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
8dd6a32e4ca88d6bab0df8f1fd32541faef46719
206
py
Python
src/router.py
atnanasi/depression
2271c2fe4f386f760b094e2d816427db91713185
[ "MIT" ]
null
null
null
src/router.py
atnanasi/depression
2271c2fe4f386f760b094e2d816427db91713185
[ "MIT" ]
null
null
null
src/router.py
atnanasi/depression
2271c2fe4f386f760b094e2d816427db91713185
[ "MIT" ]
null
null
null
from flask import Flask, render_template, request, redirect, url_for app = Flask("depression") @app.route('/') def index(): return render_template('index.html') def run(): app.run(host='0.0.0.0')
20.6
68
0.684466
31
206
4.451613
0.612903
0.043478
0.043478
0
0
0
0
0
0
0
0
0.022599
0.140777
206
10
69
20.6
0.757062
0
0
0
0
0
0.135266
0
0
0
0
0
0
1
0.285714
false
0
0.142857
0.142857
0.571429
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
1
0
0
0
1
0
0
0
2
8deaef168523c2d4d964ee170407215214338d7a
348
py
Python
tinifycli/function_call_trace.py
aheadlead/tinify-cli
37d1008d306d3f6459e4f6d72297c335a942cc1b
[ "MIT" ]
8
2016-12-07T01:56:03.000Z
2021-01-04T16:14:54.000Z
tinifycli/function_call_trace.py
aheadlead/tinify-cli
37d1008d306d3f6459e4f6d72297c335a942cc1b
[ "MIT" ]
null
null
null
tinifycli/function_call_trace.py
aheadlead/tinify-cli
37d1008d306d3f6459e4f6d72297c335a942cc1b
[ "MIT" ]
3
2016-03-25T15:07:38.000Z
2020-01-30T19:39:06.000Z
# coding=utf-8 import logging LOGGER = logging.getLogger('tinify-cli') def tracecall(func): ''' 在日志上打出函数呼叫和返回的情况 ''' def new_func(*args, **kwargs): ''' 待返回的函数 ''' LOGGER.debug(u'进入 ' + func.__name__) ret = func(*args, **kwargs) LOGGER.debug(u'离开 ' + func.__name__) return ret return new_func
20.470588
44
0.58908
41
348
4.756098
0.585366
0.071795
0.14359
0
0
0
0
0
0
0
0
0.003876
0.258621
348
16
45
21.75
0.751938
0.112069
0
0
0
0
0.054237
0
0
0
0
0
0
1
0.222222
false
0
0.111111
0
0.555556
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
1
0
0
0
0
1
0
0
2
8dfa8859a51a4de20dcd90321d772e72693bb123
60
py
Python
python/mpl_defaults.py
willettk/rgz-analysis
11c34b1b2d0eb8b9c1c71757e6e2f771c169e993
[ "MIT" ]
3
2016-02-23T01:24:38.000Z
2017-07-09T03:34:29.000Z
python/mpl_defaults.py
willettk/rgz-analysis
11c34b1b2d0eb8b9c1c71757e6e2f771c169e993
[ "MIT" ]
30
2015-02-24T03:05:54.000Z
2016-06-27T19:36:36.000Z
python/mpl_defaults.py
willettk/rgz-analysis
11c34b1b2d0eb8b9c1c71757e6e2f771c169e993
[ "MIT" ]
3
2016-03-02T02:45:51.000Z
2021-02-23T02:01:34.000Z
# Colors blue = '#377EB8' red = '#E41A1C' green = '#4DAF4A'
12
17
0.6
7
60
5.142857
1
0
0
0
0
0
0
0
0
0
0
0.183673
0.183333
60
4
18
15
0.55102
0.1
0
0
0
0
0.403846
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
8dfc4eaebc9268bc03ee0eddaba2d84aa241fb39
449
py
Python
experiments/skipping_scheduling.py
probablytom/bpi_13_python
ef042674d3d40857237511af1fbca59ede97e75e
[ "MIT" ]
null
null
null
experiments/skipping_scheduling.py
probablytom/bpi_13_python
ef042674d3d40857237511af1fbca59ede97e75e
[ "MIT" ]
null
null
null
experiments/skipping_scheduling.py
probablytom/bpi_13_python
ef042674d3d40857237511af1fbca59ede97e75e
[ "MIT" ]
null
null
null
from run_model import run_model from domain_model import set_skip_log as skip_current_action class SkipLogAdvice(object): def should_skip(self, attr): ''' Skip all scheduling actions. :return: Bool indicating whether to activate. ''' return 'schedule' in attr.func_name def prelude(self, attr, _): if self.should_skip(attr): skip_current_action(True) run_model(SkipLogAdvice)
24.944444
60
0.67706
57
449
5.087719
0.596491
0.082759
0.117241
0
0
0
0
0
0
0
0
0
0.249443
449
17
61
26.411765
0.860534
0.167038
0
0
0
0
0.023392
0
0
0
0
0
0
1
0.222222
false
0
0.222222
0
0.666667
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
1
0
0
0
0
1
0
0
2
5c06a766369a9b4593eba13da25ccdd1a477a841
286
py
Python
src/models/arch2/train.py
josh-gree/poly2poly
174dc02c57b66bb8fad8918206d3dfd4eca4c2bc
[ "MIT" ]
null
null
null
src/models/arch2/train.py
josh-gree/poly2poly
174dc02c57b66bb8fad8918206d3dfd4eca4c2bc
[ "MIT" ]
null
null
null
src/models/arch2/train.py
josh-gree/poly2poly
174dc02c57b66bb8fad8918206d3dfd4eca4c2bc
[ "MIT" ]
null
null
null
import tensorflow as tf import numpy as np from model import poly2poly sess = tf.Session() model = poly2poly(sess, 'archpoly2poly', '../../../data/processed/train/', '../../../data/processed/test/', '../../../data/processed/val/') model.train(10)
23.833333
74
0.58042
31
286
5.354839
0.580645
0.23494
0
0
0
0
0
0
0
0
0
0.022321
0.216783
286
11
75
26
0.71875
0
0
0
0
0
0.34965
0.304196
0
0
0
0
0
1
0
false
0
0.375
0
0.375
0
0
0
0
null
1
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
1
0
0
0
0
2
5c0f62b897a10ee36da406f7f8b1e3f0ed2bfb94
1,220
py
Python
configuration.py
Berdugo1994/Tweeter-Search-Engine
ff80707d64b792288b877814d79e39c5b5ceb7ad
[ "MIT" ]
null
null
null
configuration.py
Berdugo1994/Tweeter-Search-Engine
ff80707d64b792288b877814d79e39c5b5ceb7ad
[ "MIT" ]
null
null
null
configuration.py
Berdugo1994/Tweeter-Search-Engine
ff80707d64b792288b877814d79e39c5b5ceb7ad
[ "MIT" ]
null
null
null
class ConfigClass: def __init__(self): # link to a zip file in google drive with your pretrained model self._model_url = "https://drive.google.com/file/d/14VduVhV12k1mgLJMJ0WMhtRlFqwqMKtN/view?usp=sharing" # False/True flag indicating whether the testing system will download # and overwrite the existing model files. In other words, keep this as # False until you update the model, submit with True to download # the updated model (with a valid model_url), then turn back to False # in subsequent submissions to avoid the slow downloading of the large # model file with every submission. self._download_model = True self.corpusPath = '' self.savedFileMainFolder = '' self.saveFilesWithStem = self.savedFileMainFolder + "/WithStem" self.saveFilesWithoutStem = self.savedFileMainFolder + "/WithoutStem" self.toStem = False print('Project was created successfully..') def get__corpusPath(self): return self.corpusPath def get_model_url(self): return self._model_url def get_download_model(self): return self._download_model
42.068966
111
0.672131
143
1,220
5.601399
0.531469
0.03995
0.052434
0
0
0
0
0
0
0
0
0.006682
0.263934
1,220
28
112
43.571429
0.885301
0.358197
0
0
0
0
0.1834
0
0
0
0
0
0
1
0.25
false
0
0
0.1875
0.5
0.0625
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
1
0
0
0
1
0
0
0
2
5c1fa4a08fb70af9f3ab28162fed8ed3ef080492
968
py
Python
SmartImplicitHub/Blocks/ValueMapping.py
destman0/Smart-Implicit-Hub
ff95d9e297602b71338654f726590e56b70c55a2
[ "BSD-3-Clause" ]
2
2020-02-04T08:58:25.000Z
2020-02-04T08:58:27.000Z
SmartImplicitHub/Blocks/ValueMapping.py
agentff6600/Smart-Implicit-Hub
54af115cba391b6341a43194bc3fc7720010a4a8
[ "BSD-3-Clause" ]
1
2019-12-11T08:15:35.000Z
2019-12-11T08:15:35.000Z
SmartImplicitHub/Blocks/ValueMapping.py
agentff6600/Smart-Implicit-Hub
54af115cba391b6341a43194bc3fc7720010a4a8
[ "BSD-3-Clause" ]
2
2019-12-07T14:17:38.000Z
2019-12-25T12:53:38.000Z
__copyright__ = "Copyright 2019, RISE Research Institutes of Sweden" __author__ = "Naveed Anwar Bhatti and Martina Brachmann" def maprange(a, b, s): ''' Maps an input value to an ouput value depending on a sensors' and actuators's range Parameters ---------- a : tupel (float, float) the sensors' known/given range (from, to) b : tupel (float, float) the actuators' known/given range (from, to) s : float current input value Returns ------- float : the mapped value ''' (a1, a2), (b1, b2) = a, b return b1 + ((s - a1) * (b2 - b1) / (a2 - a1)) def maprange_by_factor(a, b, s, fac): return maprange(a, b, s * fac) def maprange_by_hop_factor(a, b, s, h_f): (hops, factor) = h_f fac = 1 for hop in range(1, hops+1): factor = factor / hop fac = fac + factor return maprange_by_factor(a, b, s, fac) def maprange_by_neighbor(a, b, s, neighbor): pass
24.2
87
0.595041
143
968
3.895105
0.398601
0.025135
0.032316
0.048474
0.211849
0.136445
0.136445
0
0
0
0
0.024355
0.278926
968
40
88
24.2
0.773639
0.336777
0
0
0
0
0.156089
0
0
0
0
0
0
1
0.25
false
0.0625
0
0.0625
0.4375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
2
5c2f60231e7ea47b2e273713c720d4f68643d075
2,450
py
Python
Python/Card Game(Blackjack)/Card.py
bajwa10/Projects-Assignments
4f57dbb8d31765488e0c6689bcb343192aa7bf85
[ "Apache-2.0" ]
null
null
null
Python/Card Game(Blackjack)/Card.py
bajwa10/Projects-Assignments
4f57dbb8d31765488e0c6689bcb343192aa7bf85
[ "Apache-2.0" ]
null
null
null
Python/Card Game(Blackjack)/Card.py
bajwa10/Projects-Assignments
4f57dbb8d31765488e0c6689bcb343192aa7bf85
[ "Apache-2.0" ]
null
null
null
class Card: def __init__(self,rank,suit): # instance recevies two parameters rank and suit self.rank = rank self.suit = suit self.rank_list = ['2', '3', '4', '5', '6', '7', '8', '9', 'T', 'J', 'Q', 'K', 'A'] # a list contains all ranks self.suit_list = ['H', 'C', 'D', 'S'] # a list containing all suits assert self.rank.upper() in self.rank_list, 'Invalid Rank' # checks if the rank is in the list, not case sensitive assert self.suit.upper() in self.suit_list, 'Invalid Suit' # checks if the suit is in the list, not case sensitive def get(self): # returns rank and the suit return self.rank+self.suit def get_rank(self): # returns rank return self.rank def get_suit(self): # returns suit return self.suit def __gt__(self,other): # checks if the rank of the passed card is smaller for i in range(len(self.rank_list)): # ranks are ordered in increasing order in self.rank_list, so higher the rank, higher the index if self.rank_list[i] == self.rank: # checks for the rank in the list and stores the index rank = i if self.rank_list[i] == other.rank: rank_other = i return rank > rank_other # compares the index to determines if the passed card's rank is smaller or greater def __lt__(self,other): # checks if the rank of the passed card is greater for i in range(len(self.rank_list)): # ranks are ordered in increasing order in self.rank_list, so higher the rank, higher the index if self.rank_list[i] == self.rank: # checks for the rank in the list and stores the index rank = i if self.rank_list[i] == other.rank: rank_other = i return rank < rank_other # compares the index to determines if the passed card's rank is smaller or greater def __eq__(self,other): return self.rank == other.rank # returns if the rank of the passed card is equal def __str__(self): # converts card object to a printable form return self.rank + self.suit def convert_rank(self,rank): # converts rank accordding to its positon in the list, adds two to the index as the index counting starts from 0 in python and the ranks start from 2 for i in range(len(self.rank_list)): if self.rank_list[i] == rank: return i+2
53.26087
182
0.62898
387
2,450
3.875969
0.235142
0.117333
0.096
0.046667
0.559333
0.549333
0.516
0.48
0.445333
0.445333
0
0.006275
0.28449
2,450
45
183
54.444444
0.849401
0.42898
0
0.361111
0
0
0.029732
0
0
0
0
0
0.055556
1
0.25
false
0
0
0.138889
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
1
0
0
0
1
0
0
0
2
5c3fb60345aa61b3393bc0f38716bb6c34f8243f
140
py
Python
Inclass Program/6310545566_phawit_week5_ex1_hw.py
HelloYeew/helloyeew-lab-computer-programming-i
60b05072f32f23bab4a336b506ba7f66e52c045d
[ "MIT" ]
null
null
null
Inclass Program/6310545566_phawit_week5_ex1_hw.py
HelloYeew/helloyeew-lab-computer-programming-i
60b05072f32f23bab4a336b506ba7f66e52c045d
[ "MIT" ]
null
null
null
Inclass Program/6310545566_phawit_week5_ex1_hw.py
HelloYeew/helloyeew-lab-computer-programming-i
60b05072f32f23bab4a336b506ba7f66e52c045d
[ "MIT" ]
null
null
null
n = 1 while True: num = int(input(f"Enter value{n}: ")) if num == -99: break n += 1 print(f"You entered {n-1} numbers.")
20
41
0.521429
24
140
3.041667
0.708333
0.082192
0
0
0
0
0
0
0
0
0
0.050505
0.292857
140
7
42
20
0.686869
0
0
0
0
0
0.297872
0
0
0
0
0
0
1
0
false
0
0
0
0
0.142857
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
3082ba9fb5400dbc64c596504c5c24909a6d41c8
1,357
py
Python
run.py
Reself-C/-
ceea2b39d7da990bc1d4dd9fa39ff559d0738cac
[ "MIT" ]
2
2021-11-12T14:36:55.000Z
2022-01-19T16:40:35.000Z
run.py
Reself-C/ZJUI-ZJE-xingce
ceea2b39d7da990bc1d4dd9fa39ff559d0738cac
[ "MIT" ]
null
null
null
run.py
Reself-C/ZJUI-ZJE-xingce
ceea2b39d7da990bc1d4dd9fa39ff559d0738cac
[ "MIT" ]
null
null
null
from selenium import webdriver from configs import parse_args import time from datetime import datetime def run(args): driver = webdriver.Chrome() driver.get(args.url) time.sleep(1) # 姓名 driver.find_element_by_id('q1').clear() driver.find_element_by_id('q1').send_keys(args.name) # 学号 driver.find_element_by_id('q2').clear() driver.find_element_by_id('q2').send_keys(args.id) # 手机号 driver.find_element_by_id('q3').clear() driver.find_element_by_id('q3').send_keys(args.phone) # 单位 if args.loc == 'ZJUI': driver.find_element_by_id('q4_1').click() elif args.loc == 'ZJE': driver.find_element_by_id('q4_0').click() # 年级 if args.grade == '2018': driver.find_element_by_id('q5_0').click() elif args.grade == '2019': driver.find_element_by_id('q5_1').click() elif args.grade == '2020': driver.find_element_by_id('q5_2').click() elif args.grade == '2021': driver.find_element_by_id('q5_3').click() driver.find_element_by_id('submitbutton').click() driver.close() driver.quit() if __name__ == '__main__': args = parse_args() print(args) while True: now = datetime.now() if args.hr == now.hour and args.min == now.minute: run(args) time.sleep(15)
27.14
58
0.624908
195
1,357
4.051282
0.328205
0.164557
0.279747
0.312658
0.394937
0.368354
0
0
0
0
0
0.035407
0.229919
1,357
50
59
27.14
0.720574
0.011054
0
0
0
0
0.059088
0
0
0
0
0
0
1
0.027027
false
0
0.108108
0
0.135135
0.027027
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
30882cc81c498dc571777faaf424632c5e28545a
283
py
Python
code/speedlimit.py
kkirigaya/Kattis
29b7180aef70f51ea5b4d064204f70fc6d29d312
[ "MIT" ]
1
2021-06-05T20:52:43.000Z
2021-06-05T20:52:43.000Z
code/speedlimit.py
kkirigaya/Kattis
29b7180aef70f51ea5b4d064204f70fc6d29d312
[ "MIT" ]
null
null
null
code/speedlimit.py
kkirigaya/Kattis
29b7180aef70f51ea5b4d064204f70fc6d29d312
[ "MIT" ]
null
null
null
while True: n = int(input()) if n == -1: break last_elapsed = 0 distance = 0 for _ in range(n): s, t = map(int, input().split()) _t = t - last_elapsed distance += s * _t last_elapsed = t print(distance, "miles")
17.6875
40
0.480565
37
283
3.513514
0.567568
0.253846
0.184615
0
0
0
0
0
0
0
0
0.017442
0.392226
283
15
41
18.866667
0.738372
0
0
0
0
0
0.017668
0
0
0
0
0
0
1
0
false
0
0
0
0
0.083333
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
308eeb834b8bc915f2770e0739c00aeca7e5e5fa
1,726
py
Python
orchestrator/tests/PythonTestDriver.py
spacebel/MAJA
3e5d20bc9c744c610e608cfcf1f4c5c738d4de9e
[ "Apache-2.0" ]
57
2020-09-30T08:51:22.000Z
2021-12-19T20:28:30.000Z
orchestrator/tests/PythonTestDriver.py
spacebel/MAJA
3e5d20bc9c744c610e608cfcf1f4c5c738d4de9e
[ "Apache-2.0" ]
34
2020-09-29T21:27:22.000Z
2022-02-03T09:56:45.000Z
orchestrator/tests/PythonTestDriver.py
spacebel/MAJA
3e5d20bc9c744c610e608cfcf1f4c5c738d4de9e
[ "Apache-2.0" ]
14
2020-10-11T13:17:59.000Z
2022-03-09T15:58:19.000Z
# -*- coding: utf-8 -*- # # Copyright (C) 2020 Centre National d'Etudes Spatiales (CNES) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ ################################################################################################### o o oo oo oo o oo ,-. o o o o o o o o o \_/ o o o o o o o o {|||D o o oooooo o oooooo / \ o o o o o o o o `-^ o o o o oooo o o ################################################################################################### orchestrator.tests.plugins.test_maja_sentinel2_l1_pimage_file_reader -- shortdesc orchestrator.tests.plugins.test_maja_sentinel2_l1_pimage_file_reader is a description It defines classes_and_methods ################################################################################################### """ import sys from orchestrator.common.logger.maja_logging import configure_logger LOGGER = configure_logger(__name__) t = __import__(sys.argv[1]) argv = sys.argv[1:] t.test(argv)
35.958333
99
0.497683
199
1,726
4.18593
0.507538
0.072029
0.090036
0.110444
0.176471
0.176471
0.176471
0.176471
0.176471
0.176471
0
0.011933
0.271727
1,726
47
100
36.723404
0.650756
0.8708
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.5
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
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
2
3091f6e5bea6d41446cd759bfbe8ab5d96ecdc2d
2,775
py
Python
Turnauswertung-py3/common/models.py
naechtner/turn-events
2c71f8ceb5d6f8280c6c19a6467922a834ae0b02
[ "MIT" ]
null
null
null
Turnauswertung-py3/common/models.py
naechtner/turn-events
2c71f8ceb5d6f8280c6c19a6467922a834ae0b02
[ "MIT" ]
11
2015-06-20T11:51:10.000Z
2017-01-09T07:09:04.000Z
Turnauswertung-py3/common/models.py
naechtner/turn-events
2c71f8ceb5d6f8280c6c19a6467922a834ae0b02
[ "MIT" ]
null
null
null
from django.core.urlresolvers import reverse from django.db import models from django.utils.text import slugify from django.utils.translation import ugettext_lazy class Performance(models.Model): value = models.DecimalField( ugettext_lazy('Value'), null=False, max_digits=5, decimal_places=3, default=0.0 ) value_final = models.DecimalField( ugettext_lazy('Final Value'), null=True, blank=True, max_digits=5, decimal_places=3 ) athlete = models.ForeignKey( 'athletes.Athlete', verbose_name=ugettext_lazy('Athlete')) discipline = models.ForeignKey( 'Discipline', verbose_name=ugettext_lazy('Discipline')) class Meta: unique_together = (("athlete", "discipline"), ) def __str__(self): return "{0}, {1}".format(self.athlete, self.discipline) # old # return "{0}, {1}: {2}".format(self.athlete, self.discipline, self.value) # noqa class Discipline(models.Model): name = models.CharField(ugettext_lazy('Name'), max_length=50, null=False) slug = models.SlugField(max_length=128, blank=True) def __str__(self): return self.name def save(self, *args, **kwargs): if not self.id: self.slug = str(slugify(str(self))) return super(Discipline, self).save(*args, **kwargs) def get_absolute_url(self): return reverse('disciplines.detail', kwargs={ 'id': self.id, 'slug': self.slug }) def get_edit_url(self): return reverse('disciplines.edit', kwargs={ 'pk': self.id, 'slug': self.slug }) def get_delete_url(self): return reverse('disciplines.delete', kwargs={ 'pk': self.id, 'slug': self.slug }) class Address(models.Model): contact_name = models.CharField(ugettext_lazy('Contact name'), max_length=64) phone = models.CharField(ugettext_lazy('Contact phone'), max_length=15, null=True, blank=True) email = models.EmailField(ugettext_lazy('Contact email'), null=True, blank=True) street = models.CharField(ugettext_lazy('Street'), max_length=128) city = models.CharField(ugettext_lazy('City'), max_length=128) province = models.CharField(ugettext_lazy('Province'), max_length=128) zip_code = models.CharField(ugettext_lazy('Zip code'), max_length=10) @property def address_formatted(self): return '{0}\n{1} {2}\n{3}'.format(self.street, self.zip_code, self.city, self.province) class StreamDisciplineJoin(models.Model): position = models.IntegerField(null=True) stream = models.ForeignKey('streams.Stream') discipline = models.ForeignKey('Discipline') class Meta: ordering = ['position'] def __str__(self): return "No {0}: {1} in {2}".format(self.position, self.discipline, self.stream)
34.259259
98
0.677117
349
2,775
5.237822
0.272206
0.085339
0.088074
0.103392
0.212254
0.071116
0.044858
0
0
0
0
0.016747
0.182342
2,775
80
99
34.6875
0.788894
0.02991
0
0.090909
0
0
0.107515
0
0
0
0
0
0
1
0.145455
false
0
0.072727
0.127273
0.763636
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
1
1
0
0
2
30935f77f4084126748eae6b81917428fab915f0
24,066
py
Python
Bioinf_functions_original.py
maepz/Bioinformatic_algorithms_coding_challenges
779291a024f34ec7f6b701a04beb92bc48d55726
[ "MIT" ]
null
null
null
Bioinf_functions_original.py
maepz/Bioinformatic_algorithms_coding_challenges
779291a024f34ec7f6b701a04beb92bc48d55726
[ "MIT" ]
null
null
null
Bioinf_functions_original.py
maepz/Bioinformatic_algorithms_coding_challenges
779291a024f34ec7f6b701a04beb92bc48d55726
[ "MIT" ]
null
null
null
# coding: utf-8 # In[1]: '''PatternCount(Text, Pattern) Count the frequency on a pattern(word) in a text(sequence)''' def PatternCount(Text, Pattern): count=0 for n in range(0,(len(Text)-len(Pattern)+1)): if Text[n:n+len(Pattern)]== Pattern: count += 1 print(count) return #PatternCount('AACTGGTCACACATC','AC') #PatternCount('CGCGATACGTTACATACATGATAGACCGCGCGCGATCATATCGCGATTATC', 'CGCG') # In[3]: '''FrequentWords(Text, k) Find all most frquent words of size k in a sequence''' def FrequentWords(Text, k): FrequentPattern=list() d={} for n in range(0,(len(Text)-(k-1))): word=Text[n:n+k] if word in d: d[word] += 1 else: d[word] = 1 maxCount= max(d.values()) max_keys = [k for k in d if d[k] == maxCount] return(max_keys) #FrequentWords('ACGTTGCATGTCGCATGATGCATGAGAGCT', 4) #print ('The script took '+str(time.time()-start_time)+' s') #FrequentWords('TAAACGTGAGAGAAACGTGCTGATTACACTTGTTCGTGTGGTAT', 3) # In[52]: '''FindingFrequentWordsBySorting(Text , k)''' #------------------------------------------------ def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} if Pattern == '': return 0 symbol = Pattern[-1] Pattern= Pattern[:-1] return(4 * PatternToNumber(Pattern) + d[symbol]) #-- def NumberToPattern(Number, k): d={'A':0,'C':1,'G':2,'T':3} pattern=[] if k==1: #return d.keys()[d.values().index(Number)] return (list(d.keys())[list(d.values()).index(int(Number))]) prefixIndex = Number//4 r = Number%4 PrefixPattern = NumberToPattern(prefixIndex, (k-1)) symbol = (list(d.keys())[list(d.values()).index(r)]) return (PrefixPattern+symbol) #-- def FindingFrequentWordsBySorting(Text , k): FrequentPatterns = list() Index={} Count={} for n in range(len(Text)-(k-1)): Pattern = Text[n:n+k] Index[n] = int(PatternToNumber(Pattern)) Count[n] = 1 SortedIndex = sorted(Index.values()) for i in range(1,len(Text)-(k-1)): if SortedIndex[i] == SortedIndex[i-1]: Count[i] = (Count[i-1]) + 1 maxCount= max(Count.values()) for i in range(0,len(Text)-(k-1)): if Count[i] == maxCount: Pattern = NumberToPattern(SortedIndex[(i)], k) FrequentPatterns.append(Pattern) return FrequentPatterns #FindingFrequentWordsBySorting('ACGTTGCATGTCGCATGATGCATGAGAGCT', 4) #print ('The script took '+str(time.time()-start_time)+' s') #this script was slower, but might become faster when dealing with long sequences # In[6]: '''ReverseComplement(sequence) Find the reverse complement of a sequence''' def ReverseComplement(sequence): complement = {'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A'} reverse_complement = "".join(complement.get(base, base) for base in reversed(sequence)) return(reverse_complement); #ReverseComplement('ACGTTGCA') #ReverseComplement('TTGTGTC') # In[49]: '''PatternMatch(Text,Pattern) Finds all the positions of a pattern in a text''' def PatternMatch(Text,Pattern): output=list() for n in range(0,(len(Text)-(len(Pattern)-1))): word=Text[n:n+len(Pattern)] if word == Pattern: output.append(n) print(' '.join(map(str,output))) return; #PatternMatch('GATATATGCATATACTT','ATAT') # In[50]: '''ClumpFind(Text,k,L,t) Finds clump of at least t patterns of length k(kmers) within a window of length L from a Text(sequence)''' def ClumpFind(Text,k,L,t): from collections import defaultdict kmer_dic = defaultdict(list) suc_keys = [] for n in range(len(Text)-(k-1)): kmer_dic[Text[n:n+k]].append(n) for key in kmer_dic.keys(): if len(kmer_dic[key])>=t: index_bank = [] for index in kmer_dic[key]: index_bank.append(index) for list_index in range(0,len(index_bank)-(t-1)): if index_bank[list_index+t-1]+k-index_bank[list_index]<=L: suc_keys.append(key) break else: continue else: continue print (' '.join(map(str,suc_keys))) return; #ClumpFind('CGGACTCGACAGATGTGAAGAACGACAATGTGAAGACTCGACACGACAGAGTGAAGAGAAGAGGAAACATTGTAA',5,50,4) # In[1]: '''PatternToNumber(Pattern) Transform a pattern of DNA letters into an index number; Convert k-mers into the 4^k different integers between 0 and 4^k − 1''' #V1 def PatternToNumber1(Pattern): d={'A':0,'C':1,'G':2,'T':3} number=0 for i in range(0,len(Pattern)): number += d[Pattern[i]]*(4**(len(Pattern)-1-i)) return(number); #-------------------------------------- # V2 def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} if Pattern == '': return 0 symbol = Pattern[-1] Pattern= Pattern[:-1] return(4 * PatternToNumber(Pattern) + d[symbol]) #--- #PatternToNumber('ATC') # In[6]: ''' NumberToPattern(Number, k)''' #V2 def NumberToPattern(Number, k): d={'A':0,'C':1,'G':2,'T':3} pattern=[] if k==1: #return d.keys()[d.values().index(Number)] return (list(d.keys())[list(d.values()).index(int(Number))]) prefixIndex = Number//4 r = Number%4 PrefixPattern = NumberToPattern(prefixIndex, (k-1)) symbol = (list(d.keys())[list(d.values()).index(r)]) return (PrefixPattern+symbol) #print(NumberToPattern(5437, 8)) # In[17]: '''FrequencyArray(Text , k)''' def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} number=0 for i in range(0,len(Pattern)): number = number + d[Pattern[i]]*(4**(len(Pattern)-1-i)) return(number); #--------------------------- def FrequencyArray(Text,k): FrequencyArray={} for i in range(4**k): FrequencyArray[i]= 0 for n in range(0,len(Text)-(k-1)): Pattern = Text[n:n+k] j=PatternToNumber(Pattern) FrequencyArray[j] += 1 return(FrequencyArray.values()); #print(' '.join(map(str,(FrequencyArray('ATATATAC',2))))) # In[1]: '''Hamming Distance(p,q) We say that position i in k-mers p1 … pk and q1 … qk is a mismatch if pi ≠ qi. For example, CGAAT and CGGAC have two mismatches. The number of mismatches between strings p and q is called the Hamming distance between these strings and is denoted HammingDistance(p, q).''' def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) # In[2]: '''ApproximatePatternCount(Text,Pattern,d) is a modify version of PatternMatch that account for a max of d mismatch in patterns''' '''Our goal now is to modify our previous algorithm for the Frequent Words Problem in order to find DnaA boxes by identifying frequent k-mers, possibly with mismatches. Given strings Text and Pattern as well as an integer d, we define Countd(Text, Pattern) as the total number of occurrences of Pattern in Text with at most d mismatches. For example, Count1(AACAAGCTGATAAACATTTAAAGAG, AAAAA) = 4 because AAAAA appears four times in this string with at most one mismatch: AACAA, ATAAA, AAACA, and AAAGA. Note that two of these occurrences overlap.''' def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def ApproximatePatternCount(Text,Pattern,d): count=0 for n in range(0,(len(Text)-(len(Pattern)-1))): word=Text[n:n+len(Pattern)] if HammingDistance(Pattern,word)<=d: count +=+1 return(count) # In[3]: '''ImmediateNeighbors(Pattern) generate the 1-neigborhood of Pattern''' def ImmediateNeighbors(Pattern): Neighborhood =list() nucl='ATCG' for i in range(0,len(Pattern)): symbol = Pattern[i] for n in nucl: if Pattern[i]== n: continue else: Neighbor = Pattern.replace(Pattern[i], n) Neighborhood.append(Neighbor) return(Neighborhood) # In[4]: '''Neighbors(Pattern, d) Find all the near-patterns for which the haming distance with pattern is <= d ''' #-------------------------------------------------- def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def Neighbors(Pattern, d): if d == 0: Neighborhood =(str(Pattern)) return Neighborhood if len(Pattern) == 1: Neighborhood=['A','C','G','T'] return Neighborhood nucl=['A','C','G','T'] Neighborhood=list() SuffixNeighbors = Neighbors((Pattern[1:]), d) for Text in SuffixNeighbors: if HammingDistance((Pattern[1:]), Text) < d: for n in nucl: Neighborhood.append(str(n + Text)) else: Neighborhood.append(str(Pattern[0]+ Text)) return Neighborhood # In[5]: '''FrequentWordsWithMismatches(Text, k, d)''' #-------------------------------------- def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def Neighbors(Pattern, d): if d == 0: Neighborhood =(str(Pattern)) return Neighborhood if len(Pattern) == 1: Neighborhood=['A','C','G','T'] return Neighborhood nucl=['A','C','G','T'] Neighborhood=list() SuffixNeighbors = Neighbors((Pattern[1:]), d) for Text in SuffixNeighbors: if HammingDistance((Pattern[1:]), Text) < d: for n in nucl: Neighborhood.append(str(n + Text)) else: Neighborhood.append(str(Pattern[0]+ Text)) return Neighborhood #-- def FrequentWordsWithMismatches(Text, k, d): dico={} for n in range(0,(len(Text)-(k-1))): Neighborhood = Neighbors(Text[n:n+k], d) for word in Neighborhood: if word in dico.keys(): dico[word]+=1 else: dico[word]= 1 max_value = max(dico.values()) max_keys = [k for k in dico if dico[k] == max_value] return(max_keys) # In[6]: def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def ApproximatePatternMatch(Text,Pattern,d): posi=list() for n in range(0,(len(Text)-(len(Pattern)-1))): word=Text[n:n+len(Pattern)] if HammingDistance(Pattern,word)<=d: posi.append(n) return(posi) # In[7]: '''MOTIFENUMERATION(Dna, k, d) A brute force algorithm for motif finding''' def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def Neighbors(Pattern, d): if d == 0: Neighborhood =(str(Pattern)) return Neighborhood if len(Pattern) == 1: Neighborhood=['A','C','G','T'] return Neighborhood nucl=['A','C','G','T'] Neighborhood=list() SuffixNeighbors = Neighbors((Pattern[1:]), d) for Text in SuffixNeighbors: if HammingDistance((Pattern[1:]), Text) < d: for n in nucl: Neighborhood.append(str(n + Text)) else: Neighborhood.append(str(Pattern[0]+ Text)) return Neighborhood #-- def MOTIFENUMERATION(Dna, k, d): i=1 p=list() while i<len(lines): list_i=list() for n in range(len(lines[i])-k+1): Neigh=Neighbors(lines[i][n:n+k],d) for word in Neigh: list_i.append(word) p.append(list_i) i=i+1 return(set.intersection(*map(set, p))) # In[8]: '''d(Pattern, Dna) the sum of distances between Pattern and all strings in Dna''' def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def d(Pattern, Dna): score=0 k=len(Pattern) for i in range(0,len(Dna)): Hamdist={} minDist={} seq=Dna[i] for n in range(0,len(seq)-(k-1)): Hamdist[seq[n:n+k]]=HammingDistance(Pattern,seq[n:n+k]) minimum=int(min(Hamdist.values())) score+=minimum return(score) # In[9]: '''MEDIANSTRING(Dna, k) A k-mer Pattern that minimizes d(Pattern, Dna) among all k-mers Pattern.''' #-- def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def NumberToPattern(Number, k): d={'A':0,'C':1,'G':2,'T':3} pattern=[] if k==1: #return d.keys()[d.values().index(Number)] return (list(d.keys())[list(d.values()).index(int(Number))]) prefixIndex = Number//4 r = Number%4 PrefixPattern = NumberToPattern(prefixIndex, (k-1)) symbol = (list(d.keys())[list(d.values()).index(r)]) return (PrefixPattern+symbol) #-- def d(Pattern, Dna): score=0 k=len(Pattern) for i in range(0,len(Dna)): Hamdist={} minDist={} seq=Dna[i] for n in range(0,len(seq)-(k-1)): Hamdist[seq[n:n+k]]=HammingDistance(Pattern,seq[n:n+k]) minimum=int(min(Hamdist.values())) score+=minimum return(score) #-- def MEDIANSTRING(Dna, k): distance= float('inf') kmer_pattern=list() Median=list() for n in range(4**k): kmer_pattern.append(NumberToPattern(n, k)) for Pattern in kmer_pattern: #if distance > d(Pattern, Dna): if 0 == d(Pattern, Dna): print distance Median.append(Pattern) return(Median) # In[10]: '''Profile_most(Text,k,Profile) Profile-most Probable k-mer: a k-mer that was most likely to have been generated by Profile among all k-mers in Text''' from numpy import * #-- def PatternToNumber(seq): d={'A':0,'C':1,'G':2,'T':3} number=0 revseq=seq[::-1] for i in range(len(revseq)): number += d[revseq[i]]*(4**i) return(number) #-- def Profile_most(Text,k,Profile): max_score=0 most_probable_kmer=Text[0:0+k] for n in range(0,len(Text)-(k-1)): kmer=Text[n:n+k] score=1 for i in range(0,len(kmer)): probaN=Profile[PatternToNumber(kmer[i])][i] return probaN score *= probaN return score if score>max_score: max_score=score most_probable_kmer=kmer return(most_probable_kmer) # In[11]: '''MakeProfile(Motif_list) Make profile matrix from a list of motifs''' #V1: Without pseudo counts, 0 probability possible from numpy import * import numpy as np def MakeProfileRaw(Motif_list): k=len(Motif_list[0]) matrix_occ = np.zeros((4,k)) for i in range(len(Motif_list)): for n in range(len(Motif_list[i])): matrix_occ[(PatternToNumber(Motif_list[i][n])),n]+=1 Profile_matrix= matrix_occ / matrix_occ.sum(axis=0, dtype='float') return Profile_matrix ##V2: With pseudo counts, get rid of 0 probability def MakeProfile(Motif_list): k=len(Motif_list[0]) matrix_occ = np.zeros((4,k)) matrix_occ +=1 for i in range(len(Motif_list)): for n in range(len(Motif_list[i])): matrix_occ[(PatternToNumber(Motif_list[i][n])),n]+=1 Profile_matrix= matrix_occ / matrix_occ.sum(axis=0, dtype='float') #return matrix_occ.sum(axis=0, dtype='float') return Profile_matrix # In[12]: '''Consensus(Profile) output consensus sequence from a profile matrix''' import numpy as np def Consensus(Profile): maxarg= list(Profile.argmax(0)) Cons='' for posi in maxarg: Cons+=NumberToPattern(int(posi), 1) return Cons # In[16]: def HammingDistance(p,q): HamDi=int(0) for i in range(len(p)): if p[i]==q[i]: continue else: HamDi+=+1 return(HamDi) #-- def NumberToPattern(Number, k): d={'A':0,'C':1,'G':2,'T':3} pattern=[] if k==1: #return d.keys()[d.values().index(Number)] return (list(d.keys())[list(d.values()).index(int(Number))]) prefixIndex = Number//4 r = Number%4 PrefixPattern = NumberToPattern(prefixIndex, (k-1)) symbol = (list(d.keys())[list(d.values()).index(r)]) return (PrefixPattern+symbol) #-- def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} if Pattern == '': return 0 symbol = Pattern[-1] Pattern= Pattern[:-1] return(4 * PatternToNumber(Pattern) + d[symbol]) def score(motifs): # change to motifs as list of columns instead of list of rows matrix = [[] for k in range(len(motifs[0]))] for i in range(len(motifs[0])): for j in range(len(motifs)): matrix[i].append(motifs[j][i]) score = 0 for col in range(len(matrix)): # count letters in a column, delete most common letter, sum remaining c = Counter(matrix[col]) del c[c.most_common(1)[0][0]] score += sum(c.values()) return score def Pr(kmer,Profile): score=1 for n in range(len(kmer)): score *= Profile[n][kmer[n]] return score def MakeProfile(motifs): # construct profile-matrix (each column as an dict) from count-matrix k=len(motifs[0]) counter = [{"A":1,"C":1,"G":1,"T":1} for x in range(k)] # start with pseudocounts for i in range(k): for j in range(len(motifs)): letter = motifs[j][i] counter[i].update({letter:1+counter[i][letter]}) for d in counter: for key in d: d[key] /= (len(motifs)+4) # +4 due to pseudocounts return counter #-- def Profile_most(Text,k,Profile): max_score=0 most_probable_kmer=Text[0:0+k] for n in range(0,len(Text)-(k-1)): kmer=Text[n:n+k] score=1 for i in range(0,len(kmer)): probaN=Profile[PatternToNumber(kmer[i])][i] score *= probaN if score>max_score: max_score=score most_probable_kmer=kmer else: continue return(most_probable_kmer) #-- def Consensus(Profile): maxarg= list(Profile.argmax(0)) Cons='' for posi in maxarg: Cons+=NumberToPattern(int(posi), 1) return Cons #-- def d(Pattern, Dna): score=0 k=len(Pattern) for i in range(0,len(Dna)): Hamdist={} minDist={} seq=Dna[i] for n in range(0,len(seq)-(k-1)): Hamdist[seq[n:n+k]]=HammingDistance(Pattern,seq[n:n+k]) minimum=int(min(Hamdist.values())) score+=minimum return(score) #-- def GREEDYMOTIFSEARCH(Dna,k,t): #starting conditions: BestMotifs_list=list() for string in range(len(Dna)): BestMotifs_list.append(Dna[string][0:0+k]) #list all kmers in first string kmer_1st_string=list() for n in range(len(Dna[0])-(k-1)): Motif=Dna[0][n:n+k] kmer_1st_string.append(Motif) #- for motif in kmer_1st_string: Motif_list=list() Motif_list.append(motif) for i in range(1,len(Dna)): Text=Dna[i] Profile=array(MakeProfile(Motif_list)) new_motif=Profile_most(Text,k,Profile) Motif_list.append(new_motif) Motif_score= score(Motif_list) if Motif_score < score(BestMotifs_list): BestMotifs_list=Motif_list return(BestMotifs_list) # In[17]: def RANDOMIZEDMOTIFSEARCH(Dna, k, t): Motifs=list() for n in range(len(Dna)): rdm_posi=random.randint(0, (len(Dna[n])-(k))) Motifs.append(Dna[n][rdm_posi:rdm_posi+k]) BestMotifs=Motifs #print BestMotifs while True: Profile=MakeProfile(Motifs) Motifs=list() for n in range(len(Dna)): Motifs.append(Profile_most(Dna[n],k,Profile)) Motif_score= d(Consensus(MakeProfile(Motifs)), Motifs) if Motif_score < d(Consensus(MakeProfile(BestMotifs)), BestMotifs): BestMotifs=Motifs else: return BestMotifs,Motif_score # In[18]: '''Random(array) this random number generator, denoted Random(array), where array=(p1, …, pn), models an n-sided biased die and returns integer i with probability pi''' def Pr(kmer,Profile): score=1 for i in range(0,len(kmer)): probaN=Profile[PatternToNumber(kmer[i])][i] score *= probaN return score def MakeProfile(Motif_list): k=len(Motif_list[0]) matrix_occ = np.zeros((4,k)) matrix_occ +=1 for i in range(len(Motif_list)): for n in range(len(Motif_list[i])): matrix_occ[(PatternToNumber(Motif_list[i][n])),n]+=1 Profile_matrix= matrix_occ / matrix_occ.sum(axis=0, dtype='float') #return matrix_occ.sum(axis=0, dtype='float') return Profile_matrix def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} if Pattern == '': return 0 symbol = Pattern[-1] Pattern= Pattern[:-1] return(4 * PatternToNumber(Pattern) + d[symbol]) def Random(Motif_list,Profile): Array=list() for motif in Motif_list: Array.append(Pr(motif,Profile)) PArray=[v/sum(Array) for v in Array] i = np.random.choice( len(PArray), p=PArray) return i # In[19]: def score(motifs): # change to motifs as list of columns instead of list of rows matrix = [[] for k in range(len(motifs[0]))] for i in range(len(motifs[0])): for j in range(len(motifs)): matrix[i].append(motifs[j][i]) score = 0 for col in range(len(matrix)): # count letters in a column, delete most common letter, sum remaining c = Counter(matrix[col]) del c[c.most_common(1)[0][0]] score += sum(c.values()) return score def Pr(kmer,Profile): score=1 for i in range(0,len(kmer)): probaN=Profile[PatternToNumber(kmer[i])][i] score *= probaN return score def MakeProfile(Motif_list): k=len(Motif_list[0]) matrix_occ = np.zeros((4,k)) matrix_occ +=1 for i in range(len(Motif_list)): for n in range(len(Motif_list[i])): matrix_occ[(PatternToNumber(Motif_list[i][n])),n]+=1 Profile_matrix= matrix_occ / matrix_occ.sum(axis=0, dtype='float') #return matrix_occ.sum(axis=0, dtype='float') return Profile_matrix def PatternToNumber(Pattern): d={'A':0,'C':1,'G':2,'T':3} if Pattern == '': return 0 symbol = Pattern[-1] Pattern= Pattern[:-1] return(4 * PatternToNumber(Pattern) + d[symbol]) def Random(Motif_list,Profile): Array=list() for motif in Motif_list: Array.append(Pr(motif,Profile)) PArray=[v/sum(Array) for v in Array] i = np.random.choice( len(PArray), p=PArray) return i def GIBBSSAMPLER(Dna, k, t, N): #dic for faster indexing of kmers dic={} for t in range(len(Dna)): dic[t]=list() for n in range(0,len(Dna[t])-(k-1)): dic[t].append(Dna[t][n:n+k]) #get first set of Motifs Motifs=list() for n in range(len(Dna)): rdm_posi=random.randint(0, (len(Dna[n])-(k))) Motifs.append(Dna[n][rdm_posi:rdm_posi+k]) BestMotifs=Motifs[:] BestScore=score(BestMotifs) ### x=0 while x < N: i=(Random(Motifs,MakeProfile(Motifs))) Motifs.remove(Motifs[i]) Profile_sans=MakeProfile(Motifs) ii=Random(dic[i],Profile_sans) Motifs_i= dic[i][ii] Motifs.insert(i,Motifs_i) sM=score(Motifs) if sM < BestScore: BestScore=sM BestMotifs=Motifs[:] #print BestMotifs, sM,BestScore, x x+=1 else: x+=1 #print BestMotifs, score(BestMotifs),x return BestMotifs, score(BestMotifs) # In[ ]:
26.504405
113
0.585058
3,334
24,066
4.182663
0.105579
0.034134
0.026533
0.024453
0.563786
0.545572
0.539333
0.528935
0.52664
0.516673
0
0.018576
0.255132
24,066
907
114
26.533627
0.75873
0.093701
0
0.708819
0
0
0.005929
0
0
0
0
0
0
0
null
null
0
0.008319
null
null
0.006656
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
309df072b2697876ca53234ff588a68e49d6b19e
9,195
py
Python
sdk/python/pulumi_proxmox/permission/user.py
meyskens/pulumi-proxmox
bf48570690350be68fa554e1cec376212eb449ab
[ "ECL-2.0", "Apache-2.0" ]
16
2021-01-11T11:26:19.000Z
2022-01-23T02:32:34.000Z
sdk/python/pulumi_proxmox/permission/user.py
meyskens/pulumi-proxmox
bf48570690350be68fa554e1cec376212eb449ab
[ "ECL-2.0", "Apache-2.0" ]
2
2021-01-29T08:15:46.000Z
2021-10-17T16:33:19.000Z
sdk/python/pulumi_proxmox/permission/user.py
meyskens/pulumi-proxmox
bf48570690350be68fa554e1cec376212eb449ab
[ "ECL-2.0", "Apache-2.0" ]
4
2021-04-06T00:36:05.000Z
2021-12-16T14:25:07.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilities, _tables from . import outputs from ._inputs import * __all__ = ['User'] class User(pulumi.CustomResource): def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, acls: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserAclArgs']]]]] = None, comment: Optional[pulumi.Input[str]] = None, email: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expiration_date: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, groups: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, keys: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, user_id: Optional[pulumi.Input[str]] = None, __props__=None, __name__=None, __opts__=None): """ Create a User resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserAclArgs']]]] acls: The access control list :param pulumi.Input[str] comment: The user comment :param pulumi.Input[str] email: The user's email address :param pulumi.Input[bool] enabled: Whether the user account is enabled :param pulumi.Input[str] expiration_date: The user account's expiration date :param pulumi.Input[str] first_name: The user's first name :param pulumi.Input[Sequence[pulumi.Input[str]]] groups: The user's groups :param pulumi.Input[str] keys: The user's keys :param pulumi.Input[str] last_name: The user's last name :param pulumi.Input[str] password: The user's password :param pulumi.Input[str] user_id: The user id """ if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = dict() __props__['acls'] = acls __props__['comment'] = comment __props__['email'] = email __props__['enabled'] = enabled __props__['expiration_date'] = expiration_date __props__['first_name'] = first_name __props__['groups'] = groups __props__['keys'] = keys __props__['last_name'] = last_name if password is None: raise TypeError("Missing required property 'password'") __props__['password'] = password if user_id is None: raise TypeError("Missing required property 'user_id'") __props__['user_id'] = user_id super(User, __self__).__init__( 'proxmox:Permission/user:User', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, acls: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserAclArgs']]]]] = None, comment: Optional[pulumi.Input[str]] = None, email: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expiration_date: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, groups: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, keys: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, password: Optional[pulumi.Input[str]] = None, user_id: Optional[pulumi.Input[str]] = None) -> 'User': """ Get an existing User resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserAclArgs']]]] acls: The access control list :param pulumi.Input[str] comment: The user comment :param pulumi.Input[str] email: The user's email address :param pulumi.Input[bool] enabled: Whether the user account is enabled :param pulumi.Input[str] expiration_date: The user account's expiration date :param pulumi.Input[str] first_name: The user's first name :param pulumi.Input[Sequence[pulumi.Input[str]]] groups: The user's groups :param pulumi.Input[str] keys: The user's keys :param pulumi.Input[str] last_name: The user's last name :param pulumi.Input[str] password: The user's password :param pulumi.Input[str] user_id: The user id """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = dict() __props__["acls"] = acls __props__["comment"] = comment __props__["email"] = email __props__["enabled"] = enabled __props__["expiration_date"] = expiration_date __props__["first_name"] = first_name __props__["groups"] = groups __props__["keys"] = keys __props__["last_name"] = last_name __props__["password"] = password __props__["user_id"] = user_id return User(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def acls(self) -> pulumi.Output[Optional[Sequence['outputs.UserAcl']]]: """ The access control list """ return pulumi.get(self, "acls") @property @pulumi.getter def comment(self) -> pulumi.Output[Optional[str]]: """ The user comment """ return pulumi.get(self, "comment") @property @pulumi.getter def email(self) -> pulumi.Output[Optional[str]]: """ The user's email address """ return pulumi.get(self, "email") @property @pulumi.getter def enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether the user account is enabled """ return pulumi.get(self, "enabled") @property @pulumi.getter(name="expirationDate") def expiration_date(self) -> pulumi.Output[Optional[str]]: """ The user account's expiration date """ return pulumi.get(self, "expiration_date") @property @pulumi.getter(name="firstName") def first_name(self) -> pulumi.Output[Optional[str]]: """ The user's first name """ return pulumi.get(self, "first_name") @property @pulumi.getter def groups(self) -> pulumi.Output[Optional[Sequence[str]]]: """ The user's groups """ return pulumi.get(self, "groups") @property @pulumi.getter def keys(self) -> pulumi.Output[Optional[str]]: """ The user's keys """ return pulumi.get(self, "keys") @property @pulumi.getter(name="lastName") def last_name(self) -> pulumi.Output[Optional[str]]: """ The user's last name """ return pulumi.get(self, "last_name") @property @pulumi.getter def password(self) -> pulumi.Output[str]: """ The user's password """ return pulumi.get(self, "password") @property @pulumi.getter(name="userId") def user_id(self) -> pulumi.Output[str]: """ The user id """ return pulumi.get(self, "user_id") def translate_output_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
39.463519
134
0.613486
1,066
9,195
5.066604
0.136023
0.10998
0.0985
0.059989
0.617108
0.557675
0.529532
0.501018
0.475468
0.461026
0
0.00015
0.27689
9,195
232
135
39.633621
0.812152
0.25503
0
0.302158
1
0
0.107544
0.004428
0
0
0
0
0
1
0.107914
false
0.064748
0.05036
0.014388
0.266187
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
1
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
30b1e0908004387605a880b3d3e65a30296f4db0
4,789
py
Python
FluentPython/sequence_hacking_hashing_slicing/vector.py
xu6148152/Binea_Python_Project
d943eb5f4685d08f080b372dcf1a7cbd5d63efed
[ "MIT" ]
null
null
null
FluentPython/sequence_hacking_hashing_slicing/vector.py
xu6148152/Binea_Python_Project
d943eb5f4685d08f080b372dcf1a7cbd5d63efed
[ "MIT" ]
null
null
null
FluentPython/sequence_hacking_hashing_slicing/vector.py
xu6148152/Binea_Python_Project
d943eb5f4685d08f080b372dcf1a7cbd5d63efed
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- encoding: utf-8 -*- import numbers import operator from array import array import reprlib import math import functools import itertools class Vector: typecode = 'd' def __init__(self, components): self._components = array(self.typecode, components) def __iter__(self): return iter(self._components) def __repr__(self): components = reprlib.repr(self._components) components = components[components.find('['):-1] return 'Vector({})'.format(components) def __str__(self): return str(tuple(self)) def __bytes__(self): return bytes([ord(self.typecode)]) + bytes(self._components) def __eq__(self, other): if isinstance(other, Vector): return len(self) == len(other) and all(a == b for a, b in zip(self, other)) return NotImplemented def __hash__(self): hashes = map(hash, self._components) return functools.reduce(operator.xor, hashes, 0) def __abs__(self): return math.sqrt(sum(x * x for x in self)) def __bool__(self): return bool(abs(self)) def __len__(self): return len(self._components) def __getitem__(self, item): cls = type(self) if isinstance(item, slice): return cls(self._components[item]) elif isinstance(item, numbers.Integral): return self._components[item] else: msg = '{cls.__name__} indices must be integers' raise TypeError(msg.format(cls=cls)) @classmethod def frombytes(cls, octets): typecode = chr(octets[0]) memv = memoryview(octets[1:]).cast(typecode) return cls(memv) shortcut_names = 'xyzt' def __getattr__(self, name): cls = type(self) if len(name) == 1: pos = cls.shortcut_names.find(name) if 0 <= pos < len(self._components): return self._components[pos] msg = '{.__name__!r} object has no attribute {!r}' raise AttributeError(msg.format(cls, name)) def __setattr__(self, name, value): cls = type(self) if len(name) == 1: if name in cls.shortcut_names: error = 'readonly attribute {attr_name!r}' elif name.islower(): error = "can't set attributes 'a' to 'z' in {cls_name!r}" else: error = '' if error: msg = error.format(cls_name=cls.__name__, attr_name=name) raise AttributeError(msg) super().__setattr__(name, value) def angle(self, n): r = math.sqrt(sum(x * x for x in self[n:])) a = math.atan2(r, self[n - 1]) if (n == len(self) - 1) and self[-1] < 0: return math.pi * 2 - a else: return a def angles(self): return (self.angle(n) for n in range(1, len(self))) def __format__(self, fmt_spec): if fmt_spec.endswith('h'): fmt_spec = fmt_spec[:-1] coords = itertools.chain([abs(self), self.angles()]) outer_fmt = '<{}>' else: coords = self outer_fmt = '({})' components = (format(c, fmt_spec) for c in coords) return outer_fmt.format(', '.join(components)) def __pos__(self): return Vector(self) def __add__(self, other): try: pairs = itertools.zip_longest(self, other, fillvalue=0.0) return Vector(a + b for a, b in pairs) except TypeError: return NotImplemented def __radd__(self, other): return self + other def __mul__(self, scalar): if isinstance(scalar, numbers.Real): return Vector(n * scalar for n in self) return NotImplemented def __rmul__(self, other): return self * other def __matmul__(self, other): try: return sum(a * b for a, b in zip(self, other)) except TypeError: return NotImplemented def __rmatmul__(self, other): return self @ other def __ne__(self, other): eq_result = self == other if eq_result is NotImplemented: return NotImplemented return not eq_result def test_vector(): vector = Vector(range(10)) print(vector) def test_vector_len(): vector = Vector(range(10)) print(len(vector)) print(vector[-1]) def test_vector_slice(): v7 = Vector(range(7)) print(v7[1:4]) print(v7[1, 2]) def test_vector_getattr(): v = Vector(range(5)) print(v.f) def test_reduce(): print(functools.reduce(lambda a, b: a * b, range(1, 6))) print(functools.reduce(operator.xor, range(6))) if __name__ == '__main__': test_reduce()
25.886486
87
0.577365
593
4,789
4.409781
0.252951
0.048184
0.022945
0.006883
0.131549
0.08413
0.049713
0.033652
0.033652
0
0
0.010798
0.303821
4,789
184
88
26.027174
0.773545
0.009397
0
0.147059
0
0
0.041122
0
0
0
0
0
0
1
0.220588
false
0
0.051471
0.080882
0.514706
0.058824
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
1
0
0
0
0
1
0
0
2
30b698a04928c9d0d6a7acb52ec5c668e5d79774
221
py
Python
tools/yaml_config.py
brahim17/bud
0cf3b37ca9e8e37c865c170d3b621ae6e0763672
[ "Apache-2.0" ]
null
null
null
tools/yaml_config.py
brahim17/bud
0cf3b37ca9e8e37c865c170d3b621ae6e0763672
[ "Apache-2.0" ]
null
null
null
tools/yaml_config.py
brahim17/bud
0cf3b37ca9e8e37c865c170d3b621ae6e0763672
[ "Apache-2.0" ]
null
null
null
import confuse as cf def configure(): config = cf.Configuration('bud', __name__) config.set_file('./config.yaml') return config def get_path(): cfg = configure() return str(cfg["directory_path"])
15.785714
46
0.660633
28
221
4.964286
0.678571
0
0
0
0
0
0
0
0
0
0
0
0.20362
221
13
47
17
0.789773
0
0
0
0
0
0.135747
0
0
0
0
0
0
1
0.25
false
0
0.125
0
0.625
0
1
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
1
0
0
0
0
0
0
0
2
30b774c404d4aa647c6f34fe917bdd0a3aba75cc
151
py
Python
supersql/constants/pg.py
rayattack/supersql
0a592e7f303ac18b8df7bebac226b26f38f6d192
[ "MIT" ]
2
2019-11-04T00:19:30.000Z
2020-10-04T01:24:04.000Z
supersql/constants/pg.py
tersoo/supersql
4d20bd72a9de50e485ce79285c355a1a7ac04b55
[ "MIT" ]
2
2021-03-31T14:07:04.000Z
2021-03-31T14:07:20.000Z
supersql/constants/pg.py
tersoo/supersql
4d20bd72a9de50e485ce79285c355a1a7ac04b55
[ "MIT" ]
2
2021-03-30T21:40:14.000Z
2022-03-17T20:52:25.000Z
POSTGRES_DATA_TYPES = { "int2": "smallint", "integer": "integer", "uuid": "uuid", "string": "varchar", "timestamp": "timestamp", }
18.875
29
0.556291
13
151
6.307692
0.769231
0
0
0
0
0
0
0
0
0
0
0.008547
0.225166
151
7
30
21.571429
0.692308
0
0
0
0
0
0.430464
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
30ba7e16134a362402987db1362849a2eef289bd
448
py
Python
server/data/sql/services.py
Neoteroi/Torino
9bac21735ed4e6bdaed6e8b20e2c6b33d76f938c
[ "MIT" ]
7
2021-12-12T09:14:50.000Z
2022-02-06T15:59:57.000Z
server/data/sql/services.py
Neoteroi/Torino
9bac21735ed4e6bdaed6e8b20e2c6b33d76f938c
[ "MIT" ]
5
2021-12-13T20:27:13.000Z
2021-12-14T08:31:11.000Z
server/data/sql/services.py
Neoteroi/Torino
9bac21735ed4e6bdaed6e8b20e2c6b33d76f938c
[ "MIT" ]
1
2021-12-31T18:52:41.000Z
2021-12-31T18:52:41.000Z
from rodi import Container from domain.albums import AlbumsDataProvider from domain.vfs import FileSystemDataProvider from .albums import SQLAlbumsDataProvider from .vfs import SQLFileSystemDataProvider def register_sql_services(container: Container) -> None: # services **MUST** be scoped here! container.add_scoped(AlbumsDataProvider, SQLAlbumsDataProvider) container.add_scoped(FileSystemDataProvider, SQLFileSystemDataProvider)
32
75
0.832589
44
448
8.386364
0.477273
0.054201
0.097561
0
0
0
0
0
0
0
0
0
0.113839
448
13
76
34.461538
0.929471
0.073661
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0.625
0
0.75
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
1
0
1
0
0
2
30c4748f07e9270f04e320147d7d57f812021cf1
1,545
py
Python
diabetes.py
aryanjalla/diebetesPredictor
28539051f62eff8a3799392d0f35aa6794f8c4f6
[ "MIT" ]
null
null
null
diabetes.py
aryanjalla/diebetesPredictor
28539051f62eff8a3799392d0f35aa6794f8c4f6
[ "MIT" ]
null
null
null
diabetes.py
aryanjalla/diebetesPredictor
28539051f62eff8a3799392d0f35aa6794f8c4f6
[ "MIT" ]
null
null
null
#lmaoo import matplotlib.pyplot as plt import pandas as pd import pylab as pl import numpy as np import quandl af = pd.read_csv('C://Users//Aryan Jalla//OneDrive//Documents//diabetes_csv.csv') af.replace('tested_negative',0) af.replace('tested_positive',1) # af = pd.read_csv("C://Users//Aryan Jalla//OneDrive//Documents//DiabetesAtlasData.csv") # df = quandl.get('ODA/IND_LP') # df = af.iloc[::-1] print(af.head()) # af.hist() # plt.show() # plt.scatter(cdf.FUELCONSUMPTION_COMB, cdf.CO2EMISSIONS, color='blue') # plt.xlabel("FUELCONSUMPTION_COMB") # plt.ylabel("Emission") # plt.show() # plt.scatter(cdf.ENGINESIZE, cdf.CO2EMISSIONS, color='blue') # plt.xlabel("Engine size") # plt.ylabel("Emission") # plt.show() # msk = np.random.rand(len(af)) < 0.8 # train = af[msk] # test = af[~msk] # # LInear regression wuhu # from sklearn import linear_model # pavan = linear_model.LinearRegression() # x = np.asanyarray(train[['preg','plas','skin','insu','mass','pedi','age']]) # y = np.asanyarray(train[['CO2EMISSIONS']]) # pavan.fit (x, y) # # The coefficients # print ('Coefficients: ', pavan.coef_) # y_hat= pavan.predict(test[['ENGINESIZE','CYLINDERS','FUELCONSUMPTION_COMB']]) # x = np.asanyarray(test[['ENGINESIZE','CYLINDERS','FUELCONSUMPTION_COMB']]) # y = np.asanyarray(test[['CO2EMISSIONS']]) # print("Residual sum of squares: %.2f" # % np.mean((y_hat - y) ** 2)) # # Explained variance score: 1 is perfect prediction # print('Variance score: %.2f' % pavan.score(x, y))
30.294118
90
0.664725
208
1,545
4.865385
0.471154
0.075099
0.01581
0.021739
0.315217
0.152174
0.086957
0.086957
0.086957
0.086957
0
0.009834
0.144337
1,545
51
91
30.294118
0.755673
0.744337
0
0
0
0
0.292605
0.141479
0
0
0
0
0
1
0
false
0
0.555556
0
0.555556
0.111111
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
1
0
1
0
0
2
30de6e562d96339a760e009e813fc707bb59b762
382
py
Python
Computer science/Programming languages/Python/Basics/Builtins/Any and all/Heads or Tails/exercise.py
chanchanchong/PYTHON-TRACK-IN-HYPERSKILL
462fe08ff4a2b183fd45a0235ab1ec7a788bd54c
[ "MIT" ]
null
null
null
Computer science/Programming languages/Python/Basics/Builtins/Any and all/Heads or Tails/exercise.py
chanchanchong/PYTHON-TRACK-IN-HYPERSKILL
462fe08ff4a2b183fd45a0235ab1ec7a788bd54c
[ "MIT" ]
null
null
null
Computer science/Programming languages/Python/Basics/Builtins/Any and all/Heads or Tails/exercise.py
chanchanchong/PYTHON-TRACK-IN-HYPERSKILL
462fe08ff4a2b183fd45a0235ab1ec7a788bd54c
[ "MIT" ]
null
null
null
# We have tossed a coin a 6 times and saved the results in a list # called heads_or_tails. The values are integers: 1 stands for a # head, while 0 denotes a tail. # Add some code to find out whether the list has any heads. Do # not print the variable check, just store the result in it. # Fingers crossed check = any(heads_or_tails)# are there any heads in the list heads_or_tails
42.444444
75
0.759162
74
382
3.837838
0.662162
0.073944
0.126761
0
0
0
0
0
0
0
0
0.009772
0.196335
382
9
75
42.444444
0.915309
0.887435
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
30e08cea449ab7acbd15ba544931ff2a1f5c9838
2,564
py
Python
games/spiders/weaver.py
winkelmantanner/mmai20-dumbsophomores
bd2c88ea34cf9be83e2efd59abf2adf9a1a056fa
[ "MIT" ]
null
null
null
games/spiders/weaver.py
winkelmantanner/mmai20-dumbsophomores
bd2c88ea34cf9be83e2efd59abf2adf9a1a056fa
[ "MIT" ]
null
null
null
games/spiders/weaver.py
winkelmantanner/mmai20-dumbsophomores
bd2c88ea34cf9be83e2efd59abf2adf9a1a056fa
[ "MIT" ]
null
null
null
# Weaver: A Spiderling that can alter existing Webs by weaving to add or remove silk from the Webs, thus altering its strength. # DO NOT MODIFY THIS FILE # Never try to directly create an instance of this class, or modify its member variables. # Instead, you should only be reading its variables and calling its functions. from games.spiders.spiderling import Spiderling # <<-- Creer-Merge: imports -->> - Code you add between this comment and the end comment will be preserved between Creer re-runs. # you can add additional import(s) here # <<-- /Creer-Merge: imports -->> class Weaver(Spiderling): """The class representing the Weaver in the Spiders game. A Spiderling that can alter existing Webs by weaving to add or remove silk from the Webs, thus altering its strength. """ def __init__(self): """Initializes a Weaver with basic logic as provided by the Creer code generator.""" Spiderling.__init__(self) # private attributes to hold the properties so they appear read only self._strengthening_web = None self._weakening_web = None @property def strengthening_web(self): """The Web that this Weaver is strengthening. None if not strengthening. :rtype: Web """ return self._strengthening_web @property def weakening_web(self): """The Web that this Weaver is weakening. None if not weakening. :rtype: Web """ return self._weakening_web def strengthen(self, web): """ Weaves more silk into an existing Web to strengthen it. Args: web (Web): The web you want to strengthen. Must be connected to the Nest this Weaver is currently on. Returns: bool: True if the strengthen was successfully started, False otherwise. """ return self._run_on_server('strengthen', web=web) def weaken(self, web): """ Weaves more silk into an existing Web to strengthen it. Args: web (Web): The web you want to weaken. Must be connected to the Nest this Weaver is currently on. Returns: bool: True if the weaken was successfully started, False otherwise. """ return self._run_on_server('weaken', web=web) # <<-- Creer-Merge: functions -->> - Code you add between this comment and the end comment will be preserved between Creer re-runs. # if you want to add any client side logic (such as state checking functions) this is where you can add them # <<-- /Creer-Merge: functions -->>
37.705882
135
0.673557
355
2,564
4.797183
0.346479
0.023488
0.028186
0.021139
0.472108
0.472108
0.472108
0.472108
0.438051
0.438051
0
0
0.25351
2,564
67
136
38.268657
0.88976
0.687988
0
0.125
0
0
0.025316
0
0
0
0
0
0
1
0.3125
false
0
0.0625
0
0.6875
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
1
0
0
0
0
1
0
0
2
30eca20c9860c8c3a629db7ba642e1fd4d6af148
1,342
py
Python
2015/python/day25/chal49.py
astonshane/AdventOfCode
25c7380e73eede3f79287de6a9dedc8314ab7965
[ "MIT" ]
null
null
null
2015/python/day25/chal49.py
astonshane/AdventOfCode
25c7380e73eede3f79287de6a9dedc8314ab7965
[ "MIT" ]
null
null
null
2015/python/day25/chal49.py
astonshane/AdventOfCode
25c7380e73eede3f79287de6a9dedc8314ab7965
[ "MIT" ]
null
null
null
