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
71dd434a3adaa696a17ec425e131077b6639bbec
2,995
py
Python
Chapter_4/lists_data_type.py
alenasf/AutomateTheBoringStuff
041e56221eb98d9893c24d22497034e6344c0490
[ "Apache-2.0" ]
null
null
null
Chapter_4/lists_data_type.py
alenasf/AutomateTheBoringStuff
041e56221eb98d9893c24d22497034e6344c0490
[ "Apache-2.0" ]
null
null
null
Chapter_4/lists_data_type.py
alenasf/AutomateTheBoringStuff
041e56221eb98d9893c24d22497034e6344c0490
[ "Apache-2.0" ]
null
null
null
#Negative Indexes spam = ['cat', 'bat', 'rat', 'elephant'] spam[-1] # elepant spam[-3] # bat # Getting a List from another List with Slices spam = ['cat', 'bat', 'rat', 'elephant'] spam[0:4] # ['cat', 'bat', 'rat', 'elephant'] spam[1:3] # ['bat', 'rat'] spam[0:-1] # ['cat', 'bat', 'rat'] spam[:2] # ['cat', 'bat'] spa...
26.043478
94
0.600334
452
2,995
3.977876
0.269912
0.047275
0.050056
0.05673
0.267519
0.228587
0.147942
0.119021
0.048943
0.038932
0
0.023026
0.18798
2,995
114
95
26.27193
0.716283
0.435058
0
0.347826
0
0
0.228623
0
0
0
0
0
0
1
0
false
0
0.028986
0
0.028986
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
71dfbd47e154641ea34b44a5f3aa8459312d608f
3,268
py
Python
qemu/scripts/codeconverter/codeconverter/test_patching.py
hyunjoy/scripts
01114d3627730d695b5ebe61093c719744432ffa
[ "Apache-2.0" ]
44
2022-03-16T08:32:31.000Z
2022-03-31T16:02:35.000Z
qemu/scripts/codeconverter/codeconverter/test_patching.py
hyunjoy/scripts
01114d3627730d695b5ebe61093c719744432ffa
[ "Apache-2.0" ]
1
2022-03-29T02:30:28.000Z
2022-03-30T03:40:46.000Z
qemu/scripts/codeconverter/codeconverter/test_patching.py
hyunjoy/scripts
01114d3627730d695b5ebe61093c719744432ffa
[ "Apache-2.0" ]
18
2022-03-19T04:41:04.000Z
2022-03-31T03:32:12.000Z
# Copyright (C) 2020 Red Hat Inc. # # Authors: # Eduardo Habkost <ehabkost@redhat.com> # # This work is licensed under the terms of the GNU GPL, version 2. See # the COPYING file in the top-level directory. from tempfile import NamedTemporaryFile from .patching import FileInfo, FileMatch, Patch, FileList from .regexp...
31.12381
71
0.597613
408
3,268
4.723039
0.340686
0.056046
0.046705
0.069019
0.265179
0.213285
0.137519
0.11261
0.079398
0.046705
0
0.031879
0.270502
3,268
104
72
31.423077
0.776426
0.097001
0
0.2
0
0
0.163265
0
0
0
0
0
0.25
1
0.05
false
0
0.0375
0.025
0.1875
0.0125
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
71e063f198be6d799932aa28d7e46247d3e2c98f
634
py
Python
Traversy Media/Python Django Dev to Deployment/Python Fundamentals/Tuples and Sets.py
Anim-101/CourseHub
570ddc2bca794c14921991d24fdf1b4a7d0beb68
[ "MIT" ]
3
2019-11-01T17:07:13.000Z
2020-04-01T10:27:05.000Z
Traversy Media/Python Django Dev to Deployment/Python Fundamentals/Tuples and Sets.py
Anim-101/CourseHub
570ddc2bca794c14921991d24fdf1b4a7d0beb68
[ "MIT" ]
18
2020-08-10T05:11:24.000Z
2021-12-03T15:13:40.000Z
Traversy Media/Python Django Dev to Deployment/Python Fundamentals/Tuples and Sets.py
Anim-101/CourseHub
570ddc2bca794c14921991d24fdf1b4a7d0beb68
[ "MIT" ]
null
null
null
# # Simple Tuple # fruits = ('Apple', 'Orange', 'Mango') # # Using Constructor # fruits = tuple(('Apple', 'Orange', 'Mango')) # # Getting a Single Value # print(fruits[1]) # Trying to change based on position # fruits[1] = 'Grape' # Tuples with one value should have trailing comma # fruits = ('Apple') # fruits = ('...
16.25641
50
0.652997
85
634
4.870588
0.517647
0.10628
0.115942
0.10628
0
0
0
0
0
0
0
0.003846
0.179811
634
38
51
16.684211
0.792308
0.664038
0
0
0
0
0.193548
0
0
0
0
0
0
1
0
false
0
0
0
0
0.285714
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
71e0e6976164ccf999455f35ac70c3e13a0fe3ef
20,146
py
Python
nerblackbox/modules/ner_training/metrics/ner_metrics.py
flxst/nerblackbox
7612b95850e637be258f6bfb01274453b7372f99
[ "Apache-2.0" ]
null
null
null
nerblackbox/modules/ner_training/metrics/ner_metrics.py
flxst/nerblackbox
7612b95850e637be258f6bfb01274453b7372f99
[ "Apache-2.0" ]
null
null
null
nerblackbox/modules/ner_training/metrics/ner_metrics.py
flxst/nerblackbox
7612b95850e637be258f6bfb01274453b7372f99
[ "Apache-2.0" ]
null
null
null
from dataclasses import dataclass from dataclasses import asdict from typing import List, Tuple, Callable import numpy as np from sklearn.metrics import accuracy_score as accuracy_sklearn from sklearn.metrics import precision_score as precision_sklearn from sklearn.metrics import recall_score as recall_sklearn from sk...
36.299099
116
0.538469
1,971
20,146
5.236936
0.090309
0.097655
0.027902
0.021798
0.663244
0.594943
0.529258
0.461442
0.391106
0.338016
0
0.005834
0.378934
20,146
554
117
36.364621
0.819134
0.162762
0
0.503704
0
0
0.040738
0.005185
0
0
0
0
0.014815
1
0.037037
false
0
0.037037
0.002469
0.128395
0.007407
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
71e128bd284f8fc2eb997551cf3f8ee9632b562a
2,192
py
Python
Assignments/hw4/rank_feat_by_chi_square.py
spacemanidol/CLMS572
f0380de9912c984ec21607cdb3b1f190853c5ca8
[ "MIT" ]
null
null
null
Assignments/hw4/rank_feat_by_chi_square.py
spacemanidol/CLMS572
f0380de9912c984ec21607cdb3b1f190853c5ca8
[ "MIT" ]
null
null
null
Assignments/hw4/rank_feat_by_chi_square.py
spacemanidol/CLMS572
f0380de9912c984ec21607cdb3b1f190853c5ca8
[ "MIT" ]
1
2020-12-26T01:28:41.000Z
2020-12-26T01:28:41.000Z
import sys def readInput(): labels, features, all_features, labelCount = [], [], [], {} l = sys.stdin.readline().strip().split(' ') while len(l)> 1: label = l[0] if label not in labelCount: labelCount[label] = 0 labelCount[label] += 1 labels.append(label) ...
56.205128
323
0.656022
242
2,192
5.884298
0.322314
0.073736
0.058989
0.033708
0.037921
0.037921
0
0
0
0
0
0.009884
0.215328
2,192
39
324
56.205128
0.818023
0.102646
0
0.102564
0
0
0.011723
0
0
0
0
0
0
1
0.051282
false
0
0.025641
0
0.102564
0.025641
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e07b1d529111d4e2e89b3b1cd2c58ff9446e312f
6,642
py
Python
fem/fem.py
Pengeace/DGP-PDE-FEM
64b7f42ca7083b05f05c42baa6cad21084068d8c
[ "MIT" ]
7
2019-06-26T07:25:33.000Z
2021-06-25T03:40:22.000Z
fem/fem.py
Pengeace/DGP-PDE-FEM
64b7f42ca7083b05f05c42baa6cad21084068d8c
[ "MIT" ]
null
null
null
fem/fem.py
Pengeace/DGP-PDE-FEM
64b7f42ca7083b05f05c42baa6cad21084068d8c
[ "MIT" ]
null
null
null
import numpy as np import pyamg from scipy import sparse from scipy.spatial import Delaunay from linsolver import sparse_solver from triangulation.delaunay import delaunay class Element: def __init__(self, points, global_indexes, fem): self.points = np.array(points) self.global_indexes = global_i...
40.012048
141
0.643029
839
6,642
4.79857
0.174017
0.086935
0.117983
0.124193
0.419771
0.316195
0.197466
0.140089
0.140089
0.137109
0
0.009333
0.257904
6,642
165
142
40.254545
0.807466
0.116983
0
0.133929
0
0
0.007881
0
0
0
0
0
0
1
0.133929
false
0
0.053571
0
0.223214
0.008929
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e07c0e48507e0965db82bd0823c76af3d0ebb993
2,745
py
Python
custom_components/tahoma/climate_devices/dimmer_exterior_heating.py
MatthewFlamm/ha-tahoma
794e8e4a54a8e5f55622b88bb1ab5ffc3ecb0d1b
[ "MIT" ]
null
null
null
custom_components/tahoma/climate_devices/dimmer_exterior_heating.py
MatthewFlamm/ha-tahoma
794e8e4a54a8e5f55622b88bb1ab5ffc3ecb0d1b
[ "MIT" ]
null
null
null
custom_components/tahoma/climate_devices/dimmer_exterior_heating.py
MatthewFlamm/ha-tahoma
794e8e4a54a8e5f55622b88bb1ab5ffc3ecb0d1b
[ "MIT" ]
null
null
null
"""Support for Atlantic Electrical Heater IO controller.""" import logging from typing import List from homeassistant.components.climate import ClimateEntity from homeassistant.components.climate.const import ( HVAC_MODE_HEAT, HVAC_MODE_OFF, SUPPORT_TARGET_TEMPERATURE, ) from homeassistant.const import ATT...
31.918605
82
0.687796
326
2,745
5.515337
0.288344
0.053393
0.026696
0.046719
0.159622
0.159622
0.143493
0.107898
0.107898
0.107898
0
0.009381
0.223315
2,745
85
83
32.294118
0.833959
0.146448
0
0.196429
0
0
0.013914
0
0
0
0
0
0
1
0.142857
false
0
0.125
0
0.446429
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e07c5c23f946a28e4cc418a3bd4c6debbb0d6123
3,271
py
Python
elit/components/mtl/attn/joint_encoder.py
emorynlp/stem-cell-hypothesis
48a628093d93d653865fbac6409d179cddd99293
[ "Apache-2.0" ]
4
2021-09-17T15:23:31.000Z
2022-02-28T10:18:04.000Z
elit/components/mtl/attn/joint_encoder.py
emorynlp/stem-cell-hypothesis
48a628093d93d653865fbac6409d179cddd99293
[ "Apache-2.0" ]
null
null
null
elit/components/mtl/attn/joint_encoder.py
emorynlp/stem-cell-hypothesis
48a628093d93d653865fbac6409d179cddd99293
[ "Apache-2.0" ]
null
null
null
# -*- coding:utf-8 -*- # Author: hankcs # Date: 2021-03-02 13:32 from typing import Optional, Union, Dict, Any import torch from torch import nn from transformers import PreTrainedTokenizer from elit.components.mtl.attn.attn import TaskAttention from elit.components.mtl.attn.transformer import JointEncoder from elit....
53.622951
120
0.63956
327
3,271
6.134557
0.345566
0.027916
0.042373
0.026919
0.107677
0.037886
0.037886
0.037886
0
0
0
0.006905
0.291654
3,271
60
121
54.516667
0.858869
0.025986
0
0
0
0
0.045269
0.022634
0
0
0
0
0
1
0.065217
false
0
0.195652
0.021739
0.347826
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e07ce9c764d3c52f1697472892d9c4a14a2d9b6a
5,140
py
Python
jaxrl/agents/sac_v1/sac_v1_learner.py
anuragajay/jaxrl
a37414aea9e281f19719ccfc09702b32e1ef4e44
[ "MIT" ]
157
2021-03-12T04:30:53.000Z
2021-06-10T11:28:48.000Z
jaxrl/agents/sac_v1/sac_v1_learner.py
anuragajay/jaxrl
a37414aea9e281f19719ccfc09702b32e1ef4e44
[ "MIT" ]
3
2021-09-23T21:13:28.000Z
2021-11-19T12:32:34.000Z
jaxrl/agents/sac_v1/sac_v1_learner.py
anuragajay/jaxrl
a37414aea9e281f19719ccfc09702b32e1ef4e44
[ "MIT" ]
17
2021-06-15T13:38:35.000Z
2022-03-17T15:25:23.000Z
"""Implementations of algorithms for continuous control.""" import functools from typing import Optional, Sequence, Tuple import jax import jax.numpy as jnp import numpy as np import optax from jaxrl.agents.sac import temperature from jaxrl.agents.sac.actor import update as update_actor from jaxrl.agents.sac.critic ...
35.694444
107
0.596887
604
5,140
4.865894
0.195364
0.052399
0.023818
0.024498
0.139163
0.106499
0.106499
0.06805
0.06805
0.033345
0
0.012799
0.315953
5,140
143
108
35.944056
0.823094
0.029767
0
0.055556
0
0
0.004034
0
0
0
0
0
0
1
0.037037
false
0
0.12037
0
0.194444
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e07d1faf3d069567748feca41784098709e225b2
1,143
py
Python
quick_pandas.py
chenmich/google-ml-crash-course-exercises
d610f890d53b1537a3ce80531ce1ff2df1f5dc84
[ "MIT" ]
null
null
null
quick_pandas.py
chenmich/google-ml-crash-course-exercises
d610f890d53b1537a3ce80531ce1ff2df1f5dc84
[ "MIT" ]
null
null
null
quick_pandas.py
chenmich/google-ml-crash-course-exercises
d610f890d53b1537a3ce80531ce1ff2df1f5dc84
[ "MIT" ]
null
null
null
import pandas as pd print(pd.__version__) city_names = pd.Series(['San Francisco', 'San Jose', 'Sacramento']) population = pd.Series([852469, 1015785, 485199]) #city_population_table = pd.DataFrame(({'City name': city_names, 'Population': population})) california_houseing_dataframe = pd.read_csv("https://storage.google...
40.821429
130
0.750656
159
1,143
5.251572
0.408805
0.092216
0.129341
0.045509
0.201198
0.11497
0.11497
0.11497
0
0
0
0.047214
0.073491
1,143
28
131
40.821429
0.741265
0.366579
0
0
0
0
0.26264
0
0
0
0
0
0
1
0
false
0
0.133333
0
0.133333
0.266667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e081143f3b7d183dce44c075a5350bb5aba51e51
797
py
Python
backend/app/main.py
ianahart/blog
fc52e15a8b56bd4c6482065de7e21f8b31f5d765
[ "MIT" ]
null
null
null
backend/app/main.py
ianahart/blog
fc52e15a8b56bd4c6482065de7e21f8b31f5d765
[ "MIT" ]
null
null
null
backend/app/main.py
ianahart/blog
fc52e15a8b56bd4c6482065de7e21f8b31f5d765
[ "MIT" ]
null
null
null
from fastapi import FastAPI from dotenv import load_dotenv from fastapi.middleware.cors import CORSMiddleware from app.api.api_v1.api import api_router from app.core.config import settings app = FastAPI() load_dotenv() app.include_router(api_router, prefix=settings.API_V1_STR) # Set all CORS enabled origins if sett...
27.482759
68
0.711418
103
797
5.252427
0.504854
0.011091
0.07024
0.096118
0
0
0
0
0
0
0
0.015625
0.196989
797
28
69
28.464286
0.829688
0.130489
0
0
0
0
0.03193
0
0
0
0
0
0
1
0
false
0
0.3
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e083bd5dc380bfdfeec4ef47f0529d4de1bded9d
658
py
Python
test_data/samples/alembic_template_output.py
goldstar611/ssort
05c35ec89dd9ff391ae824c17ed974340e2f5597
[ "MIT" ]
238
2021-04-25T11:45:54.000Z
2022-03-30T10:49:58.000Z
test_data/samples/alembic_template_output.py
goldstar611/ssort
05c35ec89dd9ff391ae824c17ed974340e2f5597
[ "MIT" ]
54
2021-03-29T21:40:00.000Z
2022-03-29T20:26:31.000Z
test_data/samples/alembic_template_output.py
goldstar611/ssort
05c35ec89dd9ff391ae824c17ed974340e2f5597
[ "MIT" ]
4
2022-02-09T02:37:11.000Z
2022-02-23T03:07:50.000Z
"""Example revision Revision ID: fdf0cf6487a3 Revises: Create Date: 2021-08-09 17:55:19.491713 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = "fdf0cf6487a3" down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto ge...
