xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

745fd82ce62ab2730c797bebd1dec7307747441a

2,612

py

Python

leviathan/__init__.py

scottywz/leviathan-player

31e19efd0e88959455371dd605981d98bddd388b

[ "Apache-2.0" ]

null

leviathan/__init__.py

scottywz/leviathan-player

31e19efd0e88959455371dd605981d98bddd388b

[ "Apache-2.0" ]

null

leviathan/__init__.py

scottywz/leviathan-player

31e19efd0e88959455371dd605981d98bddd388b

[ "Apache-2.0" ]

null

# Leviathan Music Manager # A command-line utility to manage your music collection. # # Copyright (C) 2010-2011, 2020 S. Zeid # https://code.s.zeid.me/leviathan # # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. # # # EXCEPTION: Any version of this program, modified or otherwise, or any portion # or modified portion of this program, which does not use or import the Mutagen # audio tagging library may (at your option) be used under the following X11 # License instead of the GNU General Public License (this condition is also # satisfied when this program is imported and used as a library without calling # its `enable_gpl()` function): # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # Except as contained in this notice, the name(s) of the above copyright holders # shall not be used in advertising or otherwise to promote the sale, use or # other dealings in this Software without prior written authorization. __author__ = "S. Zeid <s@zeid.me>" __version__ = "0.1" from leviathan import *

45.824561

80

0.765697

409

2,612

4.867971

0.444988

0.044199

0.026118

0.038172

0.103466

0.04219

0

0.007907

0.176876

2,612

56

81

46.642857

0.91814

0.929939

0

0.165414

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

2

7464f1b7a4e383c5cf1c59e3f31706e1bfe39944

1,858

py

Python

scenario-generator.py

mdenesfe/scenario-generator

1ab85092669d8d75a361520640285735d0284bc7

[ "MIT" ]

null

scenario-generator.py

mdenesfe/scenario-generator

1ab85092669d8d75a361520640285735d0284bc7

[ "MIT" ]

null

scenario-generator.py

mdenesfe/scenario-generator

1ab85092669d8d75a361520640285735d0284bc7

[ "MIT" ]

null

basrol = input("Başrolün ismi: ") kardes = input("Başrolün Ağabeyi: ") anne = input("Başrolün Annesi: ") baba = input("Başrolün Babası: ") sevgili1 = input("Basrolun Sevdiği: ") arkadas = input("Başrolün Yakın Arkadaşı: ") mekan = input("Nerede: ") isyeri = input("Nerede Çalışıyorlar: ") print ("------------------------------------------") print(basrol, "ve ",kardes," kardeştir.") print("Anneleri ",anne,", babaları ",baba,"'dir.") print(basrol,", ağabeyinin ve ",sevgili1,"'nin" ,mekan,"nde, ",kardes," ve ",sevgili1,"'nin fotoğrafını çeken fotoğrafçı ile tartışmış ve fotoğrafçının kamerasını kırmıştır.") print("Fotoğrafçının kamerasını kırması üzerine, kameranın parasını çıkartmak için ağabeyi ile birlikte ",isyeri," işine girip para biriktirmiştir.") print("Kazandığı para ile birlikte âşık olduğu ",sevgili1,"'ye hediye almıştır ve ",sevgili1,"'ye aldığı hediyeyi verip açılmayı planlayan ",basrol,", ağabeyi ",kardes," ile ",sevgili1,"'yi öpüşürken görmüştür.") print("Bu olaydan sonra",basrol," eve gitmiş ve babasının, Kameranın parası nerede? diye sormasının ardından babası ile tartışmıştır.") print("Tartışma sırasında evin annesi ",anne,", çocuğu ve eşini ayırmak için araya girmiş ve baba ",baba,", eşine tokat atmıştır.") print("Buna dayanamayan ",basrol," babasına yumruk atmış ve iş arabasını alıp evden kaçmıştır.") print("Arkadaşı ",arkadas," ile alkol alan ",basrol,"'i, ",kardes," gelip almıştır.") print("Arabayla eve giderken ",kardes," ile tartışmıştır ve bu tartışma sırasında ",kardes," önüne çıkan genci fark etmeyip ona çarpmıştır ve genç ölmüştür.") print("Olaydan sonraki gün ",kardes,"'in üniversite sınavı olduğu için suçu ",basrol," üstlenmiştir ve",basrol," 4 yıl hapis cezasına çarptırılmıştır.") print("hikâye de bu şekilde başlar.") print ("------------------------------------------")

71.461538

213

0.700753

219

1,858

5.945205

0.570776

0.049923

0.019969

0

0.004316

0.127018

1,858

25

214

74.32

0.798397

0

0.090909

0

0.691762

0.045827

0

1

0

false

0

0.636364

0

null

0

1

0

null

0

1

0

2

74697367474506ce045f60ccd43ed3d1a6431709

1,218

py

Python

database/buyer.py

mithilesh1024/Callback-Warrior_ShoppingMart

33aaaaee720c0d8c7e3f337c5cab0e4a438a8742

[ "MIT" ]

null

database/buyer.py

mithilesh1024/Callback-Warrior_ShoppingMart

33aaaaee720c0d8c7e3f337c5cab0e4a438a8742

[ "MIT" ]

null

database/buyer.py

mithilesh1024/Callback-Warrior_ShoppingMart

33aaaaee720c0d8c7e3f337c5cab0e4a438a8742

[ "MIT" ]

3

2020-11-19T11:05:48.000Z

2020-11-21T16:06:55.000Z

from flask_sqlalchemy import SQLAlchemy class Seller(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(120), unique=True, nullable=False) email = db.Column(db.String(120), unique=True, nullable=False) password = db.Column(db.String(60), nullable=False) address = db.Column(db.String(255), nullable=False) phoneNo = db.Column(db.Integer(10), nullable=False) companyName = db.Column(db.String(255), unique=True, nullable=False) def __init__(self, name, email, password , address, phoneNo): self.name = name self.email = email self.password = password self.address = address self.phoneNo = phoneNo class Products(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(120),unique=True,nullable=False) image = db.Column(db.String(120), nullable=False,default='default.jpg') price = db.Column(db.Interger(10), nullable=False, default=0) description = db.Column(db.String(500), nullable=False) def __init__(self,name,image,price,description): self.name = name self.image = image self.price = price self.description = description

38.0625

75

0.679803

164

1,218

4.981707

0.243902

0.117503

0.146879

0.156671

0.400245

0.330477

0.261934

0.210526

0

0.02834

0.188834

1,218

31

76

39.290323

0.798583

0

0.230769

0

0.009031

0

1

0.076923

false

0.115385

0.038462

0

0.653846

0

null

0

null

0

1

0

1

0

2

7470ca62a35741134194bea5b06bd86ec8e473b6

1,248

py

Python

ymidi/containers.py

Owen-Cochell/yapmidi

50a3a1800375a3f390eb40628387fb3d2a520b8e

[ "MIT" ]

null

ymidi/containers.py

Owen-Cochell/yapmidi

50a3a1800375a3f390eb40628387fb3d2a520b8e

[ "MIT" ]

null

ymidi/containers.py

Owen-Cochell/yapmidi

50a3a1800375a3f390eb40628387fb3d2a520b8e

[ "MIT" ]

null

""" Components that house MIDI events and other misc. data, """ from dataclasses import dataclass class TrackInfo(dataclass): """ An object that contains info about a specific track. The data in this object is used for keeping track of track statistics. We allow for these attributes to be manually defined, and we also allow for auto-track traversal to fill in this info. """ pass class TrackPattern(list): """ A collection of tracks. We contain a list of tracks that contain MIDI events. We keep track(haha) of statistics and data related to the MIDI data we contain. We do this by handling Meta events and yap-events. We also support playback of the MIDI data. This includes ALL MIDI track types, and supports tracks that are playing at diffrent speeds. """ pass class Track(list): """ A track of MIDI events. We offer some useful helper methods that make altering and adding MIDI events a relatively painless affair. We inherit the default python list, so we support all list operations. """ def __init__(self, *args): super().__init__(*args) self.name = '' # Name of the track

24

74

0.668269

177

1,248

4.666667

0.514124

0.048426

0.029056

0

0.275641

1,248

51

75

24.470588

0.913717

0.697917

0

0.222222

0

1

0.111111

false

0.222222

0.111111

0

0.555556

0

null

0

null

0

1

0

1

0

2

7475ef869a204c884139e57953853f7580e07de3

373

py

Python

deepRec1/dataloader4mlleatestWithTs.py

meannoharm/movie_recommend

aa1b82c82d3e66db62e50568414c5b4a1cfa92b6

[ "MIT" ]

null

deepRec1/dataloader4mlleatestWithTs.py

meannoharm/movie_recommend

aa1b82c82d3e66db62e50568414c5b4a1cfa92b6

[ "MIT" ]

null

deepRec1/dataloader4mlleatestWithTs.py

meannoharm/movie_recommend

aa1b82c82d3e66db62e50568414c5b4a1cfa92b6

[ "MIT" ]

null

from utils import osUtils as ou import random from tqdm import tqdm from data_set import filepaths as fp import pandas as pd def readRecData(path,test_ratio = 0.1): df = pd.read_csv(path,sep='\t',header=None) a = df.sort_values(by=[0,3],axis=0) a.to_csv('a.csv') print(a) return if __name__ == '__main__': readRecData(fp.Ml_latest_small.RATING_TS)

24.866667

47

0.707775

66

373

3.757576

0.681818

0

0.016234

0.174263

373

15

48

24.866667

0.788961

0

0.040107

0

1

0.076923

false

0

0.384615

0

0.538462

0.076923

0

null

0

null

0

1

0

1

0

2

747932e9a643cbc1f76b22228d6a2b69edf0bc39

118

py

Python

anyfix_globals.py

alexander-liao/anyfix

d72e53d9382eb1a85dc2ff5ebc6a80094c5e9f57

[ "Unlicense" ]

4

2019-12-01T11:05:00.000Z

2020-12-22T14:33:52.000Z

anyfix_globals.py

hyper-neutrino/anyfix

d72e53d9382eb1a85dc2ff5ebc6a80094c5e9f57

[ "Unlicense" ]

null

anyfix_globals.py

hyper-neutrino/anyfix

d72e53d9382eb1a85dc2ff5ebc6a80094c5e9f57

[ "Unlicense" ]

1

2017-06-19T18:34:06.000Z

values = { 'r': 0.000000000001 } typers = { 'r': float } def setGlobal(key, value): values[key] = value

10.727273

26

0.559322

14

118

4.714286

0.714286

0.242424

0

0.151163

0.271186

118

10

27

11.8

0.616279

0

0.016949

0

1

0.125

false

0

0.125

0

1

0

null

1

0

null

0

2

74992e791f0bfb3da96a37fdd4a8ed363d8aa216

1,976

py

Python

gfxlcd/demos/ssd.py

bkosciow/gfxlcd

953d013abb9b695c2226b348093cc64391a01f6c

[ "MIT" ]

12

2018-01-31T18:43:23.000Z

2021-10-06T10:23:05.000Z

gfxlcd/demos/ssd.py

bkosciow/gfxlcd

953d013abb9b695c2226b348093cc64391a01f6c

[ "MIT" ]

4

2018-04-25T15:15:16.000Z

2021-03-21T09:21:50.000Z

gfxlcd/demos/ssd.py

bkosciow/gfxlcd

953d013abb9b695c2226b348093cc64391a01f6c

[ "MIT" ]

4

2018-03-15T09:12:09.000Z

2021-03-19T20:07:33.000Z

import random import sys sys.path.append("../../") from gfxlcd.driver.ssd1306.spi import SPI from gfxlcd.driver.ssd1306.ssd1306 import SSD1306 def hole(x, y): o.draw_pixel(x+1, y) o.draw_pixel(x+2, y) o.draw_pixel(x+3, y) o.draw_pixel(x+1, y + 4) o.draw_pixel(x+2, y + 4) o.draw_pixel(x+3, y + 4) o.draw_pixel(x, y + 1) o.draw_pixel(x+4, y + 1) o.draw_pixel(x, y + 2) o.draw_pixel(x+4, y + 2) o.draw_pixel(x, y + 3) o.draw_pixel(x+4, y + 3) drv = SPI() o = SSD1306(128, 64, drv) o.init() o.auto_flush = False for _ in range(0, 50): hole(random.randint(2, 120), random.randint(2, 56)) hole(10, 10) hole(15, 13) hole(18, 23) hole(40, 10) o.flush(True) # o.fill(0) # # o.fill(random.randint(0, 255)) # # o.draw_pixels(2, 0, 128) # o.draw_pixels(3, 0, 128) # o.draw_pixels(7, 0, 128) # o.draw_pixels(8, 0, 128) # o.draw_pixels(1, 9, 7) # o.draw_pixels(9, 9, 7) # o.draw_pixels(2, 9, 8) # o.draw_pixels(3, 9, 16) # o.draw_pixels(4, 9, 33) # o.draw_pixels(5, 9, 66) # o.draw_pixels(6, 9, 33) # o.draw_pixels(7, 9, 16) # o.draw_pixels(8, 9, 8) # # o.draw_pixels(15, 9, 127) # o.draw_pixels(16, 9, 65) # o.draw_pixels(17, 9, 65) # o.draw_pixels(18, 9, 62) # # o.draw_pixels(20, 9, 38) # o.draw_pixels(21, 9, 73) # o.draw_pixels(22, 9, 73) # o.draw_pixels(23, 9, 50) # # o.draw_pixels(25, 9, 127) # o.draw_pixels(26, 9, 9) # o.draw_pixels(27, 9, 9) # o.draw_pixels(28, 9, 6) # # o.draw_pixels(30, 9, 98) # o.draw_pixels(31, 9, 81) # o.draw_pixels(32, 9, 73) # o.draw_pixels(33, 9, 70) # # o.draw_pixels(35, 9, 62) # o.draw_pixels(36, 9, 65) # o.draw_pixels(37, 9, 65) # o.draw_pixels(38, 9, 62) # # o.draw_pixels(40, 9, 4) # o.draw_pixels(41, 9, 2+64) # o.draw_pixels(42, 9, 127) # o.draw_pixels(43, 9, 64) # # o.draw_pixels(40, 9, 4) # o.draw_pixels(41, 9, 2+64) # o.draw_pixels(42, 9, 127) # o.draw_pixels(43, 9, 64) # # o.draw_pixels(45, 9, 97) # o.draw_pixels(46, 9, 25) # o.draw_pixels(47, 9, 5) # o.draw_pixels(48, 9, 3)

21.247312

55

0.612348

426

1,976

2.701878

0.197183

0.247611

0.430061

0.114683

0.56907

0.261512

0.146829

0.122502

0

0.174312

0.172571

1,976

92

56

21.478261

0.529664

0.583502

0

0.007843

0

1

0.034483

false

0

0.137931

0

0.172414

0

null

1

0

null

0

2

776b585e85359cdc8f805318534efb9b4298e5fa

480

py

Python

core/apps/accounts/urls.py

dansackett/django-project-template

12264a8300442afda9cb207d7db24e55149d6355

[ "MIT" ]

4

2017-02-08T19:15:48.000Z

2019-08-19T01:53:18.000Z

core/apps/accounts/urls.py

dansackett/django-project-template

12264a8300442afda9cb207d7db24e55149d6355

[ "MIT" ]

3

2017-01-24T15:05:55.000Z

2019-11-01T17:26:07.000Z

core/apps/accounts/urls.py

dansackett/django-project-template

12264a8300442afda9cb207d7db24e55149d6355

[ "MIT" ]

6

2017-01-23T23:09:05.000Z

2019-11-18T10:45:27.000Z

from django.conf.urls import url from accounts import views as account_views urlpatterns = [ url(r'users/$', account_views.users_list, name='users-list'), url(r'users/new/$', account_views.user_create, name='user-create'), url(r'user/(?P<pk>\d+)/$', account_views.user_single, name='user-single'), url(r'user/(?P<pk>\d+)/edit/$', account_views.user_edit, name='user-edit'), url(r'user/(?P<pk>\d+)/delete/$', account_views.user_delete, name='user-delete'), ]

40

85

0.68125

76

480

4.157895

0.315789

0.227848

0.202532

0.085443

0.113924

0

0.10625

480

11

86

43.636364

0.736597

0

0.283333

0.1

0

1

0

false

0

0.222222

0

0.222222

0

null

1

0

null

0

2

77746bbadb5cbe2a734fb9a9f8421987eac86fea

807

py

Python

patterndetector/detector/engulfing_candle_detector.py

WynnD/PatternDetector

dc25e15b101a066f96a62898a7cb4ec6535d4eb5

[ "MIT" ]

1

2020-12-08T06:56:33.000Z

patterndetector/detector/engulfing_candle_detector.py

ajmal017/PatternDetector

f71ae4c38481bd88956a8ef2ef162a1b7e617808

[ "MIT" ]

4

2020-08-03T16:29:31.000Z

2021-02-24T22:51:33.000Z

patterndetector/detector/engulfing_candle_detector.py

ajmal017/PatternDetector

f71ae4c38481bd88956a8ef2ef162a1b7e617808

[ "MIT" ]

1

2020-12-08T06:56:25.000Z

from .detector import Detector from patterndetector.data import Data class EngulfingCandleDetector(Detector): def __init__(self, data: Data): super().__init__(data) @property def name(self): return 'Engulfing Candle' def isPattern(self, ticker): openPrice = self.data.getOpeningPriceNDaysAgo(ticker, days=0) openPrice2 = self.data.getOpeningPriceNDaysAgo(ticker, days=1) closePrice = self.data.getClosingPriceNDaysAgo(ticker, days=0) closePrice2 = self.data.getClosingPriceNDaysAgo(ticker, days=1) return (closePrice > openPrice2 and openPrice < closePrice2 and openPrice2 > closePrice2 and openPrice < closePrice) or (openPrice > closePrice2 and closePrice < openPrice2 and closePrice2 > openPrice2 and closePrice < openPrice)

44.833333

237

0.732342

83

807

7.024096

0.349398

0.068611

0.106346

0.12693

0.281304

0

0.021341

0.187113

807

17

238

47.470588

0.867378

0

0.019827

0

1

0.214286

false

0

0.142857

0.071429

0.571429

0

null

0

null

0

1

0

1

0

2

777d64d8f54b28b97381150b318ea3b3a8373ffa

94

py

Python

stepik/programming_on_python/3_2_6_my_solve.py

anklav24/Python-Education

49ebcfabda1376390ee71e1fe321a51e33831f9e

[ "Apache-2.0" ]

null

stepik/programming_on_python/3_2_6_my_solve.py

anklav24/Python-Education

49ebcfabda1376390ee71e1fe321a51e33831f9e

[ "Apache-2.0" ]

null

stepik/programming_on_python/3_2_6_my_solve.py

anklav24/Python-Education

49ebcfabda1376390ee71e1fe321a51e33831f9e

[ "Apache-2.0" ]

null

string = input().lower().split() for word in set(string): print(word, string.count(word))

23.5

35

0.670213

14

94

4.5

0.714286

0

0.138298

94

3

36

31.333333

0.777778

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

777f9aa04f81ef4641223c242df10f646f2bc740

559

py

Python

week2/2.03 for/step03 multiplication table.py

project-cemetery/stepik-programming-on-python

3ca4e6a74b9ca5deb50336737fe2e6d74722a95f

[ "MIT" ]

7

2020-08-03T22:10:29.000Z

2022-02-23T16:08:44.000Z

week2/2.03 for/step03 multiplication table.py

Joni2701/stepik-programming-on-python

3ca4e6a74b9ca5deb50336737fe2e6d74722a95f

[ "MIT" ]

null

week2/2.03 for/step03 multiplication table.py

Joni2701/stepik-programming-on-python

3ca4e6a74b9ca5deb50336737fe2e6d74722a95f

[ "MIT" ]

9

2020-05-19T16:42:39.000Z

2022-02-24T22:41:21.000Z

def print_multiplication_table(vertical_interval, horizontal_interval): print('\t', end='') for i in range(horizontal_interval[0], horizontal_interval[1] + 1): print(i, end='\t') print() for i in range(vertical_interval[0], vertical_interval[1] + 1): print(i, end='\t') for j in range(horizontal_interval[0], horizontal_interval[1] + 1): print(i * j, end='\t') print() intervals = (int(input()), int(input())), (int(input()), int(input())) print_multiplication_table(intervals[0], intervals[1])