import sys import re ''' The voice on the other end of the phone continues with how the codes are actually generated. The first code is 20151125. After that, each code is generated by taking the previous one, multiplying it by 252533, and then keeping the remainder from dividing that value by 33554393. ''' def increment(last_value): inter = last_value * 252533 next_value = inter % 33554393 return next_value def printPaper(paper): print "#"*len(paper[0]) for line in paper: print line print "#"*len(paper[0]), "\n" # ###################### if len(sys.argv) != 2: print "need an input file" exit(1) f = open(sys.argv[1]) column = row = None for line in f: matchObj = re.match(r'To continue, please consult the code grid in the manual. Enter the code at row (\d*), column (\d*).', line, re.M | re.I) row = int(matchObj.group(1)) - 1 column = int(matchObj.group(2)) - 1 value = None paper = [] start = 20151125 paper.append([start]) last_value = start while value is None: paper.append([]) last_i = len(paper)-1 for i in range(last_i, -1, -1): paper[i].append(increment(last_value)) j = len(paper[i])-1 last_value = paper[i][-1] if row == i and column == j: value = last_value # printPaper(paper) print "Value =", value
26.84
278
0.631893
208
1,342
4.028846
0.427885
0.064439
0.042959
0.033413
0
0
0
0
0
0
0
0.056311
0.232489
1,342
49
279
27.387755
0.757282
0.012668
0
0
1
0.028571
0.127345
0
0
0
0
0
0
0
null
null
0
0.057143
null
null
0.171429
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
30ed384d61ee1505b9dd584522cdaf7c6c1cf1ad
671
py
Python
tools/lib-alert-tree/metalk8s/__init__.py
SaintLoong/metalk8s
06fa3a731f35ab0f9ad8d3443fd8f8c4e7037432
[ "Apache-2.0" ]
255
2018-08-03T17:32:53.000Z
2022-03-25T21:51:00.000Z
tools/lib-alert-tree/metalk8s/__init__.py
SaintLoong/metalk8s
06fa3a731f35ab0f9ad8d3443fd8f8c4e7037432
[ "Apache-2.0" ]
3,259
2018-08-03T00:25:56.000Z
2022-03-31T15:23:11.000Z
tools/lib-alert-tree/metalk8s/__init__.py
SaintLoong/metalk8s
06fa3a731f35ab0f9ad8d3443fd8f8c4e7037432
[ "Apache-2.0" ]
43
2018-08-08T01:47:22.000Z
2022-03-12T17:49:41.000Z
"""MetalK8s hierarchy of alerts.""" from lib_alert_tree.models import Relationship, severity_pair from lib_alert_tree.prometheus import PrometheusRule from .network import NETWORK_WARNING from .nodes import NODE_WARNING, NODE_CRITICAL from .platform import PLATFORM_WARNING, PLATFORM_CRITICAL from .volumes import VOLUME_WARNING, VOLUME_CRITICAL CLUSTER_WARNING, CLUSTER_CRITICAL = severity_pair( name="Cluster", summary_name="The cluster", relationship=Relationship.ANY, warning_children=[NETWORK_WARNING, NODE_WARNING, PLATFORM_WARNING, VOLUME_WARNING], critical_children=[NODE_CRITICAL, PLATFORM_CRITICAL, VOLUME_CRITICAL], duration="1m", )
35.315789
87
0.813711
81
671
6.432099
0.382716
0.026871
0.046065
0.06142
0
0
0
0
0
0
0
0.003361
0.113264
671
18
88
37.277778
0.872269
0.043219
0
0
0
0
0.031447
0
0
0
0
0
0
1
0
true
0
0.428571
0
0.428571
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
1
0
1
0
0
0
0
2
30ff2fcf277abf68844c22c82923de4130bde4b7
11,978
py
Python
a10sdk/core/vpn/vpn_ipsec.py
deepfield/a10sdk-python
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
[ "Apache-2.0" ]
16
2015-05-20T07:26:30.000Z
2021-01-23T11:56:57.000Z
a10sdk/core/vpn/vpn_ipsec.py
deepfield/a10sdk-python
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
[ "Apache-2.0" ]
6
2015-03-24T22:07:11.000Z
2017-03-28T21:31:18.000Z
a10sdk/core/vpn/vpn_ipsec.py
deepfield/a10sdk-python
bfaa58099f51f085d5e91652d1d1a3fd5c529d5d
[ "Apache-2.0" ]
23
2015-03-29T15:43:01.000Z
2021-06-02T17:12:01.000Z
from a10sdk.common.A10BaseClass import A10BaseClass class Bind(A10BaseClass): """This class does not support CRUD Operations please use parent. :param tunnel: {"description": "Tunnel interface index", "format": "number", "maximum": 128, "minimum": 1, "type": "number", "$ref": "/axapi/v3/interface/tunnel"} :param next_hop: {"type": "string", "description": "IPsec Next Hop IP Address", "format": "ipv4-address"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "bind" self.DeviceProxy = "" self.tunnel = "" self.next_hop = "" for keys, value in kwargs.items(): setattr(self,keys, value) class SamplingEnable(A10BaseClass): """This class does not support CRUD Operations please use parent. :param counters1: {"enum": ["all", "packets-encrypted", "packets-decrypted", "anti-replay-num", "rekey-num", "packets-err-inactive", "packets-err-encryption", "packets-err-pad-check", "packets-err-pkt-sanity", "packets-err-icv-check", "packets-err-badspi", "packets-err-lifetime-lifebytes", "bytes-encrypted", "bytes-decrypted", "prefrag-success", "prefrag-error", "frags-created", "frags-reassembled", "cavium-err-enc", "cavium-err-dec"], "type": "string", "description": "'all': all; 'packets-encrypted': packets-encrypted; 'packets-decrypted': packets-decrypted; 'anti-replay-num': anti-replay-num; 'rekey-num': rekey-num; 'packets-err-inactive': packets-err-inactive; 'packets-err-encryption': packets-err-encryption; 'packets-err-pad-check': packets-err-pad-check; 'packets-err-pkt-sanity': packets-err-pkt-sanity; 'packets-err-icv-check': packets-err-icv-check; 'packets-err-badspi': packets-err-badspi; 'packets-err-lifetime-lifebytes': packets-err-lifetime-lifebytes; 'bytes-encrypted': bytes-encrypted; 'bytes-decrypted': bytes-decrypted; 'prefrag-success': prefrag-success; 'prefrag-error': prefrag-error; 'frags-created': frags-created; 'frags-reassembled': frags-reassembled; 'cavium-err-enc': cavium-err-enc; 'cavium-err-dec': cavium-err-dec; ", "format": "enum"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "sampling-enable" self.DeviceProxy = "" self.counters1 = "" for keys, value in kwargs.items(): setattr(self,keys, value) class Ipv4(A10BaseClass): """This class does not support CRUD Operations please use parent. :param remote: {"type": "string", "description": "IPv4 Address", "format": "ipv4-address"} :param local_protocol: {"description": "IP Protocol Number (0-255)", "minimum": 0, "type": "number", "maximum": 255, "format": "number"} :param local_port: {"description": "Port Number", "minimum": 0, "type": "number", "maximum": 65535, "format": "number"} :param remote_port: {"description": "Port Number", "minimum": 0, "type": "number", "maximum": 65535, "format": "number"} :param local_netmask: {"type": "string", "description": "IPv4 Address Network Mask", "format": "ipv4-netmask"} :param remote_netmask: {"type": "string", "description": "IPv4 Address Network Mask", "format": "ipv4-netmask"} :param remote_protocol: {"description": "IP Protocol Number (0-255)", "minimum": 0, "type": "number", "maximum": 255, "format": "number"} :param local: {"type": "string", "description": "Local Traffic Selector", "format": "ipv4-address"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "ipv4" self.DeviceProxy = "" self.remote = "" self.local_protocol = "" self.local_port = "" self.remote_port = "" self.local_netmask = "" self.remote_netmask = "" self.remote_protocol = "" self.local = "" for keys, value in kwargs.items(): setattr(self,keys, value) class TrafficSelector(A10BaseClass): """This class does not support CRUD Operations please use parent. :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "traffic-selector" self.DeviceProxy = "" self.ipv4 = {} for keys, value in kwargs.items(): setattr(self,keys, value) class EncCfg(A10BaseClass): """This class does not support CRUD Operations please use parent. :param priority: {"description": "Prioritizes (1-10) security protocol, least value has highest priority", "format": "number", "default": 5, "maximum": 10, "minimum": 1, "type": "number"} :param encryption: {"enum": ["des", "3des", "aes-128", "aes-192", "aes-256", "null"], "type": "string", "description": "'des': Data Encryption Standard algorithm; '3des': Triple Data Encryption Standard algorithm; 'aes-128': Advanced Encryption Standard algorithm (key size: 128 bits); 'aes-192': Advanced Encryption Standard algorithm (key size: 192 bits); 'aes-256': Advanced Encryption Standard algorithm (key size: 256 bits); 'null': No encryption algorithm; ", "format": "enum"} :param hash: {"enum": ["md5", "sha1", "sha256", "null"], "type": "string", "description": "'md5': MD5 Dessage-Digest Algorithm; 'sha1': Secure Hash Algorithm 1; 'sha256': Secure Hash Algorithm 256; 'null': No hash algorithm; ", "format": "enum"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "enc-cfg" self.DeviceProxy = "" self.priority = "" self.encryption = "" self.A10WW_hash = "" for keys, value in kwargs.items(): setattr(self,keys, value) class Ipsec(A10BaseClass): """Class Description:: IPsec settings. Class ipsec supports CRUD Operations and inherits from `common/A10BaseClass`. This class is the `"PARENT"` class for this module.` :param lifebytes: {"description": "IPsec SA age in megabytes", "format": "number", "default": 0, "optional": true, "maximum": 8000000, "minimum": 0, "type": "number"} :param ike_gateway: {"description": "Gateway to use for IPsec SA", "format": "string", "minLength": 1, "optional": true, "maxLength": 31, "type": "string", "$ref": "/axapi/v3/vpn/ike-gateway"} :param name: {"description": "IPsec name", "format": "string", "minLength": 1, "optional": false, "maxLength": 31, "type": "string"} :param dh_group: {"optional": true, "enum": ["0", "1", "2", "5", "14", "15", "16", "18"], "type": "string", "description": "'0': Diffie-Hellman group 0 (Default); '1': Diffie-Hellman group 1; '2': Diffie-Hellman group 2; '5': Diffie-Hellman group 5; '14': Diffie-Hellman group 14; '15': Diffie-Hellman group 15; '16': Diffie-Hellman group 16; '18': Diffie-Hellman group 18; ", "format": "enum"} :param proto: {"description": "'esp': Encapsulating security protocol (Default); ", "format": "enum", "default": "esp", "type": "string", "enum": ["esp"], "optional": true} :param up: {"default": 0, "optional": true, "type": "number", "description": "Initiates SA negotiation to bring the IPsec connection up", "format": "flag"} :param anti_replay_window: {"optional": true, "enum": ["0", "16", "32", "64", "128", "256"], "type": "string", "description": "'0': Disable Anti-Replay Window Check; '16': Window Size of 16 bits; '32': Window Size of 32 bits; '64': Window Size of 64 bits; '128': Window Size of 128 bits; '256': Window Size of 256 bits; ", "format": "enum"} :param sampling_enable: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "counters1": {"enum": ["all", "packets-encrypted", "packets-decrypted", "anti-replay-num", "rekey-num", "packets-err-inactive", "packets-err-encryption", "packets-err-pad-check", "packets-err-pkt-sanity", "packets-err-icv-check", "packets-err-badspi", "packets-err-lifetime-lifebytes", "bytes-encrypted", "bytes-decrypted", "prefrag-success", "prefrag-error", "frags-created", "frags-reassembled", "cavium-err-enc", "cavium-err-dec"], "type": "string", "description": "'all': all; 'packets-encrypted': packets-encrypted; 'packets-decrypted': packets-decrypted; 'anti-replay-num': anti-replay-num; 'rekey-num': rekey-num; 'packets-err-inactive': packets-err-inactive; 'packets-err-encryption': packets-err-encryption; 'packets-err-pad-check': packets-err-pad-check; 'packets-err-pkt-sanity': packets-err-pkt-sanity; 'packets-err-icv-check': packets-err-icv-check; 'packets-err-badspi': packets-err-badspi; 'packets-err-lifetime-lifebytes': packets-err-lifetime-lifebytes; 'bytes-encrypted': bytes-encrypted; 'bytes-decrypted': bytes-decrypted; 'prefrag-success': prefrag-success; 'prefrag-error': prefrag-error; 'frags-created': frags-created; 'frags-reassembled': frags-reassembled; 'cavium-err-enc': cavium-err-enc; 'cavium-err-dec': cavium-err-dec; ", "format": "enum"}}}]} :param mode: {"description": "'tunnel': Encapsulating the packet in IPsec tunnel mode (Default); ", "format": "enum", "default": "tunnel", "type": "string", "enum": ["tunnel"], "optional": true} :param lifetime: {"description": "IPsec SA age in seconds", "format": "number", "default": 28800, "optional": true, "maximum": 28800, "minimum": 30, "type": "number"} :param enc_cfg: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"priority": {"description": "Prioritizes (1-10) security protocol, least value has highest priority", "format": "number", "default": 5, "maximum": 10, "minimum": 1, "type": "number"}, "encryption": {"enum": ["des", "3des", "aes-128", "aes-192", "aes-256", "null"], "type": "string", "description": "'des': Data Encryption Standard algorithm; '3des': Triple Data Encryption Standard algorithm; 'aes-128': Advanced Encryption Standard algorithm (key size: 128 bits); 'aes-192': Advanced Encryption Standard algorithm (key size: 192 bits); 'aes-256': Advanced Encryption Standard algorithm (key size: 256 bits); 'null': No encryption algorithm; ", "format": "enum"}, "hash": {"enum": ["md5", "sha1", "sha256", "null"], "type": "string", "description": "'md5': MD5 Dessage-Digest Algorithm; 'sha1': Secure Hash Algorithm 1; 'sha256': Secure Hash Algorithm 256; 'null': No hash algorithm; ", "format": "enum"}, "optional": true}}]} :param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` URL for this object:: `https://<Hostname|Ip address>//axapi/v3/vpn/ipsec/{name}`. """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.required = [ "name"] self.b_key = "ipsec" self.a10_url="/axapi/v3/vpn/ipsec/{name}" self.DeviceProxy = "" self.lifebytes = "" self.ike_gateway = "" self.name = "" self.dh_group = "" self.proto = "" self.bind = {} self.up = "" self.anti_replay_window = "" self.sampling_enable = [] self.traffic_selector = {} self.mode = "" self.lifetime = "" self.enc_cfg = [] self.uuid = "" for keys, value in kwargs.items(): setattr(self,keys, value)
63.042105
1,430
0.646519
1,449
11,978
5.295376
0.139406
0.054737
0.035579
0.019549
0.698423
0.671706
0.671706
0.671706
0.667405
0.667405
0
0.028675
0.173151
11,978
189
1,431
63.375661
0.746062
0.768826
0
0.405405
0
0
0.032635
0.010475
0
0
0
0
0
1
0.081081
false
0
0.013514
0
0.175676
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
a50344fb7ee14256b74c2a6d8f9183e4ffb0b760
5,954
py
Python
commons_static.py
d7d4af8/2047
bd6781b9502c6fdbd4745be5084977f679fa3fc5
[ "MIT" ]
35
2020-09-01T00:34:50.000Z
2022-03-29T13:14:15.000Z
commons_static.py
d7d4af8/2047
bd6781b9502c6fdbd4745be5084977f679fa3fc5
[ "MIT" ]
3
2020-08-19T20:47:19.000Z
2021-09-06T23:55:49.000Z
commons_static.py
d7d4af8/2047
bd6781b9502c6fdbd4745be5084977f679fa3fc5
[ "MIT" ]
10
2020-08-07T02:20:09.000Z
2022-01-30T06:43:45.000Z
import os, hashlib, binascii as ba import base64, re import time, math from colors import * # from functools import lru_cache from numba import jit from cachetools.func import * from cachy import * def iif(a,b,c):return b if a else c import json def obj2json(obj): return json.dumps(obj, ensure_ascii=False, sort_keys=True, indent=2) @stale_cache(ttr=1, ttl=30) def readfile(fn, mode='rb', *a, **kw): if 'b' not in mode: with open(fn, mode, encoding='utf8', *a, **kw) as f: return f.read() else: with open(fn, mode, *a, **kw) as f: return f.read() def writefile(fn, data, mode='wb', encoding='utf8', *a, **kw): if 'b' not in mode: with open(fn,mode, encoding=encoding, *a,**kw) as f: f.write(data) else: with open(fn,mode,*a,**kw) as f: f.write(data) def removefile(fn): try: os.remove(fn) except Exception as e: print_err(e) print_err('failed to remove', fn) else: return import threading def dispatch(f): return tpe.submit(f) # t = AppContextThreadMod(target=f, daemon=True) # # t = threading.Thread(target=f, daemon=True) # t.start() def dispatch_with_retries(f): n = 0 def wrapper(): nonlocal n while 1: try: f() except Exception as e: print_err(e) n+=1 time.sleep(0.5) print_up(f'{f.__name__}() retry #{n}') else: print_down(f'{f.__name__}() success on attempt #{n}') break return tpe.submit(wrapper) def init_directory(d): try: os.mkdir(d) except FileExistsError as e: print_err('directory {} already exists.'.format(d), e) else: print_info('directory {} created.'.format(d)) def key(d, k): if k in d: return d[k] else: return None def intify(s, name=''): try: return int(s) except: if s: # print_err('intifys',s,name) pass return 0 def floatify(s): try: return float(s) except: if s: pass return 0. def get_environ(k): k = k.upper() if k in os.environ: return os.environ[k] else: return None def clip(a,b): def _clip(c): return min(b,max(a, c)) return _clip clip01 = clip(0,1) import zlib def calculate_checksum(bin): return zlib.adler32(bin).to_bytes(4,'big') def calculate_checksum_base64(bin): csum = calculate_checksum(bin) chksum_encoded = base64.b64encode(csum).decode('ascii') return chksum_encoded def calculate_checksum_base64_replaced(bin): return calculate_checksum_base64(bin).replace('+','-').replace('/','_') def calculate_etag(bin): return calculate_checksum_base64_replaced(bin) # pw hashing def bytes2hexstr(b): return ba.b2a_hex(b).decode('ascii') def hexstr2bytes(h): return ba.a2b_hex(h.encode('ascii')) # https://nitratine.net/blog/post/how-to-hash-passwords-in-python/ def get_salt(): return os.urandom(32) def get_random_hex_string(b=8): return base64.b16encode(os.urandom(b)).decode('ascii') def hash_pw(salt, string): return hashlib.pbkdf2_hmac( 'sha256', string.encode('ascii'), salt, 100000, ) # input string, output hash and salt def hash_w_salt(string): salt = get_salt() hash = hash_pw(salt, string) return bytes2hexstr(hash), bytes2hexstr(salt) # input hash,salt,string, output comparison result def check_hash_salt_pw(hashstr, saltstr, string): chash = hash_pw(hexstr2bytes(saltstr), string) return chash == hexstr2bytes(hashstr) def timethis(stmt): import re, timeit print('timing', stmt) broken = re.findall(f'\$([a-zA-Z][0-9a-zA-Z_\-]*)', stmt) stmt = stmt.replace('$','') setup = f"from __main__ import {','.join(broken)}" exec(setup) # preheat exec(stmt) timeit.Timer(stmt, setup=setup ).autorange( lambda a,b:print(f'{a} in {b:.4f}, avg: {b/a*1000_000:.4f}us')) # if __name__ == '__main__': # k = time.time() # def hello(): # if time.time() - k < 2: # raise Exception('nah') # # dispatch_with_retries(hello) # time.sleep(4) if __name__ == '__main__': toenc = b"r12uf-398gy309ghh123r1"*100000 timethis('calculate_checksum_base64_replaced(toenc)') # everything time related import datetime dtdt = datetime.datetime dtt = datetime.time dtd = datetime.date dtn = dtdt.now dttz = datetime.timezone dttd = datetime.timedelta # default time parsing def dtdt_from_stamp(stamp): return dtdt.fromisoformat(stamp) dfs = dtdt_from_stamp def dfshk(stamp): return dfs(stamp).replace(tzinfo=working_timezone) # proper time formatting # input: string iso timestamp # output: string formatted time def format_time(dtdt,s): return dtdt.strftime(s) # default time formatting def format_time_iso(dtdt): return dtdt.isoformat(timespec='seconds')[:19] fti = format_time_iso format_time_datetime = lambda s: format_time(dfs(s), '%Y-%m-%d %H:%M') format_time_datetime_second = lambda s: format_time(dfs(s), '%Y-%m-%d %H:%M:%S') format_time_dateonly = lambda s: format_time(dfs(s), '%Y-%m-%d') format_time_timeonly = lambda s: format_time(dfs(s), '%H:%M') def days_since(ts): then = dfshk(ts) now = dtn(working_timezone) dt = now - then return dt.days def days_between(ts0, ts1): return abs(days_since(ts0) - days_since(ts1)) def seconds_since(ts): then = dfshk(ts) now = dtn(working_timezone) dt = now - then return dt.total_seconds() def cap(x, mi, ma): return min(max(x, mi),ma) working_timezone = dttz(dttd(hours=+8)) # Hong Kong gmt_timezone = dttz(dttd(hours=0)) # GMT def time_iso_now(dt=0): # dt in seconds return format_time_iso(dtn(working_timezone) + dttd(seconds=dt))
23.440945
80
0.624958
852
5,954
4.221831
0.308685
0.033361
0.031971
0.015569
0.183764
0.122046
0.116208
0.086183
0.086183
0.066166
0
0.022522
0.239335
5,954
253
81
23.533597
0.771694
0.115721
0
0.215909
0
0.005682
0.07945
0.017189
0
0
0
0
0
1
0.204545
false
0.011364
0.073864
0.107955
0.477273
0.051136
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
1
0
0
0
1
0
0
0
2
eb4e59d1e7d292a293ad5cb2f9ad4a937399a8be
377
py
Python
masq/cms/api/player.py
tehdiplomat/hidden-role-games
e6fdc132700db8d12fd57f08200a499cdc5bef7d
[ "MIT" ]
null
null
null
masq/cms/api/player.py
tehdiplomat/hidden-role-games
e6fdc132700db8d12fd57f08200a499cdc5bef7d
[ "MIT" ]
null
null
null
masq/cms/api/player.py
tehdiplomat/hidden-role-games
e6fdc132700db8d12fd57f08200a499cdc5bef7d
[ "MIT" ]
null
null
null
from rest_framework import generics from rest_framework import permissions from cms.models.Player import Player, PlayerSerializer class PlayerList(generics.ListCreateAPIView): queryset = Player.objects.all() serializer_class = PlayerSerializer class PlayerDetail(generics.RetrieveUpdateDestroyAPIView): queryset = Player.objects.all() serializer_class = PlayerSerializer
31.416667
58
0.846154
39
377
8.076923
0.487179
0.050794
0.107937
0.146032
0.349206
0.349206
0.349206
0
0
0
0
0
0.092838
377
12
59
31.416667
0.921053
0
0
0.444444
0
0
0
0
0
0
0
0
0
1
0
false
0
0.333333
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
2
eb692e4110e4ef0e669c0d2da4924f938f9a1bf7
131
py
Python
Meus_dessafios/Exercicios2021/ex049.py
DiegoSilvaHoffmann/Curso-de-Python
62824bbd3ed42b256fda77acd49536ec7cf23b29
[ "MIT" ]
null
null
null
Meus_dessafios/Exercicios2021/ex049.py
DiegoSilvaHoffmann/Curso-de-Python
62824bbd3ed42b256fda77acd49536ec7cf23b29
[ "MIT" ]
null
null
null
Meus_dessafios/Exercicios2021/ex049.py
DiegoSilvaHoffmann/Curso-de-Python
62824bbd3ed42b256fda77acd49536ec7cf23b29
[ "MIT" ]
null
null
null
n = int(input('Qual numero voce quer saber a tabuada? ')) for t in range(1, 11): print('{} X {:2} = {}'.format(n, t, (n * t)))
32.75
57
0.541985
24
131
2.958333
0.833333
0.056338
0
0
0
0
0
0
0
0
0
0.038835
0.21374
131
3
58
43.666667
0.650485
0
0
0
0
0
0.40458
0
0
0
0
0
0
1
0
false
0
0
0
0
0.333333
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
eb79b40becdf00ebe271dc98a573c69abffc8026
946
py
Python
katana/compound.py
eugene-eeo/katana
a95499786c39b93edbcc1987340bcf4b9069b100
[ "MIT" ]
null
null
null
katana/compound.py
eugene-eeo/katana
a95499786c39b93edbcc1987340bcf4b9069b100
[ "MIT" ]
null
null
null
katana/compound.py
eugene-eeo/katana
a95499786c39b93edbcc1987340bcf4b9069b100
[ "MIT" ]
null
null
null
from katana.utils import Node, Pair, prepare from katana.term import null def sequence(*terms): def fn(pair): for each in terms: pair = each(pair) return pair return fn def group(expr): def fn(pair): # we use an empty pair to 'capture' the nodes # produced by the grouped exprs. p2 = prepare(pair.tail) p2 = expr(p2) node = Node(fn, p2.nodes) return Pair(pair.nodes + [node], p2.tail) return fn def repeat(expr): def fn(pair): while 1: try: pair = expr(pair) except ValueError: break return pair return fn def option(*choices): def fn(pair): for item in choices: try: return item(pair) except ValueError: pass raise ValueError return fn def maybe(expr): return option(expr, null)
19.708333
53
0.530655
117
946
4.290598
0.393162
0.039841
0.071713
0.047809
0.083665
0
0
0
0
0
0
0.010381
0.389006
946
47
54
20.12766
0.858131
0.078224
0
0.4
0
0
0
0
0
0
0
0
0
1
0.257143
false
0.028571
0.057143
0.028571
0.571429
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
1
0
0
0
0
1
0
0
2
eb7ce3c241bbd8d84f52fc55688d7c71cbb1bc35
1,074
py
Python
Day 4/Puzzle 2.py
rookuu/AdventOfCode-2015
b94e98f5711d0901412b22342395457a8185bc10
[ "MIT" ]
null
null
null
Day 4/Puzzle 2.py
rookuu/AdventOfCode-2015
b94e98f5711d0901412b22342395457a8185bc10
[ "MIT" ]
null
null
null
Day 4/Puzzle 2.py
rookuu/AdventOfCode-2015
b94e98f5711d0901412b22342395457a8185bc10
[ "MIT" ]
null
null
null
#!/usr/bin/env python """ Solution to Day 4 - Puzzle 2 of the Advent Of Code 2015 series of challenges. --- Day 4: The Ideal Stocking Stuffer --- Solution must generate sequences of MD5 Hashes in Hex, using the conjugation of a secret key (given in the puzzle) and a number. The goal is to find the lowest number than generates a hash with 5 leading zeros. --- Part Two --- Now find one that starts with six zeroes. ----------------------------------------- Author: Luke "rookuu" Roberts """ import hashlib secretKey = "ckczppom" # Puzzle Input! number = -1 # I want this to potentially run infinitely until it finds the solution, however it would probably be more elegant to # just define a max value, but for completeness let's do it this way. while True: number += 1 hashedCode = hashlib.md5(secretKey + str(number)).hexdigest() if hashedCode[0:6] == "000000": # 6 Zeros! print "The lowest number that generates a hash with 6 leading 0s is " + str(number) + ", with the hash '" + \ str(hashedCode) + "'" break
25.571429
118
0.659218
159
1,074
4.45283
0.641509
0.011299
0.042373
0.050847
0
0
0
0
0
0
0
0.027446
0.219739
1,074
41
119
26.195122
0.817422
0.212291
0
0
1
0
0.259053
0
0
0
0
0
0
0
null
null
0
0.1
null
null
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
1
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
eb8e025e5893358354a8291dfa1959b4b35d1f72
1,055
py
Python
tests/test_password_requirements.py
gitter-badger/passwd
4dc3be61ae578a0ddab22744784c30bbaf4a69d9
[ "MIT" ]
null
null
null
tests/test_password_requirements.py
gitter-badger/passwd
4dc3be61ae578a0ddab22744784c30bbaf4a69d9
[ "MIT" ]
null
null
null
tests/test_password_requirements.py
gitter-badger/passwd
4dc3be61ae578a0ddab22744784c30bbaf4a69d9
[ "MIT" ]
null
null
null
from passwd import PasswordRequirements def test_min_length(): length_8 = PasswordRequirements(min_length=8) assert length_8.check("abcd1234") assert not length_8.check("abc123") # No minimum characters requirement if not specified assert PasswordRequirements().check("abc123") def test_min_digits(): digits_2 = PasswordRequirements(min_digits=2) assert not digits_2.check("abc") assert not digits_2.check("abc1") assert digits_2.check("abc12") assert digits_2.check("abc123") def test_special_characters(): special_1 = PasswordRequirements(min_special=1) assert special_1.check("abc$") assert special_1.check("abc$%^@*") assert not special_1.check("abc") assert not special_1.check("abc123") def test_combinations(): length_6_digits_3 = PasswordRequirements(min_length=6, min_digits=3) assert length_6_digits_3.check("abc123") assert not length_6_digits_3.check("ab123") assert not length_6_digits_3.check("abcd12") assert not length_6_digits_3.check("ab12")
25.731707
72
0.734597
145
1,055
5.068966
0.227586
0.097959
0.088435
0.095238
0.321088
0.238095
0.2
0.085714
0.085714
0
0
0.064117
0.157346
1,055
40
73
26.375
0.762655
0.047393
0
0
0
0
0.079761
0
0
0
0
0
0.625
1
0.166667
false
0.25
0.041667
0
0.208333
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
1
0
0
0
1
0
0
0
0
0
2
eb93180d23d186f1e37210d412a68f4ac775f24a
252
py
Python
apps/follow_system/admin.py
coogger/coogger
9e5e3ca172d8a14272948284a6822000b119119c
[ "MIT" ]
48
2018-04-13T13:00:10.000Z
2020-03-17T23:35:23.000Z
apps/follow_system/admin.py
coogger/coogger
9e5e3ca172d8a14272948284a6822000b119119c
[ "MIT" ]
77
2018-03-25T13:17:12.000Z
2020-08-11T08:24:49.000Z
apps/follow_system/admin.py
coogger/coogger
9e5e3ca172d8a14272948284a6822000b119119c
[ "MIT" ]
35
2018-03-30T21:43:21.000Z
2020-08-11T05:51:46.000Z
from django.contrib.admin import ModelAdmin, site from .models import Follow class FollowAdmin(ModelAdmin): list_display = ["user"] list_display_links = list_display filter_horizontal = ["following"] site.register(Follow, FollowAdmin)
19.384615
49
0.757937
29
252
6.413793
0.655172
0.177419
0
0
0
0
0
0
0
0
0
0
0.154762
252
12
50
21
0.873239
0
0
0
0
0
0.051587
0
0
0
0
0
0
1
0
false
0
0.285714
0
0.857143
0
1
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
1
0
0
2
eb95f1ab87d04cd0574e1b11b3c44d0c9592d55b
2,069
py
Python
pycspr/factory/state.py
MrKrautee/casper-python-sdk
13e9da83de8892583da7ada91e4231e6f85e5e13
[ "Apache-2.0" ]
2
2021-10-05T07:50:20.000Z
2021-10-06T09:58:19.000Z
pycspr/factory/state.py
MrKrautee/casper-python-sdk
13e9da83de8892583da7ada91e4231e6f85e5e13
[ "Apache-2.0" ]
null
null
null
pycspr/factory/state.py
MrKrautee/casper-python-sdk
13e9da83de8892583da7ada91e4231e6f85e5e13
[ "Apache-2.0" ]
null
null
null
from pycspr.types import CLAccessRights from pycspr.types import UnforgeableReference from pycspr.types import DictionaryIdentifier_AccountNamedKey from pycspr.types import DictionaryIdentifier_ContractNamedKey from pycspr.types import DictionaryIdentifier_SeedURef from pycspr.types import DictionaryIdentifier_UniqueKey def create_uref_from_string(as_string: str): """Returns an unforgeable reference from it's string representation. """ _, address_hex, access_rights = as_string.split("-") return UnforgeableReference(bytes.fromhex(address_hex), CLAccessRights(int(access_rights))) # @TODO: naming! suggestion-> get_account_named_key def create_dictionary_identifier_for_an_account_named_key( name: str, item_key: str, key: str ) -> DictionaryIdentifier_AccountNamedKey: """Returns a dictionary item identifier for querying an account's associated state. """ return DictionaryIdentifier_AccountNamedKey( dictionary_item_key=item_key, dictionary_name=name, key=key, ) # @TODO: naming! suggestion-> get_contract_named_key def create_dictionary_identifier_for_a_contract_named_key( ) -> DictionaryIdentifier_ContractNamedKey: """Returns a dictionary item identifier for querying a contract's associated state. """ # @TODO: key not defined! # return DictionaryIdentifier_ContractNamedKey(key=key) pass # @TODO: naming! suggestion-> get_seed_uref def create_dictionary_identifier_for_a_seed_uref( ) -> DictionaryIdentifier_SeedURef: """Returns a dictionary item identifier for querying a uref's associated state. """ # @TODO: key not defined! # return DictionaryIdentifier_SeedURef(key=key) pass # @TODO: naming! suggestion-> get_id_for_unique_key def create_dictionary_identifier_for_a_unique_key( key: str ) -> DictionaryIdentifier_UniqueKey: """Returns a dictionary item identifier for querying a uref's associated state. """ return DictionaryIdentifier_UniqueKey(key=key)
32.328125
72
0.754954
233
2,069
6.424893
0.240343
0.069472
0.06012
0.084168
0.511022
0.356045
0.334001
0.183033
0.153641
0.085504
0
0
0.17448
2,069
63
73
32.84127
0.876464
0.351861
0
0.133333
0
0
0.000794
0
0
0
0
0.063492
0
1
0.166667
false
0.066667
0.2
0
0.466667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
1
0
0
0
0
0
2
eb9aca23cd9eb9a3adbe7efbdbb4b5a0a2537075
290
py
Python
zeekscript/error.py
zeek/zeekscript
9f48f8912c7f157e082d3d0ddfd9d749d9bb7592
[ "BSD-3-Clause" ]
null
null
null
zeekscript/error.py
zeek/zeekscript
9f48f8912c7f157e082d3d0ddfd9d749d9bb7592
[ "BSD-3-Clause" ]
8
2022-03-15T00:45:03.000Z
2022-03-29T02:54:25.000Z
zeekscript/error.py
ckreibich/zeekscript
66eabd9b92cdfac5b615d4b1983392d184ed546b
[ "BSD-3-Clause" ]
1
2022-03-15T00:24:03.000Z
2022-03-15T00:24:03.000Z
"""Exception hierarchy for the zeekscript package.""" class Error(Exception): """Base class for all zeekscript errors.""" class FileError(Error): """System errors while processing script files""" class ParserError(Error): """A hard parsing error, producing no parse tree."""
