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
ddaaf774a1abba687897e41a33028b028a3ed7fd
2,200
py
Python
convertgf.py
Wivik/gundam-france
65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8
[ "MIT" ]
null
null
null
convertgf.py
Wivik/gundam-france
65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8
[ "MIT" ]
null
null
null
convertgf.py
Wivik/gundam-france
65d84098eec431e7e27b6a6c0f1e6eadea1c2bc8
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 from markdownify import markdownify as md import argparse import re import os import sys parser = argparse.ArgumentParser() parser.add_argument('input_file', help='file to convert') args = parser.parse_args() input_file = args.input_file print(input_file) if not re.search('.dist.php', input_...
32.352941
86
0.537727
294
2,200
3.935374
0.268707
0.051858
0.085566
0.11236
0.267934
0.251513
0.208297
0.191011
0.191011
0.191011
0
0.008924
0.185
2,200
67
87
32.835821
0.636364
0.199545
0
0.068182
0
0
0.255441
0.124857
0
0
0
0
0
1
0
false
0
0.113636
0
0.113636
0.136364
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
ddab10387c063d1c5dd03502020dc60340b9c9c1
1,957
py
Python
scripts/disktest.py
CloudAdvocacy/ObjectDetection
ba823455a43684dea8f0bc1eab6f669a818895bb
[ "MIT" ]
null
null
null
scripts/disktest.py
CloudAdvocacy/ObjectDetection
ba823455a43684dea8f0bc1eab6f669a818895bb
[ "MIT" ]
null
null
null
scripts/disktest.py
CloudAdvocacy/ObjectDetection
ba823455a43684dea8f0bc1eab6f669a818895bb
[ "MIT" ]
null
null
null
import io, os import argparse from timeit import default_timer as timer parser = argparse.ArgumentParser(description="File Performance Testing Util") parser.add_argument("command",help="Test to perform",choices=['read','write','readany']) parser.add_argument("dir",help="Directory to use") args = parser.parse_args() ...
33.169492
94
0.616249
320
1,957
3.70625
0.253125
0.10118
0.055649
0.057336
0.530354
0.530354
0.515177
0.369309
0.317032
0.317032
0
0.152132
0.197241
1,957
59
95
33.169492
0.602801
0
0
0.16
0
0
0.145557
0
0
0
0
0
0
1
0.08
false
0
0.06
0
0.14
0.06
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
ddaf61fd3b67b0ad82d3ff5a5a750292ac61bd57
2,728
py
Python
products/views.py
deepindo/DoPython
d80b85b3b24566de6ece9f452564e4827e705959
[ "MIT" ]
4
2022-01-04T09:56:19.000Z
2022-01-20T12:14:16.000Z
products/views.py
deepindo/DoPython
d80b85b3b24566de6ece9f452564e4827e705959
[ "MIT" ]
null
null
null
products/views.py
deepindo/DoPython
d80b85b3b24566de6ece9f452564e4827e705959
[ "MIT" ]
1
2022-01-20T09:40:16.000Z
2022-01-20T09:40:16.000Z
from django.shortcuts import render, get_object_or_404 from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage from products.models import Product def productList(request, productName): """产品的列表页""" submenu = productName if productName == 'robot': productName = '家用机器人' elif p...
29.978022
93
0.535924
304
2,728
4.621711
0.266447
0.049822
0.039146
0.037011
0.253381
0.231317
0.231317
0.231317
0.195018
0.195018
0
0.024446
0.355205
2,728
91
94
29.978022
0.774304
0.028959
0
0.328947
0
0
0.091565
0.019757
0
0
0
0
0
1
0.026316
false
0
0.039474
0
0.092105
0.013158
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
ddb0240924a8101cddcbf80261a52d4f5843c4bf
1,545
py
Python
misc/CharacterMotion.py
qwewqa/dl-datamine
a8e050731f67e4cf49123947eadf66ac0fd948ca
[ "MIT" ]
2
2020-03-31T00:07:54.000Z
2020-04-01T23:39:23.000Z
misc/CharacterMotion.py
qwewqa/dl-datamine
a8e050731f67e4cf49123947eadf66ac0fd948ca
[ "MIT" ]
null
null
null
misc/CharacterMotion.py
qwewqa/dl-datamine
a8e050731f67e4cf49123947eadf66ac0fd948ca
[ "MIT" ]
1
2021-08-02T04:21:31.000Z
2021-08-02T04:21:31.000Z
import json import os from dataclasses import dataclass, field from typing import Dict, Optional @dataclass class AnimationClipData: name: str startTime: float stopTime: float id: Optional[int] = field(init=False) duration: float = field(init=False) def __post_init__(self): self.durat...
28.611111
100
0.618123
192
1,545
4.776042
0.317708
0.070883
0.092694
0.062159
0.082879
0.054526
0
0
0
0
0
0.000893
0.275081
1,545
53
101
29.150943
0.817857
0
0
0.136364
0
0
0.032362
0
0
0
0
0
0
1
0.090909
false
0.022727
0.090909
0
0.386364
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
ddb050b82209d0997ed09ca448c8c2752e16f7c5
14,431
py
Python
kube/config.py
nearmap/kubefs
e2f6c019f04e436d031874e40c59ba0ee61d8c58
[ "MIT" ]
3
2021-05-31T06:45:37.000Z
2021-10-05T22:36:37.000Z
kube/config.py
nearmap/kubefs
e2f6c019f04e436d031874e40c59ba0ee61d8c58
[ "MIT" ]
8
2021-09-06T00:43:13.000Z
2021-10-01T00:22:53.000Z
kube/config.py
nearmap/kubefs
e2f6c019f04e436d031874e40c59ba0ee61d8c58
[ "MIT" ]
null
null
null
import base64 import fnmatch import logging import os import tempfile from ssl import SSLContext, create_default_context from typing import Dict, List, Optional, Sequence import yaml from kube.tools.repr import disp_secret_blob, disp_secret_string class ExecCmd: def __init__(self, *, command: str, args: List[st...
30.901499
86
0.56538
1,671
14,431
4.661879
0.139437
0.025417
0.018357
0.013864
0.240308
0.161361
0.107317
0.071117
0.071117
0.05982
0
0.002412
0.339339
14,431
466
87
30.967811
0.814663
0.062019
0
0.189944
0
0.002793
0.066952
0.005161
0
0
0
0
0
1
0.078212
false
0.01676
0.02514
0.01676
0.195531
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
ddb11949c25d2f8ec4e231606475f6d7c71dff61
1,256
py
Python
other/application/windowApp/test6.py
Ethan7102/FYP
c6560a0b95ad78d5e1a341ab2d93c063e10c6631
[ "MIT" ]
null
null
null
other/application/windowApp/test6.py
Ethan7102/FYP
c6560a0b95ad78d5e1a341ab2d93c063e10c6631
[ "MIT" ]
null
null
null
other/application/windowApp/test6.py
Ethan7102/FYP
c6560a0b95ad78d5e1a341ab2d93c063e10c6631
[ "MIT" ]
1
2021-01-23T07:59:57.000Z
2021-01-23T07:59:57.000Z
from PyQt5.QtCore import QThread, pyqtSignal, QDateTime, QObject from PyQt5.QtWidgets import QApplication, QDialog, QLineEdit import time import sys class BackendThread(QObject): # 通过类成员对象定义信号 update_date = pyqtSignal(str) # 处理业务逻辑 def run(self): while True: data = QDateTime.curre...
25.632653
64
0.627389
140
1,256
5.485714
0.492857
0.057292
0.03125
0.041667
0
0
0
0
0
0
0
0.017279
0.262739
1,256
49
65
25.632653
0.812095
0.035828
0
0
0
0
0.034025
0
0
0
0
0
0
1
0.117647
false
0
0.117647
0
0.323529
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
ddb1e5dab629942b29ba8fb6aab9cb866f52c858
13,098
py
Python
model/meter.py
meiwei92/meter-alignment
dc92e4aca0ca80ed1c9418027b050e9631b5fb7a
[ "MIT" ]
null
null
null
model/meter.py
meiwei92/meter-alignment
dc92e4aca0ca80ed1c9418027b050e9631b5fb7a
[ "MIT" ]
null
null
null
model/meter.py
meiwei92/meter-alignment
dc92e4aca0ca80ed1c9418027b050e9631b5fb7a
[ "MIT" ]
null
null
null
from __future__ import annotations from typing import List, Tuple, OrderedDict as OrderedDictType, DefaultDict, Optional from collections import OrderedDict, defaultdict from metric import MusicNote, TimePointSequence from model.base import MidiModel, MidiModelState from model.beat import TatumTrackingModelState, Tatu...
42.803922
134
0.64506
1,431
13,098
5.561845
0.113906
0.056288
0.038447
0.03317
0.351049
0.239854
0.181053
0.181053
0.153663
0.124387
0
0.001916
0.282791
13,098
305
135
42.944262
0.845327
0.038861
0
0.253394
0
0
0.003181
0
0
0
0
0.003279
0
1
0.099548
false
0.027149
0.036199
0.031674
0.226244
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
ddb3b3248298a56481c0e14a355de5998e1c7be4
1,029
py
Python
hw2skeleton/find_features.py
hasuni-max/hw2-skeleton
498f5d250ec18042c1e21fac177a92f3c7d3da7c
[ "Apache-2.0" ]
null
null
null
hw2skeleton/find_features.py
hasuni-max/hw2-skeleton
498f5d250ec18042c1e21fac177a92f3c7d3da7c
[ "Apache-2.0" ]
null
null
null
hw2skeleton/find_features.py
hasuni-max/hw2-skeleton
498f5d250ec18042c1e21fac177a92f3c7d3da7c
[ "Apache-2.0" ]
null
null
null
global plus global minus minus = ["ASP","GLU"] plus = ["ARG","HIS","LYS"] def find_charge(residues): """ Takes a list of residues and returns the number of plus and minus charged residues. This function uses the global plus and minus variables """ global plus global minus plus_charge = sum([res in plu...
25.097561
73
0.737609
158
1,029
4.658228
0.297468
0.097826
0.101902
0.11413
0.137228
0.137228
0
0
0
0
0
0.002315
0.16035
1,029
40
74
25.725
0.849537
0.234208
0
0.173913
0
0
0.019557
0
0
0
0
0
0
1
0.086957
false
0
0
0
0.173913
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
ddbaaba267f11c03c921ef7b0388970b8db8a6b9
2,396
py
Python
src/quacks/__init__.py
ariebovenberg/quacks
839d307b24f3f37d9a5318c16acb631b9a1153f0
[ "MIT" ]
11
2021-12-12T20:51:15.000Z
2022-02-02T12:08:32.000Z
src/quacks/__init__.py
ariebovenberg/quacks
839d307b24f3f37d9a5318c16acb631b9a1153f0
[ "MIT" ]
8
2021-12-14T12:53:51.000Z
2022-03-15T04:29:44.000Z
src/quacks/__init__.py
ariebovenberg/quacks
839d307b24f3f37d9a5318c16acb631b9a1153f0
[ "MIT" ]
1
2021-12-15T16:50:34.000Z
2021-12-15T16:50:34.000Z
from typing import _GenericAlias # type: ignore from typing import ClassVar from typing_extensions import Protocol # Single-sourcing the version number with poetry: # https://github.com/python-poetry/poetry/pull/2366#issuecomment-652418094 try: __version__ = __import__("importlib.metadata").metadata.version(__na...
29.95
79
0.647329
280
2,396
5.285714
0.414286
0.033784
0.022297
0.040541
0
0
0
0
0
0
0
0.007307
0.257513
2,396
79
80
30.329114
0.824621
0.479549
0
0
0
0
0.131907
0
0
0
0
0
0
1
0.153846
false
0
0.192308
0.076923
0.461538
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
ddbb30413bba7d94f4e08a1b8b5b0f62d116a712
13,818
py
Python
gobbli/inspect/evaluate.py
RTIInternational/gobbli
d9ec8132f74ce49dc4bead2fad25b661bcef6e76
[ "Apache-2.0" ]
276
2019-09-13T08:25:51.000Z
2022-03-05T13:07:55.000Z
gobbli/inspect/evaluate.py
RTIInternational/gobbli
d9ec8132f74ce49dc4bead2fad25b661bcef6e76
[ "Apache-2.0" ]
15
2019-09-06T14:05:30.000Z
2022-01-01T20:15:06.000Z
gobbli/inspect/evaluate.py
RTIInternational/gobbli
d9ec8132f74ce49dc4bead2fad25b661bcef6e76
[ "Apache-2.0" ]
24
2019-09-18T15:11:42.000Z
2021-12-23T18:59:55.000Z
from dataclasses import dataclass from typing import Callable, Dict, List, Optional, Sequence, Tuple, Union import altair as alt import pandas as pd from sklearn.metrics import ( accuracy_score, classification_report, f1_score, precision_score, recall_score, ) from gobbli.util import ( as_mult...
35.25
102
0.56506
1,603
13,818
4.700561
0.181535
0.029197
0.025216
0.013271
0.269542
0.190577
0.17213
0.148242
0.125415
0.11294
0
0.004316
0.345998
13,818
391
103
35.340153
0.829479
0.236793
0
0.194915
0
0.004237
0.108301
0.033371
0
0
0
0
0
1
0.063559
false
0
0.025424
0.008475
0.194915
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
ddbc20a9147b17ccfb31328be56cce367423b65a
791
py
Python
victor_fake_hardware_interface/scripts/fake_grippers_node.py
MMintLab/kuka_iiwa_interface
0dd258641377263e7275bc63f37cf32eb12f3e56
[ "BSD-2-Clause" ]
5
2021-01-11T09:00:26.000Z
2021-12-13T15:59:01.000Z
victor_fake_hardware_interface/scripts/fake_grippers_node.py
MMintLab/kuka_iiwa_interface
0dd258641377263e7275bc63f37cf32eb12f3e56
[ "BSD-2-Clause" ]
35
2020-07-01T14:48:40.000Z
2021-07-13T18:38:53.000Z
victor_fake_hardware_interface/scripts/fake_grippers_node.py
MMintLab/kuka_iiwa_interface
0dd258641377263e7275bc63f37cf32eb12f3e56
[ "BSD-2-Clause" ]
1
2021-01-08T23:39:17.000Z
2021-01-08T23:39:17.000Z
#!/usr/bin/env python import rospy from victor_fake_hardware_interface.minimal_fake_arm_interface import MinimalFakeGripperInterface def main(): rospy.init_node("minimal_fake_arm_interface") interfaces = {} arm_names = ["left_arm", "right_arm"] for arm in arm_names: interfaces[arm + "/gripp...
27.275862
114
0.652339
86
791
5.604651
0.44186
0.103734
0.049793
0.068465
0.224066
0.224066
0.224066
0.224066
0
0
0
0
0.241467
791
28
115
28.25
0.803333
0.025284
0
0.176471
0
0
0.161039
0.033766
0
0
0
0
0
1
0.058824
false
0
0.117647
0
0.176471
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
ddbc90c6ac864e7ce62505e078e39b8bc44056dd
11,647
py
Python
python/bgraph.py
brunodferrari/bdp
d320add1e451c85b6777ae34901bbd6fd3797114
[ "Unlicense" ]
null
null
null
python/bgraph.py
brunodferrari/bdp
d320add1e451c85b6777ae34901bbd6fd3797114
[ "Unlicense" ]
null
null
null
python/bgraph.py
brunodferrari/bdp
d320add1e451c85b6777ae34901bbd6fd3797114
[ "Unlicense" ]
null
null
null
# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import networkx as nx import pandas as pd import copy from numba import njit from numba.typed import Dict, List from numba.core import types from concurrent.futures import ThreadPoolExecutor np.seterr(over='ignore') def pi(setlist, i): ...
28.06506
145
0.479608
1,776
11,647
2.99268
0.109234
0.024835
0.01731
0.008467
0.457761
0.42032
0.358231
0.324929
0.270367
0.22032
0
0.042021
0.374775
11,647
415
146
28.06506
0.68786
0.099081
0
0.366782
0
0
0.000575
0
0
0
0
0
0
1
0.131488
false
0
0.034602
0.034602
0.304498
0.00346
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
ddbf5e2f65d38e783f4768e0ca9abc2a32d54029
3,403
py
Python
src/odin/http/server.py
stfc-aeg/odin-control
71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf
[ "Apache-2.0" ]
4
2018-05-24T13:38:23.000Z
2021-08-18T08:32:54.000Z
src/odin/http/server.py
stfc-aeg/odin-control
71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf
[ "Apache-2.0" ]
20
2018-04-10T09:28:01.000Z
2022-03-17T11:43:59.000Z
src/odin/http/server.py
stfc-aeg/odin-control
71ab2e6e6e1a7c7ce322ea0df31a9d675f7b92bf
[ "Apache-2.0" ]
3
2017-06-07T13:28:38.000Z
2019-07-16T10:02:21.000Z
"""odin.http.server - ODIN HTTP Server class. This module provides the core HTTP server class used in ODIN, which handles all client requests, handing off API requests to the appropriate API route and adapter plugins, and defining the default route used to serve static content. Tim Nicholls, STFC Application Engineer...