32.882353

75

0.633274

75

559

4.56

0.253333

0.263158

0.087719

0.131579

0.467836

0.374269

0.304094

0

0.02439

0.193202

559

16

76

34.9375

0.733925

0

0.333333

0

0.014311

0

1

0.083333

false

0

0.083333

0.666667

0

null

1

0

null

0

1

0

2

778043d5864b69a00bdc1a821a0324321bcfd44b

599

py

Python

groups/templatetags/group_tags.py

AgentGeek/MangAdventure

48d8e21355e5dc8122a6833d092190d79fef1674

[ "MIT" ]

2

2018-09-24T03:46:55.000Z

2018-10-12T16:20:25.000Z

groups/templatetags/group_tags.py

AgentGeek/MangAdventure

48d8e21355e5dc8122a6833d092190d79fef1674

[ "MIT" ]

6

2018-10-08T15:59:40.000Z

2019-02-02T16:35:33.000Z

groups/templatetags/group_tags.py

AgentGeek/MangAdventure

48d8e21355e5dc8122a6833d092190d79fef1674

[ "MIT" ]

null

"""Template tags of the groups app.""" from __future__ import annotations from typing import TYPE_CHECKING from django.template.defaultfilters import register if TYPE_CHECKING: # pragma: no cover from groups.models import Group, Member @register.filter def group_roles(member: Member, group: Group) -> str: """ Get the roles of the member within the group. :param member: A ``Member`` model instance. :param group: A ``Group``` model instance. :return: A comma-separated list of roles. """ return member.get_roles(group) or 'N/A' __all__ = ['group_roles']

22.185185

53

0.704508

82

599

4.987805

0.487805

0.02445

0

0.193656

599

26

54

23.038462

0.846791

0.378965

0

0.041298

0

1

0.111111

false

0

0.444444

0

0.666667

0

null

0

null

0

1

0

1

0

2

779ddf463b66eb24f675d17d27c6919930f89723

188

py

Python

menu/context_processors.py

douglasPinheiro/nirvaris-menu

3f2d09adbcda1ee5145966bcb2c9b40d9d934f49

[ "MIT" ]

null

menu/context_processors.py

douglasPinheiro/nirvaris-menu

3f2d09adbcda1ee5145966bcb2c9b40d9d934f49

[ "MIT" ]

null

menu/context_processors.py

douglasPinheiro/nirvaris-menu

3f2d09adbcda1ee5145966bcb2c9b40d9d934f49

[ "MIT" ]

null

def globals(request): #import pdb #pdb.set_trace() data = {} if 'menu_item' in request.session: data['menu_item'] = request.session['menu_item'] return data

17.090909

56

0.611702

24

188

4.625

0.583333

0.216216

0

0.255319

188

10

57

18.8

0.792857

0.132979

0

0.16875

0

1

0.2

false

0

0.4

0

1

0

null

1

0

null

0

2

779fc28c39695eb6df6d6b4def228165b9c64ed4

367

py

Python

altimeter/qj/api/v1/api.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

48

2019-11-06T03:20:53.000Z

2022-02-22T21:10:45.000Z

altimeter/qj/api/v1/api.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

27

2020-01-07T23:48:30.000Z

2022-02-26T00:24:04.000Z

altimeter/qj/api/v1/api.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

21

2019-12-20T03:06:35.000Z

2021-12-15T23:26:00.000Z

"""V1 API router""" from fastapi import APIRouter from altimeter.qj.api.v1.endpoints.jobs import JOBS_ROUTER from altimeter.qj.api.v1.endpoints.result_sets import RESULT_SETS_ROUTER V1_ROUTER = APIRouter() V1_ROUTER.include_router(JOBS_ROUTER, prefix="/jobs", tags=["jobs"]) V1_ROUTER.include_router(RESULT_SETS_ROUTER, prefix="/result_sets", tags=["result_sets"])

36.7

89

0.80109

55

367

5.090909

0.290909

0.178571

0.107143

0.128571

0.207143

0

0.017595

0.070845

367

9

90

40.777778

0.803519

0.035422

0

0.091954

0

1

0

false

0

0.5

0

0.5

0

null

0

1

0

null

0

1

0

2

77ac851550267c373f184de9966d3e44cba6878f

1,595

py

Python

tests/parlaclarin/parse_test.py

welfare-state-analytics/pyriksprot

a7dab9246c3d9bb1cf19543208bc72fbacb9e909

[ "MIT" ]

null

tests/parlaclarin/parse_test.py

welfare-state-analytics/pyriksprot

a7dab9246c3d9bb1cf19543208bc72fbacb9e909

[ "MIT" ]

19

2021-09-21T16:24:14.000Z

2022-03-31T10:06:50.000Z

tests/parlaclarin/parse_test.py

welfare-state-analytics/pyriksprot

a7dab9246c3d9bb1cf19543208bc72fbacb9e909

[ "MIT" ]

null

import os import pytest from pyriksprot import interface from pyriksprot.corpus import parlaclarin from ..utility import RIKSPROT_PARLACLARIN_FAKE_FOLDER, RIKSPROT_PARLACLARIN_FOLDER jj = os.path.join def test_to_protocol_in_depth_validation_of_correct_parlaclarin_xml(): protocol: interface.Protocol = parlaclarin.ProtocolMapper.to_protocol( jj(RIKSPROT_PARLACLARIN_FAKE_FOLDER, "prot-1958-fake.xml") ) assert protocol is not None assert len(protocol.utterances) == 4 assert len(protocol) == 4 assert protocol.name == 'prot-1958-fake' assert protocol.date == '1958' assert protocol.has_text, 'has text' assert protocol.checksum(), 'checksum' # FIXME: More checks @pytest.mark.parametrize( 'filename', [ ("prot-197879--14.xml"), ], ) def test_parlaclarin_xml_with_no_utterances(filename): path: str = jj(RIKSPROT_PARLACLARIN_FOLDER, "protocols", filename.split('-')[1], filename) protocol = parlaclarin.ProtocolMapper.to_protocol(path, segment_skip_size=0) assert len(protocol.utterances) == 0, "utterances empty" assert not protocol.has_text # FIXME: More checks def test_to_protocol_by_untangle(): filename = jj(RIKSPROT_PARLACLARIN_FAKE_FOLDER, "prot-1958-fake.xml") protocol: parlaclarin.XmlUntangleProtocol = parlaclarin.XmlUntangleProtocol(filename) assert protocol is not None assert len(protocol.utterances) == 4 assert len(protocol) == 4 assert protocol.name == 'prot-1958-fake' assert protocol.date == '1958' assert protocol.has_text, 'has text'

27.033898

94

0.732915

195

1,595

5.8

0.317949

0.111406

0.075155

0.076923

0.420866

0.344828

0.263484

0

0.029367

0.167398

1,595

58

95

27.5

0.822289

0.023197

0

0.324324

0

0.09582

0

0.017241

0.405405

1

0.081081

false

0

0.135135

0

0.216216

0

null

0

null

0

1

0

2

77bc9d18897f9e2e8b8b8586dfd4784401b0f690

196

py

Python

cleanup_instances.py

MISP/dockerized_training_environment

de458b5ef62164da67e23985c768c01dc2ebcd58

[ "MIT" ]

7

2020-11-18T21:47:55.000Z

2022-03-09T20:46:56.000Z

cleanup_instances.py

MISP/dokerized_training_environment

835019c742247e302855e9e4d1192ee5d81616c8

[ "MIT" ]

null

cleanup_instances.py

MISP/dokerized_training_environment

835019c742247e302855e9e4d1192ee5d81616c8

[ "MIT" ]

2

2021-07-04T22:59:05.000Z

2021-07-19T12:22:17.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from misp_instances import MISPInstances if __name__ == '__main__': instances = MISPInstances() instances.cleanup_all_blacklisted_event()

19.6

45

0.719388

22

196

5.863636

0.863636

0

0.012048

0.153061

196

9

46

21.777778

0.76506

0.219388

0

0.05298

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

77bd451236783e0b666c7ee928e48672d43fb99d

980

py

Python

venv/lib/python3.5/site-packages/coalib/bears/meta.py

prashant0598/CoffeeApp

4fa006aebf06e12ed34766450ddcfa548ee63307

[ "MIT" ]

null

venv/lib/python3.5/site-packages/coalib/bears/meta.py

prashant0598/CoffeeApp

4fa006aebf06e12ed34766450ddcfa548ee63307

[ "MIT" ]

null

venv/lib/python3.5/site-packages/coalib/bears/meta.py

prashant0598/CoffeeApp

4fa006aebf06e12ed34766450ddcfa548ee63307

[ "MIT" ]

null

from collections import defaultdict from coalib.bearlib.aspects.collections import aspectlist class bearclass(type): """ Metaclass for :class:`coalib.bears.Bear.Bear` and therefore all bear classes. Pushing bears into the future... ;) """ # by default a bear class has no aspects aspects = defaultdict(lambda: aspectlist([])) def __new__(mcs, clsname, bases, clsattrs, *varargs, aspects=None): return type.__new__(mcs, clsname, bases, clsattrs, *varargs) def __init__(cls, clsname, bases, clsattrs, *varargs, aspects=None): """ Initializes the ``.aspects`` dict on new bear classes from the mapping given to the keyword-only `aspects` argument. """ type.__init__(cls, clsname, bases, clsattrs, *varargs) if aspects is not None: cls.aspects = defaultdict( lambda: aspectlist([]), ((k, aspectlist(v)) for (k, v) in dict(aspects).items()))

32.666667

78

0.638776

114

980

5.350877

0.491228

0.078689

0.131148

0.177049

0.255738

0

0.247959

980

29

79

33.793103

0.82768

0.276531

0

1

0.166667

false

0

0.166667

0.083333

0.583333

0

null

0

1

0

null

0

1

0

2

77bf2a587348db96cf1ee2fcdb711f47d1f4b9d7

12,875

py

Python

object_detector_app/utils/worker_utils.py

edrickwong/w3p

5537d15310ed1f77f06c3ecff4a9e17dd1f81657

[ "Unlicense" ]

null

object_detector_app/utils/worker_utils.py

edrickwong/w3p

5537d15310ed1f77f06c3ecff4a9e17dd1f81657

[ "Unlicense" ]

null

object_detector_app/utils/worker_utils.py

edrickwong/w3p

5537d15310ed1f77f06c3ecff4a9e17dd1f81657

[ "Unlicense" ]

null

import cv2 import multiprocessing import socket import tensorflow as tf import time from defaults import * from multiprocessing import Queue, Pool, Process from object_detector_utils import ObjectDetector from utils.app_utils import WebcamVideoStream from reference_objects_utils import ReferenceObjectsHelper # logger object for more succicnt output logger = multiprocessing.get_logger() class MessageWorker(Process): ''' TODO: add comments, its 2AM, i will add comments tomorrow ''' def __init__(self, request_q, message_q, *args, **kwargs): # pop out socket info or use global defined here self.tcp_ip = kwargs.pop('tcp_ip', TCP_IP) self.tcp_port = kwargs.pop('tcp_port', TCP_PORT) self.buffer_size = kwargs.pop('buffer_size', BUFFER_SIZE) # init parent with remaining kwargs # we want to do this init first so we can fail on the parent's # exception before having to throw our own exception after. super(MessageWorker, self).__init__(*args, **kwargs) self.request_q = request_q self.message_q = message_q # also setup socket information here self._socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self._socket.bind((self.tcp_ip, self.tcp_port)) self._socket.listen(1) self._socket.settimeout(5) self._conn = None # boolean to see if we should end the event loop self.kill_process = False self.daemon = True def run(self): # Wait for incoming connection before doing anything self.wait_for_incoming_connection() # Enter Event loop logger.debug('Entering event loop for Message Worker') while not self.kill_process: request_data = self._conn.recv(self.buffer_size) logger.debug('Request data: %s' %(request_data)) print request_data # find object that user is asking for obj = None # parse the incoming message for word in request_data.split(): if word in ALLOWED_CLASSES: # TODO: if the user asks for something that isn't allowed # ie. obj is None after this loop, we should do something # either ask user to repeat or something, this is currently # terrible UX. obj = word break if obj: self.request_q.put(obj) # print obj # TODO: The code below makes an assumption that the flop from request_q # to message_q will always work, so in case the request_q fails for # some reason, we have no projtection here (because we are going to # be sending back an empty message) # Solutions: # a) Implement a Timeout (remember we are bounded by a 5s # timeout upstream from google home) # b) more complicated solution would be to use a multiproc lock # ie. we spin until we here from the above procs (similar # to using signals in threads) msg = self.message_q.get() logger.debug(msg) self._conn.send(msg) # clean up socket on close logger.debug('Closing socket connection') self._conn.close() def wait_for_incoming_connection(self): while not self._conn: try: self._conn, _ = self._socket.accept() logger.warning('Accepted connection from: %s' %(self._conn)) except socket.timeout: logger.warning('Waiting on connection from Google Assistant') time.sleep(1) class InputFrameWorker(Process): ''' TODO: Add comments ''' def __init__(self, img_input_q, video_source, *args, **kwargs): super(InputFrameWorker, self).__init__(*args, **kwargs) self.img_input_q = img_input_q #self.test_stream() self.video_source = video_source # kill switch self.kill_process = False self.daemon = True def run(self): logger.debug('Entering event loop for input worker') self._stream = cv2.VideoCapture(self.video_source) # OpenCV doesnt respect these width/height parameters #self._stream.set(cv2.CAP_PROP_FRAME_WIDTH, self.width) #self._stream.set(cv2.CAP_PROP_FRAME_HEIGHT, self.height) while not self.kill_process: ret, frame = self._stream.read() if ret: self.img_input_q.put(frame) else: logger.warning('Unable to grab input frame') def test_stream(self): captured, frame = self._stream.read() if not captured: logger.debug('Unable to capture stream') class OutputImageStreamWorker(Process): ''' TODO: Add comments ''' def __init__(self, img_input_q, img_output_q, *args, **kwargs): super(OutputImageStreamWorker, self).__init__(*args, **kwargs) self.input_img_q = img_input_q self.output_img_q = img_output_q # FOR SOME GOD DAMN REASON TENSORFLOW ISN'T FORK SAFE # SO CAN'T INITIALIZE HERE, HAVE TO INIT AFTER THE PARENT # HAS FORKED INTO CHILD... self._object_detector = None self._ref_obj_helper = None # Bool to kill event loop self.kill_process = False self.daemon = True def run(self): # encapsulate the necessary helper objects self._object_detector = ObjectDetector() self._ref_obj_helper = None # Enter Event loop for worker while not self.kill_process: # grab most recent frame img_input_q and convert to RGB # as expected by model frame = self.input_img_q.get() # HACK:: Anshuman 03/08/2019 # We need the dimensions of the frames, since OpenCV can't actually # set the width/height for the camera input across all cameras. # So we are going to look at the input frame to determine the size # needed, so we can pass in normalized coordinates but work # with denormalized/real coordinates. if not self._ref_obj_helper: height, width, _ = frame.shape self._ref_obj_helper = ReferenceObjectsHelper(width, height) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) logger.debug('got input frame') # do inference for frame capture out_image = self._object_detector.detect_objects_visualize(frame_rgb) self._ref_obj_helper.visualize_reference_objects(out_image) self.output_img_q.put(out_image) # should do with __enter__ and __exit__ methods, but w.e for now self._object_detector.cleanup() class ObjectDetectoResponseWorker(Process): ''' TODO: Add comments ''' def __init__(self, img_input_q, request_q, message_q, *args, **kwargs): super(ObjectDetectoResponseWorker, self).__init__(*args, **kwargs) self.input_img_q = img_input_q self.request_q = request_q self.message_q = message_q # FOR SOME GOD DAMN REASON TENSORFLOW ISN'T FORK SAFE # SO CAN'T INITIALIZE HERE, HAVE TO INIT AFTER THE PARENT # HAS FORKED INTO CHILD... self._object_detector = None self._ref_obj_helper = None # Bool to kill event loop self.kill_process = False self.daemon = True def run(self): # Load object detector after parent process forks self._object_detector = ObjectDetector() # Enter Event loop for worker logger.debug('Entering event loop for object detector response worker') while not self.kill_process: # block until the MessageWorker puts something in the # request_q obj_to_find = self.request_q.get() # grab most recent frame img_input_q and convert to RGB # as expected by model frame = self.input_img_q.get() # HACK:: Anshuman 03/08/2019 # We need the dimensions of the frames, since OpenCV can't actually # set the width/height for the camera input across all cameras. # So we are going to look at the input frame to determine the size # needed, so we can pass in normalized coordinates but work # with denormalized/real coordinates. if not self._ref_obj_helper: height, width, _ = frame.shape self._ref_obj_helper = ReferenceObjectsHelper(width, height) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # do inference for frame capture detected_objects, confidence_scores = self._object_detector.detect_objects(frame_rgb) # construct message that we should pass back to user based on # detected objects msg = self.build_msg(obj_to_find, detected_objects, confidence_scores) # add msg to message_q self.message_q.put(msg) self._object_detector.cleanup() def closest_left_edge_distance(self,obj_xmin, obj_xmax,ref_xmin,ref_xmax): #check if object is infront of reference # # # YO DAMN LOGIC NOT CORRECT HERE if ref_xmin <= obj_xmin <= ref_xmax: print('left edge numbers: 0') return 0 else: #if reference is left of object, should return negative distance print('left edge numbers') print('obj_xmin :' + str(obj_xmin)) print('obj_xmax: ' + str(obj_xmax)) print('ref_xmax: ' + str(ref_xmax)) print(ref_xmax-obj_xmin) return obj_xmin-ref_xmax def closest_right_edge_distance(self,obj_xmin, obj_xmax,ref_xmin,ref_xmax): #check if object is infront of reference if ref_xmin <= obj_xmax <= ref_xmax: print('right edge numbers: 0') return 0 else: #if reference is right of object, should return negative distance print('right edge numbers') print('obj_xmin: ' + str(obj_xmin)) print('obj_xmax: ' + str(obj_xmax)) print('ref_xmax: ' + str(ref_xmin)) print(ref_xmin-obj_xmax) return obj_xmax-ref_xmin def calculate_nearest_reference(self, obj_to_find, detected_objects): ''' returns distance to closest reference object edge reference is left or right (0:left, 1:right) ''' self.ref_list = self._ref_obj_helper.reference_objects obj_x = [detected_objects.get(obj_to_find)[1], detected_objects.get(obj_to_find)[3]] obj_y = [detected_objects.get(obj_to_find)[0], detected_objects.get(obj_to_find)[2]] left_distances = [self.closest_left_edge_distance(obj_x[0],obj_x[1], x.norm_xmin, x.norm_xmax) for x in self.ref_list] right_distances = [self.closest_right_edge_distance(obj_x[0],obj_x[1], x.norm_xmin, x.norm_xmax) for x in self.ref_list] if 0 in left_distances: return self.ref_list[left_distances.index(0)], 0, 0 elif 0 in right_distances: return self.ref_list[right_distances.index(0)], 1, 0 else: left_min = min(left_distances) right_min = min(right_distances) if left_min < right_min: return self.ref_list[left_distances.index(left_min)],0, int(abs(round(left_min * 2))) else: return self.ref_list[right_distances.index(right_min)],1, int(abs(round(right_min * 2))) def build_msg(self, obj_to_find, detected_objects, confidence_scores): msg = '' ''' self.reference_objects has a list of ReferenceObject items that contain hard coded objects ''' if obj_to_find not in detected_objects: msg = 'Unable to locate %s in current view' %(obj_to_find) else: uncertainty_threshold = 0.6 uncertain_start = "I'm not certain but I think the {0}".format(obj_to_find) certain_start = "I see the {0} and it ".format(obj_to_find) reference, location, distance = self.calculate_nearest_reference(obj_to_find, detected_objects) if distance == 0: msg = " is in front of the " + reference.obj_type elif location == 0: msg = " is " + str(distance) + " step left of " + reference.obj_type else: msg = " is " + str(distance) + " step right of " + reference.obj_type msg = (uncertain_start + msg) if confidence_scores[obj_to_find] < uncertainty_threshold else (certain_start + msg) return msg