20.5625
65
0.668693
79
658
5.493671
0.582278
0.062212
0.096774
0.105991
0.202765
0.202765
0.202765
0.202765
0
0
0
0.061069
0.203647
658
31
66
21.225806
0.767176
0.433131
0
0
0
0
0.122024
0
0
0
0
0
0
1
0.153846
false
0
0.153846
0
0.307692
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e085ecf717371ed12e23c9cc1a56cd7685b27bf6
790
py
Python
.archived/snakecode/0173.py
gearbird/calgo
ab48357100de2a5ea47fda2d9f01ced6dc73fa79
[ "MIT" ]
4
2022-01-13T03:39:01.000Z
2022-03-15T03:16:33.000Z
.archived/snakecode/0173.py
gearbird/calgo
ab48357100de2a5ea47fda2d9f01ced6dc73fa79
[ "MIT" ]
null
null
null
.archived/snakecode/0173.py
gearbird/calgo
ab48357100de2a5ea47fda2d9f01ced6dc73fa79
[ "MIT" ]
1
2021-12-09T12:33:07.000Z
2021-12-09T12:33:07.000Z
from __future__ import annotations from typing import Optional # Definition for a binary tree node. class TreeNode: def __init__(self, val: int = 0, left: Optional[TreeNode] = None, right: Optional[TreeNode] = None): self.val = val self.left = left self.right = right class BSTIterator: ...
27.241379
104
0.606329
99
790
4.717172
0.424242
0.089936
0.094218
0.068522
0
0
0
0
0
0
0
0.003559
0.288608
790
28
105
28.214286
0.827402
0.043038
0
0
0
0
0
0
0
0
0
0
0
1
0.181818
false
0
0.090909
0
0.454545
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e08673d5cfeabd8f8dd35fbf0c18643dc03a42fd
1,933
py
Python
test/msan/lit.cfg.py
QuarkTheAwesome/compiler-rt-be-aeabi
79e7d2bd981b0f38d60d90f8382c6cd5389b95d0
[ "Apache-2.0" ]
118
2016-02-29T01:55:45.000Z
2021-11-08T09:47:46.000Z
test/msan/lit.cfg.py
QuarkTheAwesome/compiler-rt-be-aeabi
79e7d2bd981b0f38d60d90f8382c6cd5389b95d0
[ "Apache-2.0" ]
27
2016-06-20T23:47:01.000Z
2019-10-25T17:41:37.000Z
test/msan/lit.cfg.py
QuarkTheAwesome/compiler-rt-be-aeabi
79e7d2bd981b0f38d60d90f8382c6cd5389b95d0
[ "Apache-2.0" ]
73
2016-03-01T00:50:56.000Z
2021-12-05T03:30:35.000Z
# -*- Python -*- import os # Setup config name. config.name = 'MemorySanitizer' + getattr(config, 'name_suffix', 'default') # Setup source root. config.test_source_root = os.path.dirname(__file__) # Setup default compiler flags used with -fsanitize=memory option. clang_msan_cflags = (["-fsanitize=memory", ...
40.270833
88
0.685463
239
1,933
5.351464
0.460251
0.049257
0.097733
0.037529
0.173573
0.129789
0.129789
0
0
0
0
0.006341
0.18417
1,933
47
89
41.12766
0.804692
0.253492
0
0.148148
0
0
0.227654
0.071229
0
0
0
0
0
1
0.037037
false
0
0.037037
0.037037
0.111111
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e087918e3b0a051f5fa5fa67e1527b89fc1bd61b
9,606
py
Python
dataschema/entity.py
vingkan/sql_tools
5d6ab6a0ae31dc51e51ac1629f83f7bbf91396c1
[ "Apache-2.0" ]
1
2022-03-30T19:47:16.000Z
2022-03-30T19:47:16.000Z
dataschema/entity.py
vingkan/sql_tools
5d6ab6a0ae31dc51e51ac1629f83f7bbf91396c1
[ "Apache-2.0" ]
null
null
null
dataschema/entity.py
vingkan/sql_tools
5d6ab6a0ae31dc51e51ac1629f83f7bbf91396c1
[ "Apache-2.0" ]
1
2022-03-30T04:07:12.000Z
2022-03-30T04:07:12.000Z
# # nuna_sql_tools: Copyright 2022 Nuna Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...
36.249057
80
0.636581
1,162
9,606
4.907917
0.185886
0.098194
0.029458
0.013677
0.256707
0.182185
0.095388
0.0761
0.052955
0.052955
0
0.003849
0.269727
9,606
264
81
36.386364
0.809123
0.169686
0
0.233696
0
0
0.142187
0.026509
0
0
0
0
0
1
0.125
false
0
0.027174
0.021739
0.353261
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e089b61952e1f4d0f2fb6443737c623fe7ff04be
10,577
py
Python
jaxline/utils_test.py
lorenrose1013/jaxline
29fca9944651d42139d4103fe12ef29b24812eb6
[ "Apache-2.0" ]
1
2022-01-07T02:44:07.000Z
2022-01-07T02:44:07.000Z
jaxline/utils_test.py
SuperXiang/jaxline
f1503f6a06d46aa9eb2eab8eed6130895148ffa2
[ "Apache-2.0" ]
null
null
null
jaxline/utils_test.py
SuperXiang/jaxline
f1503f6a06d46aa9eb2eab8eed6130895148ffa2
[ "Apache-2.0" ]
null
null
null
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
32.345566
80
0.681573
1,411
10,577
4.924167
0.213324
0.025331
0.025907
0.025907
0.450921
0.382412
0.337939
0.288716
0.266983
0.256908
0
0.006381
0.185024
10,577
326
81
32.444785
0.799652
0.174246
0
0.354067
0
0
0.052894
0.013773
0
0
0
0
0.181818
1
0.162679
false
0.004785
0.047847
0
0.253589
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e08cc87c4cfc35f91dfef4447a5dc8af61c7fede
545
py
Python
problems/108.py
mengshun/Leetcode
8bb676f2fff093e1417a4bed13d9ad708149be78
[ "MIT" ]
null
null
null
problems/108.py
mengshun/Leetcode
8bb676f2fff093e1417a4bed13d9ad708149be78
[ "MIT" ]
null
null
null
problems/108.py
mengshun/Leetcode
8bb676f2fff093e1417a4bed13d9ad708149be78
[ "MIT" ]
null
null
null
""" 108. 将有序数组转换为二叉搜索树 """ from TreeNode import TreeNode class Solution: def sortedArrayToBST(self, nums: [int]) -> TreeNode: def dfs(left, right): if left > right: return None mid = left + (right - left) // 2 root = TreeNode(nums[mid]) roo...
18.793103
56
0.543119
66
545
4.484848
0.484848
0.091216
0
0
0
0
0
0
0
0
0
0.038043
0.324771
545
28
57
19.464286
0.766304
0.033028
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0.0625
0
0.4375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e091211c57418837730aea76bfdd4d9fd710e048
1,978
py
Python
src/riotwatcher/riotwatcher.py
TheBoringBakery/Riot-Watcher
6e05fffe127530a75fd63e67da37ba81489fd4fe
[ "MIT" ]
2
2020-10-06T23:33:01.000Z
2020-11-22T01:58:43.000Z
src/riotwatcher/riotwatcher.py
TheBoringBakery/Riot-Watcher
6e05fffe127530a75fd63e67da37ba81489fd4fe
[ "MIT" ]
null
null
null
src/riotwatcher/riotwatcher.py
TheBoringBakery/Riot-Watcher
6e05fffe127530a75fd63e67da37ba81489fd4fe
[ "MIT" ]
null
null
null
from .Deserializer import Deserializer from .RateLimiter import RateLimiter from .Handlers import ( DeprecationHandler, DeserializerAdapter, DictionaryDeserializer, RateLimiterAdapter, ThrowOnErrorHandler, TypeCorrectorHandler, ) from .Handlers.RateLimit import BasicRateLimiter from ._apis imp...
31.396825
104
0.637513
190
1,978
6.521053
0.410526
0.029056
0.016142
0.025827
0
0
0
0
0
0
0
0
0.303337
1,978
62
105
31.903226
0.899129
0.35996
0
0
0
0
0.017544
0
0
0
0
0
0
1
0.057143
false
0
0.171429
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e09178ade395a6b6c4b0853c972ab7664e0aa556
4,175
py
Python
webots_ros2_core/webots_ros2_core/devices/gps_device.py
TaoYibo1866/webots_ros2
a72c164825663cebbfd27e0649ea51d3abf9bbed
[ "Apache-2.0" ]
176
2019-09-06T07:02:05.000Z
2022-03-27T12:41:10.000Z
webots_ros2_core/webots_ros2_core/devices/gps_device.py
TaoYibo1866/webots_ros2
a72c164825663cebbfd27e0649ea51d3abf9bbed
[ "Apache-2.0" ]
308
2019-08-20T12:56:23.000Z
2022-03-29T09:49:22.000Z
webots_ros2_core/webots_ros2_core/devices/gps_device.py
omichel/webots_ros2
5b59d0b1fbeff4c3f75a447bd152c10853f4691b
[ "Apache-2.0" ]
67
2019-11-03T00:58:09.000Z
2022-03-18T07:11:28.000Z
# Copyright 1996-2021 Cyberbotics Ltd. # # 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...
37.954545
84
0.648144
492
4,175
5.247967
0.359756
0.040279
0.046476
0.048799
0.268784
0.224632
0.091402
0.037955
0.037955
0.037955
0
0.013789
0.270419
4,175
109
85
38.302752
0.833881
0.324072
0
0.267857
0
0
0.005138
0
0
0
0
0
0
1
0.035714
false
0
0.107143
0
0.196429
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e091f0178c86f87d30aea273c60c55d5d07a1bdf
24,241
py
Python
players/jeff.py
jtreim/cant-stop
0ef1a2da67e4232a4ad2be150e950e8f1914a851
[ "MIT" ]
null
null
null
players/jeff.py
jtreim/cant-stop
0ef1a2da67e4232a4ad2be150e950e8f1914a851
[ "MIT" ]
null
null
null
players/jeff.py
jtreim/cant-stop
0ef1a2da67e4232a4ad2be150e950e8f1914a851
[ "MIT" ]
2
2020-12-29T21:30:54.000Z
2021-01-02T05:23:23.000Z
from .player import Player class JeffPlayer(Player): """ JeffPlayer focuses on the odds for continuing turns. To pick which move, calculates a move value based on odds of continued turns, moving forward less likely columns when possible, and winning columns over opponents. """ ODDS = 'odds...
35.806499
95
0.413143
2,681
24,241
3.648266
0.092503
0.034352
0.020243
0.022084
0.472344
0.381352
0.342705
0.260812
0.227993
0.184541
0
0.092439
0.431459
24,241
676
96
35.859467
0.617254
0.083825
0
0.442857
0
0
0.027876
0
0
0
0
0
0
1
0.026786
false
0
0.001786
0
0.1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e09525abcb7cde902261ff8255cd7d2143781fb5
8,471
py
Python
PyMaSC/handler/mappability.py
ronin-gw/PyMaSC
70c32b647017e162e0b004cadcf4f59a2d4012b6
[ "MIT" ]
2
2018-04-20T13:34:16.000Z
2021-07-13T16:20:28.000Z
PyMaSC/handler/mappability.py
ronin-gw/PyMaSC
70c32b647017e162e0b004cadcf4f59a2d4012b6
[ "MIT" ]
1
2021-03-16T11:08:46.000Z
2021-03-16T17:26:15.000Z
PyMaSC/handler/mappability.py
ronin-gw/PyMaSC
70c32b647017e162e0b004cadcf4f59a2d4012b6
[ "MIT" ]
null
null
null
import logging import os import json from multiprocessing import Process, Queue, Lock import numpy as np from PyMaSC.core.mappability import MappableLengthCalculator from PyMaSC.utils.progress import ProgressHook, MultiLineProgressManager from PyMaSC.utils.compatible import tostr, xrange from PyMaSC.utils.output impo...
37.816964
107
0.613387
1,001
8,471
4.982018
0.1998
0.041708
0.037497
0.027271
0.245238
0.176058
0.097052
0.075797
0.060156
0.025266
0
0.004285
0.283674
8,471
223
108
37.986547
0.817568
0.001771
0
0.196629
0
0
0.104802
0
0
0
0
0
0
1
0.073034
false
0.022472
0.05618
0.005618
0.202247
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0986b7dc3912a34a19f7612f40be9b6072d9a7e
15,310
py
Python
lib/twitter_utils.py
Vman45/ask-alexa-twitter
1711005e51db1f66beb2e41e762c39ee003273aa
[ "MIT" ]
310
2015-07-30T17:05:06.000Z
2020-12-19T18:39:39.000Z
lib/twitter_utils.py
Vman45/ask-alexa-twitter
1711005e51db1f66beb2e41e762c39ee003273aa
[ "MIT" ]
29
2015-12-08T22:10:47.000Z
2017-10-06T16:40:05.000Z
lib/twitter_utils.py
Vman45/ask-alexa-twitter
1711005e51db1f66beb2e41e762c39ee003273aa
[ "MIT" ]
73
2015-11-12T06:56:53.000Z
2020-09-13T22:23:44.000Z
import requests import jsonpickle from requests_oauthlib import OAuth1 from urllib.parse import parse_qs, urlencode import cherrypy from collections import defaultdict import json import os import re from collections import defaultdict # For readable serializations jsonpickle.set_encoder_options('json', sort_keys=Tr...
36.279621
150
0.615741
1,914
15,310
4.697492
0.140021
0.032032
0.021355
0.03003
0.375264
0.286286
0.241352
0.194194
0.164387
0.093872
0
0.005923
0.261137
15,310
421
151
36.365796
0.788897
0.052972
0
0.071918
0
0.003425
0.147986
0.003194
0
0
0
0
0
1
0.195205
false
0.003425
0.034247
0.068493
0.417808
0.034247
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e09899e15fdc6c14c2bf5b2ab6389520f9a3d9b7
1,399
py
Python
sundry/serializable.py
jamesabel/sundry
4f63bfa0624c88a3cd05adf2784e9e3e66e094f4
[ "MIT" ]
2
2019-10-02T06:30:27.000Z
2021-07-10T22:39:30.000Z
sundry/serializable.py
jamesabel/sundry
4f63bfa0624c88a3cd05adf2784e9e3e66e094f4
[ "MIT" ]
3
2019-03-13T17:15:58.000Z
2019-06-04T20:26:57.000Z
sundry/serializable.py
jamesabel/sundry
4f63bfa0624c88a3cd05adf2784e9e3e66e094f4
[ "MIT" ]
1
2019-03-08T21:37:29.000Z
2019-03-08T21:37:29.000Z
import json from enum import Enum from decimal import Decimal def convert_serializable_special_cases(o): """ Convert an object to a type that is fairly generally serializable (e.g. json serializable). This only handles the cases that need converting. The json module handles all the rest. For JSON, ...
36.815789
97
0.709078
187
1,399
5.219251
0.427807
0.133197
0.021516
0.033811
0.164959
0.151639
0.151639
0.151639
0.151639
0.151639
0
0.00276
0.223016
1,399
37
98
37.810811
0.895124
0.501787
0
0.125
0
0
0.06422
0
0
0
0
0
0
1
0.125
false
0
0.1875
0.0625
0.4375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e09a68dcd0689137530fb16dbc35c12c92deee70
36,880
py
Python
yggdrasil/drivers/MatlabModelDriver.py
astro-friedel/yggdrasil
5ecbfd083240965c20c502b4795b6dc93d94b020
[ "BSD-3-Clause" ]
null
null
null
yggdrasil/drivers/MatlabModelDriver.py
astro-friedel/yggdrasil
5ecbfd083240965c20c502b4795b6dc93d94b020
[ "BSD-3-Clause" ]
null
null
null
yggdrasil/drivers/MatlabModelDriver.py
astro-friedel/yggdrasil
5ecbfd083240965c20c502b4795b6dc93d94b020
[ "BSD-3-Clause" ]
null
null
null
import subprocess import uuid as uuid_gen import logging from datetime import datetime import os import psutil import warnings import weakref from yggdrasil import backwards, tools, platform, serialize from yggdrasil.languages import get_language_dir from yggdrasil.config import ygg_cfg from yggdrasil.drivers.Interpret...
40.086957
85
0.585195
4,360
36,880
4.81445
0.140596
0.076033
0.009718
0.011529
0.209852
0.146777
0.104235
0.073889
0.053404
0.0454
0
0.005067
0.315049
36,880
919
86
40.130577
0.825898
0.285466
0
0.226446
0
0.001653
0.135531
0.012921
0
0
0
0.002176
0.004959
1
0.064463
false
0.008264
0.028099
0
0.171901
0.023141
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e09ce665126d9b3d2e1a629422eb3823667146fa
3,453
py
Python
ted_sws/mapping_suite_processor/services/conceptual_mapping_generate_sparql_queries.py
meaningfy-ws/ted-sws
d1e351eacb2900f84ec7edc457e49d8202fbaff5
[ "Apache-2.0" ]
1
2022-03-21T12:32:52.000Z
2022-03-21T12:32:52.000Z
ted_sws/mapping_suite_processor/services/conceptual_mapping_generate_sparql_queries.py
meaningfy-ws/ted-sws
d1e351eacb2900f84ec7edc457e49d8202fbaff5
[ "Apache-2.0" ]
24
2022-02-10T10:43:56.000Z
2022-03-29T12:36:21.000Z
ted_sws/mapping_suite_processor/services/conceptual_mapping_generate_sparql_queries.py
meaningfy-ws/ted-sws
d1e351eacb2900f84ec7edc457e49d8202fbaff5
[ "Apache-2.0" ]
null
null
null
import pathlib from typing import Iterator import pandas as pd from ted_sws.resources.prefixes import PREFIXES_DEFINITIONS import re CONCEPTUAL_MAPPINGS_RULES_SHEET_NAME = "Rules" RULES_SF_FIELD_ID = 'Standard Form Field ID (M)' RULES_SF_FIELD_NAME = 'Standard Form Field Name (M)' RULES_E_FORM_BT_ID = 'eForm BT-ID (O)...