35.447917
96
0.658537
416
3,403
5.269231
0.355769
0.032847
0.027372
0.024635
0
0
0
0
0
0
0
0.004841
0.271525
3,403
95
97
35.821053
0.879387
0.399647
0
0
0
0
0.039494
0
0
0
0
0
0
1
0.090909
false
0
0.159091
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
ddc0751188e1d1856d4d69064affd55e5821f001
1,382
py
Python
leetcode/ds_stack_valid_parentheses.py
ngovindaraj/Python
edbcd302533bef81aa0c01e902e6081df58f383c
[ "MIT" ]
null
null
null
leetcode/ds_stack_valid_parentheses.py
ngovindaraj/Python
edbcd302533bef81aa0c01e902e6081df58f383c
[ "MIT" ]
null
null
null
leetcode/ds_stack_valid_parentheses.py
ngovindaraj/Python
edbcd302533bef81aa0c01e902e6081df58f383c
[ "MIT" ]
null
null
null
# @file Valid Parentheses # @brief Given a string containing just the characters '(', ')', '{', '}', # '[' and ']', determine if the input string is valid. # https://leetcode.com/problems/valid-parentheses/ import collections ''' Given a string containing just the characters '(', ')', '{', '}', '[' and ']', de...
40.647059
79
0.552822
166
1,382
4.60241
0.457831
0.052356
0.031414
0.057592
0.246073
0.246073
0.193717
0.193717
0.193717
0.193717
0
0.002128
0.319826
1,382
33
80
41.878788
0.810638
0.429812
0
0.2
0
0
0.01676
0
0
0
0
0
0
1
0.066667
false
0
0.066667
0
0.4
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
ddc0a159fdea30685a3e6c6f67386c3bf2f75073
3,746
py
Python
2016/round_1b/technobabble.py
laichunpongben/CodeJam
a048229bce1bc680dc85c8a69ef395a2f049732a
[ "Apache-2.0" ]
null
null
null
2016/round_1b/technobabble.py
laichunpongben/CodeJam
a048229bce1bc680dc85c8a69ef395a2f049732a
[ "Apache-2.0" ]
null
null
null
2016/round_1b/technobabble.py
laichunpongben/CodeJam
a048229bce1bc680dc85c8a69ef395a2f049732a
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python from __future__ import print_function from collections import deque def parse_and_sort_topics(topics): topic_deque = deque(tuple(topic.split(' ')) for topic in topics) word0s = [item[0] for item in topic_deque] word1s = [item[1] for item in topic_deque] topic_deque = deque(sorted...
30.455285
95
0.509343
427
3,746
4.274005
0.274005
0.039452
0.039452
0.04274
0.294795
0.227397
0.161096
0.161096
0.161096
0.161096
0
0.032669
0.370796
3,746
122
96
30.704918
0.741621
0.005339
0
0.117647
0
0
0.114362
0
0
0
0
0
0
1
0.019608
false
0
0.029412
0
0.068627
0.039216
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
ddc4e2961bdd997e8ed912766a3c871b4f8b1cc7
3,306
py
Python
openmapi/globales.py
IgnacioPardo/mAPI-Provincias
812fc12bcc72d6aa28ab2e39af2d64d0aa68c86b
[ "MIT" ]
4
2020-08-02T06:51:04.000Z
2022-03-22T21:31:44.000Z
openmapi/globales.py
Creativity-Hub/Open-mAPI
b7e0ee9acda424aec0e84513d8e968aa6ff5d7c5
[ "MIT" ]
null
null
null
openmapi/globales.py
Creativity-Hub/Open-mAPI
b7e0ee9acda424aec0e84513d8e968aa6ff5d7c5
[ "MIT" ]
1
2022-03-24T22:20:47.000Z
2022-03-24T22:20:47.000Z
import requests from bs4 import BeautifulSoup class Pais: name = '' casos = {} def __init__(self, name, infectados=None, recuperados=None, fallecidos=None, activos = None): self.name = name self.casos['infectados'] = infectados self.casos['recuperados'] = recuperados self.casos['fallecidos'] = fallecidos ...
23.614286
119
0.650333
436
3,306
4.816514
0.279817
0.057619
0.033333
0.031429
0.217619
0.152381
0.092381
0.092381
0.049524
0.049524
0
0.006623
0.177858
3,306
140
120
23.614286
0.766004
0.038415
0
0.182796
0
0
0.089764
0
0
0
0
0
0
1
0.193548
false
0
0.021505
0.075269
0.397849
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
ddc738c6ed27c814c11c63a6fb453a793040af60
947
py
Python
openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py
jonclothcat/OpenPype
d1208cbebc0a7f378de0062ccd653295c6399195
[ "MIT" ]
1
2022-02-08T15:40:41.000Z
2022-02-08T15:40:41.000Z
openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py
zafrs/OpenPype
4b8e7e1ed002fc55b31307efdea70b0feaed474f
[ "MIT" ]
2
2022-03-18T01:46:03.000Z
2022-03-18T01:46:16.000Z
openpype/hosts/tvpaint/plugins/publish/validate_start_frame.py
zafrs/OpenPype
4b8e7e1ed002fc55b31307efdea70b0feaed474f
[ "MIT" ]
null
null
null
import pyblish.api from openpype.pipeline import PublishXmlValidationError from openpype.hosts.tvpaint.api import lib class RepairStartFrame(pyblish.api.Action): """Repair start frame.""" label = "Repair" icon = "wrench" on = "failed" def process(self, context, plugin): lib.execute_georg...
24.921053
57
0.636748
99
947
5.989899
0.505051
0.134907
0.047218
0.070826
0.094435
0
0
0
0
0
0
0.00578
0.269271
947
37
58
25.594595
0.851156
0.061246
0
0
0
0
0.138952
0
0
0
0
0
0
1
0.076923
false
0
0.115385
0
0.615385
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
ddc862cde96df508b37a55b7bb12e12b0c12e813
3,548
py
Python
utils/Model_builder.py
Devwalkar/General_codebase
d52eee09248caa715d7e5e8b87f145d1989e278d
[ "MIT" ]
null
null
null
utils/Model_builder.py
Devwalkar/General_codebase
d52eee09248caa715d7e5e8b87f145d1989e278d
[ "MIT" ]
null
null
null
utils/Model_builder.py
Devwalkar/General_codebase
d52eee09248caa715d7e5e8b87f145d1989e278d
[ "MIT" ]
null
null
null
import torch import pretrainedmodels as PM import torch.nn as nn from .Mobilenet import MobileNetV2 device = 'cuda' if torch.cuda.is_available() else 'cpu' def Model_builder(configer): model_name = configer.model['name'] No_classes = configer.dataset_cfg["id_cfg"]["num_classes"] model_pretra...
37.744681
94
0.669391
441
3,548
5.14059
0.188209
0.08734
0.145567
0.116453
0.572122
0.572122
0.572122
0.54742
0.54742
0.54742
0
0.039209
0.230834
3,548
94
95
37.744681
0.791499
0.011556
0
0.347826
0
0
0.071491
0
0
0
0
0
0
1
0.014493
false
0
0.072464
0
0.101449
0.014493
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
ddc91781c017fdef90c8f25f225a0256fda47415
828
py
Python
examples/main.py
marcoaaguiar/erised
26a304afb2058f532b07ecde6c6fc85d8864696c
[ "MIT" ]
null
null
null
examples/main.py
marcoaaguiar/erised
26a304afb2058f532b07ecde6c6fc85d8864696c
[ "MIT" ]
3
2021-03-15T00:51:37.000Z
2021-03-15T01:01:30.000Z
examples/main.py
marcoaaguiar/erised
26a304afb2058f532b07ecde6c6fc85d8864696c
[ "MIT" ]
null
null
null
from erised.proxy import Proxy class Dog: def bark(self, loud: bool): sound = "woof-woof" if loud: return sound.upper() return sound class Person: def __init__(self, dog: Dog = None): self.dog = dog if __name__ == "__main__": person = Person() person.dog...
23.657143
77
0.649758
110
828
4.745455
0.545455
0.034483
0.038314
0
0
0
0
0
0
0
0
0.001618
0.253623
828
34
78
24.352941
0.843042
0.294686
0
0
0
0
0.029412
0
0
0
0
0
0
1
0.1
false
0
0.05
0
0.35
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
ddcde07c3cbd2e093fb249312865d2348a9e3b73
6,863
py
Python
proteus/MeshAdaptPUMI/Checkpoint.py
acatwithacomputer/proteus
80dfad95da6ab4d18a88a035f55c26b03540a864
[ "MIT" ]
null
null
null
proteus/MeshAdaptPUMI/Checkpoint.py
acatwithacomputer/proteus
80dfad95da6ab4d18a88a035f55c26b03540a864
[ "MIT" ]
13
2018-02-08T23:22:59.000Z
2020-12-06T19:40:32.000Z
proteus/MeshAdaptPUMI/Checkpoint.py
acatwithacomputer/proteus
80dfad95da6ab4d18a88a035f55c26b03540a864
[ "MIT" ]
1
2020-02-17T03:25:34.000Z
2020-02-17T03:25:34.000Z
from __future__ import division from builtins import str from builtins import range import proteus import sys import numpy from proteus import Profiling #it should probably be associated with the PUMI domain somehow #The current implementation assumes we're using NS, VOF, LS, RD, MCorr setup with lagging and Backwards...
48.673759
208
0.722862
741
6,863
6.605938
0.279352
0.075996
0.042492
0.044944
0.338304
0.212257
0.132176
0.039632
0
0
0
0.005961
0.168877
6,863
140
209
49.021429
0.852209
0.166691
0
0.093458
0
0.009346
0.168034
0
0
0
0
0
0
1
0.056075
false
0
0.084112
0
0.158879
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
ddd0b7f89eb5fdc6f55d6efae895022ea00e5fd2
2,634
py
Python
ream/decode.py
chmlee/ream-python
13f46596f59bb411308d1c9070b8d6f8a0afeb31
[ "MIT" ]
null
null
null
ream/decode.py
chmlee/ream-python
13f46596f59bb411308d1c9070b8d6f8a0afeb31
[ "MIT" ]
null
null
null
ream/decode.py
chmlee/ream-python
13f46596f59bb411308d1c9070b8d6f8a0afeb31
[ "MIT" ]
null
null
null
""" REAM: REAM Ain't Markdown ~~~~~~~~~~~~~~~~~~~~~~~~~ This file is part of the ream package :copyright: Copyright 2020 by Chih-Ming Louis Lee :license: MIT, see LICENSE for details """ import sys import os import re import json import pandas as pd from ream.transformer import Ream2Dict from ream.grammar import REA...
24.849057
74
0.566059
316
2,634
4.585443
0.335443
0.069013
0.057971
0.062112
0.139406
0.078675
0.078675
0
0
0
0
0.011432
0.302582
2,634
105
75
25.085714
0.777354
0.09795
0
0.185714
0
0
0.049425
0
0
0
0
0
0
1
0.085714
false
0
0.1
0.014286
0.242857
0.128571
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
ddd3332668c74ceeb6666a897a79187f953f120f
10,476
py
Python
svirl/vars/params.py
microsoft/svirl
8d0da6a03ad20315a690a3c65bb8b60c196c3f3d
[ "MIT" ]
6
2020-12-21T20:11:13.000Z
2022-03-21T07:55:33.000Z
svirl/vars/params.py
ivan-sadovsky/svirl
523abe9fcf2a5e9d192782d7aeb7093c86ef4036
[ "MIT" ]
4
2021-07-15T20:12:55.000Z
2021-08-07T22:11:18.000Z
svirl/vars/params.py
ivan-sadovsky/svirl
523abe9fcf2a5e9d192782d7aeb7093c86ef4036
[ "MIT" ]
9
2020-12-22T06:06:16.000Z
2022-03-25T17:26:55.000Z
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import numpy as np import svirl.config as cfg from svirl.storage import GArray from . import FixedVortices class Params(object): """This class contains setters and getters for parameters""" def __init__(self, mesh, vars): self...
31.939024
132
0.616648
1,327
10,476
4.64205
0.146948
0.073864
0.101299
0.042857
0.388961
0.281818
0.194643
0.125
0.121104
0.088636
0
0.007683
0.29181
10,476
327
133
32.036697
0.822618
0.134212
0
0.277778
0
0
0.037704
0
0
0
0
0.009174
0.060606
1
0.136364
false
0.005051
0.020202
0.010101
0.277778
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
ddd3cf7e6c6e22a81fc4f44dcb742ce19a9d4e7a
1,570
py
Python
src/2_save_images.py
Irio/photoshopped-or-not
70ae1a2e7e54003d916b501f8d9e020c13ca6c98
[ "MIT" ]
77
2016-07-13T13:36:55.000Z
2022-02-25T07:49:38.000Z
src/2_save_images.py
goldservice2017/FakeImageDetection
e7f618989d004e24444854df63d9f1c408d0463f
[ "MIT" ]
1
2017-07-11T10:28:36.000Z
2017-07-11T10:28:36.000Z
src/2_save_images.py
goldservice2017/FakeImageDetection
e7f618989d004e24444854df63d9f1c408d0463f
[ "MIT" ]
20
2016-10-23T14:57:19.000Z
2022-03-21T13:32:45.000Z
from hashlib import sha256 from helpers import load_dataset import numpy as np import os import pandas as pd import requests import sys import time import urllib.request CSV_PATH = sys.argv[1] URL_COLUMN = sys.argv[2] PATH = sys.argv[3] def download_image(url, file_path): try: if 'imgur.com' in url: ...
30.784314
83
0.66051
228
1,570
4.377193
0.390351
0.054108
0.064128
0.039078
0.08016
0
0
0
0
0
0
0.01346
0.195541
1,570
50
84
31.4
0.776722
0
0
0
0
0
0.078981
0.01465
0
0
0
0
0
1
0.045455
false
0
0.204545
0
0.295455
0.068182
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
ddd7b262ec09a987c21172c82cd032e817c1ba5b
801
py
Python
quapy/method/__init__.py
valgur/QuaPy
6b1ba4886a1d64b086829306cbba689cdcfd60e8
[ "BSD-3-Clause" ]
34
2021-01-06T14:01:06.000Z
2022-03-08T06:59:04.000Z
quapy/method/__init__.py
valgur/QuaPy
6b1ba4886a1d64b086829306cbba689cdcfd60e8
[ "BSD-3-Clause" ]
4
2021-06-07T07:45:57.000Z
2021-06-21T11:16:10.000Z
quapy/method/__init__.py
valgur/QuaPy
6b1ba4886a1d64b086829306cbba689cdcfd60e8
[ "BSD-3-Clause" ]
6
2021-06-07T10:08:17.000Z
2022-03-07T13:42:15.000Z
from . import aggregative from . import base from . import meta from . import non_aggregative EXPLICIT_LOSS_MINIMIZATION_METHODS = { aggregative.ELM, aggregative.SVMQ, aggregative.SVMAE, aggregative.SVMKLD, aggregative.SVMRAE, aggregative.SVMNKLD } AGGREGATIVE_METHODS = { aggregative.CC, ...
18.627907
85
0.741573
78
801
7.397436
0.397436
0.069324
0.109185
0.107452
0
0
0
0
0
0
0
0.004608
0.187266
801
42
86
19.071429
0.88172
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.121212
0
0.121212
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
ddd9ee0a17827daaf5df8b02b71f681e46b3a8a2
916
py
Python
OT/test_subplots.py
pine2104/Python_for_Lab
571398c2422711d8a74f9c95a746537859458557
[ "MIT" ]
5
2022-02-03T20:10:21.000Z
2022-03-30T08:05:10.000Z
OT/test_subplots.py
pine2104/Python_for_Lab
571398c2422711d8a74f9c95a746537859458557
[ "MIT" ]
null
null
null
OT/test_subplots.py
pine2104/Python_for_Lab
571398c2422711d8a74f9c95a746537859458557
[ "MIT" ]
null
null
null
from EM_Algorithm.gen_gauss import gen_gauss from EM_Algorithm.gen_poisson import gen_poisson import numpy as np import matplotlib.pyplot as plt x = gen_gauss([8],[2],[1000]) y = gen_poisson([1],[1000]) fig = plt.figure(figsize=(8, 8)) # Add a gridspec with two rows and two columns and a ratio of 2 to 7 between # th...