26.363636
56
0.710345
35
290
5.885714
0.714286
0
0
0
0
0
0
0
0
0
0
0
0.162069
290
10
57
29
0.847737
0.606897
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
1
0
0
2
eb9aeaeca3acf0901c1cf5d2512bfa72c4037e8b
500
py
Python
tests/r/test_slid.py
hajime9652/observations
2c8b1ac31025938cb17762e540f2f592e302d5de
[ "Apache-2.0" ]
199
2017-07-24T01:34:27.000Z
2022-01-29T00:50:55.000Z
tests/r/test_slid.py
hajime9652/observations
2c8b1ac31025938cb17762e540f2f592e302d5de
[ "Apache-2.0" ]
46
2017-09-05T19:27:20.000Z
2019-01-07T09:47:26.000Z
tests/r/test_slid.py
hajime9652/observations
2c8b1ac31025938cb17762e540f2f592e302d5de
[ "Apache-2.0" ]
45
2017-07-26T00:10:44.000Z
2022-03-16T20:44:59.000Z
from __future__ import absolute_import from __future__ import division from __future__ import print_function import shutil import sys import tempfile from observations.r.slid import slid def test_slid(): """Test module slid.py by downloading slid.csv and testing shape of extracted data has 7425 rows and 5 columns """ test_path = tempfile.mkdtemp() x_train, metadata = slid(test_path) try: assert x_train.shape == (7425, 5) except: shutil.rmtree(test_path) raise()
20.833333
45
0.746
72
500
4.902778
0.569444
0.084986
0.135977
0
0
0
0
0
0
0
0
0.02457
0.186
500
23
46
21.73913
0.842752
0.214
0
0
0
0
0
0
0
0
0
0
0.066667
1
0.066667
false
0
0.466667
0
0.533333
0.066667
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
1
0
1
0
0
2
eba4ffa534e8ee8eae94ebf37eecba0c4e4ecfe1
422
py
Python
core/utils/network/sms.py
vsilent/smarty-bot
963cba05433be14494ba339343c9903ccab3c37d
[ "MIT" ]
1
2016-10-08T09:01:05.000Z
2016-10-08T09:01:05.000Z
core/utils/network/sms.py
vsilent/smarty-bot
963cba05433be14494ba339343c9903ccab3c37d
[ "MIT" ]
1
2019-09-24T09:56:52.000Z
2019-09-24T09:56:52.000Z
core/utils/network/sms.py
vsilent/smarty-bot
963cba05433be14494ba339343c9903ccab3c37d
[ "MIT" ]
null
null
null
from twilio.rest import TwilioRestClient # Your Account Sid and Auth Token from twilio.com/user/account account_sid = "AC32a3c49700934481addd5ce1659f04d2" auth_token = "" client = TwilioRestClient(account_sid, auth_token) message = client.sms.messages.create(body="Jenny please?! I love you <3", to="+14159352345", # Replace with your phone number from_="+14158141829") # Replace with your Twilio number print message.sid
42.2
73
0.793839
56
422
5.892857
0.607143
0.090909
0.090909
0
0
0
0
0
0
0
0
0.12
0.111374
422
9
74
46.888889
0.76
0.291469
0
0
0
0
0.291525
0.115254
0
0
0
0
0
0
null
null
0
0.125
null
null
0.125
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
ebc9a9ceb1bf20236162ada1c475138e3710be43
1,031
py
Python
users/tests/factories/user.py
gafderks/dbase
4089cf220740afd7fcc0ae68fcd6185829a60eae
[ "Apache-2.0" ]
null
null
null
users/tests/factories/user.py
gafderks/dbase
4089cf220740afd7fcc0ae68fcd6185829a60eae
[ "Apache-2.0" ]
281
2020-04-03T15:22:46.000Z
2022-03-31T20:53:28.000Z
users/tests/factories/user.py
gafderks/dbase
4089cf220740afd7fcc0ae68fcd6185829a60eae
[ "Apache-2.0" ]
null
null
null
import factory from django.contrib.auth import get_user_model from django.contrib.auth.hashers import make_password from users.tests.factories import GroupFactory class UserFactory(factory.django.DjangoModelFactory): class Meta: model = get_user_model() class Params: email_base = factory.Faker("safe_email") email = factory.LazyAttributeSequence(lambda o, n: f"{n}{o.email_base}") first_name = factory.Faker("first_name") last_name = factory.Faker("last_name") group = factory.SubFactory(GroupFactory) # Role groups = factory.RelatedFactoryList( "users.tests.factories.RoleFactory", size=1, factory_related_name="user" ) @factory.post_generation def password(self, create, extracted, **kwargs): if extracted is None: self.password = UserFactory.PASSWORD else: self.password = make_password(extracted) UserFactory.PASSWORD = make_password("password") class SuperUserFactory(UserFactory): is_superuser = True
27.131579
80
0.71387
118
1,031
6.084746
0.474576
0.050139
0.047354
0.058496
0
0
0
0
0
0
0
0.0012
0.192047
1,031
37
81
27.864865
0.860744
0.00388
0
0
0
0
0.08878
0.032195
0
0
0
0
0
1
0.04
false
0.2
0.16
0
0.6
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
1
0
0
1
0
0
2
ebcd3ef6ba7bb0afb95e3a6a661f9340950f81a5
2,502
py
Python
src/edrn/bmdb/descreport.py
EDRN/edrn.bmdb
e8cf66d45ded0ef6aacbf7c92468bbf3c9d3d6dc
[ "Apache-2.0" ]
null
null
null
src/edrn/bmdb/descreport.py
EDRN/edrn.bmdb
e8cf66d45ded0ef6aacbf7c92468bbf3c9d3d6dc
[ "Apache-2.0" ]
5
2020-08-05T21:21:21.000Z
2021-12-14T22:55:49.000Z
src/edrn/bmdb/descreport.py
EDRN/edrn.bmdb
e8cf66d45ded0ef6aacbf7c92468bbf3c9d3d6dc
[ "Apache-2.0" ]
null
null
null
# encoding: utf-8 import argparse, getpass, pymysql, sys, csv def generateDescriptionReport(connection): cursor = connection.cursor() cursor.execute("SET CHARACTER_SET_RESULTS='latin1'") cursor.execute('''SELECT biomarkers.id, biomarkers.name, biomarkers.description FROM biomarkers''') with open('results.csv', 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerow(['ID', 'Name', 'HGNC', 'Alternative Facts', 'Description']) for biomarkerRow in cursor.fetchall(): number, name, description = biomarkerRow # HGNC name subCursor = connection.cursor() subCursor.execute("SET CHARACTER_SET_RESULTS='latin1'") subCursor.execute(''' SELECT biomarker_names.name FROM biomarker_names WHERE biomarker_names.biomarker_id = %s AND biomarker_names.isHgnc = 1 ''', (number,)) hgnc = 'unknown' if subCursor.rowcount == 0 else subCursor.fetchall()[0][0] # Aliases subCursor.execute(''' SELECT biomarker_names.name FROM biomarker_names WHERE biomarker_names.biomarker_id = %s AND biomarker_names.isHgnc = 0 ORDER BY biomarker_names.name ''', (number,)) aliases = [i[0] for i in subCursor.fetchall()] writer.writerow([str(number), name, hgnc, ', '.join(sorted(list(aliases))), description]) def main(): parser = argparse.ArgumentParser(description="Make description report") parser.add_argument('-H', '--host', default='localhost', help='MySQL host; default %(default)s') parser.add_argument('-D', '--database', default='cbmdb', help='MySQL database, default %(default)s') parser.add_argument('-u', '--user', default='cbmdb', help='MySQL user; default %(default)s') parser.add_argument('-p', '--password', help='MySQL password; will be prompted if not given') args = parser.parse_args() user = args.user password = args.password if args.password else getpass.getpass(u'Password for MySQL user "{}": '.format(user)) connection = pymysql.connect(host=args.host, user=user, password=password, database=args.database) generateDescriptionReport(connection) sys.exit(0)
42.40678
114
0.593125
258
2,502
5.674419
0.352713
0.086066
0.046448
0.043033
0.266393
0.266393
0.153005
0.153005
0.153005
0.153005
0
0.006118
0.281375
2,502
58
115
43.137931
0.80812
0.013189
0
0.361702
1
0
0.426369
0.073834
0
0
0
0
0
1
0.042553
false
0.085106
0.021277
0
0.06383
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
1
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
ebcde5c471d2e047658950f119e82a4bf8ac5818
32,598
py
Python
pysnmp-with-texts/ENTERASYS-POWER-ETHERNET-EXT-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
8
2019-05-09T17:04:00.000Z
2021-06-09T06:50:51.000Z
pysnmp-with-texts/ENTERASYS-POWER-ETHERNET-EXT-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
4
2019-05-31T16:42:59.000Z
2020-01-31T21:57:17.000Z
pysnmp-with-texts/ENTERASYS-POWER-ETHERNET-EXT-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
10
2019-04-30T05:51:36.000Z
2022-02-16T03:33:41.000Z
# # PySNMP MIB module ENTERASYS-POWER-ETHERNET-EXT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ENTERASYS-POWER-ETHERNET-EXT-MIB # Produced by pysmi-0.3.4 at Wed May 1 13:04:21 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint") etsysModules, = mibBuilder.importSymbols("ENTERASYS-MIB-NAMES", "etsysModules") entPhysicalIndex, = mibBuilder.importSymbols("ENTITY-MIB", "entPhysicalIndex") EnabledStatus, = mibBuilder.importSymbols("P-BRIDGE-MIB", "EnabledStatus") pethPsePortEntry, pethMainPseEntry = mibBuilder.importSymbols("POWER-ETHERNET-MIB", "pethPsePortEntry", "pethMainPseEntry") NotificationGroup, ModuleCompliance, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance", "ObjectGroup") MibIdentifier, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, ModuleIdentity, ObjectIdentity, Unsigned32, NotificationType, Integer32, Bits, iso, IpAddress, Counter32, Bits, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "ModuleIdentity", "ObjectIdentity", "Unsigned32", "NotificationType", "Integer32", "Bits", "iso", "IpAddress", "Counter32", "Bits", "Gauge32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") etsysPowerEthernetMibExtMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50)) etsysPowerEthernetMibExtMIB.setRevisions(('2009-08-27 20:31', '2005-01-10 16:30', '2004-08-17 22:27',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: etsysPowerEthernetMibExtMIB.setRevisionsDescriptions(('Adding objects to support IEEE Std. 802.3at functionality. Changes to etsysPsePortPowerManagementTable: - Increased max etsysPsePortPowerLimit range to 34000. - Added etsysPsePortCapability, etsysPsePortCapabilitySelect, and etsysPsePortDetectionStatus objects.', 'Added the power management functionality.', 'The initial version of this MIB module',)) if mibBuilder.loadTexts: etsysPowerEthernetMibExtMIB.setLastUpdated('200908272031Z') if mibBuilder.loadTexts: etsysPowerEthernetMibExtMIB.setOrganization('Enterasys Networks, Inc') if mibBuilder.loadTexts: etsysPowerEthernetMibExtMIB.setContactInfo('Postal: Enterasys Networks 50 Minuteman Rd. Andover, MA 01810-1008 USA Phone: +1 978 684 1000 E-mail: support@enterasys.com WWW: http://www.enterasys.com') if mibBuilder.loadTexts: etsysPowerEthernetMibExtMIB.setDescription('This MIB module defines a portion of the SNMP MIB under the Enterasys Networks enterprise OID pertaining to the allocation of power in a Pse chassis.') etsysPowerEthernetObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1)) etsysPseChassisPowerAllocation = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 1)) etsysPseSlotPowerAllocation = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 2)) etsysPseChassisPowerStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3)) etsysPseSlotPowerManagement = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4)) etsysPsePortPowerManagement = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5)) etsysPsePowerNotification = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 0)) etsysPseChassisPowerAllocationMode = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("auto", 1), ("manual", 2))).clone('auto')).setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPseChassisPowerAllocationMode.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerAllocationMode.setDescription('In auto mode, a Pse Power Management Algorithm handles the allocation of power to all the modules. In manual mode, power is manually allocated to the modules via the etsysPseSlotPowerAllocationTable. The value of etsysPseChassisPowerAllocationAvailable is used to determine the power available for allocation in this chassis in both auto and manual mode. Maintaining the value of this object across agent reboots is REQUIRED.') etsysPseChassisPowerSnmpNotification = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 1, 2), EnabledStatus()).setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPseChassisPowerSnmpNotification.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerSnmpNotification.setDescription('The current state of the SNMP Notification functionality for Pse. enabled (1) - The Pse will generate SNMP Notifications for potentially adverse Pse power conditions. The generation of these notifications are NOT dependant upon the state of etsysPseChassisPowerAllocationMode. disabled (2) - The SNMP Notifications defined in this MIB will NOT be generated under any conditions. Agents are not required to generate SNMP Notifications for conditions that exist when this object is set to enabled. Maintaining the value of this object across agent reboots is REQUIRED.') etsysPseChassisPowerAvailableMaximum = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 100)).clone(100)).setUnits('percent').setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPseChassisPowerAvailableMaximum.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerAvailableMaximum.setDescription('The maximum percentage of power from the Pse Power Supply that this chassis can use. The default value should be 100 percent, meaning the chassis can use all the power detected from Pse Power Supply. Maintaining the value of this object across agent reboots is REQUIRED.') etsysPseSlotPowerAllocationTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 2, 1), ) if mibBuilder.loadTexts: etsysPseSlotPowerAllocationTable.setStatus('current') if mibBuilder.loadTexts: etsysPseSlotPowerAllocationTable.setDescription('Power allocation management information for all slots.') etsysPseSlotPowerAllocationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 2, 1, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex")) if mibBuilder.loadTexts: etsysPseSlotPowerAllocationEntry.setStatus('current') if mibBuilder.loadTexts: etsysPseSlotPowerAllocationEntry.setDescription('Power allocation management information for an entPhysicalEntry that has an entPhysicalClass of container(5) and represents a slot in the chassis that could be occupied by a Pse module.') etsysPseSlotPowerMaximum = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 2, 1, 1, 1), Unsigned32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseSlotPowerMaximum.setStatus('current') if mibBuilder.loadTexts: etsysPseSlotPowerMaximum.setDescription("The maximum power that can be consumed by the module in this slot, based on the module's characteristics. For slots without Pse modules this object MUST return zero.") etsysPseSlotPowerAssigned = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 2, 1, 1, 2), Unsigned32()).setUnits('Watts').setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPseSlotPowerAssigned.setStatus('current') if mibBuilder.loadTexts: etsysPseSlotPowerAssigned.setDescription('The power that will be allocated to this slot in manual mode. In auto mode, this object has no effect. Maintaining the value of this object across agent reboots is REQUIRED.') etsysPseChassisPowerDetected = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 1), Gauge32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseChassisPowerDetected.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerDetected.setDescription('The total power detected by the chassis from Pse Power Supply.') etsysPseChassisPowerAvailable = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 2), Gauge32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseChassisPowerAvailable.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerAvailable.setDescription('The total power available for this chassis. This is ( etsysPseChassisPowerDetected * ( etsysPseChassisPowerAvailableMaximum / 100 ) ).') etsysPseChassisPowerConsumable = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 3), Gauge32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseChassisPowerConsumable.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerConsumable.setDescription('The total power that could be consumed by all of the Pse modules in the chassis. This is the summation of the values of all of the etsysPseSlotPowerMaximum objects.') etsysPseChassisPowerAssigned = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 4), Unsigned32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseChassisPowerAssigned.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerAssigned.setDescription('The total power assigned to the slots in the chassis. This is the summation of the values of all of the etsysPseSlotPowerAssigned objects.') etsysPseChassisPowerRedundancy = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("redundant", 1), ("notRedundant", 2), ("notSupported", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseChassisPowerRedundancy.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerRedundancy.setDescription('Denotes whether or not the Pse power system has redundant capacity.') etsysPseModulePowerManagementTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4, 1), ) if mibBuilder.loadTexts: etsysPseModulePowerManagementTable.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerManagementTable.setDescription('This table augments the pethMainPseTable of the PowerEthernetMIB (rfc3621). It provides objects that are used to budget power.') etsysPseModulePowerManagementEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4, 1, 1), ) pethMainPseEntry.registerAugmentions(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerManagementEntry")) etsysPseModulePowerManagementEntry.setIndexNames(*pethMainPseEntry.getIndexNames()) if mibBuilder.loadTexts: etsysPseModulePowerManagementEntry.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerManagementEntry.setDescription('A set of objects that display, control, and calculate the power consumption of a PSE.') etsysPseModulePowerMode = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("realtime", 1), ("class", 2))).clone('realtime')).setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPseModulePowerMode.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerMode.setDescription('This object controls the power management of the PSE. It also controls how etsysPseModulePowerClassBudget, etsysPseModulePowerUsage and etsysPsePortPowerLimit are utilized. In realtime mode, the power is managed based on the actual power consumption of the ports. etsysPseModulePowerClassBudget is sum of power consumed by all ports, measured in real-time. The etsysPseModulePowerUsage is ratio of pethMainPseConsumptionPower over pethMainPsePower, expressed in percents. In class mode, the power is managed based on the IEEE 802.3af definition of the class upper limit, except classes 0 & 4 for which the actual power consumption is used. etsysPseModulePowerClassBudget is sum of all ports power according to their class upper bound, except classes 0 & 4 for which the actual power consumption is accounted. The etsysPseModulePowerUsage is ratio of etsysPseModulePowerClassBudget over pethMainPsePower, expressed in percents. The effect of etsysPseModulePowerMode to etsysPsePortPowerLimit is described in etsysPsePortPowerLimit definition. Maintaining the value of this object across agent reboots is REQUIRED.') etsysPseModulePowerClassBudget = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4, 1, 1, 2), Gauge32()).setUnits('Watts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseModulePowerClassBudget.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerClassBudget.setDescription('In class mode, this is sum of all ports power according to their class upper bound, except classes 0 & 4 for which the actual power consumption is accounted. In realtime mode, this is sum of power consumed by all ports, measured in real-time.') etsysPseModulePowerUsage = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 4, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setUnits('%').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPseModulePowerUsage.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerUsage.setDescription('In class mode, this is ratio of etsysPseModulePowerClassBudget over pethMainPsePower, expressed in percents. In realtime mode, this is ratio of pethMainPseConsumptionPower over pethMainPsePower, expressed in percents.') etsysPsePortPowerManagementTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1), ) if mibBuilder.loadTexts: etsysPsePortPowerManagementTable.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPowerManagementTable.setDescription('This table augments the pethPsePortTable of the PowerEthernetMIB (rfc3621). It provides objects that are used to budget power.') etsysPsePortPowerManagementEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1), ) pethPsePortEntry.registerAugmentions(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerManagementEntry")) etsysPsePortPowerManagementEntry.setIndexNames(*pethPsePortEntry.getIndexNames()) if mibBuilder.loadTexts: etsysPsePortPowerManagementEntry.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPowerManagementEntry.setDescription('A set of objects that display and control the power consumption of a PSE, at the port level.') etsysPsePortPowerLimit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 34000)).clone(15400)).setUnits('milliwatts').setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPsePortPowerLimit.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPowerLimit.setDescription("This object sets the maximum power allowed on this port. If the port exceeds its power limit, it will be shut down. This object has effect only when its module is in realtime mode (specified by etsysPseModulePowerMode). In class mode, the power limit of a port is defined by port's class upper bound, according to the IEEE standard selected in etsysPsePortCapabilitySelect.") etsysPsePortPowerUsage = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 2), Gauge32()).setUnits('milliwatts').setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPsePortPowerUsage.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPowerUsage.setDescription('Actual power consumption measured in real-time.') etsysPsePortPDType = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("legacy", 1), ("ieee8023af", 2), ("other", 3), ("ieee8023", 4), ("ieee8023at", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPsePortPDType.setReference('IEEE Std 802.3af IEEE Std 802.3at') if mibBuilder.loadTexts: etsysPsePortPDType.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPDType.setDescription('Describes the detected PD type on this port. A value of legacy(1) - indicates that the PD is using a capacitive signature, which is pre-IEEE standard. A value of ieee8023af(2)- indicates that the PD is using a resistive signature and is compliant with the IEEE Std 802.3af. A value of other(3) - indicates that the PD type could not be determined. A value of ieee8023(4)- indicates that the PD is using a resistive signature and is compliant with the IEEE Std 802.3af and/or IEEE Std 802.3at specifications. A value of ieee8023at(5)- indicates that the PD is using a resistive signature and is compliant with the IEEE Std 802.3at.') etsysPsePortCapability = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 4), Bits().clone(namedValues=NamedValues(("other", 0), ("ieee8023afCapable", 1), ("ieee8023atCapable", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPsePortCapability.setReference('IEEE Std 802.3af IEEE Std 802.3at') if mibBuilder.loadTexts: etsysPsePortCapability.setStatus('current') if mibBuilder.loadTexts: etsysPsePortCapability.setDescription('This object indicates the IEEE Power over Ethernet standard this port supports.') etsysPsePortCapabilitySelect = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ieee8023af", 1), ("ieee8023at", 2))).clone('ieee8023af')).setMaxAccess("readwrite") if mibBuilder.loadTexts: etsysPsePortCapabilitySelect.setReference('IEEE Std 802.3af IEEE Std 802.3at') if mibBuilder.loadTexts: etsysPsePortCapabilitySelect.setStatus('current') if mibBuilder.loadTexts: etsysPsePortCapabilitySelect.setDescription("This object sets the port's power management capabilities based on the IEEE standard. ieee8023af (1) : IEEE Std 802.3af ieee8023at (2) : IEEE Std 802.3at Attempting to set this value to a capability that is not supported, as indicated by etsysPsePortCapability, will result in an inconsistentValue error.") etsysPsePortDetectionStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 5, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("disabled", 1), ("searching", 2), ("deliveringPower", 3), ("fault", 4), ("test", 5), ("otherFault", 6), ("requestingPower", 7)))).setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPsePortDetectionStatus.setStatus('current') if mibBuilder.loadTexts: etsysPsePortDetectionStatus.setDescription("Describes the operational status of the port PD detection. A value of disabled(1)- indicates that the PSE State diagram is in the state DISABLED. A value of deliveringPower(3) - indicates that the PSE State diagram is in the state POWER_ON for a duration greater than tlim max. A value of fault(4) - indicates that the PSE State diagram is in the state TEST_ERROR. A value of test(5) - indicates that the PSE State diagram is in the state TEST_MODE. A value of otherFault(6) - indicates that the PSE State diagram is in the state IDLE due to the variable error_conditions. A value of searching(2)- indicates the PSE State diagram is in a state other than those listed above. A value of requestingPower(7) - indicates the PSE State diagram is in the state IDLE after transitioning from the state POWER_DENIED due to insufficient PSE power being available to satisfy the PD's requirements.") etsysPsePowerSupplyStatusTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 6), ) if mibBuilder.loadTexts: etsysPsePowerSupplyStatusTable.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerSupplyStatusTable.setDescription('Status information for all of the Pse power supply modules.') etsysPsePowerSupplyStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 6, 1), ).setIndexNames((0, "ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerSupplyModuleNumber")) if mibBuilder.loadTexts: etsysPsePowerSupplyStatusEntry.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerSupplyStatusEntry.setDescription('Status information for an individual Pse power supply module.') etsysPsePowerSupplyModuleNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 6, 1, 1), Unsigned32()) if mibBuilder.loadTexts: etsysPsePowerSupplyModuleNumber.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerSupplyModuleNumber.setDescription("A unique number that identifies the Pse power supply and is relative to the module's physical location.") etsysPsePowerSupplyModuleStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 3, 6, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("infoNotAvailable", 1), ("notInstalled", 2), ("installedAndOperating", 3), ("installedAndNotOperating", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: etsysPsePowerSupplyModuleStatus.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerSupplyModuleStatus.setDescription("Denotes the power supply's status.") etsysPseChassisPowerRedundant = NotificationType((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 0, 1)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerDetected")) if mibBuilder.loadTexts: etsysPseChassisPowerRedundant.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerRedundant.setDescription('Pse chassis power is in redundant state. At least 500 msec must elapse between notifications being emitted by the same object instance.') etsysPseChassisPowerNonRedundant = NotificationType((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 0, 2)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerDetected")) if mibBuilder.loadTexts: etsysPseChassisPowerNonRedundant.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerNonRedundant.setDescription('Pse chassis power is in non-redundant state. At least 500 msec must elapse between notifications being emitted by the same object instance.') etsysPsePowerSupplyModuleStatusChange = NotificationType((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 1, 0, 3)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerSupplyModuleStatus")) if mibBuilder.loadTexts: etsysPsePowerSupplyModuleStatusChange.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerSupplyModuleStatusChange.setDescription('A Pse Power Supply module has changed state. At least 500 msec must elapse between notifications being emitted by the same object instance.') etsysPsePowerAllocationConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2)) etsysPsePowerAllocationGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1)) etsysPsePowerAllocationCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 2)) etsysPsePowerAllocationControlGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 1)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerAllocationMode"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerSnmpNotification"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerAvailableMaximum"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseSlotPowerMaximum"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseSlotPowerAssigned")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePowerAllocationControlGroup = etsysPsePowerAllocationControlGroup.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerAllocationControlGroup.setDescription('Power over Ethernet Power Allocation Control group.') etsysPseChassisPowerStatusGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 2)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerDetected"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerAvailable"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerConsumable"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerAssigned"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerRedundancy"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerSupplyModuleStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPseChassisPowerStatusGroup = etsysPseChassisPowerStatusGroup.setStatus('current') if mibBuilder.loadTexts: etsysPseChassisPowerStatusGroup.setDescription('Power over Ethernet Power Supply group.') etsysPsePowerNotificationGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 3)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerRedundant"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerNonRedundant"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerSupplyModuleStatusChange")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePowerNotificationGroup = etsysPsePowerNotificationGroup.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerNotificationGroup.setDescription('Power over Ethernet Power Redundancy Notifications group.') etsysPseModulePowerManagementGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 4)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerMode"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerClassBudget"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerUsage")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPseModulePowerManagementGroup = etsysPseModulePowerManagementGroup.setStatus('current') if mibBuilder.loadTexts: etsysPseModulePowerManagementGroup.setDescription('Power over Ethernet Module Power Budget Management group.') etsysPsePortPowerManagementGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 5)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerLimit"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerUsage"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPDType")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePortPowerManagementGroup = etsysPsePortPowerManagementGroup.setStatus('deprecated') if mibBuilder.loadTexts: etsysPsePortPowerManagementGroup.setDescription('Power over Ethernet Port Power Budget Management group.') etsysPsePortPowerManagementGroupRev2 = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 1, 6)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerLimit"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerUsage"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPDType"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortCapability"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortCapabilitySelect"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortDetectionStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePortPowerManagementGroupRev2 = etsysPsePortPowerManagementGroupRev2.setStatus('current') if mibBuilder.loadTexts: etsysPsePortPowerManagementGroupRev2.setDescription('Power over Ethernet Port Power Budget Management group.') etsysPsePowerAllocationCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 2, 1)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerAllocationControlGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerStatusGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerNotificationGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePowerAllocationCompliance = etsysPsePowerAllocationCompliance.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerAllocationCompliance.setDescription('The compliance statement for devices that support manual power allocation.') etsysPsePowerAllocationCompliance2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 2, 2)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerAllocationControlGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerStatusGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerNotificationGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerManagementGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerManagementGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePowerAllocationCompliance2 = etsysPsePowerAllocationCompliance2.setStatus('deprecated') if mibBuilder.loadTexts: etsysPsePowerAllocationCompliance2.setDescription('The compliance statement for devices that support power budgets.') etsysPsePowerAllocationCompliance2Rev2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 50, 2, 2, 3)).setObjects(("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerAllocationControlGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseChassisPowerStatusGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePowerNotificationGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPseModulePowerManagementGroup"), ("ENTERASYS-POWER-ETHERNET-EXT-MIB", "etsysPsePortPowerManagementGroupRev2")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): etsysPsePowerAllocationCompliance2Rev2 = etsysPsePowerAllocationCompliance2Rev2.setStatus('current') if mibBuilder.loadTexts: etsysPsePowerAllocationCompliance2Rev2.setDescription('The compliance statement for devices that support power budgets.') mibBuilder.exportSymbols("ENTERASYS-POWER-ETHERNET-EXT-MIB", etsysPseChassisPowerAvailable=etsysPseChassisPowerAvailable, etsysPseChassisPowerRedundancy=etsysPseChassisPowerRedundancy, etsysPsePortPowerManagementTable=etsysPsePortPowerManagementTable, etsysPseSlotPowerAllocationTable=etsysPseSlotPowerAllocationTable, etsysPseSlotPowerAssigned=etsysPseSlotPowerAssigned, etsysPseModulePowerManagementGroup=etsysPseModulePowerManagementGroup, etsysPowerEthernetMibExtMIB=etsysPowerEthernetMibExtMIB, etsysPseSlotPowerManagement=etsysPseSlotPowerManagement, etsysPseSlotPowerAllocation=etsysPseSlotPowerAllocation, etsysPseModulePowerManagementTable=etsysPseModulePowerManagementTable, etsysPsePortDetectionStatus=etsysPsePortDetectionStatus, etsysPseChassisPowerAssigned=etsysPseChassisPowerAssigned, etsysPsePowerSupplyModuleStatusChange=etsysPsePowerSupplyModuleStatusChange, etsysPsePowerAllocationConformance=etsysPsePowerAllocationConformance, etsysPsePortPDType=etsysPsePortPDType, etsysPsePowerSupplyModuleStatus=etsysPsePowerSupplyModuleStatus, etsysPsePortPowerManagementGroup=etsysPsePortPowerManagementGroup, etsysPsePowerSupplyModuleNumber=etsysPsePowerSupplyModuleNumber, etsysPsePowerAllocationGroups=etsysPsePowerAllocationGroups, etsysPowerEthernetObjects=etsysPowerEthernetObjects, etsysPsePortPowerLimit=etsysPsePortPowerLimit, etsysPsePortPowerManagementEntry=etsysPsePortPowerManagementEntry, etsysPseChassisPowerAllocationMode=etsysPseChassisPowerAllocationMode, etsysPsePowerAllocationCompliance2Rev2=etsysPsePowerAllocationCompliance2Rev2, etsysPseChassisPowerConsumable=etsysPseChassisPowerConsumable, etsysPsePowerSupplyStatusEntry=etsysPsePowerSupplyStatusEntry, etsysPseChassisPowerStatus=etsysPseChassisPowerStatus, etsysPsePowerAllocationControlGroup=etsysPsePowerAllocationControlGroup, etsysPseModulePowerClassBudget=etsysPseModulePowerClassBudget, etsysPsePowerAllocationCompliance2=etsysPsePowerAllocationCompliance2, etsysPseChassisPowerAvailableMaximum=etsysPseChassisPowerAvailableMaximum, etsysPseChassisPowerDetected=etsysPseChassisPowerDetected, etsysPsePortPowerUsage=etsysPsePortPowerUsage, etsysPsePowerSupplyStatusTable=etsysPsePowerSupplyStatusTable, etsysPseChassisPowerNonRedundant=etsysPseChassisPowerNonRedundant, etsysPseChassisPowerAllocation=etsysPseChassisPowerAllocation, etsysPseModulePowerUsage=etsysPseModulePowerUsage, etsysPseSlotPowerMaximum=etsysPseSlotPowerMaximum, etsysPsePowerAllocationCompliances=etsysPsePowerAllocationCompliances, etsysPsePortCapabilitySelect=etsysPsePortCapabilitySelect, etsysPseChassisPowerStatusGroup=etsysPseChassisPowerStatusGroup, etsysPsePowerAllocationCompliance=etsysPsePowerAllocationCompliance, etsysPseModulePowerManagementEntry=etsysPseModulePowerManagementEntry, etsysPsePortCapability=etsysPsePortCapability, etsysPseSlotPowerAllocationEntry=etsysPseSlotPowerAllocationEntry, etsysPsePowerNotification=etsysPsePowerNotification, etsysPseChassisPowerRedundant=etsysPseChassisPowerRedundant, etsysPsePortPowerManagementGroupRev2=etsysPsePortPowerManagementGroupRev2, etsysPseModulePowerMode=etsysPseModulePowerMode, etsysPsePortPowerManagement=etsysPsePortPowerManagement, PYSNMP_MODULE_ID=etsysPowerEthernetMibExtMIB, etsysPseChassisPowerSnmpNotification=etsysPseChassisPowerSnmpNotification, etsysPsePowerNotificationGroup=etsysPsePowerNotificationGroup)
181.1