46.662162
250
0.705763
470
3,453
4.780851
0.261702
0.12016
0.112595
0.100134
0.223409
0.129506
0.073431
0.073431
0
0
0
0.000728
0.20417
3,453
73
251
47.30137
0.816958
0.091804
0
0
0
0.019231
0.18102
0.00845
0
0
0
0
0
1
0.057692
false
0
0.096154
0
0.173077
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0a0f22bfda8fa26025e7c4065f5e2b941f28ecf
3,892
py
Python
src/controllers/serie.py
igormotta92/gta-desafio-python-flask-api
7c048239359e8a21d777109bdb0d58b6c2c18450
[ "MIT" ]
null
null
null
src/controllers/serie.py
igormotta92/gta-desafio-python-flask-api
7c048239359e8a21d777109bdb0d58b6c2c18450
[ "MIT" ]
null
null
null
src/controllers/serie.py
igormotta92/gta-desafio-python-flask-api
7c048239359e8a21d777109bdb0d58b6c2c18450
[ "MIT" ]
null
null
null
# https://stackoverflow.com/questions/3300464/how-can-i-get-dict-from-sqlite-query # from flask import Flask from flask_restful import Resource, reqparse from src.model.serie import SerieModel from src.server.instance import server from db import db # books_db = [{"id": 0, "title": "War and Peace"}, {"id": 1, "title"...
29.938462
93
0.573741
442
3,892
4.975113
0.230769
0.040928
0.077308
0.060482
0.589359
0.570714
0.570714
0.570714
0.570714
0.532515
0
0.022305
0.308839
3,892
129
94
30.170543
0.795167
0.095067
0
0.494949
0
0
0.123717
0
0
0
0
0
0
1
0.060606
false
0
0.040404
0
0.242424
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0a7f01f58bb59078e58b00112eda388117b8294
1,590
py
Python
python-3.6.0/Doc/includes/email-unpack.py
emacslisp/python
5b89ddcc504108f0dfa1081e338e6475cf6ccd2f
[ "Apache-2.0" ]
854
2017-09-11T16:42:28.000Z
2022-03-27T14:17:09.000Z
python-3.6.0/Doc/includes/email-unpack.py
emacslisp/python
5b89ddcc504108f0dfa1081e338e6475cf6ccd2f
[ "Apache-2.0" ]
164
2017-09-24T20:40:32.000Z
2021-10-30T01:35:05.000Z
python-3.6.0/Doc/includes/email-unpack.py
emacslisp/python
5b89ddcc504108f0dfa1081e338e6475cf6ccd2f
[ "Apache-2.0" ]
73
2017-09-13T18:07:48.000Z
2022-03-17T13:02:29.000Z
#!/usr/bin/env python3 """Unpack a MIME message into a directory of files.""" import os import email import mimetypes from email.policy import default from argparse import ArgumentParser def main(): parser = ArgumentParser(description="""\ Unpack a MIME message into a directory of files. """) parser.add_a...
29.444444
78
0.611321
195
1,590
4.876923
0.538462
0.029443
0.047319
0.037855
0.082019
0.082019
0.082019
0.082019
0.082019
0
0
0.004429
0.289937
1,590
53
79
30
0.83791
0.164151
0
0
0
0
0.193328
0
0
0
0
0
0
1
0.027778
false
0.027778
0.138889
0
0.166667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0a80310257c1b06b4c2e9dcba5929214b903c35
1,400
py
Python
src/streetview/logging_facility.py
juliantrue/Streetview-Segmenting
337740e6ebd2284c880ace09a11032c5914b39a4
[ "MIT" ]
1
2021-02-27T07:39:05.000Z
2021-02-27T07:39:05.000Z
src/streetview/logging_facility.py
juliantrue/Streetview-Segmenting
337740e6ebd2284c880ace09a11032c5914b39a4
[ "MIT" ]
null
null
null
src/streetview/logging_facility.py
juliantrue/Streetview-Segmenting
337740e6ebd2284c880ace09a11032c5914b39a4
[ "MIT" ]
1
2021-12-06T23:35:34.000Z
2021-12-06T23:35:34.000Z
import sys, os import logging import datetime module_name = 'Streetview_Module' debug_mode = True class LoggingWrapper(object): def __init__(self, log_folder_path=None): self.debug_mode = debug_mode # Create logger with module name logger = logging.getLogger(module_name) logger.s...
32.55814
93
0.597857
160
1,400
5.10625
0.43125
0.034272
0.047736
0.041616
0
0
0
0
0
0
0
0
0.31
1,400
42
94
33.333333
0.845756
0.173571
0
0
0
0
0.073913
0
0
0
0
0
0
1
0.037037
false
0
0.111111
0
0.185185
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ab0941f48814dab8b198e84e5c5153cca3e066
7,827
py
Python
sandbox_api/asandbox.py
PremierLangage/sandbox-api
7150ddcb92ac2304ff1d7b23571ec5e20459747b
[ "MIT" ]
4
2020-01-27T19:06:05.000Z
2021-06-01T08:27:30.000Z
sandbox_api/asandbox.py
qcoumes/sandbox-api
7150ddcb92ac2304ff1d7b23571ec5e20459747b
[ "MIT" ]
null
null
null
sandbox_api/asandbox.py
qcoumes/sandbox-api
7150ddcb92ac2304ff1d7b23571ec5e20459747b
[ "MIT" ]
null
null
null
# asandbox.py # # Authors: # - Coumes Quentin <coumes.quentin@gmail.com> """An asynchronous implementation of the Sandbox API.""" import io import json import os from contextlib import AbstractAsyncContextManager from typing import BinaryIO, Optional, Union import aiohttp from .exceptions import status_exception...
38.55665
94
0.609046
916
7,827
5.135371
0.194323
0.026786
0.035714
0.043367
0.60034
0.580357
0.564201
0.555272
0.555272
0.509141
0
0.007147
0.302798
7,827
202
95
38.747525
0.854865
0.110515
0
0.473684
0
0
0.028543
0
0
0
0
0
0
1
0.010526
false
0
0.084211
0
0.221053
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ab889f41c5f27938c1c1068877196809ff21fd
4,928
py
Python
api/services/usuarios_services.py
jhonnattan123/fastapi_crud_example
24e1c295d41ad364ef839a4756e85b5bd640385a
[ "MIT" ]
1
2022-03-25T17:37:46.000Z
2022-03-25T17:37:46.000Z
api/services/usuarios_services.py
jhonnattan123/fastapi_crud_example
24e1c295d41ad364ef839a4756e85b5bd640385a
[ "MIT" ]
null
null
null
api/services/usuarios_services.py
jhonnattan123/fastapi_crud_example
24e1c295d41ad364ef839a4756e85b5bd640385a
[ "MIT" ]
null
null
null
import datetime from uuid import UUID from api.actions import storage from fastapi import HTTPException from api.models.usuario import Usuario from starlette.requests import Request from api.dependencies import validar_email, validar_formato_fecha,validar_edad FORMATO_FECHA = "%Y-%m-%d" EDAD_MINIMA = 18 EDAD_MAXIMA = ...
32.421053
109
0.584416
557
4,928
5.046679
0.197487
0.041622
0.025614
0.059765
0.630381
0.583067
0.519032
0.433298
0.433298
0.433298
0
0.007101
0.342735
4,928
152
110
32.421053
0.860759
0.199269
0
0.582278
0
0
0.092473
0
0
0
0
0
0
1
0.063291
false
0
0.088608
0
0.227848
0.063291
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ad08c2a04080e6246b307168d37bc9b104e50c
10,204
py
Python
certau/util/taxii/client.py
thisismyrobot/cti-toolkit
faf6e912af69376f5c55902c1592f7eeb0ce03dd
[ "BSD-3-Clause" ]
12
2016-07-11T07:53:05.000Z
2021-07-19T12:20:21.000Z
certau/util/taxii/client.py
thisismyrobot/cti-toolkit
faf6e912af69376f5c55902c1592f7eeb0ce03dd
[ "BSD-3-Clause" ]
null
null
null
certau/util/taxii/client.py
thisismyrobot/cti-toolkit
faf6e912af69376f5c55902c1592f7eeb0ce03dd
[ "BSD-3-Clause" ]
4
2016-11-13T22:38:10.000Z
2022-01-15T08:21:15.000Z
import os import logging import dateutil import pickle from six.moves.urllib.parse import urlparse from libtaxii import get_message_from_http_response, VID_TAXII_XML_11 from libtaxii.messages_11 import PollRequest, PollFulfillmentRequest from libtaxii.messages_11 import PollResponse, generate_message_id from libtaxii...
38.217228
78
0.591141
1,106
10,204
5.209765
0.169078
0.024297
0.023429
0.011107
0.292954
0.219368
0.191947
0.171989
0.154634
0.137279
0
0.001782
0.340063
10,204
266
79
38.360902
0.853876
0.112995
0
0.237113
0
0
0.084712
0
0
0
0
0
0
1
0.041237
false
0.041237
0.051546
0.005155
0.123711
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ada93a5debd6b2509b477f0b39c69cfae7e923
768
py
Python
tutorials/registration/data.py
YipengHu/MPHY0041
6e9706eba2b9f9a2449539d7dea5f91dde807584
[ "Apache-2.0" ]
1
2022-02-21T23:05:49.000Z
2022-02-21T23:05:49.000Z
tutorials/registration/data.py
YipengHu/MPHY0041
6e9706eba2b9f9a2449539d7dea5f91dde807584
[ "Apache-2.0" ]
2
2022-01-07T11:43:06.000Z
2022-03-17T02:11:58.000Z
tutorials/registration/data.py
YipengHu/MPHY0041
6e9706eba2b9f9a2449539d7dea5f91dde807584
[ "Apache-2.0" ]
null
null
null
import os import zipfile import requests DATA_PATH = './data' RESULT_PATH = './result' if not os.path.exists(DATA_PATH): os.makedirs(DATA_PATH) print('Downloading and extracting data...') url = 'https://weisslab.cs.ucl.ac.uk/WEISSTeaching/datasets/-/archive/hn2dct/datasets-hn2dct.zip' r = requests.get(url,all...
27.428571
105
0.736979
119
768
4.613445
0.453782
0.07286
0.025501
0.040073
0.061931
0
0
0
0
0
0
0.005822
0.105469
768
27
106
28.444444
0.793304
0
0
0
0
0.05
0.301173
0
0
0
0
0
0
1
0
false
0
0.15
0
0.15
0.2
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ae282e70b49bf571087a6d88c319ae9d3cc9d4
3,774
py
Python
insights/parsers/tests/test_freeipa_healthcheck_log.py
lhuett/insights-core
1c84eeffc037f85e2bbf60c9a302c83aa1a50cf8
[ "Apache-2.0" ]
null
null
null
insights/parsers/tests/test_freeipa_healthcheck_log.py
lhuett/insights-core
1c84eeffc037f85e2bbf60c9a302c83aa1a50cf8
[ "Apache-2.0" ]
null
null
null
insights/parsers/tests/test_freeipa_healthcheck_log.py
lhuett/insights-core
1c84eeffc037f85e2bbf60c9a302c83aa1a50cf8
[ "Apache-2.0" ]
null
null
null
import doctest from insights.parsers import freeipa_healthcheck_log from insights.parsers.freeipa_healthcheck_log import FreeIPAHealthCheckLog from insights.tests import context_wrap LONG_FREEIPA_HEALTHCHECK_LOG_OK = """ [{"source": "ipahealthcheck.ipa.roles", "check": "IPACRLManagerCheck", "result": "SUCCESS", "uuid"...
35.942857
98
0.673026
388
3,774
6.296392
0.25
0.14736
0.154728
0.056488
0.749488
0.65002
0.591895
0.591895
0.537863
0.537863
0
0.074651
0.183625
3,774
104
99
36.288462
0.718273
0
0
0.235955
0
0.022472
0.54266
0.163222
0
0
0
0
0.11236
1
0.05618
false
0
0.044944
0
0.101124
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0aedd632aed5a57b006b298a3c339eedfc172f6
3,484
py
Python
recipes/recipes/windows_image_builder/winpe_customization.py
xswz8015/infra
f956b78ce4c39cc76acdda47601b86794ae0c1ba
[ "BSD-3-Clause" ]
null
null
null
recipes/recipes/windows_image_builder/winpe_customization.py
xswz8015/infra
f956b78ce4c39cc76acdda47601b86794ae0c1ba
[ "BSD-3-Clause" ]
4
2022-03-17T18:58:21.000Z
2022-03-17T18:58:22.000Z
recipes/recipes/windows_image_builder/winpe_customization.py
xswz8015/infra
f956b78ce4c39cc76acdda47601b86794ae0c1ba
[ "BSD-3-Clause" ]
null
null
null
# Copyright 2021 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from recipe_engine import post_process from PB.recipes.infra.windows_image_builder import windows_image_builder as wib from PB.recipes.infra.windows_image_b...
35.55102
80
0.705798
436
3,484
5.431193
0.364679
0.030405
0.065034
0.052787
0.108953
0.054476
0.054476
0.054476
0
0
0
0.026466
0.197474
3,484
97
81
35.917526
0.820458
0.188289
0
0
0
0
0.227564
0.136396
0
0
0
0
0.05
1
0.033333
false
0
0.1
0
0.133333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0afd7d06dd45ec0003e8757b057e5c949b8d859
374
py
Python
back/lollangCompiler/main.py
wonjinYi/lollang-playground
2df07ccc2518e6dc9f9aa00b2f38ad8d62cdb507
[ "MIT" ]
11
2022-03-12T06:41:29.000Z
2022-03-15T06:15:52.000Z
back/lollangCompiler/main.py
wonjinYi/lollang-playground
2df07ccc2518e6dc9f9aa00b2f38ad8d62cdb507
[ "MIT" ]
4
2022-03-14T12:01:09.000Z
2022-03-26T20:19:52.000Z
back/lollangCompiler/main.py
wonjinYi/lollang-playground
2df07ccc2518e6dc9f9aa00b2f38ad8d62cdb507
[ "MIT" ]
null
null
null
from lollangCompiler.compiler import Compiler import argparse if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--file", required=True, help="컴파일할 파일을 선택해주세요.") parser.add_argument("--out", default="out.py", help="목적 파이썬 파일경로를 선택해주세요") args = parser.parse_args() cmp...
37.4
78
0.708556
47
374
5.404255
0.617021
0.110236
0.133858
0
0
0
0
0
0
0
0
0
0.149733
374
10
79
37.4
0.798742
0
0
0
0
0
0.16
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b0e0083223143424e08a5e2722940882568d5e
2,174
py
Python
src/add_2_zip_imports.py
goubertbrent/oca-backend
b9f59cc02568aecb55d4b54aec05245790ea25fd
[ "Apache-2.0" ]
null
null
null
src/add_2_zip_imports.py
goubertbrent/oca-backend
b9f59cc02568aecb55d4b54aec05245790ea25fd
[ "Apache-2.0" ]
null
null
null
src/add_2_zip_imports.py
goubertbrent/oca-backend
b9f59cc02568aecb55d4b54aec05245790ea25fd
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Copyright 2020 Green Valley Belgium NV # # 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 appl...
36.233333
117
0.731831
296
2,174
5.179054
0.472973
0.039139
0.03392
0.039139
0
0
0
0
0
0
0
0.00619
0.182613
2,174
59
118
36.847458
0.8565
0.278749
0
0.121212
0
0
0.035461
0
0
0
0
0
0
1
0.030303
false
0
0.242424
0
0.272727
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b1290a0ccf26bc0c338627492bdd788761baa7
8,396
py
Python
lib/galaxy/model/migrate/versions/0026_cloud_tables.py
Galaxyinternship/Galaxy
204be086a8c16d6684584cefa9053ed7c86a1784
[ "CC-BY-3.0" ]
null
null
null
lib/galaxy/model/migrate/versions/0026_cloud_tables.py
Galaxyinternship/Galaxy
204be086a8c16d6684584cefa9053ed7c86a1784
[ "CC-BY-3.0" ]
null
null
null
lib/galaxy/model/migrate/versions/0026_cloud_tables.py
Galaxyinternship/Galaxy
204be086a8c16d6684584cefa9053ed7c86a1784
[ "CC-BY-3.0" ]
null
null
null
""" This script adds tables needed for Galaxy cloud functionality. """ from __future__ import print_function import datetime import logging from sqlalchemy import Boolean, Column, DateTime, ForeignKey, Integer, MetaData, Table, TEXT now = datetime.datetime.utcnow log = logging.getLogger( __name__ ) metadata = MetaDa...
