): input, log_prob = block(input,...
35.123288
74
0.710608
354
2,564
4.977401
0.166667
0.119183
0.122588
0.064699
0.820091
0.81101
0.803065
0.764472
0.739501
0.739501
0
0.006635
0.177067
2,564
72
75
35.611111
0.828436
0.071373
0
0.62963
0
0
0
0
0
0
0
0
0
1
0.12963
false
0
0.037037
0
0.351852
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
0
0
0
0
0
0
0
0
6
55f43053f0d67231d40b9280a1fec18d43d92658
169
py
Python
src/rlib/debug.py
SOM-st/PySOM
65ef72f44252439b724a7429408dac7f8d1b1d98
[ "MIT" ]
22
2015-10-29T05:11:06.000Z
2022-03-01T11:18:45.000Z
src/rlib/debug.py
smarr/PySOM
65ef72f44252439b724a7429408dac7f8d1b1d98
[ "MIT" ]
16
2021-03-07T22:09:33.000Z
2021-08-24T12:36:15.000Z
src/rlib/debug.py
SOM-st/PySOM
65ef72f44252439b724a7429408dac7f8d1b1d98
[ "MIT" ]
5
2015-01-02T03:51:29.000Z
2020-10-02T07:05:46.000Z
try: from rpython.rlib.debug import make_sure_not_resized # pylint: disable=W except ImportError: "NOT_RPYTHON" def make_sure_not_resized(_): pass
21.125
77
0.715976
23
169
4.913043
0.73913
0.141593
0.19469
0.318584
0
0
0
0
0
0
0
0
0.213018
169
7
78
24.142857
0.849624
0.100592
0
0
0
0
0.073333
0
0
0
0
0
0
1
0.166667
false
0.166667
0.333333
0
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
0
0
0
null
0
0
0
0
0
0
0
1
1
0
0
0
0
6
36011f50763e2763762534e112d2a7cea6f3af2e
65
py
Python
experiments/archived/20210203/bag_model/models/__init__.py
fxnnxc/text_summarization
b8c8a5f491bc44622203602941c1514b2e006fe3
[ "Apache-2.0" ]
5
2020-10-14T02:30:44.000Z
2021-05-06T12:48:28.000Z
experiments/archived/20210119/bag_model/models/__init__.py
fxnnxc/text_summarization
b8c8a5f491bc44622203602941c1514b2e006fe3
[ "Apache-2.0" ]
2
2020-12-19T05:59:31.000Z
2020-12-22T11:05:31.000Z
experiments/archived/20210203/bag_model/models/__init__.py
fxnnxc/text_summarization
b8c8a5f491bc44622203602941c1514b2e006fe3
[ "Apache-2.0" ]
null
null
null
from .hub_interface import * # noqa from .model import * # noqa
32.5
36
0.707692
9
65
5
0.666667
0.444444
0
0
0
0
0
0
0
0
0
0
0.2
65
2
37
32.5
0.865385
0.138462
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
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
6
369f3934be836b3619a596d326601ac157eae3f4
2,344
py
Python
eternalghost.py
awareseven/eternalghosttest
989dafac06b72af21e1cd7103c92ec6b399e5133
[ "MIT" ]
2
2020-03-15T11:39:18.000Z
2021-12-05T20:38:48.000Z
eternalghost.py
awareseven/eternalghosttest
989dafac06b72af21e1cd7103c92ec6b399e5133
[ "MIT" ]
null
null
null
eternalghost.py
awareseven/eternalghosttest
989dafac06b72af21e1cd7103c92ec6b399e5133
[ "MIT" ]
2
2020-03-18T20:21:37.000Z
2020-10-13T09:19:14.000Z
import socket import struct import sys banner = """ _ _ _ _ | | | | | | | | ___| |_ ___ _ __ _ __ __ _| | __ _| |__ ___ ___| |_ / _ \ __/ _ \ '__| '_ \ / _` | |/ _` | '_ \ / _ \/ __| __| | __/ || __/ | | | | | (...
45.076923
761
0.593857
362
2,344
3.593923
0.267956
0.641045
0.857802
1.014604
0.447348
0.435819
0.435819
0.435819
0.40123
0.380477
0
0.228509
0.21587
2,344
52
762
45.076923
0.479325
0.074659
0
0.083333
0
0.166667
0.742593
0.347685
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0.194444
0
0
0
null
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
36c9545921e82accc771994b4028870845e16cb0
19,349
py
Python
tests/test_cli.py
jameswilkerson/elex
27733e3c473fef48676f8bdd56247bee49ad32ea
[ "Apache-2.0" ]
183
2015-11-25T15:13:47.000Z
2022-01-07T23:02:36.000Z
tests/test_cli.py
jameswilkerson/elex
27733e3c473fef48676f8bdd56247bee49ad32ea
[ "Apache-2.0" ]
198
2015-11-24T16:48:48.000Z
2020-10-26T10:38:56.000Z
tests/test_cli.py
jameswilkerson/elex
27733e3c473fef48676f8bdd56247bee49ad32ea
[ "Apache-2.0" ]
65
2015-12-03T21:29:38.000Z
2021-08-10T20:03:49.000Z
import csv import sys import json import tests try: from cStringIO import StringIO except ImportError: from io import StringIO from six import with_metaclass from elex.cli.app import ElexApp from collections import OrderedDict DATA_FILE = 'tests/data/20151103_national.json' DATA_ELECTION_DATE = '2015-11-03' DE...
33.826923
80
0.567213
2,008
19,349
5.190737
0.092629
0.067543
0.043749
0.06927
0.909047
0.901564
0.893217
0.892449
0.875756
0.873357
0
0.017043
0.329836
19,349
571
81
33.886165
0.786766
0.060985
0
0.687646
0
0
0.105222
0.022604
0
0
0
0
0.09324
1
0.125874
false
0
0.02331
0
0.195804
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
0
0
0
0
0
0
0
0
6
36eb37aac32d06e68b8f0f03ae15c8cd3b04fb1f
49
py
Python
trees/dasgupta/__init__.py
islamazhar/trees
502565c5bf02503c7bece09cddd93f9368da02c3
[ "MIT" ]
null
null
null
trees/dasgupta/__init__.py
islamazhar/trees
502565c5bf02503c7bece09cddd93f9368da02c3
[ "MIT" ]
null
null
null
trees/dasgupta/__init__.py
islamazhar/trees
502565c5bf02503c7bece09cddd93f9368da02c3
[ "MIT" ]
null
null
null
from trees.dasgupta.costtree import DasguptaTree
24.5
48
0.877551
6
49
7.166667
1
0
0
0
0
0
0
0
0
0
0
0
0.081633
49
1
49
49
0.955556
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
7fe7fde051fa8a3d76d968e9a6574579dd014181
152
py
Python
exercises/01_Primeiros Passos/exe_08.py
MariaTrindade/CursoPython
2c60dd670747db08011d9dd33e3bbfd5795b06e8
[ "Apache-2.0" ]
1
2021-05-11T18:30:17.000Z
2021-05-11T18:30:17.000Z
exercises/01_Primeiros Passos/exe_08.py
MariaTrindade/CursoPython
2c60dd670747db08011d9dd33e3bbfd5795b06e8
[ "Apache-2.0" ]
null
null
null
exercises/01_Primeiros Passos/exe_08.py
MariaTrindade/CursoPython
2c60dd670747db08011d9dd33e3bbfd5795b06e8
[ "Apache-2.0" ]
null
null
null
""" Faça um Programa que peça a temperatura em graus Fahrenheit, transforme e mostre a temperatura em graus Celsius. C = (5 * (F-32) / 9) """
9.5
80
0.651316
23
152
4.304348
0.826087
0.242424
0.282828
0.383838
0
0
0
0
0
0
0
0.034783
0.243421
152
15
81
10.133333
0.826087
0.881579
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
6
7fec3044100d2f06c27146cd462ed08cea1a54d2
201
py
Python
utils/compilers/ConnectionCompiler/token.py
pranaOS-bot/pranaOS-1
ddb8086d103d004f84744641624e74fc7ec0984e
[ "BSD-2-Clause" ]
5
2021-10-06T13:47:26.000Z
2022-03-24T10:42:06.000Z
utils/compilers/ConnectionCompiler/token.py
evilbat831/brutalOS
85920a6a95d564320a245a2e48ffc7cdf64ede84
[ "BSD-2-Clause" ]
null
null
null
utils/compilers/ConnectionCompiler/token.py
evilbat831/brutalOS
85920a6a95d564320a245a2e48ffc7cdf64ede84
[ "BSD-2-Clause" ]
1
2021-10-18T12:48:16.000Z
2021-10-18T12:48:16.000Z
class Token: def __init__(self, type=None, value=None): self.type = type self.value = value def __str__(self): return "Token({0}, {1})".format(self.type, self.value)
20.1
62
0.587065
27
201
4.074074
0.481481
0.218182
0.236364
0
0
0
0
0
0
0
0
0.013514
0.263682
201
10
62
20.1
0.72973
0
0
0
0
0
0.075
0
0
0
0
0
0
1
0.333333
false
0
0
0.166667
0.666667
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
3d0113714f49189583df2b472f9f7bb1b7d3193b
117
py
Python
aficionado/defaults.py
SamuelHornsey/aficionado
27654028ede3d719b091dd61f5c8d252f631a316
[ "MIT" ]
1
2019-11-27T21:58:10.000Z
2019-11-27T21:58:10.000Z
aficionado/defaults.py
SamuelHornsey/aficionado
27654028ede3d719b091dd61f5c8d252f631a316
[ "MIT" ]
null
null
null
aficionado/defaults.py
SamuelHornsey/aficionado
27654028ede3d719b091dd61f5c8d252f631a316
[ "MIT" ]
null
null
null
def not_found_handler(): return '404. Path not found' def internal_error_handler(): return '500. Internal error'
23.4
30
0.752137
17
117
4.941176
0.588235
0.190476
0
0
0
0
0
0
0
0
0
0.06
0.145299
117
5
31
23.4
0.78
0
0
0
0
0
0.322034
0
0
0
0
0
0
1
0.5
true
0
0
0.5
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
6
3d06f699f338062bc96644c815234c6952e6bcf8
1,136
py
Python
libary/yml_wrapper.py
NekoFanatic/kaiji
7ae8e12d4e821e7d28d78034e1ec044ed75f9536
[ "MIT" ]
null
null
null
libary/yml_wrapper.py
NekoFanatic/kaiji
7ae8e12d4e821e7d28d78034e1ec044ed75f9536
[ "MIT" ]
null
null
null
libary/yml_wrapper.py
NekoFanatic/kaiji
7ae8e12d4e821e7d28d78034e1ec044ed75f9536
[ "MIT" ]
null
null
null
from typing import Union import yaml class ConfigReader: def __init__(self): with open("config.yml", "r") as f: data = yaml.safe_load(f) self.data = data def __getattr__(self, __name: str): s = __name.split("_") data = self.data try: for i in s...