3,354
0.805111
3,591
32,598
7.3066
0.133389
0.037046
0.06483
0.008385
0.422022
0.298879
0.276507
0.262977
0.243692
0.218614
0
0.046967
0.088196
32,598
179
3,355
182.111732
0.835784
0.010982
0
0.059524
0
0.136905
0.404641
0.113493
0
0
0
0
0
1
0
false
0
0.059524
0
0.059524
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ebd755c6ab61a8ec21cb3e0460b0b018fae6b04c
4,787
py
Python
mysite/settings.py
davidefabbrico/Progetto_School
e32e345d154764725b96e2d22b441a17fae67ade
[ "MIT" ]
1
2021-09-04T08:56:32.000Z
2021-09-04T08:56:32.000Z
mysite/settings.py
davidefabbrico/Progetto_School
e32e345d154764725b96e2d22b441a17fae67ade
[ "MIT" ]
null
null
null
mysite/settings.py
davidefabbrico/Progetto_School
e32e345d154764725b96e2d22b441a17fae67ade
[ "MIT" ]
null
null
null
""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.0. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os from pathlib import Path # from django.views.generic.list import T # Build paths inside the project like this: os.path.join(BASE_DIR, ...) # BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! with open(os.path.join(BASE_DIR, 'secret_key.txt')) as f: SECRET_KEY = f.read().strip() # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True TEMPLATE_DEBUG = DEBUG ALLOWED_HOSTS = ['*'] # Application definition INSTALLED_APPS = [ 'polls.apps.PollsConfig', "verify_email.apps.VerifyEmailConfig", 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.sites', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'mysite.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'templates')], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] CORS_ALLOW_CREDENTIALS = True CORS_ORIGIN_ALLOW_ALL = True CORS_ALLOW_CREDENTIALS = True CSRF_TRUSTED_ORIGINS = ['progettoschool.it'] CORS_REPLACE_HTTPS_REFERER = True CSRF_COOKIE_DOMAIN = 'progettoschool.it' CORS_ORIGIN_WHITELIST = ( 'https://progettoschool.it' ) WSGI_APPLICATION = 'mysite.wsgi.application' # database server DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': 'database name', 'HOST': 'database host in project I use ovh', 'PORT': '35150', 'USER': 'root', 'PASSWORD': 'password', } } SITE_ID = 1 # solo in locale EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' EMAIL_HOST = "smtp.gmail.com" EMAIL_PORT = 587 EMAIL_USE_TLS = True EMAIL_HOST_USER = "email@gmail.com" EMAIL_HOST_PASSWORD = "password" MAILER_EMAIL_BACKEND = EMAIL_BACKEND DEFAULT_FROM_EMAIL = EMAIL_HOST_USER # Password validation # https://docs.djangoproject.com/en/2.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.0/topics/i18n/ LANGUAGE_CODE = 'it' TIME_ZONE = 'Europe/Berlin' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.0/howto/static-files/ STATIC_URL = '/static/' STATIC_ROOT = os.path.join(BASE_DIR, 'mysite/static') # STATIC_ROOT = os.path.join(BASE_DIR, 'mysite/polls/static/polls') # STATICFILES_DIRS = [ # os.path.join(BASE_DIR, "mysite/static/") # ] # # HTTPSS settings # SESSION_COOKIE_SECURE = True # CSRF_COOKIE_SECURE = True # SECURE_SSL_REDIRECT = True # # HSTS settings # SECURE_HSTS_SECONDS = 31536000 # 1 anno # SECURE_HSTS_PRELOAD = True # SECURE_HSTS_INCLUDE_SUBDOMAINS = True # for the verification of the email LOGIN_URL = 'login' EXPIRE_AFTER = "2h" SUBJECT = 'Email di verifica' DEFAULT_FROM_EMAIL = 'noreply<no_reply@google.com>' HTML_MESSAGE_TEMPLATE = "admin/html_template.html" VERIFICATION_SUCCESS_TEMPLATE = "admin/success.html" VERIFICATION_FAILED_TEMPLATE = "admin/failed.html"
25.736559
91
0.714644
570
4,787
5.821053
0.377193
0.062688
0.035865
0.045208
0.175105
0.155214
0.100663
0.091923
0.047619
0
0
0.009704
0.160435
4,787
185
92
25.875676
0.815875
0.301233
0
0.019802
1
0
0.474433
0.339486
0
0
0
0
0
1
0
false
0.069307
0.019802
0
0.019802
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
1
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
ebe0126738d573de80b9e875199a6e91681b5d67
744
py
Python
hackerrank/Algorithms/Grid Challenge/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
4
2020-07-24T01:59:50.000Z
2021-07-24T15:14:08.000Z
hackerrank/Algorithms/Grid Challenge/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
hackerrank/Algorithms/Grid Challenge/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
import unittest import solution class TestQ(unittest.TestCase): def test_case_0(self): self.assertEqual(solution.gridChallenge([ 'eabcd', 'fghij', 'olkmn', 'trpqs', 'xywuv', ]), 'YES') def test_case_1(self): self.assertEqual(solution.gridChallenge([ 'abc', 'lmp', 'qrt', ]), 'YES') self.assertEqual(solution.gridChallenge([ 'mpxz', 'abcd', 'wlmf', ]), 'NO') self.assertEqual(solution.gridChallenge([ 'abc', 'hjk', 'mpq', 'rtv', ]), 'YES') if __name__ == '__main__': unittest.main()
20.108108
49
0.447581
58
744
5.534483
0.568966
0.186916
0.286604
0.448598
0.380062
0
0
0
0
0
0
0.004545
0.408602
744
36
50
20.666667
0.725
0
0
0.3
0
0
0.103495
0
0
0
0
0
0.133333
1
0.066667
false
0
0.066667
0
0.166667
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ebe4cd298b9e6dc16822359cf4915866e785000a
6,653
py
Python
test_python.py
lv43apo91/taxonomy
4d79b0e07a95699ad5501eeb6e4339aaade05857
[ "MIT" ]
22
2019-04-30T23:56:11.000Z
2021-12-16T09:39:25.000Z
test_python.py
lv43apo91/taxonomy
4d79b0e07a95699ad5501eeb6e4339aaade05857
[ "MIT" ]
26
2019-05-22T15:10:21.000Z
2021-10-20T16:16:10.000Z
test_python.py
lv43apo91/taxonomy
4d79b0e07a95699ad5501eeb6e4339aaade05857
[ "MIT" ]
4
2019-11-13T03:29:23.000Z
2021-09-08T13:40:49.000Z
import unittest from taxonomy import Taxonomy, TaxonomyError class NewickTestCase(unittest.TestCase): def _create_tax(self): # https://en.wikipedia.org/wiki/Newick_format#Examples return Taxonomy.from_newick("(A:0.1,B:0.2,(C:0.3,D:0.4)E:0.5)F;") def setUp(self) -> None: self.tax = self._create_tax() def test_root(self): root = self.tax.root self.assertEqual(root.id, "F") self.assertIsNone(root.parent) def test_find_node_by_id(self): node = self.tax.node("A") self.assertEqual(node.id, "A") self.assertEqual(node.parent, "F") node = self.tax.node("D") self.assertEqual(node.id, "D") self.assertEqual(node.parent, "E") node = self.tax.node("unknown") self.assertIsNone(node) def test_index(self): node = self.tax["A"] self.assertEqual(node.id, "A") self.assertEqual(node.parent, "F") with self.assertRaises(TaxonomyError): _ = self.tax["unknown"] def test_find_by_name(self): # They are not named so we can't find anything by name node = self.tax.find_by_name("A") self.assertIsNone(node) def test_parent(self): parent = self.tax.parent("D") self.assertEqual(parent.id, "E") def test_parent_with_distance(self): parent, distance = self.tax.parent_with_distance("D") self.assertEqual(parent.id, "E") # Float precision issue # 0.4 becomes 0.4000000059604645 self.assertAlmostEqual(distance, 0.4) def test_children(self): children = self.tax.children("E") self.assertEqual(len(children), 2) self.assertEqual(children[0].id, "C") self.assertEqual(children[1].id, "D") def test_lineage(self): lineage = self.tax.lineage("D") self.assertEqual(len(lineage), 3) self.assertEqual(lineage[0].id, "D") self.assertEqual(lineage[1].id, "E") self.assertEqual(lineage[2].id, "F") def test_parents(self): lineage = self.tax.parents("D") self.assertEqual(len(lineage), 2) self.assertEqual(lineage[0].id, "E") self.assertEqual(lineage[1].id, "F") def test_lca(self): lca = self.tax.lca("A", "D") self.assertEqual(lca.id, "F") def test_prune(self): new_tax = self.tax.prune(remove=["E"]) self.assertIsNone(new_tax.node("D")) self.assertIsNone(new_tax.node("E")) # We removed a leaf self.assertEqual(len(new_tax), 3) new_tax = self.tax.prune(keep=["E", "D"]) self.assertEqual(len(new_tax), 3) self.assertIsNotNone(new_tax.node("F")) def test_remove(self): tax = self._create_tax() tax.remove_node("E") self.assertIsNotNone(tax.node("D")) self.assertIsNone(tax.node("E")) self.assertEqual(len(tax), 5) def test_add(self): tax = self._create_tax() tax.add_node("D", "G") node = tax["G"] self.assertEqual(node.parent, "D") def test_edit_node(self): tax = self._create_tax() tax.edit_node("D", parent_distance=3) node, distance = tax.parent_with_distance("D") self.assertEqual(distance, 3) class NCBITestCase(unittest.TestCase): def _create_tax(self): return Taxonomy.from_ncbi("tests/data/ncbi_subset_tax.nodes.dmp", "tests/data/ncbi_subset_tax.names.dmp") def setUp(self) -> None: self.tax = self._create_tax() def test_root(self): root = self.tax.root self.assertEqual(root.id, "1") self.assertIsNone(root.parent) def test_find_node_by_id(self): node = self.tax.node("1236") self.assertEqual(node.id, "1236") self.assertEqual(node.name, "Gammaproteobacteria") self.assertEqual(node.parent, "1224") node = self.tax.node("unknown") self.assertIsNone(node) def test_index(self): node = self.tax["1236"] self.assertEqual(node.id, "1236") self.assertEqual(node.name, "Gammaproteobacteria") self.assertEqual(node.parent, "1224") with self.assertRaises(TaxonomyError): _ = self.tax["unknown"] def test_find_by_name(self): node = self.tax.find_by_name("Escherichia coli") self.assertEqual(node.id, "562") self.assertEqual(node.name, "Escherichia coli") self.assertEqual(node.parent, "561") def test_parent(self): parent = self.tax.parent("562") self.assertEqual(parent.id, "561") def test_parent_with_distance(self): parent, distance = self.tax.parent_with_distance("562") self.assertEqual(parent.id, "561") # Float precision issue # 0.4 becomes 0.4000000059604645 self.assertAlmostEqual(distance, 1.0) def test_children(self): children = self.tax.children("561") self.assertEqual(len(children), 1) self.assertEqual(children[0].id, "562") def test_lineage(self): lineage = self.tax.lineage("562") self.assertEqual(len(lineage), 9) self.assertEqual(lineage[0].id, "562") self.assertEqual(lineage[1].id, "561") self.assertEqual(lineage[-1].id, "1") def test_parents(self): lineage = self.tax.parents("562") self.assertEqual(len(lineage), 8) self.assertEqual(lineage[0].id, "561") self.assertEqual(lineage[-1].id, "1") def test_lca(self): lca = self.tax.lca("562", "91347") self.assertEqual(lca.id, "91347") def test_prune(self): new_tax = self.tax.prune(remove=["561"]) self.assertIsNone(new_tax.node("561")) self.assertIsNone(new_tax.node("562")) self.assertEqual(len(new_tax), 7) new_tax = self.tax.prune(keep=["561"]) self.assertEqual(len(new_tax), 8) self.assertIsNotNone(new_tax.node("561")) @unittest.skip("tax.remove doesn't work on truncated taxonomies?") def test_remove(self): tax = self._create_tax() tax.remove_node("561") self.assertIsNotNone(tax.node("562")) self.assertIsNone(tax.node("561")) self.assertEqual(len(tax), 8) def test_add(self): tax = self._create_tax() tax.add_node("561", "563") node = tax["563"] self.assertEqual(node.parent, "561") def test_edit_node(self): tax = self._create_tax() tax.edit_node("562", parent_distance=3) node, distance = tax.parent_with_distance("562") self.assertEqual(distance, 3) if __name__ == '__main__': unittest.main()
31.530806
113
0.610852
864
6,653
4.570602
0.125
0.197518
0.081793
0.034439
0.794378
0.641935
0.544442
0.513041
0.423905
0.399595
0
0.04
0.240944
6,653
210
114
31.680952
0.74198
0.03427
0
0.471698
0
0.006289
0.066085
0.016521
0
0
0
0
0.446541
1
0.201258
false
0
0.012579
0.012579
0.238994
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
1
0
1
0
0
0
0
0
0
0
2
cce2a7d65eea02cad9dc11c2836ca48eb1917f3b
498
py
Python
Implementations/DivideAndConquerRunner.py
joakiti/Benchmark-SubsetSums
a875b5adf7f800d26b73516452904031c73ec29d
[ "MIT" ]
null
null
null
Implementations/DivideAndConquerRunner.py
joakiti/Benchmark-SubsetSums
a875b5adf7f800d26b73516452904031c73ec29d
[ "MIT" ]
null
null
null
Implementations/DivideAndConquerRunner.py
joakiti/Benchmark-SubsetSums
a875b5adf7f800d26b73516452904031c73ec29d
[ "MIT" ]
null
null
null
import math from Implementations.Interfaces.IDeterministicAlgorithm import IDeterministicAlgorithm from Implementations.helpers import Helper from Implementations.helpers.Helper import ListToPolynomial, toNumbers, sumSet class DivideAndConquerRunner(IDeterministicAlgorithm): def __init__(self, label, benchmarkMode=False): self.label = label self.benchmarkMode = benchmarkMode def run(cls, values, target): return Helper.divideAndConquerSumSet(values, target)
31.125
86
0.797189
46
498
8.543478
0.543478
0.145038
0.132316
0
0
0
0
0
0
0
0
0
0.144578
498
15
87
33.2
0.922535
0
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0.4
0.1
0.8
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
1
0
1
0
0
2
ccf238b87463d35c2dcd19af35e3b5a6ca0b523a
287
py
Python
core/faces/typing.py
weima/pytorch-study-notes
dd01f70a617042842483bc8ff1ea12aa3c46f197
[ "MIT" ]
null
null
null
core/faces/typing.py
weima/pytorch-study-notes
dd01f70a617042842483bc8ff1ea12aa3c46f197
[ "MIT" ]
null
null
null
core/faces/typing.py
weima/pytorch-study-notes
dd01f70a617042842483bc8ff1ea12aa3c46f197
[ "MIT" ]
null
null
null
import dataclasses from dataclasses import dataclass from typing import List import numpy as np @dataclass class Sample: image: np.ndarray landmarks: np.ndarray def samples_to_dicts(samples: List[Sample]): for sample in samples: yield dataclasses.asdict(sample)
16.882353
44
0.752613
38
287
5.631579
0.578947
0.084112
0
0
0
0
0
0
0
0
0
0
0.191638
287
16
45
17.9375
0.922414
0
0
0
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.363636
0
0.727273
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
1
0
1
0
0
2
69008a5fb11a2198868599f384214b25973a3737
3,130
py
Python
comcenter/comcenter/model/coredb.py
tongpa/bantak_program
66edfe225e8018f65c9c5a6cd7745c17ba557bd5
[ "Apache-2.0" ]
null
null
null
comcenter/comcenter/model/coredb.py
tongpa/bantak_program
66edfe225e8018f65c9c5a6cd7745c17ba557bd5
[ "Apache-2.0" ]
null
null
null
comcenter/comcenter/model/coredb.py
tongpa/bantak_program
66edfe225e8018f65c9c5a6cd7745c17ba557bd5
[ "Apache-2.0" ]
null
null
null
import os from datetime import datetime import sys try: from hashlib import sha1 except ImportError: sys.exit('ImportError: No module named hashlib\n' 'If you are on python2.4 this library is not part of python. ' 'Please install it. Example: easy_install hashlib') from sqlalchemy import Table, ForeignKey, Column from sqlalchemy.types import Unicode, Integer, DateTime, String, Text from sqlalchemy.orm import relation, synonym from comcenter.model import DeclarativeBase, metadata, DBSession __all__ = [ 'Division', 'Department','Section'] class Division(DeclarativeBase): __tablename__ = 'division' division_id = Column(Integer, autoincrement=True, primary_key=True); description = Column(String(255), unique=True, nullable=False); def __init__(self): self.division_id = None; self.description = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).all(); class Department(DeclarativeBase): __tablename__ = 'department' department_id = Column(Integer, autoincrement=True, primary_key=True); description = Column(String(255), unique=True, nullable=False); def __init__(self): self.department_id = None; self.description = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).all(); class Section(DeclarativeBase): __tablename__ = 'section' section_id = Column(Integer, autoincrement=True, primary_key=True); description = Column(String(255), unique=True, nullable=False); division_id = Column( Integer,ForeignKey('division.division_id'), nullable=False, index=True) ; division = relation('Division', backref='section'); def __init__(self): self.department_id = None; self.description = None; self.division_id = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listByDivision(cls,division): return DBSession.query(cls).filter( cls.division_id==str(division) ).order_by(cls.section_id ).all(); @classmethod def listAll(cls): return DBSession.query(cls).all();
29.809524
110
0.632588
339
3,130
5.710914
0.265487
0.100723
0.072314
0.083161
0.579545
0.579545
0.579545
0.579545
0.579545
0.553719
0
0.005159
0.256869
3,130
105
111
29.809524
0.827171
0
0
0.674699
0
0
0.073778
0
0
0
0
0
0
1
0.228916
false
0
0.120482
0.084337
0.60241
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
1
0
0
0
0
1
0
0
2
6901d087c7e0ea1d3bce4ceca77ba5dcd9b32b28
1,182
py
Python
fizzbuzz.py
mariusavram91/python_collection
eade5a79e1b0d28d2f90411092f9fbaa5e633d57
[ "MIT" ]
null
null
null
fizzbuzz.py
mariusavram91/python_collection
eade5a79e1b0d28d2f90411092f9fbaa5e633d57
[ "MIT" ]
null
null
null
fizzbuzz.py
mariusavram91/python_collection
eade5a79e1b0d28d2f90411092f9fbaa5e633d57
[ "MIT" ]
null
null
null
#!/usr/bin/python3 import unittest ''' Write a program that: for multiples of three returns “Fizz” instead of the number and for the multiples of five returns “Buzz”. For numbers which are multiples of both three and five returns “FizzBuzz”. For the rest it returns the number. ''' def fizzbuzz(number): if number % 3 == 0 and number % 5 == 0: return 'FizzBuzz' elif number % 3 == 0: return 'Fizz' elif number % 5 == 0: return 'Buzz' else: return str(number) class FizzBuzzTest(unittest.TestCase): def setup(self): pass def test_fizzbuzz_for_3(self): self.assertEqual(fizzbuzz(3), 'Fizz') def test_fizzbuzz_for_5(self): self.assertEqual(fizzbuzz(5), 'Buzz') def test_fizzbuzz_for_multiple_of_3(self): self.assertEqual(fizzbuzz(9), 'Fizz') def test_fizzbuzz_for_multiple_of_5(self): self.assertEqual(fizzbuzz(10), 'Buzz') def test_fizzbuzz_for_multiple_of_3_and_5(self): self.assertEqual(fizzbuzz(15), 'FizzBuzz') def test_fizzbuzz_for_other_number(self): self.assertEqual(fizzbuzz(7), '7') if __name__ == '__main__': unittest.main()
24.625
74
0.667513
163
1,182
4.625767
0.325153
0.102122
0.119363
0.143236
0.343501
0.124668
0.087533
0.087533
0
0
0
0.026144
0.22335
1,182
47
75
25.148936
0.795207
0.014382
0
0
0
0
0.053377
0
0
0
0
0
0.222222
1
0.296296
false
0.037037
0.037037
0
0.518519
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
1
0
0
0
0
1
0
0
2
6906a89ef2dede9ab5512f5f08d32397ad287749
365
py
Python
python/testData/paramInfo/DataclassesReplace/a.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/paramInfo/DataclassesReplace/a.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/paramInfo/DataclassesReplace/a.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
from dataclasses import dataclass, field, InitVar, replace @dataclass class A: a: int b: str = "str" replace(A(1), <arg1>) @dataclass class B: a: int b: str = field(default="str", init=False) replace(B(1), <arg2>) @dataclass class C: a: int b: InitVar[str] = "str" replace(C(1), <arg3>) class D: pass replace(D(), <arg4>)
10.428571
58
0.591781
54
365
4
0.425926
0.194444
0.069444
0.074074
0
0
0
0
0
0
0
0.025362
0.243836
365
35
59
10.428571
0.757246
0
0
0.315789
0
0
0.02459
0
0
0
0
0
0
0
null
null
0.052632
0.052632
null
null
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
1
0
0
1
0
0
0
0
0
2
690dee641fb6a26f62680062e50b11e5a270ddf6
263
py
Python
make/__main__.py
rolandgeider/OpenSlides
331141c17cb23da26e377d4285efdb4a50753a59
[ "MIT" ]
null
null
null
make/__main__.py
rolandgeider/OpenSlides
331141c17cb23da26e377d4285efdb4a50753a59
[ "MIT" ]
null
null
null
make/__main__.py
rolandgeider/OpenSlides
331141c17cb23da26e377d4285efdb4a50753a59
[ "MIT" ]
null
null
null
import sys import commands # noqa from parser import parser if len(sys.argv) < 2: args = parser.parse_args(['--help']) else: args = parser.parse_args() # Runs the command end exits the script with the return-code of the command exit(args.func(args))
18.785714
75
0.707224
42
263
4.380952
0.619048
0.108696
0.163043
0.206522
0
0
0
0
0
0
0
0.004673
0.186312
263
13
76
20.230769
0.85514
0.296578
0
0
0
0
0.032967
0
0
0
0
0
0
1
0
false
0
0.375
0
0.375
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
2
6948849c021d860114868e9675882e3bbf15fe42
6,283
py
Python
configs/config.py
Droliven/MSRGCN
5d8d8e3365d3b23ca2ac734ace7e84135a6e3a9e
[ "MIT" ]
28
2021-08-21T12:02:12.000Z
2022-03-07T03:54:55.000Z
configs/config.py
Droliven/MSRGCN
5d8d8e3365d3b23ca2ac734ace7e84135a6e3a9e
[ "MIT" ]
6
2021-09-07T03:05:51.000Z
2022-02-24T03:00:04.000Z
configs/config.py
Droliven/MSRGCN
5d8d8e3365d3b23ca2ac734ace7e84135a6e3a9e
[ "MIT" ]
6
2021-08-21T12:02:16.000Z
2021-11-22T14:22:57.000Z
#!/usr/bin/env python # encoding: utf-8 ''' @project : MSRGCN @file : config.py @author : Droliven @contact : droliven@163.com @ide : PyCharm @time : 2021-07-27 16:56 ''' import os import getpass import torch import numpy as np class Config(): def __init__(self, exp_name="h36m", input_n=10, output_n=10, dct_n=15, device="cuda:0", num_works=0, test_manner="all"): self.platform = getpass.getuser() assert exp_name in ["h36m", "cmu", "3dpw"] self.exp_name = exp_name self.p_dropout = 0.1 self.train_batch_size = 16 self.test_batch_size = 128 self.lr = 2e-4 self.lr_decay = 0.98 self.n_epoch = 5000 self.leaky_c = 0.2 self.test_manner = test_manner self.input_n = input_n self.output_n = output_n self.seq_len = input_n + output_n self.dct_n = dct_n if self.output_n == 25: self.frame_ids = [1, 3, 7, 9, 13, 24] elif self.output_n == 10: self.frame_ids = [1, 3, 7, 9] if exp_name == "h36m": self.origin_noden = 32 self.final_out_noden = 22 self.dim_used_3d = [2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 17, 18, 19, 21, 22, 25, 26, 27, 29, 30] self.dim_repeat_22 = [9, 9, 14, 16, 19, 21] self.dim_repeat_32 = [16, 24, 20, 23, 28, 31] self.Index2212 = [[0], [1, 2, 3], [4], [5, 6, 7], [8, 9], [10, 11], [12], [13], [14, 15, 16], [17], [18], [19, 20, 21]] self.Index127 = [[0, 1], [2, 3], [4, 5], [6, 7], [7, 8], [9, 10], [10, 11]] self.Index74 = [[0, 2], [1, 2], [3, 4], [5, 6]] self.I32_plot = np.array( [0, 1, 2, 3, 4, 0, 6, 7, 8, 9, 0, 11, 12, 13, 14, 12, 16, 17, 18, 19, 20, 19, 22, 12, 24, 25, 26, 27, 28, 27, 30]) self.J32_plot = np.array( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) self.LR32_plot = np.array( [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0]) self.I22_plot = np.array([8, 0, 1, 2, 8, 4, 5, 6, 8, 9, 10, 9, 12, 13, 14, 14, 9, 17, 18, 19, 19]) self.J22_plot = np.array([0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]) self.LR22_plot = np.array([0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) self.I12_plot = np.array([4, 0, 4, 2, 4, 4, 6, 7, 4, 9, 10]) self.J12_plot = np.array([0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11]) self.LR12_plot = np.array([0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0]) self.I7_plot = np.array([2, 2, 2, 3, 2, 5]) self.J7_plot = np.array([0, 1, 3, 4, 5, 6]) self.LR7_plot = np.array([0, 1, 1, 1, 0, 0]) self.I4_plot = np.array([0, 1]) self.J4_plot = np.array([3, 2]) self.LR4_plot = np.array([0, 1]) elif exp_name == "cmu": self.origin_noden = 38 self.final_out_noden = 25 self.dim_used_3d = [3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 17, 18, 19, 21, 22, 23, 25, 26, 28, 30, 31, 32, 34, 35, 37] self.dim_repeat_22 = [9, 9, 9, 15, 15, 21, 21] self.dim_repeat_32 = [16, 20, 29, 24, 27, 33, 36] self.Index2212 = [[0], [1, 2, 3], [4], [5, 6, 7], [8, 9], [10, 11, 12], [13], [14, 15], [16, 17, 18], [19], [20, 21], [22, 23, 24]] # 其实是 Index2512, 为了保持统一没改名 self.Index127 = [[0, 1], [2, 3], [4, 5], [6, 7], [7, 8], [9, 10], [10, 11]] self.Index74 = [[0, 2], [1, 2], [3, 4], [5, 6]] self.Index2510 = [[0], [1, 2, 3], [4], [5, 6, 7], [8, 9], [10, 11, 12], [14, 15], [16, 17, 18], [20, 21], [22, 23, 24]] self.Index105 = [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]] self.Index53 = [[2], [0, 3], [1, 4]] self.I32_plot = np.array( [0, 1, 2, 3, 4, 5, 0, 7, 8, 9, 10, 11, 0, 13, 14, 15, 16, 17, 18, 16, 20, 21, 22, 23, 24, 25, 23, 27, 16, 29, 30, 31, 32, 33, 34, 32, 36]) self.J32_plot = np.array( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37]) self.LR32_plot = np.array( [0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1]) self.I22_plot = np.array([8, 0, 1, 2, 8, 4, 5, 6, 8, 9, 10, 11, 9, 13, 14, 15, 16, 15, 9, 19, 20, 21, 22, 21]) self.J22_plot = np.array([0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]) self.LR22_plot = np.array([0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]) self.I12_plot = np.array([4, 0, 4, 2, 4, 4, 6, 7, 4, 9, 10]) self.J12_plot = np.array([0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11]) self.LR12_plot = np.array([0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1]) self.I7_plot = np.array([2, 2, 2, 3, 2, 5]) self.J7_plot = np.array([0, 1, 3, 4, 5, 6]) self.LR7_plot = np.array([0, 1, 0, 0, 1, 1]) self.I4_plot = np.array([0, 1]) self.J4_plot = np.array([2, 3]) self.LR4_plot = np.array([0, 1]) self.device = device self.num_works = num_works self.ckpt_dir = os.path.join("./ckpt/", exp_name, "short_term" if self.output_n==10 else "long_term") if not os.path.exists(os.path.join(self.ckpt_dir, "models")): os.makedirs(os.path.join(self.ckpt_dir, "models")) if not os.path.exists(os.path.join(self.ckpt_dir, "images")): os.makedirs(os.path.join(self.ckpt_dir, "images")) if self.exp_name == "h36m": self.base_data_dir = os.path.join("F:\model_report_data\mocap_motion_prediction\data\human36mData3D\others", "h3.6m\dataset") elif self.exp_name == "cmu": self.base_data_dir = os.path.join("F:\model_report_data\mocap_motion_prediction", "data\cmu")
45.201439
171
0.464746
1,155
6,283
2.432035
0.148918
0.04628
0.052332
0.052688
0.61659
0.604842
0.550374
0.504094
0.481666
0.48131
0
0.256973
0.332325
6,283
138
172
45.528986
0.412634
0.031036
0
0.237624
0
0
0.036872
0.01893
0
0
0
0
0.009901
1
0.009901
false
0.019802
0.039604
0
0.059406
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
696fe869b2a3e6bf203dc4bdbaa1342bd17b746c
286
py
Python
tinyurl_ga/main.py
tinyurl-ga/tinyurl-ga.py
3fd49c59b58abeb449fe549b5b6a566d2edbd7ef
[ "MIT" ]
null
null
null
tinyurl_ga/main.py
tinyurl-ga/tinyurl-ga.py
3fd49c59b58abeb449fe549b5b6a566d2edbd7ef
[ "MIT" ]
null
null
null
tinyurl_ga/main.py
tinyurl-ga/tinyurl-ga.py
3fd49c59b58abeb449fe549b5b6a566d2edbd7ef
[ "MIT" ]
null
null
null
import requests def create(url): r = requests.post("https://tinyurl.ga/api", json = {"url": url}) return result(r.json()) class result: def __init__(self, data): self.data = data @property def url(self) -> str: return self.data["url"]
20.428571
68
0.56993
37
286
4.297297
0.540541
0.150943
0
0
0
0
0
0
0
0
0
0
0.276224
286
13
69
22
0.768116
0
0
0
0
0
0.097902
0
0
0
0
0
0
1
0.3
false
0
0.1
0.1
0.7
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
1
0
0
0
0
1
0
0
2
15db193eb5c1ac77701395d869f59f2883a41a43
411
py
Python
Task1F.py
GODWINGZZ/IA-floodrisk-system-project
cc57b4148eabc25c4d0756d0bcb2260b236f72e3
[ "MIT" ]
null
null
null
Task1F.py
GODWINGZZ/IA-floodrisk-system-project
cc57b4148eabc25c4d0756d0bcb2260b236f72e3
[ "MIT" ]
null
null
null
Task1F.py
GODWINGZZ/IA-floodrisk-system-project
cc57b4148eabc25c4d0756d0bcb2260b236f72e3
[ "MIT" ]
null
null
null
from floodsystem.station import inconsistent_typical_range_stations from floodsystem.stationdata import build_station_list def run(): temp=inconsistent_typical_range_stations(build_station_list()) x=[] for i in range(len(temp)): x.append(temp[i].name) x.sort() print(x) if __name__ == "__main__": print("*** Task 1F: CUED Part IA Flood Warning System ***") run()
21.631579
67
0.686131
54
411
4.888889
0.611111
0.113636
0.181818
0.242424
0
0
0
0
0
0
0
0.00304
0.199513
411
18
68
22.833333
0.799392
0
0
0
0
0
0.141463
0
0
0
0
0
0
1
0.083333
false
0
0.166667
0
0.25
0.166667
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
15ef60595795d41ff43b512f6c61622ff5aa9a68
346
py
Python
vvs_data/pimpNumbers.py
acmngmbh/metaEFA
9f0b448647571808f0982f1b1fd364bb8d1997a0
[ "MIT" ]
27
2015-06-07T15:27:36.000Z
2021-02-09T09:12:30.000Z
vvs_data/pimpNumbers.py
acmngmbh/metaEFA
9f0b448647571808f0982f1b1fd364bb8d1997a0
[ "MIT" ]
17
2015-06-06T23:06:52.000Z
2020-10-13T12:47:56.000Z
vvs_data/pimpNumbers.py
acmngmbh/metaEFA
9f0b448647571808f0982f1b1fd364bb8d1997a0
[ "MIT" ]
12
2015-09-22T16:45:04.000Z
2022-01-08T16:06:19.000Z
f = open("HaltestellenVVS_simplified_utf8.csv", "r") r = open("HaltestellenVVS_simplified_utf8_stationID.csv", "w") r.write(f.readline()) lines = f.readlines() for line in lines: stationID = line.split(",")[0] newStationID = int(stationID)+5000000 outLine = str(newStationID) + line[len(stationID):] r.write(outLine) r.close() f.close()
21.625
62
0.713873
47
346