54.167742
132
0.488328
694
8,396
5.723343
0.168588
0.100705
0.066969
0.077543
0.501511
0.473061
0.395015
0.376888
0.353223
0.353223
0
0
0.402454
8,396
154
133
54.519481
0.791708
0.010005
0
0.422222
0
0
0.140644
0.008594
0
0
0
0
0
1
0.014815
false
0.007407
0.02963
0
0.044444
0.014815
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b5c736d3e79ca55e6b015bca8f2bcfa9bec4d1
30,844
py
Python
image_misc.py
frankgh/deep-visualization-toolbox
c9bb26eacae0b4d1a25d3844538c2830026add76
[ "MIT" ]
null
null
null
image_misc.py
frankgh/deep-visualization-toolbox
c9bb26eacae0b4d1a25d3844538c2830026add76
[ "MIT" ]
null
null
null
image_misc.py
frankgh/deep-visualization-toolbox
c9bb26eacae0b4d1a25d3844538c2830026add76
[ "MIT" ]
null
null
null
#! /usr/bin/env python import cv2 import matplotlib.pyplot as plt import skimage import skimage.io from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure from matplotlib.pyplot import cm from mpl_toolkits.axes_grid1 import make_axes_locatable from numpy import ...
34.617284
208
0.57191
4,396
30,844
3.895814
0.130346
0.009634
0.016817
0.00654
0.421581
0.366986
0.317879
0.284713
0.250204
0.246701
0
0.041885
0.299475
30,844
890
209
34.65618
0.750729
0.234827
0
0.355009
0
0
0.031495
0
0
0
0
0
0.017575
1
0.049209
false
0
0.017575
0
0.119508
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b78d074db83725adcb792c0532db942f29eb42
5,702
py
Python
py/test/selenium/webdriver/common/window_tests.py
ey-advisory-technology-testing/selenium
7e342d3b8eb913a9626475a158c4bc6ae5d68315
[ "Apache-2.0" ]
1
2020-10-06T16:55:46.000Z
2020-10-06T16:55:46.000Z
py/test/selenium/webdriver/common/window_tests.py
ey-advisory-technology-testing/selenium
7e342d3b8eb913a9626475a158c4bc6ae5d68315
[ "Apache-2.0" ]
2
2020-10-12T13:27:19.000Z
2020-10-12T15:32:45.000Z
py/test/selenium/webdriver/common/window_tests.py
ey-advisory-technology-testing/selenium
7e342d3b8eb913a9626475a158c4bc6ae5d68315
[ "Apache-2.0" ]
1
2019-03-18T14:38:08.000Z
2019-03-18T14:38:08.000Z
# Licensed to the Software Freedom Conservancy (SFC) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The SFC licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not...
38.268456
122
0.708699
782
5,702
4.939898
0.200767
0.046596
0.046596
0.04556
0.53663
0.528346
0.412374
0.345845
0.273363
0.234533
0
0.009344
0.174149
5,702
148
123
38.527027
0.811
0.518239
0
0.222222
0
0
0.06108
0
0
0
0
0
0.296296
1
0.111111
false
0
0.074074
0
0.185185
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b811e924c93fc02a9d9d5f223ad493413f5e6c
21,307
py
Python
psydac/cad/geometry.py
mayuri-dhote/psydac
01ddbe2d049a599684c45060912d01c2658160a3
[ "MIT" ]
5
2018-03-13T13:50:26.000Z
2018-12-22T14:04:11.000Z
psydac/cad/geometry.py
mayuri-dhote/psydac
01ddbe2d049a599684c45060912d01c2658160a3
[ "MIT" ]
3
2019-02-08T13:29:47.000Z
2019-03-06T17:23:08.000Z
psydac/cad/geometry.py
mayuri-dhote/psydac
01ddbe2d049a599684c45060912d01c2658160a3
[ "MIT" ]
1
2018-12-15T09:55:12.000Z
2018-12-15T09:55:12.000Z
# coding: utf-8 # # a Geometry class contains the list of patches and additional information about # the topology i.e. connectivity, boundaries # For the moment, it is used as a container, that can be loaded from a file # (hdf5) from itertools import product from collections import abc import numpy as np import string ...
31.659733
112
0.546487
2,533
21,307
4.512041
0.129491
0.008575
0.016799
0.008925
0.505994
0.474057
0.418497
0.407122
0.400822
0.366874
0
0.01093
0.304407
21,307
672
113
31.706845
0.760205
0.220397
0
0.386667
0
0
0.049562
0
0
0
0
0.002976
0.016
1
0.053333
false
0.005333
0.056
0.016
0.170667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b8df2c0cc835ac66fd2676a3d3a8a967b603f8
6,098
py
Python
utils.py
ok1zjf/AMNet
51b163eec63d6d1e2e3dbc140d19afdc7b4273ee
[ "MIT" ]
40
2018-06-20T20:33:38.000Z
2022-03-21T02:00:34.000Z
utils.py
RMSnow/AMNet-Rumor
95321bb30a303994cfae769801207bbde91d77fb
[ "MIT" ]
5
2018-07-26T17:23:07.000Z
2020-05-05T15:30:18.000Z
utils.py
RMSnow/AMNet-Rumor
95321bb30a303994cfae769801207bbde91d77fb
[ "MIT" ]
10
2018-04-10T09:42:55.000Z
2021-04-19T19:01:27.000Z
__author__ = 'Jiri Fajtl' __email__ = 'ok1zjf@gmail.com' __version__= '2.2' __status__ = "Research" __date__ = "28/1/2018" __license__= "MIT License" import os import numpy as np import glob import subprocess import platform import sys import pkg_resources import torch import PIL as Image try: import cv2 except:...
30.49
120
0.611512
774
6,098
4.51938
0.250646
0.044025
0.017153
0.012007
0.218982
0.173242
0.156089
0.132075
0.094911
0.094911
0
0.009991
0.261397
6,098
200
121
30.49
0.766652
0.03083
0
0.095238
0
0
0.125804
0.020996
0
0
0
0
0
1
0.068027
false
0.006803
0.068027
0.013605
0.231293
0.095238
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0b9af8b61e8657e680602511286b7396f0d35fe
1,075
py
Python
axelrod/tests/strategies/test_mystrategy.py
AleksaLuka/Axelrod
5f2fefcb2bf8f371ef489382f90f116b46ac1023
[ "MIT" ]
null
null
null
axelrod/tests/strategies/test_mystrategy.py
AleksaLuka/Axelrod
5f2fefcb2bf8f371ef489382f90f116b46ac1023
[ "MIT" ]
null
null
null
axelrod/tests/strategies/test_mystrategy.py
AleksaLuka/Axelrod
5f2fefcb2bf8f371ef489382f90f116b46ac1023
[ "MIT" ]
null
null
null
import axelrod as axl from .test_player import TestPlayer C, D = axl.Action.C, axl.Action.D class TestMyStrategy(TestPlayer): name = "MyStrategy" player = axl.mystrategy expected_classifier = { "memory_depth": 1, "stochastic": False, "long_run_time": False, "inspects_sour...
28.289474
71
0.563721
125
1,075
4.712
0.352
0.03056
0.03056
0.149406
0.455008
0.356537
0.312394
0.251273
0.251273
0.251273
0
0.006631
0.298605
1,075
37
72
29.054054
0.774536
0.019535
0
0.193548
0
0
0.090304
0
0
0
0
0
0
1
0.032258
false
0
0.064516
0
0.225806
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0be43ac7d66987096cd0a5bf59621233ca9d1a8
37,056
py
Python
src/audio_korpora_pipeline/inputadapter/adapters.py
WernerDreier/audio-korpora-pipeline
ac171cdfb0663c7b6250c06cc9c70a951b908251
[ "MIT" ]
1
2020-09-11T05:27:58.000Z
2020-09-11T05:27:58.000Z
src/audio_korpora_pipeline/inputadapter/adapters.py
WernerDreier/audio-korpora-pipeline
ac171cdfb0663c7b6250c06cc9c70a951b908251
[ "MIT" ]
null
null
null
src/audio_korpora_pipeline/inputadapter/adapters.py
WernerDreier/audio-korpora-pipeline
ac171cdfb0663c7b6250c06cc9c70a951b908251
[ "MIT" ]
null
null
null
import concurrent import os import re import shutil import xml.etree.ElementTree as ET # TODO do we have this as requirement? from concurrent.futures import as_completed from concurrent.futures._base import as_completed from pathlib import Path import ffmpeg import pandas as pd import webrtcvad from audio_korpora_pi...
48.312907
152
0.725658
3,491
37,056
7.576626
0.185907
0.018904
0.019282
0.014518
0.278034
0.233611
0.192741
0.17569
0.16276
0.15913
0
0.005745
0.178028
37,056
766
153
48.375979
0.862602
0.037106
0
0.245161
0
0.001613
0.106961
0.014984
0
0
0
0.002611
0
1
0.112903
false
0.009677
0.022581
0.009677
0.275806
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0beee4ee459f085172a97b3c88ddde9059df51b
14,085
py
Python
development/multiImage_pytorch/experiment.py
anaikawadi/svbrdf-estimation
c977aa8448b2131af3960895afd1105d29e5484a
[ "MIT" ]
null
null
null
development/multiImage_pytorch/experiment.py
anaikawadi/svbrdf-estimation
c977aa8448b2131af3960895afd1105d29e5484a
[ "MIT" ]
null
null
null
development/multiImage_pytorch/experiment.py
anaikawadi/svbrdf-estimation
c977aa8448b2131af3960895afd1105d29e5484a
[ "MIT" ]
null
null
null
import matplotlib.pyplot as plt import math import shutil import torch from accelerate import Accelerator from tensorboardX import SummaryWriter from cli import parse_args from dataset import SvbrdfDataset from losses import MixedLoss, MixedLoss2, MixedLoss3 from models import MultiViewModel, SingleViewModel from pathl...
34.437653
244
0.637061
1,956
14,085
4.443763
0.166155
0.051772
0.069029
0.051542
0.518178
0.503106
0.431661
0.424528
0.396341
0.396341
0
0.022544
0.209514
14,085
408
245
34.522059
0.758128
0.177778
0
0.436508
0
0
0.133664
0.098443
0
0
0
0.002451
0
1
0.007937
false
0
0.071429
0.003968
0.087302
0.071429
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c1ea88aed755291844e1e991a6d2f5cdb34cdd
8,924
py
Python
advent_of_code/2019/11_space_police/aoc_2019_11.py
thanosa/coding-challenges
a10b0de51da076a4bcc798b4a3d5a08e29c5af01
[ "MIT" ]
null
null
null
advent_of_code/2019/11_space_police/aoc_2019_11.py
thanosa/coding-challenges
a10b0de51da076a4bcc798b4a3d5a08e29c5af01
[ "MIT" ]
null
null
null
advent_of_code/2019/11_space_police/aoc_2019_11.py
thanosa/coding-challenges
a10b0de51da076a4bcc798b4a3d5a08e29c5af01
[ "MIT" ]
null
null
null
''' Advent of code 2019 Day 11 - Space police ''' from typing import NamedTuple from enum import Enum INPUT_FILE=__file__.replace('.py', '.dat') def to_number(digits: list) -> int: return int(''.join(map(str, digits))) def to_list(number: int) -> list: return [int(i) for i in str(number)] ...
29.647841
91
0.438256
1,019
8,924
3.776251
0.155054
0.077963
0.053015
0.074844
0.442827
0.423337
0.420218
0.337058
0.337058
0.337058
0
0.034712
0.444756
8,924
300
92
29.746667
0.741877
0.039892
0
0.435556
0
0
0.02171
0
0
0
0
0
0
1
0.035556
false
0
0.008889
0.013333
0.111111
0.026667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c4cc4a632d487744596824e2338a9f0399ee17
814
py
Python
nicos_mlz/mira/setups/mezeiflip.py
jkrueger1/nicos
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]
12
2019-11-06T15:40:36.000Z
2022-01-01T16:23:00.000Z
nicos_mlz/mira/setups/mezeiflip.py
jkrueger1/nicos
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]
91
2020-08-18T09:20:26.000Z
2022-02-01T11:07:14.000Z
nicos_mlz/mira/setups/mezeiflip.py
jkrueger1/nicos
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]
6
2020-01-11T10:52:30.000Z
2022-02-25T12:35:23.000Z
description = 'Mezei spin flipper using TTI power supply' group = 'optional' tango_base = 'tango://miractrl.mira.frm2:10000/mira/' devices = dict( dct1 = device('nicos.devices.entangle.PowerSupply', description = 'current in first channel of supply (flipper current)', tangodevice = tango_base + 't...
32.56
83
0.63145
88
814
5.806818
0.545455
0.052838
0.105675
0.101761
0.422701
0.223092
0.223092
0.223092
0
0
0
0.035948
0.248157
814
24
84
33.916667
0.79902
0
0
0.318182
0
0
0.460688
0.174447
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c51c1373dbb36d56025f69dde451b4d208bab8
16,817
py
Python
mars/learn/cluster/_k_means_init.py
hxri/mars
f7864f00911883b94800b63856f0e57648d3d9b4
[ "Apache-2.0" ]
2,413
2018-12-06T09:37:11.000Z
2022-03-30T15:47:39.000Z
mars/learn/cluster/_k_means_init.py
hxri/mars
f7864f00911883b94800b63856f0e57648d3d9b4
[ "Apache-2.0" ]
1,335
2018-12-07T03:06:18.000Z
2022-03-31T11:45:57.000Z
mars/learn/cluster/_k_means_init.py
hxri/mars
f7864f00911883b94800b63856f0e57648d3d9b4
[ "Apache-2.0" ]
329
2018-12-07T03:12:41.000Z
2022-03-29T21:49:57.000Z
# Copyright 1999-2021 Alibaba Group Holding Ltd. # # 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 a...
37.288248
94
0.634477
2,115
16,817
4.770213
0.169267
0.034097
0.055407
0.01685
0.384577
0.316186
0.267916
0.256021
0.245019
0.21905
0
0.007272
0.272225
16,817
450
95
37.371111
0.81706
0.16846
0
0.364548
0
0
0.032209
0.009452
0
0
0
0
0.006689
1
0.100334
false
0
0.060201
0.040134
0.294314
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c54a43da9d2d5736bbbaf25b05dc7746829f11
2,157
py
Python
wikipedia_parser/infobox/wikitext_parser.py
ojones/wikipedia_parser
db548290fbc392299bba8adfda9fe18baa1e66fe
[ "MIT" ]
9
2016-02-24T20:09:26.000Z
2019-03-10T11:33:34.000Z
wikipedia_parser/infobox/wikitext_parser.py
ojones/wikipedia_parser
db548290fbc392299bba8adfda9fe18baa1e66fe
[ "MIT" ]
1
2019-02-13T17:38:50.000Z
2019-02-13T17:38:50.000Z
wikipedia_parser/infobox/wikitext_parser.py
ojones/wikipedia_parser
db548290fbc392299bba8adfda9fe18baa1e66fe
[ "MIT" ]
1
2016-04-05T05:28:51.000Z
2016-04-05T05:28:51.000Z
import re from wikipedia_parser.infobox import clean_text as clean_help from wikipedia_parser.infobox import wikitext_helpers as wtext_help from wikipedia_parser.third_party_adapters import parserfromhell_adapter as adapter __author__ = 'oswaldjones' def get_simple_text(wtext, key, clean=True): text = None ...
30.380282
90
0.592953
276
2,157
4.391304
0.23913
0.089109
0.049505
0.056931
0.615512
0.443894
0.443894
0.443894
0.443894
0.391089
0
0.006077
0.313398
2,157
70
91
30.814286
0.812289
0.052388
0
0.380952
0
0
0.027014
0
0
0
0
0
0
1
0.047619
false
0
0.095238
0
0.190476
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c98eb51566d8d4d1edda624372a00af1731e11
1,339
py
Python
src/video_transcoding/defaults.py
tumb1er/django-video-transcoding
54c85fb4a3b58b3f3b82e461b2f54f3c8dd5fcc6
[ "MIT" ]
21
2020-02-07T17:40:16.000Z
2021-09-02T18:56:21.000Z
src/video_transcoding/defaults.py
just-work/django-video-transcoding
c88d88de8301cd65eda95db941d72028aac57aa9
[ "MIT" ]
184
2020-02-09T10:46:17.000Z
2022-03-28T00:53:04.000Z
src/video_transcoding/defaults.py
just-work/django-video-transcoding
c88d88de8301cd65eda95db941d72028aac57aa9
[ "MIT" ]
6
2020-02-07T13:58:33.000Z
2021-07-27T16:24:56.000Z
from os import getenv as e from kombu import Queue CELERY_APP_NAME = 'video_transcoding' VIDEO_TRANSCODING_CELERY_CONF = { 'broker_url': e('VIDEO_TRANSCODING_CELERY_BROKER_URL', 'amqp://guest:guest@rabbitmq:5672/'), 'result_backend': e('VIDEO_TRANSCODING_CELERY_RESULT_BACKEND', None), ...