38.204748

126

0.623068

1,669

12,875

4.587777

0.217496

0.014627

0.016456

0.018806

0.44874

0.385268

0.336685

0.28967

0.280266

0

0.007007

0.30167

12,875

336

127

38.318452

0.844622

0.24334

0

0.322404

0

0.066913

0

0.014881

0

null

0

0.054645

null

0.071038

0

null

0

null

0

1

0

1

0

2

77c2220b2033ba3b299257e30d6fd82619ee794b

718

py

Python

babysploit/wpseku/lib/printer.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

babysploit/wpseku/lib/printer.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

babysploit/wpseku/lib/printer.py

kevinsegal/BabySploit

66bafc25e04e7512e8b87b161bd3b7201bb57b63

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # WPSeku - Wordpress Security Scanner # by Momo Outaadi (m4ll0k) from lib.colors import * def decode(string): return string.encode('utf-8') def plus(string): print("{}[ + ]{} {}{}{}".format( GREEN%1,RESET,GREEN%0,string,RESET)) def test(string): print("{}[ * ]{} {}{}{}".format( BLUE%1,RESET,WHITE%0,string,RESET)) def warn(string): print("{}[ ! ]{} {}{}{}".format( RED%1,RESET,RED%0,string,RESET)) def info(string): print("{}[ i ]{} {}{}{}".format( YELLOW%1,RESET,YELLOW%0,string,RESET)) def normal(string): print("{}{}{}".format(WHITE%1,string,RESET)) def more(string): print(" {}|{} {}{}{}".format( WHITE%0,RESET,WHITE%1,string,RESET))

20.514286

45

0.601671

97

718

4.453608

0.42268

0.152778

0.196759

0.138889

0

0.025641

0.130919

718

34

46

21.117647

0.666667

0.14624

0

0.149671

0

1

0.35

false

0

0.05

0.45

0.3

0

null

0

1

0

null

0

1

0

2

77ccdee8931416244bf1a7a303a5dbd891ef4733

2,908

py

Python

db/models.py

hnzlmnn/dora

1c7375491af03d3ea8557e68b18afc6f916f65d7

[ "BSD-3-Clause" ]

6

2020-03-10T14:57:42.000Z

2021-05-19T19:14:54.000Z

db/models.py

hnzlmnn/dora

1c7375491af03d3ea8557e68b18afc6f916f65d7

[ "BSD-3-Clause" ]

null

db/models.py

hnzlmnn/dora

1c7375491af03d3ea8557e68b18afc6f916f65d7

[ "BSD-3-Clause" ]

3

2020-03-08T16:02:11.000Z

2020-07-24T10:56:01.000Z

import base64 import binascii from typing import Union from peewee import DatabaseProxy, Model, CharField, BooleanField, DateTimeField, IntegerField, ForeignKeyField, \ CompositeKey, DoesNotExist from db.fields import BytesField database_proxy = DatabaseProxy() class BaseModel(Model): class Meta: database = database_proxy class Entry(BaseModel): id = IntegerField(primary_key=True) context = CharField(32) source = CharField(40) v6 = BooleanField() received_at = DateTimeField() line = IntegerField() data = BytesField(64) def summary(self): # if self.line == 0: # return f"{self.received_at}: received metadata for context {self.context}: {self.data.decode('ascii')}" return f"{self.received_at}: received line {self.line} from {str(self.source)} with content '{self.binary()}' for '{self.context}'" def _decoded(self, encoding=None) -> Union[str, None]: try: data = base64.b64decode(self.data, validate=True) if encoding: return data.decode(encoding) return data except (binascii.Error, UnicodeDecodeError): return None def ascii(self) -> Union[str, None]: return self._decoded('ascii') def binary(self) -> Union[str, None]: return self._decoded() def to_json(self): return dict( id=self.id, source=self.source, v6=self.v6, received_at=self.received_at.timestamp(), context=self.context, line=self.line, data=self.data.decode("ascii"), ) class Line(BaseModel): context = CharField(32) line = IntegerField() entry = ForeignKeyField(Entry) selected_at = DateTimeField() class Meta: primary_key = CompositeKey('context', 'line') def summary(self): return f"{self.selected_at}: {self.context}:{self.line} -> {self.entry}" def to_json(self): return dict( context=self.context, line=self.line, entry=self.entry.to_json(), selected_at=self.selected_at.timestamp(), ) class Meta(BaseModel): context = CharField(32, primary_key=True) source = CharField(40) v6 = BooleanField() lines = IntegerField() updated_at = DateTimeField() def summary(self): return f"{self.updated_at}: received metadata for context {self.context}: {self.lines}" def to_json(self): return dict( context=self.context, source=self.source, v6=self.v6, lines=self.lines, updated_at=self.updated_at.timestamp(), ) def get_missing(self): existing = set(map(lambda e: e[0], Line.select(Line.line).where(Line.context == self.context).tuples())) return list(set(range(1, self.lines + 1)) - existing)

28.792079

139

0.615543

330

2,908

5.345455

0.251515

0.056122

0.061224

0.022109

0.287415

0.252268

0.132653

0.095238

0.046485

0

0.013121

0.266162

2,908

101

140

28.792079

0.813496

0.043329

0

0.363636

0

0.012987

0.101079

0.009353

0

1

0.12987

false

0

0.064935

0.103896

0.636364

0

null

0

null

0

1

0

2

77e25ecf9a07d3984e7795af3734f3f79900a595

440

py

Python

objmodel/step00_get_set_field/objmodel.py

suensky/500lines-rewrite

3b8ec12e4abc777e504dfd5ad77cabce3851a23c

[ "CC-BY-3.0" ]

80

2020-06-04T01:34:30.000Z

2022-03-21T08:10:01.000Z

objmodel/step00_get_set_field/objmodel.py

suensky/500lines-rewrite

3b8ec12e4abc777e504dfd5ad77cabce3851a23c

[ "CC-BY-3.0" ]

5

2021-02-09T01:02:09.000Z

2021-03-29T02:11:06.000Z

objmodel/step00_get_set_field/objmodel.py

suensky/500lines-rewrite

3b8ec12e4abc777e504dfd5ad77cabce3851a23c

[ "CC-BY-3.0" ]

11

2020-11-06T01:11:11.000Z

2022-03-06T07:19:58.000Z

class Class: def __init__(self, name: str): self.name = name class Instance: def __init__(self, cls: Class): self.cls = cls self._fields = {} def get_attr(self, name: str): if name not in self._fields: raise AttributeError(f"'{self.cls.name}' has no attribute {name}") return self._fields[name] def set_attr(self, name: str, value): self._fields[name] = value

24.444444

78

0.595455

59

440

4.20339

0.389831

0.129032

0.133065

0.120968

0

0.286364

440

17

79

25.882353

0.789809

0

0.093182

0

1

0.307692

false

0

0.538462

0

null

0

null

0

1

0

1

0

2

77f299aaccb2e293e2955e642aaac7da3760011a

104

py

Python

08.Iterators_and_generators/Lab/squares.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

08.Iterators_and_generators/Lab/squares.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

08.Iterators_and_generators/Lab/squares.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

def squares(n): i = 1 while i <= n: yield i * i i += 1 print(list(squares(5)))

13

23

0.442308

17

104

2.705882

0.588235

0.086957

0

0.048387

0.403846

104

8

23

13

0.693548

0

1

0.166667

false

0

0.166667

1

0

null

0

1

0

null

0

2

77f3fb005629d43f754ea92f3d980821c34780fe

55,236

py

Python

kravatte/kravatte.py

inmcm/kravatte

21a6da899fe2707ff6128a89f83e3aeecf2ea68a

[ "MIT" ]

13

2018-04-16T19:56:50.000Z

2022-02-07T16:21:43.000Z

kravatte/kravatte.py

inmcm/kravatte

21a6da899fe2707ff6128a89f83e3aeecf2ea68a

[ "MIT" ]

2

2018-04-27T12:51:19.000Z

2018-11-25T16:55:49.000Z

kravatte/kravatte.py

inmcm/kravatte

21a6da899fe2707ff6128a89f83e3aeecf2ea68a

[ "MIT" ]