5.148936
0.531915
0.157025
0.239669
0.272727
0
0
0
0
0
0
0
0.032573
0.112717
346
15
63
23.066667
0.7557
0
0
0
0
0
0.239884
0.231214
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
15fecc775b5dd5739ce5cd955e567720f0753cb0
1,659
py
Python
lib/extensions/add_sidebar/script.py
neurodiverseEsoteric/nimbus
a79a37d6001d84116831c9f3f99f5d9acfa7fd19
[ "CC-BY-3.0" ]
3
2015-11-04T10:48:12.000Z
2020-07-12T06:46:27.000Z
lib/extensions/add_sidebar/script.py
esotericDisciple/nimbus
a79a37d6001d84116831c9f3f99f5d9acfa7fd19
[ "CC-BY-3.0" ]
null
null
null
lib/extensions/add_sidebar/script.py
esotericDisciple/nimbus
a79a37d6001d84116831c9f3f99f5d9acfa7fd19
[ "CC-BY-3.0" ]
1
2021-05-05T13:56:49.000Z
2021-05-05T13:56:49.000Z
name = QInputDialog.getText(self, "Name", "Enter the name of your sidebar here:") if name[1]: name = name[0] url = QInputDialog.getText(self, "URL", "Enter the URL of your sidebar here:") if url[1]: url = url[0] common.sidebar_maker_path = os.path.join(settings.extensions_folder, name.lower().replace(" ", "_") + "_sidebar") if not os.path.exists(common.sidebar_maker_path): os.mkdir(common.sidebar_maker_path) common.sidebar_maker_icon_loader = WebView(None) common.sidebar_maker_icon_loader.load(QUrl(url)) common.sidebar_maker_icon_loader.iconChanged.connect(lambda: common.sidebar_maker_icon_loader.icon().pixmap(16, 16).save(os.path.join(common.sidebar_maker_path, "icon.png"))) common.sidebar_maker_icon_loader.iconChanged.connect(common.sidebar_maker_icon_loader.deleteLater) try: f = open(os.path.join(common.sidebar_maker_path, "script.py"), "w") except: pass else: try: f.write("""name = "%(name)s" url = "%(url)s" clip = "%(clip)s" ua = "Mozilla/5.0 (Linux; U; Android 2.3.5; en-us) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1" style1 = os.path.join(settings.extensions_folder, self.name, "style.css") style = style1 if os.path.isfile(style1) else None if not self.isCheckable(): self.setCheckable(True) self.setChecked(True) if not self.parentWindow().hasSideBar(name): self.parentWindow().addSideBar(name, url, clip, ua, style=style) else: self.parentWindow().toggleSideBar(name)""" % {"name": name, "url": url, "clip": url.split(".")[1]}) except: pass f.close()
51.84375
182
0.677517
235
1,659
4.646809
0.365957
0.130952
0.181319
0.120879
0.384615
0.205128
0.142857
0
0
0
0
0.019579
0.168776
1,659
31
183
53.516129
0.772299
0
0
0.129032
0
0.064516
0.398433
0.131404
0
0
0
0
0
1
0
false
0.064516
0
0
0
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
c60c6adc315bdabfe47f6496bd55d19acfacb60b
228
py
Python
scripts/NavPy/wgs84.py
AuraUAS/aura-core
4711521074db72ba9089213e14455d89dc5306c0
[ "MIT", "BSD-2-Clause-FreeBSD" ]
8
2016-08-03T19:35:03.000Z
2019-12-15T06:25:05.000Z
scripts/NavPy/wgs84.py
jarilq/aura-core
7880ed265396bf8c89b783835853328e6d7d1589
[ "MIT", "BSD-2-Clause-FreeBSD" ]
4
2018-09-27T15:48:56.000Z
2018-11-05T12:38:10.000Z
scripts/NavPy/wgs84.py
jarilq/aura-core
7880ed265396bf8c89b783835853328e6d7d1589
[ "MIT", "BSD-2-Clause-FreeBSD" ]
5
2017-06-28T19:15:36.000Z
2020-02-19T19:31:24.000Z
""" WGS84 constants Reference: Paul Groves http://www.oosa.unvienna.org/pdf/icg/2012/template/WGS_84.pdf """ R0 = 6378137.0 f = 298.257223563 omega_E = 7.2921151467e-5 GM = 3.986005e14 ecc = 0.0818191908425 Rp = 6356752.314245
16.285714
61
0.741228
37
228
4.513514
0.945946
0
0
0
0
0
0
0
0
0
0
0.383085
0.118421
228
14
62
16.285714
0.447761
0.438596
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c61050d700c49239f732a45d165297820f507473
252
py
Python
eetfestijn/urls.py
thaliawww/eetFestijn
6da04cb626f66b3aef55dbea6ca690ced674dd8f
[ "CC0-1.0" ]
1
2018-10-11T16:46:40.000Z
2018-10-11T16:46:40.000Z
eetfestijn/urls.py
thaliawww/eetFestijn
6da04cb626f66b3aef55dbea6ca690ced674dd8f
[ "CC0-1.0" ]
47
2018-06-11T13:55:41.000Z
2019-10-23T19:29:37.000Z
eetfestijn/urls.py
thaliawww/eetFestijn
6da04cb626f66b3aef55dbea6ca690ced674dd8f
[ "CC0-1.0" ]
null
null
null
from django.conf.urls import include from django.contrib import admin from django.urls import path urlpatterns = [ path('admin/', admin.site.urls), path('wiebetaaltwat/', include('wiebetaaltwat.urls')), path('', include('orders.urls')), ]
25.2
58
0.706349
31
252
5.741935
0.419355
0.168539
0
0
0
0
0
0
0
0
0
0
0.138889
252
9
59
28
0.820277
0
0
0
0
0
0.194444
0
0
0
0
0
0
1
0
false
0
0.375
0
0.375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
2
c6123110a11c361c9b8b888f57e546575e2ba621
1,190
py
Python
tests/python/interface_spec_parser.py
tblink-rpc/tblink-rpc-core
4daac39138930a726014914952047708162c3451
[ "Apache-2.0" ]
1
2022-03-30T11:58:00.000Z
2022-03-30T11:58:00.000Z
tests/python/interface_spec_parser.py
tblink-rpc/tblink-rpc-core
4daac39138930a726014914952047708162c3451
[ "Apache-2.0" ]
null
null
null
tests/python/interface_spec_parser.py
tblink-rpc/tblink-rpc-core
4daac39138930a726014914952047708162c3451
[ "Apache-2.0" ]
null
null
null
''' Created on Oct 16, 2021 @author: mballance ''' import yaml from unittest.case import TestCase from _io import StringIO from tblink_rpc.yaml_idl_parser import YamlIDLParser class InterfaceSpecParser(TestCase): def test_smoke(self): spec = """ interface-types: - my_if1: methods: - a: is-export: True is-blocking: True returns: uint16 parameters: - a: uint32 - a: uint64 - b: is-export: False is-blocking: True - my_if2: methods: - a: is-export: True is-blocking: True returns: uint32 parameters: - b: is-export: False is-blocking: True """ in_d = StringIO(spec) YamlIDLParser().parse(in_d) pass
25.319149
52
0.37563
89
1,190
4.921348
0.550562
0.073059
0.127854
0.073059
0.315068
0.315068
0.315068
0.187215
0.187215
0
0
0.030829
0.563866
1,190
47
53
25.319149
0.813102
0.036134
0
0.470588
0
0
0.69386
0
0
0
0
0
0
1
0.029412
false
0.029412
0.117647
0
0.176471
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c613462b79d1e9e0120f79d43ba863f0e76dca92
2,081
py
Python
tests/test_queryable_intersect.py
dlshriver/Queryable
0975f2687213958121ea4ac7efbaee9030193917
[ "MIT" ]
5
2016-04-04T16:49:11.000Z
2020-10-12T13:00:06.000Z
tests/test_queryable_intersect.py
dlshriver/Queryable
0975f2687213958121ea4ac7efbaee9030193917
[ "MIT" ]
3
2016-04-08T16:13:54.000Z
2022-02-03T15:23:48.000Z
tests/test_queryable_intersect.py
dlshriver/pinq
0975f2687213958121ea4ac7efbaee9030193917
[ "MIT" ]
null
null
null
import unittest import pinq class queryable_intersect_tests(unittest.TestCase): def setUp(self): self.queryable1 = pinq.as_queryable(range(1, 11)) self.queryable2 = pinq.as_queryable(range(3, 8, 2)) self.queryable3 = pinq.as_queryable(range(100, 110)) self.queryable4 = pinq.as_queryable( list(range(3, 8, 2)) + list(range(3, 8, 2))) def test_intersect_some(self): self.assertEqual( list(self.queryable1.intersect(self.queryable2)), [3, 5, 7]) self.assertEqual( list(self.queryable2.intersect(self.queryable1)), [3, 5, 7]) def test_intersect_all(self): self.assertEqual( list(self.queryable2.intersect(self.queryable2)), [3, 5, 7]) def test_intersect_none(self): self.assertEqual( list(self.queryable1.intersect(self.queryable3)), []) def test_intersect_multiple_values(self): self.assertEqual( list(self.queryable1.intersect(self.queryable4)), [3, 5, 7]) self.assertEqual( list(self.queryable4.intersect(self.queryable1)), [3, 5, 7]) self.assertEqual( list(self.queryable4.intersect(self.queryable4)), [3, 5, 7]) def test_intersect_some_with_key_selector(self): self.assertEqual( list(self.queryable1.intersect(self.queryable2, lambda x: x % 2)), [1]) self.assertEqual( list(self.queryable2.intersect(self.queryable1, lambda x: x % 2)), [3]) def test_intersect_all_with_key_selector(self): self.assertEqual( list(self.queryable2.intersect(self.queryable2, lambda x: x * 2)), [3, 5, 7]) def test_intersect_none_with_key_selector(self): self.assertEqual( list(self.queryable1.intersect(self.queryable3, lambda x: x * 2)), []) def test_intersect_other_type_error(self): self.assertRaises(TypeError, self.queryable1.intersect, 1000) def test_intersect_key_selector_type_error(self): self.assertRaises(TypeError, self.queryable1.intersect, [1, 5], 100)
37.836364
89
0.654012
256
2,081
5.164063
0.175781
0.11649
0.158094
0.191377
0.723147
0.697428
0.645991
0.59531
0.461422
0.172466
0
0.050462
0.219125
2,081
54
90
38.537037
0.763077
0
0
0.261905
0
0
0
0
0
0
0
0
0.309524
1
0.238095
false
0
0.047619
0
0.309524
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
2
c616226388b3b622add402bfb1b5729dae3ebae0
8,546
py
Python
gjobs/bjobs_fields.py
vvolhejn/gjobs
e24270ed06ee4a57d72d7fc474b92b460d85caa3
[ "MIT" ]
null
null
null
gjobs/bjobs_fields.py
vvolhejn/gjobs
e24270ed06ee4a57d72d7fc474b92b460d85caa3
[ "MIT" ]
3
2022-03-29T11:54:31.000Z
2022-03-29T11:54:59.000Z
gjobs/bjobs_fields.py
vvolhejn/gjobs
e24270ed06ee4a57d72d7fc474b92b460d85caa3
[ "MIT" ]
null
null
null
# Parsed from https://www.ibm.com/docs/en/spectrum-lsf/10.1.0?topic=options-o bjobs_fields = [ {"name": "jobid", "width": 7, "aliases": "id", "unit": None}, {"name": "jobindex", "width": 8, "aliases": None, "unit": None}, {"name": "stat", "width": 5, "aliases": None, "unit": None}, {"name": "user", "width": 7, "aliases": None, "unit": None}, {"name": "user_group", "width": 15, "aliases": "ugroup", "unit": None}, {"name": "queue", "width": 10, "aliases": None, "unit": None}, {"name": "job_name", "width": 10, "aliases": "name", "unit": None}, {"name": "job_description", "width": 17, "aliases": "description", "unit": None}, {"name": "proj_name", "width": 11, "aliases": "proj, project", "unit": None}, {"name": "application", "width": 13, "aliases": "app", "unit": None}, {"name": "service_class", "width": 13, "aliases": "sla", "unit": None}, {"name": "job_group", "width": 10, "aliases": "group", "unit": None}, {"name": "job_priority", "width": 12, "aliases": "priority", "unit": None}, {"name": "rsvid", "width": 40, "aliases": None, "unit": None}, {"name": "esub", "width": 20, "aliases": None, "unit": None}, {"name": "kill_reason", "width": 50, "aliases": None, "unit": None}, {"name": "suspend_reason", "width": 50, "aliases": None, "unit": None}, {"name": "resume_reason", "width": 50, "aliases": None, "unit": None}, {"name": "kill_issue_host", "width": 50, "aliases": None, "unit": None}, {"name": "suspend_issue_host", "width": 50, "aliases": None, "unit": None}, {"name": "resume_issue_host", "width": 50, "aliases": None, "unit": None}, {"name": "dependency", "width": 15, "aliases": None, "unit": None}, {"name": "pend_reason", "width": 11, "aliases": None, "unit": None}, {"name": "charged_saap", "width": 50, "aliases": "saap", "unit": None}, {"name": "command", "width": 15, "aliases": "cmd", "unit": None}, {"name": "pre_exec_command", "width": 16, "aliases": "pre_cmd", "unit": None}, {"name": "post_exec_command", "width": 17, "aliases": "post_cmd", "unit": None}, { "name": "resize_notification_command", "width": 27, "aliases": "resize_cmd", "unit": None, }, {"name": "pids", "width": 20, "aliases": None, "unit": None}, {"name": "exit_code", "width": 10, "aliases": None, "unit": None}, {"name": "exit_reason", "width": 50, "aliases": None, "unit": None}, {"name": "interactive", "width": 11, "aliases": None, "unit": None}, {"name": "from_host", "width": 11, "aliases": None, "unit": None}, {"name": "first_host", "width": 11, "aliases": None, "unit": None}, {"name": "exec_host", "width": 11, "aliases": None, "unit": None}, {"name": "nexec_host", "width": 10, "aliases": None, "unit": None}, {"name": "ask_hosts", "width": 30, "aliases": None, "unit": None}, {"name": "alloc_slot", "width": 20, "aliases": None, "unit": None}, {"name": "nalloc_slot", "width": 10, "aliases": None, "unit": None}, {"name": "host_file", "width": 10, "aliases": None, "unit": None}, {"name": "exclusive", "width": 13, "aliases": None, "unit": None}, {"name": "nreq_slot", "width": 10, "aliases": None, "unit": None}, {"name": "submit_time", "width": 15, "aliases": None, "unit": "time stamp"}, {"name": "start_time", "width": 15, "aliases": None, "unit": "time stamp"}, { "name": "estimated_start_time", "width": 20, "aliases": "estart_time", "unit": "time stamp", }, { "name": "specified_start_time", "width": 20, "aliases": "sstart_time", "unit": "time stamp", }, { "name": "specified_terminate_time", "width": 24, "aliases": "sterminate_time", "unit": "time stamp", }, {"name": "time_left", "width": 11, "aliases": None, "unit": "seconds"}, {"name": "finish_time", "width": 16, "aliases": None, "unit": "time stamp"}, {"name": "estimated_run_time", "width": 20, "aliases": "ertime", "unit": "seconds"}, {"name": "ru_utime", "width": 12, "aliases": None, "unit": "seconds"}, {"name": "ru_stime", "width": 12, "aliases": None, "unit": "seconds"}, {"name": "%complete", "width": 11, "aliases": None, "unit": None}, {"name": "warning_action", "width": 15, "aliases": "warn_act", "unit": None}, {"name": "action_warning_time", "width": 19, "aliases": "warn_time", "unit": None}, {"name": "pendstate", "width": 9, "aliases": None, "unit": None}, {"name": "pend_time", "width": 12, "aliases": None, "unit": "seconds"}, {"name": "ependtime", "width": 12, "aliases": None, "unit": "seconds"}, {"name": "ipendtime", "width": 12, "aliases": None, "unit": "seconds"}, { "name": "estimated_sim_start_time", "width": 24, "aliases": "esstart_time", "unit": "time stamp", }, {"name": "effective_plimit", "width": 18, "aliases": None, "unit": "seconds"}, {"name": "plimit_remain", "width": 15, "aliases": None, "unit": "seconds"}, {"name": "effective_eplimit", "width": 19, "aliases": None, "unit": "seconds"}, {"name": "eplimit_remain", "width": 16, "aliases": None, "unit": "seconds"}, {"name": "cpu_used", "width": 10, "aliases": None, "unit": None}, {"name": "run_time", "width": 15, "aliases": None, "unit": "seconds"}, {"name": "idle_factor", "width": 11, "aliases": None, "unit": None}, {"name": "exception_status", "width": 16, "aliases": "except_stat", "unit": None}, {"name": "slots", "width": 5, "aliases": None, "unit": None}, {"name": "mem", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "max_mem", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "avg_mem", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "memlimit", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "swap", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "swaplimit", "width": 15, "aliases": None, "unit": "LSF_UNIT_FOR_LIMITS"}, {"name": "gpu_num", "width": 10, "aliases": "gnum", "unit": None}, {"name": "gpu_mode", "width": 20, "aliases": "gmode", "unit": None}, {"name": "j_exclusive", "width": 15, "aliases": "j_excl", "unit": None}, {"name": "gpu_alloc", "width": 30, "aliases": "galloc", "unit": None}, {"name": "nthreads", "width": 10, "aliases": None, "unit": None}, {"name": "hrusage", "width": 50, "aliases": None, "unit": None}, {"name": "min_req_proc", "width": 12, "aliases": None, "unit": None}, {"name": "max_req_proc", "width": 12, "aliases": None, "unit": None}, {"name": "effective_resreq", "width": 17, "aliases": "eresreq", "unit": None}, {"name": "combined_resreq", "width": 20, "aliases": "cresreq", "unit": None}, {"name": "network_req", "width": 15, "aliases": None, "unit": None}, {"name": "filelimit", "width": 10, "aliases": None, "unit": None}, {"name": "corelimit", "width": 15, "aliases": None, "unit": None}, {"name": "stacklimit", "width": 15, "aliases": None, "unit": None}, {"name": "processlimit", "width": 12, "aliases": None, "unit": None}, {"name": "runtimelimit", "width": 12, "aliases": None, "unit": None}, {"name": "plimit", "width": 10, "aliases": None, "unit": "seconds"}, {"name": "eplimit", "width": 10, "aliases": None, "unit": "seconds"}, {"name": "input_file", "width": 10, "aliases": None, "unit": None}, {"name": "output_file", "width": 11, "aliases": None, "unit": None}, {"name": "error_file", "width": 10, "aliases": None, "unit": None}, {"name": "output_dir", "width": 15, "aliases": None, "unit": None}, {"name": "sub_cwd", "width": 10, "aliases": None, "unit": None}, {"name": "exec_home", "width": 10, "aliases": None, "unit": None}, {"name": "exec_cwd", "width": 10, "aliases": None, "unit": None}, {"name": "licproject", "width": 20, "aliases": None, "unit": None}, {"name": "forward_cluster", "width": 15, "aliases": "fwd_cluster", "unit": None}, {"name": "forward_time", "width": 15, "aliases": "fwd_time", "unit": "time stamp"}, {"name": "srcjobid", "width": 8, "aliases": None, "unit": None}, {"name": "dstjobid", "width": 8, "aliases": None, "unit": None}, {"name": "source_cluster", "width": 15, "aliases": "srcluster", "unit": None}, {"name": "energy", "width": None, "aliases": None, "unit": "Joule"}, {"name": "gpfsio", "width": None, "aliases": None, "unit": None}, ]
62.379562
88
0.554294
1,009
8,546
4.576809
0.179386
0.136856
0.202685
0.222174
0.601343
0.530966
0.490689
0.2356
0.132092
0.056518
0
0.029533
0.175872
8,546
136
89
62.838235
0.626154
0.008776
0
0.059259
0
0
0.453655
0.008856
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c6205be2cfa6b29fe60a594c75286d9d4a14ee43
534
py
Python
catalogo/views/empleado_view.py
lp2-20172/polleria-serve
5383f4d1db46e4d41789b5773ee5383005687b45
[ "MIT" ]
null
null
null
catalogo/views/empleado_view.py
lp2-20172/polleria-serve
5383f4d1db46e4d41789b5773ee5383005687b45
[ "MIT" ]
2
2020-02-12T00:19:17.000Z
2020-06-05T18:06:26.000Z
catalogo/views/empleado_view.py
Chapi69/Server
d726a2ca04b792bf54457da1e591afcb4ed63a2f
[ "MIT" ]
null
null
null
from ..models_raiz import Empleado from rest_framework import serializers, viewsets from rest_framework import permissions from django.db.models import Q from operator import __or__ as OR from functools import reduce class EmpleadoSerializer(serializers.ModelSerializer): class Meta: model = Empleado fields = '__all__' #fields = ('id', 'username', 'email', 'is_staff') class EmpleadoViewSet(viewsets.ModelViewSet): queryset = Empleado.objects.all() serializer_class = EmpleadoSerializer
25.428571
57
0.745318
59
534
6.525424
0.59322
0.041558
0.088312
0.119481
0
0
0
0
0
0
0
0
0.181648
534
20
58
26.7
0.881007
0.089888
0
0
0
0
0.014433
0
0
0
0
0
0
1
0
false
0
0.461538
0
0.846154
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
1
0
1
0
0
2
c62c40b4b8384326bc3d93d07755839014c02a9e
14,534
py
Python
src/hedera_proto/custom_fees_pb2.py
HbarStudio/hedera-protobufs-python
f8a503d2c4c5b7c441ddf48607f7ee563b3f931a
[ "Apache-2.0" ]
null
null
null
src/hedera_proto/custom_fees_pb2.py
HbarStudio/hedera-protobufs-python
f8a503d2c4c5b7c441ddf48607f7ee563b3f931a
[ "Apache-2.0" ]
null
null
null
src/hedera_proto/custom_fees_pb2.py
HbarStudio/hedera-protobufs-python
f8a503d2c4c5b7c441ddf48607f7ee563b3f931a
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: custom_fees.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() import basic_types_pb2 as basic__types__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='custom_fees.proto', package='proto', syntax='proto3', serialized_options=b'\n\"com.hederahashgraph.api.proto.javaP\001', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x11\x63ustom_fees.proto\x12\x05proto\x1a\x11\x62\x61sic_types.proto\"\x85\x01\n\rFractionalFee\x12*\n\x11\x66ractional_amount\x18\x01 \x01(\x0b\x32\x0f.proto.Fraction\x12\x16\n\x0eminimum_amount\x18\x02 \x01(\x03\x12\x16\n\x0emaximum_amount\x18\x03 \x01(\x03\x12\x18\n\x10net_of_transfers\x18\x04 \x01(\x08\"I\n\x08\x46ixedFee\x12\x0e\n\x06\x61mount\x18\x01 \x01(\x03\x12-\n\x15\x64\x65nominating_token_id\x18\x02 \x01(\x0b\x32\x0e.proto.TokenID\"e\n\nRoyaltyFee\x12\x30\n\x17\x65xchange_value_fraction\x18\x01 \x01(\x0b\x32\x0f.proto.Fraction\x12%\n\x0c\x66\x61llback_fee\x18\x02 \x01(\x0b\x32\x0f.proto.FixedFee\"\xc6\x01\n\tCustomFee\x12$\n\tfixed_fee\x18\x01 \x01(\x0b\x32\x0f.proto.FixedFeeH\x00\x12.\n\x0e\x66ractional_fee\x18\x02 \x01(\x0b\x32\x14.proto.FractionalFeeH\x00\x12(\n\x0broyalty_fee\x18\x04 \x01(\x0b\x32\x11.proto.RoyaltyFeeH\x00\x12\x32\n\x18\x66\x65\x65_collector_account_id\x18\x03 \x01(\x0b\x32\x10.proto.AccountIDB\x05\n\x03\x66\x65\x65\"\xaf\x01\n\x11\x41ssessedCustomFee\x12\x0e\n\x06\x61mount\x18\x01 \x01(\x03\x12 \n\x08token_id\x18\x02 \x01(\x0b\x32\x0e.proto.TokenID\x12\x32\n\x18\x66\x65\x65_collector_account_id\x18\x03 \x01(\x0b\x32\x10.proto.AccountID\x12\x34\n\x1a\x65\x66\x66\x65\x63tive_payer_account_id\x18\x04 \x03(\x0b\x32\x10.proto.AccountIDB&\n\"com.hederahashgraph.api.proto.javaP\x01\x62\x06proto3' , dependencies=[basic__types__pb2.DESCRIPTOR,]) _FRACTIONALFEE = _descriptor.Descriptor( name='FractionalFee', full_name='proto.FractionalFee', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fractional_amount', full_name='proto.FractionalFee.fractional_amount', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='minimum_amount', full_name='proto.FractionalFee.minimum_amount', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='maximum_amount', full_name='proto.FractionalFee.maximum_amount', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='net_of_transfers', full_name='proto.FractionalFee.net_of_transfers', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=48, serialized_end=181, ) _FIXEDFEE = _descriptor.Descriptor( name='FixedFee', full_name='proto.FixedFee', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='amount', full_name='proto.FixedFee.amount', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='denominating_token_id', full_name='proto.FixedFee.denominating_token_id', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=183, serialized_end=256, ) _ROYALTYFEE = _descriptor.Descriptor( name='RoyaltyFee', full_name='proto.RoyaltyFee', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='exchange_value_fraction', full_name='proto.RoyaltyFee.exchange_value_fraction', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fallback_fee', full_name='proto.RoyaltyFee.fallback_fee', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=258, serialized_end=359, ) _CUSTOMFEE = _descriptor.Descriptor( name='CustomFee', full_name='proto.CustomFee', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fixed_fee', full_name='proto.CustomFee.fixed_fee', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fractional_fee', full_name='proto.CustomFee.fractional_fee', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='royalty_fee', full_name='proto.CustomFee.royalty_fee', index=2, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fee_collector_account_id', full_name='proto.CustomFee.fee_collector_account_id', index=3, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='fee', full_name='proto.CustomFee.fee', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=362, serialized_end=560, ) _ASSESSEDCUSTOMFEE = _descriptor.Descriptor( name='AssessedCustomFee', full_name='proto.AssessedCustomFee', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='amount', full_name='proto.AssessedCustomFee.amount', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='token_id', full_name='proto.AssessedCustomFee.token_id', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fee_collector_account_id', full_name='proto.AssessedCustomFee.fee_collector_account_id', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='effective_payer_account_id', full_name='proto.AssessedCustomFee.effective_payer_account_id', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=563, serialized_end=738, ) _FRACTIONALFEE.fields_by_name['fractional_amount'].message_type = basic__types__pb2._FRACTION _FIXEDFEE.fields_by_name['denominating_token_id'].message_type = basic__types__pb2._TOKENID _ROYALTYFEE.fields_by_name['exchange_value_fraction'].message_type = basic__types__pb2._FRACTION _ROYALTYFEE.fields_by_name['fallback_fee'].message_type = _FIXEDFEE _CUSTOMFEE.fields_by_name['fixed_fee'].message_type = _FIXEDFEE _CUSTOMFEE.fields_by_name['fractional_fee'].message_type = _FRACTIONALFEE _CUSTOMFEE.fields_by_name['royalty_fee'].message_type = _ROYALTYFEE _CUSTOMFEE.fields_by_name['fee_collector_account_id'].message_type = basic__types__pb2._ACCOUNTID _CUSTOMFEE.oneofs_by_name['fee'].fields.append( _CUSTOMFEE.fields_by_name['fixed_fee']) _CUSTOMFEE.fields_by_name['fixed_fee'].containing_oneof = _CUSTOMFEE.oneofs_by_name['fee'] _CUSTOMFEE.oneofs_by_name['fee'].fields.append( _CUSTOMFEE.fields_by_name['fractional_fee']) _CUSTOMFEE.fields_by_name['fractional_fee'].containing_oneof = _CUSTOMFEE.oneofs_by_name['fee'] _CUSTOMFEE.oneofs_by_name['fee'].fields.append( _CUSTOMFEE.fields_by_name['royalty_fee']) _CUSTOMFEE.fields_by_name['royalty_fee'].containing_oneof = _CUSTOMFEE.oneofs_by_name['fee'] _ASSESSEDCUSTOMFEE.fields_by_name['token_id'].message_type = basic__types__pb2._TOKENID _ASSESSEDCUSTOMFEE.fields_by_name['fee_collector_account_id'].message_type = basic__types__pb2._ACCOUNTID _ASSESSEDCUSTOMFEE.fields_by_name['effective_payer_account_id'].message_type = basic__types__pb2._ACCOUNTID DESCRIPTOR.message_types_by_name['FractionalFee'] = _FRACTIONALFEE DESCRIPTOR.message_types_by_name['FixedFee'] = _FIXEDFEE DESCRIPTOR.message_types_by_name['RoyaltyFee'] = _ROYALTYFEE DESCRIPTOR.message_types_by_name['CustomFee'] = _CUSTOMFEE DESCRIPTOR.message_types_by_name['AssessedCustomFee'] = _ASSESSEDCUSTOMFEE _sym_db.RegisterFileDescriptor(DESCRIPTOR) FractionalFee = _reflection.GeneratedProtocolMessageType('FractionalFee', (_message.Message,), { 'DESCRIPTOR' : _FRACTIONALFEE, '__module__' : 'custom_fees_pb2' # @@protoc_insertion_point(class_scope:proto.FractionalFee) }) _sym_db.RegisterMessage(FractionalFee) FixedFee = _reflection.GeneratedProtocolMessageType('FixedFee', (_message.Message,), { 'DESCRIPTOR' : _FIXEDFEE, '__module__' : 'custom_fees_pb2' # @@protoc_insertion_point(class_scope:proto.FixedFee) }) _sym_db.RegisterMessage(FixedFee) RoyaltyFee = _reflection.GeneratedProtocolMessageType('RoyaltyFee', (_message.Message,), { 'DESCRIPTOR' : _ROYALTYFEE, '__module__' : 'custom_fees_pb2' # @@protoc_insertion_point(class_scope:proto.RoyaltyFee) }) _sym_db.RegisterMessage(RoyaltyFee) CustomFee = _reflection.GeneratedProtocolMessageType('CustomFee', (_message.Message,), { 'DESCRIPTOR' : _CUSTOMFEE, '__module__' : 'custom_fees_pb2' # @@protoc_insertion_point(class_scope:proto.CustomFee) }) _sym_db.RegisterMessage(CustomFee) AssessedCustomFee = _reflection.GeneratedProtocolMessageType('AssessedCustomFee', (_message.Message,), { 'DESCRIPTOR' : _ASSESSEDCUSTOMFEE, '__module__' : 'custom_fees_pb2' # @@protoc_insertion_point(class_scope:proto.AssessedCustomFee) }) _sym_db.RegisterMessage(AssessedCustomFee) DESCRIPTOR._options = None # @@protoc_insertion_point(module_scope)
43.255952
1,364
0.769093
1,868
14,534
5.605996
0.103319
0.041253
0.061688
0.059301
0.700344
0.643908
0.600076
0.59788
0.567513
0.554908
0
0.037422
0.111944
14,534
335
1,365
43.385075
0.773921
0.033852
0
0.635452
1
0.003344
0.211735
0.154416
0
0
0
0
0
1
0
false
0
0.016722
0
0.016722
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c63b6d0ba024409240dd7fb35b97a9201a619ff8
457
py
Python
zoonado/recipes/data_watcher.py
hulu316/zoonado
cb06102f95e7da9c0e418bb9e327045e012a1497
[ "Apache-2.0" ]
12
2016-04-14T09:55:38.000Z
2018-01-07T13:12:47.000Z
zoonado/recipes/data_watcher.py
hulu316/zoonado
cb06102f95e7da9c0e418bb9e327045e012a1497
[ "Apache-2.0" ]
16
2016-07-21T09:45:38.000Z
2017-09-22T19:06:14.000Z
zoonado/recipes/data_watcher.py
hulu316/zoonado
cb06102f95e7da9c0e418bb9e327045e012a1497
[ "Apache-2.0" ]
8
2016-07-21T09:06:37.000Z
2019-07-26T05:48:00.000Z
from __future__ import unicode_literals import logging from tornado import gen from zoonado import WatchEvent from .base_watcher import BaseWatcher log = logging.getLogger(__name__) class DataWatcher(BaseWatcher): watched_event = WatchEvent.DATA_CHANGED @gen.coroutine def fetch(self, path): log.debug("Fetching data for %s", path) data = yield self.client.get_data(path=path, watch=True) raise gen.Return(data)
19.869565
64
0.73523
59
457
5.474576
0.644068
0
0
0
0
0
0
0
0
0
0
0
0.190372
457
22
65
20.772727
0.872973
0
0
0
0
0
0.043764
0
0
0
0
0
0
1
0.076923
false
0
0.384615
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
1
0
1
0
0
2
c63e015822304a9a3216ed85f6d9d0fa8cb6f285
219
py
Python
hackerrank/Algorithms/Simple Array Sum/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
4
2020-07-24T01:59:50.000Z
2021-07-24T15:14:08.000Z
hackerrank/Algorithms/Simple Array Sum/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
hackerrank/Algorithms/Simple Array Sum/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
import unittest import solution class TestQ(unittest.TestCase): def test_case_0(self): self.assertEqual(solution.simpleArraySum([1, 2, 3, 4, 10, 11]), 31) if __name__ == '__main__': unittest.main()
16.846154
75
0.680365
29
219
4.793103
0.793103
0
0
0
0
0
0
0
0
0
0
0.061798
0.187215
219
12
76
18.25
0.719101
0
0
0
0
0
0.03653
0
0
0
0
0
0.142857
1
0.142857
false
0
0.285714
0
0.571429
0
1
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
1
0
0
2
c641a151c12f271332bb48dd1ad7c962ba022947
369
py
Python
func.py
AI0702/Among-Us-clone
e75a1410c8bc9e82b41f2ab51deec373c8486e29
[ "Unlicense" ]
null
null
null
func.py
AI0702/Among-Us-clone
e75a1410c8bc9e82b41f2ab51deec373c8486e29
[ "Unlicense" ]
null
null
null
func.py
AI0702/Among-Us-clone
e75a1410c8bc9e82b41f2ab51deec373c8486e29
[ "Unlicense" ]
null
null
null
def my_func(): print("Foo") my_other_func = lambda: print("Bar") my_arr = [my_func, my_other_func] for i in range (0, 2): my_arr[i]() # Bots Position BOT_POS = [(5401, 1530),(3686, 1857),(3733, 2626),(2325, 1814), (1718, 1282),(1288, 2418),(1249, 506),(2513,1286) ] print("\n") for (x,y) in BOT_POS: print(x, y)
19.421053
64
0.542005
58
369
3.275862
0.655172
0.063158
0.115789
0
0
0
0
0
0
0
0
0.238971
0.262873
369
18
65
20.5
0.459559
0.03523
0
0
0
0
0.02381
0
0
0
0
0
0
1
0.083333
false
0
0
0
0.083333
0.333333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c646aa1ca48a5bb4215bc89581b1b1a6564c1162
165
py
Python
narcy/nlp/tenses.py
sztal/narcy
18bfdcfb691c3505384f452479dee5fb6c93321e
[ "MIT" ]
13
2019-04-17T13:44:33.000Z
2021-03-17T23:23:15.000Z
narcy/nlp/tenses.py
sztal/narcy
18bfdcfb691c3505384f452479dee5fb6c93321e
[ "MIT" ]
1
2019-03-17T16:29:14.000Z
2019-03-17T16:29:14.000Z
narcy/nlp/tenses.py
sztal/narcy
18bfdcfb691c3505384f452479dee5fb6c93321e
[ "MIT" ]
1
2020-01-08T11:35:03.000Z
2020-01-08T11:35:03.000Z
"""Tense analysis and detection related utilities.""" # pylint: disable=E0611 PRESENT = 'PRESENT' PAST = 'PAST' FUTURE = 'FUTURE' MODAL = 'MODAL' NORMAL = 'NORMAL'
18.333333
53
0.69697
19
165
6.052632
0.736842
0
0
0
0
0
0
0
0
0
0
0.028571
0.151515
165
8
54
20.625
0.792857
0.424242
0
0
0
0
0.314607
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
c6571ded22006db289757c86ac6e6239df66a71c
4,007
py
Python
samples/openapi3/client/petstore/python-experimental/tests_manual/test_combine_schemas.py
chanjarster/openapi-generator
f92f8f1e58c59a429295509d8c5df32b100cde22
[ "Apache-2.0" ]
1
2022-01-11T15:49:34.000Z
2022-01-11T15:49:34.000Z
samples/openapi3/client/petstore/python-experimental/tests_manual/test_combine_schemas.py
chanjarster/openapi-generator
f92f8f1e58c59a429295509d8c5df32b100cde22
[ "Apache-2.0" ]
9
2021-11-01T08:59:31.000Z
2022-03-31T08:31:57.000Z
samples/openapi3/client/petstore/python-experimental/tests_manual/test_combine_schemas.py
chanjarster/openapi-generator
f92f8f1e58c59a429295509d8c5df32b100cde22
[ "Apache-2.0" ]
1
2022-03-20T14:46:48.000Z
2022-03-20T14:46:48.000Z