35.230769
84
0.689956
166
916
3.698795
0.46988
0.039088
0.063518
0.07329
0.052117
0
0
0
0
0
0
0.059289
0.171397
916
25
85
36.64
0.749671
0.213974
0
0
0
0
0.039161
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
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
ddda6ce0c1f2ddd975f7aba52a0da244fa436a75
2,114
py
Python
code/examples/VsevolodTymofyeyev2/example.py
TrackerSB/MasterThesis
2792203d28d6c7b62f54545344ee6772d2ec5b64
[ "MIT" ]
null
null
null
code/examples/VsevolodTymofyeyev2/example.py
TrackerSB/MasterThesis
2792203d28d6c7b62f54545344ee6772d2ec5b64
[ "MIT" ]
null
null
null
code/examples/VsevolodTymofyeyev2/example.py
TrackerSB/MasterThesis
2792203d28d6c7b62f54545344ee6772d2ec5b64
[ "MIT" ]
null
null
null
import os from threading import Thread from typing import List from aiExchangeMessages_pb2 import SimulationID, TestResult def _handle_vehicle(sid: SimulationID, vid: str, requests: List[str]) -> None: vid_obj = VehicleID() vid_obj.vid = vid i = 0 while i < 3: i += 1 print(sid.sid + ...
33.555556
102
0.638127
247
2,114
5.279352
0.340081
0.027607
0.027607
0.047546
0.15184
0.15184
0.096626
0.096626
0.096626
0.096626
0
0.006993
0.255913
2,114
62
103
34.096774
0.821996
0.040208
0
0.042553
0
0
0.100396
0.023244
0
0
0
0
0
1
0.021277
false
0
0.12766
0
0.148936
0.170213
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
dddd2ef86d68662ac04401af3b7b61b4ab5cb9ed
1,916
py
Python
rfap.py
anabanami/RFAP
09b434d115ae1872810d65126bcbc9d7af510e89
[ "MIT" ]
null
null
null
rfap.py
anabanami/RFAP
09b434d115ae1872810d65126bcbc9d7af510e89
[ "MIT" ]
null
null
null
rfap.py
anabanami/RFAP
09b434d115ae1872810d65126bcbc9d7af510e89
[ "MIT" ]
null
null
null
# PHS3350 # Week 2 - wave packet and RFAP - # "what I cannot create I cannot understand" - R. Feynman. # Ana Fabela Hinojosa, 13/03/2021 import os from pathlib import Path import numpy as np import matplotlib import matplotlib.pyplot as plt import physunits from scipy.fft import fft, ifft plt.rcParams['figure.dpi'] =...
23.95
64
0.598643
338
1,916
3.295858
0.39645
0.059246
0.037702
0.05386
0.128366
0.041293
0.041293
0
0
0
0
0.067586
0.243215
1,916
79
65
24.253165
0.70069
0.174843
0
0
0
0
0.067732
0.015974
0
0
0
0
0
1
0.039216
false
0
0.137255
0
0.215686
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
dde27c4c382b986590140f153b007830bdfd2e36
3,725
py
Python
tests/api/test_record_permissions.py
equadon/invenio-app-ils
42ba282968d0aa28fb1bfc71d0709685165aaec4
[ "MIT" ]
null
null
null
tests/api/test_record_permissions.py
equadon/invenio-app-ils
42ba282968d0aa28fb1bfc71d0709685165aaec4
[ "MIT" ]
null
null
null
tests/api/test_record_permissions.py
equadon/invenio-app-ils
42ba282968d0aa28fb1bfc71d0709685165aaec4
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # # Copyright (C) 2018-2019 CERN. # # invenio-app-ils is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Test record permissions.""" from __future__ import unicode_literals import uuid import pytest from flas...
33.863636
77
0.633289
458
3,725
5.015284
0.28821
0.023509
0.02438
0.036569
0.371789
0.311711
0.292556
0.292556
0.292556
0.250762
0
0.006618
0.229262
3,725
109
78
34.174312
0.793452
0.226846
0
0.376812
0
0
0.116361
0.016925
0
0
0
0
0.057971
1
0.072464
false
0
0.130435
0
0.202899
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
dde28d401374fdc16a1d1b838ec6fd235235e1cc
945
py
Python
src/Index.py
bhed01/bhed01.github.io
132cf8e4afa05a00d71555afa2002a2d50c304c8
[ "MIT" ]
3
2020-10-16T12:26:31.000Z
2022-02-03T18:06:35.000Z
src/Index.py
bhed01/bhed01.github.io
132cf8e4afa05a00d71555afa2002a2d50c304c8
[ "MIT" ]
null
null
null
src/Index.py
bhed01/bhed01.github.io
132cf8e4afa05a00d71555afa2002a2d50c304c8
[ "MIT" ]
null
null
null
from .components.Head import Head from .components.NavIcons import Hamburger from .components.Screens import HomeScreen, AboutScreen, ProjectsScreen from .components.Footer import Footer from .utils import JSON_DIR from json import load import os def Index(): with open(os.path.join(JSON_DIR, 'home_data....
32.586207
72
0.649735
118
945
5.076271
0.313559
0.058431
0.066778
0.093489
0.166945
0.166945
0.166945
0
0
0
0
0
0.22963
945
28
73
33.75
0.822802
0
0
0
0
0
0.268266
0.110142
0
0
0
0
0
1
0.04
false
0
0.28
0
0.36
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
dde2faa4056b42852281bc2be32673929adfef2b
5,190
py
Python
bisk/features/base.py
facebookresearch/bipedal-skills
edd424a8779e3a0121fb995cad00839d8226cf46
[ "MIT" ]
6
2021-11-05T16:57:58.000Z
2022-03-16T10:34:46.000Z
bisk/features/base.py
facebookresearch/bipedal-skills
edd424a8779e3a0121fb995cad00839d8226cf46
[ "MIT" ]
null
null
null
bisk/features/base.py
facebookresearch/bipedal-skills
edd424a8779e3a0121fb995cad00839d8226cf46
[ "MIT" ]
1
2021-11-05T16:57:47.000Z
2021-11-05T16:57:47.000Z
# Copyright (c) 2021-present, Facebook, Inc. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. # import logging from typing import Dict, List import gym import numpy as np from dm_control import mujoco from dm_control.mujoco.wrapper.mjbinding...
36.293706
76
0.511753
651
5,190
3.99232
0.25192
0.070796
0.087726
0.115429
0.56137
0.371681
0.327049
0.294729
0.234706
0.219315
0
0.011912
0.352987
5,190
142
77
36.549296
0.762061
0.042004
0
0.266129
0
0
0.064464
0
0
0
0
0
0
1
0.064516
false
0
0.056452
0
0.177419
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
ddebffcf3d40adc0208ac8b35c967b6d0551178a
38,079
py
Python
port/platform/common/automation/u_utils.py
stephanboner/ubxlib
64025c5760771ac2accd09f9f176693c7add2919
[ "Apache-2.0" ]
null
null
null
port/platform/common/automation/u_utils.py
stephanboner/ubxlib
64025c5760771ac2accd09f9f176693c7add2919
[ "Apache-2.0" ]
null
null
null
port/platform/common/automation/u_utils.py
stephanboner/ubxlib
64025c5760771ac2accd09f9f176693c7add2919
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python '''Generally useful bits and bobs.''' import queue # For PrintThread and exe_run from time import sleep, time, gmtime, strftime # For lock timeout, exe_run timeout and logging import threading # For PrintThread import os # For ChangeDir, ...
42.930101
120
0.536437
4,151
38,079
4.757408
0.166466
0.041473
0.019445
0.016407
0.329755
0.254203
0.214756
0.186449
0.173587
0.150243
0
0.009467
0.370335
38,079
886
121
42.978555
0.814155
0.20896
0
0.399679
0
0
0.070385
0.00084
0
0
0.000538
0
0
1
0.05939
false
0.006421
0.022472
0
0.126806
0.149278
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
ddf10fa882b2377b78f180954bd012323f534965
514
py
Python
test/unit/test_main.py
CMPUT291PROJECT1F18/Mini-Project-1
b58144dd80c40466de755877b7c3996f4aa67af9
[ "MIT" ]
1
2018-11-06T01:04:13.000Z
2018-11-06T01:04:13.000Z
test/unit/test_main.py
CMPUT291PROJECT1F18/Mini-Project-1
b58144dd80c40466de755877b7c3996f4aa67af9
[ "MIT" ]
39
2018-10-23T00:28:13.000Z
2018-11-06T16:14:56.000Z
test/unit/test_main.py
CMPUT291PROJECT1F18/Mini-Project-1
b58144dd80c40466de755877b7c3996f4aa67af9
[ "MIT" ]
null
null
null
#!/usr/bin/python # -*- coding: utf-8 -*- """pytests for :mod:`.__main__`""" from mini_project_1.__main__ import get_parser, main import mock def test_get_parser(): parser = get_parser() assert parser def test_main(tmpdir): tmp_file = tmpdir.join("thefile_name.json") tmp_file_name = str(tmp_file)...
23.363636
93
0.680934
72
514
4.5
0.569444
0.08642
0.074074
0
0
0
0
0
0
0
0
0.007009
0.167315
514
21
94
24.47619
0.75
0.13035
0
0
0
0
0.190909
0.102273
0
0
0
0
0.090909
1
0.181818
false
0
0.181818
0
0.363636
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
ddf791c1dd4726087d87f8647d381ae32e01c53c
437
py
Python
6. Heap exploitation/exploit_3.py
MBWlodarczyk/bso_project
a4620fb18d7f789d917627232dc85ef9bcad7e3d
[ "MIT" ]
null
null
null
6. Heap exploitation/exploit_3.py
MBWlodarczyk/bso_project
a4620fb18d7f789d917627232dc85ef9bcad7e3d
[ "MIT" ]
null
null
null
6. Heap exploitation/exploit_3.py
MBWlodarczyk/bso_project
a4620fb18d7f789d917627232dc85ef9bcad7e3d
[ "MIT" ]
1
2021-05-27T22:04:35.000Z
2021-05-27T22:04:35.000Z
from pwn import * def malloc(name): p.sendlineafter('>> ','1 '+name) def free(id): p.sendlineafter('>> ', '2 '+str(id)) p = process("./vuln_3.o") gdb.attach(p) for i in range(8): malloc('a') malloc('a') malloc('a') for i in range(9): free(i-1) free(8) free(9) free(8) for i in range(8): ma...
11.5
40
0.567506
73
437
3.383562
0.438356
0.11336
0.072874
0.133603
0.202429
0.202429
0.202429
0.202429
0
0
0
0.05618
0.185355
437
37
41
11.810811
0.63764
0
0
0.434783
0
0
0.118993
0
0
0
0
0
0
1
0.086957
false
0
0.043478
0
0.130435
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
ddf7f46a03e2f875d36d3fadd6c70b90528b78f0
1,202
py
Python
setup.py
originell/sentry-twilio
716c444649b38b68f9d6a02986de090bb7e580b9
[ "MIT" ]
null
null
null
setup.py
originell/sentry-twilio
716c444649b38b68f9d6a02986de090bb7e580b9
[ "MIT" ]
1
2017-02-01T16:49:25.000Z
2017-02-01T16:49:25.000Z
setup.py
originell/sentry-twilio
716c444649b38b68f9d6a02986de090bb7e580b9
[ "MIT" ]
null
null
null
#!/usr/bin/env python """ sentry-twilio ============= Sentry Notification plugin for Twilio Programmable SMS. :copyright: 2017 Luis Nell. :license: MIT, see LICENSE for more details. """ from __future__ import absolute_import from setuptools import setup, find_packages VERSION = '1.0' install_requires = [ 'twil...
24.04
74
0.645591
126
1,202
5.97619
0.579365
0.079681
0.047809
0.071713
0.12749
0.12749
0.12749
0
0
0
0
0.011727
0.219634
1,202
49
75
24.530612
0.791045
0.147255
0
0.085714
0
0
0.390364
0.056047
0
0
0
0
0
1
0
false
0
0.057143
0
0.057143
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
ddf8e32544c5c3cd5719527188568b3163339c08
3,146
py
Python
tests/test_refresh_subscription.py
Fak3/websubsub
f7ca8953197104483b152367c716028d841facbb
[ "MIT" ]
4
2018-03-18T03:44:24.000Z
2019-08-10T00:40:54.000Z
tests/test_refresh_subscription.py
Fak3/websubsub
f7ca8953197104483b152367c716028d841facbb
[ "MIT" ]
9
2020-02-12T13:38:38.000Z
2021-06-02T01:03:43.000Z
tests/test_refresh_subscription.py
Fak3/websubsub
f7ca8953197104483b152367c716028d841facbb
[ "MIT" ]
2
2019-08-10T00:41:00.000Z
2020-02-09T10:09:59.000Z
import re from datetime import timedelta import responses from django.test import override_settings from django.utils.timezone import now from model_mommy.mommy import make from websubsub.models import Subscription from websubsub.tasks import refresh_subscriptions, retry_failed from .base import BaseTestCase, method_...
35.75
92
0.61602
328
3,146
5.780488
0.335366
0.066456
0.028481
0.07173
0.39557
0.379747
0.341772
0.341772
0.214662
0.130274
0
0.008509
0.29021
3,146
87
93
36.16092
0.840573
0.218055
0
0.220339
0
0
0.125154
0
0
0
0
0
0.050847
1
0.016949
false
0
0.152542
0
0.186441
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
ddfc5813cf287a659f99142896404836acf1a2ad
9,452
py
Python
src/agents/base.py
anindex/drqn-study
ab357178bbe6a1e09eda0f19583e8e8444bf4a54
[ "MIT" ]
null
null
null
src/agents/base.py
anindex/drqn-study
ab357178bbe6a1e09eda0f19583e8e8444bf4a54
[ "MIT" ]
null
null
null
src/agents/base.py
anindex/drqn-study
ab357178bbe6a1e09eda0f19583e8e8444bf4a54
[ "MIT" ]
null
null
null
from __future__ import absolute_import from __future__ import division from __future__ import print_function import logging import numpy as np import random from collections import deque import torch from os.path import exists from torch.nn.functional import smooth_l1_loss, mse_loss # noqa from torch.optim import Adam...
44.375587
167
0.643779
1,232
9,452
4.702922
0.193994
0.05592
0.025889
0.017604
0.19106
0.121332
0.107352
0.077667
0.064895
0.051087
0
0.011247
0.247461
9,452
212
168
44.584906
0.803318
0.074587
0
0.12069
0
0
0.087111
0
0
0
0
0
0
1
0.12069
false
0
0.068966
0.011494
0.218391
0.005747
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
ddfd26bd635a43dc9642fa41b92d7f6a9fd3de78
1,449
py
Python
mongo_commander/widgets.py
thieman/mongo_commander
407cccb1abdf16b3eb07f813f5dd5d9152930f4d
[ "MIT" ]
2
2015-02-22T04:52:22.000Z
2018-12-14T10:33:25.000Z
mongo_commander/widgets.py
thieman/mongo_commander
407cccb1abdf16b3eb07f813f5dd5d9152930f4d
[ "MIT" ]
null
null
null
mongo_commander/widgets.py
thieman/mongo_commander
407cccb1abdf16b3eb07f813f5dd5d9152930f4d
[ "MIT" ]
null
null
null
"""Widgets abstract out common View rendering patterns like displaying a list of logging messages or a bar chart. They typically take the ClusterData object, a window, and a list of keys they should care about from ClusterData. They then draw directly onto the window.""" from operator import itemgetter from .curses_u...
39.162162
99
0.655625
195
1,449
4.687179
0.471795
0.038293
0.071116
0.037199
0.087527
0.087527
0.087527
0.087527
0.087527
0
0
0.007092
0.221532
1,449
36
100
40.25
0.803191
0.214631
0
0.08
0
0
0.042591
0
0
0
0
0
0
1
0.16
false
0
0.08
0.04
0.4
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
ddfe5b6a2bd63f44708eacd4d1f196837c88804e
958
py
Python
tests/feature_propagation_test.py
emalgorithm/feature-propagation
de9ec54d5c035abe8d52d6ac4079156cc537e489
[ "Apache-2.0" ]
20
2022-03-09T00:06:23.000Z
2022-03-18T09:59:36.000Z
tests/feature_propagation_test.py
emalgorithm/feature-propagation
de9ec54d5c035abe8d52d6ac4079156cc537e489
[ "Apache-2.0" ]
2
2022-03-14T22:00:58.000Z
2022-03-21T02:11:50.000Z
tests/feature_propagation_test.py
twitter-research/feature-propagation
af2733589eab4023fca67f7e71a3b46ddbbea8cd
[ "Apache-2.0" ]
3
2022-03-09T05:36:53.000Z
2022-03-11T13:53:45.000Z
""" Copyright 2020 Twitter, Inc. SPDX-License-Identifier: Apache-2.0 """ import unittest import math import torch from feature_propagation import FeaturePropagation class TestFeaturePropagation(unittest.TestCase): def test_feature_propagation(self): X = torch.Tensor([1 / 2, 0, 1 / 3, 0]).reshape(-1, 1) ...