23.183673
52
0.49912
136
1,136
3.955882
0.308824
0.074349
0.072491
0.094796
0.791822
0.72119
0.72119
0.72119
0.72119
0.72119
0
0
0.399648
1,136
48
53
23.666667
0.788856
0
0
0.794872
0
0
0.065141
0
0
0
0
0
0
1
0.128205
false
0
0.051282
0
0.307692
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
3d224cb8121fbd91cf794debf39fda90674c7943
82
py
Python
technews/__init__.py
WisChang005/technews_watcher
454ef30bab7731c629f0e3b577ce340c48a6cbe7
[ "MIT" ]
1
2019-03-31T15:34:10.000Z
2019-03-31T15:34:10.000Z
technews/__init__.py
WisChang005/technews_watcher
454ef30bab7731c629f0e3b577ce340c48a6cbe7
[ "MIT" ]
null
null
null
technews/__init__.py
WisChang005/technews_watcher
454ef30bab7731c629f0e3b577ce340c48a6cbe7
[ "MIT" ]
null
null
null
from .technews_helper import TechNews from .mail_helper import EmailContentHelper
27.333333
43
0.878049
10
82
7
0.6
0.342857
0
0
0
0
0
0
0
0
0
0
0.097561
82
2
44
41
0.945946
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
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
6
3d25c2e6e29e6e78df3ddd62294d2447deebe52c
28
py
Python
aoc_tools/__init__.py
dannyboywoop/AOC_Tools
b47374ae465c5772d7b4c09f40eb6e69d68cc144
[ "MIT" ]
null
null
null
aoc_tools/__init__.py
dannyboywoop/AOC_Tools
b47374ae465c5772d7b4c09f40eb6e69d68cc144
[ "MIT" ]
null
null
null
aoc_tools/__init__.py
dannyboywoop/AOC_Tools
b47374ae465c5772d7b4c09f40eb6e69d68cc144
[ "MIT" ]
null
null
null
from ._advent_timer import *
28
28
0.821429
4
28
5.25
1
0
0
0
0
0
0
0
0
0
0
0
0.107143
28
1
28
28
0.84
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
3d2ce2c966a31e97ee5b7a66b2aeabb6f1778574
35
py
Python
arcpyext/mapping/_cim/__init__.py
PeterReyne/arcpyext
9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3
[ "BSD-3-Clause" ]
11
2015-05-01T04:08:30.000Z
2019-09-21T05:00:58.000Z
arcpyext/mapping/_cim/__init__.py
PeterReyne/arcpyext
9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3
[ "BSD-3-Clause" ]
14
2015-06-23T02:46:44.000Z
2019-10-11T00:46:11.000Z
arcpyext/mapping/_cim/__init__.py
PeterReyne/arcpyext
9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3
[ "BSD-3-Clause" ]
9
2015-02-27T05:25:42.000Z
2020-01-19T05:43:14.000Z
from .pro_project import ProProject
35
35
0.885714
5
35
6
1
0
0
0
0
0
0
0
0
0
0
0
0.085714
35
1
35
35
0.9375
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
3d30c11f1ede17efd698bce52b1da5e9569d559a
456
py
Python
reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py
jpmarques19/tensorflwo-test
0ff8b06e0415075c7269820d080284a42595bb2e
[ "Apache-2.0" ]
5
2019-01-19T23:53:35.000Z
2022-01-29T14:04:31.000Z
reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py
jpmarques19/tensorflwo-test
0ff8b06e0415075c7269820d080284a42595bb2e
[ "Apache-2.0" ]
4
2020-09-26T01:30:01.000Z
2022-02-10T02:20:35.000Z
reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py
jpmarques19/tensorflwo-test
0ff8b06e0415075c7269820d080284a42595bb2e
[ "Apache-2.0" ]
7
2020-03-04T22:23:51.000Z
2021-07-13T14:05:46.000Z
import pytest from markov.tests import test_constant @pytest.fixture def aws_region(): return test_constant.AWS_REGION @pytest.fixture def model_metadata_s3_key(): return test_constant.MODEL_METADATA_S3_KEY @pytest.fixture def reward_function_s3_source(): return test_constant.REWARD_FUNCTION_S3_SOURCE @...
19.826087
50
0.809211
66
456
5.227273
0.318182
0.208696
0.231884
0.104348
0
0
0
0
0
0
0
0.02
0.122807
456
22
51
20.727273
0.8425
0
0
0.294118
0
0
0
0
0
0
0
0
0
1
0.294118
true
0
0.117647
0.294118
0.705882
0
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
6
3d524c3bd35810437426c4644ee0f769511b58ea
152
py
Python
bindings/python/examples/05b_get_output.py
GoldenPedro/iota.rs
71464f96b8e29d9fbed34a6ff77e757a112fedd4
[ "Apache-2.0" ]
256
2017-06-27T02:37:21.000Z
2022-03-28T07:51:48.000Z
bindings/python/examples/05b_get_output.py
GoldenPedro/iota.rs
71464f96b8e29d9fbed34a6ff77e757a112fedd4
[ "Apache-2.0" ]
379
2017-06-25T05:49:14.000Z
2022-03-29T18:57:11.000Z
bindings/python/examples/05b_get_output.py
GoldenPedro/iota.rs
71464f96b8e29d9fbed34a6ff77e757a112fedd4
[ "Apache-2.0" ]
113
2017-06-25T14:07:05.000Z
2022-03-30T09:10:12.000Z
import iota_client client = iota_client.Client() print( client.get_output("a22cba0667c922cbb1f8bdcaf970b2a881ccd6e88e2fcce50374de2aac7c37720000") )
25.333333
93
0.848684
12
152
10.5
0.583333
0.15873
0.253968
0
0
0
0
0
0
0
0
0.264286
0.078947
152
6
94
25.333333
0.635714
0
0
0
0
0
0.444444
0.444444
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.2
1
0
1
null
0
1
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
3d56d13a865c0fd22d417834c65ef6529f433ba4
104
py
Python
Python/jump-to-python/Exponential.py
leeheefull/blog-source
5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1
[ "MIT" ]
null
null
null
Python/jump-to-python/Exponential.py
leeheefull/blog-source
5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1
[ "MIT" ]
null
null
null
Python/jump-to-python/Exponential.py
leeheefull/blog-source
5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1
[ "MIT" ]
null
null
null
# 지수부 표현 a = 1e9 print(a) # 1000000000.0 a = 7.525e2 print(a) # 752.5 a = 3954e-3 print(a) # 3.954
10.4
24
0.576923
22
104
2.727273
0.636364
0.3
0
0
0
0
0
0
0
0
0
0.397436
0.25
104
9
25
11.555556
0.371795
0.298077
0
0.5
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
0
0
null
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
6
3d582b494cb98544a7b8b83f15184b7f8c7c6d2b
43
py
Python
python/parse_ddl/tests/ddl_examples/test_vs.py
jared-ong/data-projects
21ceccacb8e408ca45fe95c1c4d311f48e8f7708
[ "MIT" ]
null
null
null
python/parse_ddl/tests/ddl_examples/test_vs.py
jared-ong/data-projects
21ceccacb8e408ca45fe95c1c4d311f48e8f7708
[ "MIT" ]
null
null
null
python/parse_ddl/tests/ddl_examples/test_vs.py
jared-ong/data-projects
21ceccacb8e408ca45fe95c1c4d311f48e8f7708
[ "MIT" ]
null
null
null
import json import re print("Hello world")
10.75
20
0.767442
7
43
4.714286
0.857143
0
0
0
0
0
0
0
0
0
0
0
0.139535
43
4
20
10.75
0.891892
0
0
0
0
0
0.25
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0.333333
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
0
0
6
180f8229eeb538cba11111f51d0cfaabcfe979dc
14,002
py
Python
test.py
gmberton/deep-visual-geo-localization-benchmark
7ac395411b7eeff99da66675dedc5372839e5632
[ "MIT" ]
1
2022-03-25T06:48:16.000Z
2022-03-25T06:48:16.000Z
test.py
gmberton/deep-visual-geo-localization-benchmark
7ac395411b7eeff99da66675dedc5372839e5632
[ "MIT" ]
null
null
null
test.py
gmberton/deep-visual-geo-localization-benchmark
7ac395411b7eeff99da66675dedc5372839e5632
[ "MIT" ]
null
null
null
import faiss import torch import logging import numpy as np from tqdm import tqdm from torch.utils.data import DataLoader from torch.utils.data.dataset import Subset def test_efficient_ram_usage(args, eval_ds, model, test_method="hard_resize"): """This function gives the same output as test(), but uses much less...