31.139535
75
0.726662
175
1,339
5.228571
0.497143
0.039344
0.071038
0.059016
0
0
0
0
0
0
0
0.019366
0.151606
1,339
42
76
31.880952
0.786092
0.168783
0
0
0
0
0.472875
0.274864
0
0
0
0
0
1
0
false
0
0.08
0
0.08
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c9c572e013959cc1791ab9408e2433e6b096c4
5,104
py
Python
wordSenseByContext.py
jmboettcher/fall2019_sentiment_in_alternative_words
d88fd0ed7d1396bb3755431d6aff85b880ffe149
[ "Apache-2.0" ]
null
null
null
wordSenseByContext.py
jmboettcher/fall2019_sentiment_in_alternative_words
d88fd0ed7d1396bb3755431d6aff85b880ffe149
[ "Apache-2.0" ]
null
null
null
wordSenseByContext.py
jmboettcher/fall2019_sentiment_in_alternative_words
d88fd0ed7d1396bb3755431d6aff85b880ffe149
[ "Apache-2.0" ]
null
null
null
from collections import defaultdict from nltk.tokenize import sent_tokenize from nltk.corpus import wordnet as wn from nltk.corpus import semcor as sc from nltk.corpus import stopwords import mywordtokenizer class SenseContextWordDict: def __init__(self): self.dictionary = self._create_dictionary() d...
36.985507
125
0.587187
464
5,104
6.37069
0.303879
0.032476
0.031123
0.020298
0.194181
0.159675
0.159675
0.159675
0.122463
0.122463
0
0.008037
0.317398
5,104
137
126
37.255474
0.840413
0.063284
0
0.179775
0
0
0.017418
0
0
0
0
0
0
1
0.089888
false
0.011236
0.067416
0
0.224719
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0c9fc5ceee51e40ba7758705226014b71dd06d7
3,138
py
Python
paymentmethods/stripejs/tests.py
tjwalch/django-restshop
569b57a5694e76a365556d7c4c9a97dd293d96c6
[ "MIT" ]
null
null
null
paymentmethods/stripejs/tests.py
tjwalch/django-restshop
569b57a5694e76a365556d7c4c9a97dd293d96c6
[ "MIT" ]
null
null
null
paymentmethods/stripejs/tests.py
tjwalch/django-restshop
569b57a5694e76a365556d7c4c9a97dd293d96c6
[ "MIT" ]
null
null
null
import decimal from unittest import mock from django.conf import settings from django.test import modify_settings from rest_framework import test from rest_framework.reverse import reverse import stripe from restshop import serializers from restshop.models import Order from paymentmethods.stripejs.models import Strip...
31.069307
78
0.593372
321
3,138
5.697819
0.376947
0.039366
0.029524
0.037726
0.091853
0.091853
0.091853
0.091853
0.091853
0.091853
0
0.024102
0.299235
3,138
100
79
31.38
0.80764
0
0
0.10989
0
0
0.070427
0.017208
0
0
0
0
0.120879
1
0.054945
false
0
0.131868
0.010989
0.208791
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0cbe510c57f6be47472391d90b71a872f267467
9,887
py
Python
qutip/graph.py
anubhavvardhan/qutip
daf384840efbb44b86e39d8bda64d907d9f6b47f
[ "BSD-3-Clause" ]
null
null
null
qutip/graph.py
anubhavvardhan/qutip
daf384840efbb44b86e39d8bda64d907d9f6b47f
[ "BSD-3-Clause" ]
null
null
null
qutip/graph.py
anubhavvardhan/qutip
daf384840efbb44b86e39d8bda64d907d9f6b47f
[ "BSD-3-Clause" ]
null
null
null
# This file is part of QuTiP: Quantum Toolbox in Python. # # Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: ...
33.402027
79
0.670982
1,374
9,887
4.764192
0.27147
0.023831
0.019248
0.016499
0.346166
0.309349
0.303086
0.277116
0.277116
0.25634
0
0.006818
0.243451
9,887
295
80
33.515254
0.868316
0.645494
0
0.46875
0
0
0.179359
0.033808
0
0
0
0
0
1
0.09375
false
0
0.046875
0
0.234375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d0af5cc2acc44430f9c71988996b1fd3a8a91a
8,473
py
Python
src/train_vae.py
katnoria/world-models
6584f35fa9508c991050ddc9c17f5862a00008fe
[ "Apache-2.0" ]
null
null
null
src/train_vae.py
katnoria/world-models
6584f35fa9508c991050ddc9c17f5862a00008fe
[ "Apache-2.0" ]
null
null
null
src/train_vae.py
katnoria/world-models
6584f35fa9508c991050ddc9c17f5862a00008fe
[ "Apache-2.0" ]
null
null
null
# class Encoder: # pass # class Decoder: # pass # class VariationAutoEncoder: # pass import os os.environ['CUDA_VISIBLE_DEVICES'] = "0" import pickle import logging from glob import glob import numpy as np from time import time from datetime import datetime from PIL import Image import matplotlib.pyplot ...
36.521552
130
0.690901
1,153
8,473
4.928881
0.248916
0.032905
0.025339
0.03009
0.208869
0.144818
0.099067
0.099067
0.055077
0.055077
0
0.020651
0.177033
8,473
231
131
36.679654
0.79435
0.148708
0
0.066667
0
0
0.085053
0.011433
0
0
0
0
0
1
0.066667
false
0
0.086667
0.006667
0.22
0.02
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d3c8c44e9a78dfdefd3d78c0e47b2746c32032
5,233
py
Python
multitidal/client_lib.py
xa4a/multitidal
26f757f12464e8f935c0389c6356b97cfaa9f03f
[ "MIT" ]
2
2021-12-01T05:39:05.000Z
2021-12-07T07:26:16.000Z
multitidal/client_lib.py
xa4a/multitidal
26f757f12464e8f935c0389c6356b97cfaa9f03f
[ "MIT" ]
1
2021-12-02T03:54:16.000Z
2021-12-02T03:54:16.000Z
multitidal/client_lib.py
parabolala/multitidal
26f757f12464e8f935c0389c6356b97cfaa9f03f
[ "MIT" ]
null
null
null
import asyncio import json import os import pty import shutil import sys import tty import termios import time import threading import tornado.iostream from tornado.ioloop import IOLoop from tornado.websocket import websocket_connect ioloop = tornado.ioloop.IOLoop.instance() SSH_LOGIN = "root" SSH_PASSWORD = "algor...
28.911602
73
0.549016
634
5,233
4.399054
0.26183
0.03227
0.017928
0.048763
0.222302
0.17067
0.120473
0.058802
0.034421
0.034421
0
0.008331
0.334798
5,233
180
74
29.072222
0.792876
0.051978
0
0.182432
0
0
0.115556
0.016162
0
0
0
0
0.013514
1
0.027027
false
0.040541
0.087838
0
0.155405
0.135135
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d425874c7577ffb290b5d9bb87cc599dbdcb1a
2,790
py
Python
scrapy/contracts/default.py
zyuchuan/scrapy
ce24f53957b41877319a5ffc6cf26f0a18baaec2
[ "BSD-3-Clause" ]
null
null
null
scrapy/contracts/default.py
zyuchuan/scrapy
ce24f53957b41877319a5ffc6cf26f0a18baaec2
[ "BSD-3-Clause" ]
null
null
null
scrapy/contracts/default.py
zyuchuan/scrapy
ce24f53957b41877319a5ffc6cf26f0a18baaec2
[ "BSD-3-Clause" ]
null
null
null
import json from scrapy.item import BaseItem from scrapy.http import Request from scrapy.exceptions import ContractFail from scrapy.contracts import Contract # contracts class UrlContract(Contract): """ Contract to set the url of the request (mandatory) @url http://scrapy.org """ name = 'url' ...
26.074766
70
0.576344
330
2,790
4.766667
0.306061
0.050858
0.045772
0.026701
0.164018
0.102988
0.072473
0
0
0
0
0.009958
0.316129
2,790
106
71
26.320755
0.814465
0.178136
0
0.206897
0
0
0.055093
0
0
0
0
0
0.051724
1
0.086207
false
0
0.086207
0
0.362069
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d6966f0f4824c8705c24412698017423279002
2,193
py
Python
scrapy_template/scrapy_template/pipelines.py
kk0501/spider
404540a76922885f9dd12f9a513f5ec88b0d2072
[ "MIT" ]
null
null
null
scrapy_template/scrapy_template/pipelines.py
kk0501/spider
404540a76922885f9dd12f9a513f5ec88b0d2072
[ "MIT" ]
null
null
null
scrapy_template/scrapy_template/pipelines.py
kk0501/spider
404540a76922885f9dd12f9a513f5ec88b0d2072
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html from scrapy.exceptions import DropItem from hashlib import md5 from scrapy import log from twisted.enterprise import adbapi fro...
34.265625
85
0.579115
257
2,193
4.828794
0.44358
0.00967
0.012087
0.012893
0.005641
0.005641
0
0
0
0
0
0.003876
0.294118
2,193
64
86
34.265625
0.797804
0.082535
0
0.04
0
0.02
0.184853
0
0
0
0
0
0
1
0.12
false
0.02
0.1
0.02
0.32
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d7c84ced6a300c631d0fec1f9dd425ca8e581c
2,726
py
Python
run_training_size_bootstrap.py
willferreira/multilabel-stance-detection
ddc0ed9caa26b63f40e89a377f1738e83fcb7724
[ "MIT" ]
null
null
null
run_training_size_bootstrap.py
willferreira/multilabel-stance-detection
ddc0ed9caa26b63f40e89a377f1738e83fcb7724
[ "MIT" ]
null
null
null
run_training_size_bootstrap.py
willferreira/multilabel-stance-detection
ddc0ed9caa26b63f40e89a377f1738e83fcb7724
[ "MIT" ]
null
null
null
import click import pickle import numpy as np from collections import defaultdict from utils import reset_seeds, get_dataset, load_embeddings from mlp_multilabel_wrapper import PowersetKerasWrapper, MultiOutputKerasWrapper from mlp_utils import CrossLabelDependencyLoss def get_random_sample(dataset_name='bbc', train_...
41.938462
104
0.705796
387
2,726
4.625323
0.260982
0.036872
0.026816
0.020112
0.274302
0.217877
0.162011
0.072626
0.072626
0.041341
0
0.008945
0.179751
2,726
64
105
42.59375
0.791592
0.012106
0
0
0
0
0.063174
0.011148
0
0
0
0
0
1
0.06383
false
0
0.148936
0.021277
0.255319
0.06383
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d8a4edfd7425e0db4ca0bd8268ff4b94c0916a
1,268
py
Python
code/evaluate.py
Shuailong/CCGSupertagging
891a6a477a4a05daeb847d4a4c33a1bc929d97b2
[ "MIT" ]
3
2018-11-09T04:33:12.000Z
2021-06-04T04:23:07.000Z
code/evaluate.py
Shuailong/CCGSupertagging
891a6a477a4a05daeb847d4a4c33a1bc929d97b2
[ "MIT" ]
2
2017-03-13T02:56:09.000Z
2019-07-27T02:47:29.000Z
code/evaluate.py
Shuailong/CCGSupertagging
891a6a477a4a05daeb847d4a4c33a1bc929d97b2
[ "MIT" ]
1
2020-11-25T06:09:33.000Z
2020-11-25T06:09:33.000Z
#!/usr/bin/env python # encoding: utf-8 """ evaluate.py Created by Shuailong on 2016-12-2. Evaluate model accuracy on test set. """ from __future__ import print_function from time import time from keras.models import load_model import os from utils import true_accuracy from dataset import get_data from train imp...
25.877551
108
0.645899
170
1,268
4.523529
0.423529
0.045514
0.039012
0.026008
0.06502
0
0
0
0
0
0
0.012308
0.231073
1,268
48
109
26.416667
0.77641
0.096215
0
0
0
0
0.140845
0
0
0
0
0
0
1
0.035714
false
0
0.285714
0
0.321429
0.214286
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0d98d3fbe99c6483d07cbca24e2f2d19d6ccfe4
4,691
py
Python
solum/api/controllers/v1/assembly.py
devdattakulkarni/test-solum
4e9ddb82d217116aa2c30a6f2581080cbdfae325
[ "Apache-2.0" ]
null
null
null
solum/api/controllers/v1/assembly.py
devdattakulkarni/test-solum
4e9ddb82d217116aa2c30a6f2581080cbdfae325
[ "Apache-2.0" ]
null
null
null
solum/api/controllers/v1/assembly.py
devdattakulkarni/test-solum
4e9ddb82d217116aa2c30a6f2581080cbdfae325
[ "Apache-2.0" ]
null
null
null
# Copyright 2013 - Red Hat, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writ...
39.420168
77
0.675336
566
4,691
5.413428
0.305654
0.032311
0.039164
0.052872
0.461815
0.421997
0.389687
0.389687
0.361619
0.359661
0
0.005884
0.239181
4,691
118
78
39.754237
0.85262
0.186741
0
0.3125
0
0
0.025232
0
0
0
0
0.008475
0
1
0.1
false
0
0.1375
0
0.35
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0dbf6e6b17f8d31b9acfaa5334ab33b086914a3
1,379
py
Python
src/agility/usc/settings.py
bobbyluig/6.A01
16dd8963951eca4a1312a15c216d0cc3c117d063
[ "MIT" ]
null
null
null
src/agility/usc/settings.py
bobbyluig/6.A01
16dd8963951eca4a1312a15c216d0cc3c117d063
[ "MIT" ]
null
null
null
src/agility/usc/settings.py
bobbyluig/6.A01
16dd8963951eca4a1312a15c216d0cc3c117d063
[ "MIT" ]
1
2021-02-24T07:13:01.000Z
2021-02-24T07:13:01.000Z
from agility.usc.enumeration import uscSerialMode, ChannelMode, HomeMode from agility.usc.reader import BytecodeReader class UscSettings: def __init__(self): self.servosAvailable = 6 self.servoPeriod = 156 self.miniMaestroServoPeriod = 80000 self.servoMultiplier = 1 self.se...
29.340426
73
0.636693
138
1,379
6.23913
0.485507
0.046458
0.03252
0.034843
0
0
0
0
0
0
0
0.041837
0.28934
1,379
46
74
29.978261
0.836735
0
0
0.1
0
0
0
0
0
0
0
0
0
1
0.1
false
0
0.05
0.025
0.225
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e0334b9f18fc8e44cf7c368bc6aba17a751a2d
1,123
py
Python
app/app8_18mix/h_noSeqSearch.py
ameenetemady/DeepPep
121826309667f1290fa1121746a2992943d0927b
[ "Apache-2.0" ]
1
2020-05-30T06:01:50.000Z
2020-05-30T06:01:50.000Z
app/app8_18mix/h_noSeqSearch.py
ameenetemady/DeepPep
121826309667f1290fa1121746a2992943d0927b
[ "Apache-2.0" ]
null
null
null
app/app8_18mix/h_noSeqSearch.py
ameenetemady/DeepPep
121826309667f1290fa1121746a2992943d0927b
[ "Apache-2.0" ]
1
2019-10-20T21:11:48.000Z
2019-10-20T21:11:48.000Z
import sys import csv import os sys.path.append('../../') import h_lib import h_lib_noSeqSearch in_strFastaFilename = '{!s}/data/protein/18mix/18mix_db_plus_contaminants_20081209.fasta'.format(os.environ.get('HOME')) in_strPeptideFilename = '{!s}/data/protein/18mix/18_mixtures_peptide_identification.txt'.format(os.en...
38.724138
120
0.782725
146
1,123
5.808219
0.513699
0.037736
0.049528
0.040094
0.051887
0
0
0
0
0
0
0.022439
0.087266
1,123
28
121
40.107143
0.804878
0.145147
0
0
0
0
0.216527
0.132845
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0.05
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e04165ecde0d603bc47e0b5c5deaa17a56ab3a
700
py
Python
normalizer.py
ashokn414/python_floating_conversions
7a132c703272e6651daf555816171f04ee5b5555
[ "Apache-2.0" ]
null
null
null
normalizer.py
ashokn414/python_floating_conversions
7a132c703272e6651daf555816171f04ee5b5555
[ "Apache-2.0" ]
null
null
null
normalizer.py
ashokn414/python_floating_conversions
7a132c703272e6651daf555816171f04ee5b5555
[ "Apache-2.0" ]
null
null
null
# for normalization we need to have the maxima of x and y values with the help of which # we can normalise the given values import csv filename = "values.csv" fields = [] rows = [] with open(filename,'r') as csvfile: reader = csv.reader(csvfile) fields = next(reader) for row in reader: ...