29.9375
114
0.59499
132
958
4.143939
0.386364
0.021938
0.021938
0.021938
0.053016
0.016453
0.016453
0
0
0
0
0.069293
0.231733
958
31
115
30.903226
0.673913
0.066806
0
0
0
0
0.009029
0
0
0
0
0
0.052632
1
0.052632
false
0
0.210526
0
0.315789
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
ddff02eefab9048a47d0d1a8a7f90b6f135ea01d
2,427
py
Python
tests/test_file.py
gaiadhi/traDSSAT
1d5615dbd4965bab5c2740134c706c1748ff5fae
[ "MIT" ]
6
2020-10-05T11:50:37.000Z
2022-02-24T08:36:22.000Z
tests/test_file.py
gaiadhi/traDSSAT
1d5615dbd4965bab5c2740134c706c1748ff5fae
[ "MIT" ]
23
2018-11-08T19:16:36.000Z
2021-07-20T23:34:18.000Z
tests/test_file.py
gaiadhi/traDSSAT
1d5615dbd4965bab5c2740134c706c1748ff5fae
[ "MIT" ]
9
2018-11-06T21:04:07.000Z
2021-06-19T05:43:24.000Z
import os import unittest import numpy.testing as npt from tradssat import SoilFile, WTHFile, MTHFile, ExpFile, CULFile, ECOFile, DSSATResults from tradssat.out import SoilTempOut, SoilNiOut, SummaryOut, PlantGroOut, ETOut, SoilWatOut, MulchOut from tests.utils import _test_read, _test_write, rsrcs, read_json, get_re...
35.173913
101
0.689328
324
2,427
4.916667
0.324074
0.035154
0.047709
0.055242
0.359699
0.319523
0.227872
0.124294
0.07533
0.07533
0
0.008891
0.212196
2,427
68
102
35.691176
0.824268
0.076638
0
0.2
0
0
0.038949
0.028986
0
0
0
0
0.066667
1
0.177778
false
0
0.133333
0
0.4
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
fb00206f76f0396ffc60257de95610a6a4ddebea
2,840
py
Python
airflow_spark_k8s/hooks/kubernetes.py
roitvt/airflow-spark-k8s
cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206
[ "Apache-2.0" ]
2
2020-04-26T11:12:11.000Z
2020-09-14T16:36:42.000Z
airflow_spark_k8s/hooks/kubernetes.py
roitvt/airflow-spark-k8s
cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206
[ "Apache-2.0" ]
1
2020-04-14T18:20:20.000Z
2020-04-14T18:26:27.000Z
airflow_spark_k8s/hooks/kubernetes.py
roitvt/airflow-spark-k8s
cd2a0ec63e1fb9ad43beb725a65e4d65a4d85206
[ "Apache-2.0" ]
null
null
null
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
37.866667
109
0.679225
364
2,840
5.137363
0.409341
0.053476
0.032086
0.030481
0.091444
0.059358
0.059358
0.041711
0
0
0
0.001866
0.24507
2,840
74
110
38.378378
0.870336
0.425
0
0.060606
0
0
0.155482
0.013953
0
0
0
0
0
1
0.121212
false
0
0.090909
0
0.363636
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
fb00a41d3f7f3756cedf6911bccc4f0b80b7ea08
325
py
Python
tests/test_main.py
david-kirby/gh-action-docs
b231d14b0b629b4f308eba6cff50a35a98c9f521
[ "MIT" ]
1
2021-03-21T14:31:46.000Z
2021-03-21T14:31:46.000Z
tests/test_main.py
david-kirby/gh-action-docs
b231d14b0b629b4f308eba6cff50a35a98c9f521
[ "MIT" ]
null
null
null
tests/test_main.py
david-kirby/gh-action-docs
b231d14b0b629b4f308eba6cff50a35a98c9f521
[ "MIT" ]
null
null
null
import logging import unittest from src.gh_action_docs import app logging.disable(logging.CRITICAL) class TestActionFileCheck(unittest.TestCase): def test_no_files_found(self): results = app.check_for_file("not-existent-file") self.assertFalse(results) if __name__ == "__main__": unittest.ma...
20.3125
57
0.747692
41
325
5.560976
0.731707
0
0
0
0
0
0
0
0
0
0
0
0.156923
325
15
58
21.666667
0.832117
0
0
0
0
0
0.076923
0
0
0
0
0
0.1
1
0.1
false
0
0.3
0
0.5
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
fb0391e58115974e49fe694882ae6ffe7af0d172
2,330
py
Python
5.4/IPheaderChecksum.py
Fecer/Computer-Networks
fe4fc5bd1af7f2957aee407675cb018fa83c6735
[ "MIT" ]
null
null
null
5.4/IPheaderChecksum.py
Fecer/Computer-Networks
fe4fc5bd1af7f2957aee407675cb018fa83c6735
[ "MIT" ]
null
null
null
5.4/IPheaderChecksum.py
Fecer/Computer-Networks
fe4fc5bd1af7f2957aee407675cb018fa83c6735
[ "MIT" ]
null
null
null
from xml.dom.minidom import parse def printLine(): print('------------------------------------------') if __name__ == '__main__': # 获取参数 DOMTree = parse("config.xml") collection = DOMTree.documentElement header = collection.getElementsByTagName('header')[0].childNodes[0].data printLine() ...
24.526316
76
0.546781
332
2,330
3.813253
0.262048
0.063981
0.037915
0.009479
0.077409
0.077409
0.025276
0
0
0
0
0.090495
0.245923
2,330
94
77
24.787234
0.630051
0.001717
0
0.173333
0
0
0.129518
0.018072
0
0
0
0
0
1
0.013333
false
0
0.013333
0
0.026667
0.386667
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
fb083e9034d5ab0e5ac6315a7e5ffb3f614cc66e
1,029
py
Python
tests/motors/spikebase_tank1.py
cschlack/pybricks-micropython
0abfd2918267a4e6e7a04062976ac1bb3da1f4b1
[ "MIT" ]
1
2021-12-27T00:09:37.000Z
2021-12-27T00:09:37.000Z
tests/motors/spikebase_tank1.py
cschlack/pybricks-micropython
0abfd2918267a4e6e7a04062976ac1bb3da1f4b1
[ "MIT" ]
null
null
null
tests/motors/spikebase_tank1.py
cschlack/pybricks-micropython
0abfd2918267a4e6e7a04062976ac1bb3da1f4b1
[ "MIT" ]
null
null
null
from pybricks.pupdevices import Motor from pybricks.tools import wait from pybricks.parameters import Port, Direction from pybricks.robotics import SpikeBase from pybricks import version print(version) # Initialize base. left_motor = Motor(Port.C) right_motor = Motor(Port.D) spike_base = SpikeBase(left_motor, right_m...
29.4
78
0.808552
156
1,029
5.153846
0.423077
0.078358
0.079602
0.052239
0.16791
0
0
0
0
0
0
0.017076
0.089407
1,029
34
79
30.264706
0.840982
0.179786
0
0
0
0
0.109785
0
0
0
0
0
0
1
0
false
0
0.217391
0
0.217391
0.130435
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
fb097754f4efecf6545051b20dad8dee8adaa09e
1,136
py
Python
cyto/basic/_dict.py
sbtinstruments/cyto
f452562e5e9ae9d2516cd92958af6e6a2c985dcc
[ "MIT" ]
5
2021-04-03T04:09:38.000Z
2021-12-17T15:05:18.000Z
cyto/basic/_dict.py
sbtinstruments/cyto
f452562e5e9ae9d2516cd92958af6e6a2c985dcc
[ "MIT" ]
1
2021-04-21T17:00:29.000Z
2021-04-21T19:12:30.000Z
cyto/basic/_dict.py
sbtinstruments/cyto
f452562e5e9ae9d2516cd92958af6e6a2c985dcc
[ "MIT" ]
null
null
null
from typing import Any, Dict def deep_update(dest: Dict[Any, Any], other: Dict[Any, Any]) -> None: """Update `dest` with the key/value pairs from `other`. Returns `None`. Note that we modify `dest` in place. Unlike the built-in `dict.Update`, `deep_update` recurses into sub-dictionaries. This effect...
39.172414
84
0.634683
167
1,136
4.239521
0.419162
0.067797
0.04661
0.042373
0
0
0
0
0
0
0
0
0.269366
1,136
28
85
40.571429
0.853012
0.557218
0
0.181818
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.090909
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
fb0b0d61a04227b98b766bf05a1daba731f1fb99
2,312
py
Python
api_logic_server_cli/create_from_model/ui_basic_web_app_run.py
valhuber/ApiLogicServer
a4acd8d886a18d4d500e0fffffcaa2f1c0765040
[ "BSD-3-Clause" ]
71
2021-01-23T17:34:33.000Z
2022-03-29T13:11:29.000Z
api_logic_server_cli/create_from_model/ui_basic_web_app_run.py
valhuber/ApiLogicServer
a4acd8d886a18d4d500e0fffffcaa2f1c0765040
[ "BSD-3-Clause" ]
38
2021-01-24T21:56:30.000Z
2022-03-08T18:49:00.000Z
api_logic_server_cli/create_from_model/ui_basic_web_app_run.py
valhuber/ApiLogicServer
a4acd8d886a18d4d500e0fffffcaa2f1c0765040
[ "BSD-3-Clause" ]
14
2021-01-23T16:20:44.000Z
2022-03-24T10:48:28.000Z
# runs ApiLogicServer basic web app: # python ui/basic_web_app/run.py # Export PYTHONPATH, to enable python ui/basic_web_app/run.py import os, sys, logging from pathlib import Path logger = logging.getLogger() current_path = Path(os.path.abspath(os.path.dirname(__file__))) current_path = current_path.parent.absolute...
36.125
105
0.733131
350
2,312
4.677143
0.362857
0.04887
0.067196
0.055589
0.189371
0.169823
0.103849
0.074527
0.074527
0.074527
0
0.014421
0.13019
2,312
63
106
36.698413
0.799602
0.189014
0
0.133333
0
0.022222
0.24275
0.038131
0
0
0
0
0
1
0
false
0
0.133333
0
0.133333
0.088889
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
fb0e6ce0d08d8c7d2254af54405bab1d2071c99d
4,219
py
Python
elastic_inference/apps/infer_service.py
qzheng527/cloud-native-demos
e2dbcfc0d90c1972bc34a35f5d85f83f2b2b6cf6
[ "Apache-2.0" ]
1
2020-04-06T10:11:27.000Z
2020-04-06T10:11:27.000Z
elastic_inference/apps/infer_service.py
qzheng527/cloud-native-demos
e2dbcfc0d90c1972bc34a35f5d85f83f2b2b6cf6
[ "Apache-2.0" ]
null
null
null
elastic_inference/apps/infer_service.py
qzheng527/cloud-native-demos
e2dbcfc0d90c1972bc34a35f5d85f83f2b2b6cf6
[ "Apache-2.0" ]
2
2021-01-19T21:42:08.000Z
2021-08-13T19:59:06.000Z
#!/usr/bin/python3 """ Infer service. It pick up single frame from frame queue and do inference. The result will be published to stream broker like below. +---------------------+ +---------------+ +-----------------------+ | Frame Queue (redis) | => | Infer Service | => | Stream broker (redis) | +--------...
35.158333
99
0.599194
504
4,219
4.742063
0.293651
0.020502
0.029289
0.040167
0.205021
0.084519
0.050209
0
0
0
0
0.006406
0.260014
4,219
119
100
35.453782
0.759129
0.254089
0
0
0
0
0.130239
0.012573
0
0
0
0
0
1
0.074627
false
0
0.164179
0
0.253731
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
fb0ed9b104a5cd8f1fa264f1f6318ff1bd1ed415
288
py
Python
P25010-Guangzhou-Jiachengwu/week07/ex_filecopy.py
xiaohh2016/python-25
8981ba89bfb32754c3f9c881ee8fcaf13332ce51
[ "Apache-2.0" ]
1
2019-09-11T23:24:58.000Z
2019-09-11T23:24:58.000Z
P25010-Guangzhou-Jiachengwu/week07/ex_filecopy.py
xiaohh2016/python-25
8981ba89bfb32754c3f9c881ee8fcaf13332ce51
[ "Apache-2.0" ]
null
null
null
P25010-Guangzhou-Jiachengwu/week07/ex_filecopy.py
xiaohh2016/python-25
8981ba89bfb32754c3f9c881ee8fcaf13332ce51
[ "Apache-2.0" ]
5
2019-09-11T06:33:34.000Z
2020-02-17T12:52:31.000Z
# 使用Python copy一个文件,从a目录,copy文件到b目录 import os from pathlib import Path import shutil src_path=Path('a/test') dst_path=Path('b/test') with open(src_path,'w') as src_file: src_file.write('abcd\n1234') shutil.copy(src_path,dst_path) print(os.stat(src_path)) print(os.stat(dst_path))
18
36
0.756944
51
288
4.098039
0.509804
0.133971
0.105263
0.143541
0
0
0
0
0
0
0
0.015444
0.100694
288
16
37
18
0.791506
0.114583
0
0
0
0
0.090551
0
0
0
0
0
0
1
0
false
0
0.3
0
0.3
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
fb0fe20410b5c56d7291f72bd22a841605532524
548
py
Python
vanirio/module/interface/textfield.py
vaniriovanhalteren/sdk-python
947b08fbe046d46275bf39bc95984fbf3edc0e6c
[ "MIT" ]
null
null
null
vanirio/module/interface/textfield.py
vaniriovanhalteren/sdk-python
947b08fbe046d46275bf39bc95984fbf3edc0e6c
[ "MIT" ]
null
null
null
vanirio/module/interface/textfield.py
vaniriovanhalteren/sdk-python
947b08fbe046d46275bf39bc95984fbf3edc0e6c
[ "MIT" ]
1
2022-02-08T08:15:07.000Z
2022-02-08T08:15:07.000Z
from vanirio.module.interface.base import Base class Textfield(Base): def __init__(self, tag: str, label: str): """ A Textfield interface object is used as a parameter for module software. The interface can be used for string values. :param label: GUI label name :param tag...
24.909091
70
0.600365
68
548
4.661765
0.514706
0.050473
0
0
0
0
0
0
0
0
0
0
0.313869
548
21
71
26.095238
0.843085
0.319343
0
0
0
0
0.027778
0
0
0
0
0
0
1
0.2
false
0
0.1
0
0.5
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
fb1042dc49fa8be20e43a1d8892da1c69f7bf202
2,348
py
Python
utils.py
lanyinemt2/ST-PlusPlus
7c31abfcf21e390a06c4d5da1f77a9fe5ff071ed
[ "MIT" ]
73
2021-06-10T01:12:04.000Z
2022-03-30T08:31:24.000Z
utils.py
lanyinemt2/ST-PlusPlus
7c31abfcf21e390a06c4d5da1f77a9fe5ff071ed
[ "MIT" ]
12
2021-07-01T00:27:11.000Z
2022-03-17T05:09:49.000Z
utils.py
lanyinemt2/ST-PlusPlus
7c31abfcf21e390a06c4d5da1f77a9fe5ff071ed
[ "MIT" ]
18
2021-06-10T11:24:31.000Z
2022-03-31T16:48:58.000Z
import numpy as np from PIL import Image def count_params(model): param_num = sum(p.numel() for p in model.parameters()) return param_num / 1e6 class meanIOU: def __init__(self, num_classes): self.num_classes = num_classes self.hist = np.zeros((num_classes, num_classes)) def _fast_h...
33.070423
106
0.520017
352
2,348
3.386364
0.346591
0.11745
0.082215
0.022651
0.04698
0.04698
0
0
0
0
0
0.114724
0.305792
2,348
70
107
33.542857
0.616564
0
0
0
0
0
0.013203
0
0
0
0
0
0
1
0.125
false
0
0.035714
0.017857
0.267857
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
fb107ee4532ec8cc33a8bdd76e5d3973b9f4d818
3,671
py
Python
lib/bus/client.py
hoffmannmatheus/eaZy
d79ade0e01a23f1c6fa585ee378ed70c95976b05
[ "MIT", "Unlicense" ]
3
2015-01-11T15:29:48.000Z
2020-09-08T14:52:14.000Z
lib/bus/client.py
hoffmannmatheus/eaZy
d79ade0e01a23f1c6fa585ee378ed70c95976b05
[ "MIT", "Unlicense" ]
null
null
null
lib/bus/client.py
hoffmannmatheus/eaZy
d79ade0e01a23f1c6fa585ee378ed70c95976b05
[ "MIT", "Unlicense" ]
null
null
null
import zmq import json """ Class used by the Client entity to communicate to the Server. The communication channel should be configured using the three ports: - com_port: Used to receive broadcast messages from the Server entity. - set_port: Used to send messages/request data to the Server entity. - res_port: Used t...