54.909804
121
0.644337
1,845
14,002
4.700813
0.137669
0.03459
0.031477
0.038741
0.798801
0.784388
0.770552
0.746224
0.724893
0.716361
0
0.018448
0.252821
14,002
255
122
54.909804
0.810552
0.17676
0
0.701087
0
0
0.065567
0
0
0
0
0
0.005435
1
0.016304
false
0
0.038043
0
0.070652
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
18173f17dd015c09e3b1cfc44c736b20bfea7170
126
py
Python
ppa-mirror/config.py
elprup/ppa-mirror
29e8a5027bbb698fcb36a250484b08ea945f65cf
[ "MIT" ]
null
null
null
ppa-mirror/config.py
elprup/ppa-mirror
29e8a5027bbb698fcb36a250484b08ea945f65cf
[ "MIT" ]
null
null
null
ppa-mirror/config.py
elprup/ppa-mirror
29e8a5027bbb698fcb36a250484b08ea945f65cf
[ "MIT" ]
1
2021-03-04T13:43:34.000Z
2021-03-04T13:43:34.000Z
cache_root = '/home/ubuntu/ppa-mirror/cache/' mirror_root = '/home/ubuntu/ppa-mirror/repo' http_proxy = "188.112.194.222:8080"
42
45
0.746032
21
126
4.333333
0.666667
0.175824
0.307692
0.373626
0.505495
0
0
0
0
0
0
0.135593
0.063492
126
3
46
42
0.635593
0
0
0
0
0
0.614173
0.456693
0
0
0
0
0
1
0
false
0
0
0
0
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
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
18444ea5a0cd3e04e2706a71502de539bb9fa0dc
1,709
py
Python
python/tests/test_tree_intersection.py
Yonatan1P/data-structures-and-algorithms
ddd647d52a3182ca01032bfdb72f94ea22a0e76b
[ "MIT" ]
1
2020-12-16T22:38:12.000Z
2020-12-16T22:38:12.000Z
python/tests/test_tree_intersection.py
Yonatan1P/data-structures-and-algorithms
ddd647d52a3182ca01032bfdb72f94ea22a0e76b
[ "MIT" ]
1
2020-11-14T05:37:48.000Z
2020-11-14T05:37:48.000Z
python/tests/test_tree_intersection.py
Yonatan1P/data-structures-and-algorithms
ddd647d52a3182ca01032bfdb72f94ea22a0e76b
[ "MIT" ]
null
null
null
from challenges.tree_intersection.tree_intersection import find_intersection from challenges.tree.tree import BinarySearchTree def test_find_intersection(): tree1 = BinarySearchTree() tree1.add(1) tree1.add(2) tree1.add(3) tree1.add(4) tree1.add(5) tree1.add(6) tree1.add(7) tree1.ad...
21.632911
76
0.627853
240
1,709
4.395833
0.133333
0.181991
0.099526
0.10237
0.798104
0.730806
0.730806
0.730806
0.730806
0.730806
0
0.098386
0.238736
1,709
78
77
21.910256
0.712529
0
0
0.837838
0
0
0
0
0
0
0
0
0.054054
1
0.054054
false
0
0.027027
0
0.081081
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
a101053cd887c912399a70d0a235e2cfdc45a962
34
py
Python
evaluation/__init__.py
Luxios22/Dual_Norm
b404a03b15fc05749e0c648d9e46ffe70f6b2a80
[ "MIT" ]
null
null
null
evaluation/__init__.py
Luxios22/Dual_Norm
b404a03b15fc05749e0c648d9e46ffe70f6b2a80
[ "MIT" ]
null
null
null
evaluation/__init__.py
Luxios22/Dual_Norm
b404a03b15fc05749e0c648d9e46ffe70f6b2a80
[ "MIT" ]
null
null
null
from .evaluation import evaluation
34
34
0.882353
4
34
7.5
0.75
0
0
0
0
0
0
0
0
0
0
0
0.088235
34
1
34
34
0.967742
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a10d6496b80a4c774fdd41dcbb4c0a5e756986a0
317
py
Python
torch_geometric_temporal/signal/__init__.py
tforgaard/pytorch_geometric_temporal
d3a6a55119cb8cc38cb6d941ba8f74879d02c4b8
[ "MIT" ]
1,410
2020-06-27T03:36:19.000Z
2022-03-31T23:29:22.000Z
torch_geometric_temporal/signal/__init__.py
tforgaard/pytorch_geometric_temporal
d3a6a55119cb8cc38cb6d941ba8f74879d02c4b8
[ "MIT" ]
124
2020-07-07T16:11:09.000Z
2022-03-31T07:21:53.000Z
torch_geometric_temporal/signal/__init__.py
tforgaard/pytorch_geometric_temporal
d3a6a55119cb8cc38cb6d941ba8f74879d02c4b8
[ "MIT" ]
230
2020-07-27T11:13:52.000Z
2022-03-31T14:31:29.000Z
from .dynamic_graph_temporal_signal import * from .dynamic_graph_temporal_signal_batch import * from .static_graph_temporal_signal import * from .static_graph_temporal_signal_batch import * from .dynamic_graph_static_signal import * from .dynamic_graph_static_signal_batch import * from .train_test_split import *
28.818182
50
0.858044
44
317
5.659091
0.25
0.240964
0.257028
0.26506
0.859438
0.670683
0
0
0
0
0
0
0.097792
317
10
51
31.7
0.870629
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
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
6
a133fa0afcdcf42b74dd45b66f95e50ddbf7734f
41
py
Python
actfw_core/v4l2/__init__.py
Idein/actfw-core
44c979bbe5d32d068eed20b7d565a6de2fb9acd3
[ "MIT" ]
2
2021-03-15T11:44:37.000Z
2021-05-12T09:58:35.000Z
actfw_core/v4l2/__init__.py
Idein/actfw-core
44c979bbe5d32d068eed20b7d565a6de2fb9acd3
[ "MIT" ]
28
2020-12-24T02:53:37.000Z
2022-03-14T09:02:28.000Z
actfw_core/v4l2/__init__.py
Idein/actfw-core
44c979bbe5d32d068eed20b7d565a6de2fb9acd3
[ "MIT" ]
null
null
null
from . import types, video # noqa: F401
20.5
40
0.682927
6
41
4.666667
1
0
0
0
0
0
0
0
0
0
0
0.09375
0.219512
41
1
41
41
0.78125
0.243902
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a1360dd0640d6fe332d03889c6a40e96f3ddedfb
3,227
py
Python
vet_care/scripts/generate_from_history.py
neerajvkn/vet_care
14914b22e7a83265d736f9f9dc5186271ae62d66
[ "MIT" ]
2
2020-11-23T11:14:32.000Z
2021-02-03T06:40:33.000Z
vet_care/scripts/generate_from_history.py
neerajvkn/vet_care
14914b22e7a83265d736f9f9dc5186271ae62d66
[ "MIT" ]
null
null
null
vet_care/scripts/generate_from_history.py
neerajvkn/vet_care
14914b22e7a83265d736f9f9dc5186271ae62d66
[ "MIT" ]
7
2019-11-16T14:36:33.000Z
2021-08-25T07:54:51.000Z
import csv import datetime import frappe # bench execute vet_care.scripts.generate_from_history.execute --args "['./data/important_data.csv']" def execute(filename): patient_activities = [] not_created = [] with open(filename, 'r') as csvfile: reader = csv.DictReader(csvfile) for row in re...