26.923077
89
0.615714
115
700
3.747826
0.478261
0.034803
0.037123
0.083527
0.055684
0
0
0
0
0
0
0.005758
0.255714
700
26
90
26.923077
0.821497
0.291429
0
0
0
0
0.164882
0
0
0
0
0
0
1
0
false
0
0.052632
0
0.052632
0.105263
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e23eae8f30892f74e1745a5cf500f5f0c7d685
3,477
py
Python
pygdp/fwgs.py
jiwalker-usgs/pyGDP
dca4789fb0c53c889d6fa1b38ec867bc939a2d04
[ "CC0-1.0" ]
null
null
null
pygdp/fwgs.py
jiwalker-usgs/pyGDP
dca4789fb0c53c889d6fa1b38ec867bc939a2d04
[ "CC0-1.0" ]
null
null
null
pygdp/fwgs.py
jiwalker-usgs/pyGDP
dca4789fb0c53c889d6fa1b38ec867bc939a2d04
[ "CC0-1.0" ]
null
null
null
from pygdp import _execute_request from pygdp import _get_geotype from owslib.util import log def submitFeatureWeightedGridStatistics(geoType, dataSetURI, varID, startTime, endTime, attribute, value, gmlIDs, verbose, coverage, delim, stat, grpby, timeStep, summAttr, weighted, WF...
39.965517
157
0.595628
370
3,477
5.454054
0.372973
0.023786
0.035679
0.051536
0.170466
0.170466
0.170466
0.135778
0.135778
0.135778
0
0.00608
0.29048
3,477
86
158
40.430233
0.811917
0.094334
0
0.112903
0
0.032258
0.225257
0.06491
0
0
0
0
0
1
0.016129
false
0
0.048387
0
0.096774
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e3e3c9acda1bb91d2a503dbb2cdcf350023dcd
45,861
py
Python
wizbot.py
Wizard-Of-Chaos/WizardBot
75a2e482c7d7921e9a06dde4d210c68330c6fbe2
[ "MIT" ]
null
null
null
wizbot.py
Wizard-Of-Chaos/WizardBot
75a2e482c7d7921e9a06dde4d210c68330c6fbe2
[ "MIT" ]
null
null
null
wizbot.py
Wizard-Of-Chaos/WizardBot
75a2e482c7d7921e9a06dde4d210c68330c6fbe2
[ "MIT" ]
null
null
null
#WIZARD BOT IS LIVE import calendar import discord as dc from discord.ext.commands import Bot from discord.ext import commands from functools import partial import asyncio as aio import time from random import randint from datetime import datetime from discord.ext import commands from guildconfig import GuildConfig f...
48.788298
151
0.536556
5,673
45,861
4.26159
0.121805
0.053938
0.080907
0.051084
0.553069
0.517704
0.48362
0.452308
0.442422
0.432081
0
0.021031
0.349927
45,861
940
152
48.788298
0.78989
0.070256
0
0.496871
0
0.006258
0.209737
0.003454
0
0
0
0
0
1
0.035044
false
0.002503
0.015019
0.015019
0.093867
0.002503
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e4e551502750847910375c9545b7c251613085
2,775
py
Python
ProyectoDAI/settings.py
javiergarridomellado/proyectodai
64944d10f543c3094630056906b5f101a73bdd7b
[ "Apache-2.0" ]
1
2019-08-21T17:21:13.000Z
2019-08-21T17:21:13.000Z
ProyectoDAI/settings.py
javiergarridomellado/proyectodai
64944d10f543c3094630056906b5f101a73bdd7b
[ "Apache-2.0" ]
null
null
null
ProyectoDAI/settings.py
javiergarridomellado/proyectodai
64944d10f543c3094630056906b5f101a73bdd7b
[ "Apache-2.0" ]
null
null
null
""" Django settings for TusPachangas project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ import django import dj_database_url # Build paths inside the project li...
25.458716
131
0.735856
353
2,775
5.665722
0.453258
0.065
0.066
0.075
0.16
0.1345
0.1135
0.1135
0.04
0
0
0.023977
0.128288
2,775
108
132
25.694444
0.802811
0.312793
0
0
0
0.033898
0.45778
0.358471
0
0
0
0
0
1
0
false
0
0.050847
0
0.050847
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e63ae87cd65917f81764b65113935c80fb3646
1,150
py
Python
util.py
monokim/CheesyBullets
eeb5a79a69936701ff7962b846e6310f7df91cb0
[ "BSD-3-Clause" ]
1
2021-09-28T01:02:31.000Z
2021-09-28T01:02:31.000Z
util.py
monokim/CheesyBullets
eeb5a79a69936701ff7962b846e6310f7df91cb0
[ "BSD-3-Clause" ]
null
null
null
util.py
monokim/CheesyBullets
eeb5a79a69936701ff7962b846e6310f7df91cb0
[ "BSD-3-Clause" ]
1
2021-09-28T01:02:32.000Z
2021-09-28T01:02:32.000Z
import time import pyautogui import win32gui def get_screen_rect(caption='CheesyBullets'): hwnd = win32gui.FindWindow(None, caption) rect = win32gui.GetWindowRect(hwnd) screen_rect = (rect[0], rect[1], rect[2] - rect[0], rect[3] - rect[1]) return rect class Timer(): def __init__(self): sel...
26.744186
74
0.508696
144
1,150
3.993056
0.340278
0.093913
0.026087
0.036522
0.276522
0.276522
0.276522
0.276522
0.276522
0.276522
0
0.025921
0.362609
1,150
42
75
27.380952
0.758527
0
0
0.428571
0
0
0.046957
0
0
0
0
0
0
1
0.142857
false
0
0.085714
0
0.285714
0.057143
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e7c60f7d5d1f6c613e5dbae742091e0b76d703
2,301
py
Python
Gelatin/parser/Parser.py
Etherbay/Gelatin
d2afa85a48034d6ee34580e49e16542f31ad208e
[ "MIT" ]
107
2015-01-26T21:37:57.000Z
2022-02-25T16:28:44.000Z
Gelatin/parser/Parser.py
Etherbay/Gelatin
d2afa85a48034d6ee34580e49e16542f31ad208e
[ "MIT" ]
20
2015-11-23T14:09:37.000Z
2021-02-11T17:57:24.000Z
Gelatin/parser/Parser.py
Etherbay/Gelatin
d2afa85a48034d6ee34580e49e16542f31ad208e
[ "MIT" ]
34
2015-01-05T18:47:34.000Z
2020-12-13T06:47:26.000Z
# Copyright (c) 2010-2017 Samuel Abels # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, d...
40.368421
80
0.704911
313
2,301
5.102236
0.460064
0.055103
0.016281
0
0
0
0
0
0
0
0
0.005488
0.20817
2,301
56
81
41.089286
0.871021
0.459365
0
0
0
0
0.064542
0
0
0
0
0
0
1
0.096774
false
0
0.225806
0
0.419355
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0e93ce753097ffb23fb7c437281488fb715e819
308
py
Python
C03-Unit-Testing/21-C03V15/utils.py
dirchev/Python-101-Forever-1
13c3bb182747aae244ae6f9fd6f79c8223f3e9a6
[ "MIT" ]
59
2021-02-05T10:40:08.000Z
2022-01-26T08:30:43.000Z
C03-Unit-Testing/21-C03V15/utils.py
dirchev/Python-101-Forever-1
13c3bb182747aae244ae6f9fd6f79c8223f3e9a6
[ "MIT" ]
null
null
null
C03-Unit-Testing/21-C03V15/utils.py
dirchev/Python-101-Forever-1
13c3bb182747aae244ae6f9fd6f79c8223f3e9a6
[ "MIT" ]
10
2021-02-13T16:50:26.000Z
2022-03-20T12:17:00.000Z
BIG_CONSTANT = "YES" def group_by(xs, grouper): groups = {} for x in xs: group = grouper(x) if group not in groups: groups[group] = [] groups[group].append(x) return groups print(group_by([1, 2, 3, 4, 5, 6], lambda x: "even" if x % 2 == 0 else "odd"))
16.210526
78
0.529221
47
308
3.404255
0.595745
0.0875
0
0
0
0
0
0
0
0
0
0.038462
0.324675
308
18
79
17.111111
0.730769
0
0
0
0
0
0.032468
0
0
0
0
0
0
1
0.1
false
0
0
0
0.2
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0eb718b5df49f7654c2a9064eafc5186c980c9e
3,721
py
Python
pipeline/test_sftp_to_s3.py
streamsets/datacollector-tests-external
6f255b5e7496deeef333b57a5e9df4911ba3ef00
[ "Apache-2.0" ]
1
2020-04-14T03:01:51.000Z
2020-04-14T03:01:51.000Z
pipeline/test_sftp_to_s3.py
streamsets/datacollector-tests-external
6f255b5e7496deeef333b57a5e9df4911ba3ef00
[ "Apache-2.0" ]
null
null
null
pipeline/test_sftp_to_s3.py
streamsets/datacollector-tests-external
6f255b5e7496deeef333b57a5e9df4911ba3ef00
[ "Apache-2.0" ]
1
2019-09-14T08:30:23.000Z
2019-09-14T08:30:23.000Z
# Copyright 2019 StreamSets Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writi...
42.770115
133
0.742274
546
3,721
4.804029
0.360806
0.036599
0.032024
0.0244
0.060999
0.033549
0.033549
0.033549
0.033549
0.033549
0
0.022772
0.173878
3,721
86
134
43.267442
0.830514
0.318463
0
0
0
0
0.106753
0.055398
0
0
0
0
0.044444
1
0.022222
false
0
0.2
0
0.222222
0.022222
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ed1ce1a37b62c8113cea099de0a407123519d8
950
py
Python
terra/tests/__init__.py
NoahRJohnson/terra
131954ee42fb5905ceff35101e34d89c5eb6de6c
[ "MIT" ]
null
null
null
terra/tests/__init__.py
NoahRJohnson/terra
131954ee42fb5905ceff35101e34d89c5eb6de6c
[ "MIT" ]
null
null
null
terra/tests/__init__.py
NoahRJohnson/terra
131954ee42fb5905ceff35101e34d89c5eb6de6c
[ "MIT" ]
null
null
null
import os # Use this as a package level setup def load_tests(loader, standard_tests, pattern): if os.environ.get('TERRA_UNITTEST', None) != "1": print('WARNING: Running terra tests without setting TERRA_UNITTEST will ' 'result in side effects such as extraneouse log files being ' 'generated'...
38
77
0.749474
139
950
4.971223
0.57554
0.075253
0.052098
0.075253
0.254703
0.254703
0.254703
0.254703
0.254703
0.254703
0
0.001279
0.176842
950
24
78
39.583333
0.882353
0.332632
0
0.307692
0
0
0.242424
0
0
0
0
0
0
1
0.076923
false
0
0.076923
0
0.230769
0.076923
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0edc031d7ad458b3382ce23bb1ea18d6941bcf3
392
py
Python
icons/svg2png.py
benburrill/formiko
86630506c537f9517666d9b0d5b2a905e7385b01
[ "BSD-3-Clause" ]
116
2016-07-13T00:35:35.000Z
2022-02-22T15:46:44.000Z
icons/svg2png.py
benburrill/formiko
86630506c537f9517666d9b0d5b2a905e7385b01
[ "BSD-3-Clause" ]
32
2018-01-23T13:50:27.000Z
2022-03-30T05:34:56.000Z
icons/svg2png.py
benburrill/formiko
86630506c537f9517666d9b0d5b2a905e7385b01
[ "BSD-3-Clause" ]
8
2018-12-21T13:45:36.000Z
2021-11-07T22:40:05.000Z
# -*- coding: utf-8 -*- from gi.repository.GdkPixbuf import Pixbuf from os import makedirs def main(): for size in (16, 22, 24, 32, 48, 64, 128, 256, 512): icon = Pixbuf.new_from_file_at_scale("formiko.svg", size, size, True) makedirs("%dx%d" % (size, size)) icon.savev("%dx%d/formiko.png"...
24.5
77
0.591837
57
392
3.859649
0.684211
0.109091
0
0
0
0
0
0
0
0
0
0.071895
0.219388
392
15
78
26.133333
0.647059
0.053571
0
0
0
0
0.119241
0
0
0
0
0
0
1
0.111111
false
0
0.222222
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ef4cd1fe213247f6cb053cb5a43dff995c8928
5,778
py
Python
etna/transforms/decomposition/trend.py
tinkoff-ai/etna-ts
ded5161ed49f5c2697778825f899842ee30c6c61
[ "Apache-2.0" ]
96
2021-09-05T06:29:34.000Z
2021-11-07T15:22:54.000Z
etna/transforms/decomposition/trend.py
geopars/etna
ded5161ed49f5c2697778825f899842ee30c6c61
[ "Apache-2.0" ]
188
2021-09-06T15:59:58.000Z
2021-11-17T09:34:16.000Z
etna/transforms/decomposition/trend.py
geopars/etna
ded5161ed49f5c2697778825f899842ee30c6c61
[ "Apache-2.0" ]
8
2021-09-06T09:18:35.000Z
2021-11-11T21:18:39.000Z
from typing import Optional import pandas as pd from ruptures import Binseg from ruptures.base import BaseCost from sklearn.linear_model import LinearRegression from etna.transforms.base import PerSegmentWrapper from etna.transforms.decomposition.change_points_trend import BaseEstimator from etna.transforms.decomposi...
31.232432
122
0.606265
630
5,778
5.28254
0.206349
0.059495
0.081731
0.055288
0.417969
0.399038
0.379207
0.356971
0.288462
0.288462
0
0.001782
0.320007
5,778
184
123
31.402174
0.845253
0.338525
0
0.406977
0
0
0.008998
0.008377
0
0
0
0
0
1
0.05814
false
0
0.104651
0
0.22093
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f004be552defdc3e85fe514fc0037369c084b9
4,027
py
Python
argopy/tests/test_fetchers_facade_index.py
schwehr/argopy
1b35d5cfb87b2f9ccd2ca45b9987a614edd30700
[ "Apache-2.0" ]
null
null
null
argopy/tests/test_fetchers_facade_index.py
schwehr/argopy
1b35d5cfb87b2f9ccd2ca45b9987a614edd30700
[ "Apache-2.0" ]
null
null
null
argopy/tests/test_fetchers_facade_index.py
schwehr/argopy
1b35d5cfb87b2f9ccd2ca45b9987a614edd30700
[ "Apache-2.0" ]
null
null
null
import xarray as xr import pytest import warnings import argopy from argopy import IndexFetcher as ArgoIndexFetcher from argopy.errors import InvalidFetcherAccessPoint, InvalidFetcher, ErddapServerError, DataNotFound from . import ( AVAILABLE_INDEX_SOURCES, requires_fetcher_index, requires_connected_erddap...
35.955357
100
0.674696
503
4,027
5.159046
0.256461
0.029672
0.027746
0.03237
0.536416
0.519075
0.45896
0.45896
0.350289
0.350289
0
0.025722
0.218028
4,027
111
101
36.279279
0.798349
0.132108
0
0.308642
0
0
0.090358
0.020785
0
0
0
0.009009
0.037037
1
0.135802
false
0
0.08642
0
0.296296
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f00c9b59cb978159364c5072c66c216bf67f98
968
py
Python
custom_components/acthor/config_flow.py
jatty/hass-acthor
9d5aaed3f01e9288fef031b47b0808e6e80c22d3
[ "MIT" ]
null
null
null
custom_components/acthor/config_flow.py
jatty/hass-acthor
9d5aaed3f01e9288fef031b47b0808e6e80c22d3
[ "MIT" ]
null
null
null
custom_components/acthor/config_flow.py
jatty/hass-acthor
9d5aaed3f01e9288fef031b47b0808e6e80c22d3
[ "MIT" ]
null
null
null
import voluptuous as vol from homeassistant.config_entries import ConfigFlow from homeassistant.const import CONF_HOST, CONF_NAME from .acthor import test_connection from .const import DEVICE_NAME, DOMAIN class ACThorConfigFlow(ConfigFlow, domain=DOMAIN): async def async_step_user(self, user_input: dict = None) ...
32.266667
72
0.597107
109
968
5.073395
0.46789
0.081374
0.047016
0
0
0
0
0
0
0
0
0.001529
0.32438
968
29
73
33.37931
0.844037
0
0
0
0
0
0.025826
0
0
0
0
0
0
1
0
false
0
0.2
0
0.32
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f0a9e1fa344475b21cf62a27dc93bb2296049d
356
py
Python
doajtest/fixtures/common.py
glauberm/doaj
dc24dfcbf4a9f02ce5c9b09b611a5766ea5742f7
[ "Apache-2.0" ]
null
null
null
doajtest/fixtures/common.py
glauberm/doaj
dc24dfcbf4a9f02ce5c9b09b611a5766ea5742f7
[ "Apache-2.0" ]
null
null
null
doajtest/fixtures/common.py
glauberm/doaj
dc24dfcbf4a9f02ce5c9b09b611a5766ea5742f7
[ "Apache-2.0" ]
null
null
null
NOTES = { 'notes': [ {'date': '2014-05-22T00:00:00Z', 'note': 'Second Note'}, {'date': '2014-05-21T14:02:45Z', 'note': 'First Note'} ] } SUBJECT = { "subject": ['HB1-3840', 'H'] } OWNER = { "owner": "Owner" } EDITORIAL = { "editor_group": "editorgroup", "editor": "associate" }...