35.990196
79
0.625443
496
3,671
4.544355
0.300403
0.035936
0.024401
0.030612
0.149068
0.085182
0.027507
0
0
0
0
0.008305
0.278398
3,671
101
80
36.346535
0.842582
0.376192
0
0.043478
0
0
0.067066
0
0
0
0
0
0
1
0.108696
false
0
0.043478
0
0.282609
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
fb12ef0139d2387d5de8cd18fde96987527d5c7f
2,821
py
Python
ops.py
fivoskal/MGAN
2eb1407c907af5f472a80e8ae363bee57d5cfaa4
[ "MIT" ]
37
2018-03-07T15:32:09.000Z
2022-03-01T06:54:06.000Z
ops.py
fivoskal/MGAN
2eb1407c907af5f472a80e8ae363bee57d5cfaa4
[ "MIT" ]
2
2018-09-19T23:20:07.000Z
2019-06-15T13:45:54.000Z
ops.py
fivoskal/MGAN
2eb1407c907af5f472a80e8ae363bee57d5cfaa4
[ "MIT" ]
18
2018-05-23T11:09:34.000Z
2022-03-22T08:38:13.000Z
from __future__ import division from __future__ import print_function from __future__ import absolute_import import numpy as np import tensorflow as tf def lrelu(x, alpha=0.2): return tf.maximum(x, alpha * x) def linear(input, output_dim, scope='linear', stddev=0.01): norm = tf.random_normal_initializer(stdd...
39.732394
98
0.611485
401
2,821
4.057357
0.246883
0.047326
0.047941
0.053473
0.411801
0.356484
0.209588
0.111862
0.111862
0.081131
0
0.022967
0.259128
2,821
70
99
40.3
0.755502
0.059553
0
0.111111
0
0
0.023783
0
0
0
0
0
0
1
0.092593
false
0
0.092593
0.018519
0.296296
0.018519
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
fb1af2b6ba7c64773e3eb0f188fe914ea2ee6f01
1,002
py
Python
src/server/api/API_ingest/dropbox_handler.py
carlos-dominguez/paws-data-pipeline
5c224e1f259c079631df7d3514a873875c633221
[ "MIT" ]
27
2019-11-20T20:20:30.000Z
2022-01-31T17:24:55.000Z
src/server/api/API_ingest/dropbox_handler.py
mrcrnkovich/paws-data-pipeline
7c0bd4c5f23276f541611cb564f2f5abbb6b9887
[ "MIT" ]
348
2019-11-26T20:34:02.000Z
2022-02-27T20:28:20.000Z
src/server/api/API_ingest/dropbox_handler.py
mrcrnkovich/paws-data-pipeline
7c0bd4c5f23276f541611cb564f2f5abbb6b9887
[ "MIT" ]
20
2019-12-03T23:50:33.000Z
2022-02-09T18:38:25.000Z
import dropbox try: from secrets_dict import DROPBOX_APP except ImportError: # Not running locally print("Couldn't get DROPBOX_APP from file, trying environment **********") from os import environ try: DROPBOX_APP = environ['DROPBOX_APP'] except KeyError: # Not in environment ...
27.833333
89
0.691617
140
1,002
4.685714
0.378571
0.091463
0.068598
0.045732
0.10061
0.10061
0.10061
0.10061
0
0
0
0
0.228543
1,002
36
90
27.833333
0.848642
0.117764
0
0.086957
0
0
0.144318
0
0
0
0
0
0
1
0.130435
false
0
0.173913
0
0.347826
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
fb1c95abaf459d4750608d1b3b3b8a20f69d8f30
504
py
Python
KNN/sklearn API.py
wu-huipeng/-
84f681f7488e45c5f357f558defbc27aaf285a16
[ "Apache-2.0" ]
7
2019-09-09T08:55:41.000Z
2020-02-08T13:24:59.000Z
KNN/sklearn API.py
wu-huipeng/machine-learning
84f681f7488e45c5f357f558defbc27aaf285a16
[ "Apache-2.0" ]
null
null
null
KNN/sklearn API.py
wu-huipeng/machine-learning
84f681f7488e45c5f357f558defbc27aaf285a16
[ "Apache-2.0" ]
null
null
null
from sklearn.neighbors import KNeighborsClassifier from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split x , y = make_classification(n_samples=1000,n_features=40,random_state=42) #构造数据 x_train, x_test ,y_train ,y_test = train_test_split(x,y,random_state=42) #划分数据...
22.909091
81
0.759921
79
504
4.594937
0.468354
0.090909
0.077135
0.082645
0.088154
0
0
0
0
0
0
0.030162
0.144841
504
21
82
24
0.812065
0.065476
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.3
0
0.3
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
fb2248e40d3ed11337557c6e7ae9b71e63c167b4
3,622
py
Python
BP.py
WolfMy/predict_stock
7af33404875d19ea93328b8f220d3bd2c0f6d2e5
[ "MIT" ]
1
2021-09-28T02:02:05.000Z
2021-09-28T02:02:05.000Z
BP.py
WolfMy/predict_stock
7af33404875d19ea93328b8f220d3bd2c0f6d2e5
[ "MIT" ]
null
null
null
BP.py
WolfMy/predict_stock
7af33404875d19ea93328b8f220d3bd2c0f6d2e5
[ "MIT" ]
1
2020-10-13T12:13:43.000Z
2020-10-13T12:13:43.000Z
import tensorflow as tf import numpy as np import pandas as pd from MACD_RSI import init_train_data def get_batch(data, label, batch_size, num_epochs): input_queue = tf.train.slice_input_producer([data, label], num_epochs=num_epochs, shuffle=True, capacity=32) x_batch, y_batch = tf.train.batch(input_queue, bat...
48.293333
134
0.655163
511
3,622
4.405088
0.311155
0.021324
0.031986
0.021324
0.257663
0.166148
0.092403
0.078187
0.051533
0.051533
0
0.038353
0.215351
3,622
75
135
48.293333
0.753695
0.099117
0
0.034483
0
0
0.044253
0
0
0
0
0
0
1
0.034483
false
0
0.068966
0
0.137931
0.086207
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
fb24589362ad5872b751372ecb28f328c4ec3892
1,907
py
Python
utils.py
psergal/quiz
9420db013a4ca0662471f716ed5fc1f9cfb2502a
[ "MIT" ]
null
null
null
utils.py
psergal/quiz
9420db013a4ca0662471f716ed5fc1f9cfb2502a
[ "MIT" ]
null
null
null
utils.py
psergal/quiz
9420db013a4ca0662471f716ed5fc1f9cfb2502a
[ "MIT" ]
null
null
null
import argparse from pathlib import Path import random def get_args(): parser = argparse.ArgumentParser(description='Launching VK chat bot') parser.add_argument('-m', '--memcached_server', default='redis-12388.c52.us-east-1-4.ec2.cloud.redislabs.com', help='Set the server to store and ...
44.348837
114
0.624541
239
1,907
4.690377
0.372385
0.026762
0.064228
0.032114
0.039251
0
0
0
0
0
0
0.010182
0.278972
1,907
42
115
45.404762
0.805091
0
0
0.052632
0
0.026316
0.187205
0.058207
0
0
0
0
0
1
0.052632
false
0
0.078947
0
0.184211
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
fb2468353432def77628e6adb7da27b64ec4c1b6
2,684
py
Python
text-editor.py
Shubham05178/Text-Editor
82fff346880bb9e2088a16af20695bb46d68d29a
[ "MIT" ]
1
2021-09-24T16:13:14.000Z
2021-09-24T16:13:14.000Z
text-editor.py
Shubham05178/Text-Editor
82fff346880bb9e2088a16af20695bb46d68d29a
[ "MIT" ]
null
null
null
text-editor.py
Shubham05178/Text-Editor
82fff346880bb9e2088a16af20695bb46d68d29a
[ "MIT" ]
null
null
null
#Author Shubham Nagaria. ShubhamLabs. #Coder. #subhamnagaria@gmail.com import tkinter from tkinter import * from tkinter import Tk, scrolledtext, filedialog, messagebox root = Tk(className=" TextEditor-ShubhamLabs") #name your texteditor in quotes textPad = scrolledtext.ScrolledText(root, width=100, ...
32.731707
256
0.676975
374
2,684
4.791444
0.486631
0.035714
0.030692
0.053013
0.125
0.073661
0.073661
0
0
0
0
0.013641
0.207899
2,684
81
257
33.135802
0.829257
0.201192
0
0.072727
0
0
0.122758
0.012332
0
0
0
0
0
1
0.090909
false
0
0.054545
0
0.145455
0.018182
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
fb28158cf8145cabc88ee46d040cb82c54962f04
787
py
Python
fn/instaAPI.py
elsou/ETSE-Warbot
4fd5351688e3cd81d9eeed50586027830dba0c5b
[ "MIT" ]
2
2021-11-09T23:14:53.000Z
2021-11-11T01:09:28.000Z
fn/instaAPI.py
elsou/etse-warbot
4fd5351688e3cd81d9eeed50586027830dba0c5b
[ "MIT" ]
null
null
null
fn/instaAPI.py
elsou/etse-warbot
4fd5351688e3cd81d9eeed50586027830dba0c5b
[ "MIT" ]
null
null
null
from instabot import Bot import os import shutil import time # Dado un tweet (str) e imaxe (str '*.jpeg'), publica o contido en instagram def upload(tweet, imaxe): clean_up() bot = Bot() bot.login(username="usename", password="password") time.sleep(1) bot.upload_photo(imaxe, caption=tweet) # ... d...
23.848485
76
0.617535
112
787
4.276786
0.589286
0.066806
0.041754
0.058455
0
0
0
0
0
0
0
0.001704
0.25413
787
32
77
24.59375
0.81431
0.205845
0
0
0
0
0.118699
0.035772
0
0
0
0
0
1
0.095238
false
0.047619
0.190476
0
0.285714
0.047619
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
fb29a12d8ace63ae0afef58e7d2a5734abf0e3c4
2,088
py
Python
memories/api/utils.py
marchelbling/memories-api
e82d6c6ae2b7873fc35ebb301fc073e3ef968a1e
[ "MIT" ]
null
null
null
memories/api/utils.py
marchelbling/memories-api
e82d6c6ae2b7873fc35ebb301fc073e3ef968a1e
[ "MIT" ]
null
null
null
memories/api/utils.py
marchelbling/memories-api
e82d6c6ae2b7873fc35ebb301fc073e3ef968a1e
[ "MIT" ]
null
null
null
import time import logging from functools import wraps logging.basicConfig(level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s') def timehttp(endpoint): @wraps(endpoint) def timed(self, request, response): start = time.time() result = endpoint(self, reque...
33.677419
93
0.561782
220
2,088
5.263636
0.322727
0.034542
0.031088
0.036269
0.115717
0.07772
0.07772
0.07772
0.07772
0
0
0.00625
0.310345
2,088
61
94
34.229508
0.797917
0
0
0.235294
0
0
0.08477
0
0
0
0
0
0
1
0.117647
false
0
0.058824
0
0.352941
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
fb2abd56368d34ecbc07a95fe8f4a470ff486455
24,641
py
Python
cssedit/editor/gui_qt.py
albertvisser/cssedit
e17ed1b43a0e4d50bfab6a69da47b92cd3213724
[ "MIT" ]
null
null
null
cssedit/editor/gui_qt.py
albertvisser/cssedit
e17ed1b43a0e4d50bfab6a69da47b92cd3213724
[ "MIT" ]
null
null
null
cssedit/editor/gui_qt.py
albertvisser/cssedit
e17ed1b43a0e4d50bfab6a69da47b92cd3213724
[ "MIT" ]
null
null
null
"""cssedit: PyQt specific stuff """ import sys import os import PyQt5.QtWidgets as qtw import PyQt5.QtGui as gui import PyQt5.QtCore as core from .cssedit import parse_log_line, get_definition_from_file class MainGui(qtw.QMainWindow): """Hoofdscherm van de applicatie """ def __init__(self, master, app, ti...
35.302292
97
0.582363
2,820
24,641
5.008511
0.203546
0.023364
0.023931
0.017134
0.386576
0.348556
0.310394
0.268267
0.241008
0.217077
0
0.008041
0.308591
24,641
697
98
35.352941
0.820978
0.25628
0
0.401345
0
0
0.078799
0.001867
0
0
0
0.001435
0
1
0.130045
false
0.002242
0.013453
0.004484
0.190583
0.004484
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
fb2bb261a73c74317e9f4c04091925e5a2fa1f5e
2,199
py
Python
quantrocket/satellite.py
Jay-Jay-D/quantrocket-client
b70ac199382d22d56fad923ca2233ce027f3264a
[ "Apache-2.0" ]
null
null
null
quantrocket/satellite.py
Jay-Jay-D/quantrocket-client
b70ac199382d22d56fad923ca2233ce027f3264a
[ "Apache-2.0" ]
null
null
null
quantrocket/satellite.py
Jay-Jay-D/quantrocket-client
b70ac199382d22d56fad923ca2233ce027f3264a
[ "Apache-2.0" ]
1
2019-06-12T11:34:27.000Z
2019-06-12T11:34:27.000Z
# Copyright 2017 QuantRocket - All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
32.820896
93
0.71578
305
2,199
5.02623
0.4
0.052185
0.073059
0.020874
0.10698
0.071755
0
0
0
0
0
0.008601
0.206912
2,199
66
94
33.318182
0.870413
0.473852
0
0.083333
0
0
0.105312
0
0
0
0
0
0
1
0.083333
false
0
0.166667
0.041667
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
fb2ea9cb95f216543b39462cef45459a422c0631
12,367
py
Python
blog_server/app/comm/GeneralOperate.py
szhu9903/flask-react-blog
b1939a5d95e0084a82c230f2a20a9b197d2eef46
[ "MIT" ]
2
2022-03-12T14:51:42.000Z
2022-03-25T13:20:16.000Z
blog_server/app/comm/GeneralOperate.py
szhu9903/flask-react-blog
b1939a5d95e0084a82c230f2a20a9b197d2eef46
[ "MIT" ]
7
2022-03-19T02:17:54.000Z
2022-03-28T10:12:52.000Z
blog_server/app/comm/GeneralOperate.py
szhu9903/flask-react-blog
b1939a5d95e0084a82c230f2a20a9b197d2eef46
[ "MIT" ]
1
2022-03-25T13:20:28.000Z
2022-03-25T13:20:28.000Z
import copy from flask import g from app.comm.TableModule import TableModule from app.comm.SqlExecute import SqlExecute from app.unit_config import default_result, default_limit_size, depth_post_map class GeneralOperate(object): def __init__(self, module:TableModule): self.module = module # 请求参数检查链...
32.890957
91
0.602248
1,549
12,367
4.491285
0.114267
0.010349
0.037947
0.051746
0.406353
0.330315
0.290068
0.265919
0.240621
0.189162
0
0.001516
0.306542
12,367
375
92
32.978667
0.809701
0.068246
0
0.345324
0
0
0.06064
0.009598
0
0
0.000349
0
0
1
0.136691
false
0.007194
0.017986
0.043165
0.284173
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
fb2ec99c88e89e1bd90620cd1221b2fc2ec8cc12
4,921
py
Python
SmartDeal-Training/models/mobilenetv2_se_mask.py
VITA-Group/SmartDeal
8e1de77497eedbeea412a8c51142834c28a53709
[ "MIT" ]
2
2021-07-20T02:48:35.000Z
2021-11-29T02:55:36.000Z
SmartDeal-Training/models/mobilenetv2_se_mask.py
VITA-Group/SmartDeal
8e1de77497eedbeea412a8c51142834c28a53709
[ "MIT" ]
null
null
null
SmartDeal-Training/models/mobilenetv2_se_mask.py
VITA-Group/SmartDeal
8e1de77497eedbeea412a8c51142834c28a53709
[ "MIT" ]
null
null
null
'''MobileNetV2 in PyTorch. See the paper "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation" for more details. ''' import torch import torch.nn as nn import torch.nn.functional as F from se import SEConv2d, SELinear THRESHOLD = 4e-3 __all__ = ['SEMaskMobileNet...
36.451852
116
0.613696
661
4,921
4.426626
0.192133
0.058442
0.07177
0.06972
0.427204
0.405673
0.29255
0.203691
0.176692
0.103896
0
0.060473
0.260719
4,921
134
117
36.723881
0.743815
0.268441
0
0.091954
0
0
0.01433
0
0
0
0
0
0
1
0.091954
false
0.011494
0.045977
0
0.241379
0.034483
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
fb2f3eb592211892766f130ad1032ee5dd774617
911
py
Python
twitter_video.py
keselekpermen69/build_scripts
110392778ad0a8585efa944100aa1c13ef28469e
[ "MIT" ]
5
2020-08-19T05:44:25.000Z
2021-05-13T05:15:50.000Z
twitter_video.py
MrMissx/scripts
110392778ad0a8585efa944100aa1c13ef28469e
[ "MIT" ]
null
null
null
twitter_video.py
MrMissx/scripts
110392778ad0a8585efa944100aa1c13ef28469e
[ "MIT" ]
null
null
null
import requests def get_link(): return input("Give me a twitter video link: ") def download(url: str): name = url.rsplit('/')[-1] if("?tag" in name): name = name.split('?')[0] r = requests.get(url, allow_redirects=True) open(name, 'wb').write(r.content) def main(): ...