2

2018-08-20T06:40:08.000Z

2019-11-12T23:16:47.000Z

""" Kravatte Achouffe Cipher Suite: Encryption, Decryption, and Authentication Tools based on the Farfalle modes Copyright 2018 Michael Calvin McCoy see LICENSE file """ from multiprocessing import Pool from math import floor, ceil, log2 from typing import Tuple from os import cpu_count from ctypes import memset import numpy as np KravatteTagOutput = Tuple[bytes, bytes] KravatteValidatedOutput = Tuple[bytes, bool] class Kravatte(object): """Implementation of the Farfalle Pseudo-Random Function (PRF) construct utilizing the Keccak-1600 permutation. """ KECCAK_BYTES = 200 '''Number of Bytes in Keccak-1600 state''' KECCAK_LANES = 25 '''Number of 8-Byte lanes in Keccak-1600 state''' KECCAK_PLANES_SLICES = 5 ''' Size of x/y dimensions of Keccak lane array ''' THETA_REORDER = ((4, 0, 1, 2, 3), (1, 2, 3, 4, 0)) IOTA_CONSTANTS = np.array([0x000000000000800A, 0x800000008000000A, 0x8000000080008081, 0x8000000000008080, 0x0000000080000001, 0x8000000080008008], dtype=np.uint64) '''Iota Step Round Constants For Keccak-p(1600, 4) and Keccak-p(1600, 6)''' RHO_SHIFTS = np.array([[0, 36, 3, 41, 18], [1, 44, 10, 45, 2], [62, 6, 43, 15, 61], [28, 55, 25, 21, 56], [27, 20, 39, 8, 14]], dtype=np.uint64) '''Lane Shifts for Rho Step''' CHI_REORDER = ((1, 2, 3, 4, 0), (2, 3, 4, 0, 1)) '''Lane Re-order Mapping for Chi Step''' PI_ROW_REORDER = np.array([[0, 3, 1, 4, 2], [1, 4, 2, 0, 3], [2, 0, 3, 1, 4], [3, 1, 4, 2, 0], [4, 2, 0, 3, 1]]) '''Row Re-order Mapping for Pi Step''' PI_COLUMN_REORDER = np.array([[0, 0, 0, 0, 0], [1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]]) '''Column Re-order Mapping for Pi Step''' COMPRESS_ROW_REORDER = np.array([[0, 0, 0, 0, 1], [1, 1, 1, 1, 2], [2, 2, 2, 2, 3], [3, 3, 3, 3, 4], [4, 4, 4, 4, 0]]) '''Row Re-order Mapping for Compress Step''' COMPRESS_COLUMN_REORDER = np.array([[0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4]]) '''Column Re-order Mapping for Compress Step''' EXPAND_ROW_REORDER = np.array([[0, 0, 0, 1, 1], [1, 1, 1, 2, 2], [2, 2, 2, 3, 3], [3, 3, 3, 4, 4], [4, 4, 4, 0, 0]]) '''Row Re-order Mapping for Expand Step''' EXPAND_COLUMN_REORDER = np.array([[0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 4, 4]]) '''Column Re-order Mapping for Expand Step''' def __init__(self, key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize Kravatte with user key Inputs: key (bytes): encryption/authentication key workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ self.update_key(key) self.reset_state() # Enable Standard or Optimized Multi-process codepaths if workers is not None: self.collect_message = self._collect_message_mp if mp_input else self._collect_message_sp self.generate_digest = self._generate_digest_mp if mp_output else self._generate_digest_sp self.workers = cpu_count() if workers == 0 else workers else: self.collect_message = self._collect_message_sp self.generate_digest = self._generate_digest_sp self.workers = None def update_key(self, key: bytes) -> None: """ Pad and compute new Kravatte base key from bytes source. Inputs: key (bytes): user provided bytes to be padded (if necessary) and computed into Kravatte base key """ key_pad = self._pad_10_append(key, self.KECCAK_BYTES) key_array = np.frombuffer(key_pad, dtype=np.uint64, count=self.KECCAK_LANES, offset=0).reshape([self.KECCAK_PLANES_SLICES, self.KECCAK_PLANES_SLICES], order='F') self.kra_key = self._keccak(key_array) def reset_state(self) -> None: """ Clear existing Farfalle/Kravatte state and prepares for new input message collection. Elements reset include: - Message block collector - Rolling key - Currently stored output digest - Digest Active and New Collector Flags Inputs: None """ self.roll_key = np.copy(self.kra_key) self.collector = np.zeros([5, 5], dtype=np.uint64) self.digest = bytearray(b'') self.digest_active = False self.new_collector = True def _generate_absorb_queue(self, absorb_steps: int, kra_msg: bytes): """ Generator for Keccak-sized blocks of input message for Farfalle compression Inputs: absorb_steps (int): Number of blocks to generate for absorption kra_msg (bytes): padded input message ready for slicing into input blocks """ for msg_block in range(absorb_steps): yield (np.frombuffer(kra_msg, dtype=np.uint64, count=25, offset=msg_block * self.KECCAK_BYTES).reshape([5, 5], order='F') ^ self.roll_key) self.roll_key = self._kravatte_roll_compress(self.roll_key) def _collect_message_sp(self, message: bytes, append_bits: int=0, append_bit_count: int=0) -> None: """ Pad and Process Blocks of Message into Kravatte collector state Inputs: message (bytes): arbitrary number of bytes to be padded into Keccak blocks and absorbed into the collector append_bits (int): bits to append to the message before padding. Required for more advanced Kravatte modes. append_bit_count (int): number of bits to append """ if self.digest_active: self.reset_state() if self.new_collector: self.new_collector = False else: self.roll_key = self._kravatte_roll_compress(self.roll_key) # Pad Message msg_len = len(message) kra_msg = self._pad_10_append(message, msg_len + (self.KECCAK_BYTES - (msg_len % self.KECCAK_BYTES)), append_bits, append_bit_count) absorb_steps = len(kra_msg) // self.KECCAK_BYTES # Absorb into Collector for msg_block in range(absorb_steps): m = np.frombuffer(kra_msg, dtype=np.uint64, count=25, offset=msg_block * self.KECCAK_BYTES).reshape([5, 5], order='F') m_k = m ^ self.roll_key self.roll_key = self._kravatte_roll_compress(self.roll_key) self.collector = self.collector ^ self._keccak(m_k) def _collect_message_mp(self, message: bytes, append_bits: int=0, append_bit_count: int=0) -> None: """ Pad and Process Blocks of Message into Kravatte collector state - Multi-process Aware Variant Inputs: message (bytes): arbitrary number of bytes to be padded into Keccak blocks and absorbed into the collector append_bits (int): bits to append to the message before padding. Required for more advanced Kravatte modes. append_bit_count (int): number of bits to append """ if self.digest_active: self.reset_state() if self.new_collector: self.new_collector = False else: self.roll_key = self._kravatte_roll_compress(self.roll_key) # Pad Message msg_len = len(message) kra_msg = self._pad_10_append(message, msg_len + (self.KECCAK_BYTES - (msg_len % self.KECCAK_BYTES)), append_bits, append_bit_count) absorb_steps = len(kra_msg) // self.KECCAK_BYTES workload = 1 if (absorb_steps // self.workers) == 0 else (absorb_steps // self.workers) with Pool(processes=self.workers) as kravatte_pool: for output_element in kravatte_pool.imap_unordered(self._keccak, self._generate_absorb_queue(absorb_steps, kra_msg), chunksize=workload): self.collector ^= output_element def _generate_digest_sp(self, output_size: int, short_kravatte: bool=False) -> None: """ Squeeze an arbitrary number of bytes from collector state Inputs: output_size (int): Number of bytes to generate and store in Kravatte digest parameter short_kravatte (bool): Enable disable short kravatte required for other Kravatte modes """ if not self.digest_active: self.collector = self.collector if short_kravatte else self._keccak(self.collector) self.roll_key = self._kravatte_roll_compress(self.roll_key) self.digest_active = True self.digest = bytearray(b'') full_output_size = output_size + (200 - (output_size % 200)) if output_size % 200 else output_size generate_steps = full_output_size // 200 for _ in range(generate_steps): collector_squeeze = self._keccak(self.collector) self.collector = self._kravatte_roll_expand(self.collector) self.digest.extend((collector_squeeze ^ self.roll_key).tobytes('F')) self.digest = self.digest[:output_size] def _generate_squeeze_queue(self, generate_steps: int): """ Generator for Keccak-sized blocks of expanded collector state for output squeezing Inputs: generate_steps (int): Number of blocks to generate and for absorb """ for _ in range(generate_steps): yield self.collector self.collector = self._kravatte_roll_expand(self.collector) def _generate_digest_mp(self, output_size: int, short_kravatte: bool=False) -> None: """ Squeeze an arbitrary number of bytes from collector state - Multi-process Aware Variant Inputs: output_size (int): Number of bytes to generate and store in Kravatte digest parameter short_kravatte (bool): Enable disable short kravatte required for other Kravatte modes """ if not self.digest_active: self.collector = self.collector if short_kravatte else self._keccak(self.collector) self.roll_key = self._kravatte_roll_compress(self.roll_key) self.digest_active = True self.digest = bytearray(b'') full_output_size = output_size + (200 - (output_size % 200)) if output_size % 200 else output_size generate_steps = full_output_size // 200 workload = 1 if (generate_steps // self.workers) == 0 else (generate_steps // self.workers) with Pool(processes=self.workers) as kravatte_pool: for digest_block in kravatte_pool.imap(self._keccak_xor_key, self._generate_squeeze_queue(generate_steps), chunksize=workload): self.digest.extend(digest_block.tobytes('F')) self.digest = self.digest[:output_size] def _keccak(self, input_array): """ Implementation of Keccak-1600 PRF defined in FIPS 202 Inputs: input_array (numpy array): Keccak compatible state array: 200-byte as 5x5 64-bit lanes Return: numpy array: Keccak compatible state array: 200-byte as 5x5 64-bit lanes """ state = np.copy(input_array) for round_num in range(6): # theta_step: # Exclusive-or each slice-lane by state based permutation value array_shift = state << 1 | state >> 63 state ^= np.bitwise_xor.reduce(state[self.THETA_REORDER[0], ], 1, keepdims=True) ^ np.bitwise_xor.reduce(array_shift[self.THETA_REORDER[1], ], 1, keepdims=True) # rho_step: # Left Rotate each lane by pre-calculated value state = state << self.RHO_SHIFTS | state >> np.uint64(64 - self.RHO_SHIFTS) # pi_step: # Shuffle lanes to pre-calculated positions state = state[self.PI_ROW_REORDER, self.PI_COLUMN_REORDER] # chi_step: # Exclusive-or each individual lane based on and/invert permutation state ^= ~state[self.CHI_REORDER[0], ] & state[self.CHI_REORDER[1], ] # iota_step: # Exclusive-or first lane of state with round constant state[0, 0] ^= self.IOTA_CONSTANTS[round_num] return state def _keccak_xor_key(self, input_array): """ Implementation of Keccak-1600 PRF defined in FIPS 202 plus an XOR with the current key state Inputs: input_array (numpy array): Keccak compatible state array: 200-byte as 5x5 64-bit lanes Return: numpy array: Keccak compatible state array: 200-byte as 5x5 64-bit lanes """ state = np.copy(input_array) for round_num in range(6): # theta_step: # Exclusive-or each slice-lane by state based permutation value array_shift = state << 1 | state >> 63 state ^= np.bitwise_xor.reduce(state[self.THETA_REORDER[0], ], 1, keepdims=True) ^ np.bitwise_xor.reduce(array_shift[self.THETA_REORDER[1], ], 1, keepdims=True) # rho_step: # Left Rotate each lane by pre-calculated value state = state << self.RHO_SHIFTS | state >> np.uint64(64 - self.RHO_SHIFTS) # pi_step: # Shuffle lanes to pre-calculated positions state = state[self.PI_ROW_REORDER, self.PI_COLUMN_REORDER] # chi_step: # Exclusive-or each individual lane based on and/invert permutation state ^= ~state[self.CHI_REORDER[0], ] & state[self.CHI_REORDER[1], ] # iota_step: # Exclusive-or first lane of state with round constant state[0, 0] ^= self.IOTA_CONSTANTS[round_num] return state ^ self.roll_key def scrub(self): """ Explicitly zero out both the key and collector array states. Use prior to reinitialization of key or when finished with object to help avoid leaving secret/interim data in memory. WARNING: Does not guarantee other copies of these arrays are not present elsewhere in memory Not applicable in multi-process mode. Inputs: None Return: None """ # Clear collector array collector_location = self.collector.ctypes.data memset(collector_location, 0x00, self.KECCAK_BYTES) # Clear Kravatte base key array key_location = self.kra_key.ctypes.data memset(key_location, 0x00, self.KECCAK_BYTES) # Clear Kravatte rolling key array key_location = self.roll_key.ctypes.data memset(key_location, 0x00, self.KECCAK_BYTES) def _kravatte_roll_compress(self, input_array): """ Kravatte defined roll function for compression side of Farfalle PRF Inputs: input_array (numpy array): Keccak compatible state array: 200-byte as 5x5 64-bit lanes Return: numpy array: Keccak compatible state array: 200-byte as 5x5 64-bit lanes """ state = input_array[self.COMPRESS_ROW_REORDER, self.COMPRESS_COLUMN_REORDER] state[4, 4] = ((state[4, 4] << np.uint64(7)) | (state[4, 4] >> np.uint64(57))) ^ \ (state[0, 4]) ^ \ (state[0, 4] >> np.uint64(3)) return state def _kravatte_roll_expand(self, input_array): """ Kravatte defined roll function for expansion side of Farfalle PRF Inputs: input_array (numpy array): Keccak compatible state array: 200-byte as 5x5 64-bit lanes Return: numpy array: Keccak compatible state array: 200-byte as 5x5 64-bit lanes """ state = input_array[self.EXPAND_ROW_REORDER, self.EXPAND_COLUMN_REORDER] state[4, 4] = ((input_array[0, 3] << np.uint64(7)) | (input_array[0, 3] >> np.uint64(57))) ^ \ ((input_array[1, 3] << np.uint64(18)) | (input_array[1, 3] >> np.uint64(46))) ^ \ ((input_array[1, 3] >> np.uint64(1)) & input_array[2, 3]) return state @staticmethod def _pad_10_append(input_bytes: bytes, desired_length: int, append_bits: int=0, append_bit_count: int=0) -> bytes: """ Farfalle defined padding function. Limited to byte divisible inputs only Inputs: input_bytes (bytes): Collection of bytes desired_length (int): Number of bytes to pad input len out to append_bits (int): one or more bits to be inserted before the padding starts. Allows "appending" bits as required by several Kravatte modes append_bit_count (int): number of bits to append Return: bytes: input bytes with padding applied """ start_len = len(input_bytes) if start_len == desired_length: return input_bytes head_pad_byte = bytes([(0b01 << append_bit_count) | (((2**append_bit_count) - 1) & append_bits)]) pad_len = desired_length - (start_len % desired_length) padded_bytes = input_bytes + head_pad_byte + (b'\x00' * (pad_len - 1)) return padded_bytes @staticmethod def compare_bytes(a: bytes, b: bytes) -> bool: """ Time Constant Byte Comparison Function Inputs: a (bytes): first set of bytes b (bytes): second set of bytes Return: boolean """ compare = True if len(a) != len(b): return False for (element_a, element_b) in zip(a, b): compare = compare and (element_a == element_b) return compare def mac(key: bytes, message: bytes, output_size: int, workers: int=None, mp_input: bool=True, mp_output: bool=True) -> bytearray: """ Kravatte Message Authentication Code Generation of given length from a message based on a user provided key Args: key (bytes): User authentication key (0 - 200 bytes) message (bytes): User message output_size (int): Size of authenticated digest in bytes workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data Returns: bytes: message authentication bytes of length output_size """ kravatte_mac_gen = Kravatte(key, workers=workers, mp_input=mp_input, mp_output=mp_output) kravatte_mac_gen.collect_message(message) kravatte_mac_gen.generate_digest(output_size) kravatte_mac_gen.scrub() return kravatte_mac_gen.digest def siv_wrap(key: bytes, message: bytes, metadata: bytes, tag_size: int=32, workers: int=None, mp_input: bool=True, mp_output: bool=True) -> KravatteTagOutput: """ Authenticated Encryption with Associated Data (AEAD) of a provided plaintext using a key and metadata using the Synthetic Initialization Vector method described in the Farfalle/Kravatte spec. Generates ciphertext (of equivalent length to the plaintext) and verification tag. Inverse of siv_unwrap function. Args: key (bytes): Encryption key; 0-200 bytes in length message (bytes): Plaintext message for encryption metadata (bytes): Nonce/Seed value for authenticated encryption tag_size (int, optional): The tag size in bytes. Defaults to 32 bytes as defined in the Kravatte spec workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data Returns: tuple (bytes, bytes): Bytes of ciphertext and tag """ # Initialize Kravatte kravatte_siv_wrap = Kravatte(key, workers=workers, mp_input=mp_input, mp_output=mp_output) # Generate Tag From Metadata and Plaintext kravatte_siv_wrap.collect_message(metadata) kravatte_siv_wrap.collect_message(message) kravatte_siv_wrap.generate_digest(tag_size) siv_tag = kravatte_siv_wrap.digest # Generate Key Stream kravatte_siv_wrap.collect_message(metadata) kravatte_siv_wrap.collect_message(siv_tag) kravatte_siv_wrap.generate_digest(len(message)) ciphertext = bytes([p_text ^ key_stream for p_text, key_stream in zip(message, kravatte_siv_wrap.digest)]) kravatte_siv_wrap.scrub() return ciphertext, siv_tag def siv_unwrap(key: bytes, ciphertext: bytes, siv_tag: bytes, metadata: bytes, workers: int=None, mp_input: bool=True, mp_output: bool=True) -> KravatteValidatedOutput: """ Decryption of Synthetic Initialization Vector method described in the Farfalle/Kravatte spec. Given a key, metadata, and validation tag, generates plaintext (of equivalent length to the ciphertext) and validates message based on included tag, metadata, and key. Inverse of siv_wrap function. Args: key (bytes): Encryption key; 0-200 bytes in length ciphertext (bytes): Ciphertext SIV Message siv_tag (bytes): Authenticating byte string metadata (bytes): Metadata used to encrypt message and generate tag workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data Returns: tuple (bytes, boolean): Bytes of plaintext and message validation boolean """ # Initialize Kravatte kravatte_siv_unwrap = Kravatte(key, workers=workers, mp_input=mp_input, mp_output=mp_output) # Re-Generate Key Stream kravatte_siv_unwrap.collect_message(metadata) kravatte_siv_unwrap.collect_message(siv_tag) kravatte_siv_unwrap.generate_digest(len(ciphertext)) siv_plaintext = bytes([p_text ^ key_stream for p_text, key_stream in zip(ciphertext, kravatte_siv_unwrap.digest)]) # Re-Generate Tag From Metadata and Recovered Plaintext kravatte_siv_unwrap.collect_message(metadata) kravatte_siv_unwrap.collect_message(siv_plaintext) kravatte_siv_unwrap.generate_digest(len(siv_tag)) generated_tag = kravatte_siv_unwrap.digest # Check if tag matches provided tag matches reconstituted tag valid_tag = kravatte_siv_unwrap.compare_bytes(siv_tag, generated_tag) kravatte_siv_unwrap.scrub() return siv_plaintext, valid_tag class KravatteSAE(Kravatte): """ An authenticated encryption mode designed to track a session consisting of a series of messages and an initialization nonce. ** DEPRECATED in favor of KravatteSANE ** """ TAG_SIZE = 16 OFFSET = TAG_SIZE def __init__(self, nonce: bytes, key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteSAE with user key and nonce Args: nonce (bytes) - random unique value to initialize the session with key (bytes) - secret key for encrypting session messages workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteSAE, self).__init__(key, workers, mp_input, mp_output) self.initialize_history(nonce) def initialize_history(self, nonce: bytes) -> None: """ Initialize session history by storing Keccak collector state and current internal key Args: key (bytes): user provided bytes to be padded (if necessary) and computed into Kravatte base key """ self.collect_message(nonce) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) self.generate_digest(self.TAG_SIZE) self.tag = self.digest.copy() def wrap(self, plaintext: bytes, metadata: bytes) -> KravatteTagOutput: """ Encrypt an arbitrary plaintext message using the included metadata as part of an on-going session. Creates authentication tag for validation during decryption. Args: plaintext (bytes): user plaintext of arbitrary length metadata (bytes): associated data to ensure a unique encryption permutation Returns: (bytes, bytes): encrypted cipher text and authentication tag """ # Restore Kravatte State to When Latest History was Absorbed self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False # Generate/Apply Key Stream self.generate_digest(len(plaintext) + self.OFFSET) ciphertext = bytes([p_text ^ key_stream for p_text, key_stream in zip(plaintext, self.digest[self.OFFSET:])]) # Update History if len(metadata) > 0 or len(plaintext) == 0: self._append_to_history(metadata, 0) if len(plaintext) > 0: self._append_to_history(ciphertext, 1) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) # Generate Tag self.generate_digest(self.TAG_SIZE) return ciphertext, self.digest def unwrap(self, ciphertext: bytes, metadata: bytes, validation_tag: bytes) -> KravatteValidatedOutput: """ Decrypt an arbitrary ciphertext message using the included metadata as part of an on-going session. Creates authentication tag for validation during decryption. Args: ciphertext (bytes): user ciphertext of arbitrary length metadata (bytes): associated data from encryption validation_tag (bytes): collection of bytes that authenticates the decrypted plaintext as being encrypted with the same secret key Returns: (bytes, bool): decrypted plaintext and boolean indicating in decryption was authenticated against secret key """ # Restore Kravatte State to When Latest History was Absorbed self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False # Generate/Apply Key Stream self.generate_digest(len(ciphertext) + self.OFFSET) plaintext = bytes([p_text ^ key_stream for p_text, key_stream in zip(ciphertext, self.digest[self.OFFSET:])]) # Update History if len(metadata) > 0 or len(ciphertext) == 0: self._append_to_history(metadata, 0) if len(ciphertext) > 0: self._append_to_history(ciphertext, 1) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) # Generate Tag self.generate_digest(self.TAG_SIZE) # Store Generated Tag and Validate self.tag = self.digest.copy() valid_tag = self.compare_bytes(self.tag, validation_tag) return plaintext, valid_tag def _append_to_history(self, message: bytes, pad_bit: int) -> None: """ Update history collector state with provided message. Args: message (bytes): arbitrary number of bytes to be padded into Keccak blocks and absorbed into the collector pad_bit (int): Either 1 or 0 to append to the end of the regular message before padding """ if self.digest_active: self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False self.roll_key = self._kravatte_roll_compress(self.roll_key) # Pad Message with a single bit and then start_len = len(message) padded_len = start_len + (self.KECCAK_BYTES - (start_len % self.KECCAK_BYTES)) padded_bytes = self._pad_10_append(message, padded_len, pad_bit, 1) absorb_steps = len(padded_bytes) // self.KECCAK_BYTES # Absorb into Collector for msg_block in range(absorb_steps): m = np.frombuffer(padded_bytes, dtype=np.uint64, count=25, offset=msg_block * self.KECCAK_BYTES).reshape([5, 5], order='F') m_k = m ^ self.roll_key self.roll_key = self._kravatte_roll_compress(self.roll_key) self.collector = self.collector ^ self._keccak(m_k) class KravatteSANE(Kravatte): """ An authenticated encryption mode designed to track a session consisting of a series of messages, metadata, and an initialization nonce. A replacement for KravatteSAE """ TAG_SIZE = 16 OFFSET = TAG_SIZE """ An authenticated encryption mode designed to track a session consisting of a series of messages and an initialization nonce. A replacement for KravatteSAE """ def __init__(self, nonce: bytes, key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteSANE with user key and nonce Args: nonce (bytes) - random unique value to initialize the session with key (bytes) - secret key for encrypting session messages workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteSANE, self).__init__(key, workers, mp_input, mp_output) self.initialize_history(nonce, False) def initialize_history(self, nonce: bytes, reinitialize: bool=True) -> None: """ Initialize session history. Session history is stored pre-compressed within the Keccak collector and current matching internal key state. Kravatte-SANE session history starts with the user provided nonce. Args: nonce (bytes): user provided bytes to initialize the session history reinitialize (bool): perform a full reset of the Keccak state when manually restarting the history log """ if reinitialize: self.reset_state() self.collect_message(nonce) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) self.generate_digest(self.TAG_SIZE) self.tag = self.digest.copy() self.e_attr = 0 def wrap(self, plaintext: bytes, metadata: bytes) -> KravatteTagOutput: """ Encrypt an arbitrary plaintext message using the included metadata as part of an on-going session. Creates authentication tag for validation during decryption. Args: plaintext (bytes): user plaintext of arbitrary length metadata (bytes): associated data to ensure a unique encryption permutation Returns: (bytes, bytes): encrypted cipher text and authentication tag """ # Restore Kravatte State to When Latest History was Absorbed self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False # Generate/Apply Key Stream self.generate_digest(len(plaintext) + self.OFFSET) ciphertext = bytes([p_text ^ key_stream for p_text, key_stream in zip(plaintext, self.digest[self.OFFSET:])]) # Restore/Update History States if required self._restore_history() if len(metadata) > 0 or len(plaintext) == 0: self._append_to_history(metadata, (self.e_attr << 1) | 0, 2) if len(plaintext) > 0: self._append_to_history(ciphertext, (self.e_attr << 1) | 1, 2) # Increment e toggler attribute self.e_attr ^= 1 # Generate Tag self.generate_digest(self.TAG_SIZE) return ciphertext, self.digest def unwrap(self, ciphertext: bytes, metadata: bytes, validation_tag: bytes) -> KravatteValidatedOutput: """ Decrypt an arbitrary ciphertext message using the included metadata as part of an on-going session. Validates decryption based on the provided authentication tag. Args: ciphertext (bytes): user ciphertext of arbitrary length metadata (bytes): associated data from encryption validation_tag (bytes): collection of bytes that authenticates the decrypted plaintext as being encrypted with the same secret key Returns: (bytes, bool): decrypted plaintext and boolean indicating in decryption was authenticated against secret key """ # Restore Kravatte State to When Latest History was Absorbed self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False # Generate/Apply Key Stream self.generate_digest(len(ciphertext) + self.OFFSET) plaintext = bytes([p_text ^ key_stream for p_text, key_stream in zip(ciphertext, self.digest[self.OFFSET:])]) # Restore/Update History States if required self._restore_history() if len(metadata) > 0 or len(ciphertext) == 0: self._append_to_history(metadata, (self.e_attr << 1) | 0, 2) if len(ciphertext) > 0: self._append_to_history(ciphertext, (self.e_attr << 1) | 1, 2) # Increment e toggler attribute self.e_attr ^= 1 # Generate Tag self.generate_digest(self.TAG_SIZE) # Store Generated Tag and Validate self.tag = self.digest.copy() valid_tag = self.compare_bytes(self.tag, validation_tag) return plaintext, valid_tag def _append_to_history(self, message: bytes, pad_bits: int, pad_size: int) -> None: """ Update history collector state with provided message. Args: message (bytes): arbitrary number of bytes to be padded into Keccak blocks and absorbed into the collector pad_bits (int): Up to 6 additional bits added to the end of the regular message before padding pad_size (int): Number of bits to append """ self.collect_message(message, pad_bits, pad_size) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) def _restore_history(self) -> None: """ Restore the internal kravatte state to the previously saved history state Args: None """ self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.digest = bytearray(b'') self.digest_active = False class KravatteSANSE(Kravatte): """ A nonce-less authenticated encryption mode designed to track a session consisting of a series of messages and metadata. A replacement for Kravatte-SIV """ TAG_SIZE = 32 def __init__(self, key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteSANSE with user key Args: key (bytes) - secret key for encrypting/decrypting session messages workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteSANSE, self).__init__(key, workers, mp_input, mp_output) self.initialize_history(False) def initialize_history(self, reinitialize: bool=True) -> None: """ Initialize session history. Session history is stored pre-compressed within the Keccak collector and current matching internal key state. Kravatte-SANSE session history starts empty. Args: reinitialize (bool): perform a full reset of the Keccak state when manually restarting the history log """ if reinitialize: self.reset_state() self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) self.history_collector_state = np.copy(self.new_collector) self.e_attr = 0 def wrap(self, plaintext: bytes, metadata: bytes) -> KravatteTagOutput: """ Encrypt an arbitrary plaintext message using the included metadata as part of an on-going session. Creates authentication tag for validation during decryption. Args: plaintext (bytes): user plaintext of arbitrary length metadata (bytes): associated data to ensure a unique encryption permutation Returns: (bytes, bytes): encrypted cipher text and authentication tag """ # Restore Kravatte State to When Latest History was Absorbed self._restore_history() # Update History if len(metadata) > 0 or len(plaintext) == 0: self._append_to_history(metadata, (self.e_attr << 1) | 0, 2) if len(plaintext) > 0: # Generate Tag self.collect_message(plaintext, (self.e_attr << 2) | 0b10, 3) self.generate_digest(self.TAG_SIZE) tag = self.digest # Reset History State and Generate/Apply Key Stream self._restore_history() self.collect_message(tag, ((self.e_attr << 2) | 0b11), 3) self.generate_digest(len(plaintext)) ciphertext = bytes([p_text ^ key_stream for p_text, key_stream in zip(plaintext, self.digest)]) # Reset History State and Update it with Plaintext and Padding self._restore_history() self._append_to_history(plaintext, (self.e_attr << 2) | 0b10, 3) else: ciphertext = b'' self.generate_digest(self.TAG_SIZE) tag = self.digest self.e_attr ^= 1 return ciphertext, tag def unwrap(self, ciphertext: bytes, metadata: bytes, validation_tag: bytes) -> KravatteValidatedOutput: """ Decrypt an arbitrary ciphertext message using the included metadata as part of an on-going session. Validates decryption based on the provided authentication tag. Args: ciphertext (bytes): user ciphertext of arbitrary length metadata (bytes): associated data from encryption validation_tag (bytes): collection of bytes that authenticates the decrypted plaintext as being encrypted with the same secret key Returns: (bytes, bool): decrypted plaintext and boolean indicating in decryption was authenticated against secret key """ # Restore Kravatte State to When Latest History was Absorbed self._restore_history() if len(metadata) > 0 or len(ciphertext) == 0: self._append_to_history(metadata, (self.e_attr << 1) | 0, 2) if len(ciphertext) > 0: self.collect_message(validation_tag, ((self.e_attr << 2) | 0b11), 3) self.generate_digest(len(ciphertext)) plaintext = bytes([p_text ^ key_stream for p_text, key_stream in zip(ciphertext, self.digest)]) # Update History self._restore_history() self._append_to_history(plaintext, (self.e_attr << 2) | 0b10, 3) else: plaintext = b'' # Generate Tag self.generate_digest(self.TAG_SIZE) self.e_attr ^= 1 # Store Generated Tag and Validate self.tag = self.digest.copy() valid_tag = self.compare_bytes(self.tag, validation_tag) return plaintext, valid_tag def _append_to_history(self, message: bytes, pad_bits: int, pad_size: int) -> None: """ Update history collector state with provided message. Save the new history state. Args: message (bytes): arbitrary number of bytes to be padded into Keccak blocks and absorbed into the collector pad_bits (int): Up to 6 additional bits added to the end of the regular message before padding pad_size (int): Number of bits to append """ self.collect_message(message, pad_bits, pad_size) self.history_collector = np.copy(self.collector) self.history_key = np.copy(self.roll_key) self.history_collector_state = np.copy(self.new_collector) def _restore_history(self) -> None: """ Restore the internal kravatte state to the previously saved history state Args: None """ self.collector = np.copy(self.history_collector) self.roll_key = np.copy(self.history_key) self.new_collector = np.copy(self.history_collector_state) self.digest = bytearray(b'') self.digest_active = False class KravatteWBC(Kravatte): """ Configurable Wide Block Cipher encryption mode with customization tweak """ SPLIT_THRESHOLD = 398 def __init__(self, block_cipher_size: int, tweak: bytes=b'', key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteWBC object Inputs: block_cipher_size (int) - size of block cipher in bytes tweak (bytes) - arbitrary value to customize cipher output key (bytes) - secret key for encrypting message blocks workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteWBC, self).__init__(key, workers, mp_input, mp_output) self.split_bytes(block_cipher_size) self.tweak = tweak def split_bytes(self, message_size_bytes: int) -> None: """ Calculates the size (in bytes) of the "left" and "right" components of the block encryption decryption process. Based on algorithm given in Farfalle spec. Input message_size_bytes (int): user defined block size for this instance of KravatteWBC """ if message_size_bytes <= self.SPLIT_THRESHOLD: nL = ceil(message_size_bytes / 2) else: q = floor(((message_size_bytes + 1) / self.KECCAK_BYTES)) + 1 x = floor(log2(q - 1)) nL = ((q - (2**x)) * self.KECCAK_BYTES) - 1 self.size_L = nL self.size_R = message_size_bytes - nL def encrypt(self, message: bytes) -> bytes: """ Encrypt a user message using KravatteWBC mode Inputs: message (bytes): plaintext message to encrypt. Length should be <= the block cipher size defined in the KravatteWBC object Returns: bytes: encrypted block same length as message """ L = message[0:self.size_L] R = message[self.size_L:] # R0 ← R0 + HK(L||0), with R0 the first min(b, |R|) bits of R self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_R), short_kravatte=True) extended_digest = self.digest + ((self.size_R - len(self.digest)) * b'\x00') R = bytes([p_text ^ key_stream for p_text, key_stream in zip(R, extended_digest)]) # L ← L + GK (R||1 ◦ W) self.collect_message(self.tweak) self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(self.size_L) L = bytes([p_text ^ key_stream for p_text, key_stream in zip(L, self.digest)]) # R ← R + GK (L||0 ◦ W) self.collect_message(self.tweak) self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(self.size_R) R = bytes([p_text ^ key_stream for p_text, key_stream in zip(R, self.digest)]) # L0 ← L0 + HK(R||1), with L0 the first min(b, |L|) bits of L self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_L), short_kravatte=True) extended_digest = self.digest + ((self.size_L - len(self.digest)) * b'\x00') L = bytes([p_text ^ key_stream for p_text, key_stream in zip(L, extended_digest)]) # C ← the concatenation of L and R return L + R def decrypt(self, ciphertext: bytes) -> bytes: """ Decrypt a user message using KravatteWBC mode Args: message (bytes): ciphertext message to decrypt. Returns: bytes: decrypted block same length as ciphertext """ L = ciphertext[0:self.size_L] R = ciphertext[self.size_L:] # L0 ← L0 + HK(R||1), with L0 the first min(b, |L|) bits of L self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_L), short_kravatte=True) extended_digest = self.digest + ((self.size_L - len(self.digest)) * b'\x00') L = bytes([c_text ^ key_stream for c_text, key_stream in zip(L, extended_digest)]) # R ← R + GK (L||0 ◦ W) self.collect_message(self.tweak) self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(self.size_R) R = bytes([c_text ^ key_stream for c_text, key_stream in zip(R, self.digest)]) # L ← L + GK (R||1 ◦ W) self.collect_message(self.tweak) self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(self.size_L) L = bytes([c_text ^ key_stream for c_text, key_stream in zip(L, self.digest)]) # R0 ← R0 + HK(L||0), with R0 the first min(b, |R|) bits of R self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_R), short_kravatte=True) extended_digest = self.digest + ((self.size_R - len(self.digest)) * b'\x00') R = bytes([c_text ^ key_stream for c_text, key_stream in zip(R, extended_digest)]) # P ← the concatenation of L and R return L + R class KravatteWBC_AE(KravatteWBC): """ Authentication with associated metadata version Kravatte Wide Block Cipher encryption mode """ WBC_AE_TAG_LEN = 16 def __init__(self, block_cipher_size: int, key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteWBC_AE object Args: block_cipher_size (int) - size of block cipher in bytes key (bytes) - secret key for encrypting message blocks workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteWBC_AE, self).__init__(block_cipher_size + self.WBC_AE_TAG_LEN, b'', key=key, workers=workers, mp_input=mp_input, mp_output=mp_output) def wrap(self, message: bytes, metadata: bytes) -> bytes: """ Encrypt a user message and generate included authenticated data. Requires metadata input in lieu of customization tweak. Args: message (bytes): User message same length as configured object block size metadata (bytes): associated metadata to ensure unique output Returns: bytes: authenticated encrypted block """ self.tweak = metadata # metadata treated as tweak padded_message = message + (self.WBC_AE_TAG_LEN * b'\x00') return self.encrypt(padded_message) def unwrap(self, ciphertext: bytes, metadata: bytes) -> KravatteValidatedOutput: """ Decrypt a ciphertext block and validate included authenticated data. Requires metadata input in lieu of customization tweak. Args: message (bytes): ciphertext same length as configured object block size metadata (bytes): associated metadata to ensure unique output Returns: (bytes, bool): plaintext byes and decryption valid flag """ L = ciphertext[0:self.size_L] R = ciphertext[self.size_L:] self.tweak = metadata # L0 ← L0 + HK(R||1), with L0 the first min(b, |L|) bits of L self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_L), short_kravatte=True) extended_digest = self.digest + ((self.size_L - len(self.digest)) * b'\x00') L = bytes([c_text ^ key_stream for c_text, key_stream in zip(L, extended_digest)]) # R ← R + GK (L||0 ◦ A) self.collect_message(self.tweak) self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(self.size_R) R = bytes([c_text ^ key_stream for c_text, key_stream in zip(R, self.digest)]) # |R| ≥ b+t if self.size_R >= self.KECCAK_BYTES + self.WBC_AE_TAG_LEN: # if the last t bytes of R ̸= 0t then return error! valid_plaintext = True if R[-self.WBC_AE_TAG_LEN:] == (self.WBC_AE_TAG_LEN * b'\x00') else False # L ← L + GK (R||1 ◦ A) self.collect_message(self.tweak) self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(self.size_L) L = bytes([c_text ^ key_stream for c_text, key_stream in zip(L, self.digest)]) # R0 ← R0 + HK(L||0), with R0 the first b bytes of R self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(self.KECCAK_BYTES, short_kravatte=True) extended_digest = self.digest + ((self.size_R - len(self.digest)) * b'\x00') R = bytes([c_text ^ key_stream for c_text, key_stream in zip(R, extended_digest)]) else: # L ← L + GK (R||1 ◦ A) self.collect_message(self.tweak) self.collect_message(R, append_bits=0b1, append_bit_count=1) self.generate_digest(self.size_L) L = bytes([c_text ^ key_stream for c_text, key_stream in zip(L, self.digest)]) # R0 ← R0 + HK(L||0), with R0 the first min(b, |R|) bytes of R self.collect_message(L, append_bits=0b0, append_bit_count=1) self.generate_digest(min(self.KECCAK_BYTES, self.size_R), short_kravatte=True) extended_digest = self.digest + ((self.size_R - len(self.digest)) * b'\x00') R = bytes([c_text ^ key_stream for c_text, key_stream in zip(R, extended_digest)]) # if the last t bytes of L||R ̸= 0t then return error! valid_plaintext = True if (L + R)[-self.WBC_AE_TAG_LEN:] == (self.WBC_AE_TAG_LEN * b'\x00') else False # P′ ← L||R return (L + R)[:-self.WBC_AE_TAG_LEN], valid_plaintext class KravatteOracle(Kravatte): """Pseudo-random byte stream generator. Accepts an authentication key and arbitrary sized seed input. Once initialized, the random method can return an arbitrary amount of random output bytes for each call. Generator collector state can be reinitialized at anytime with the seed_generator method """ def __init__(self, seed: bytes=b'', key: bytes=b'', workers: int=None, mp_input: bool=True, mp_output: bool=True): """ Initialize KravatteOracle with user key and seed. Inputs: seed (bytes) - random unique value to initialize the oracle object with key (bytes) - secret key for authenticating generator workers (int): parallel processes to use in compression/expansion operations mp_input (bool): Enable multi-processing for calculations on input data mp_output (bool): Enable multi-processing for calculations on output data """ super(KravatteOracle, self).__init__(key, workers, mp_input, mp_input) self.seed_generator(seed) def seed_generator(self, seed: bytes): """ Re-seed Kravatte collector state with new seed data. Input: seed (bytes): Collection of seed bytes that are absorbed as single message """ self.collect_message(seed) def random(self, output_size: int) -> bytearray: """ Generates a stream of pseudo-random bytes from the current state of the Kravatte collector state Input: output_size (bytes): Number of bytes to return Returns: bytearray: Pseudo-random Kravatte squeezed collector output """ self.generate_digest(output_size) return self.digest if __name__ == "__main__": from time import perf_counter import hashlib from binascii import hexlify import os my_key = b'\xFF' * 32 my_message = bytes([x % 256 for x in range(4 * 1024 * 1024)]) print("Normal Message MAC Generation") start = perf_counter() my_kra = mac(my_key, my_message, 1024 * 1024 * 4) stop = perf_counter() print("Process Time:", stop - start) a1 = hashlib.md5() a1.update(my_kra) print(hexlify(a1.digest())) print("%d Process/Core Message MAC Generation" % os.cpu_count()) start = perf_counter() my_kra = mac(my_key, my_message, 1024 * 1024 * 4, workers=os.cpu_count()) stop = perf_counter() print("Process Time:", stop - start) a2 = hashlib.md5() a2.update(my_kra) print(hexlify(a2.digest())) assert a1.digest() == a2.digest()