37.964706
119
0.634645
350
3,227
5.597143
0.24
0.121491
0.061256
0.033691
0.748851
0.748851
0.748851
0.730985
0.730985
0.704441
0
0.005907
0.265572
3,227
84
120
38.416667
0.820675
0.067245
0
0.638889
1
0
0.075254
0
0
0
0
0
0
1
0.069444
false
0
0.041667
0.013889
0.180556
0.055556
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
0
0
0
0
0
0
0
0
6
a17ec4639df7fdbb530566bb66941b664210b137
96
py
Python
bhinneka/utils.py
kangfend/scrapy-bhinneka
a4a6e4ae5295e8bf83b213c1dace9c7de70f128c
[ "MIT" ]
1
2016-10-04T10:10:05.000Z
2016-10-04T10:10:05.000Z
bhinneka/utils.py
kangfend/scrapy-bhinneka
a4a6e4ae5295e8bf83b213c1dace9c7de70f128c
[ "MIT" ]
null
null
null
bhinneka/utils.py
kangfend/scrapy-bhinneka
a4a6e4ae5295e8bf83b213c1dace9c7de70f128c
[ "MIT" ]
null
null
null
from bhinneka.settings import BASE_URL def get_absolute_url(path): return BASE_URL + path
16
38
0.78125
15
96
4.733333
0.733333
0.197183
0
0
0
0
0
0
0
0
0
0
0.166667
96
5
39
19.2
0.8875
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
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
6
a19de4fc6f1c20cd12d2dfef53eca7293ca3f561
38
py
Python
scooby/plugins/processtime/__init__.py
zetaab/django-scooby-profiler
c4e63b5751a7aec2b01df3b46368c6ad40ec51e3
[ "MIT" ]
9
2018-09-20T16:45:40.000Z
2021-08-08T07:04:55.000Z
scooby/plugins/processtime/__init__.py
zetaab/django-scooby-profiler
c4e63b5751a7aec2b01df3b46368c6ad40ec51e3
[ "MIT" ]
7
2018-09-14T10:34:37.000Z
2019-04-20T06:54:29.000Z
scooby/plugins/processtime/__init__.py
zetaab/django-scooby-profiler
c4e63b5751a7aec2b01df3b46368c6ad40ec51e3
[ "MIT" ]
3
2018-09-14T10:39:51.000Z
2019-06-26T09:32:13.000Z
from .plugin import ProcessTimePlugin
19
37
0.868421
4
38
8.25
1
0
0
0
0
0
0
0
0
0
0
0
0.105263
38
1
38
38
0.970588
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a1b746b6ceeb8b3c1f65c79e0b5184f641adb774
58
py
Python
a.20.7.py
AmanMishra148/python-repo
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
[ "bzip2-1.0.6" ]
null
null
null
a.20.7.py
AmanMishra148/python-repo
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
[ "bzip2-1.0.6" ]
1
2021-10-18T09:59:45.000Z
2021-10-18T09:59:45.000Z
a.20.7.py
AmanMishra148/python-repo
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
[ "bzip2-1.0.6" ]
4
2021-10-18T09:40:54.000Z
2021-10-19T14:14:28.000Z
def si(p,r,t): n= (p+r+t)//3 return n
8.285714
17
0.344828
12
58
1.666667
0.666667
0.2
0.3
0
0
0
0
0
0
0
0
0.03125
0.448276
58
6
18
9.666667
0.59375
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0
0.666667
0
1
0
1
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
6
b805e135095833b9aacb9e146ceaa3844c6781fb
670
py
Python
setup.py
comradepopo/p4rmyknife
e34a12a86cc090e3add25dc5baa7f6629586a4c6
[ "Apache-2.0" ]
null
null
null
setup.py
comradepopo/p4rmyknife
e34a12a86cc090e3add25dc5baa7f6629586a4c6
[ "Apache-2.0" ]
1
2019-10-18T23:10:11.000Z
2019-10-18T23:10:11.000Z
setup.py
comradepopo/p4rmyknife
e34a12a86cc090e3add25dc5baa7f6629586a4c6
[ "Apache-2.0" ]
null
null
null
try: from setuptools import setup except ImportError: from distutils.core import setup 'description': 'P4rmyKnife - The Swiss Army Knife for P4', 'author': 'Assembla, Inc.', 'url': 'https://assembla.com/' 'author_email': 'louis@assembla.com', 'version': '0.1', 'install_requires': [], ...
25.769231
62
0.626866
73
670
5.69863
0.452055
0.105769
0.115385
0.139423
0.745192
0.745192
0.745192
0.745192
0.745192
0.745192
0
0.022346
0.198507
670
25
63
26.8
0.752328
0
0
0
0
0
0.456716
0
0
0
0
0
0
0
null
null
0
0.130435
null
null
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
1
0
0
0
0
0
0
0
0
6
62c3efcf40a53a46324b9e3f1578e57e7300a9cb
21
py
Python
lib/utils/__init__.py
jwyang/C3Net.pytorch
70026fc80c5427484268c428a9dcd4cde2e8197f
[ "MIT" ]
43
2019-12-13T06:13:40.000Z
2021-07-25T06:29:17.000Z
lib/utils/__init__.py
jwyang/C3Net.pytorch
70026fc80c5427484268c428a9dcd4cde2e8197f
[ "MIT" ]
2
2020-12-05T14:24:17.000Z
2020-12-24T09:47:10.000Z
lib/utils/__init__.py
jwyang/C3Net.pytorch
70026fc80c5427484268c428a9dcd4cde2e8197f
[ "MIT" ]
4
2019-12-16T20:25:20.000Z
2020-06-23T08:45:17.000Z
from .verbo import *
10.5
20
0.714286
3
21
5
1
0
0
0
0
0
0
0
0
0
0
0
0.190476
21
1
21
21
0.882353
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
62e085ec76ed466edc7957012e2209ee7eb9a47a
131
py
Python
pair-ranking-cnn/utils.py
shinoyuki222/torch-light
4799805d9bcae82a9f12a574dcf9fdd838c92ee9
[ "MIT" ]
310
2018-11-02T10:12:33.000Z
2022-03-30T02:59:51.000Z
pair-ranking-cnn/utils.py
shinoyuki222/torch-light
4799805d9bcae82a9f12a574dcf9fdd838c92ee9
[ "MIT" ]
14
2018-11-08T10:09:46.000Z
2021-07-30T08:54:33.000Z
pair-ranking-cnn/utils.py
shinoyuki222/torch-light
4799805d9bcae82a9f12a574dcf9fdd838c92ee9
[ "MIT" ]
152
2018-11-02T13:00:49.000Z
2022-03-28T12:45:08.000Z
import const def corpora2idx(sents, ind2idx): return [[ind2idx[w] if w in ind2idx else const.UNK for w in s] for s in sents]
21.833333
82
0.709924
24
131
3.875
0.583333
0.064516
0
0
0
0
0
0
0
0
0
0.038462
0.206107
131
5
83
26.2
0.855769
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
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
6
1a03179c783f6a71443f0dfefb1dcdf8bf7a653b
40
py
Python
samplePythonfiles/cc.py
fazilsha/python-automation
80ce94642a94276d3b970ae390a5d1464ad2f2b8
[ "MIT" ]
null
null
null
samplePythonfiles/cc.py
fazilsha/python-automation
80ce94642a94276d3b970ae390a5d1464ad2f2b8
[ "MIT" ]
null
null
null
samplePythonfiles/cc.py
fazilsha/python-automation
80ce94642a94276d3b970ae390a5d1464ad2f2b8
[ "MIT" ]
null
null
null
print("File dd.py sucessfully executed")
40
40
0.8
6
40
5.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.075
40
1
40
40
0.864865
0
0
0
0
0
0.756098
0
0
0
0
0
0
1
0
true
0
0
0
0
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
1
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
6
a7f7aa50e11186fe4bb67eb3b4c81147ea13ad7a
29
py
Python
app.py
00MB/lottocoin
ebf27f5a02169d948e8633b1dc5d5ad37ee1bb4a
[ "MIT" ]
2
2021-02-10T01:40:36.000Z
2021-02-10T01:41:22.000Z
app.py
00MB/lottocoin
ebf27f5a02169d948e8633b1dc5d5ad37ee1bb4a
[ "MIT" ]
null
null
null
app.py
00MB/lottocoin
ebf27f5a02169d948e8633b1dc5d5ad37ee1bb4a
[ "MIT" ]
null
null
null
from lottocoin import app
5.8
25
0.758621
4
29
5.5
1
0
0
0
0
0
0
0
0
0
0
0
0.241379
29
4
26
7.25
1
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
3d8aee839cc7a45416c287f7da1460240d9b1dd8
28
py
Python
inlinec/__init__.py
ssize-t/inlinec
20eca6bf8556a77906ba5f420f09006d6daf4355
[ "Apache-2.0" ]
22
2020-10-10T18:25:04.000Z
2021-11-09T18:56:34.000Z
inlinec/__init__.py
ssize-t/inlinec
20eca6bf8556a77906ba5f420f09006d6daf4355
[ "Apache-2.0" ]
1
2020-11-10T03:50:05.000Z
2020-11-10T03:50:05.000Z
inlinec/__init__.py
ssize-t/inlinec
20eca6bf8556a77906ba5f420f09006d6daf4355
[ "Apache-2.0" ]
2
2020-10-10T16:09:42.000Z
2021-03-10T16:43:11.000Z
from .inlinec import inlinec
28
28
0.857143
4
28
6
0.75
0
0
0
0
0
0
0
0
0
0
0
0.107143
28
1
28
28
0.96
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
3dc364b351e4b86533cd7ac27b461f7ca088a0a9
2,126
py
Python
tests/test_runner/test_discover_runner.py
tomleo/django
ebfb71c64a786620947c9d598fd1ebae2958acff
[ "BSD-3-Clause" ]
1
2015-09-09T08:48:03.000Z
2015-09-09T08:48:03.000Z
tests/test_runner/test_discover_runner.py
tomleo/django
ebfb71c64a786620947c9d598fd1ebae2958acff
[ "BSD-3-Clause" ]
null
null
null
tests/test_runner/test_discover_runner.py
tomleo/django
ebfb71c64a786620947c9d598fd1ebae2958acff
[ "BSD-3-Clause" ]
1
2020-04-12T19:00:12.000Z
2020-04-12T19:00:12.000Z
from django.test import TestCase from django.test.runner import DiscoverRunner class DiscoverRunnerTest(TestCase): def test_dotted_test_module(self): count = DiscoverRunner().build_suite( ["test_discovery_sample.tests_sample"], ).countTestCases() self.assertEqual(count, 3) ...