24.621622
86
0.531284
107
911
4.411215
0.588785
0.029661
0
0
0
0
0
0
0
0
0
0.012759
0.311745
911
37
87
24.621622
0.740032
0.025247
0
0.076923
0
0
0.227059
0
0
0
0
0
0
1
0.115385
false
0
0.038462
0.038462
0.269231
0.115385
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
fb2fabace401a8d0a972f811af8b0a86ed348c85
2,951
py
Python
frappe-bench/apps/erpnext/erpnext/regional/india/utils.py
Semicheche/foa_frappe_docker
a186b65d5e807dd4caf049e8aeb3620a799c1225
[ "MIT" ]
null
null
null
frappe-bench/apps/erpnext/erpnext/regional/india/utils.py
Semicheche/foa_frappe_docker
a186b65d5e807dd4caf049e8aeb3620a799c1225
[ "MIT" ]
null
null
null
frappe-bench/apps/erpnext/erpnext/regional/india/utils.py
Semicheche/foa_frappe_docker
a186b65d5e807dd4caf049e8aeb3620a799c1225
[ "MIT" ]
null
null
null
import frappe, re from frappe import _ from frappe.utils import cstr from erpnext.regional.india import states, state_numbers from erpnext.controllers.taxes_and_totals import get_itemised_tax, get_itemised_taxable_amount def validate_gstin_for_india(doc, method): if not hasattr(doc, 'gstin'): return if doc.gstin:...
36.8875
102
0.74856
482
2,951
4.286307
0.226141
0.088093
0.03727
0.024685
0.163601
0.07938
0.056147
0.030978
0.030978
0
0
0.008475
0.120298
2,951
79
103
37.35443
0.787365
0.027109
0
0.033333
0
0.016667
0.145251
0.02514
0
0
0
0
0
1
0.083333
false
0
0.083333
0
0.266667
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
fb336072c83fb710a31348edb291a0b22c416bc1
706
py
Python
ProgsByDataset/UnpaywallMAG/create_unpaywall_refs.py
ashwath92/MastersThesis
f74755dc0c32f316da3c860dd5dbfa4c9cad97b3
[ "MIT" ]
5
2020-11-05T07:11:54.000Z
2021-08-04T21:37:28.000Z
ProgsByDataset/UnpaywallMAG/create_unpaywall_refs.py
ashwath92/MastersThesis
f74755dc0c32f316da3c860dd5dbfa4c9cad97b3
[ "MIT" ]
null
null
null
ProgsByDataset/UnpaywallMAG/create_unpaywall_refs.py
ashwath92/MastersThesis
f74755dc0c32f316da3c860dd5dbfa4c9cad97b3
[ "MIT" ]
4
2020-11-05T06:04:38.000Z
2021-08-02T16:25:42.000Z
import re import csv # Unpaywall citing, cited list based on mag ids unpaywall_citing_cited_file = open('AdditionalOutputs/unpaywallmag_references.tsv', 'w') fieldnames = ['citing_mag_id', 'cited_mag_id'] writer = csv.DictWriter(unpaywall_citing_cited_file, delimiter="\t", fieldnames=fieldnames) citation_pattern = r...
39.222222
93
0.730878
95
706
5.136842
0.505263
0.061475
0.122951
0.098361
0
0
0
0
0
0
0
0.019802
0.141643
706
17
94
41.529412
0.785479
0.063739
0
0
0
0
0.251142
0.141553
0
0
0
0
0
1
0
false
0
0.166667
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
fb336c9971fca1cc78e0225c7dbfc79890eb6bc4
721
py
Python
Configuration/Skimming/python/PA_MinBiasSkim_cff.py
nistefan/cmssw
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
[ "Apache-2.0" ]
null
null
null
Configuration/Skimming/python/PA_MinBiasSkim_cff.py
nistefan/cmssw
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
[ "Apache-2.0" ]
null
null
null
Configuration/Skimming/python/PA_MinBiasSkim_cff.py
nistefan/cmssw
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
[ "Apache-2.0" ]
null
null
null
import FWCore.ParameterSet.Config as cms # HLT dimuon trigger import HLTrigger.HLTfilters.hltHighLevel_cfi hltMinBiasHI = HLTrigger.HLTfilters.hltHighLevel_cfi.hltHighLevel.clone() hltMinBiasHI.HLTPaths = ["HLT_PAL1MinimumBiasHF_OR_SinglePixelTrack_ForSkim_v*"] hltMinBiasHI.throw = False hltMinBiasHI.andOr = True # s...
32.772727
80
0.769764
76
721
7.210526
0.736842
0.069343
0.113139
0.124088
0
0
0
0
0
0
0
0.0064
0.133148
721
21
81
34.333333
0.8704
0.142857
0
0
0
0
0.215334
0.120718
0
0
0
0
0
1
0
false
0
0.133333
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
fb360bb15c3aa59399389bed8b1e64bb7c548a75
3,696
py
Python
launch_hits.py
hinthornw/Pointing
e3cbaf2c5f54d20fe959406714b38634bc4bb3fe
[ "MIT" ]
null
null
null
launch_hits.py
hinthornw/Pointing
e3cbaf2c5f54d20fe959406714b38634bc4bb3fe
[ "MIT" ]
null
null
null
launch_hits.py
hinthornw/Pointing
e3cbaf2c5f54d20fe959406714b38634bc4bb3fe
[ "MIT" ]
null
null
null
from __future__ import print_function import argparse import json from boto.mturk.price import Price from boto.mturk.question import HTMLQuestion from boto.mturk.connection import MTurkRequestError import os import simpleamt import sys import inspect def printPlus(*args): print(inspect.getouterframes(inspect.cu...
36.594059
83
0.628247
468
3,696
4.739316
0.326923
0.070334
0.036069
0.018034
0.10505
0.10505
0.10505
0.092426
0.036069
0.036069
0
0.00805
0.260552
3,696
100
84
36.96
0.803513
0.161526
0
0.028169
0
0
0.086957
0.006814
0
0
0
0.01
0
1
0.014085
false
0
0.140845
0
0.15493
0.070423
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
fb36ee81af365dbd4ec4f2c01bf63d11e510fd29
2,405
py
Python
scripts/skinning/utils/skin.py
robertjoosten/skinning-tools
1f1ec6c092fdc1e39aa82a711a13a0041f9d5730
[ "MIT" ]
31
2018-09-08T16:42:01.000Z
2022-03-31T12:31:21.000Z
scripts/skinning/utils/skin.py
robertjoosten/skinning-tools
1f1ec6c092fdc1e39aa82a711a13a0041f9d5730
[ "MIT" ]
null
null
null
scripts/skinning/utils/skin.py
robertjoosten/skinning-tools
1f1ec6c092fdc1e39aa82a711a13a0041f9d5730
[ "MIT" ]
11
2018-10-01T09:57:53.000Z
2022-03-19T06:53:02.000Z
from maya import cmds from maya.api import OpenMaya from maya.api import OpenMayaAnim from functools import partial from skinning.utils import api from skinning.vendor import apiundo def get_cluster_fn(node): """ Loop over an objects history and return the skin cluster api node that is part dependency gr...
32.066667
90
0.69106
295
2,405
5.532203
0.349153
0.094363
0.025735
0.038603
0.251225
0.229167
0.229167
0.229167
0.158088
0.158088
0
0
0.208732
2,405
74
91
32.5
0.857593
0.401247
0
0
0
0
0.034039
0
0
0
0
0
0
1
0.1
false
0
0.2
0
0.366667
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
fb3817bdbf09d70c073184d064ea74bede74d6b3
1,607
py
Python
z_exams/exam_2018_08_26/ex_03_descriptions.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
1
2019-06-05T11:16:08.000Z
2019-06-05T11:16:08.000Z
z_exams/exam_2018_08_26/ex_03_descriptions.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
null
null
null
z_exams/exam_2018_08_26/ex_03_descriptions.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
null
null
null
import re REGEX = { "name": r"name is (?P<name>[A-Z][A-Za-z]+ [A-Z][A-Za-z]+)", "age": r" (?P<age>[0-9]{2}) years", "date": r"on (?P<date>[0-9]{2}-[0-9]{2}-[0-9]{4})." } class Person: def __init__(self, full_name, age, birth_date): self.__full_name = full_name self.__age = age ...
23.289855
97
0.533914
215
1,607
3.832558
0.297674
0.067961
0.058252
0.054612
0.024272
0
0
0
0
0
0
0.015247
0.306161
1,607
68
98
23.632353
0.723767
0
0
0.153846
0
0.038462
0.185439
0.037337
0
0
0
0
0
1
0.096154
false
0
0.019231
0.076923
0.211538
0.038462
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
fb3a72f79061cb96a4d85d2974153bcda4983c49
7,667
py
Python
GoogleSheetsJobParser.py
mattfromsydney/Scientific-Report-Generator
17ddfe42e38d83341460a6de7b0b156bf7cd820a
[ "MIT" ]
null
null
null
GoogleSheetsJobParser.py
mattfromsydney/Scientific-Report-Generator
17ddfe42e38d83341460a6de7b0b156bf7cd820a
[ "MIT" ]
null
null
null
GoogleSheetsJobParser.py
mattfromsydney/Scientific-Report-Generator
17ddfe42e38d83341460a6de7b0b156bf7cd820a
[ "MIT" ]
null
null
null
""" NOTE on google sheets format: The google sheets document must have the following: Columns A and B from cell 2 down are all the sample details Column A is the name of the detail and Column B is the value of the detail Columns B and onwards can be anything but there must be three speicifc...
43.811429
104
0.60493
1,015
7,667
4.502463
0.214778
0.032823
0.029759
0.020131
0.315536
0.271554
0.234792
0.212691
0.199125
0.199125
0
0.009472
0.32529
7,667
175
105
43.811429
0.873961
0.478805
0
0.129032
0
0
0.067358
0.00709
0
0
0
0
0
1
0.064516
false
0.016129
0.048387
0
0.177419
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
fb3a92014d6912b9f49fb4d369df04c828bdc5f0
6,565
py
Python
Week3-Case-Studies-Part1/Language-Processing/Language_Processing.py
Lamanova/Harvard-PH526x-Lab
168e4c16fa067905142bb6be106277f228d591c5
[ "MIT" ]
7
2017-08-13T03:03:55.000Z
2022-02-06T17:08:12.000Z
Week3-Case-Studies-Part1/Language-Processing/Language_Processing.py
Lamanova/Harvard-PH526x-Lab
168e4c16fa067905142bb6be106277f228d591c5
[ "MIT" ]
null
null
null
Week3-Case-Studies-Part1/Language-Processing/Language_Processing.py
Lamanova/Harvard-PH526x-Lab
168e4c16fa067905142bb6be106277f228d591c5
[ "MIT" ]
10
2017-09-29T08:22:10.000Z
2021-06-17T22:51:59.000Z
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Feb 28 22:41:26 2017 @author: lamahamadeh """ ''' Case Study about Language Processing ''' #counting words #--------------- text = "This is a test text. We're keping this text short to keep things manageable." #test text #Using loops #----------- d...
36.071429
282
0.6262
880
6,565
4.609091
0.292045
0.034517
0.018984
0.016765
0.341963
0.302761
0.259862
0.259862
0.244576
0.203649
0
0.007909
0.17182
6,565
181
283
36.270718
0.738091
0.46489
0
0.157895
0
0
0.156619
0.038915
0
0
0
0
0
1
0.052632
false
0
0.052632
0
0.144737
0.197368
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
3485a97e04399f112e63493e9a7df6b69342ec0c
313
py
Python
Microservices/Events/Events/producer.py
satyap54/Microservices-Architecture
be397b351a61eb21229fad021590fcb0b07b8089
[ "MIT" ]
null
null
null
Microservices/Events/Events/producer.py
satyap54/Microservices-Architecture
be397b351a61eb21229fad021590fcb0b07b8089
[ "MIT" ]
null
null
null
Microservices/Events/Events/producer.py
satyap54/Microservices-Architecture
be397b351a61eb21229fad021590fcb0b07b8089
[ "MIT" ]
null
null
null
import asyncio import aiormq async def publish(method, event_id): connection = await aiormq.connect('') channel = await connection.channel() body = bytes(str(event_id), 'utf-8') await channel.basic_publish( body, exchange='', routing_key='admin' ) await connection.close()
20.866667
46
0.664537
37
313
5.513514
0.648649
0.068627
0
0
0
0
0
0
0
0
0
0.004082
0.217252
313
14
47
22.357143
0.828571
0
0
0
0
0
0.031949
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
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
3485c332458e998d42d6f67bb82de0ba508582c0
8,473
py
Python
timezone/embeds.py
duanegtr/legendv3-cogs
ffde1452a75ad42b4f6511b612ce486e96fcd6de
[ "MIT" ]
10
2020-05-25T13:32:30.000Z
2022-02-01T12:33:07.000Z
timezone/embeds.py
darcyle/tl-cogs
6b13c4a6247115571c5a2bb6ea98ed1fe2d44d79
[ "MIT" ]
2
2020-05-23T22:53:07.000Z
2020-08-09T11:28:12.000Z
timezone/embeds.py
darcyle/tl-cogs
6b13c4a6247115571c5a2bb6ea98ed1fe2d44d79
[ "MIT" ]
7
2020-05-18T17:37:33.000Z
2022-01-13T04:08:05.000Z
"""Embeds for Timezone Legends discord bot.""" import time import discord from dateutil.parser import parse # pip install python-dateutil from pytz import timezone from datetime import datetime class Timezone_Embeds: def __init__(self, description=None, color=0x5c0708, show_footer=True, show_timestamp=True, show_t...
57.639456
331
0.688304
1,189
8,473
4.779647
0.232969
0.040824
0.054901
0.071793
0.535809
0.506599
0.45117
0.426535
0.373922
0.342425
0
0.051293
0.164759
8,473
146
332
58.034247
0.751731
0.03281
0
0.301075
0
0.096774
0.324392
0.004549
0
0
0.001255
0
0
1
0.021505
false
0
0.053763
0
0.086022
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
34895fa122da2aa59b08dae55bc7b95297e3503a
1,521
py
Python
utils/commonutils.py
rupakc/Storyweaver
9a6ec1c040a09f730cc6f32ce385f44a79d28663
[ "BSL-1.0" ]
null
null
null
utils/commonutils.py
rupakc/Storyweaver
9a6ec1c040a09f730cc6f32ce385f44a79d28663
[ "BSL-1.0" ]
null
null
null
utils/commonutils.py
rupakc/Storyweaver
9a6ec1c040a09f730cc6f32ce385f44a79d28663
[ "BSL-1.0" ]
null
null
null
import hashlib import shutil import requests import os from config import constants def get_sha_hash(content): sha = hashlib.sha1() sha.update(content) return sha.hexdigest() def download_image(image_url,filename_to_save): response = requests.get(image_url, stream=True) with open(filename_to_sav...
33.065217
82
0.721893
216
1,521
4.666667
0.291667
0.089286
0.051587
0.074405
0.172619
0
0
0
0
0
0
0.003247
0.190007
1,521
45
83
33.8
0.814935
0
0
0
0
0
0.004602
0
0
0
0
0
0
1
0.111111
false
0
0.138889
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
348a2b80711dded6c85af5b308b4122d1e73013c
14,635
py
Python
flask_app.py
wacovidhackathon/TPCraze
57a9485a008536f6326e29328df6af6d29045a6d
[ "MIT" ]
null
null
null
flask_app.py
wacovidhackathon/TPCraze
57a9485a008536f6326e29328df6af6d29045a6d
[ "MIT" ]
null
null
null
flask_app.py
wacovidhackathon/TPCraze
57a9485a008536f6326e29328df6af6d29045a6d
[ "MIT" ]
null
null
null
import time, os import tomtomSearch from flask_bootstrap import Bootstrap from flask import Flask, render_template, request, redirect, flash, session, jsonify, url_for from flask_wtf import FlaskForm from wtforms import StringField, BooleanField, SubmitField, IntegerField, SelectField, RadioField from wtforms.val...