14.833333
64
0.5
38
356
4.631579
0.684211
0.090909
0.113636
0
0
0
0
0
0
0
0
0.125
0.258427
356
23
65
15.478261
0.541667
0
0
0
0
0
0.435393
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f1a06f3be393877c548f9dcd340350faeb7ed3
46,397
py
Python
docnado/docnado.py
HEInventions/docnado
8817d8a9856b4babd9a2f81678a9ef0b8a75d4bc
[ "MIT" ]
78
2018-10-09T16:28:26.000Z
2022-02-24T15:25:26.000Z
docnado/docnado.py
HEInventions/docnado
8817d8a9856b4babd9a2f81678a9ef0b8a75d4bc
[ "MIT" ]
27
2018-11-01T16:30:50.000Z
2022-02-22T14:36:11.000Z
docnado/docnado.py
HEInventions/docnado
8817d8a9856b4babd9a2f81678a9ef0b8a75d4bc
[ "MIT" ]
9
2018-11-06T18:50:51.000Z
2020-10-24T00:56:16.000Z
""" docnado.py A rapid documentation tool that will blow you away. """ import os import re import sys import csv import glob import time import signal import shutil import urllib import base64 import hashlib import argparse import tempfile import datetime import threading import traceback import subprocess import pl...
37.782573
128
0.613078
5,932
46,397
4.665374
0.15408
0.014092
0.007949
0.004553
0.221102
0.171635
0.137416
0.12383
0.11364
0.099801
0
0.005587
0.274802
46,397
1,227
129
37.813366
0.816923
0.202125
0
0.199749
0
0
0.131407
0.022241
0
0
0
0.000815
0
1
0.072864
false
0.003769
0.046482
0.005025
0.209799
0.04397
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f7703f7d61c2e287ab471ebd07742e1540f442
15,577
py
Python
mkt/search/tests/test_filters.py
clouserw/zamboni
c4a568b69c1613f27da41d46328b2975cbdc1c07
[ "BSD-3-Clause" ]
null
null
null
mkt/search/tests/test_filters.py
clouserw/zamboni
c4a568b69c1613f27da41d46328b2975cbdc1c07
[ "BSD-3-Clause" ]
null
null
null
mkt/search/tests/test_filters.py
clouserw/zamboni
c4a568b69c1613f27da41d46328b2975cbdc1c07
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- import json from nose.tools import eq_, ok_ from rest_framework.exceptions import ParseError from django.contrib.auth.models import AnonymousUser from django.test.client import RequestFactory from django.test.utils import override_settings import mkt from mkt.constants.applications import DEV...
39.737245
79
0.560506
1,748
15,577
4.81865
0.16476
0.056987
0.065535
0.089754
0.480708
0.416123
0.375163
0.327081
0.288496
0.237089
0
0.002323
0.253964
15,577
391
80
39.838875
0.722485
0.05521
0
0.314879
0
0
0.2099
0.00588
0
0
0
0
0.00346
1
0.138408
false
0
0.048443
0.00346
0.262976
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0f8b6be8671efa3ab8fb691c490862ecc07081d
668
py
Python
noxfile.py
sethmlarson/workplace-search-python
0680ce7144fc0608d3d8c336315ffaf7ddc3ca2d
[ "Apache-2.0" ]
5
2020-03-05T16:37:35.000Z
2021-02-26T03:44:09.000Z
noxfile.py
sethmlarson/workplace-search-python
0680ce7144fc0608d3d8c336315ffaf7ddc3ca2d
[ "Apache-2.0" ]
1
2019-01-08T20:10:16.000Z
2019-01-08T20:10:16.000Z
noxfile.py
sethmlarson/workplace-search-python
0680ce7144fc0608d3d8c336315ffaf7ddc3ca2d
[ "Apache-2.0" ]
1
2020-04-22T18:20:26.000Z
2020-04-22T18:20:26.000Z
import nox SOURCE_FILES = ( "setup.py", "noxfile.py", "elastic_workplace_search/", "tests/", ) @nox.session(python=["2.7", "3.4", "3.5", "3.6", "3.7", "3.8"]) def test(session): session.install(".") session.install("-r", "dev-requirements.txt") session.run("pytest", "--record-mode=none"...
20.242424
82
0.609281
88
668
4.556818
0.511364
0.109726
0.157107
0.099751
0
0
0
0
0
0
0
0.028419
0.157186
668
32
83
20.875
0.683837
0
0
0.090909
0
0
0.288922
0.037425
0
0
0
0
0
1
0.136364
false
0
0.045455
0
0.181818
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fb958c05e67ba3756a0924303bc1ac81028564
644
py
Python
challenges/python-solutions/day-25.py
elifloresch/thirty-days-challenge
d3d41f5ce8cc4155ebf9cf52c1ece43c15a1e2af
[ "MIT" ]
null
null
null
challenges/python-solutions/day-25.py
elifloresch/thirty-days-challenge
d3d41f5ce8cc4155ebf9cf52c1ece43c15a1e2af
[ "MIT" ]
null
null
null
challenges/python-solutions/day-25.py
elifloresch/thirty-days-challenge
d3d41f5ce8cc4155ebf9cf52c1ece43c15a1e2af
[ "MIT" ]
null
null
null
import math def is_prime_number(number): if number < 2: return False if number == 2 or number == 3: return True if number % 2 == 0 or number % 3 == 0: return False number_sqrt = math.sqrt(number) int_number_sqrt = int(number_sqrt) + 1 for d in range(6, int_number_sq...
19.515152
58
0.57764
96
644
3.739583
0.333333
0.089136
0.075209
0.050139
0
0
0
0
0
0
0
0.03139
0.307453
644
32
59
20.125
0.773543
0
0
0.217391
0
0
0.021739
0
0
0
0
0
0
1
0.043478
false
0
0.043478
0
0.304348
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fbf814aa561afb0f3e8aefc0b444cab5d08bda
1,265
py
Python
examples/path_config.py
rnixx/garden.cefpython
91d5f69e9983a28ce1971637d7d2f0051c456882
[ "MIT" ]
13
2017-02-10T12:07:29.000Z
2021-12-15T02:07:07.000Z
examples/path_config.py
Informatic/garden.cefpython
b7a03d31fd18a32a44ae293d4101b4cf7608795b
[ "MIT" ]
22
2015-02-13T09:58:30.000Z
2015-06-12T08:55:20.000Z
examples/path_config.py
Informatic/garden.cefpython
b7a03d31fd18a32a44ae293d4101b4cf7608795b
[ "MIT" ]
12
2017-05-03T01:18:31.000Z
2021-10-01T06:57:41.000Z
#!/usr/bin/env python # -*- coding: UTF-8 -*- """ Minimal example of the CEFBrowser widget use. Here you don't have any controls (back / forth / reload) or whatsoever. Just a kivy app displaying the chromium-webview. In this example we demonstrate how the cache path of CEF can be set. """ import os from kivy.app im...
34.189189
78
0.656917
167
1,265
4.820359
0.502994
0.064596
0.049689
0.089441
0.104348
0
0
0
0
0
0
0.00102
0.225296
1,265
36
79
35.138889
0.820408
0.416601
0
0
0
0
0.176796
0
0
0
0
0
0
1
0.066667
false
0
0.266667
0
0.466667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fc122c2f5c222700dce3588b9faccba2d8800b
312
py
Python
simple-systems/and_xor_shift.py
laserbat/random-projects
925f94f80299df6f16e91975e89f5fff7df20005
[ "WTFPL" ]
3
2019-04-14T12:29:10.000Z
2020-02-26T22:27:04.000Z
simple-systems/and_xor_shift.py
laserbat/random-projects
925f94f80299df6f16e91975e89f5fff7df20005
[ "WTFPL" ]
null
null
null
simple-systems/and_xor_shift.py
laserbat/random-projects
925f94f80299df6f16e91975e89f5fff7df20005
[ "WTFPL" ]
1
2020-06-08T22:12:16.000Z
2020-06-08T22:12:16.000Z
#!/usr/bin/python3 # If F(a) is any function that can be defined as composition of bitwise XORs, ANDs and left shifts # Then the dynac system x_(n+1) = F(x_n) is Turing complete # Proof by simulation (rule110) a = 1 while a: print(bin(a)) a = a ^ (a << 1) ^ (a & (a << 1)) ^ (a & (a << 1) & (a << 2))
26
98
0.589744
58
312
3.137931
0.655172
0.054945
0.049451
0.065934
0.054945
0.054945
0.054945
0
0
0
0
0.042373
0.24359
312
11
99
28.363636
0.728814
0.647436
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.25
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fc7fc48d25fb30b40c2e42b598b6eff6d50954
5,543
py
Python
trinity/protocol/common/peer_pool_event_bus.py
Gauddel/trinity
0b12943ac36f4090abc22fc965e9e9a4f42c6f35
[ "MIT" ]
null
null
null
trinity/protocol/common/peer_pool_event_bus.py
Gauddel/trinity
0b12943ac36f4090abc22fc965e9e9a4f42c6f35
[ "MIT" ]
null
null
null
trinity/protocol/common/peer_pool_event_bus.py
Gauddel/trinity
0b12943ac36f4090abc22fc965e9e9a4f42c6f35
[ "MIT" ]
null
null
null
from abc import ( abstractmethod, ) from typing import ( Any, Callable, cast, FrozenSet, Generic, Type, TypeVar, ) from cancel_token import ( CancelToken, ) from p2p.exceptions import ( PeerConnectionLost, ) from p2p.kademlia import Node from p2p.peer import ( BasePeer, ...
33.391566
99
0.625293
612
5,543
5.485294
0.303922
0.023831
0.021448
0.020256
0.191838
0.166816
0.137623
0.116771
0.088174
0.088174
0
0.002569
0.297853
5,543
165
100
33.593939
0.859969
0.13296
0
0.20339
0
0
0.036954
0
0
0
0
0
0
1
0.025424
false
0.025424
0.09322
0
0.161017
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fe475b8134a31f2b77a708e5769cd268cfc749
18,488
py
Python
tests/e2e/performance/csi_tests/test_pvc_creation_deletion_performance.py
annagitel/ocs-ci
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
[ "MIT" ]
1
2019-09-17T08:38:05.000Z
2019-09-17T08:38:05.000Z
tests/e2e/performance/csi_tests/test_pvc_creation_deletion_performance.py
annagitel/ocs-ci
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
[ "MIT" ]
1
2021-08-30T20:06:00.000Z
2021-09-30T20:05:46.000Z
tests/e2e/performance/csi_tests/test_pvc_creation_deletion_performance.py
annagitel/ocs-ci
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
[ "MIT" ]
2
2019-09-17T10:04:14.000Z
2022-02-07T16:36:49.000Z
""" Test to verify performance of PVC creation and deletion for RBD, CephFS and RBD-Thick interfaces """ import time import logging import datetime import pytest import ocs_ci.ocs.exceptions as ex import threading import statistics from concurrent.futures import ThreadPoolExecutor from uuid import uuid4 from ocs_ci.fr...
38.119588
119
0.59855
2,140
18,488
4.938318
0.164019
0.039743
0.013248
0.029523
0.370553
0.293906
0.222937
0.205905
0.135503
0.100114
0
0.007208
0.317179
18,488
484
120
38.198347
0.829927
0.146906
0
0.274854
0
0
0.16204
0.020148
0
0
0
0
0.002924
1
0.026316
false
0
0.046784
0
0.087719
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0fe959730942d4fbe3c43eb35ca77c0cc852bbc
1,233
py
Python
templates/t/searchresult_withnone.py
MikeBirdsall/food-log
5edc1fa515d5e2721e96afb7d2b437296903a31d
[ "MIT" ]
null
null
null
templates/t/searchresult_withnone.py
MikeBirdsall/food-log
5edc1fa515d5e2721e96afb7d2b437296903a31d
[ "MIT" ]
27
2017-07-01T19:20:48.000Z
2019-03-07T06:04:22.000Z
templates/t/searchresult_withnone.py
MikeBirdsall/food-log
5edc1fa515d5e2721e96afb7d2b437296903a31d
[ "MIT" ]
null
null
null
#!/usr/bin/python3 from jinja2 import Environment, FileSystemLoader def spacenone(value): return "" if value is None else str(value) results = [ dict( description="Noodles and Company steak Stromboli", comment="", size="small", cals=530, carbs=50, fat=25, ...
19.887097
58
0.544201
132
1,233
5.060606
0.583333
0.08982
0.049401
0.098802
0.197605
0.197605
0.137725
0.137725
0
0
0
0.052885
0.325223
1,233
61
59
20.213115
0.75
0.013788
0
0.294118
0
0
0.160626
0
0
0
0
0
0
1
0.019608
false
0
0.019608
0.019608
0.058824
0.019608
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ff8f36b2a500b9d978be307fa6e00f7161603f
2,146
py
Python
payments/views.py
aman-roy/pune.pycon.org
f56cc948bd56767110d337c694ecbf5540bdf4b9
[ "MIT" ]
null
null
null
payments/views.py
aman-roy/pune.pycon.org
f56cc948bd56767110d337c694ecbf5540bdf4b9
[ "MIT" ]
null
null
null
payments/views.py
aman-roy/pune.pycon.org
f56cc948bd56767110d337c694ecbf5540bdf4b9
[ "MIT" ]
null
null
null
from django.http import JsonResponse from django.views.decorators.csrf import csrf_exempt from payments.models import Invoice, RazorpayKeys from payments.razorpay.razorpay_payments import RazorpayPayments from payments.models import Payment, Order import json @csrf_exempt def webhook(request): if request.method ...
40.490566
91
0.66356
237
2,146
5.835443
0.248945
0.07086
0.072307
0.049892
0.107014
0.107014
0.107014
0.107014
0.107014
0.107014
0
0.0012
0.223672
2,146
53
92
40.490566
0.828932
0
0
0.136364
0
0
0.101537
0
0
0
0
0
0
1
0.045455
false
0
0.136364
0
0.272727
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
e0ff97e8d61ff585dcd9a0102ba24b2e2528bca2
6,541
py
Python
src/convnet/image_classifier.py
danschef/gear-detector
153d1031778f183ac38edf0532d2f266029c5ea7
[ "MIT" ]
1
2020-07-15T20:12:55.000Z
2020-07-15T20:12:55.000Z
src/convnet/image_classifier.py
danschef/gear-detector
153d1031778f183ac38edf0532d2f266029c5ea7
[ "MIT" ]
null
null
null
src/convnet/image_classifier.py
danschef/gear-detector
153d1031778f183ac38edf0532d2f266029c5ea7
[ "MIT" ]
null
null
null
import configparser import os import sys from time import localtime, strftime, mktime import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable from net import Net from geo_helper import store_image_bounds from image_helper import CLASSES from image_helper import save_image f...
31.599034
92
0.581257
748
6,541
4.941176
0.262032
0.029221
0.021104
0.028409
0.214286
0.186147
0.139069
0.126082
0.093615
0.093615
0
0.010439
0.223819
6,541
206
93
31.752427
0.71755
0.105947
0
0.135593
0
0
0.186847
0.038586
0
0
0
0
0
1
0.050847
false
0
0.127119
0.008475
0.194915
0.09322
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
46004af1bf9a4f4788952ff849b76ab958f79e1c
3,035
py
Python
src/modules/AlphabetPlotter.py
aaanh/duplicated_accelcamp
7d4b60ace023bede907f8ed367ba492731a1951d
[ "FTL", "CNRI-Python", "RSA-MD" ]
null
null
null
src/modules/AlphabetPlotter.py
aaanh/duplicated_accelcamp
7d4b60ace023bede907f8ed367ba492731a1951d
[ "FTL", "CNRI-Python", "RSA-MD" ]
2
2021-05-21T16:31:41.000Z
2021-08-25T16:05:48.000Z
src/modules/AlphabetPlotter.py
aaanh/duplicated_accelcamp
7d4b60ace023bede907f8ed367ba492731a1951d
[ "FTL", "CNRI-Python", "RSA-MD" ]
null
null
null
import tkinter as tk from tkinter import filedialog import csv import matplotlib.pyplot as plt root = tk.Tk(screenName=':0.0') root.withdraw() file_path = filedialog.askopenfilename() lastIndex = len(file_path.split('/')) - 1 v0 = [0, 0, 0] x0 = [0, 0, 0] fToA = 1 error = 0.28 errorZ = 3 t = [] time...
29.182692
106
0.577595
494
3,035
3.479757
0.202429
0.027923
0.041885
0.051193
0.319372
0.200116
0.17103
0.14776
0.086097
0.066318
0
0.054545
0.23888
3,035
104
107
29.182692
0.68961
0.043163
0
0.216216
0
0
0.043517
0
0
0
0
0
0
1
0
false
0
0.054054
0
0.054054
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4604dc5f65cd5f7e83502d4f9fd70d81c2c12903
4,178
py
Python
cohesity_management_sdk/models/health_tile.py
nick6655/management-sdk-python
88e792cb83e5c24a22af495b220c145d0c45841d
[ "Apache-2.0" ]
18
2019-09-24T17:35:53.000Z
2022-03-25T08:08:47.000Z
cohesity_management_sdk/models/health_tile.py
nick6655/management-sdk-python
88e792cb83e5c24a22af495b220c145d0c45841d
[ "Apache-2.0" ]
18
2019-03-29T19:32:29.000Z
2022-01-03T23:16:45.000Z
cohesity_management_sdk/models/health_tile.py
nick6655/management-sdk-python
88e792cb83e5c24a22af495b220c145d0c45841d
[ "Apache-2.0" ]
16
2019-02-27T06:54:12.000Z
2021-11-16T18:10:24.000Z
# -*- coding: utf-8 -*- # Copyright 2021 Cohesity Inc. import cohesity_management_sdk.models.alert class HealthTile(object): """Implementation of the 'HealthTile' model. Health for Dashboard. Attributes: capacity_bytes (long|int): Raw Cluster Capacity in Bytes. This is not usable ca...