30.811594
83
0.676388
212
2,126
6.443396
0.165094
0.04612
0.151537
0.151537
0.871157
0.830161
0.830161
0.830161
0.807467
0.67716
0
0.007855
0.221543
2,126
68
84
31.264706
0.817523
0
0
0.479167
0
0
0.203669
0.198965
0
0
0
0
0.1875
1
0.1875
false
0
0.041667
0
0.25
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
0
0
0
0
0
0
0
0
6
3dca6b4523ea884f293c6a6b346cc8182bedf764
28
py
Python
tunga/preprocessing/__init__.py
tahtaciburak/tunga
e71a4fa393d692779ab6d674673c5674d7287dac
[ "MIT" ]
5
2020-07-31T19:26:46.000Z
2020-10-23T11:49:06.000Z
tunga/preprocessing/__init__.py
tunga-ml/tunga
823fd762054fd513300025cbb1fc799f7e3cf6b1
[ "MIT" ]
null
null
null
tunga/preprocessing/__init__.py
tunga-ml/tunga
823fd762054fd513300025cbb1fc799f7e3cf6b1
[ "MIT" ]
1
2021-09-10T08:24:13.000Z
2021-09-10T08:24:13.000Z
from .normalization import *
28
28
0.821429
3
28
7.666667
1
0
0
0
0
0
0
0
0
0
0
0
0.107143
28
1
28
28
0.92
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
9a8b2c9a4fe128befea072dd96f7b456a616ecd8
15,178
py
Python
YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py
ForrestPi/ObjectDetection
54e0821e73f67be5360c36f01229a123c34ab3b3
[ "MIT" ]
12
2020-03-25T01:24:22.000Z
2021-09-18T06:40:16.000Z
YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py
ForrestPi/ObjectDetection
54e0821e73f67be5360c36f01229a123c34ab3b3
[ "MIT" ]
1
2020-04-22T07:52:36.000Z
2020-04-22T07:52:36.000Z
YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py
ForrestPi/ObjectDetection
54e0821e73f67be5360c36f01229a123c34ab3b3
[ "MIT" ]
4
2020-03-25T01:24:26.000Z
2020-09-20T11:29:09.000Z
# coding:utf-8 import numpy as np import tensorflow as tf from layers import * from MobilenetV2 import MobilenetV2,MobilenetV2_dynamic class YOLOV3(object): def __init__(self, training,numcls=20): self.__training = training self.__num_classes = numcls self.__strides=[8,16,32] def build...
80.306878
158
0.566346
1,640
15,178
4.928659
0.102439
0.06124
0.077199
0.048497
0.866263
0.849066
0.832117
0.819127
0.810343
0.810343
0
0.047602
0.258137
15,178
188
159
80.734043
0.670249
0.183555
0
0.529412
0
0
0.061263
0
0
0
0
0
0
1
0.022059
false
0
0.029412
0
0.073529
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
0
0
0
0
0
0
0
0
6
9ad73e40610067893659f1466d9493e1d1fdb576
49
py
Python
ledger/checkout/models.py
jawaidm/ledger
7094f3320d6a409a2a0080e70fa7c2b9dba4a715
[ "Apache-2.0" ]
59
2015-08-29T10:51:34.000Z
2021-11-03T10:00:25.000Z
ledger/checkout/models.py
jawaidm/ledger
7094f3320d6a409a2a0080e70fa7c2b9dba4a715
[ "Apache-2.0" ]
162
2018-02-16T05:13:03.000Z
2021-05-14T02:47:37.000Z
ledger/checkout/models.py
jawaidm/ledger
7094f3320d6a409a2a0080e70fa7c2b9dba4a715
[ "Apache-2.0" ]
22
2015-08-10T10:46:18.000Z
2020-04-04T07:11:55.000Z
from oscar.apps.checkout.models import * # noqa
24.5
48
0.755102
7
49
5.285714
1
0
0
0
0
0
0
0
0
0
0
0
0.142857
49
1
49
49
0.880952
0.081633
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
9af29a94a64ce15c2f18ac01d5658596e67aa248
48
py
Python
dachar/utils/__init__.py
roocs/dachar
687b6acb535f634791d13a435cded5f97cae8e76
[ "BSD-3-Clause" ]
2
2020-05-01T11:17:06.000Z
2020-11-23T10:37:24.000Z
dachar/utils/__init__.py
roocs/dachar
687b6acb535f634791d13a435cded5f97cae8e76
[ "BSD-3-Clause" ]
69
2020-03-26T15:39:26.000Z
2022-01-14T14:34:39.000Z
dachar/utils/__init__.py
roocs/dachar
687b6acb535f634791d13a435cded5f97cae8e76
[ "BSD-3-Clause" ]
null
null
null
from .common import * from .json_store import *
16
25
0.75
7
48
5
0.714286
0
0
0
0
0
0
0
0
0
0
0
0.166667
48
2
26
24
0.875
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
b118f2f3e6c0e9617cb2cf673e9a7f3e68d6f9ce
53
py
Python
basicts/archs/DGCRN_arch/__init__.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
3
2022-02-22T12:50:08.000Z
2022-03-13T03:38:46.000Z
basicts/archs/DGCRN_arch/__init__.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
null
null
null
basicts/archs/DGCRN_arch/__init__.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
null
null
null
from basicts.archs.DGCRN_arch.DGCRN_arch import DGCRN
53
53
0.886792
9
53
5
0.666667
0.4
0
0
0
0
0
0
0
0
0
0
0.056604
53
1
53
53
0.9
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
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
6
b1716479f1c26f49cf955c116938436d2e898588
21
py
Python
fastagram/tags/models/__init__.py
dobestan/fastagram
8c57401512d7621890a4f160d4b27c6e0d3ab326
[ "MIT" ]
1
2016-03-27T10:36:01.000Z
2016-03-27T10:36:01.000Z
fastagram/tags/models/__init__.py
dobestan/django-101-fastagram
8c57401512d7621890a4f160d4b27c6e0d3ab326
[ "MIT" ]
3
2016-03-25T05:32:39.000Z
2016-03-28T04:59:17.000Z
fastagram/tags/models/__init__.py
dobestan/django-101-fastagram
8c57401512d7621890a4f160d4b27c6e0d3ab326
[ "MIT" ]
1
2016-03-28T16:35:36.000Z
2016-03-28T16:35:36.000Z
from .tag import Tag
10.5
20
0.761905
4
21
4
0.75
0
0
0
0
0
0
0
0
0
0
0
0.190476
21
1
21
21
0.941176
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
b179ff426e1a26e74d3b6cc6592435b4bf9294c3
224
py
Python
face_api/admin.py
glen-s-abraham/face-detection-api
ce671a9750065c0fc82d0dd668299738f1c07508
[ "MIT" ]
null
null
null
face_api/admin.py
glen-s-abraham/face-detection-api
ce671a9750065c0fc82d0dd668299738f1c07508
[ "MIT" ]
null
null
null
face_api/admin.py
glen-s-abraham/face-detection-api
ce671a9750065c0fc82d0dd668299738f1c07508
[ "MIT" ]
null
null
null
from django.contrib import admin from face_api.models import KnowledgeDatabase from face_api.models import ImageUploads # Register your models here. admin.site.register(KnowledgeDatabase) admin.site.register(ImageUploads)
24.888889
45
0.848214
29
224
6.482759
0.482759
0.085106
0.117021
0.180851
0.244681
0
0
0
0
0
0
0
0.09375
224
8
46
28
0.926108
0.116071
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
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
0
1
0
1
0
0
6
b189f5ce6dc38c0cbcc1102caf8a791a932e5870
12,747
py
Python
tests/asgi/test_configuration.py
mrmilu/ariadne
cba577bd4befd16e0ec22701a5ac68f719661a9a
[ "BSD-3-Clause" ]
1
2020-05-28T01:48:58.000Z
2020-05-28T01:48:58.000Z
tests/asgi/test_configuration.py
mrmilu/ariadne
cba577bd4befd16e0ec22701a5ac68f719661a9a
[ "BSD-3-Clause" ]
null
null
null
tests/asgi/test_configuration.py
mrmilu/ariadne
cba577bd4befd16e0ec22701a5ac68f719661a9a
[ "BSD-3-Clause" ]
null
null
null
# pylint: disable=not-context-manager from unittest.mock import ANY, Mock from starlette.testclient import TestClient from ariadne.asgi import ( GQL_CONNECTION_ACK, GQL_CONNECTION_INIT, GQL_DATA, GQL_ERROR, GQL_START, GraphQL, ) from ariadne.types import Extension def test_custom_context_val...
36.524355
87
0.672394
1,500
12,747
5.372
0.079333
0.052122
0.055597
0.040084
0.889551
0.871432
0.865724
0.840035
0.797717
0.764954
0
0.000974
0.194556
12,747
348
88
36.62931
0.783871
0.002746
0
0.633094
0
0
0.112746
0.006924
0
0
0
0
0.165468
1
0.115108
false
0.039568
0.014388
0.007194
0.158273
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
0
0
0
0
0
0
0
0
6
b18b42a0184f3b3519a30ad5c379fbaef6c9cbc7
14,426
py
Python
tests/unit/test_door.py
buxx/rolling
ef1268fe6ddabe768a125c3ce8b37e0b9cbad4a5
[ "MIT" ]
14
2019-11-16T18:51:51.000Z
2022-01-15T17:50:34.000Z
tests/unit/test_door.py
buxx/rolling
ef1268fe6ddabe768a125c3ce8b37e0b9cbad4a5
[ "MIT" ]
148
2018-12-10T09:07:45.000Z
2022-03-08T10:51:04.000Z
tests/unit/test_door.py
buxx/rolling
ef1268fe6ddabe768a125c3ce8b37e0b9cbad4a5
[ "MIT" ]
1
2020-08-05T14:25:48.000Z
2020-08-05T14:25:48.000Z
from aiohttp.test_utils import TestClient import pytest import typing import unittest.mock from rolling.kernel import Kernel from rolling.model.character import CharacterModel from rolling.model.character import MINIMUM_BEFORE_EXHAUSTED from rolling.server.document.affinity import AffinityDirectionType from rolling.se...