43.254503

172

0.634695

7,158

55,236

4.737077

0.074742

0.020054

0.016869

0.009909

0.744131

0.715672

0.688923

0.671552

0.662115

0.65026

0

0.021258

0.278677

55,236

1,276

173

43.288401

0.829079

0.358027

0

0.559259

0

0.004884

0

0.003781

0

0.001852

1

0.085185

false

0

0.018519

0

0.194444

0.011111

0

null

0

1

0

1

0

null

0

2

77f4e418af722622970c7ce018e3cf661f1435fb

933

py

Python

radar/models/user.py

J4LP/radar

c54feac19dc0181223c74d780179095bbe53142a

[ "Unlicense", "MIT" ]

null

radar/models/user.py

J4LP/radar

c54feac19dc0181223c74d780179095bbe53142a

[ "Unlicense", "MIT" ]

null

radar/models/user.py

J4LP/radar

c54feac19dc0181223c74d780179095bbe53142a

[ "Unlicense", "MIT" ]

null

import arrow from sqlalchemy_utils import IPAddressType, ArrowType from radar.models import db class User(db.Model): id = db.Column(db.Integer, primary_key=True) user_id = db.Column(db.String, unique=True) main_character = db.Column(db.String) main_character_id = db.Column(db.Integer) alliance_name = db.Column(db.String, nullable=True) corporation_name = db.Column(db.String) last_ip = db.Column(IPAddressType, default=u'127.0.0.1') last_login_on = db.Column(ArrowType, default=lambda: arrow.utcnow()) anonymous = True authenticated = False structures = db.relationship('Structure', backref='added_by') scans = db.relationship('Scan', backref='added_by') def is_authenticated(self): return self.authenticated def is_active(self): return True def is_anonymous(self): return self.anonymous def get_id(self): return str (self.id)

29.15625

72

0.699893

127

933

5.007874

0.440945

0.100629

0.09434

0.100629

0.122642

0

0.007947

0.190782

933

31

73

30.096774

0.834437

0

0.040729

0

1

0.166667

false

0

0.125

0.166667

1

0

null

0

null

0

1

0

2

77f931744d12e59cfee289a9376b2a8d113bac9f

840

py

Python

ancfindersite/admin.py

kevko/ancfinder

1368604e9a17f70e2d3981b6c4258d6455555844

[ "CC0-1.0" ]

null

ancfindersite/admin.py

kevko/ancfinder

1368604e9a17f70e2d3981b6c4258d6455555844

[ "CC0-1.0" ]

null

ancfindersite/admin.py

kevko/ancfinder

1368604e9a17f70e2d3981b6c4258d6455555844

[ "CC0-1.0" ]

null

# -*- coding: utf-8 from django.contrib import admin from ancfindersite.models import * @admin.register(CommissionerInfo) class CommissionerInfoAdmin(admin.ModelAdmin): list_display = ['id', 'latest', 'created', 'author', 'anc', 'smd', 'field_name', 'field_value', 'linkage'] raw_id_fields = ['author'] readonly_fields = ['author', 'superseded_by', 'anc', 'smd', 'field_name'] def latest(self, obj): return obj.superseded_by is None latest.boolean = True def linkage(self, obj): ret = [] if obj.superseded_by is not None: ret.append("next: %d" % obj.superseded_by.id) try: ret.append("prev: %d" % obj.supersedes.id) except: # obj.supersedes doesn't return None, instead it raises a DoesNotExist exception. pass return "; ".join(ret) admin.site.register(Document)

31.111111

110

0.665476

107

840

5.121495

0.579439

0.087591

0.082117

0.054745

0

0.001471

0.190476

840

26

111

32.307692

0.804412

0.115476

0

0.154054

0

1

0.105263

false

0.052632

0.105263

0.052632

0.526316

0

null

0

null

0

1

0

1

0

2

ae01727cfecda3887bfcd03981090dc1fcddea42

66

py

Python

for in.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

17

2018-09-19T09:44:33.000Z

2022-01-17T15:17:11.000Z

for in.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

2

2020-02-24T15:28:33.000Z

2021-11-16T00:04:52.000Z

for in.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

8

2020-02-20T00:02:06.000Z

2022-01-06T17:25:51.000Z

def prod(L): p = 1 for i in L: p *= i return p

11

15

0.393939

13

66

2

0.692308

0.153846

0

0.030303

0.5

66

5

16

13.2

0.757576

0

1

0.2

false

0

0.4

0

1

0

null

0

1

0

null

0

2

ae02de2b9a04ab2ec51a173473001761384a9382

781

py

Python

flask_web/config/default.py

Max-PJB/python-learning2

e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd

[ "MIT" ]

null

flask_web/config/default.py

Max-PJB/python-learning2

e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd

[ "MIT" ]

null

flask_web/config/default.py

Max-PJB/python-learning2

e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd

[ "MIT" ]

null

# coding: utf-8 import os class Config(object): RESULT_ERROR = 0 RESULT_SUCCESS = 1 MONGODB_SETTINGS = {'ALIAS': 'default', 'DB': 'facepp', 'host': 'localhost', 'username': 'admin', 'password': ''} """Base config class.""" # Flask app config DEBUG = True TESTING = True # token 的过期时间，7200 秒 EXP_SECONDS = 7200 SECRET_KEY = "\xb5\xb3}#\xb7A\xcac\x9d0\xb6\x0f\x80z\x97\x00\x1e\xc0\xb8+\xe9)\xf0}" # Root path of project PROJECT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) # 允许免登录的 url，不需要登录也可以访问 allow_urls = ['/login', '/register', '/admin' ]

24.40625

88

0.50064

83

781

4.578313

0.819277

0.047368

0

0.057769

0.357234

781

31

89

25.193548

0.699203

0.117798

0

0.055556

0.221548

0.104704

0

1

0

false

0.055556

0

0.611111

0

null

0

null

0

1

0

1

0

2

7ac3c07bce8003bb3e2b3c3cce602636e606ad54

460

py

Python

sample_pointcloud.py

jiameng1010/pointNet

17d230f46f64136baba2c3d6cb7f05ab4bbb9f31

[ "MIT" ]

null

sample_pointcloud.py

jiameng1010/pointNet

17d230f46f64136baba2c3d6cb7f05ab4bbb9f31

[ "MIT" ]

null

sample_pointcloud.py

jiameng1010/pointNet

17d230f46f64136baba2c3d6cb7f05ab4bbb9f31

[ "MIT" ]

1

2019-02-03T12:19:36.000Z

from pyntcloud import PyntCloud import pyembree import numpy as np import trimesh from trimesh import sample, ray, triangles from trimesh.ray.ray_pyembree import RayMeshIntersector import pandas as pd cloud = PyntCloud.from_file("/home/mjia/Documents/ShapeCompletion/test.ply") sample = cloud.get_sample(name='mesh_random_sampling', as_PyntCloud=True, n=1024) sample.plot(mesh=True) mesh = trimesh.load('../ModelNet40/desk/train/desk_0008.off') mesh.show()

28.75

81

0.806522

67

460

5.432836

0.567164

0.082418

0

0.023923

0.091304

460

16

82

28.75

0.84689

0

0.223427

0.180043

0

1

0

false

0

0.583333

0

0.583333

0

null

0

null

0

1

0

1

0

2

7acb3839960d46daa774c78e73cb0aeba944f283

288

py

Python

ddtruss/__init__.py

deeepeshthakur/ddtruss

86aa945d577c6efe752099eee579386762942289

[ "MIT" ]

1

2020-01-27T12:03:47.000Z

ddtruss/__init__.py

deeepeshthakur/ddtruss

86aa945d577c6efe752099eee579386762942289

[ "MIT" ]

null

ddtruss/__init__.py

deeepeshthakur/ddtruss

86aa945d577c6efe752099eee579386762942289

[ "MIT" ]

null

from .__about__ import __author__, __email__, __license__, __status__, __version__ from .solver import DataDrivenSolver from .truss import Truss __all__ = [ "__author__", "__email__", "__license__", "__version__", "__status__", "Truss", "DataDrivenSolver", ]

20.571429

82

0.697917

24

288

6.375

0.5

0.143791

0.235294

0

0.194444

288

13

83

22.153846

0.659483

0

0.25

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

7ae50d93020389130f7a04ed4c7ed892b8c42fdf

1,743

py

Python

tests/test_basics.py

viki-org/logstash-docker

71d316dfa1792075ffe82398f45561cf25741609

[ "Apache-2.0" ]

305

2016-10-04T04:17:04.000Z

2021-11-16T13:53:05.000Z

tests/test_basics.py

viki-org/logstash-docker

71d316dfa1792075ffe82398f45561cf25741609

[ "Apache-2.0" ]

105

2016-10-10T15:52:39.000Z

2019-06-26T13:39:36.000Z

tests/test_basics.py

viki-org/logstash-docker

71d316dfa1792075ffe82398f45561cf25741609

[ "Apache-2.0" ]

133

2016-11-03T18:01:43.000Z

2022-02-02T12:16:55.000Z

from .fixtures import logstash from .constants import logstash_version_string def test_logstash_is_the_correct_version(logstash): assert logstash_version_string in logstash.stdout_of('logstash --version') def test_the_default_user_is_logstash(logstash): assert logstash.stdout_of('whoami') == 'logstash' def test_that_the_user_home_directory_is_usr_share_logstash(logstash): assert logstash.environment('HOME') == '/usr/share/logstash' def test_locale_variables_are_set_correctly(logstash): assert logstash.environment('LANG') == 'en_US.UTF-8' assert logstash.environment('LC_ALL') == 'en_US.UTF-8' def test_opt_logstash_is_a_symlink_to_usr_share_logstash(logstash): assert logstash.stdout_of('realpath /opt/logstash') == '/usr/share/logstash' def test_all_logstash_files_are_owned_by_logstash(logstash): assert logstash.stdout_of('find /usr/share/logstash ! -user logstash') == '' def test_logstash_user_is_uid_1000(logstash): assert logstash.stdout_of('id -u logstash') == '1000' def test_logstash_user_is_gid_1000(logstash): assert logstash.stdout_of('id -g logstash') == '1000' def test_logging_config_does_not_log_to_files(logstash): assert logstash.stdout_of('grep RollingFile /logstash/config/log4j2.properties') == '' # REF: https://docs.openshift.com/container-platform/3.5/creating_images/guidelines.html def test_all_files_in_logstash_directory_are_gid_zero(logstash): bad_files = logstash.stdout_of('find /usr/share/logstash ! -gid 0').split() assert len(bad_files) is 0 def test_all_directories_in_logstash_directory_are_setgid(logstash): bad_dirs = logstash.stdout_of('find /usr/share/logstash -type d ! -perm /g+s').split() assert len(bad_dirs) is 0