# coding: utf-8 """ OpenAPI Petstore This spec is mainly for testing Petstore server and contains fake endpoints, models. Please do not use this for any other purpose. Special characters: \" \\ # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ import sys import unittest import petstore_api from petstore_api.model.date_with_validations import DateWithValidations from petstore_api.model.date_time_with_validations import DateTimeWithValidations from petstore_api.model.string_with_validation import StringWithValidation from petstore_api.model.integer_enum_one_value import IntegerEnumOneValue from petstore_api.model.integer_enum import IntegerEnum from petstore_api.model.integer_enum_big import IntegerEnumBig from petstore_api.model.integer_max10 import IntegerMax10 from petstore_api.model.integer_min15 import IntegerMin15 from petstore_api.model.nullable_string import NullableString from petstore_api.schemas import AnyTypeSchema, Schema, NoneSchema, StrSchema, none_type, Singleton class TestCombineNonObjectSchemas(unittest.TestCase): def test_valid_enum_plus_prim(self): class EnumPlusPrim(IntegerMax10, IntegerEnumOneValue): pass assert EnumPlusPrim._enum_value_to_name == {0: "POSITIVE_0"} # order of base classes does not matter class EnumPlusPrim(IntegerEnumOneValue, IntegerMax10): pass assert EnumPlusPrim._enum_value_to_name == {0: "POSITIVE_0"} # _enum_value_to_name only contains one key assert set(EnumPlusPrim._enum_value_to_name) == {0} # the value is the expected enum class enum_value_cls = EnumPlusPrim._enum_by_value[0] assert issubclass(enum_value_cls, EnumPlusPrim) assert issubclass(enum_value_cls, Singleton) assert issubclass(enum_value_cls, int) # the enum stored in that class is expected enum_value = enum_value_cls.POSITIVE_0 assert isinstance(enum_value, EnumPlusPrim) assert isinstance(enum_value, Singleton) assert isinstance(enum_value, int) # we can access this enum from our class assert EnumPlusPrim.POSITIVE_0 == enum_value # invalid value throws an exception with self.assertRaises(petstore_api.ApiValueError): EnumPlusPrim(9) # valid value succeeds val = EnumPlusPrim(0) assert val == 0 assert isinstance(val, EnumPlusPrim) assert isinstance(val, Singleton) assert isinstance(val, int) def test_valid_enum_plus_enum(self): class IntegerOneEnum(IntegerEnum, IntegerEnumOneValue): pass assert IntegerOneEnum._enum_value_to_name == {0: "POSITIVE_0"} # order of base classes does not matter class IntegerOneEnum(IntegerEnumOneValue, IntegerEnum): pass assert IntegerOneEnum._enum_value_to_name == {0: "POSITIVE_0"} # _enum_by_value only contains one key assert set(IntegerOneEnum._enum_by_value) == {0} # the value is the expected enum class enum_value_cls = IntegerOneEnum._enum_by_value[0] assert issubclass(enum_value_cls, IntegerOneEnum) assert issubclass(enum_value_cls, Singleton) assert issubclass(enum_value_cls, int) # the enum stored in that class is expected enum_value = enum_value_cls.POSITIVE_0 assert isinstance(enum_value, IntegerOneEnum) assert isinstance(enum_value, Singleton) assert isinstance(enum_value, int) # we can access this enum from our class assert IntegerOneEnum.POSITIVE_0 == enum_value # accessing invalid enum throws an exception invalid_enums = ['POSITIVE_1', 'POSITIVE_2'] for invalid_enum in invalid_enums: with self.assertRaises(petstore_api.ApiValueError): getattr(IntegerOneEnum, invalid_enum) if __name__ == '__main__': unittest.main()
38.161905
174
0.724233
483
4,007
5.747412
0.26294
0.084294
0.054035
0.064842
0.501801
0.436599
0.342219
0.342219
0.339337
0.310519
0
0.012743
0.216621
4,007
104
175
38.528846
0.871615
0.19441
0
0.327869
0
0
0.021323
0
0
0
0
0
0.42623
1
0.032787
false
0.065574
0.213115
0
0.327869
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
1
0
0
0
1
0
0
0
0
0
2
d65dc8217315ef0721ac201a7040b03d51c328f4
15,399
py
Python
ProjectApplication/grant_management/models.py
Swiss-Polar-Institute/project-application
2fdc12378ca3d974bd4ac20cf9f56ff544058524
[ "MIT" ]
5
2020-07-29T10:00:11.000Z
2022-02-19T11:00:34.000Z
ProjectApplication/grant_management/models.py
Swiss-Polar-Institute/project-application
2fdc12378ca3d974bd4ac20cf9f56ff544058524
[ "MIT" ]
471
2019-09-20T14:37:28.000Z
2022-03-25T14:16:34.000Z
ProjectApplication/grant_management/models.py
Swiss-Polar-Institute/project-application
2fdc12378ca3d974bd4ac20cf9f56ff544058524
[ "MIT" ]
5
2020-03-15T12:42:47.000Z
2022-02-15T18:06:52.000Z
from django.contrib.auth.models import User from django.db import models, transaction # Create your models here. # add dates of review, signed date, who signed, grant agreement - need flexibilty in types of dates that are added from django.db.models import Sum from django.utils.datetime_safe import datetime from simple_history.models import HistoricalRecords from storages.backends.s3boto3 import S3Boto3Storage from project_core.models import CreateModifyOn, PhysicalPerson, Project from project_core.utils.utils import management_file_validator, calculate_md5_from_file_field def grant_agreement_file_rename(instance, filename): return f'grant_management/GrantAgreement/Project-{instance.project.key}-{filename}' class GrantAgreement(CreateModifyOn): project = models.OneToOneField(Project, help_text='Project this Grant Agreement belongs to', on_delete=models.PROTECT) signed_date = models.DateField(help_text='Date the grant agreement was signed', null=True, blank=True) signed_by = models.ManyToManyField(PhysicalPerson, help_text='People who signed the grant agreement', blank=True) file = models.FileField(storage=S3Boto3Storage(), upload_to=grant_agreement_file_rename, validators=[*management_file_validator()]) def __str__(self): return f'{self.project}' def signed_by_string(self): return ', '.join( [f'{person.first_name} {person.surname}' for person in self.signed_by.all().order_by('first_name')]) @staticmethod def comment_object(): from comments.models import GrantAgreementComment return GrantAgreementComment @staticmethod def attachment_object(): from comments.models import GrantAgreementAttachment return GrantAgreementAttachment def attachments(self): return self.grantagreementattachment_set.all().order_by('created_on') def comments(self): return self.grantagreementcomment_set.all().order_by('created_on') class AbstractProjectDueReceivedDate(CreateModifyOn): project = models.ForeignKey(Project, help_text='Abstract containing dates', on_delete=models.PROTECT) due_date = models.DateField(help_text='Date the document is due', null=True, blank=True) received_date = models.DateField(help_text='Date the document was received', null=True, blank=True) class Meta: abstract = True def __str__(self): return f'{self.project}' class Installment(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project that this installment refers to', on_delete=models.PROTECT) amount = models.DecimalField(max_digits=11, decimal_places=2, help_text='Installment amount') def __str__(self): return f'{self.project}-{self.amount}' def sent_for_payment(self): return self.invoice_set.filter(sent_for_payment_date__isnull=False).aggregate(Sum('amount'))['amount__sum'] def paid(self): return self.invoice_set.filter(paid_date__isnull=False).aggregate(Sum('amount'))['amount__sum'] def number(self): # This is not very efficient, but given the number of invoices and installments it's nice to not have to # save this in the database installments = list(Installment.objects.filter(project=self.project).order_by('id')) return installments.index(self) + 1 def invoice_file_rename(instance, filename): return f'grant_management/Invoice/Project-{instance.project.key}-{filename}' class Invoice(AbstractProjectDueReceivedDate): sent_for_payment_date = models.DateField(help_text='Date the invoice was sent for payment', null=True, blank=True) file = models.FileField(storage=S3Boto3Storage(), upload_to=invoice_file_rename, null=True, validators=[*management_file_validator()], blank=True) paid_date = models.DateField(help_text='Date the invoice was paid', null=True, blank=True) amount = models.DecimalField(max_digits=20, decimal_places=2, help_text='Total of the invoice (CHF)', null=True, blank=True) installment = models.ForeignKey(Installment, help_text='Installment to which the invoice is assigned', null=True, blank=True, on_delete=models.PROTECT) allow_overbudget = models.BooleanField(default=False, help_text='This invoice takes a payment overbudget') overbudget_allowed_by = models.ForeignKey(User, null=True, blank=True, help_text='User that allowed the overbudget', on_delete=models.PROTECT) def __str__(self): return f'Id: {self.id} Amount: {self.amount}' @staticmethod def comment_object(): from comments.models import InvoiceComment return InvoiceComment @staticmethod def attachment_object(): return None def installment_number(self): # This is not very efficient, but given the number of invoices and installments it's nice to not have to # save this in the database if self.installment is None: return None return self.installment.number() def due_date_passed(self): return self.due_date and self.due_date < datetime.today().date() and self.paid_date is None def negative(self): return self.amount and self.amount < 0 def comments(self): return self.invoicecomment_set.all().order_by('created_on') def attachments(self): return None class AbstractProjectReport(AbstractProjectDueReceivedDate): sent_for_approval_date = models.DateField(help_text='Date the report was sent for approval', null=True, blank=True) approval_date = models.DateField(help_text='Date the report was approved', blank=True, null=True) approved_by = models.ForeignKey(PhysicalPerson, help_text='Person who approved the report', on_delete=models.PROTECT, blank=True, null=True) class Meta: abstract = True def due_date_passed(self): return self.due_date and self.due_date < datetime.today().date() and self.approval_date is None def finance_report_file_rename(instance, filename): return f'grant_management/FinancialReport/Project-{instance.project.key}-{filename}' class FinancialReport(AbstractProjectReport): file = models.FileField(storage=S3Boto3Storage(), upload_to=finance_report_file_rename, validators=[*management_file_validator()], blank=True, null=True) def scientific_report_file_rename(instance, filename): return f'grant_management/ScientificReport/Project-{instance.project.key}-{filename}' class ScientificReport(AbstractProjectReport): file = models.FileField(storage=S3Boto3Storage(), upload_to=scientific_report_file_rename, validators=[*management_file_validator()], blank=True, null=True) class LaySummaryType(CreateModifyOn): name = models.CharField(max_length=10, help_text='Type of lay summary which could be used within the application to decide how the' ' summary is used', unique=True) description = models.CharField(max_length=100, help_text='Description of the type of lay summary') def __str__(self): return self.name class LaySummary(AbstractProjectDueReceivedDate): text = models.TextField(help_text='Lay summary text', null=True, blank=True) lay_summary_type = models.ForeignKey(LaySummaryType, help_text='Type of the lay summary', blank=True, null=True, on_delete=models.PROTECT) author = models.ForeignKey(PhysicalPerson, help_text='Person who wrote the lay summary', blank=True, null=True, on_delete=models.PROTECT) def __str__(self): return f'{self.text[:20]}' class Meta: verbose_name_plural = 'Lay Summaries' class BlogPost(AbstractProjectDueReceivedDate): title = models.CharField(max_length=1024, help_text='Title of the blog post', null=True, blank=True) text = models.TextField(help_text='Blog post text', null=True, blank=True) author = models.ForeignKey(PhysicalPerson, help_text='Person who wrote the blog post', blank=True, null=True, on_delete=models.PROTECT) def media_list(self): if self.id: return self.medium_set.all().order_by('received_date') else: return [] class License(CreateModifyOn): name = models.CharField(max_length=100, help_text='License name (e.g. Creative Commons Attribution Non Commercial Share Alike 4.0 International)', unique=True) spdx_identifier = models.CharField(max_length=100, help_text='Identifier as per https://spdx.org/licenses/ CC-BY-NC-SA-4.0', unique=True) public_text = models.TextField( help_text='Explanatory text for this license. Include the logo and URL to license text.', null=True, blank=True) def __str__(self): return f'{self.name}' def medium_file_rename(instance, filename): return f'grant_management/Medium/Project-{instance.project.key}-{filename}' class Medium(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project that this medium belongs to', on_delete=models.PROTECT) received_date = models.DateField(help_text='Date that the medium was received') photographer = models.ForeignKey(PhysicalPerson, help_text='Person who took the photo/video', on_delete=models.PROTECT) license = models.ForeignKey(License, help_text='License', on_delete=models.PROTECT, null=True, blank=True) copyright = models.CharField(max_length=1024, help_text='Owner of copyright if it is not the photographer (e.g. institution)', null=True, blank=True) file = models.FileField(storage=S3Boto3Storage(), upload_to=medium_file_rename, validators=[*management_file_validator()]) file_md5 = models.CharField(max_length=32, null=True, blank=True) blog_posts = models.ManyToManyField(BlogPost, help_text='Which blog posts this image belongs to', blank=True) descriptive_text = models.TextField( help_text='Description of this media, if provided. Where was it taken, context, etc.', null=True, blank=True) class Meta: verbose_name_plural = 'Media' def __str__(self): return f'{self.project}-{self.photographer}' def save(self, *args, **kwargs): self.file_md5 = calculate_md5_from_file_field(self.file) super().save(*args, **kwargs) def delete(self, *args, **kwargs): with transaction.atomic(): MediumDeleted.objects.create(**{'original_id': self.id}) delete_result = super().delete(*args, **kwargs) return delete_result class MediumDeleted(CreateModifyOn): original_id = models.IntegerField(help_text='ID of the delete Medium.ID. Used to return them to the ' 'SPI Media Gallery or other software', unique=True # The same ID cannot be deleted twice ) class Meta: verbose_name_plural = 'MediaDeleted' class SocialNetwork(CreateModifyOn): name = models.CharField(max_length=100, help_text='Social network name (e.g. Twitter, Facebook, Instagram, Blog)') def __str__(self): return f'{self.name}' def icon(self): return f'external/icons/{self.name.lower()}.png' class ProjectSocialNetwork(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project to which this social network page is related', on_delete=models.PROTECT) social_network = models.ForeignKey(SocialNetwork, help_text='Social network with information about the project', on_delete=models.PROTECT) url = models.URLField(help_text='URL of social network (e.g. https://twitter.com/SwissPolar)', null=True, blank=True) def __str__(self): return f'{self.project}-{self.social_network}' def generate_doi_link(doi): return f'https://doi.org/{doi}' class Publication(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project to which the publication is related', on_delete=models.PROTECT) doi = models.CharField(max_length=100, help_text='Digital object identifier of publication', null=True, blank=True) reference = models.CharField(max_length=1000, help_text='Full reference of publication', null=True, blank=True) title = models.CharField(max_length=1000, help_text='Title of publication') published_date = models.DateField(help_text='Date on which the resource was published', null=True, blank=True) def __str__(self): return '{}'.format(self.title) def doi_link(self): return generate_doi_link(self.doi) class Dataset(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project to which is the dataset is related', on_delete=models.PROTECT) doi = models.CharField(max_length=100, help_text='Digital object identifier of dataset', null=True, blank=True) url = models.URLField(help_text='URL of dataset if it does not have a DOI', null=True, blank=True) title = models.CharField(max_length=1000, help_text='Title of dataset') published_date = models.DateField(help_text='Date on which dataset was published', null=True, blank=True) def __str__(self): return '{}'.format(self.title) def doi_link(self): return generate_doi_link(self.doi) class MilestoneCategory(CreateModifyOn): name = models.CharField(max_length=40) created_by = models.ForeignKey(User, help_text='User that created the category', on_delete=models.PROTECT) def __str__(self): return self.name class Milestone(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project to which the milestone is related', on_delete=models.PROTECT) due_date = models.DateField() category = models.ForeignKey(MilestoneCategory, help_text='Which category is this', on_delete=models.PROTECT) text = models.CharField(max_length=200, blank=True, null=True) history = HistoricalRecords() class Location(CreateModifyOn): project = models.ForeignKey(Project, help_text='Project that the coordinate belongs to', on_delete=models.PROTECT, related_name='project_location') latitude = models.DecimalField(decimal_places=2, max_digits=6) # TODO: add validator? longitude = models.DecimalField(decimal_places=2, max_digits=7) # TODO: add validator? name = models.CharField(max_length=100)
42.89415
134
0.676018
1,837
15,399
5.497006
0.170931
0.042781
0.030897
0.040404
0.530897
0.478313
0.401664
0.335611
0.264706
0.195187
0
0.007264
0.231119
15,399
358
135
43.013966
0.845608
0.030716
0
0.32
0
0.004
0.19516
0.032784
0
0
0
0.002793
0
1
0.164
false
0.008
0.044
0.132
0.744
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
1
1
0
0
2
d66ef50afcf876c59e6d1ed563e416208b94d1da
744
py
Python
tests/test_subscribe_http_handler.py
svilborg/samsungtv
007d8cbf4326ae13d74ab138eb77798d11aae108
[ "Apache-2.0" ]
12
2018-05-07T10:27:15.000Z
2021-01-03T23:39:41.000Z
tests/test_subscribe_http_handler.py
svilborg/samsungtv
007d8cbf4326ae13d74ab138eb77798d11aae108
[ "Apache-2.0" ]
1
2020-07-12T20:51:51.000Z
2020-07-12T20:51:51.000Z
tests/test_subscribe_http_handler.py
svilborg/samsungtv
007d8cbf4326ae13d74ab138eb77798d11aae108
[ "Apache-2.0" ]
2
2019-08-20T00:48:10.000Z
2020-09-20T10:09:17.000Z
import sys from BaseHTTPServer import HTTPServer from unittest import TestCase from samsungtv.httpd.subscribe_handler import SubscribeHttpRequestHandler class TestSubscribeHttpRequestHandler(TestCase): def test__log(self): self.skipTest("Todo") # def test_real(self): # host = "" # port = 8007 # # try: # # SubscribeRequestHandler.protocol_version = "HTTP/1.0" # # httpd = HTTPServer((host, port), SubscribeHttpRequestHandler) # # except Exception as e: # sys.stderr.write(str(e)) # sys.exit(-1) # # print "Serving on " + host + ":" + str(port) + " ... " # # while True: # httpd.handle_request()
25.655172
75
0.586022
69
744
6.231884
0.666667
0.032558
0
0
0
0
0
0
0
0
0
0.013487
0.302419
744
28
76
26.571429
0.815029
0.509409
0
0
0
0
0.011561
0
0
0
0
0
0
1
0.142857
false
0
0.571429
0
0.857143
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
1
0
1
0
0
2
d676906a67ffc851fd1e178620a853fede08b4a4
873
py
Python
snippets/views.py
kblicharski/django-rest-tutorial
51c35a5510102d5efb8949759e66a7842a5672cb
[ "MIT" ]
null
null
null
snippets/views.py
kblicharski/django-rest-tutorial
51c35a5510102d5efb8949759e66a7842a5672cb
[ "MIT" ]
null
null
null
snippets/views.py
kblicharski/django-rest-tutorial
51c35a5510102d5efb8949759e66a7842a5672cb
[ "MIT" ]
null
null
null
from django.http import HttpResponse, JsonResponse from django.views.decorators.csrf import csrf_exempt from rest_framework.parsers import JSONParser from rest_framework.renderers import JSONRenderer from .models import Snippet from .serializers import SnippetSerializer @csrf_exempt def snippet_list(request): """List all code snippets or create a new snippet.""" if request.method == 'GET': snippets = Snippet.objects.all() serializer = SnippetSerializer(snippets, many=True) return JsonResponse(serializer.data, status=200) elif request.method == 'POST': data = JSONParser.parse(request) serializer = SnippetSerializer(data=data) if serializer.is_valid(): serializer.save() return JsonResponse(serializer.data, status=201) return JsonResponse(serializer.errors, status=400)
34.92
60
0.727377
98
873
6.418367
0.510204
0.085851
0.133545
0.101749
0.120827
0
0
0
0
0
0
0.01273
0.190149
873
24
61
36.375
0.876945
0.053837
0
0
0
0
0.008537
0
0
0
0
0
0
1
0.052632
false
0
0.315789
0
0.526316
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
1
0
1
0
0
2
d68032f9f6c78cdac75e39104c638a7fddf06cff
2,830
py
Python
contract_api/handlers/service_handlers.py
vinthedark/snet-marketplace-service
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
[ "MIT" ]
null
null
null
contract_api/handlers/service_handlers.py
vinthedark/snet-marketplace-service
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
[ "MIT" ]
null
null
null
contract_api/handlers/service_handlers.py
vinthedark/snet-marketplace-service
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
[ "MIT" ]
null
null
null
import json from contract_api.config import NETWORKS, NETWORK_ID, SLACK_HOOK from common.repository import Repository from common.utils import Utils, generate_lambda_response from contract_api.registry import Registry from common.utils import handle_exception_with_slack_notification from common.logger import get_logger from aws_xray_sdk.core import patch_all patch_all() db = Repository(net_id=NETWORK_ID, NETWORKS=NETWORKS) obj_util = Utils() logger = get_logger(__name__) @handle_exception_with_slack_notification(logger=logger, NETWORK_ID=NETWORK_ID, SLACK_HOOK=SLACK_HOOK) def get_service_get(event, context): obj_reg = Registry(obj_repo=db) payload_dict = event.get('queryStringParameters') response_data = obj_reg.get_filter_attribute( attribute=payload_dict["attribute"]) return generate_lambda_response( 200, {"status": "success", "data": response_data}, cors_enabled=True) @handle_exception_with_slack_notification(logger=logger, NETWORK_ID=NETWORK_ID, SLACK_HOOK=SLACK_HOOK) def get_service_post(event, context): obj_reg = Registry(obj_repo=db) payload_dict = json.loads(event['body']) response_data = obj_reg.get_all_srvcs(qry_param=payload_dict) return generate_lambda_response( 200, {"status": "success", "data": response_data}, cors_enabled=True) @handle_exception_with_slack_notification(logger=logger, NETWORK_ID=NETWORK_ID, SLACK_HOOK=SLACK_HOOK) def get_service_for_given_org(event, context): obj_reg = Registry(obj_repo=db) org_id = event['pathParameters']['orgId'] service_id = event['pathParameters']['serviceId'] response_data = obj_reg.get_service_data_by_org_id_and_service_id( org_id=org_id, service_id=service_id) return generate_lambda_response( 200, {"status": "success", "data": response_data}, cors_enabled=True) @handle_exception_with_slack_notification(logger=logger, NETWORK_ID=NETWORK_ID, SLACK_HOOK=SLACK_HOOK) def get_group_for_service(event, context): obj_reg = Registry(obj_repo=db) org_id = event['pathParameters']['orgId'] service_id = event['pathParameters']['serviceId'] response_data = obj_reg.get_group_info( org_id=org_id, service_id=service_id) return generate_lambda_response( 200, {"status": "success", "data": response_data}, cors_enabled=True) @handle_exception_with_slack_notification(logger=logger, NETWORK_ID=NETWORK_ID, SLACK_HOOK=SLACK_HOOK) def post_rating_for_given_service(event, context): obj_reg = Registry(obj_repo=db) org_id = event['pathParameters']['orgId'] service_id = event['pathParameters']['serviceId'] response_data = obj_reg.update_service_rating(org_id=org_id, service_id=service_id) return generate_lambda_response( 200, {"status": "success", "data": response_data}, cors_enabled=True)
42.238806
102
0.777385
390
2,830
5.238462
0.184615
0.052863
0.041116
0.052863
0.721488
0.683309
0.683309
0.683309
0.683309
0.683309
0
0.006031
0.121201
2,830
66
103
42.878788
0.81544
0
0
0.528302
1
0
0.086572
0.00742
0
0
0
0
0
1
0.09434
false
0
0.150943
0
0.339623
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
d69d2ab3416fa57067cdd88719980f6249a69de7
351
py
Python
baekjoon/not-classified/1630/1630.py
honux77/algorithm
2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee
[ "MIT" ]
2
2019-02-08T01:23:07.000Z
2020-11-19T12:23:52.000Z
baekjoon/not-classified/1630/1630.py
honux77/algorithm
2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee
[ "MIT" ]
null
null
null
baekjoon/not-classified/1630/1630.py
honux77/algorithm
2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee
[ "MIT" ]
null
null
null
n = input() def gcd(m, n): while True: m %= n if m == 0: return n n %= m if n == 0: return m def lcm(m, n): g = gcd(m ,n) return m * n / g def omin(n): r = n for i in range(2, n): if r % i != 0: r = lcm(r, i) return r print omin(n)
15.26087
34
0.350427
58
351
2.12069
0.344828
0.081301
0.081301
0
0
0
0
0
0
0
0
0.023669
0.518519
351
23
35
15.26087
0.704142
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0.052632
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
d6c7df267dadd81c3a7d8388d0591ed9627f775f
319
py
Python
python/lists/list3.py
readingbat/readingbat-python-content
437648be8e15ce3ce21d5f256f91d71658bbb889
[ "Apache-2.0" ]
null
null
null
python/lists/list3.py
readingbat/readingbat-python-content
437648be8e15ce3ce21d5f256f91d71658bbb889
[ "Apache-2.0" ]
null
null
null
python/lists/list3.py
readingbat/readingbat-python-content
437648be8e15ce3ce21d5f256f91d71658bbb889
[ "Apache-2.0" ]
null
null
null
def list3(str): result = 0 for i in str: if i == 'a': result += 1 return result def main(): print(list3(['Hello', 'world', 'a'])) print(list3(['a', 'a'])) print(list3(['Computational', 'thinking'])) print(list3(['a', 'A', 'A'])) if __name__ == '__main__': main()
17.722222
47
0.489028
40
319
3.7
0.475
0.27027
0.148649
0.162162
0
0
0
0
0
0
0
0.030702
0.285266
319
17
48
18.764706
0.618421
0
0
0
0
0
0.144201
0
0
0
0
0
0
1
0.153846
false
0
0
0
0.230769
0.307692
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
d6d5e539107b36d6dd7a8cf69a035a5a809a4249
54
py
Python
bitmerchantx/wallet/__init__.py
dalijolijo/bitmerchant-btx
c34f5a242d24ea37c5563a3d29bf521b21e70245
[ "MIT" ]
72
2015-01-28T03:50:03.000Z
2021-06-21T11:20:15.000Z
bitmerchantx/wallet/__init__.py
dalijolijo/bitmerchant-btx
c34f5a242d24ea37c5563a3d29bf521b21e70245
[ "MIT" ]
19
2015-01-01T11:45:00.000Z
2021-12-23T13:03:46.000Z
bitmerchantx/wallet/__init__.py
dalijolijo/bitmerchant-btx
c34f5a242d24ea37c5563a3d29bf521b21e70245
[ "MIT" ]
27
2015-01-01T11:39:48.000Z
2022-03-31T20:15:28.000Z
from .bip32 import Wallet __all__ = [ 'Wallet' ]
9
25
0.62963
6
54
5
0.833333
0
0
0
0
0
0
0
0
0
0
0.05
0.259259
54
5
26
10.8
0.7
0
0
0
0
0
0.111111
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
d6dbd17e21eed640dcdf714d13b67e7ac4942957
220
py
Python
test_basic.py
thomasgruebl/mount-usb-in-sandbox
2204e59ef71102419e593c6655783b7db24a04e8
[ "MIT" ]
5
2021-11-20T10:56:18.000Z
2021-12-25T23:59:03.000Z
test_basic.py
thomasgruebl/mount-usb-in-sandbox
2204e59ef71102419e593c6655783b7db24a04e8
[ "MIT" ]
null
null
null
test_basic.py
thomasgruebl/mount-usb-in-sandbox
2204e59ef71102419e593c6655783b7db24a04e8
[ "MIT" ]
null
null
null
import unittest import helpers class BasicTest(unittest.TestCase): def test_network_interfaces(self): self.assertIsNotNone(helpers.get_network_interfaces()) if __name__ == '__main__': unittest.main()
18.333333
62
0.75
24
220
6.375
0.666667
0.222222
0
0
0
0
0
0
0
0
0
0
0.154545
220
11
63
20
0.822581
0
0
0
0
0
0.036364
0
0
0
0
0
0.142857
1
0.142857
false
0
0.285714
0
0.571429
0
1
0
0
null
1
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
0
2
d6e89d1e01f608eab7fd6b14337eb4341926d5e3
2,529
py
Python
vm_network_migration/errors.py
googleinterns/vm-network-migration
1132e44d696ab9da4d1079ebc3d32ed4382cdc28
[ "Apache-2.0" ]
1
2020-05-27T00:30:47.000Z
2020-05-27T00:30:47.000Z
vm_network_migration/errors.py
yueMaHello/vm-network-migration
4a6bdbb2952fb8ee8022b5c0452159329a79e953
[ "Apache-2.0" ]
1
2020-06-03T15:51:20.000Z
2020-06-03T15:51:20.000Z
vm_network_migration/errors.py
yueMaHello/vm-network-migration
4a6bdbb2952fb8ee8022b5c0452159329a79e953
[ "Apache-2.0" ]
3
2020-06-03T15:17:00.000Z
2020-06-20T08:39:50.000Z
# Copyright 2020 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Errors for the library All exceptions defined by the library should be defined in this file. """ class UnchangedInstanceNameError(IOError): """The new instance name is the same as the original one's""" pass class InvalidTargetNetworkError(IOError): """Migrate to a non-VPC network""" pass class ZoneOperationsError(Exception): """Zone operation's error""" pass class RegionOperationsError(Exception): """Region operation's error""" pass class AttributeNotExistError(KeyError): """An attribute doesn't exist in the googleapi's response""" pass class InvalidTypeError(TypeError): """Type error""" pass class MissingSubnetworkError(IOError): """The subnetwork is not defined""" pass class RollbackError(Exception): """The rollback procedure is failed""" pass class AddInstanceToInstanceGroupError(Exception): """Adding an instance back to the instance group is failed""" pass class TargetTypeError(Exception): """The target type is not supported""" pass class UnsupportedForwardingRule(Exception): """The type of the forwarding rule is not supported""" pass class UnsupportedBackendService(Exception): """The type of the backend service is not supported""" pass class MigrationFailed(Exception): """The migration is failed, and the rollback was called""" pass class InvalidSelfLink(Exception): """The selfLink is unable to be parsed""" pass class AmbiguousTargetResource(Exception): """The target resource can be an instance group or a single instance""" pass class MultipleTargetPools(Exception): """The instance group is serving mutliple target pools at the same time""" pass class SubnetworkNotExists(Exception): """The subnetwork doens't exist in the network""" pass class UnableToGenerateNewInstanceTemplate(Exception): """Unable to genereate a new instance template""" pass
25.039604
78
0.727956
315
2,529
5.844444
0.460317
0.083107
0.022814
0.029332
0.086366
0
0
0
0
0
0
0.003893
0.187426
2,529
101
79
25.039604
0.891971
0.55516
0
0.5
0
0
0
0
0
0
0
0
0
1
0
true
0.5
0
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
1
1
0
0
0
0
0
2
d6eaa4ca6144fcb381dba9eeac969018e52ca0f4
2,444
py
Python
src/card_region.py
AdonisHan/postcorona_DA
576d54c4f4ab53357535f23f3399cc4558bc3ccb
[ "Apache-2.0" ]
null
null
null
src/card_region.py
AdonisHan/postcorona_DA
576d54c4f4ab53357535f23f3399cc4558bc3ccb
[ "Apache-2.0" ]
null
null
null
src/card_region.py
AdonisHan/postcorona_DA
576d54c4f4ab53357535f23f3399cc4558bc3ccb
[ "Apache-2.0" ]
null
null
null
%matplotlib inline import ipywidgets as widgets from ipywidgets import interact, interact_manual import plotly.graph_objects as go import plotly.express as px import plotly.figure_factory as ff import plotly.io as pio pio.renderers.default = 'notebook_connected' import datetime as dt import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns sns.set_style('whitegrid') import csv from sklearn.cluster import KMeans from sklearn.metrics import silhouette_score from sklearn.decomposition import PCA from itertools import product #Matplotlib 한국어 세팅 import platform from matplotlib import font_manager, rc plt.rcParams['axes.unicode_minus'] = False if platform.system() == 'Darwin': rc('font', family='AppleGothic') elif platform.system() == 'Windows': font_name = font_manager.FontProperties(fname='/Users/adonishan/Library/Fonts').get_name() rc('font', family=font_name) #palette pal = ['#50d890', '#007944','#888888','#f3c623','#EFEFEF', '#96bb7c', '#d9bf77','#3f3f44'] def fig_cards(): card = pd.read_csv('data/card_20200717.csv') card.columns = ['날짜', '행정동 코드', '행정동', '업종 코드', '업종', '판매건수', '판매금액'] card['날짜'] = card['날짜'].astype('str').apply(lambda x: x[:4] + '-' + x[4:6] + '-' + x[6:]) card['행정동 코드'] = card['행정동 코드'].astype('str').apply(lambda x:x [:-2]).astype('int') region.columns = ['행정동 코드','행정동','광역시도','시군구'] region['행정동 코드'] = region['행정동 코드'].astype('int') card = pd.merge(card, region, on=['행정동 코드'], how = 'left') card = card[card['광역시도'] == '서울특별시'] card = card.drop(['행정동 코드', '업종 코드'],axis=1) card = card.groupby(['날짜','업종']).sum().reset_index() date = list(card['날짜'].unique()) category = list(card['업종'].unique()) item = [date,category] card_temp = pd.DataFrame(product(*item), columns = ['날짜','업종']) card_compare = card.copy() card = pd.merge(card,card_temp,on=['날짜','업종'],how='right') card = card.fillna(0) card = card.groupby(['날짜','업종']).mean().reset_index() card = card.drop(['주'],axis=1) card['주'] = pd.to_datetime(card['날짜']).dt.week card = card.groupby(['업종','주']).mean().reset_index() def weekly_card_graph(): fig,ax = plt.subplots(1,2,figsize=(14,5)) ax[0].plot(card_compare[card_compare['업종'] == '인터넷종합Mall']['판매금액']) ax[0].set_title("일별 인터넷종합Mall 판매건수", fontsize=15) ax[0].set_xticks([]) ax[1].plot(card[card['업종'] == '인터넷종합Mall']['판매금액']) ax[1].set_title("주별 인터넷종합Mall 판매건수", fontsize=15) ax[1].set_xticks([])
29.804878
94
0.67635
371
2,444
4.374663
0.409704
0.049291
0.027726
0.024646
0.081331
0.02711
0
0
0
0
0
0.028797
0.119067
2,444
81
95
30.17284
0.725035
0.00982
0
0
0
0
0.163561
0.021532
0
0
0
0
0
0
null
null
0
0.310345
null
null
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
1
0
0
0
1
0
0
0
0
2
d6eabc87a08d1d481966ecf70aabc4d6e017d1b5
2,760
py
Python
telemetry/telemetry/internal/results/artifact_compatibility_wrapper.py
alekzonder/catapult
f1017f0c7bd2b766674888d5e88d42fcc61d632c
[ "BSD-3-Clause" ]
null
null
null
telemetry/telemetry/internal/results/artifact_compatibility_wrapper.py
alekzonder/catapult
f1017f0c7bd2b766674888d5e88d42fcc61d632c
[ "BSD-3-Clause" ]
6
2020-07-19T21:51:44.000Z
2022-02-13T08:22:58.000Z
telemetry/telemetry/internal/results/artifact_compatibility_wrapper.py
alekzonder/catapult
f1017f0c7bd2b766674888d5e88d42fcc61d632c
[ "BSD-3-Clause" ]
1
2020-07-24T18:22:03.000Z
2020-07-24T18:22:03.000Z