32.272931
93
0.643768
1,746
14,426
4.947881
0.087629
0.036926
0.031832
0.036115
0.835398
0.821391
0.778447
0.774858
0.769765
0.75819
0
0.00491
0.28005
14,426
446
94
32.345291
0.826882
0.018439
0
0.633053
0
0
0.037097
0.03108
0
0
0
0
0.095238
1
0.02521
false
0
0.044818
0
0.07563
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
0
0
0
0
0
0
0
0
6
b8e0455d33253902aeabce67886870561b85812f
2,685
py
Python
quantumcat/gates/custom_gates/cirq/__init__.py
Artificial-Brain/quantumcat
eff99cac7674b3a1b7e1f752e7ebed2b960f85b3
[ "Apache-2.0" ]
20
2021-05-10T07:04:41.000Z
2021-12-13T17:12:05.000Z
quantumcat/gates/custom_gates/cirq/__init__.py
Artificial-Brain/quantumcat
eff99cac7674b3a1b7e1f752e7ebed2b960f85b3
[ "Apache-2.0" ]
2
2021-04-26T05:34:52.000Z
2021-05-16T13:46:22.000Z
quantumcat/gates/custom_gates/cirq/__init__.py
Artificial-Brain/quantumcat
eff99cac7674b3a1b7e1f752e7ebed2b960f85b3
[ "Apache-2.0" ]
17
2021-04-02T18:09:33.000Z
2022-02-10T16:38:57.000Z
# (C) Copyright Artificial Brain 2021. # # 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 ...
55.9375
75
0.84581
421
2,685
5.23753
0.325416
0.209524
0.284354
0.37415
0.508844
0.508844
0
0
0
0
0
0.010643
0.09013
2,685
47
76
57.12766
0.891936
0.211173
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
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
770aad7e1ff56e67c95983849d2bf6bbbc1649fe
284
py
Python
slackwebhook/__init__.py
FoundryGroup/Slack-Webhook
1a71f68eec876684ffaa7ba936bbc099f55dfb81
[ "MIT" ]
null
null
null
slackwebhook/__init__.py
FoundryGroup/Slack-Webhook
1a71f68eec876684ffaa7ba936bbc099f55dfb81
[ "MIT" ]
null
null
null
slackwebhook/__init__.py
FoundryGroup/Slack-Webhook
1a71f68eec876684ffaa7ba936bbc099f55dfb81
[ "MIT" ]
null
null
null
################################################################################ # Python package __init__.py file. # # Author: Carl Cortright # Date: 12/20/2016 # ################################################################################ from slackwebhook import slackwebhook
28.4
80
0.323944
16
284
5.5
0.9375
0
0
0
0
0
0
0
0
0
0
0.030418
0.073944
284
9
81
31.555556
0.304183
0.253521
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
770c52f41e079a4cb403bba6dcadc3852fc8a850
231
py
Python
job_scheduler/cache/__init__.py
konkolorado/job-scheduler
e76b24d0592d9d1f62b5a1525b6a152b9983b2fa
[ "MIT" ]
null
null
null
job_scheduler/cache/__init__.py
konkolorado/job-scheduler
e76b24d0592d9d1f62b5a1525b6a152b9983b2fa
[ "MIT" ]
null
null
null
job_scheduler/cache/__init__.py
konkolorado/job-scheduler
e76b24d0592d9d1f62b5a1525b6a152b9983b2fa
[ "MIT" ]
1
2021-08-09T15:28:49.000Z
2021-08-09T15:28:49.000Z
from job_scheduler.cache.base import ScheduleCache from job_scheduler.cache.fake import FakeScheduleCache from job_scheduler.cache.redis import RedisScheduleCache all = ["ScheduleCache", "RedisScheduleCache", "FakeScheduleCache"]
38.5
66
0.848485
25
231
7.72
0.48
0.108808
0.248705
0.326425
0
0
0
0
0
0
0
0
0.077922
231
5
67
46.2
0.906103
0
0
0
0
0
0.207792
0
0
0
0
0
0
1
0
false
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
0
0
1
0
1
0
0
6
7722bc9189fc79c029275036a7e49a54482e4d8c
38
py
Python
pkg/agents/team4/trainingAgent/findBestConfigs.py
SOMAS2021/SOMAS2021
acaa13e3d663d3f59589f3b26860db643b3bf29e
[ "MIT" ]
13
2021-12-02T09:28:47.000Z
2022-01-14T18:39:51.000Z
pkg/agents/team4/trainingAgent/findBestConfigs.py
SOMAS2021/SOMAS2021
acaa13e3d663d3f59589f3b26860db643b3bf29e
[ "MIT" ]
190
2021-11-19T15:37:44.000Z
2022-01-17T00:23:13.000Z
pkg/agents/team4/trainingAgent/findBestConfigs.py
SOMAS2021/SOMAS2021
acaa13e3d663d3f59589f3b26860db643b3bf29e
[ "MIT" ]
4
2021-11-22T18:21:53.000Z
2021-12-22T13:55:42.000Z
# TODO: autmatate finding best agents
19
37
0.789474
5
38
6
1
0
0
0
0
0
0
0
0
0
0
0
0.157895
38
1
38
38
0.9375
0.921053
0
null
0
null
0
0
null
0
0
1
null
1
null
true
0
0
null
null
null
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
1
0
0
0
1
0
0
0
0
0
0
6
773a351110e170920b1633be885fbe44c1c4b850
4,127
py
Python
examples/sudoku/sudoku_cores.py
SRI-CSL/yices2_python_bindings
ff48993b6f620605afce12741f9afede94238627
[ "MIT" ]
8
2018-09-19T00:42:45.000Z
2022-03-25T12:22:01.000Z
examples/sudoku/sudoku_cores.py
SRI-CSL/yices2_python_bindings
ff48993b6f620605afce12741f9afede94238627
[ "MIT" ]
4
2020-06-05T21:44:14.000Z
2021-12-06T17:24:31.000Z
examples/sudoku/sudoku_cores.py
SRI-CSL/yices2_python_bindings
ff48993b6f620605afce12741f9afede94238627
[ "MIT" ]
3
2020-07-10T18:15:01.000Z
2020-12-16T09:50:02.000Z
#!/usr/bin/env python """Using unsat cores to give hints.""" from SudokuLib import Puzzle from Solver import Solver from yices.Yices import Yices from yices.Census import Census puzzle_blank = [ [ 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...
24.565476
119
0.414587
863
4,127
1.954809
0.127462
0.403082
0.412567
0.403082
0.367516
0.339656
0.272081
0.19917
0.161826
0.112033
0
0.246777
0.342137
4,127
167
120
24.712575
0.374586
0.136661
0
0.095652
0
0
0.028596
0
0
0
0
0
0
1
0.017391
false
0
0.034783
0
0.052174
0.043478
0
0
1
null
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
91f204cefc1e11f78d143865718a0720e6b49302
135
py
Python
libs/yowsup/yowsup/yowsup/layers/axolotl/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
22
2017-07-14T20:01:17.000Z
2022-03-08T14:22:39.000Z
libs/yowsup/yowsup/yowsup/layers/axolotl/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
6
2017-07-14T21:03:50.000Z
2021-06-10T19:08:32.000Z
libs/yowsup/yowsup/yowsup/layers/axolotl/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
13
2017-07-14T20:13:14.000Z
2020-11-12T08:06:05.000Z
from .layer_send import AxolotlSendLayer from .layer_control import AxolotlControlLayer from .layer_receive import AxolotlReceivelayer
33.75
46
0.888889
15
135
7.8
0.6
0.230769
0
0
0
0
0
0
0
0
0
0
0.088889
135
3
47
45
0.95122
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
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
6
62148220d3b68cf5b490d8e272125fd66f2e326e
12,455
py
Python
src/metarl/envs/multi_env_wrapper.py
icml2020submission6857/metarl
9b66cefa2b6bcb6a38096d629ce8853b47c7171d
[ "MIT" ]
2
2020-03-15T14:35:15.000Z
2021-02-15T16:38:00.000Z
src/metarl/envs/multi_env_wrapper.py
icml2020submission6857/metarl
9b66cefa2b6bcb6a38096d629ce8853b47c7171d
[ "MIT" ]
null
null
null
src/metarl/envs/multi_env_wrapper.py
icml2020submission6857/metarl
9b66cefa2b6bcb6a38096d629ce8853b47c7171d
[ "MIT" ]
1
2020-02-24T03:04:23.000Z
2020-02-24T03:04:23.000Z
"""A wrapper env that handles multiple tasks from different envs. Useful while training multi-task reinforcement learning algorithms. It provides observations augmented with one-hot representation of tasks. """ import random import akro import gym import numpy as np def round_robin_strategy(num_tasks, last_task=No...