34.176471

90

0.780838

253

1,743

5.011858

0.339921

0.060726

0.156151

0.132492

0.34858

0.255521

0.141956

0

0.016067

0.107286

1,743

50

91

34.86

0.798843

0.04934

0

0.201813

0.020544

0

0.444444

1

0.407407

false

0

0.074074

0

0.481481

0

null

0

null

0

1

0

1

0

2

7afcba4478178056c3c4b8f0dd94cece84b8040b

1,334

py

Python

tests/application/models.py

YoungAspirations/QA-Projects

9f24886977d566548f5629371407187d8017f209

[ "MIT" ]

null

tests/application/models.py

YoungAspirations/QA-Projects

9f24886977d566548f5629371407187d8017f209

[ "MIT" ]

null

tests/application/models.py

YoungAspirations/QA-Projects

9f24886977d566548f5629371407187d8017f209

[ "MIT" ]

null

from application import db class Users(db.Model): id = db.Column(db.Integer, primary_key=True) First_name = db.Column(db.String(30), nullable = False) Last_name = db.Column(db.String(50), nullable = False) User_name = db.Column(db.String(30), nullable = False) Password = db.Column(db.String(30), nullable = False) Email = db.Column(db.String(50), nullable = False) games = db.relationship('Games', backref='users') class GameDetails(db.Model): id = db.Column(db.Integer, primary_key=True) Publisher = db.Column(db.String(30), nullable = True) Genre = db.Column(db.String(30), nullable = True) Units_sold = db.Column(db.Integer, nullable = True) ESRB_Rating = db.Column(db.String(30), nullable = True) Engine = db.Column(db.String(30), nullable = True) games = db.relationship('Games', backref='gamedetails') class Games(db.Model): id = db.Column(db.Integer, primary_key=True) Users_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False) GameDetails_id = db.Column(db.Integer, db.ForeignKey('game_details.id'), nullable=False) Title = db.Column(db.String(30), nullable = False) Platform = db.Column(db.String(30), nullable = True) Rating = db.Column(db.Integer, nullable = True) Status = db.Column(db.String(30), nullable = False)

47.642857

92

0.688906

192

1,334

4.729167

0.213542

0.167401

0.209251

0.211454

0.75

0.677313

0.613436

0.209251

0.132159

0

0.02139

0.158921

1,334

28

93

47.642857

0.787879

0

0.12

0

0.036704

0

1

0

false

0.04

0

1

0

null

0

1

0

null

0

2

7afd81f0836abf10236a169a7a3b6acc4dd1d0a8

689

py

Python

ICS4U/ICS4U-2017-2018-Code/examples/inheritance/Python-based/Vehicle.py

mrseidel-classes/archives

b3e04fd4338e3b3796ad2c681a10fbca69e1dae2

[ "MIT" ]

5

2018-05-06T21:29:00.000Z

2022-02-02T12:02:07.000Z

ICS4U/ICS4U-2017-2018-Code/examples/inheritance/Python-based/Vehicle.py

mrseidel-classes/archives

b3e04fd4338e3b3796ad2c681a10fbca69e1dae2

[ "MIT" ]

null

ICS4U/ICS4U-2017-2018-Code/examples/inheritance/Python-based/Vehicle.py

mrseidel-classes/archives

b3e04fd4338e3b3796ad2c681a10fbca69e1dae2

[ "MIT" ]

null

class Vehicle: ''' Documentation needed here ''' def __init__(self, numberOfTires, colorOfVehicle): ''' Documentation needed here ''' self.numberOfTires = numberOfTires self.colorOfVehicle = colorOfVehicle def start(self): ''' This function starts the vehicle ''' print("I started!") def drive(self): ''' This function drives the vehicle ''' print("I'm driving!") def setColor(color): ''' This function updates the color of the vehicle based on the pass in information Parameters: Color -> a color to update the vehicle's color with ''' this.colorOfVehicle = color def __repr__(self): return "I'm a Vehicle!"

19.685714

59

0.658926

81

689

5.506173

0.481481

0.089686

0.103139

0.071749

0

0.235123

689

35

60

19.685714

0.8463

0.489115

0

0.101983

0

1

0.416667

false

0

0.083333

0.583333

0.166667

0

null

0

null

0

1

0

1

0

2

bb091e39ee9f343a16bc795582b949c70dabc617

2,469

py

Python

src/retrocookie/pr/events.py

iamamutt/retrocookie

4cc4da83c5fc3751377730c06fcef746a06fe60a

[ "MIT" ]

15

2020-06-21T14:35:42.000Z

2022-03-30T15:48:55.000Z

src/retrocookie/pr/events.py

iamamutt/retrocookie

4cc4da83c5fc3751377730c06fcef746a06fe60a

[ "MIT" ]

223

2020-05-22T14:35:05.000Z

2022-03-28T00:19:23.000Z

src/retrocookie/pr/events.py

iamamutt/retrocookie

4cc4da83c5fc3751377730c06fcef746a06fe60a

[ "MIT" ]

4

2020-11-19T12:55:01.000Z

2022-03-15T14:24:25.000Z

"""Events and contexts for the message bus.""" from dataclasses import dataclass from typing import List from retrocookie import git from retrocookie.pr.base import bus from retrocookie.pr.protocols import github @dataclass class GitNotFound(bus.Event): """Cannot find an installation of git.""" @dataclass class BadGitVersion(bus.Event): """The installed version of git is too old.""" version: git.Version expected: git.Version @dataclass class ProjectNotFound(bus.Event): """The generated project could not be identified.""" @dataclass class TemplateNotFound(bus.Event): """The project template could not be identified.""" project: github.Repository @dataclass class LoadProject(bus.Context): """The project repository is being loaded.""" repository: str @dataclass class LoadTemplate(bus.Context): """A template repository is being loaded.""" repository: str @dataclass class RepositoryNotFound(bus.Event): """The repository was not found.""" repository: str @dataclass class PullRequestNotFound(bus.Event): """The pull request was not found.""" pull_request: str @dataclass class PullRequestAlreadyExists(bus.Event): """The pull request already exists.""" template: github.Repository template_pull: github.PullRequest project_pull: github.PullRequest @dataclass class GitFailed(bus.Event): """The git command exited with a non-zero status.""" command: str options: List[str] status: int stdout: str stderr: str @dataclass class GitHubError(bus.Event): """The GitHub API returned an error response.""" url: str method: str code: int message: str errors: List[str] @dataclass class ConnectionError(bus.Event): """A connection to the GitHub API could not be established.""" url: str method: str error: str @dataclass class CreatePullRequest(bus.Context): """A pull request is being created.""" template: github.Repository template_branch: str project_pull: github.PullRequest @dataclass class UpdatePullRequest(bus.Context): """A pull request is being updated.""" template: github.Repository template_pull: github.PullRequest project_pull: github.PullRequest @dataclass class PullRequestCreated(bus.Event): """A pull request was created.""" template: github.Repository template_pull: github.PullRequest project_pull: github.PullRequest

19.289063

66

0.713244

294

2,469

5.959184

0.309524

0.119863

0.050228

0.073059

0.320205

0.268836

0.244863

0.211758

0.15468

0

0.18874

2,469

127

67

19.440945

0.874688

0.253139

0

0.492537

0

1

0

true

0

0.074627

0

0.776119

0

null

0

null

0

1

0

1

0

2

bb0e3a4a424cab3d6b9961d60125be743eac980d

277

py

Python

backend/src/incidents/migrations/0014_merge_20190918_1515.py

pavan168/IncidentManagement

7fbf111922a735d4cbe75969159858d6605a1e0b

[ "MIT" ]

17

2019-01-16T13:10:25.000Z

2021-02-07T02:04:11.000Z

backend/src/incidents/migrations/0014_merge_20190918_1515.py

pavan168/IncidentManagement

7fbf111922a735d4cbe75969159858d6605a1e0b

[ "MIT" ]

360

2019-02-13T15:24:44.000Z

2022-02-26T17:42:33.000Z

backend/src/incidents/migrations/0014_merge_20190918_1515.py

mohamednizar/request-management

a88a2ce35a7a1a98630ffd14c1a31a5173b662c8

[ "MIT" ]

46

2019-01-16T13:10:25.000Z

2021-06-23T02:44:18.000Z

# Generated by Django 2.2.1 on 2019-09-18 15:15 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('incidents', '0013_auto_20190918_1415'), ('incidents', '0011_auto_20190918_1356'), ] operations = [ ]

18.466667

49

0.65343

33

277

5.30303

0.757576

0.137143

0

0.219626

0.227437

277

14

50

19.785714

0.598131

0.162455

0

1

0

0.278261

0.2

0

1

0

false

0

0.125

0

0.5

0

null

0

1

0

1

0

null

0

2

bb2444f0f11fe36608e740690e190ab225f4ca44

1,633

py

Python

models/strategy.py

CBarreiro96/PRICE-INSPECTOR

d77984f8c11817af21cbdaa56a610a359c6d8061

[ "MIT" ]

1

2021-03-21T10:49:46.000Z

models/strategy.py

CBarreiro96/PRICE-INSPECTOR

d77984f8c11817af21cbdaa56a610a359c6d8061

[ "MIT" ]

1

2021-03-13T23:29:29.000Z

models/strategy.py

CBarreiro96/PRICE-INSPECTOR

d77984f8c11817af21cbdaa56a610a359c6d8061

[ "MIT" ]

3

2021-03-30T12:56:05.000Z

2021-06-21T23:20:25.000Z

#!/usr/bin/python """class Strategy""" import models from models.base_model import BaseModel, Base from sqlalchemy import Column, String, Float, ForeignKey from sqlalchemy.orm import relationship class Strategy(BaseModel, Base): """Representation of a Strategy""" __tablename__ = 'strategies' name = Column(String(128), nullable=False) backtests = relationship("Backtest", backref="strategies", cascade="all, delete, delete-orphan") param_0_name = Column(String(60), nullable=False) param_0_value = Column(Float, nullable=False) param_1_name = Column(String(60), default=None) param_1_value = Column(Float, default=None) param_2_name = Column(String(60), default=None) param_2_value = Column(Float, default=None) param_3_name = Column(String(60), default=None) param_3_value = Column(Float, default=None) param_4_name = Column(String(60), default=None) param_4_value = Column(Float, default=None) param_5_name = Column(String(60), default=None) param_5_value = Column(Float, default=None) param_6_name = Column(String(60), default=None) param_6_value = Column(Float, default=None) param_7_name = Column(String(60), default=None) param_7_value = Column(Float, default=None) param_8_name = Column(String(60), default=None) param_8_value = Column(Float, default=None) param_9_name = Column(String(60), default=None) param_9_value = Column(Float, default=None) def __init__(self, *args, **kwargs): """initializes strategy""" super().__init__(*args, **kwargs)

39.829268

66

0.691366

213

1,633

5.051643

0.262911

0.184015

0.252788

0.167286

0.547398

0.522305

0.284387

0

0.032453

0.18861

1,633

40

67

40.825

0.779623

0.049602

0

0.035156

0

1

0.03125

false

0

0.125

0

0.90625

0

null

0

1

0

null

0

2

bb314ff4d3d72fdc85dd64dff7ae3856c4338bdd

165

py

Python

Python/011. Built-ins/04. Athlete Sort.py

subhadeep-123/HackerRank

4596915097e58d9fd7a8bfad3194ac35f0c25177

[ "MIT" ]

2

2020-07-20T19:47:54.000Z

2021-04-19T21:14:59.000Z

Python/011. Built-ins/04. Athlete Sort.py

subhadeep-123/HackerRank

4596915097e58d9fd7a8bfad3194ac35f0c25177

[ "MIT" ]

null

Python/011. Built-ins/04. Athlete Sort.py

subhadeep-123/HackerRank

4596915097e58d9fd7a8bfad3194ac35f0c25177

[ "MIT" ]

null

n, m = map(int, input().split()) array = [input() for _ in range(n)] k = int(input()) for row in sorted(array, key=lambda row: int(row.split()[k])): print(row)

23.571429

62

0.606061

29

165

3.413793

0.551724

0.161616

0

0.169697

165

6

63

27.5

0.722628

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

bb37e66022cf5b3dfa7d812f2c6b4a7dea737948

169

py

Python

strings.py

Abhiforcs/mypythonworkspace

ac5014160fc9b29d1a8d835441e6360f470fae59

[ "MIT" ]

1

2020-05-12T20:19:53.000Z

strings.py

Abhiforcs/mypythonworkspace

ac5014160fc9b29d1a8d835441e6360f470fae59

[ "MIT" ]

null

strings.py

Abhiforcs/mypythonworkspace

ac5014160fc9b29d1a8d835441e6360f470fae59

[ "MIT" ]

null

def count(char,word): total=0 for any in word: if any in char: total = total + 1 return total result = count('a','banana') print(result)