# Copyright 2019 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # Compatibility layer for using different artifact implementations through a # single API. # TODO(https://crbug.com/1023458): Remove this once artifact implementations are # unified. import logging import os from telemetry.internal.results import story_run from typ import artifacts def ArtifactCompatibilityWrapperFactory(artifact_impl): if isinstance(artifact_impl, story_run.StoryRun): return TelemetryArtifactCompatibilityWrapper(artifact_impl) elif isinstance(artifact_impl, artifacts.Artifacts): return TypArtifactCompatibilityWrapper(artifact_impl) elif artifact_impl is None: return LoggingArtifactCompatibilityWrapper() raise RuntimeError('Given unsupported artifact implementation %s' % type(artifact_impl).__name__) class ArtifactCompatibilityWrapper(object): def __init__(self, artifact_impl): self._artifact_impl = artifact_impl def CreateArtifact(self, name, data): """Create an artifact with the given data. Args: name: The name of the artifact, can include '/' to organize artifacts within a hierarchy. data: The data to write to the artifact. """ raise NotImplementedError() class TelemetryArtifactCompatibilityWrapper(ArtifactCompatibilityWrapper): """Wrapper around Telemetry's story_run.StoryRun class.""" def CreateArtifact(self, name, data): with self._artifact_impl.CreateArtifact(name) as f: f.write(data) class TypArtifactCompatibilityWrapper(ArtifactCompatibilityWrapper): """Wrapper around typ's Artifacts class""" def CreateArtifact(self, name, data): file_relative_path = name.replace('/', os.sep) self._artifact_impl.CreateArtifact(name, file_relative_path, data) class LoggingArtifactCompatibilityWrapper(ArtifactCompatibilityWrapper): """Wrapper that logs instead of actually creating artifacts. This is necessary because some tests, e.g. those that inherit from browser_test_case.BrowserTestCase, don't currently have a way of reporting artifacts. In those cases, we can fall back to logging to stdout so that information isn't lost. However, to prevent cluttering up stdout, we only log the first 100 characters. """ def __init__(self): super(LoggingArtifactCompatibilityWrapper, self).__init__(None) def CreateArtifact(self, name, data): logging.warning( 'Only logging the first 100 characters of the given artifact. To store ' 'the full artifact, run the test in either a Telemetry or typ context.') logging.info( 'Artifact with name %s: %s', name, data[:min(100, len(data))])
36.315789
80
0.75942
335
2,760
6.137313
0.453731
0.070039
0.031128
0.048638
0.094358
0.033074
0
0
0
0
0
0.008696
0.166667
2,760
75
81
36.8
0.885217
0.357609
0
0.114286
0
0
0.122079
0
0
0
0
0.013333
0
1
0.2
false
0
0.114286
0
0.514286
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
1
0
0
0
0
0
0
0
1
0
0
2
d6eed2b6b29ec80a8158c1ec3b0a24da72dc3f7e
2,498
py
Python
lintcode/Design/1786. Pub Sub Pattern.py
yanshengjia/algorithm
0608d286be9c93d51768d47f21e569c6b0be9cda
[ "MIT" ]
23
2019-08-02T12:02:47.000Z
2022-03-09T15:24:16.000Z
lintcode/Design/1786. Pub Sub Pattern.py
yanshengjia/algorithm
0608d286be9c93d51768d47f21e569c6b0be9cda
[ "MIT" ]
null
null
null
lintcode/Design/1786. Pub Sub Pattern.py
yanshengjia/algorithm
0608d286be9c93d51768d47f21e569c6b0be9cda
[ "MIT" ]
21
2019-12-22T04:47:32.000Z
2021-09-12T14:29:35.000Z
""" Pub/Sub pattern is a wide used pattern in system design. In this problem, you need to implement a pub/sub pattern to support user subscribes on a specific channel and get notification messages from subscribed channels. There are 3 methods you need to implement: subscribe(channel, user_id): Subscribe the given user to the given channel. unsubscribe(channel, user_id): Unsubscribe the given user from the given channel. publish(channel, message): You need to publish the message to the channel so that everyone subscribed on the channel will receive this message. Call PushNotification.notify(user_id, message) to push the message to the user. Example subscribe("group1", 1) publish("group1", "hello") >> user 1 received "Hello" subscribe("group1", 2) publish("group1", "thank you") >> user 1 received "thank you" >> user 2 received "thank you" unsubscribe("group2", 3) >> user 3 is not in group2, do nothing unsubscribe("group1", 1) publish("group1", "thank you very much") >> user 2 received "thank you very much" publish("group2", "are you ok?") >> # you don't need to push this message to anyone If there are more than 1 user subscribed on the same channel, it doesn't matter the order of time users receiving the message. It's ok if you push the message to user 2 before user 1. Solution: 模拟题,观察者模式 """ ''' Definition of PushNotification class PushNotification: @classmethod def notify(user_id, message): ''' class PubSubPattern: def __init__(self): # do intialization if necessary self.d = dict() # {"channel": sub_user_set} """ @param: channel: a channel name @param: user_id: a user id @return: nothing """ def subscribe(self, channel, user_id): # write your code here if channel not in self.d: self.d[channel] = set() self.d[channel].add(user_id) """ @param: channel: a channel name @param: user_id: a user id @return: nothing """ def unsubscribe(self, channel, user_id): # write your code here if channel in self.d and user_id in self.d[channel]: self.d[channel].remove(user_id) """ @param: channel: a channel name @param: message: need send message @return: nothing """ def publish(self, channel, message): # write your code here if channel in self.d and len(self.d[channel]) > 0: for user_id in self.d[channel]: PushNotification.notify(user_id, message)
32.025641
223
0.680945
367
2,498
4.583106
0.294278
0.053508
0.042806
0.033888
0.262188
0.1956
0.171819
0.171819
0.147444
0.147444
0
0.011856
0.223379
2,498
77
224
32.441558
0.855155
0.572858
0
0
0
0
0
0
0
0
0
0.038961
0
1
0.285714
false
0
0
0
0.357143
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
1
0
0
1
0
0
0
0
0
0
0
2
d6fa2c43d6c59ec3cdf013dcdd92c79d01ee9b72
312
py
Python
binary_tree/tree_node.py
ahcode0919/python-ds-algorithms
0d617b78c50b6c18da40d9fa101438749bfc82e1
[ "MIT" ]
null
null
null
binary_tree/tree_node.py
ahcode0919/python-ds-algorithms
0d617b78c50b6c18da40d9fa101438749bfc82e1
[ "MIT" ]
null
null
null
binary_tree/tree_node.py
ahcode0919/python-ds-algorithms
0d617b78c50b6c18da40d9fa101438749bfc82e1
[ "MIT" ]
3
2020-10-07T20:24:45.000Z
2020-12-16T04:53:19.000Z
from typing import Generic, Optional, TypeVar T = TypeVar('T') class TreeNode(Generic[T]): def __init__(self, val: T, left: Optional['TreeNode'] = None, right: Optional['TreeNode'] = None): self.val = val self.left: Optional[TreeNode] = left self.right: Optional[TreeNode] = right
28.363636
102
0.653846
39
312
5.128205
0.410256
0.32
0.2
0
0
0
0
0
0
0
0
0
0.208333
312
10
103
31.2
0.809717
0
0
0
0
0
0.054487
0
0
0
0
0
0
1
0.142857
false
0
0.142857
0
0.428571
0
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ba30e8e927704574df74f6ca9909d3346f8f4924
279
py
Python
Source/Backend/core/brand/models.py
csgn/Price-Tracker
67507b85dac9b0b9c8c975342678ebec3be2b7c0
[ "MIT" ]
null
null
null
Source/Backend/core/brand/models.py
csgn/Price-Tracker
67507b85dac9b0b9c8c975342678ebec3be2b7c0
[ "MIT" ]
4
2021-12-12T10:31:23.000Z
2021-12-12T10:33:46.000Z
Source/Backend/core/brand/models.py
csgn/Price-Tracker
67507b85dac9b0b9c8c975342678ebec3be2b7c0
[ "MIT" ]
null
null
null
from django.db import models class Brand(models.Model): brandid = models.AutoField(primary_key=True) name = models.CharField(max_length=255) url = models.URLField() def __str__(self) -> str: return self.name class Meta: db_table = "brand"
19.928571
48
0.659498
36
279
4.916667
0.722222
0
0
0
0
0
0
0
0
0
0
0.014085
0.236559
279
13
49
21.461538
0.816901
0
0
0
0
0
0.017921
0
0
0
0
0
0
1
0.111111
false
0
0.111111
0.111111
0.888889
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
1
1
0
0
2
ba39ad8f966c582e5538fec775f70acc648227b4
2,515
py
Python
vaccination/models.py
MarioScappini/vaccination-system
ab17ab6e40c7109ac001a8bce5e0de74c4129041
[ "Apache-2.0" ]
null
null
null
vaccination/models.py
MarioScappini/vaccination-system
ab17ab6e40c7109ac001a8bce5e0de74c4129041
[ "Apache-2.0" ]
null
null
null
vaccination/models.py
MarioScappini/vaccination-system
ab17ab6e40c7109ac001a8bce5e0de74c4129041
[ "Apache-2.0" ]
null
null
null
from django.db import models class Person(models.Model): person_ssn = models.IntegerField(primary_key=True,unique=True) person_fname = models.CharField(max_length=20) person_lname = models.CharField(max_length=50) person_email = models.CharField(max_length=70) person_phone = models.CharField(max_length=13) person_addr = models.CharField(max_length=100) def __str__(self): text = str(self.person_ssn) + ' ' + str(self.person_fname) + ' ' + self.person_lname return text class Place(models.Model): place_id = models.IntegerField(primary_key=True,unique=True) place_name = models.CharField(max_length=30) place_addr = models.CharField(max_length=50) def __str__(self): return self.place_name class Vaccine(models.Model): vaccine_id = models.IntegerField(primary_key=True, unique=True, default=123) vaccine_name = models.CharField(max_length=25, unique=True) vaccine_stock = models.IntegerField() vaccine_no_of_shots = models.IntegerField() vaccine_effectivity = models.FloatField() def __str__(self): return self.vaccine_name class Medic(models.Model): medic_ssn = models.IntegerField(primary_key=True,unique=True) medic_type = models.CharField(max_length=25) medic_registry_no = models.CharField(max_length=25, unique=True) medic_fname = models.CharField(max_length=20) medic_lname = models.CharField(max_length=50) medic_email = models.CharField(max_length=70) medic_phone = models.CharField(max_length=13) medic_addr = models.CharField(max_length=100) medic_place = models.ForeignKey(Place, on_delete=models.SET_NULL, null=True) def __str__(self): text = str(self.medic_ssn) + ' ' + str(self.medic_fname) + ' ' + str(self.medic_lname) return text class PlaceHasVaccines(models.Model): stock = models.IntegerField() place_id = models.ForeignKey(Place, on_delete=models.SET_NULL, null=True) vaccine_id = models.ForeignKey(Vaccine, on_delete=models.SET_NULL, null=True) class Appointment(models.Model): appointment_id = models.IntegerField(primary_key=True, default=0) shot_no = models.IntegerField() appointment_date = models.DateTimeField() patient_ssn = models.ForeignKey(Person,on_delete=models.CASCADE, null=True) medic_ssn = models.ForeignKey(Medic, on_delete=models.CASCADE) vaccine_name = models.ForeignKey(Vaccine, on_delete=models.CASCADE) place = models.ForeignKey(Place, on_delete=models.CASCADE)
40.564516
94
0.741948
333
2,515
5.339339
0.186186
0.126547
0.151856
0.202475
0.561305
0.489314
0.23847
0.156355
0.056243
0.056243
0
0.016854
0.150696
2,515
61
95
41.229508
0.815543
0
0
0.12
0
0
0.00159
0
0
0
0
0
0
1
0.08
false
0
0.02
0.04
0.96
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
2
ba3b34526bdea107f31b357b63727eb97f92df00
681
py
Python
Phase-3/Python Challenge/Day-98.py
CodedLadiesInnovateTech/python-challenges
22ce26c68fea6c7c243ada831e47c52e27a62127
[ "MIT" ]
11
2020-05-11T08:41:21.000Z
2022-02-27T08:21:37.000Z
Phase-3/Python Challenge/Day-98.py
CodedLadiesInnovateTech/python-challenges
22ce26c68fea6c7c243ada831e47c52e27a62127
[ "MIT" ]
9
2020-05-12T10:46:06.000Z
2020-05-28T17:37:19.000Z
Phase-3/Python Challenge/Day-98.py
CodedLadiesInnovateTech/python-challenges
22ce26c68fea6c7c243ada831e47c52e27a62127
[ "MIT" ]
44
2020-05-10T20:53:32.000Z
2021-04-25T18:47:08.000Z
''' 1. Write a Python program to find the first triangle number to have over n(given) divisors. From Wikipedia: A triangular number is a number that is the sum of all of the natural numbers up to a certain number. For example, 10 is a triangular number because 1 + 2 + 3 + 4 = 10. The first 25 triangular numbers are: 1, 3, 6, 10, 15, 21, 28, 36, 45, 55, 78, 91, 105, 120, 136, 153, 171, 190, 210, 231, 253, 276, 300, 325, and 351. A triangular number is calculated by the equation: n(n+1)/2 The factors of the first five triangle numbers: 1: 1 3: 1, 3 6: 1, 2, 3, 6 10: 1, 2, 5, 10 15: 1, 3, 5, 15 In the above list 6 is the first triangle number to have over four divisors '''
45.4
335
0.693098
140
681
3.371429
0.5
0.067797
0.108051
0.09322
0.135593
0.135593
0.135593
0
0
0
0
0.182495
0.211454
681
14
336
48.642857
0.696462
0.983847
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
ba412491512590d4b2b56392a3de0dc24ed00c0c
409
py
Python
zstacklib/zstacklib/utils/sqlite.py
qianfei11/zstack-utility
e791bc6b6ae3a74e202f6fce84bde498c715aee8
[ "Apache-2.0" ]
55
2017-02-10T07:55:21.000Z
2021-09-01T00:59:36.000Z
zstacklib/zstacklib/utils/sqlite.py
qianfei11/zstack-utility
e791bc6b6ae3a74e202f6fce84bde498c715aee8
[ "Apache-2.0" ]
106
2017-02-13T09:58:27.000Z
2022-02-15T09:51:48.000Z
zstacklib/zstacklib/utils/sqlite.py
qianfei11/zstack-utility
e791bc6b6ae3a74e202f6fce84bde498c715aee8
[ "Apache-2.0" ]
68
2017-02-13T11:02:01.000Z
2021-12-16T11:02:01.000Z
import sqlite3 class Sqlite(object): def __init__(self, db_path): self.db_path = db_path def __enter__(self): self.connect = sqlite3.connect(self.db_path) return self def __exit__(self, exc_type, exc_val, exc_tb): self.connect.close() def execute(self, *args, **kwargs): with self.connect: return self.connect.execute(*args, **kwargs)
21.526316
56
0.628362
53
409
4.490566
0.433962
0.10084
0.12605
0
0
0
0
0
0
0
0
0.006601
0.259169
409
18
57
22.722222
0.778878
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.083333
0
0.666667
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
1
0
0
0
0
1
0
0
2
ba460ad90cc96679d1642b49c4c05abc44c6e39e
137
py
Python
0263.Ugly Number/test.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
0263.Ugly Number/test.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
0263.Ugly Number/test.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- from solution import Solution num = 14 sol = Solution() res = sol.isUgly(num) print(res)
13.7
29
0.656934
21
137
4.285714
0.761905
0
0
0
0
0
0
0
0
0
0
0.026316
0.167883
137
9
30
15.222222
0.763158
0.306569
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.2
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ba700811c1154629a20195064a5d8762f07b7209
567
py
Python
rl_games/games/q_learner/tests/nac_play_many.py
RacingTadpole/rl-games
209fb1bf4007529cb05d0070075df83a04125672
[ "MIT" ]
null
null
null
rl_games/games/q_learner/tests/nac_play_many.py
RacingTadpole/rl-games
209fb1bf4007529cb05d0070075df83a04125672
[ "MIT" ]
null
null
null
rl_games/games/q_learner/tests/nac_play_many.py
RacingTadpole/rl-games
209fb1bf4007529cb05d0070075df83a04125672
[ "MIT" ]
null
null
null
from typing import Sequence, Dict, Any from rl_games.q_learner.player import Player from rl_games.core.play import play_many from rl_games.games.nac import Nac def nac_play_many( players: Sequence[Player], *args: Any, **kwargs: Any ) -> Dict[str, float]: """ >>> import random >>> from rl_games.q_learner.player import QPlayer >>> random.seed(2) >>> x, o = QPlayer('X'), QPlayer('O') >>> nac_play_many([x, o], range(500)) {'X': 0.46, 'O': 0.208} """ game = Nac() return play_many(game, players, *args, **kwargs)
24.652174
53
0.626102
84
567
4.083333
0.404762
0.069971
0.12828
0.069971
0.180758
0.180758
0.180758
0
0
0
0
0.024554
0.209877
567
22
54
25.772727
0.741071
0.328042
0
0
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.363636
0
0.545455
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
1
0
1
0
0
2
ba75cb232d5cd41181826e2e825d7b6550ae5246
411
py
Python
contests/2020_spring/1.py
clarkchen/leetcode_python
4d26c1ddc9fc827ba12df9f4b4e768da11d7b9bd
[ "Apache-2.0" ]
null
null
null
contests/2020_spring/1.py
clarkchen/leetcode_python
4d26c1ddc9fc827ba12df9f4b4e768da11d7b9bd
[ "Apache-2.0" ]
null
null
null
contests/2020_spring/1.py
clarkchen/leetcode_python
4d26c1ddc9fc827ba12df9f4b4e768da11d7b9bd
[ "Apache-2.0" ]
null
null
null
from typing import List class Solution: def minCount(self, coins: List[int]) -> int: res = [] for x in coins: res.append(x//2+x%2) return sum(res) if __name__ == '__main__': s = Solution() ans = s.minCount([4,2,1]) print(ans) ans = s.minCount([2,3,10]) print(ans) ans = s.minCount([1]) print(ans) ans = s.minCount([2]) print(ans)
18.681818
48
0.530414
60
411
3.5
0.483333
0.07619
0.228571
0.171429
0.304762
0.209524
0.209524
0
0
0
0
0.038596
0.306569
411
22
49
18.681818
0.698246
0
0
0.235294
0
0
0.019417
0
0
0
0
0
0
1
0.058824
false
0
0.058824
0
0.235294
0.235294
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ba7f15f1ec2fec62e15b56bd5cf33ccdafd4addf
557
py
Python
cogs/welcome.py
nihaals/DabbitPrimeBot
a7c0e906a9065e3de7665a5f050c43e2cc11259d
[ "MIT" ]
null
null
null
cogs/welcome.py
nihaals/DabbitPrimeBot
a7c0e906a9065e3de7665a5f050c43e2cc11259d
[ "MIT" ]
null
null
null
cogs/welcome.py
nihaals/DabbitPrimeBot
a7c0e906a9065e3de7665a5f050c43e2cc11259d
[ "MIT" ]
1
2019-12-19T04:14:22.000Z
2019-12-19T04:14:22.000Z
from discord.ext import commands import discord class Welcome(): def __init__(self, bot): self.bot = bot # welcome = False # # @commands.command() # async def welcome(self, ctx, welcome): # welcome = not welcome # await ctx.send(self.bot.blank + "Welcome is set to {}".format(welcome)) # # async def on_member_join(self, member): # if welcome: # await member.guild.default_channel.send("{0.name} joined in {0.joined_at}".format(member)) def setup(bot): bot.add_cog(Welcome(bot))
27.85
104
0.62298
73
557
4.630137
0.520548
0.06213
0
0
0
0
0
0
0
0
0
0.004762
0.245961
557
20
105
27.85
0.8
0.594255
0
0
0
0
0
0
0
0
0
0
0
1
0.285714
false
0
0.285714
0
0.714286
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
1
0
0
0
0
1
0
0
2
ba8a24471d327c96d6edddc78b96f71b779f0847
329
py
Python
{{cookiecutter.project_name}}/wsgi.py
Anyesh/cookiecutter-flask-all-in-one
6ae0a423e8cab23c23756f1ef610643c85b71f32
[ "MIT" ]
35
2020-11-27T09:06:44.000Z
2022-01-31T17:08:41.000Z
{{cookiecutter.project_name}}/wsgi.py
Anyesh/cookiecutter-flask-all-in-one
6ae0a423e8cab23c23756f1ef610643c85b71f32
[ "MIT" ]
1
2021-05-15T17:34:47.000Z
2021-06-04T20:12:59.000Z
{{cookiecutter.project_name}}/wsgi.py
Anyesh/cookiecutter-flask-all-in-one
6ae0a423e8cab23c23756f1ef610643c85b71f32
[ "MIT" ]
2
2020-12-03T13:55:11.000Z
2020-12-08T10:42:03.000Z
"""App entry point.""" from {{cookiecutter.app_name}} import create_app, db, models from {{cookiecutter.app_name}}.manage import cli app = create_app() @app.shell_context_processor def make_shell_context(): return {'db': db, "models": models} if __name__ == "__main__": app.run(host="0.0.0.0", port=5000, debug=True)
23.5
60
0.702128
49
329
4.387755
0.55102
0.027907
0.176744
0.213953
0
0
0
0
0
0
0
0.027972
0.130699
329
13
61
25.307692
0.723776
0
0
0
0
0
0.074919
0
0
0
0
0
0
0
null
null
0
0.25
null
null
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
ba8d1d6e20cb328b8ac8f400b1f860ed4788e4be
740
py
Python
backend/api/migrations/0002_auto_20201229_1654.py
MeRichard123/family-tree-app
472f4aebe99811130fd1288d7cec62ac1a9f10b2
[ "MIT" ]
1
2021-11-24T04:41:47.000Z
2021-11-24T04:41:47.000Z
backend/api/migrations/0002_auto_20201229_1654.py
MeRichard123/family-tree-app
472f4aebe99811130fd1288d7cec62ac1a9f10b2
[ "MIT" ]
5
2021-01-07T21:11:45.000Z
2021-03-14T10:59:51.000Z
backend/api/migrations/0002_auto_20201229_1654.py
MeRichard123/family-tree-app
472f4aebe99811130fd1288d7cec62ac1a9f10b2
[ "MIT" ]
null
null
null
# Generated by Django 3.1.4 on 2020-12-29 16:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.AddField( model_name='aunt', name='spouse', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='cousin', name='spouse', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='uncle', name='spouse', field=models.CharField(blank=True, max_length=100, null=True), ), ]
25.517241
74
0.563514
78
740
5.25641
0.5
0.131707
0.168293
0.197561
0.563415
0.563415
0.563415
0.563415
0.563415
0.563415
0
0.05501
0.312162
740
28
75
26.428571
0.750491
0.060811
0
0.545455
1
0
0.069264
0
0
0
0
0
0
1
0
false
0
0.045455
0
0.181818
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ba90ff316fd938f7888e365fc228063397dcc539
921
py
Python
algorithms/recursion/find_uppercase.py
cakmakaf/python_coding_interview_question
9bca1bff43b03ea747e96ad51b32040da7072aef
[ "MIT" ]
null
null
null
algorithms/recursion/find_uppercase.py
cakmakaf/python_coding_interview_question
9bca1bff43b03ea747e96ad51b32040da7072aef
[ "MIT" ]
null
null
null
algorithms/recursion/find_uppercase.py
cakmakaf/python_coding_interview_question
9bca1bff43b03ea747e96ad51b32040da7072aef
[ "MIT" ]
null
null
null
# Given a string, find the first uppercase character. # Solve using both an iterative and recursive solution. input_str_1 = "lucidProgramming" input_str_2 = "LucidProgramming" input_str_3 = "lucidprogramming" def find_uppercase_iterative(input_str): for i in range(len(input_str)): if input_str[i].isupper(): return input_str[i] return "No uppercase character found" def find_uppercase_recursive(input_str, idx=0): if input_str[idx].isupper(): return input_str[idx] if idx == len(input_str) - 1: return "No uppercase character found" return find_uppercase_recursive(input_str, idx+1) print(find_uppercase_iterative(input_str_1)) print(find_uppercase_iterative(input_str_2)) print(find_uppercase_iterative(input_str_3)) print(find_uppercase_recursive(input_str_1)) print(find_uppercase_recursive(input_str_2)) print(find_uppercase_recursive(input_str_3))
27.088235
55
0.764387
133
921
4.954887
0.270677
0.218513
0.163885
0.204856
0.566009
0.426404
0.109256
0
0
0
0
0.015287
0.147666
921
33
56
27.909091
0.824204
0.114007
0
0.1
0
0
0.128237
0
0
0
0
0
0
1
0.1
false
0
0
0
0.35
0.3
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
ba9fb8a4da40b2e207e6aac7065730689508d65b
301
py
Python
core/models.py
LeonardoCruzx/ListaTarefasBackend
81f6bf5f2c64973fa703a3f96bb8cfb491c8b41b
[ "MIT" ]
1
2020-08-26T23:55:33.000Z
2020-08-26T23:55:33.000Z
core/models.py
LeonardoCruzx/ListaTarefasBackend
81f6bf5f2c64973fa703a3f96bb8cfb491c8b41b
[ "MIT" ]
null
null
null
core/models.py
LeonardoCruzx/ListaTarefasBackend
81f6bf5f2c64973fa703a3f96bb8cfb491c8b41b
[ "MIT" ]
null
null
null
from django.db import models class Category(models.Model): name = models.CharField( max_length=30, null=False, unique=True ) icon = models.CharField( max_length=50, null=False, unique=True ) class Meta: ordering = ["-name"]
18.8125
29
0.561462
33
301
5.060606
0.636364
0.179641
0.215569
0.287425
0
0
0
0
0
0
0
0.020101
0.33887
301
16
30
18.8125
0.819095
0
0
0.285714
0
0
0.016556
0
0
0
0
0
0
1
0
false
0
0.071429
0
0.357143
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
baa8f7c752ca08985bb68e5d9981c4d3125698b1
159
py
Python
easy/even_numbers.py
Amin-Abouee/code_eval
8f0d53d2af128d7b57dd3fc8ff16616252f18a52
[ "MIT" ]
null
null
null
easy/even_numbers.py
Amin-Abouee/code_eval
8f0d53d2af128d7b57dd3fc8ff16616252f18a52
[ "MIT" ]
null
null
null
easy/even_numbers.py
Amin-Abouee/code_eval
8f0d53d2af128d7b57dd3fc8ff16616252f18a52
[ "MIT" ]
null
null
null
import sys with open(sys.argv[1],'r') as test_cases: for test in test_cases: test = test.rstrip() if int(test[-1]) % 2 == 0: print 1 else: print 0
19.875
41
0.622642
30
159
3.233333
0.633333
0.185567
0
0
0
0
0
0
0
0
0
0.04878
0.226415
159
8
42
19.875
0.739837
0
0
0
0
0
0.00625
0
0
0
0
0
0
0
null
null
0
0.125
null
null
0.25
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
bac019df242c71d7cde4fc5acb6134972fe22464
146
py
Python
pages/components/affix/_simple.py
AnnMarieW/dmc-docs
5db1790b61e85209b85adb75ccf6e7462d93f231
[ "MIT" ]
6
2022-01-28T17:12:58.000Z
2022-03-16T01:29:18.000Z
pages/components/affix/_simple.py
AnnMarieW/dmc-docs
5db1790b61e85209b85adb75ccf6e7462d93f231
[ "MIT" ]
1
2022-01-07T21:21:07.000Z
2022-01-22T12:07:28.000Z
pages/components/affix/_simple.py
AnnMarieW/dmc-docs
5db1790b61e85209b85adb75ccf6e7462d93f231
[ "MIT" ]
1
2022-02-05T18:00:36.000Z
2022-02-05T18:00:36.000Z
import dash_mantine_components as dmc component = dmc.Affix( dmc.Button("I'm in an Affix Component"), position={"bottom": 20, "right": 20} )
24.333333
81
0.705479
22
146
4.590909
0.772727
0
0
0
0
0
0
0
0
0
0
0.032258
0.150685
146
5
82
29.2
0.782258
0
0
0
0
0
0.246575
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
bac3098f4d54f2ca5a807259d083483cfa92d751
149
py
Python
helita/__init__.py
jumasy/helita
8f27cb1b7a0165a10028c11f43224a7e5b3dcc40
[ "BSD-3-Clause" ]
null
null
null
helita/__init__.py
jumasy/helita
8f27cb1b7a0165a10028c11f43224a7e5b3dcc40
[ "BSD-3-Clause" ]
null
null
null
helita/__init__.py
jumasy/helita
8f27cb1b7a0165a10028c11f43224a7e5b3dcc40
[ "BSD-3-Clause" ]
null
null
null
""" Helita python library """ __all__ = ["io", "obs", "sim", "utils"] #from . import io #from . import obs #from . import sim #from . import utils
13.545455
39
0.61745
20
149
4.4
0.5
0.454545
0
0
0
0
0
0
0
0
0
0
0.194631
149
10
40
14.9
0.733333
0.610738
0
0
0
0
0.276596
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
1
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
0
2
bad4454cde9c84e9a297ac6f69c2ad754dde7729
1,012
py
Python
migrations/versions/b823ccfc2d9b_.py
karenc/houston
4eaaaf11d61394035e34b55bb847ea7eb4099c61
[ "Apache-2.0" ]
6
2021-04-06T19:50:52.000Z
2022-01-19T17:42:33.000Z
migrations/versions/b823ccfc2d9b_.py
WildMeOrg/houston
8102229421388e44234c07ee6cb73bf705b6fba0
[ "Apache-2.0" ]
491
2021-01-20T01:10:00.000Z
2022-03-31T19:30:48.000Z
migrations/versions/b823ccfc2d9b_.py
karenc/houston
4eaaaf11d61394035e34b55bb847ea7eb4099c61
[ "Apache-2.0" ]
2
2021-03-12T02:33:55.000Z
2021-03-16T20:18:43.000Z
"""empty message Revision ID: b823ccfc2d9b Revises: 2a02d5f72c3b Create Date: 2021-08-10 05:37:19.652762 """ # revision identifiers, used by Alembic. revision = 'b823ccfc2d9b' down_revision = '2a02d5f72c3b' from alembic import op import sqlalchemy as sa import sqlalchemy_utils import app import app.extensions def upgrade(): """ Upgrade Semantic Description: ENTER DESCRIPTION HERE """ # ### commands auto generated by Alembic - please adjust! ### with op.batch_alter_table('collaboration', schema=None) as batch_op: batch_op.drop_column('title') # ### end Alembic commands ### def downgrade(): """ Downgrade Semantic Description: ENTER DESCRIPTION HERE """ # ### commands auto generated by Alembic - please adjust! ### with op.batch_alter_table('collaboration', schema=None) as batch_op: batch_op.add_column(sa.Column('title', sa.VARCHAR(length=50), autoincrement=False, nullable=True)) # ### end Alembic commands ###
23
106
0.690711
120
1,012
5.725
0.508333
0.040757
0.069869
0.101892
0.41048
0.41048
0.41048
0.41048
0.41048
0.41048
0
0.056581
0.19664
1,012
43
107
23.534884
0.788438
0.406126
0
0.153846
0
0
0.114068
0
0
0
0
0
0
1
0.153846
false
0
0.384615
0
0.538462
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
1
0
1
0
0
2
bad9fcbb774a307e2f2f29f4b18913a49ea23702
1,278
py
Python
one_time_scripts/alter_2018-10-20.py
nilfoer/mangadb
860d7de310002735631ea26810b4df5b6bc08d7b
[ "MIT" ]
3
2021-01-14T16:22:41.000Z
2022-02-21T03:31:22.000Z
one_time_scripts/alter_2018-10-20.py
nilfoer/mangadb
860d7de310002735631ea26810b4df5b6bc08d7b
[ "MIT" ]
13
2021-01-14T10:34:19.000Z
2021-05-20T08:47:54.000Z
one_time_scripts/alter_2018-10-20.py
nilfoer/mangadb
860d7de310002735631ea26810b4df5b6bc08d7b
[ "MIT" ]
1
2022-02-24T03:10:04.000Z
2022-02-24T03:10:04.000Z
import sqlite3 db_con = sqlite3.connect("./manga_db.sqlite", detect_types=sqlite3.PARSE_DECLTYPES) db_con.row_factory = sqlite3.Row with db_con: c = db_con.executescript(""" PRAGMA foreign_keys=off; BEGIN TRANSACTION; DROP INDEX IF EXISTS id_onpage_on_site; CREATE INDEX IF NOT EXISTS idx_id_onpage_imported_from ON ExternalInfo (id_onpage, imported_from); CREATE UNIQUE INDEX IF NOT EXISTS idx_artist_name ON Artist (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_category_name ON Category (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_character_name ON Character (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_collection_name ON Collection (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_groups_name ON Groups (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_list_name ON List (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_parody_name ON Parody (name); CREATE UNIQUE INDEX IF NOT EXISTS idx_tag_name ON Tag (name); DROP TRIGGER IF EXISTS set_last_update_ext_info; COMMIT; PRAGMA foreign_keys=on; """)
42.6
91
0.634585
167
1,278
4.622754
0.317365
0.090674
0.11658
0.186529
0.382124
0.357513
0.357513
0.317358
0
0
0
0.004582
0.316901
1,278
29
92
44.068966
0.879725
0
0
0
0
0
0.869327
0.040689
0
0
0
0
0
1
0
false
0
0.136364
0
0.136364
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
bae10c8fc1289fb8fb67ea46991675a0983cce20
77
py
Python
protos/__init__.py
oktoshi/OpenBazaar-Server
605644c628db0d472e85380c4f16fafc13631991
[ "MIT" ]
723
2015-08-19T08:43:06.000Z
2022-01-25T10:34:27.000Z
protos/__init__.py
oktoshi/OpenBazaar-Server
605644c628db0d472e85380c4f16fafc13631991
[ "MIT" ]
470
2015-08-18T21:18:46.000Z
2018-07-03T21:36:03.000Z
protos/__init__.py
mrudtf/OpenBazaar-Server
a3964b8337a2eb0815c29145d67782c5de1ada73
[ "MIT" ]
250
2015-08-19T03:01:02.000Z
2022-01-23T21:05:25.000Z
__author__ = 'chris' """ Package for holding all of our protobuf classes """
15.4
47
0.714286
10
77
5.1
1
0
0
0
0
0
0
0
0
0
0
0
0.168831
77
4
48
19.25
0.796875
0
0
0
0
0
0.227273
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
bae4690386f4d9932794ad10275725784ea3dd63
356
py
Python
api/helper.py
vvatelot/ecoindex_api
03ffe03c3e3d4e296b91e2396e90020a9ff2b33a
[ "MIT" ]
null
null
null
api/helper.py
vvatelot/ecoindex_api
03ffe03c3e3d4e296b91e2396e90020a9ff2b33a
[ "MIT" ]
null
null
null
api/helper.py
vvatelot/ecoindex_api
03ffe03c3e3d4e296b91e2396e90020a9ff2b33a
[ "MIT" ]
null
null
null
from api.models.responses import ExceptionResponse def format_exception_response(exception: Exception) -> ExceptionResponse: return ExceptionResponse( exception=type(exception).__name__, args=[arg for arg in exception.args if arg] if exception.args else [], message=exception.msg if hasattr(exception, "msg") else None, )
35.6
78
0.733146
41
356
6.219512
0.560976
0.101961
0
0
0
0
0
0
0
0
0
0
0.179775
356
9
79
39.555556
0.873288
0
0
0
0
0
0.008427
0
0
0
0
0
0
1
0.142857
false
0
0.142857
0.142857
0.428571
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
1
0
0
0
2
baed839ee27f857c852b45297668c2d66d6970ae
163
py
Python
Driver.py
LeChosenOne/ClassifierToolkit
c601c212d98b949bd96f4badd08a27daeb0d283b
[ "MIT" ]
null
null
null
Driver.py
LeChosenOne/ClassifierToolkit
c601c212d98b949bd96f4badd08a27daeb0d283b
[ "MIT" ]
null
null
null
Driver.py
LeChosenOne/ClassifierToolkit
c601c212d98b949bd96f4badd08a27daeb0d283b
[ "MIT" ]
null
null
null
from ClassifierToolkit import NeuralNet classifier = NeuralNet() data = [[0,1], [1,1], [12,12], [10,10]] labels = [1,2,3,4] classifier.train(data, labels, (2,2))
23.285714
39
0.662577
26
163
4.153846
0.576923
0.037037
0
0
0
0
0
0
0
0
0
0.125874
0.122699
163
6
40
27.166667
0.629371
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
24087838c39f6708ba17e72353be93ed95c7cbca
111
py
Python
pynger/types.py
DottD/pynger
9a24b43a2170234e5059a54ed20329e036260b0a
[ "MIT" ]
1
2021-11-10T16:37:28.000Z
2021-11-10T16:37:28.000Z
pynger/types.py
DottD/pynger
9a24b43a2170234e5059a54ed20329e036260b0a
[ "MIT" ]
null
null
null
pynger/types.py
DottD/pynger
9a24b43a2170234e5059a54ed20329e036260b0a
[ "MIT" ]
null
null
null
from typing import * Field = NewType('Field', Any) Image = NewType('Image', Any) Mask = NewType('Mask', Any)
15.857143
29
0.666667
15
111
4.933333
0.533333
0
0
0
0
0
0
0
0
0
0
0
0.162162
111
6
30
18.5
0.795699
0
0
0
0
0
0.126126
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
24099237d47bb52d216dc44074d5358af13639ba
1,656
py
Python
setup.py
maria-thom/currencycloud-python
ad02b72adc6ff46c31fadedb6575090e7c6eece6
[ "MIT" ]
null
null
null
setup.py
maria-thom/currencycloud-python
ad02b72adc6ff46c31fadedb6575090e7c6eece6
[ "MIT" ]
null
null
null
setup.py
maria-thom/currencycloud-python
ad02b72adc6ff46c31fadedb6575090e7c6eece6
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- encoding: utf-8 -*- from glob import glob from os.path import basename from os.path import splitext from setuptools import find_packages from setuptools import setup setup( name='currency_cloud', version='4.6.0', license='MIT', description="Python SDK for the Currencycloud API.", long_description='', author='Currencycloud', author_email='sdk@currencycloud.com', url='https://github.com/CurrencyCloud/currencycloud-python', packages=find_packages('src'), package_dir={'': 'src'}, py_modules=[splitext(basename(path))[0] for path in glob('src/*.py')], include_package_data=True, classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Python Modules", ], keywords=[], install_requires=['requests', 'PyYAML', 'deprecation'], tests_require=[ 'pytest', 'mock', 'requests-mock', 'betamax', 'betamax-serializers' ], test_suite='tests' )
31.846154
75
0.628623
174
1,656
5.913793
0.5
0.184645
0.242954
0.151604
0.052478
0
0
0
0
0
0
0.015516
0.221618
1,656
51
76
32.470588
0.782777
0.02657
0
0.047619
0
0
0.51118
0.013043
0
0
0
0
0
1
0
true
0
0.119048
0
0.119048
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2