38.111979
374
0.610386
1,747
14,635
4.949056
0.135661
0.047421
0.035392
0.030534
0.418228
0.366875
0.337034
0.291349
0.262202
0.236641
0
0.00808
0.238879
14,635
383
375
38.211488
0.768112
0.050427
0
0.215094
0
0
0.189451
0.001726
0
0
0
0.002611
0
1
0.045283
false
0.003774
0.037736
0
0.211321
0.015094
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
348c6299bee8c546cf7aa75e9c41522b146fab11
2,634
py
Python
pkg/codegen/internal/test/testdata/output-funcs/py_tests/pulumi_py_tests.py
sticha/pulumi
76ee1b8ccfee815eb315d9e0e0ddfaaf505c472b
[ "Apache-2.0" ]
null
null
null
pkg/codegen/internal/test/testdata/output-funcs/py_tests/pulumi_py_tests.py
sticha/pulumi
76ee1b8ccfee815eb315d9e0e0ddfaaf505c472b
[ "Apache-2.0" ]
null
null
null
pkg/codegen/internal/test/testdata/output-funcs/py_tests/pulumi_py_tests.py
sticha/pulumi
76ee1b8ccfee815eb315d9e0e0ddfaaf505c472b
[ "Apache-2.0" ]
null
null
null
# Copyright 2016-2021, Pulumi Corporation. # # 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 t...
30.988235
89
0.65186
327
2,634
5.137615
0.376147
0.057143
0.028571
0.045238
0.197619
0.197619
0.197619
0.102381
0.102381
0.04881
0
0.00813
0.252847
2,634
84
90
31.357143
0.845528
0.461655
0
0.181818
0
0
0.115323
0.020161
0
0
0
0
0
1
0.151515
false
0
0.060606
0
0.363636
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
3490cf6f7075a2aef1693d69a9521b0b995d567b
604
py
Python
unidad2/pc2/e1.py
upc-projects/cc76
0f1663cc439889b0c7e924923639e7c2e032b9b6
[ "MIT" ]
1
2020-09-21T16:56:24.000Z
2020-09-21T16:56:24.000Z
unidad2/pc2/e1.py
upc-projects/cc76
0f1663cc439889b0c7e924923639e7c2e032b9b6
[ "MIT" ]
null
null
null
unidad2/pc2/e1.py
upc-projects/cc76
0f1663cc439889b0c7e924923639e7c2e032b9b6
[ "MIT" ]
null
null
null
import math def Bellman_ford(G): n = len(G) distance = [-math.inf]*n parents = [None]* n distance[0] = 0 for _ in range(n-1): for u in range(n): for v, w in G[u]: if distance[v-1] < distance[u-1] + w: distance[v-1] = distance[u-1] + w ...
18.875
53
0.463576
89
604
3.101124
0.41573
0.021739
0.086957
0.130435
0.152174
0.152174
0.152174
0
0
0
0
0.065104
0.364238
604
31
54
19.483871
0.653646
0
0
0
0
0
0.02649
0
0
0
0
0
0
1
0.041667
false
0
0.041667
0
0.125
0.041667
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
3491846c1c297a3eafd5e93b910d0c66155d9336
1,743
py
Python
Incident-Response/Tools/dfirtrack/dfirtrack_main/exporter/markdown/markdown_check_data.py
sn0b4ll/Incident-Playbook
cf519f58fcd4255674662b3620ea97c1091c1efb
[ "MIT" ]
1
2021-07-24T17:22:50.000Z
2021-07-24T17:22:50.000Z
Incident-Response/Tools/dfirtrack/dfirtrack_main/exporter/markdown/markdown_check_data.py
sn0b4ll/Incident-Playbook
cf519f58fcd4255674662b3620ea97c1091c1efb
[ "MIT" ]
2
2022-02-28T03:40:31.000Z
2022-02-28T03:40:52.000Z
Incident-Response/Tools/dfirtrack/dfirtrack_main/exporter/markdown/markdown_check_data.py
sn0b4ll/Incident-Playbook
cf519f58fcd4255674662b3620ea97c1091c1efb
[ "MIT" ]
2
2022-02-25T08:34:51.000Z
2022-03-16T17:29:44.000Z
from django.contrib import messages from dfirtrack_config.models import SystemExporterMarkdownConfigModel from dfirtrack_main.logger.default_logger import warning_logger import os def check_config(request): """ check variables in config """ # get config model model = SystemExporterMarkdownConfigModel.obje...
44.692308
128
0.729776
217
1,743
5.677419
0.308756
0.155844
0.081169
0.048701
0.478084
0.45211
0.45211
0.45211
0.301136
0.258117
0
0
0.205967
1,743
38
129
45.868421
0.890173
0.188181
0
0.227273
0
0
0.266238
0.019986
0
0
0
0
0
1
0.045455
false
0
0.181818
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
34940ee04b10ec17bfb59f0b5abe7be0ed5efa38
4,602
py
Python
models/bert_with_conversation_context.py
RobinRojowiec/intent-recognition-in-doctor-patient-interviews
b91c7a9f3ad70edd0f39b56e3219f48d1fcf2078
[ "Apache-2.0" ]
null
null
null
models/bert_with_conversation_context.py
RobinRojowiec/intent-recognition-in-doctor-patient-interviews
b91c7a9f3ad70edd0f39b56e3219f48d1fcf2078
[ "Apache-2.0" ]
null
null
null
models/bert_with_conversation_context.py
RobinRojowiec/intent-recognition-in-doctor-patient-interviews
b91c7a9f3ad70edd0f39b56e3219f48d1fcf2078
[ "Apache-2.0" ]
1
2021-11-24T18:48:47.000Z
2021-11-24T18:48:47.000Z
import pickle import torch import torch.nn as nn from torchtext.data import Field from common.paths import ROOT_RELATIVE_DIR, MODEL_PATH from models.bert_layer import BERTLayer from probability.tables import TransitionTable from utility.model_parameter import Configuration, ModelParameter class BERTWithConversation...
38.672269
140
0.69535
517
4,602
5.909091
0.251451
0.031424
0.026187
0.028805
0.138134
0.053682
0.053682
0
0
0
0
0.005137
0.238592
4,602
118
141
39
0.866724
0.121469
0
0.136986
0
0
0.006531
0.005275
0
0
0
0
0
1
0.054795
false
0
0.109589
0
0.219178
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
349ac7bf295420ef2ab524ccb2bae107924bef1f
9,274
py
Python
docs/conf.py
myii/saltenv
2309e6759504f5326a444270c8e8bb3edf14b760
[ "Apache-2.0" ]
5
2022-03-25T17:15:04.000Z
2022-03-28T23:24:26.000Z
docs/conf.py
myii/saltenv
2309e6759504f5326a444270c8e8bb3edf14b760
[ "Apache-2.0" ]
null
null
null
docs/conf.py
myii/saltenv
2309e6759504f5326a444270c8e8bb3edf14b760
[ "Apache-2.0" ]
2
2022-03-26T06:33:30.000Z
2022-03-29T19:43:50.000Z
# # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or mo...
34.996226
133
0.667026
1,194
9,274
5.083752
0.335846
0.011862
0.016804
0.012356
0.212191
0.177595
0.148929
0.148929
0.148929
0.120593
0
0.006962
0.163683
9,274
264
134
35.128788
0.775658
0.684494
0
0.126214
0
0
0.249911
0.015709
0
0
0
0.003788
0
1
0
false
0
0.019417
0
0.019417
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
349b663f81956d7e9257fe5e42ee283abd8a9e68
2,094
py
Python
utils.py
momskidvaava/firefoxbot
1ed85e4f6594b144ceabdecb19e6e022180e639e
[ "MIT" ]
null
null
null
utils.py
momskidvaava/firefoxbot
1ed85e4f6594b144ceabdecb19e6e022180e639e
[ "MIT" ]
null
null
null
utils.py
momskidvaava/firefoxbot
1ed85e4f6594b144ceabdecb19e6e022180e639e
[ "MIT" ]
1
2021-11-25T14:05:25.000Z
2021-11-25T14:05:25.000Z
import datetime import typing import localization from configurator import Config def get_restriction_time(string: str) -> typing.Optional[int]: """ Get user restriction time in seconds :param string: string to check for multiplier. The last symbol should be one of: "m" for minutes, "h" for hours...
33.238095
118
0.668577
308
2,094
4.405844
0.392857
0.039794
0.046426
0.05969
0.078113
0
0
0
0
0
0
0.017089
0.245463
2,094
62
119
33.774194
0.841772
0.430755
0
0.16129
0
0
0.041894
0
0
0
0
0
0
1
0.096774
false
0
0.129032
0
0.483871
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
34a1337c8f6d2a9a081a7f61b09a68afa8480561
7,374
py
Python
theseus/test/test_tracer.py
pexip/os-python-theseus
3093edd7bc4af5556bce42c8602685010c695183
[ "0BSD" ]
1
2016-04-27T07:58:20.000Z
2016-04-27T07:58:20.000Z
theseus/test/test_tracer.py
pexip/os-python-theseus
3093edd7bc4af5556bce42c8602685010c695183
[ "0BSD" ]
null
null
null
theseus/test/test_tracer.py
pexip/os-python-theseus
3093edd7bc4af5556bce42c8602685010c695183
[ "0BSD" ]
null
null
null
from cStringIO import StringIO import inspect import textwrap import pytest from twisted.internet import defer, task from theseus._tracer import Function, Tracer class FakeCode(object): def __init__(self, filename='', name='', flags=0): self.co_filename = filename self.co_name = name sel...
27.210332
79
0.649173
930
7,374
4.941935
0.189247
0.022846
0.04134
0.052219
0.452132
0.401436
0.353351
0.294822
0.263925
0.238251
0
0.019757
0.231218
7,374
270
80
27.311111
0.790968
0.227421
0
0.371069
0
0
0.096524
0.008136
0
0
0
0
0.09434
1
0.144654
false
0
0.037736
0.006289
0.226415
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
34a2c4ef21ebf75e62e5e53df18db5c3d07d0336
1,665
py
Python
testdoc/conf.py
coding-to-music/sphinx-seo-meta-twitter
23ec10e32ae272d5024d2468a87813ecabd30bfa
[ "BSD-3-Clause" ]
null
null
null
testdoc/conf.py
coding-to-music/sphinx-seo-meta-twitter
23ec10e32ae272d5024d2468a87813ecabd30bfa
[ "BSD-3-Clause" ]
null
null
null
testdoc/conf.py
coding-to-music/sphinx-seo-meta-twitter
23ec10e32ae272d5024d2468a87813ecabd30bfa
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- import sys, os # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinxcontrib.seometatwi...
27.295082
80
0.713514
229
1,665
5.122271
0.606987
0.00682
0.005115
0
0
0
0
0
0
0
0
0.010745
0.161562
1,665
60
81
27.75
0.829513
0.681682
0
0
0
0
0.319444
0.097222
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
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
34a414f71bdbac2f19072c327b891b149dfefa34
6,511
py
Python
dash/lib/events/servermanagement.py
wjwwood/open-robotics-platform
c417f1e4e381cdbbe88ba9ad4dea3bdf9840d3d5
[ "MIT" ]
null
null
null
dash/lib/events/servermanagement.py
wjwwood/open-robotics-platform
c417f1e4e381cdbbe88ba9ad4dea3bdf9840d3d5
[ "MIT" ]
null
null
null
dash/lib/events/servermanagement.py
wjwwood/open-robotics-platform
c417f1e4e381cdbbe88ba9ad4dea3bdf9840d3d5
[ "MIT" ]
null
null
null
#!/usr/bin/env python -OO # encoding: utf-8 ########### # ORP - Open Robotics Platform # # Copyright (c) 2010 John Harrison, William Woodall # # 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 Softwa...
38.526627
102
0.665643
836
6,511
5.055024
0.328947
0.056791
0.052059
0.031945
0.176763
0.138192
0.121628
0.096072
0.075722
0.075722
0
0.006639
0.236523
6,511
169
103
38.526627
0.843492
0.289971
0
0.145631
0
0
0.042238
0
0
0
0
0
0
1
0.067961
false
0.019417
0.106796
0
0.184466
0.009709
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
34a4b62edf263b2fe76869067f5c2acf0eed223a
1,661
py
Python
test/uma/rp/check.py
rohe/oictest
f6f0800220befd5983b8cb34a5c984f98855d089
[ "Apache-2.0" ]
32
2015-01-02T20:15:17.000Z
2020-02-15T20:46:25.000Z
test/uma/rp/check.py
rohe/oictest
f6f0800220befd5983b8cb34a5c984f98855d089
[ "Apache-2.0" ]
8
2015-02-23T19:48:53.000Z
2016-01-20T08:24:05.000Z
test/uma/rp/check.py
rohe/oictest
f6f0800220befd5983b8cb34a5c984f98855d089
[ "Apache-2.0" ]
17
2015-01-02T20:15:22.000Z
2022-03-22T22:58:28.000Z
import inspect import sys from uma import message from rrtest.check import Error, get_protocol_response from rrtest import Unknown from oictest import check __author__ = 'roland' CLASS_CACHE = {} class MatchResourceSet(Error): """ Verify that the returned resource set is as expected """ cid = "match...
27.683333
73
0.556291
181
1,661
4.966851
0.441989
0.048943
0.042269
0.068966
0.182425
0.182425
0.182425
0.182425
0.182425
0.182425
0
0.001905
0.367851
1,661
59
74
28.152542
0.854286
0.054184
0
0.244444
0
0
0.062379
0
0
0
0
0
0.088889
1
0.044444
false
0.022222
0.133333
0
0.311111
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
34a59aa4fd323b18e2045c4173ab3b0589d86fd9
10,959
py
Python
lib/utils/general.py
yingbiaoluo/ocr_pytorch
7d9163f7d6d557d83e2f50a39a3219f330f0cf84
[ "MIT" ]
null
null
null
lib/utils/general.py
yingbiaoluo/ocr_pytorch
7d9163f7d6d557d83e2f50a39a3219f330f0cf84
[ "MIT" ]
null
null
null
lib/utils/general.py
yingbiaoluo/ocr_pytorch
7d9163f7d6d557d83e2f50a39a3219f330f0cf84
[ "MIT" ]
null
null
null
import os import cv2 import glob import logging import numpy as np from pathlib import Path import torch from torch.autograd import Variable import torch.distributed as dist class strLabelConverter(object): def __init__(self, alphabet_): """ 字符串标签转换 """ self.alphabet = alphabet_ +...
31.582133
136
0.57195
1,502
10,959
4.066578
0.225033
0.008841
0.007204
0.008841
0.106745
0.067453
0.057629
0.047806
0.047806
0.047806
0
0.019458
0.29656
10,959
346
137
31.67341
0.772863
0.203029
0
0.109091
0
0
0.036989
0.002836
0
0
0
0
0.013636
1
0.118182
false
0
0.040909
0
0.272727
0.009091
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
34a704c37474e7d90bc81f141c9416313e5a36b0
3,912
py
Python
tests/unit_tests/webhook_server_test.py
Leanny/mmpy_bot
fd16db4f1b07130fbf95568fb242387f0c7973e2
[ "MIT" ]
196
2018-05-31T23:45:34.000Z
2022-03-20T09:06:55.000Z
tests/unit_tests/webhook_server_test.py
Leanny/mmpy_bot
fd16db4f1b07130fbf95568fb242387f0c7973e2
[ "MIT" ]
216
2018-05-31T19:18:46.000Z
2022-03-21T17:09:38.000Z
tests/unit_tests/webhook_server_test.py
tgly307/mmpy_bot
0ae52d9db86ac018f3d48dd52c11e4996f549073
[ "MIT" ]
107
2018-06-01T05:12:27.000Z
2022-02-25T12:40:10.000Z
import asyncio import threading import time import pytest from aiohttp import ClientSession from mmpy_bot import Settings from mmpy_bot.threadpool import ThreadPool from mmpy_bot.webhook_server import NoResponse, WebHookServer @pytest.fixture(scope="function") def threadpool(): pool = ThreadPool(num_workers=1) ...
37.257143
85
0.648773
467
3,912
5.310493
0.325482
0.073387
0.062097
0.041935
0.223387
0.2
0.16129
0.100806
0.100806
0.054032
0
0.005214
0.264571
3,912
104
86
37.615385
0.856795
0.204755
0
0.173913
0
0
0.079288
0.013592
0
0
0
0
0.217391
1
0.072464
false
0
0.115942
0
0.231884
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
34a7b81a028bf0267f44066f902a91829b99db68
1,023
py
Python
sample/Python/kabusapi_ranking.py
HolyMartianEmpire/kabusapi
c88ee958c272fb6e1dfde9a256e138c5760ea545
[ "MIT" ]
212
2020-08-20T09:10:35.000Z
2022-03-31T08:05:21.000Z
sample/Python/kabusapi_ranking.py
U2u14/kabusapi
e41d0c3fcbcf6a1164ace9eac1a4d93685012dcb
[ "MIT" ]
496
2020-08-20T14:23:59.000Z
2022-03-31T23:59:09.000Z
sample/Python/kabusapi_ranking.py
U2u14/kabusapi
e41d0c3fcbcf6a1164ace9eac1a4d93685012dcb
[ "MIT" ]
57
2020-08-20T10:40:07.000Z
2022-03-07T06:28:01.000Z
import urllib.request import json import pprint url = 'http://localhost:18080/kabusapi/ranking' #?type=1&ExchangeDivision=ALL params = { 'type': 15 } #type - 1:値上がり率(デフォルト)2:値下がり率 3:売買高上位 4:売買代金 5:TICK回数 6:売買高急増 7:売買代金急増 8:信用売残増 9:信用売残減 10:信用買残増 11:信用買残減 12:信用高倍率 13:信用低倍率 14:業種別値上がり率 15:業種別値下がり率 params['ExchangeDivisi...