18.777778

29

0.568047

25

169

3.84

0.64

0.104167

0

0.017391

0.319527

169

8

30

21.125

0.817391

0

0.04142

0

1

0.125

false

0

0.25

0.125

1

0

null

0

1

0

null

0

2

bb3ca45e0783016717a57abf87ea77f115739f69

14,523

py

Python

test/testRational.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

1

2021-05-26T19:22:17.000Z

test/testRational.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

null

test/testRational.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

null

import unittest from nzmath.rational import * import nzmath.finitefield as finitefield from nzmath.plugins import FLOATTYPE as Float # Rational, Integer, theIntegerRing, theRationalField class RationalTest (unittest.TestCase): def testInit(self): self.assertEqual("2/1", str(Rational(2))) self.assertEqual("2/1", str(Rational(2))) self.assertEqual("1/2", str(Rational(1,2))) self.assertEqual("1/2", str(Rational(Rational(1,2)))) self.assertEqual("21/26", str(Rational(Rational(7,13),Rational(2,3)))) self.assertEqual("3/2", str(Rational(1.5))) self.assertEqual("3/4", str(Rational(1.5, 2.0))) self.assertRaises(ZeroDivisionError, Rational, 1, 0) self.assertRaises(TypeError, Rational, 1, finitefield.FinitePrimeFieldElement(1,7)) self.assertRaises(TypeError, Rational, finitefield.FinitePrimeFieldElement(1,7), 4) def testPos(self): self.assertEqual("1/2", str(+Rational(2,4))) self.assertEqual("-3/4", str(+Rational(-3,4))) def testNeg(self): self.assertEqual(-Rational(2,4), Rational(-1,2)) self.assertEqual("3/4", str(-Rational(-3,4))) def testAdd(self): self.assertEqual(Rational(13,6), Rational(2,3) + Rational(3,2)) self.assertEqual(Rational(31,18), Rational(13,18) + 1) self.assertEqual(Rational(2000000000000000000000000000000000000001,2), 1000000000000000000000000000000000000000 + Rational(1,2)) self.assertEqual(1, Rational(1,2) + Rational(1,3) + Rational(1,6)) self.assertEqual(1, Rational(1,2) + 0.5) self.assertEqual(1, 0.5 + Rational(1,2)) def testIadd(self): a = Rational(1,2) a += Rational(1,3) self.assertEqual(Rational(5,6), a) def testSub(self): self.assertEqual(Rational(-5,6), Rational(2,3) - Rational(3,2)) self.assertEqual(Rational(-5,18), Rational(13,18) - 1) self.assertEqual(Rational(1999999999999999999999999999999999999999,2), 1000000000000000000000000000000000000000 - Rational(1,2)) self.assertEqual(0, Rational(1,2) - Rational(1,3) - Rational(1,6)) self.assertEqual(0, Rational(1,2) - 0.5) self.assertEqual(0, 0.5 - Rational(1,2)) def testIsub(self): a = Rational(1,2) a -= Rational(1,3) self.assertEqual(Rational(1,6), a) def testMul(self): self.assertEqual(1, Rational(2,3) * Rational(3,2)) self.assertEqual(Rational(26,18), Rational(13,18) * 2) self.assertEqual(500000000000000000000000000000000000000, 1000000000000000000000000000000000000000 * Rational(1,2)) self.assertEqual(Rational(1, 36), Rational(1,2) * Rational(1,3) * Rational(1,6)) ## self.assertEqual(Rational(1,4), Rational(1,2) * 0.5) ## self.assertEqual(Rational(1,4), 0.5 * Rational(1,2)) self.assertEqual(0.25, Rational(1,2) * 0.5) self.assertEqual(0.25, 0.5 * Rational(1,2)) self.assertEqual(Float(0.25), Rational(1,2) * Float(0.5)) self.assertEqual(Float(0.25), Float(0.5) * Rational(1,2)) def testImul(self): a = Rational(1,2) a *= Rational(1,3) self.assertEqual(Rational(1,6), a) def testDiv(self): self.assertEqual(Rational(4,9), Rational(2,3) / Rational(3,2)) self.assertEqual(Rational(13,36), Rational(13,18) / 2) self.assertEqual(2000000000000000000000000000000000000000, 1000000000000000000000000000000000000000 / Rational(1,2)) self.assertEqual(9, Rational(1,2) / Rational(1,3) / Rational(1,6)) self.assertEqual(1, Rational(1,2) / 0.5) self.assertEqual(1, 0.5 / Rational(1,2)) def testIdiv(self): a = Rational(1,2) a /= Rational(1,3) self.assertEqual(Rational(3,2), a) def testPow(self): self.assertEqual(Rational(2**4, 3**4), Rational(2,3) ** 4) self.assertEqual(Rational(3,2), Rational(2,3) ** (-1)) def testIpow(self): a = Rational(1,2) a **= 3 self.assertEqual(Rational(1,8), a) a **= -1 self.assertEqual(8, a) def testLt(self): self.assertTrue(Rational(5,7) < Rational(3,4)) self.assertFalse(Rational(3,4) < Rational(5,7)) self.assertFalse(Rational(3,4) < Rational(3,4)) self.assertTrue(Rational(132,133) < 1) self.assertTrue(Rational(-13,12) < -1) self.assertTrue(1 > Rational(132,133)) self.assertTrue(Rational(132,133) < 1.000001) def testLe(self): self.assertTrue(Rational(5,7) <= Rational(3,4)) self.assertFalse(Rational(3,4) <= Rational(5,7)) self.assertTrue(Rational(3,4) <= Rational(3,4)) self.assertTrue(Rational(132,133) <= 1) self.assertTrue(Rational(-13,12) <= -1) self.assertTrue(1 >= Rational(132,133)) def testEq(self): self.assertTrue(Rational(1,2) == Rational(1,2)) self.assertTrue(Rational(-1,2) == Rational(-1,2)) self.assertTrue(Rational(4,2) == 2) self.assertTrue(2 == Rational(14,7)) self.assertFalse(Rational(3,5) == Rational(27,46)) def testNe(self): self.assertTrue(Rational(1,2) != Rational(1,3)) self.assertTrue(Rational(1,2) != Rational(-1,2)) self.assertFalse(Rational(1,2) != Rational(1,2)) def testGt(self): self.assertTrue(Rational(3,4) > Rational(5,7)) self.assertFalse(Rational(5,7) > Rational(3,4)) self.assertFalse(Rational(3,4) > Rational(3,4)) self.assertTrue(Rational(13,12) > 1) self.assertTrue(Rational(-11,12) > -1) self.assertTrue(1 < Rational(134,133)) def testGe(self): self.assertTrue(Rational(3,4) >= Rational(5,7)) self.assertFalse(Rational(5,7) >= Rational(3,4)) self.assertTrue(Rational(3,4) >= Rational(3,4)) self.assertTrue(Rational(13,12) >= 1) self.assertTrue(Rational(-11,12) >= -1) self.assertTrue(1 <= Rational(134,133)) def testLong(self): self.assertTrue(1 == int(Rational(13,12))) self.assertTrue(0 == int(Rational(12,13))) self.assertTrue(-1 == int(Rational(-1,14))) def testInt(self): self.assertTrue(1 == int(Rational(13,12))) self.assertTrue(0 == int(Rational(12,13))) self.assertTrue(-1 == int(Rational(-1,14))) def testTrim(self): self.assertEqual(Rational(1,3), Rational(333,1000).trim(5)) self.assertEqual(Rational(13,21), Rational(34,55).trim(33)) self.assertEqual(Rational(21,34), Rational(34,55).trim(34)) def testExpand(self): self.assertEqual(Rational(-33,100), Rational(-1, 3).expand(10,100)) def testFloat(self): self.assertTrue(isinstance(float(Rational(1,4)), float)) self.assertEqual(0.25, float(Rational(1,4))) def testDecimalString(self): self.assertEqual("0.25000", Rational(1,4).decimalString(5)) self.assertEqual("0.33333", Rational(1,3).decimalString(5)) def testNonzero(self): self.assertTrue(Rational(1,1)) self.assertFalse(Rational(0,1)) def testHash(self): self.assertTrue(hash(Rational(1,2))) self.assertEqual(hash(Rational(1)), hash(Rational(1))) self.assertNotEqual(hash(Rational(1)), hash(Rational(2))) self.assertNotEqual(hash(Rational(1,2)), hash(Rational(2,3))) self.assertEqual(hash(Rational(3,111)), hash(Rational(36,1332))) class IntegerTest(unittest.TestCase): def setUp(self): self.three = Integer(3) def testMul(self): self.assertEqual(24, self.three * 8) self.assertEqual([0,0,0], self.three * [0]) self.assertEqual((0,0,0), self.three * (0,)) self.assertEqual(Rational(6,5), self.three * Rational(2,5)) def testRmul(self): self.assertEqual(24, 8 * self.three) self.assertEqual([0,0,0], [0] * self.three) self.assertEqual((0,0,0), (0,) * self.three) def testRmod(self): self.assertEqual(1, 4 % self.three) def testTruediv(self): self.assertEqual(Rational(1, 3), 1 / self.three) self.assertEqual(Rational(2, 1), 2 / Integer(1)) self.assertEqual(Rational, type(2 / Integer(1))) def testPow(self): self.assertEqual(25, pow(5, Integer(2))) self.assertEqual(1, pow(self.three, 4, 5)) # return Rational when index is negative self.assertEqual(Rational(1, 2), pow(Integer(2), -1)) # not clear that failing these tests is an issue # self.assertRaises(TypeError, pow, 3, Integer(4), 5) # self.assertRaises(TypeError, pow, 3, 4, Integer(5)) # raise ValueError when index is negative and modulus is given self.assertRaises(ValueError, pow, Integer(2), -1, 5) def testGetRing(self): self.assertEqual(theIntegerRing, self.three.getRing()) def testNonzero(self): self.assertTrue(Integer(1)) self.assertFalse(Integer(0)) def testHash(self): self.assertTrue(hash(Integer(12))) self.assertEqual(hash(Integer(1)), hash(Integer(1))) self.assertNotEqual(hash(Integer(1)), hash(Integer(2))) class IntegerRingTest(unittest.TestCase): def testContains(self): self.assertTrue(1 in theIntegerRing) self.assertTrue(1 in theIntegerRing) self.assertTrue(Integer(1) in theIntegerRing) self.assertTrue(Rational(1,2) not in theIntegerRing) self.assertTrue((1,) not in theIntegerRing) def testGetQuotientField(self): self.assertTrue(theRationalField is theIntegerRing.getQuotientField()) def testIssubring(self): self.assertTrue(theIntegerRing.issubring(theRationalField)) self.assertTrue(theIntegerRing.issubring(theIntegerRing)) def testIssuperring(self): self.assertFalse(theIntegerRing.issuperring(theRationalField)) self.assertTrue(theIntegerRing.issuperring(theIntegerRing)) def testProperties(self): self.assertTrue(theIntegerRing.isdomain()) self.assertTrue(theIntegerRing.isnoetherian()) self.assertTrue(theIntegerRing.iseuclidean()) self.assertTrue(theIntegerRing.isufd()) self.assertTrue(theIntegerRing.ispid()) self.assertFalse(theIntegerRing.isfield()) def testGcd(self): self.assertEqual(1, theIntegerRing.gcd(1, 2)) self.assertEqual(2, theIntegerRing.gcd(2, 4)) self.assertEqual(10, theIntegerRing.gcd(0, 10)) self.assertEqual(10, theIntegerRing.gcd(10, 0)) self.assertEqual(1, theIntegerRing.gcd(13, 21)) def testLcm(self): self.assertEqual(2, theIntegerRing.lcm(1, 2)) self.assertEqual(4, theIntegerRing.lcm(2, 4)) self.assertEqual(0, theIntegerRing.lcm(0, 10)) self.assertEqual(0, theIntegerRing.lcm(10, 0)) self.assertEqual(273, theIntegerRing.lcm(13, 21)) def testExtGcd(self): self.assertEqual((1, 0, 1), theIntegerRing.extgcd(1, 2)) def testConstants(self): self.assertEqual(1, theIntegerRing.one) self.assertTrue(isinstance(theIntegerRing.one, Integer)) self.assertEqual(0, theIntegerRing.zero) self.assertTrue(isinstance(theIntegerRing.zero, Integer)) def testStrings(self): # str self.assertEqual("Z", str(theIntegerRing)) # repr self.assertEqual("IntegerRing()", repr(theIntegerRing)) def testHash(self): dictionary = {} dictionary[theIntegerRing] = 1 self.assertEqual(1, dictionary[IntegerRing()]) class RationalFieldTest(unittest.TestCase): def testContains(self): self.assertTrue(1 in theRationalField) self.assertTrue(1 in theRationalField) self.assertTrue(Integer(1) in theRationalField) self.assertTrue(Rational(1,2) in theRationalField) self.assertTrue(3.14 not in theRationalField) self.assertTrue((1,2) not in theRationalField) def testGetQuotientField(self): self.assertTrue(theRationalField is theRationalField.getQuotientField()) def testIssubring(self): self.assertTrue(theRationalField.issubring(theRationalField)) self.assertFalse(theRationalField.issubring(theIntegerRing)) def testIssuperring(self): self.assertTrue(theRationalField.issuperring(theRationalField)) self.assertTrue(theRationalField.issuperring(theIntegerRing)) def testProperties(self): self.assertTrue(theRationalField.isfield()) self.assertTrue(theRationalField.isdomain()) def testConstants(self): self.assertEqual(1, theRationalField.one) self.assertTrue(isinstance(theRationalField.one, Rational)) self.assertEqual(0, theRationalField.zero) self.assertTrue(isinstance(theRationalField.zero, Rational)) def testStrings(self): # str self.assertEqual("Q", str(theRationalField)) # repr self.assertEqual("RationalField()", repr(theRationalField)) def testHash(self): dictionary = {} dictionary[theRationalField] = 1 self.assertEqual(1, dictionary[RationalField()]) class IntegerIfIntOrLongTest (unittest.TestCase): def testInt(self): b = IntegerIfIntOrLong(1) self.assertTrue(isinstance(b, Integer)) def testLong(self): b = IntegerIfIntOrLong(1) self.assertTrue(isinstance(b, Integer)) def testRational(self): b = IntegerIfIntOrLong(Rational(1,2)) self.assertFalse(isinstance(b, Integer)) self.assertTrue(isinstance(b, Rational)) def testTuple(self): s = IntegerIfIntOrLong((1,1)) self.assertTrue(isinstance(s, tuple)) for i in s: self.assertTrue(isinstance(i, Integer)) def testList(self): s = IntegerIfIntOrLong([1,1]) self.assertTrue(isinstance(s, list)) for i in s: self.assertTrue(isinstance(i, Integer)) def testListOfTuple(self): ss = IntegerIfIntOrLong([(1,1),(2,2)]) self.assertTrue(isinstance(ss, list)) for s in ss: self.assertTrue(isinstance(s, tuple)) for i in s: self.assertTrue(isinstance(i, Integer)) def suite(suffix = "Test"): suite = unittest.TestSuite() all_names = globals() for name in all_names: if name.endswith(suffix): suite.addTest(unittest.makeSuite(all_names[name], "test")) return suite if __name__ == '__main__': runner = unittest.TextTestRunner() runner.run(suite())

38.218421

91

0.641534

1,753

14,523

5.308614

0.111238

0.149903

0.046207

0.021062

0.573931

0.446486

0.35332

0.287234

0.268644

0.221148

0

0.08932

0.212146

14,523

379

92

38.319261

0.723999

0.029333

0

0.204698

0

0.006605

0

0.630872

1

0.208054

false

0

0.013423

0

0.241611

0

null

0

null

0

1

0

1

0

2

bb4365a01dbad1b2b19030bedd47cf890a7de254

1,014

py

Python

analysis/NumpyFunctionLoop.py

clearyb1/COVIDDataViz

e3001afafaf67d2447181268d8ca796c27a6df13

[ "MIT" ]

null

analysis/NumpyFunctionLoop.py

clearyb1/COVIDDataViz

e3001afafaf67d2447181268d8ca796c27a6df13

[ "MIT" ]

null

analysis/NumpyFunctionLoop.py

clearyb1/COVIDDataViz

e3001afafaf67d2447181268d8ca796c27a6df13

[ "MIT" ]

null

import numpy as np #create array of weekly vaccination numbers from https://opendata-geohive.hub.arcgis.com/datasets/0101ed10351e42968535bb002f94c8c6_0.csv?outSR=%7B%22latestWkid%22%3A3857%2C%22wkid%22%3A102100%7D a= np.array([3946, 43856, 52659, 49703, 51381, 56267, 32176, 86434, 88578, 88294, 91298, 64535, 133195, 139946, 131038, 155716, 188626, 211497, 245947, 323166, 331292, 305479, 277195, 290362, 357077, 370059, 370544, 390891, 373319, 336086, 300378, 232066, 232234, 229694, 183158, 121650, 108327, 95192, 63718, 43289, 23643, 21081, 24567, 22115, 18434, 15138, 21262, 21259, 19713, 14174, 14862, ]) #print(a.shape) #print(np.mean(a)) #print(np.median(a)) #print(np.max(a)) #Generate min and % of adult population vaccinated per week def uptake(value): WkTotal = np.min(value) WkTotalStr = "% s" % WkTotal Str1="Minimum Uptake " print(Str1 + WkTotalStr) Str2="% of Population Vaccinated per Week" print(Str2) for i in a: print(i / 4000000 * 100) uptake(a)

12.518519

194

0.710059

143

1,014

5.027972

0.762238

0.029207

0.022253

0.075104

0

0.399297

0.157791

1,014

80

195

12.675

0.442623

0.312623

0

0.076923

0

1

0.015873

false

0

0.015873

0

0.031746

0.047619

0

null

0

1

0

1

0

null

0

2

bb44631e394af313f273110dc22a3affea46815e

1,136

py

Python

mExports.py

SkyLined/mProductVersionAndLicense

89bfe34add2eb3d5866f4ead43ef3b650841cd8d

[ "CC-BY-4.0" ]

3

2018-03-28T12:05:13.000Z

2021-01-30T07:26:52.000Z

mExports.py

SkyLined/mProductDetails

c5aed22b409f01ea509deb00d0a2440ae7afdacf

[ "CC-BY-4.0" ]

null

mExports.py

SkyLined/mProductDetails

c5aed22b409f01ea509deb00d0a2440ae7afdacf

[ "CC-BY-4.0" ]

null

from .cLicenseServer import cLicenseServer; from .cProductDetails import cProductDetails; from .faoGetLicensesFromFile import faoGetLicensesFromFile; from .faoGetLicensesFromRegistry import faoGetLicensesFromRegistry; from .faoGetProductDetailsForAllLoadedModules import faoGetProductDetailsForAllLoadedModules; from .foGetLicenseCollectionForAllLoadedProducts import foGetLicenseCollectionForAllLoadedProducts; from .fo0GetProductDetailsForMainModule import fo0GetProductDetailsForMainModule; from .fo0GetProductDetailsForModule import fo0GetProductDetailsForModule; from .ftasGetLicenseErrorsAndWarnings import ftasGetLicenseErrorsAndWarnings; from .fsGetSystemId import fsGetSystemId; from .fWriteLicensesToProductFolder import fWriteLicensesToProductFolder; __all__ = [ "cLicenseServer", "cProductDetails", "faoGetLicensesFromFile", "faoGetLicensesFromRegistry", "faoGetProductDetailsForAllLoadedModules", "foGetLicenseCollectionForAllLoadedProducts", "fo0GetProductDetailsForMainModule", "fo0GetProductDetailsForModule", "ftasGetLicenseErrorsAndWarnings", "fsGetSystemId", "fWriteLicensesToProductFolder", ];

45.44

99

0.876761

56

1,136

17.714286

0.25

0

0.005687

0.071303

1,136

25

100

45.44

0.934597

0

0.257696

0.220756

0

1

0

false

0

0.458333

0

0.458333

0

1

null

0

null

0

1

0

2

bb53be5d9535e67e41679bc0cccd687e1f49ef89

8,349

py

Python

3rdPartyLibraries/FuXi-master/test/SPARQL/test.py

mpetyx/pyrif

2f7ba863030d7337bb39ad502d1e09e26ac950d2

[ "MIT" ]

null

3rdPartyLibraries/FuXi-master/test/SPARQL/test.py

mpetyx/pyrif

2f7ba863030d7337bb39ad502d1e09e26ac950d2

[ "MIT" ]

null

3rdPartyLibraries/FuXi-master/test/SPARQL/test.py

mpetyx/pyrif

2f7ba863030d7337bb39ad502d1e09e26ac950d2

[ "MIT" ]

null

# """ # FuXi Harness for W3C SPARQL1.1 Entailment Evaluation Tests # """ # import unittest # from pprint import pprint # from urllib2 import urlopen # from FuXi.Rete.RuleStore import SetupRuleStore # from FuXi.Horn.HornRules import HornFromN3 # from FuXi.Rete.Proof import ImmutableDict # from FuXi.SPARQL.BackwardChainingStore import * # from FuXi.Rete.Util import setdict # from rdflib import Namespace, RDF, RDFS, URIRef # from rdflib import BNode, Graph, Literal, Namespace, RDF, RDFS, URIRef, Variable # from rdfextras.sparql.parser import parse # from rdflib import OWL as OWLNS # from rdflib.store import Store # from amara.lib import U # MANIFEST = Namespace('http://www.w3.org/2001/sw/DataAccess/tests/test-manifest#') # QUERY = Namespace('http://www.w3.org/2001/sw/DataAccess/tests/test-query#') # SD = Namespace('http://www.w3.org/ns/sparql-service-description#') # TEST = Namespace('http://www.w3.org/2009/sparql/docs/tests/data-sparql11/entailment/manifest#') # STRING = Namespace('http://www.w3.org/2000/10/swap/string#') # ENT = Namespace('http://www.w3.org/ns/entailment/') # SUPPORTED_ENTAILMENT=[ # ENT.RDF, # ENT.RDFS # ] # SKIP={ # "rdf01" : "Quantification over predicates", # "rdfs01": "Quantification over predicates", # "rdf02" : "Reification", # "rdf03" : "Parse of query fails", # "rdf10" : "Malformed test", #might be fixed # "rdfs05": "Quantification over predicates (unary)", # "rdfs11": "Reflexivity of rdfs:subClassOf (?x -> rdfs:Container)" # } # nsMap = { # u'rdfs' :RDFS, # u'rdf' :RDF, # u'owl' :OWLNS, # u'mf' :MANIFEST, # u'sd' :SD, # u'test' :MANIFEST, # u'qt' :QUERY # } # MANIFEST_QUERY = \ # """ # SELECT ?test ?name ?queryFile ?rdfDoc ?regime ?result # WHERE { # ?test # a test:QueryEvaluationTest; # mf:name ?name; # mf:action [ # qt:query ?queryFile; # qt:data ?rdfDoc; # sd:entailmentRegime ?regime # ]; # mf:result ?result # } ORDER BY ?test """ # def GetTests(): # manifestGraph = Graph().parse( # open(os.getcwd()+'/SPARQL/W3C/entailment/manifest.ttl'), # format='n3') # rt = manifestGraph.query( # MANIFEST_QUERY, # initNs=nsMap, # DEBUG = False) # for test, name, queryFile, rdfDoc, regime, result in rt: # yield test.split(TEST)[-1], \ # name, \ # queryFile, \ # rdfDoc, \ # regime, \ # result # def castToTerm(node): # if node.xml_local == 'bnode': # return BNode(U(node)) # elif node.xml_local == 'uri': # return URIRef(U(node)) # elif node.xml_local == 'literal': # if node.xml_select('string(@datatype)'): # dT = URIRef(U(node.xpath('string(@datatype)'))) # return Literal(U(node),datatype=dT) # else: # return Literal(U(node)) # else: # raise NotImplementedError() # def parseResults(sparqlRT): # from amara import bindery # actualRT = [] # doc = bindery.parse(sparqlRT, # prefixes={ # u'sparql':u'http://www.w3.org/2005/sparql-results#'}) # askAnswer=doc.xml_select('string(/sparql:sparql/sparql:boolean)') # if askAnswer: # askAnswer = U(askAnswer) # actualRT=askAnswer==u'true' # else: # for result in doc.xml_select('/sparql:sparql/sparql:results/sparql:result'): # currBind = {} # for binding in result.binding: # varVal = U(binding.name) # var = Variable(varVal) # term = castToTerm(binding.xml_select('*')[0]) # currBind[var]=term # if currBind: # actualRT.append(currBind) # return actualRT # class TestSequence(unittest.TestCase): # verbose = False # def setUp(self): # rule_store, rule_graph, self.network = SetupRuleStore(makeNetwork=True) # self.network.nsMap = nsMap # self.rules=list(HornFromN3(open('SPARQL/W3C/rdf-rdfs.n3'))) # def test_generator(testName, label, queryFile, rdfDoc, regime, result, debug): # def test(self,debug=debug): # print(testName, label) # query = urlopen(queryFile).read() # factGraph = Graph().parse(urlopen(rdfDoc),format='n3') # factGraph.parse(open('SPARQL/W3C/rdfs-axiomatic-triples.n3'),format='n3') # self.rules.extend(self.network.setupDescriptionLogicProgramming( # factGraph, # addPDSemantics=True, # constructNetwork=False)) # if debug: # pprint(list(self.rules)) # topDownStore=TopDownSPARQLEntailingStore( # factGraph.store, # factGraph, # idb=self.rules, # DEBUG=debug, # nsBindings=nsMap, # decisionProcedure = BFP_METHOD, # identifyHybridPredicates = True, # templateMap={ # STRING.contains : "REGEX(%s,%s)" # }) # targetGraph = Graph(topDownStore) # parsedQuery=parse(query) # for pref,nsUri in (setdict(nsMap) | setdict( # parsedQuery.prolog.prefixBindings)).items(): # targetGraph.bind(pref,nsUri) # # rt=targetGraph.query('',parsedQuery=parsedQuery) # print(query) # actualSolns=[ImmutableDict([(k,v) # for k,v in d.items()]) # for d in parseResults( # targetGraph.query(query).serialize( # format='xml'))] # expectedSolns=[ImmutableDict([(k,v) # for k,v in d.items()]) # for d in parseResults(urlopen(result).read())] # actualSolns.sort(key=lambda d:hash(d)) # expectedSolns.sort(key=lambda d:hash(d)) # self.failUnless(set(actualSolns) == set(expectedSolns), # "Answers don't match %s v.s. %s"%(actualSolns, # expectedSolns) # ) # if debug: # for network,goal in topDownStore.queryNetworks: # pprint(goal) # network.reportConflictSet(True) # return test # if __name__ == '__main__': # from optparse import OptionParser # op = OptionParser('usage: %prog [options]') # op.add_option('--profile', # action='store_true', # default=False, # help = 'Whether or not to run a profile') # op.add_option('--singleTest', # help = 'The short name of the test to run') # op.add_option('--debug','-v', # action='store_true', # default=False, # help = 'Run the test in verbose mode') # (options, facts) = op.parse_args() # for test, name, queryFile, rdfDoc, regime, result in GetTests(): # if test in SKIP or options.singleTest is not None and options.singleTest != test: # if test in SKIP: # print "\tSkipping (%s)"%test,SKIP[test]#>>sys.stderr,SKIP[test], # elif regime in SUPPORTED_ENTAILMENT: # test_name = 'test_%s' % test # test = test_generator(test, name, queryFile, rdfDoc, regime, result, options.debug) # setattr(TestSequence, test_name, test) # if options.profile: # from hotshot import Profile, stats # p = Profile('fuxi.profile') # p.runcall(unittest.TextTestRunner(verbosity=5).run, # unittest.makeSuite(TestSequence)) # p.close() # s = stats.load('fuxi.profile') # s.strip_dirs() # s.sort_stats('time','cumulative','pcalls') # s.print_stats(.1) # s.print_callers(.05) # s.print_callees(.05) # else: # unittest.TextTestRunner(verbosity=5).run( # unittest.makeSuite(TestSequence) # )