29.305882
111
0.607226
1,529
12,455
4.71223
0.103336
0.09771
0.033033
0.039556
0.981679
0.97821
0.971686
0.971686
0.971686
0.971686
0
0.001709
0.295464
12,455
424
112
29.375
0.819373
0.640787
0
0.129412
0
0
0.014504
0
0
0
0
0
0.011765
1
0.164706
false
0
0.047059
0
0.364706
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
0
0
0
0
0
0
0
0
6
627f3994b2ade29fca362ec30f86cac34a2baa81
152
py
Python
resolver/mindeps/__init__.py
Shivansh-007/python-resolver
c44e93e0715d6d7a736db17122e6a606267329b2
[ "MIT" ]
null
null
null
resolver/mindeps/__init__.py
Shivansh-007/python-resolver
c44e93e0715d6d7a736db17122e6a606267329b2
[ "MIT" ]
null
null
null
resolver/mindeps/__init__.py
Shivansh-007/python-resolver
c44e93e0715d6d7a736db17122e6a606267329b2
[ "MIT" ]
null
null
null
# SPDX-License-Identifier: MIT from resolver.mindeps.__main__ import entrypoint, get_min_deps # noqa: F401 __all__ = ('entrypoint', 'get_min_deps')
21.714286
76
0.763158
20
152
5.2
0.8
0.25
0.307692
0.384615
0
0
0
0
0
0
0
0.022556
0.125
152
6
77
25.333333
0.759399
0.256579
0
0
0
0
0.2
0
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
6
6577dab5ac11bbb023397905f08425826f206066
176
py
Python
backend/university/admin.py
andriyandrushko0/univowl
da613316021f7b41b133b5b6e360cc6b9db60504
[ "MIT" ]
null
null
null
backend/university/admin.py
andriyandrushko0/univowl
da613316021f7b41b133b5b6e360cc6b9db60504
[ "MIT" ]
null
null
null
backend/university/admin.py
andriyandrushko0/univowl
da613316021f7b41b133b5b6e360cc6b9db60504
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import * admin.site.register(University) admin.site.register(Faculty) admin.site.register(Subject) admin.site.register(Teacher)
19.555556
32
0.8125
24
176
5.958333
0.5
0.251748
0.475524
0
0
0
0
0
0
0
0
0
0.079545
176
8
33
22
0.882716
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
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
6
659182ecb712f24f0371757649f6618c51a53b68
193
py
Python
Server/prediction/admin.py
mohanj098/Item-Price-Forecasting
14fc787ad4d9dcc6af03b43fa5e866cd254a99f5
[ "MIT" ]
null
null
null
Server/prediction/admin.py
mohanj098/Item-Price-Forecasting
14fc787ad4d9dcc6af03b43fa5e866cd254a99f5
[ "MIT" ]
2
2021-03-15T15:53:22.000Z
2021-05-03T09:32:34.000Z
Server/prediction/admin.py
mohanj098/Item-Price-Forecasting
14fc787ad4d9dcc6af03b43fa5e866cd254a99f5
[ "MIT" ]
1
2021-05-04T15:35:06.000Z
2021-05-04T15:35:06.000Z
from django.contrib import admin from prediction.models import product from prediction.models import price # Register your models here. admin.site.register(product) admin.site.register(price)
24.125
37
0.829016
27
193
5.925926
0.481481
0.175
0.25
0.325
0
0
0
0
0
0
0
0
0.103627
193
7
38
27.571429
0.924855
0.134715
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
0
0
0
6
65cdd034fed36877b4031f60332f1c40cdb5f6a5
2,224
py
Python
tools/python-mock-server/python-mock-server.py
msmagnanijr/jboss-kie-modules
1ab85aa12e70db810a4d607fb6aaa85a19bb8607
[ "Apache-2.0" ]
8
2018-07-20T02:32:39.000Z
2022-03-27T10:52:55.000Z
tools/python-mock-server/python-mock-server.py
msmagnanijr/jboss-kie-modules
1ab85aa12e70db810a4d607fb6aaa85a19bb8607
[ "Apache-2.0" ]
167
2017-12-19T14:33:35.000Z
2022-03-22T11:47:20.000Z
tools/python-mock-server/python-mock-server.py
msmagnanijr/jboss-kie-modules
1ab85aa12e70db810a4d607fb6aaa85a19bb8607
[ "Apache-2.0" ]
52
2017-12-18T13:55:24.000Z
2022-02-09T14:07:14.000Z
#!/usr/bin/python3 import os import sys from http.server import HTTPServer, BaseHTTPRequestHandler class MyHandler(BaseHTTPRequestHandler): def do_GET(self): # do not change paths if self.path == '/apis/apps.openshift.io/v1/namespaces/testNamespace/deploymentconfigs?labelSelector=services.server...
37.694915
179
0.642536
279
2,224
5.043011
0.315412
0.056859
0.079602
0.094527
0.800284
0.767591
0.767591
0.767591
0.767591
0.743426
0
0.028522
0.227518
2,224
58
180
38.344828
0.790454
0.08723
0
0.512821
0
0.076923
0.300544
0.226396
0
0
0
0
0
1
0.102564
false
0
0.076923
0
0.205128
0.025641
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
0
0
0
0
0
0
0
0
6
02a84eeec97777f61185766e05077d7532adafbc
232
py
Python
pyramda/logic/any_pass.py
sergiors/pyramda
5bf200888809b1bc946e813e29460f204bccd13e
[ "MIT" ]
124
2015-07-30T21:34:25.000Z
2022-02-19T08:45:50.000Z
pyramda/logic/any_pass.py
sergiors/pyramda
5bf200888809b1bc946e813e29460f204bccd13e
[ "MIT" ]
37
2015-08-31T23:02:20.000Z
2022-02-04T04:45:28.000Z
pyramda/logic/any_pass.py
sergiors/pyramda
5bf200888809b1bc946e813e29460f204bccd13e
[ "MIT" ]
20
2015-08-04T18:59:09.000Z
2021-12-13T08:08:59.000Z
from pyramda.function.curry import curry from pyramda.function.always import always from pyramda.iterable.reduce import reduce from .either import either @curry def any_pass(ps, v): return reduce(either, always(False), ps)(v)
23.2
47
0.784483
35
232
5.171429
0.457143
0.18232
0.209945
0
0
0
0
0
0
0
0
0
0.12931
232
9
48
25.777778
0.89604
0
0
0
0
0
0
0
0
0
0
0
0
1
0.142857
false
0.142857
0.571429
0.142857
0.857143
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
1
1
1
0
0
6
f323bb4c6d1d42af8adea82f66966d109724eba9
29,495
py
Python
api/fileupload.py
subhendu01/Audio-FIle-Server
6c7f9a093e41f0750a0a8c4c1f0e48608215c8a6
[ "MIT" ]
5
2021-05-12T18:18:49.000Z
2022-01-06T12:35:35.000Z
api/fileupload.py
subhendu01/Audio-FIle-Server
6c7f9a093e41f0750a0a8c4c1f0e48608215c8a6
[ "MIT" ]
null
null
null
api/fileupload.py
subhendu01/Audio-FIle-Server
6c7f9a093e41f0750a0a8c4c1f0e48608215c8a6
[ "MIT" ]
null
null
null
import datetime, os, base64 from flask import Flask, jsonify, request, Blueprint from dbstore import dbconf import json from bson import json_util # process kill # lsof -i tcp:3000 file_upload = Blueprint('uploadAPI', __name__) app = Flask(__name__) def song_upload(val): try: # content = request.get_j...
45.376923
137
0.398644
2,113
29,495
5.404165
0.072409
0.069884
0.032752
0.056047
0.807164
0.776513
0.707417
0.693318
0.684648
0.622646
0
0.021991
0.508188
29,495
649
138
45.446841
0.765201
0.016443
0
0.716194
0
0
0.187317
0.029914
0
0
0
0
0
1
0.011686
false
0
0.008347
0
0.043406
0.015025
0
0
0
null
0
0
0
1
1
1
0
0
1
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
b8ada7f96a8a91b1795a09283b5bb56adf3d888d
2,373
py
Python
tests/_geom/test_path_control_x_interface.py
ynsnf/apysc
b10ffaf76ec6beb187477d0a744fca00e3efc3fb
[ "MIT" ]
16
2021-04-16T02:01:29.000Z
2022-01-01T08:53:49.000Z
tests/_geom/test_path_control_x_interface.py
ynsnf/apysc
b10ffaf76ec6beb187477d0a744fca00e3efc3fb
[ "MIT" ]
613
2021-03-24T03:37:38.000Z
2022-03-26T10:58:37.000Z
tests/_geom/test_path_control_x_interface.py
simon-ritchie/apyscript
c319f8ab2f1f5f7fad8d2a8b4fc06e7195476279
[ "MIT" ]
2
2021-06-20T07:32:58.000Z
2021-12-26T08:22:11.000Z
from random import randint from retrying import retry import apysc as ap from apysc._geom.path_control_x_interface import PathControlXInterface class TestPathControlXInterface: @retry(stop_max_attempt_number=15, wait_fixed=randint(10, 3000)) def test_control_x(self) -> None: interface: ...
43.944444
78
0.728614
283
2,373
5.681979
0.190813
0.099502
0.126866
0.056592
0.847637
0.825249
0.804104
0.77301
0.77301
0.758706
0
0.03283
0.191319
2,373
53
79
44.773585
0.805107
0
0
0.642857
0
0
0.003879
0
0
0
0
0
0.166667
1
0.119048
false
0
0.095238
0
0.238095
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
0
0
0
0
0
0
0
0
6
a2595f5495569bfb18a30651ccf4bc3e61dec9b6
35
py
Python
analysis/Leo/scripts/__init__.py
data301-2020-winter2/course-project-group_1039
26d661a543ce9dcea61f579f9edbcde88543e7c3
[ "MIT" ]
1
2021-02-09T02:13:23.000Z
2021-02-09T02:13:23.000Z
analysis/Leo/scripts/__init__.py
data301-2020-winter2/course-project-group_1039
26d661a543ce9dcea61f579f9edbcde88543e7c3
[ "MIT" ]
31
2021-02-02T17:03:39.000Z
2021-04-13T03:22:16.000Z
analysis/Leo/scripts/__init__.py
data301-2020-winter2/course-project-group_1039
26d661a543ce9dcea61f579f9edbcde88543e7c3
[ "MIT" ]
1
2021-03-14T05:56:16.000Z
2021-03-14T05:56:16.000Z
import scripts.project_functions
8.75
32
0.857143
4
35
7.25
1
0
0
0
0
0
0
0
0
0
0
0
0.114286
35
3
33
11.666667
0.935484
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a265970c825b69a6bcc7be605b442dbeced8128f
9,491
py
Python
app/jobHistory/migrations/0003_auto_20190804_1403.py
stephengtuggy/job-history
5c4931ff7b594494a687da0253262c7fc46f8b13
[ "MIT" ]
2
2020-01-18T00:39:35.000Z
2020-01-18T02:03:26.000Z
app/jobHistory/migrations/0003_auto_20190804_1403.py
stephengtuggy/job-history
5c4931ff7b594494a687da0253262c7fc46f8b13
[ "MIT" ]
18
2020-08-07T23:22:37.000Z
2021-06-10T18:38:42.000Z
app/jobHistory/migrations/0003_auto_20190804_1403.py
stephengtuggy/job-history
5c4931ff7b594494a687da0253262c7fc46f8b13
[ "MIT" ]
null
null
null
# Generated by Django 2.2.4 on 2019-08-04 21:03 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('jobHistory', '0002_auto_20190106_0202'), ] operations = [ migrations.AlterField( model_name='em...