38.330275
109
0.646003
476
4,178
5.359244
0.243697
0.063113
0.05488
0.060368
0.180713
0.044688
0.044688
0
0
0
0
0.002349
0.28674
4,178
108
110
38.685185
0.853691
0.319052
0
0
0
0
0.160622
0.049223
0
0
0
0
0
1
0.033898
false
0
0.016949
0
0.118644
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4606c41942e35425a62e84ea16612cc308900a33
10,472
py
Python
tests/test_exploration.py
lionelkusch/neurolib
714eef48616af0ebdb62decc84826221472398f9
[ "MIT" ]
null
null
null
tests/test_exploration.py
lionelkusch/neurolib
714eef48616af0ebdb62decc84826221472398f9
[ "MIT" ]
null
null
null
tests/test_exploration.py
lionelkusch/neurolib
714eef48616af0ebdb62decc84826221472398f9
[ "MIT" ]
null
null
null
import logging import os import random import string import time import unittest import neurolib.utils.paths as paths import neurolib.utils.pypetUtils as pu import numpy as np import pytest import xarray as xr from neurolib.models.aln import ALNModel from neurolib.models.fhn import FHNModel from neurolib.models.multim...
36.110345
120
0.629297
1,202
10,472
5.366057
0.197171
0.028992
0.013643
0.04093
0.52155
0.435504
0.425271
0.409147
0.385271
0.362946
0
0.020682
0.238159
10,472
289
121
36.235294
0.787791
0.061784
0
0.430693
0
0
0.081959
0.019897
0
0
0
0
0.128713
1
0.074257
false
0
0.089109
0
0.207921
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
46077178da4bf46135d1fc5fee2cb11b113e0b42
3,568
py
Python
irc3/tags.py
belst/irc3
c89303cf5937a4dc7cf1eda8e662dc702b5e0ad9
[ "MIT" ]
null
null
null
irc3/tags.py
belst/irc3
c89303cf5937a4dc7cf1eda8e662dc702b5e0ad9
[ "MIT" ]
null
null
null
irc3/tags.py
belst/irc3
c89303cf5937a4dc7cf1eda8e662dc702b5e0ad9
[ "MIT" ]
1
2018-07-22T18:40:37.000Z
2018-07-22T18:40:37.000Z
# -*- coding: utf-8 -*- ''' Module offering 2 functions, encode() and decode(), to transcode between IRCv3.2 tags and python dictionaries. ''' import re import random import string _escapes = ( ("\\", "\\\\"), (";", r"\:"), (" ", r"\s"), ("\r", r"\r"), ("\n", r"\n"), ) # make the possibility of...
28.31746
79
0.580998
457
3,568
4.474836
0.310722
0.046944
0.02934
0.031296
0.353056
0.334963
0.329095
0.283619
0.099756
0.099756
0
0.007653
0.230942
3,568
125
80
28.544
0.737609
0.504765
0
0.148148
0
0
0.104869
0
0
0
0
0
0
1
0.074074
false
0
0.055556
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
46085291ee66b159174d6179bad5ab2c5199a92f
28,019
py
Python
src/fedavg_trainer.py
MrZhang1994/mobile-federated-learning
6e088a91266d889869af5a1eb0bad83ca635a4a5
[ "Apache-2.0" ]
null
null
null
src/fedavg_trainer.py
MrZhang1994/mobile-federated-learning
6e088a91266d889869af5a1eb0bad83ca635a4a5
[ "Apache-2.0" ]
null
null
null
src/fedavg_trainer.py
MrZhang1994/mobile-federated-learning
6e088a91266d889869af5a1eb0bad83ca635a4a5
[ "Apache-2.0" ]
1
2021-07-06T04:53:06.000Z
2021-07-06T04:53:06.000Z
# newly added libraries import copy import wandb import time import math import csv import shutil from tqdm import tqdm import torch import numpy as np import pandas as pd from client import Client from config import * import scheduler as sch class FedAvgTrainer(object): def __init__(self, dataset, model, device...
52.965974
206
0.5891
3,562
28,019
4.353734
0.113139
0.021666
0.020763
0.018636
0.434421
0.350335
0.263735
0.201122
0.167913
0.150116
0
0.010086
0.302866
28,019
529
207
52.965974
0.783853
0.089582
0
0.205128
0
0.002564
0.076412
0.013728
0
0
0
0
0
1
0.023077
false
0
0.033333
0
0.074359
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
46087abee7bffbddb94f7edf7ace7481d6b4e5e7
15,539
py
Python
src/test.py
jfparentledartech/DEFT
6e7e98664cd635509bdff69533a24a7c4e4e3ea3
[ "MIT" ]
null
null
null
src/test.py
jfparentledartech/DEFT
6e7e98664cd635509bdff69533a24a7c4e4e3ea3
[ "MIT" ]
null
null
null
src/test.py
jfparentledartech/DEFT
6e7e98664cd635509bdff69533a24a7c4e4e3ea3
[ "MIT" ]
null
null
null
from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import time import cv2 import matplotlib.pyplot as plt import numpy as np from progress.bar import Bar import torch import pickle import motmetrics as mm from lib.opts import opts from lib.logger im...
36.137209
140
0.533882
1,783
15,539
4.394279
0.18396
0.030632
0.04365
0.010721
0.24314
0.203318
0.16388
0.138609
0.107084
0.09164
0
0.0132
0.34185
15,539
429
141
36.221445
0.752909
0.019821
0
0.138889
0
0.005556
0.110103
0.014921
0
0
0
0.002331
0
1
0.019444
false
0
0.055556
0.002778
0.086111
0.027778
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
460899f19cdb6ea7310d1622b1d7bbb727078007
8,796
py
Python
compiler_gym/envs/gcc/datasets/csmith.py
AkillesAILimited/CompilerGym
34c0933ba26b385ebd2cd67f5d8edbb046c6bf02
[ "MIT" ]
null
null
null
compiler_gym/envs/gcc/datasets/csmith.py
AkillesAILimited/CompilerGym
34c0933ba26b385ebd2cd67f5d8edbb046c6bf02
[ "MIT" ]
null
null
null
compiler_gym/envs/gcc/datasets/csmith.py
AkillesAILimited/CompilerGym
34c0933ba26b385ebd2cd67f5d8edbb046c6bf02
[ "MIT" ]
1
2021-10-01T05:52:34.000Z
2021-10-01T05:52:34.000Z
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import logging import shutil import subprocess import tempfile from pathlib import Path from threading import Lock from typing import Iterable,...
35.756098
98
0.620509
1,067
8,796
4.977507
0.324274
0.019582
0.020335
0.027114
0.123141
0.100358
0.041047
0.016946
0
0
0
0.010086
0.289905
8,796
245
99
35.902041
0.840218
0.309686
0
0.048611
0
0.006944
0.106824
0.022119
0
0
0
0.004082
0
1
0.090278
false
0
0.111111
0.041667
0.305556
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
46089e52d9f3438c0d2bdc953655d9f0dafbf49b
444
py
Python
dans_pymodules/power_of_two.py
DanielWinklehner/dans_pymodules
04dfdaeccc171712cad6eb24202608e2eda21eca
[ "MIT" ]
null
null
null
dans_pymodules/power_of_two.py
DanielWinklehner/dans_pymodules
04dfdaeccc171712cad6eb24202608e2eda21eca
[ "MIT" ]
null
null
null
dans_pymodules/power_of_two.py
DanielWinklehner/dans_pymodules
04dfdaeccc171712cad6eb24202608e2eda21eca
[ "MIT" ]
null
null
null
__author__ = "Daniel Winklehner" __doc__ = "Find out if a number is a power of two" def power_of_two(number): """ Function that checks if the input value (data) is a power of 2 (i.e. 2, 4, 8, 16, 32, ...) """ res = 0 while res == 0: res = number % 2 number /= 2.0 prin...
19.304348
66
0.529279
66
444
3.409091
0.575758
0.093333
0.071111
0.088889
0
0
0
0
0
0
0
0.051195
0.34009
444
22
67
20.181818
0.716724
0.202703
0
0
0
0
0.215569
0
0
0
0
0
0
1
0.090909
false
0
0
0
0.272727
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
460b1c41c9223f051fce73e3d45305d26f20419f
4,092
py
Python
api_yamdb/reviews/models.py
LHLHLHE/api_yamdb
bda83815a47f3fda03d54220dfe41e9263ff1b05
[ "MIT" ]
null
null
null
api_yamdb/reviews/models.py
LHLHLHE/api_yamdb
bda83815a47f3fda03d54220dfe41e9263ff1b05
[ "MIT" ]
null
null
null
api_yamdb/reviews/models.py
LHLHLHE/api_yamdb
bda83815a47f3fda03d54220dfe41e9263ff1b05
[ "MIT" ]
null
null
null
import datetime as dt from django.db import models from django.core.validators import MinValueValidator, MaxValueValidator from django.core.exceptions import ValidationError from users.models import CustomUser def validate_year(value): """ Год выпуска произведения не может быть больше текущего. """ ...
24.650602
77
0.608016
413
4,092
5.823245
0.285714
0.128067
0.040748
0.039917
0.441164
0.427027
0.384615
0.360499
0.321414
0.256133
0
0.005148
0.287879
4,092
165
78
24.8
0.820178
0.043255
0
0.389313
0
0
0.106729
0
0
0
0
0
0
1
0.053435
false
0
0.038168
0.045802
0.381679
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
460d6b3dd6eff2aa0cc70e0bbc8f6441baed0341
6,796
py
Python
makesense/graph.py
sieben/makesense
485e71903bcc9446482f21bb5d0c7a392ca1efca
[ "Apache-2.0" ]
5
2015-02-03T12:28:55.000Z
2019-03-20T08:11:22.000Z
makesense/graph.py
sieben/makesense
485e71903bcc9446482f21bb5d0c7a392ca1efca
[ "Apache-2.0" ]
4
2016-05-16T07:26:19.000Z
2016-06-23T22:22:10.000Z
makesense/graph.py
sieben/makesense
485e71903bcc9446482f21bb5d0c7a392ca1efca
[ "Apache-2.0" ]
1
2016-05-16T07:28:53.000Z
2016-05-16T07:28:53.000Z
# -*- coding: utf-8 -*- import json import pdb import os from os.path import join as pj import networkx as nx import pandas as pd from networkx.readwrite.json_graph import node_link_data def chain(): g = nx.Graph() # Horizontal for i in range(11, 15): g.add_edge(i, i + 1) for i in range(...
27.626016
82
0.59741
1,003
6,796
3.874377
0.217348
0.03088
0.057643
0.034225
0.306999
0.241894
0.221307
0.221307
0.199434
0.17473
0
0.026464
0.266039
6,796
245
83
27.738776
0.752606
0.074897
0
0.1
0
0
0.131274
0
0
0
0
0.008163
0
1
0.04375
false
0
0.04375
0
0.09375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
460e2d1d15ba01da3b9d59848ee03f3a71e7df89
5,511
py
Python
FFTNet_dilconv.py
mimbres/FFTNet
3a6bfb4731bab2e0a59fc3a1ddb55f19f84aeba2
[ "Apache-2.0" ]
null
null
null
FFTNet_dilconv.py
mimbres/FFTNet
3a6bfb4731bab2e0a59fc3a1ddb55f19f84aeba2
[ "Apache-2.0" ]
null
null
null
FFTNet_dilconv.py
mimbres/FFTNet
3a6bfb4731bab2e0a59fc3a1ddb55f19f84aeba2
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon May 7 09:46:10 2018 @author: sungkyun FFTNet model using 2x1 dil-conv """ import numpy as np import torch import torch.nn as nn import torch.nn.functional as F # Models with Preset (for convenience) ''' dim_input: dimension of input (256 for 8-bit mu-...
40.822222
147
0.551987
793
5,511
3.650694
0.253468
0.033161
0.033161
0.027634
0.296028
0.248359
0.240069
0.188256
0.142314
0.124698
0
0.045067
0.339684
5,511
135
148
40.822222
0.749382
0.189802
0
0.238806
0
0
0.00427
0
0
0
0
0
0
1
0.089552
false
0
0.059701
0.029851
0.268657
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4612cb4af177cb85c305bcbf02040e60659a77f5
3,008
py
Python
keras_textclassification/conf/path_config.py
atom-zh/Keras-TextClassification
26c549e8e23c6a10905c2dcef7eef557dc43c932
[ "MIT" ]
null
null
null
keras_textclassification/conf/path_config.py
atom-zh/Keras-TextClassification
26c549e8e23c6a10905c2dcef7eef557dc43c932
[ "MIT" ]
null
null
null
keras_textclassification/conf/path_config.py
atom-zh/Keras-TextClassification
26c549e8e23c6a10905c2dcef7eef557dc43c932
[ "MIT" ]
null
null
null
# -*- coding: UTF-8 -*- # !/usr/bin/python # @time :2019/6/5 21:04 # @author :Mo # @function :file of path import os import pathlib import sys # 项目的根目录 path_root = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)) path_root = path_root.replace('\\', '/') path_top = str(pathlib.P...
41.777778
94
0.772939
469
3,008
4.528785
0.221748
0.120527
0.158192
0.103578
0.53484
0.227401
0.126177
0.028249
0
0
0
0.024719
0.112367
3,008
71
95
42.366197
0.770787
0.101396
0
0
0
0
0.370214
0.366003
0
0
0
0
0
1
0
false
0
0.073171
0
0.073171
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4613a39367cc38fb7bf09761273d5ec4ce7cfaaf
5,540
py
Python
parser_tool/tests/test_htmlgenerator.py
Harvard-ATG/visualizing_russian_tools
e8e5cf8c5b7eee0b6855594ad41b3ccd70a2d467
[ "BSD-3-Clause" ]
2
2020-07-10T14:17:03.000Z
2020-11-17T09:18:26.000Z
parser_tool/tests/test_htmlgenerator.py
eelegiap/visualizing_russian_tools
9c36baebc384133c7c27d7a7c4e0cedc8cb84e74
[ "BSD-3-Clause" ]
13
2019-03-17T13:27:31.000Z
2022-01-18T17:03:14.000Z
parser_tool/tests/test_htmlgenerator.py
eelegiap/visualizing_russian_tools
9c36baebc384133c7c27d7a7c4e0cedc8cb84e74
[ "BSD-3-Clause" ]
2
2019-10-19T16:37:44.000Z
2020-06-22T13:30:20.000Z
# -*- coding: utf-8 -*- import unittest from xml.etree import ElementTree as ET from parser_tool import tokenizer from parser_tool import htmlgenerator class TestHtmlGenerator(unittest.TestCase): def _maketokendict(self, **kwargs): token_text = kwargs.get("token", "") token_dict = { ...
49.026549
192
0.658845
656
5,540
5.382622
0.179878
0.097706
0.110734
0.061456
0.533277
0.480317
0.448032
0.448032
0.448032
0.441518
0
0.015743
0.208845
5,540
112
193
49.464286
0.789185
0.079964
0
0.298851
0
0.011494
0.121855
0.014937
0
0
0
0
0.264368
1
0.08046
false
0
0.045977
0
0.149425
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4615c8d476cced9b6746382173a9829cad6f16c7
995
bzl
Python
external_plugin_deps.bzl
michalgagat/plugins_oauth
47cc344013bd43a4ac508c578f2d93f37a166ee6
[ "Apache-2.0", "MIT" ]
143
2015-03-09T21:18:39.000Z
2022-03-02T13:27:12.000Z
external_plugin_deps.bzl
michalgagat/plugins_oauth
47cc344013bd43a4ac508c578f2d93f37a166ee6
[ "Apache-2.0", "MIT" ]
162
2015-03-15T04:00:41.000Z
2022-02-24T07:29:17.000Z
external_plugin_deps.bzl
michalgagat/plugins_oauth
47cc344013bd43a4ac508c578f2d93f37a166ee6
[ "Apache-2.0", "MIT" ]
97
2015-02-27T18:35:20.000Z
2022-01-08T13:17:21.000Z
load("//tools/bzl:maven_jar.bzl", "maven_jar") def external_plugin_deps(omit_commons_codec = True): JACKSON_VERS = "2.10.2" maven_jar( name = "scribejava-core", artifact = "com.github.scribejava:scribejava-core:6.9.0", sha1 = "ed761f450d8382f75787e8fee9ae52e7ec768747", ) maven_j...
34.310345
84
0.629146
92
995
6.641304
0.413043
0.07856
0.07856
0.062193
0.124386
0.124386
0
0
0
0
0
0.151678
0.251256
995
28
85
35.535714
0.668456
0
0
0.148148
0
0
0.455276
0.376884
0
0
0
0
0
1
0.037037
false
0
0
0
0.037037
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0