39.346154
170
0.69697
152
1,023
4.677632
0.625
0.054852
0.033755
0.064698
0.081575
0
0
0
0
0
0
0.055556
0.155425
1,023
25
171
40.92
0.767361
0.256109
0
0.173913
0
0
0.180739
0.042216
0
0
0
0
0
1
0
false
0
0.130435
0
0.130435
0.347826
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
34a95de29250fa6c98650b9aff0293a9f1a7b915
3,905
py
Python
sfa_api/zones.py
lboeman/solarforecastarbiter-api
9df598b5c638c3e36d0649e08e955b3ddc1b542d
[ "MIT" ]
7
2018-12-07T22:05:36.000Z
2020-05-03T03:20:50.000Z
sfa_api/zones.py
lboeman/solarforecastarbiter-api
9df598b5c638c3e36d0649e08e955b3ddc1b542d
[ "MIT" ]
220
2018-11-01T23:33:19.000Z
2021-12-02T21:06:38.000Z
sfa_api/zones.py
lboeman/solarforecastarbiter-api
9df598b5c638c3e36d0649e08e955b3ddc1b542d
[ "MIT" ]
3
2018-10-31T20:55:07.000Z
2021-11-10T22:51:43.000Z
from flask import Blueprint, jsonify, make_response from flask.views import MethodView from sfa_api import spec, json from sfa_api.schema import ZoneListSchema from sfa_api.utils.storage import get_storage from sfa_api.utils.request_handling import validate_latitude_longitude class AllZonesView(MethodView): def...
29.141791
79
0.557746
374
3,905
5.721925
0.315508
0.039252
0.051402
0.028037
0.277103
0.226168
0.114953
0.073832
0.073832
0.073832
0
0.016135
0.333419
3,905
133
80
29.360902
0.805993
0.321639
0
0.327869
0
0
0.203421
0
0
0
0
0
0
1
0.04918
false
0
0.098361
0
0.245902
0.032787
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
34abfc5ba2b2f363e90afe9dd53efcac19d00daf
1,228
py
Python
tests/unit/http_/test_adapters.py
matt-mercer/localstack
b69ba25e495c6ef889d33a050b216d0cd1035041
[ "Apache-2.0" ]
1
2022-03-17T07:22:23.000Z
2022-03-17T07:22:23.000Z
tests/unit/http_/test_adapters.py
matt-mercer/localstack
b69ba25e495c6ef889d33a050b216d0cd1035041
[ "Apache-2.0" ]
null
null
null
tests/unit/http_/test_adapters.py
matt-mercer/localstack
b69ba25e495c6ef889d33a050b216d0cd1035041
[ "Apache-2.0" ]
null
null
null
import requests from localstack.http import Response, Router from localstack.http.adapters import RouterListener from localstack.utils.testutil import proxy_server class TestRouterListener: def test_dispatching(self): def endpoint(request, args): resp = Response() resp.set_json({"...
33.189189
77
0.592834
137
1,228
5.262774
0.394161
0.116505
0.038835
0.133148
0.341193
0.341193
0.23301
0.23301
0
0
0
0.006904
0.292345
1,228
36
78
34.111111
0.822785
0.065147
0
0.16
0
0
0.083115
0.021872
0
0
0
0
0.32
1
0.08
false
0
0.16
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
34ac4b2375450822de672fe9deedac50930b777e
647
py
Python
setup.py
ZaneColeRiley/ArcherProject
7d9ecf4953e3ea8ce3577321449549743eada34e
[ "MIT" ]
null
null
null
setup.py
ZaneColeRiley/ArcherProject
7d9ecf4953e3ea8ce3577321449549743eada34e
[ "MIT" ]
null
null
null
setup.py
ZaneColeRiley/ArcherProject
7d9ecf4953e3ea8ce3577321449549743eada34e
[ "MIT" ]
null
null
null
from cx_Freeze import setup, Executable import sys base = None if sys.platform == "win32": base = "Win32GUI" executables = [Executable("Archer.py", base=base, icon="favicon.ico")] setup(name="Archer", version="1.0.0", options={"build_exe": {"packages": ["tkinter", "mysql", "PIL", "time",...
40.4375
264
0.638331
74
647
5.486486
0.648649
0.049261
0
0
0
0
0
0
0
0
0
0.014572
0.151468
647
15
265
43.133333
0.724954
0
0
0
0
0
0.408228
0.03481
0
0
0
0
0
1
0
false
0
0.181818
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
34ac94f8711db1745f63a3c064eaa86f3dde0de5
2,772
py
Python
WiSe-2122/Uebung-11/Gruppe-C/U11-A1.py
jonasrdt/Wirtschaftsinformatik2
30d5d896808b98664c55cb6fbb3b30a7f1904d9f
[ "MIT" ]
1
2022-03-23T09:40:39.000Z
2022-03-23T09:40:39.000Z
WiSe-2122/Uebung-11/Gruppe-C/U11-A1.py
jonasrdt/Wirtschaftsinformatik2
30d5d896808b98664c55cb6fbb3b30a7f1904d9f
[ "MIT" ]
null
null
null
WiSe-2122/Uebung-11/Gruppe-C/U11-A1.py
jonasrdt/Wirtschaftsinformatik2
30d5d896808b98664c55cb6fbb3b30a7f1904d9f
[ "MIT" ]
null
null
null
# Übung 11 - Aufgabe 1 # Mitarbeiter-Kartei # Bereitgestellt von M. Drews im Wintersemester 2021/22 # Funktionen def trenner(anzahl_striche): for i in range(anzahl_striche): print("-", end="") print() def fehler(): print("\nFehler: Bitte geben Sie nur Zahlen an, die zur Auswahl stehen.") def ...
28.875
128
0.599206
298
2,772
5.489933
0.342282
0.091687
0.069682
0.06357
0.333741
0.298289
0.199267
0.199267
0.154034
0.154034
0
0.018414
0.294733
2,772
95
129
29.178947
0.818414
0.042929
0
0.432432
0
0.013514
0.263317
0
0
0
0
0
0
1
0.094595
false
0
0
0
0.094595
0.202703
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
34af79c82e2f03fa8bacfe2aa4a2b6da7ce9ee22
20,230
py
Python
asciinode.py
bhsingleton/mason
9a14cdc758b7ef76e53d4ef9d30045834d6c17ef
[ "MIT" ]
1
2021-09-08T00:51:52.000Z
2021-09-08T00:51:52.000Z
asciinode.py
bhsingleton/mason
9a14cdc758b7ef76e53d4ef9d30045834d6c17ef
[ "MIT" ]
null
null
null
asciinode.py
bhsingleton/mason
9a14cdc758b7ef76e53d4ef9d30045834d6c17ef
[ "MIT" ]
null
null
null
import maya.api.OpenMaya as om from . import asciitreemixin, asciiattribute, asciiplug from .collections import hashtable, weakreflist, notifylist import logging logging.basicConfig() log = logging.getLogger(__name__) log.setLevel(logging.INFO) class AsciiNode(asciitreemixin.AsciiTreeMixin): """ Overload of...
23.997628
128
0.571824
2,025
20,230
5.651852
0.172346
0.016776
0.016339
0.017475
0.276365
0.235736
0.171953
0.130712
0.123547
0.112014
0
0.000598
0.338952
20,230
842
129
24.026128
0.855231
0.310677
0
0.166667
0
0.003704
0.075687
0.03189
0
0
0
0.002375
0
1
0.177778
false
0
0.014815
0
0.32963
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
34b47fa6cab25d27a526a824846c9378728893e8
5,195
py
Python
predicting_molecular_properties/nn_utils.py
ashesh-0/kaggle_competitions
58e927971b6ee67583a76a5ac821430a8d0bc31a
[ "MIT" ]
1
2019-11-20T11:33:51.000Z
2019-11-20T11:33:51.000Z
predicting_molecular_properties/nn_utils.py
ashesh-0/kaggle_competitions
58e927971b6ee67583a76a5ac821430a8d0bc31a
[ "MIT" ]
null
null
null
predicting_molecular_properties/nn_utils.py
ashesh-0/kaggle_competitions
58e927971b6ee67583a76a5ac821430a8d0bc31a
[ "MIT" ]
null
null
null
""" Utility functions for Neural network """ import pandas as pd from keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint from sklearn.preprocessing import StandardScaler from keras.layers import Dense, BatchNormalization, Input, LeakyReLU, Dropout from keras.models import Model, load_model from ke...
35.101351
112
0.638499
751
5,195
4.165113
0.250333
0.02046
0.043159
0.060422
0.384591
0.3539
0.282928
0.269821
0.269821
0.269821
0
0.028258
0.209817
5,195
147
113
35.340136
0.733739
0.133013
0
0.252525
0
0
0.136252
0.029484
0
0
0
0
0.010101
1
0.040404
false
0
0.070707
0
0.141414
0.010101
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
34b6d3e8c3f61f05d6fffeaf8b3486a12424b3e5
2,809
py
Python
fn_portal/tests/api/test_fn026.py
AdamCottrill/FishNetPortal
4e58e05f52346ac1ab46698a03d4229c74828406
[ "MIT" ]
null
null
null
fn_portal/tests/api/test_fn026.py
AdamCottrill/FishNetPortal
4e58e05f52346ac1ab46698a03d4229c74828406
[ "MIT" ]
null
null
null
fn_portal/tests/api/test_fn026.py
AdamCottrill/FishNetPortal
4e58e05f52346ac1ab46698a03d4229c74828406
[ "MIT" ]
null
null
null
"""============================================================= ~/fn_portal/fn_portal/tests/api/test_FN026.py Created: 26 May 2021 18:01:30 DESCRIPTION: This file contains a number of unit tests that verify that the api endpoint for FN026 objects works as expected: + the fn026 list returns all of the spaces...
24.215517
79
0.603062
380
2,809
4.255263
0.323684
0.037106
0.037106
0.033395
0.300557
0.277675
0.261596
0.22449
0.183673
0.183673
0
0.045643
0.227839
2,809
115
80
24.426087
0.699862
0.229975
0
0.205882
0
0
0.159774
0.035714
0
0
0
0
0.102941
1
0.044118
false
0
0.102941
0
0.147059
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
34b86bc1dbc7088b4836cb91a3edc65c0a97f48c
5,182
py
Python
mindsdb/proxies/mysql/data_types/mysql_packet.py
aykuttasil/mindsdb
2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad
[ "MIT" ]
1
2022-03-14T00:32:53.000Z
2022-03-14T00:32:53.000Z
mindsdb/proxies/mysql/data_types/mysql_packet.py
aykuttasil/mindsdb
2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad
[ "MIT" ]
null
null
null
mindsdb/proxies/mysql/data_types/mysql_packet.py
aykuttasil/mindsdb
2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad
[ "MIT" ]
null
null
null
""" ******************************************************* * Copyright (C) 2017 MindsDB Inc. <copyright@mindsdb.com> * * This file is part of MindsDB Server. * * MindsDB Server can not be copied and/or distributed without the express * permission of MindsDB Inc **************************************************...
28.31694
147
0.588383
641
5,182
4.594384
0.218409
0.057046
0.0309
0.031239
0.104244
0.037351
0.024448
0.024448
0.024448
0
0
0.010785
0.284253
5,182
182
148
28.472527
0.78323
0.154767
0
0.148148
0
0
0.033804
0
0
0
0
0
0
1
0.148148
false
0
0.046296
0.037037
0.296296
0.055556
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
34b987e6c437ee88219466fd33845cf6a6a27b4b
2,538
py
Python
py/example/gol.py
zefaxet/libant
1be1865404eea729f8512e9ccd73899fbd5b7cb2
[ "MIT" ]
4
2019-10-18T06:14:36.000Z
2020-06-01T14:28:57.000Z
py/example/gol.py
zefaxet/libant
1be1865404eea729f8512e9ccd73899fbd5b7cb2
[ "MIT" ]
null
null
null
py/example/gol.py
zefaxet/libant
1be1865404eea729f8512e9ccd73899fbd5b7cb2
[ "MIT" ]
null
null
null
import pygame from random import randint from time import sleep import data SCREEN_SIZE = 700 STAGE_SIZE = 175 # 175 is largest size without bezels for 700 x 700 window sizeof_rect = int(SCREEN_SIZE / STAGE_SIZE) bezel = int((SCREEN_SIZE - (STAGE_SIZE * sizeof_rect)) / 2) def draw_bordered_square(x, y, f...
25.897959
80
0.636722
410
2,538
3.787805
0.219512
0.024469
0.033484
0.046362
0.216999
0.05924
0.05924
0.05924
0.05924
0.05924
0
0.029622
0.228526
2,538
97
81
26.164948
0.763534
0.021671
0
0
0
0
0.010487
0
0
0
0
0
0
1
0.078947
false
0
0.052632
0.026316
0.171053
0.026316
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
34ba56f92389624b3e0ca24dcce3ebbffc885fcd
3,494
py
Python
latexnewfloat.py
takaakiaoki/sphinx_latexnewfloat
e20c4b6825484976cf41c48a634b67524024007f
[ "BSD-2-Clause" ]
null
null
null
latexnewfloat.py
takaakiaoki/sphinx_latexnewfloat
e20c4b6825484976cf41c48a634b67524024007f
[ "BSD-2-Clause" ]
null
null
null
latexnewfloat.py
takaakiaoki/sphinx_latexnewfloat
e20c4b6825484976cf41c48a634b67524024007f
[ "BSD-2-Clause" ]
null
null
null
r""" latexnewfloat.py extension for latex builder to replace literal-block environment by \captionof{LiteralBlockNewFloat}{caption_title} command. For \captionof command (in capt-of pacakge), the new environment LiteralBlockNewFloat should be configured by newfloat pagage instead of original float package. needspace ...
40.627907
92
0.709788
383
3,494
6.35248
0.4047
0.04439
0.034525
0.036169
0.076449
0.054254
0.054254
0.054254
0.054254
0.054254
0
0.003571
0.198626
3,494
85
93
41.105882
0.865357
0.522038
0
0.051282
0
0
0.130277
0.066345
0
0
0
0
0
1
0.128205
false
0
0.051282
0
0.282051
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
34baa570e639a04a3c0bb24a77d73f14fd9abb0d
9,347
py
Python
django_g11n/tools/ipranges.py
martinphellwig/django-g11n
94eb9da7d7027061873cd44356fdf3378cdb3820
[ "BSD-2-Clause" ]
null
null
null
django_g11n/tools/ipranges.py
martinphellwig/django-g11n
94eb9da7d7027061873cd44356fdf3378cdb3820
[ "BSD-2-Clause" ]
null
null
null
django_g11n/tools/ipranges.py
martinphellwig/django-g11n
94eb9da7d7027061873cd44356fdf3378cdb3820
[ "BSD-2-Clause" ]
null
null
null
""" Module to fetch and parse regional NIC delegation data """ import urllib.parse import ftplib import os from functools import lru_cache import socket import ipaddress from binascii import hexlify import tempfile TWD = tempfile.gettempdir() DELEGATES = [ # America (non-latin) "ftp://ftp.arin.net/pub/stats/a...
32.120275
80
0.609714
1,252
9,347
4.450479
0.241214
0.021536
0.007897
0.008615
0.061019
0.008615
0
0
0
0
0
0.014773
0.27581
9,347
290
81
32.231034
0.808391
0.221461
0
0.11165
0
0.019417
0.199182
0.043084
0
0
0
0
0
1
0.072816
false
0
0.038835
0
0.18932
0.106796
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
34bb5b87da16431c41b077d93418d9a992f6e4d0
6,281
py
Python
src/dh2019dataverse.py
Mish-JPFD/DAPIload
d1f2c0e9832e6731c7e98f03481712db765e9af6
[ "MIT" ]
null
null
null
src/dh2019dataverse.py
Mish-JPFD/DAPIload
d1f2c0e9832e6731c7e98f03481712db765e9af6
[ "MIT" ]
null
null
null
src/dh2019dataverse.py
Mish-JPFD/DAPIload
d1f2c0e9832e6731c7e98f03481712db765e9af6
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Author : Jacques Flores Created : October 17th,2019 About: Script for creating datasets in Dataverse. An Empty JSON file with Dataverse structure is imported and converted into a JSON dict Metadata is imported from an excel file into a pandas dataframe and written into the ...
44.864286
215
0.603566
656
6,281
5.724085
0.347561
0.009321
0.067111
0.082024
0.319308
0.216778
0.203462
0.203462
0.150732
0.150732
0
0.021623
0.285783
6,281
139
216
45.18705
0.815426
0.245343
0
0.306667
0
0.026667
0.241181
0.023374
0
0
0
0
0
1
0.026667
false
0
0.066667
0
0.093333
0.12
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