40.387234
132
0.603624
912
9,491
6.080044
0.105263
0.158702
0.198377
0.230117
0.871776
0.858251
0.769702
0.482597
0.398918
0.354914
0
0.016338
0.284164
9,491
234
133
40.559829
0.799823
0.004741
0
0.596491
1
0
0.19568
0.034519
0
0
0
0
0
1
0
false
0
0.008772
0
0.02193
0
0
0
0
null
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
a2c1f4bdfbf091de32f73f29f4fe1cc1d9bf86e8
2,081
py
Python
01 Dimensionality Reduction/Tutorial 03 - Unsupervised nonlinear embedding/isomap/dijkstra.py
KateYeon/Business-Anlaytics
454c1cb1b88499e94eeb5e8a7a32309afb7165e5
[ "MIT" ]
null
null
null
01 Dimensionality Reduction/Tutorial 03 - Unsupervised nonlinear embedding/isomap/dijkstra.py
KateYeon/Business-Anlaytics
454c1cb1b88499e94eeb5e8a7a32309afb7165e5
[ "MIT" ]
null
null
null
01 Dimensionality Reduction/Tutorial 03 - Unsupervised nonlinear embedding/isomap/dijkstra.py
KateYeon/Business-Anlaytics
454c1cb1b88499e94eeb5e8a7a32309afb7165e5
[ "MIT" ]
null
null
null
class Graph(object): """ A simple undirected, weighted graph """ def __init__(self): self.nodes = set() self.edges = {} self.distances = {} def add_node(self, value): self.nodes.add(value) def add_edge(self, from_node, to_node, distance): ...
26.341772
60
0.537242
254
2,081
4.192913
0.169291
0.131455
0.037559
0.052582
0.777465
0.756808
0.756808
0.756808
0.719249
0.719249
0
0.002317
0.377703
2,081
78
61
26.679487
0.820077
0.016819
0
0.703704
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0
0
0.166667
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
a2d7927bd74ff2bc70037658a7110cb4dffa918c
43
py
Python
rcds/project/__init__.py
jordanbertasso/rcds
d3d655a59a350042d65476793db84e761de04829
[ "BSD-3-Clause" ]
5
2020-07-13T12:40:02.000Z
2021-08-21T11:18:28.000Z
rcds/project/__init__.py
jordanbertasso/rcds
d3d655a59a350042d65476793db84e761de04829
[ "BSD-3-Clause" ]
144
2020-07-06T11:26:49.000Z
2022-02-01T14:33:28.000Z
rcds/project/__init__.py
jordanbertasso/rcds
d3d655a59a350042d65476793db84e761de04829
[ "BSD-3-Clause" ]
7
2020-07-22T12:38:32.000Z
2021-12-21T14:27:54.000Z
from .project import Project # noqa: F401
21.5
42
0.744186
6
43
5.333333
0.833333
0
0
0
0
0
0
0
0
0
0
0.085714
0.186047
43
1
43
43
0.828571
0.232558
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a2ff595beb35cc3bf63e8eee3f852f028caee135
55,499
py
Python
pipelines/head-pose-pipeline/training/models.py
tonouchi510/kfp-project
67b78ae53cc3de594b8254999a4f553a8d5cec27
[ "MIT" ]
null
null
null
pipelines/head-pose-pipeline/training/models.py
tonouchi510/kfp-project
67b78ae53cc3de594b8254999a4f553a8d5cec27
[ "MIT" ]
null
null
null
pipelines/head-pose-pipeline/training/models.py
tonouchi510/kfp-project
67b78ae53cc3de594b8254999a4f553a8d5cec27
[ "MIT" ]
null
null
null
import sys import logging import numpy as np import tensorflow as tf from tensorflow.keras import backend as K from capsulelayers import CapsuleLayer from capsulelayers import MatMulLayer from loupe_keras import NetVLAD sys.setrecursionlimit(2**20) np.random.seed(2**10) # Custom layers # Note - Usage of Lambda layer...
40.658608
131
0.568479
7,361
55,499
3.977585
0.038038
0.077462
0.138085
0.035657
0.857645
0.817207
0.779979
0.746883
0.723932
0.706923
0
0.036721
0.25514
55,499
1,364
132
40.688416
0.671545
0.083065
0
0.579792
0
0
0.027921
0.001181
0
0
0
0.000733
0
1
0.062323
false
0
0.007554
0.00661
0.1322
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
0
0
0
0
0
0
0
0
6
ac1d0576b9d96127b532e1ac5e9548932d7f9611
39
py
Python
pwas/__init__.py
cgreencode/pwas
e65901e115491ad9661832c7b622b01b1e81c934
[ "MIT" ]
19
2020-06-22T02:39:25.000Z
2022-02-21T14:37:33.000Z
pwas/__init__.py
cgreencode/pwas
e65901e115491ad9661832c7b622b01b1e81c934
[ "MIT" ]
5
2020-09-28T11:26:01.000Z
2021-05-06T15:34:16.000Z
pwas/__init__.py
cgreencode/pwas
e65901e115491ad9661832c7b622b01b1e81c934
[ "MIT" ]
4
2020-06-25T18:19:58.000Z
2022-01-29T04:02:20.000Z
from .genotype import GenotypingManager
39
39
0.897436
4
39
8.75
1
0
0
0
0
0
0
0
0
0
0
0
0.076923
39
1
39
39
0.972222
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
ac3fd84e905bc1166a7d4dcb6bd2d1a33b2c8e12
148
py
Python
textutils/pages/views.py
sohanur-shanto/Django-Play-With-Text
e81177c22e409a584daebd8a826e2aaee14fb59c
[ "BSD-3-Clause-Attribution" ]
2
2021-04-09T12:54:26.000Z
2021-04-10T07:36:22.000Z
textutils/pages/views.py
sohanur-shanto/Django-Play-With-Text
e81177c22e409a584daebd8a826e2aaee14fb59c
[ "BSD-3-Clause-Attribution" ]
null
null
null
textutils/pages/views.py
sohanur-shanto/Django-Play-With-Text
e81177c22e409a584daebd8a826e2aaee14fb59c
[ "BSD-3-Clause-Attribution" ]
null
null
null
from django.http import HttpResponse from django.shortcuts import render def funwithmath(request): return render (request, 'funwithmath.html')
24.666667
47
0.797297
18
148
6.555556
0.666667
0.169492
0
0
0
0
0
0
0
0
0
0
0.128378
148
6
47
24.666667
0.914729
0
0
0
0
0
0.107383
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
6
3bc5e3ab47f6373dad23233f3b3391f39ba91b96
10,341
py
Python
tests/api/test_predict.py
mldock/mldock
314b733e4f0102321727f8b145fc276486ecad85
[ "Apache-2.0" ]
2
2021-07-12T13:51:21.000Z
2021-07-19T08:40:02.000Z
tests/api/test_predict.py
mldock/mldock
314b733e4f0102321727f8b145fc276486ecad85
[ "Apache-2.0" ]
41
2021-06-28T11:05:20.000Z
2022-03-13T13:48:50.000Z
tests/api/test_predict.py
mldock/mldock
314b733e4f0102321727f8b145fc276486ecad85
[ "Apache-2.0" ]
1
2021-07-17T19:07:06.000Z
2021-07-17T19:07:06.000Z
"""Test Predict API calls""" import io from PIL import Image from dataclasses import dataclass import tempfile from pathlib import Path import pytest from mock import patch from mldock.api.predict import send_image_jpeg, send_csv, send_json, handle_prediction import responses import requests @pytest.fixture def image...
35.782007
86
0.579634
1,010
10,341
5.667327
0.128713
0.061146
0.056604
0.047519
0.87037
0.857617
0.856219
0.828616
0.819881
0.77935
0
0.009142
0.322986
10,341
288
87
35.90625
0.808456
0.008413
0
0.668122
0
0
0.218998
0.060215
0
0
0
0
0.043668
1
0.052402
false
0
0.043668
0.004367
0.131004
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
0
0
0
0
0
0
0
0
6
3bd9caeeddf847dd9546e4e833234ce3cce7f394
28
py
Python
patton_server/service/__init__.py
directionless/patton-server
da39cb8b09029dbcf4edd5c78abb150dc53e8ebe
[ "Apache-2.0" ]
null
null
null
patton_server/service/__init__.py
directionless/patton-server
da39cb8b09029dbcf4edd5c78abb150dc53e8ebe
[ "Apache-2.0" ]
null
null
null
patton_server/service/__init__.py
directionless/patton-server
da39cb8b09029dbcf4edd5c78abb150dc53e8ebe
[ "Apache-2.0" ]
null
null
null
from .make_web_app import *
14
27
0.785714
5
28
4
1
0
0
0
0
0
0
0
0
0
0
0
0.142857
28
1
28
28
0.833333
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6