38.474654

102

0.543538

838

8,349

5.369928

0.318616

0.010889

0.014

0.018667

0.160667

0.144444

0.087111

0.040889

0

0.012031

0.323033

8,349

216

103

38.652778

0.784147

0.948856

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

246d97b601c5bd5a2c4ed52accec7c24dfdc27f3

1,265

py

Python

3er Elemento/insertar_multiples_registros.py

Antonio985/SeminarioDeProgramacion

a1bdd7fa6fa202a0a7a2e9a0f72def24d0f1c465

[ "Unlicense" ]

null

3er Elemento/insertar_multiples_registros.py

Antonio985/SeminarioDeProgramacion

a1bdd7fa6fa202a0a7a2e9a0f72def24d0f1c465

[ "Unlicense" ]

null

3er Elemento/insertar_multiples_registros.py

Antonio985/SeminarioDeProgramacion

a1bdd7fa6fa202a0a7a2e9a0f72def24d0f1c465

[ "Unlicense" ]

null

# Realizar la importacion del modulo postgres sql import psycopg2 # Realizar conexion a base de datos conexion = psycopg2.connect(user='postgres', password='admin', host='127.0.0.1', port='5432', database='testg02_db') # utilizar el metodo cursor cursor = conexion.cursor() # creamos la setencia sql sql = 'INSERT INTO persona(nombre, apellido, mail) VALUES(%s,%s,%s)' # Creamos una varieble y asignacion de tuplas valores = (('guillermo', 'MARTINEZ', 'eduardo.martinez@ues.mx'), ('joaquin', 'TORRES', 'enrrique.torre@ues.mx'), ('Maria', 'MONTAÑO', 'jesus.montalo@ues.mx'), ('Pedro', 'MURRIETA', 'alonso.murrieta@ues.mx'), ('Marco', 'NAVARRO', 'luis.navarro@ues.mx') ) # invocar la variable utilizando el metodo execute() cursor.executemany(sql, valores) # Guardaremos la informacion en la base de datos # Utilizaremos el objeto de de conexio, invocando el metodo commit() conexion.commit() # Recuperaremos los registros que se han sido insertados registros_insertados = cursor.rowcount print(f'Registro insertado: {registros_insertados}') # cerrar la conexion y cursor cursor.close() conexion.close()

34.189189

68

0.651383

150

1,265

5.473333

0.626667

0.030451

0.026797

0

0.01433

0.227668

1,265

36

69

35.138889

0.825998

0.334387

0

0.373045

0.105897

0

0.027778

0

1

0

false

0.052632

0

0.052632

0

null

0

null

0

1

0

1

0

2

246e0a5f8b17a9b0843c7beecad945fa0daad6a6

307

py

Python

03.Complete Python Developer - Zero to Mastery - AN/05.Advanced Python Decorators/decorators3.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

3

2020-06-01T04:17:18.000Z

2020-12-18T03:05:55.000Z

03.Complete Python Developer - Zero to Mastery - AN/05.Advanced Python Decorators/decorators3.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

1

2020-04-25T08:01:59.000Z

03.Complete Python Developer - Zero to Mastery - AN/05.Advanced Python Decorators/decorators3.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

7

2020-04-26T10:02:36.000Z

2021-06-08T05:12:46.000Z

#Decorator Pattern def my_decorator(func): def wrap_func(*args, **kwargs): print("**********") func(*args, **kwargs) print("**********") return wrap_func @my_decorator def hello(greeting,emoji, withLove="your love"): print(greeting,emoji, withLove) hello('yo yo', '<3')

23.615385

48

0.589577

36

307

4.916667

0.5

0.124294

0.158192

0.214689

0

0.004049

0.19544

307

13

49

23.615385

0.712551

0.055375

0

0.2

0

0.124138

0

1

0.3

false

0

0.4

0.3

0

null

0

1

0

null

0

1

0

2

247082659fc75104497197168be41753057b14d3

88

py

Python

tester.py

sritzow/sritzow.github.io

10eb5d30ed425020154dbc9aeaecf2bfbe911b87

[ "MIT" ]

null

tester.py

sritzow/sritzow.github.io

10eb5d30ed425020154dbc9aeaecf2bfbe911b87

[ "MIT" ]

null

tester.py

sritzow/sritzow.github.io

10eb5d30ed425020154dbc9aeaecf2bfbe911b87

[ "MIT" ]

null

import pymongo conn = pymongo.MongoClient() db = conn.tweets db.tweets.dropDatabase()

12.571429

28

0.761364

11

88

6.090909

0.636364

0

0.125

88

6

29

14.666667

0.87013

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

247312d285b054cd39227aef99a3e1dffd566287

522

py

Python

src/simfoni/apps/revenue/models/revenue_group.py

django-stars/simfoni-test

eaca4adc8177505e7c53e708456fd0dbb6be0b71

[ "MIT" ]

null

src/simfoni/apps/revenue/models/revenue_group.py

django-stars/simfoni-test

eaca4adc8177505e7c53e708456fd0dbb6be0b71

[ "MIT" ]

null

src/simfoni/apps/revenue/models/revenue_group.py

django-stars/simfoni-test

eaca4adc8177505e7c53e708456fd0dbb6be0b71

[ "MIT" ]

4

2018-04-26T17:43:24.000Z

2018-05-10T14:11:09.000Z

from django.core.validators import MinValueValidator from django.db import models from django.utils.translation import ugettext_lazy as _ from core.models import AbstractBaseModel class RevenueGroup(AbstractBaseModel): name = models.CharField(_('Name'), max_length=255, unique=True) revenue_from = models.DecimalField(_('From'), max_digits=14, decimal_places=2, validators=[MinValueValidator(0)]) revenue_to = models.DecimalField(_('To'), max_digits=14, decimal_places=2, validators=[MinValueValidator(0)])

43.5

117

0.791188

64

522

6.265625

0.5

0.074813

0.054863

0.089776

0.264339

0

0.023404

0.099617

522

11

118

47.454545

0.829787

0

0.019157

0

1

0

false

0

0.5

0

1

0

null

0

null

0

1

0

1

0

2

2475dede311738c11a698f61d9c18ddd93bd1b1b

1,972

py

Python

hgw_frontend/hgw_frontend/__init__.py

crs4/health-gateway

e18d945b593fa5efcebe7ee33f7e8991bbe1803d

[ "MIT" ]

5

2018-05-16T22:58:01.000Z

2020-01-14T11:12:17.000Z

hgw_frontend/hgw_frontend/__init__.py

PhilanthroLab/health-gateway

e18d945b593fa5efcebe7ee33f7e8991bbe1803d

[ "MIT" ]

10

2018-04-13T15:56:49.000Z

2019-12-05T08:57:47.000Z

hgw_frontend/hgw_frontend/__init__.py

PhilanthroLab/health-gateway

e18d945b593fa5efcebe7ee33f7e8991bbe1803d

[ "MIT" ]

6

2019-10-02T08:39:12.000Z

2020-06-23T00:18:03.000Z

# Copyright (c) 2017-2018 CRS4 # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation the rights to use, # copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, # and to permit persons to whom the Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, # INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE # AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, # DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. CONFIRM_ACTIONS = ( 'add', 'delete' ) ERRORS_MESSAGE = { 'MISSING_PARAM': 'Missing parameters', 'UNKNOWN_ACTION': 'Unknown action', 'INVALID_CONFIRMATION_CODE': 'Confirmation code not valid', 'INVALID_FR_STATUS': 'Invalid flow request status', 'EXPIRED_CONFIRMATION_ID': 'Confirmation code expired', 'INVALID_CONSENT_STATUS': 'Invalid consent status', 'UNKNOWN_CONSENT': 'Unknown consent', 'INVALID_DATA': 'Invalid parameters', 'MISSING_PERSON_ID': 'Missing person id', 'INTERNAL_GATEWAY_ERROR': 'internal_health_gateway_error', 'INVALID_CONSENT_CLIENT': 'invalid_consent_client', 'CONSENT_CONNECTION_ERROR': 'consent_connection_error', 'INVALID_BACKEND_CLIENT': 'invalid_backend_client', 'BACKEND_CONNECTION_ERROR': 'backend_connection_error', 'ALL_CONSENTS_ALREADY_CREATED': 'all_required_consents_already_created' }

48.097561

104

0.766227

262

1,972

5.599237

0.484733

0.059986

0.017723

0

0.005412

0.156694

1,972

40

105

49.3

0.876729

0.531947

0

0.717439

0.408389

0

1

0

false

0

null

0

1

null

0

2

248c70fc15f6f7e34634c4bd3b90f8b9c838674d

889

py

Python

src/models/user.py

solnsumei/fastapi-template

a25a81f24ebe198ea2a49657da83b534260afdc7

[ "MIT" ]

3

2021-04-19T06:46:48.000Z

2021-09-16T15:00:05.000Z

src/models/user.py

solnsumei/fastapi-template

a25a81f24ebe198ea2a49657da83b534260afdc7

[ "MIT" ]

null

src/models/user.py

solnsumei/fastapi-template

a25a81f24ebe198ea2a49657da83b534260afdc7

[ "MIT" ]

null

from passlib.context import CryptContext from src.models.base.basemodel import ModelWithStatus, fields pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") class User(ModelWithStatus): email = fields.CharField(max_length=50, unique=True) password = fields.CharField(max_length=250) is_admin = fields.BooleanField(default=False) role = fields.ForeignKeyField('models.Role', related_name='users', null=True) @classmethod async def find_by_email(cls, email): return await cls.filter(email=email).first() @staticmethod def generate_hash(password: str): return pwd_context.hash(password) @staticmethod def verify_hash(password: str, hashed_password: str): return pwd_context.verify(password, hashed_password) class Meta: table = "users" class PydanticMeta: exclude = ['password']

25.4

81

0.713161

103

889

6.029126

0.563107

0.048309

0.057971

0.077295

0.086957

0

0.006897

0.184477

889

34

82

26.147059

0.849655

0

0.095238

0

0.044118

0

1

0.095238

false

0.333333

0.095238

0.666667

0

null

0

null

0

1

0

1

0

2

249033ea477e66aafa5d9a09c2840e1dbce46b7f

224

py

Python

gbe/views/view_summer_act_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

1

2021-03-14T11:56:47.000Z

gbe/views/view_summer_act_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

180

2019-09-15T19:52:46.000Z

2021-11-06T23:48:01.000Z

gbe/views/view_summer_act_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

null

from gbe.forms import ( SummerActForm, ) from gbe.views import ViewActView class ViewSummerActView(ViewActView): object_form_type = SummerActForm bid_prefix = "The Summer Act" edit_name = "summeract_edit"

18.666667

37

0.745536

26

224

6.230769

0.769231

0.08642

0

0.1875

224

11

38

20.363636

0.89011

0

0.125

0

1

0

false

0

0.25

0

0.75

0

1

0

null

0

null

0

1

0

2

24908e5bcbccbb113c46014441ec08a078260d01

101

py

Python

001146StepikPyBegin/Stepik001146PyBeginсh07p03st11С07__20200421.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginсh07p03st11С07__20200421.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginсh07p03st11С07__20200421.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

n = int(input()) sum1 = 0 for i in range(1, n + 1): if n % i == 0: sum1 += i print(sum1)

14.428571

25

0.465347

20

101

2.35

0.6

0

0.106061

0.346535

101

6

26

16.833333

0.606061

0

1

0

false

0

0.166667

1

0

null

0

1

0

null

0

2

249527376fc3fc9354ce420e6f4ee3bce7d7d193

777

py

Python

main.py

luizcartolano2/reinforcement-learning-dqn-cart-pole

caca97554273afbd213c9e40c9ff2d68342c34e8

[ "MIT" ]

null

main.py

luizcartolano2/reinforcement-learning-dqn-cart-pole

caca97554273afbd213c9e40c9ff2d68342c34e8

[ "MIT" ]

null

main.py

luizcartolano2/reinforcement-learning-dqn-cart-pole

caca97554273afbd213c9e40c9ff2d68342c34e8

[ "MIT" ]

null

import os # first we need to download the libs try: os.system('pip3 install -r requirements.txt') except: print("Check your Python3 and Pip installations.") # import libs import gym import math import random import numpy as np import matplotlib import matplotlib.pyplot as plt # from collections import namedtuple from itertools import count from PIL import Image import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torchvision.transforms as T # create a gym env env = gym.make('CartPole-v0').unwrapped # set up matplotlib is_ipython = 'inline' in matplotlib.get_backend() if is_ipython: from IPython import display plt.ion() # check for a gpu device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

20.447368

69

0.772201

123

777

4.845528

0.593496

0.073826

0.043624

0

0.004573

0.155727

777

37

70

21

0.903963

0.169884

0

0.152038

0

1

0

false

0

0.625

0

0.625

0.041667

0

null

0

null

0

1

0

1

0

2

249852694970ead7821411859a291e0c0fde0a31

173

py

Python

src/typeDefs/wbes/schDataRow.py

nagasudhirpulla/wr_rtm_dem_corr_dashboard

d2b9bdd5c76fcec01537af36f86e1c06524a2169

[ "MIT" ]

null

src/typeDefs/wbes/schDataRow.py

nagasudhirpulla/wr_rtm_dem_corr_dashboard

d2b9bdd5c76fcec01537af36f86e1c06524a2169

[ "MIT" ]

null

src/typeDefs/wbes/schDataRow.py

nagasudhirpulla/wr_rtm_dem_corr_dashboard

d2b9bdd5c76fcec01537af36f86e1c06524a2169

[ "MIT" ]

null

import datetime as dt from typing import TypedDict class ISchDataRow(TypedDict): utilName: str schDate: dt.datetime block: int schType: str val: float

15.727273

29

0.705202

22

173

5.545455

0.772727

0

0.242775

173

10

30

17.3

0.931298

0

1

0

true

0

0.25

0

1

0

1

0

null

0

null

0

1

0

2

249d4d9ba8d9ee7a62b73cf1f1164631e3a4f0ef

614

py

Python

migrations/versions/0c2841d4cfcd_.py

perna/podigger

5aa1a507ec6d5d96b41cb43eceb820ebd8f21fa1

[ "MIT" ]

5

2016-08-02T22:37:57.000Z

2020-12-02T12:38:59.000Z

migrations/versions/0c2841d4cfcd_.py

perna/podigger

5aa1a507ec6d5d96b41cb43eceb820ebd8f21fa1

[ "MIT" ]

null

migrations/versions/0c2841d4cfcd_.py

perna/podigger

5aa1a507ec6d5d96b41cb43eceb820ebd8f21fa1

[ "MIT" ]

1

2016-07-07T02:15:54.000Z

"""empty message Revision ID: 0c2841d4cfcd Revises: 34d97cbc759e Create Date: 2016-07-28 20:19:00.866339 """ # revision identifiers, used by Alembic. revision = '0c2841d4cfcd' down_revision = '34d97cbc759e' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.add_column('user', sa.Column('password', sa.String(length=255), nullable=True)) ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_column('user', 'password') ### end Alembic commands ###

22.740741

86

0.69544

76

614

5.578947

0.605263

0.063679

0.099057

0.108491

0.207547

0

0.096078

0.169381

614

26

87

23.615385

0.735294

0.473941

0

0.165517

0

1

0.25

false

0.25

0

0.5

0

null

0

null

0

1

0

1

0

2

249efaee0334887980eabc7717092860ef177340

236

py

Python

Round 1/5.functionvariables/finishedLesson.py

beetlesoup/udemy-python-scripting-a-car

ae41491161821a8f4e63fc86c368a71bb3d6cc15

[ "Unlicense" ]

null

Round 1/5.functionvariables/finishedLesson.py

beetlesoup/udemy-python-scripting-a-car

ae41491161821a8f4e63fc86c368a71bb3d6cc15

[ "Unlicense" ]

null

Round 1/5.functionvariables/finishedLesson.py

beetlesoup/udemy-python-scripting-a-car

ae41491161821a8f4e63fc86c368a71bb3d6cc15

[ "Unlicense" ]

null

def MoveManyStepsForward(numberOfSteps): for everySingleNumberInTheRange in range(numberOfSteps): env.step(0) async def main(): MoveManyStepsForward(50) await sleep() MoveManyStepsForward(150)

29.5

61

0.682203

20

236

8.05

0.8

0

0.03352

0.241525

236

8

62

29.5

0.865922

0

1

0.142857

false

0

0.142857

0

1

0

null

0

1

0

null

0

2

24a412413e36803f77e81c6d8b52524ead3e34b3

142

py

Python

app/models/Base.py

krisnantobi/flask-python

d0da39d7c7f6e6d3b35def6e61c658ef279811e9

[ "MIT" ]

null

app/models/Base.py

krisnantobi/flask-python

d0da39d7c7f6e6d3b35def6e61c658ef279811e9

[ "MIT" ]

null

app/models/Base.py

krisnantobi/flask-python

d0da39d7c7f6e6d3b35def6e61c658ef279811e9

[ "MIT" ]

null

from mongoengine.document import Document class Base(Document): meta = { 'allow_inheritance': True, 'abstract': True }

23.666667

41

0.640845

14

142

6.428571

0.785714

0

0.260563

142

6

42

23.666667

0.857143

0

0.174825

0

1

0

false

0

0.166667

0

0.5

0

1

0

null

0

1

0

null

0

2

24a55eced86573e218221a3b3467c66df61d5a29

461

py

Python

django_workflow_system/api/tests/factories/workflows/workflow_image.py

eikonomega/django-workflow-system

dc0e8807263266713d3d7fa46e240e8d72db28d1

[ "MIT" ]

2

2022-01-28T12:35:42.000Z

2022-03-23T16:06:05.000Z

django_workflow_system/api/tests/factories/workflows/workflow_image.py

eikonomega/django-workflow-system

dc0e8807263266713d3d7fa46e240e8d72db28d1

[ "MIT" ]

10

2021-04-27T20:26:32.000Z

2021-07-21T15:34:31.000Z

django_workflow_system/api/tests/factories/workflows/workflow_image.py

eikonomega/django-workflow-system

dc0e8807263266713d3d7fa46e240e8d72db28d1

[ "MIT" ]

1

2021-11-13T14:30:34.000Z

import django_workflow_system.models as models from factory.django import DjangoModelFactory class WorkflowImageTypeFactory(DjangoModelFactory): class Meta: model = models.WorkflowImageType django_get_or_create = ["type"] class WorkflowImageFactory(DjangoModelFactory): class Meta: model = models.WorkflowImage django_get_or_create = ["image", "type"] __all__ = ["WorkflowImageTypeFactory", "WorkflowImageFactory"]

25.611111

62

0.752711

42

461

7.97619

0.52381

0.20597

0.161194

0.191045

0.226866

0

0.171367

461

17

63

27.117647

0.876963

0

0.181818

0

0.123644

0.052061

0

1

0

false

0

0.181818

0

0.545455

0

null

1

0

1

0

null

0

2

24a61d233f3e2d9fe257f8cc2aa8bb5e7883863c

4,095

py

Python

scratch/check_bins.py

AdriJD/cmb_sst_ksw

635f0627a3c8a36c743cdf8955e3671352ab6d90

[ "MIT" ]

null

scratch/check_bins.py

AdriJD/cmb_sst_ksw

635f0627a3c8a36c743cdf8955e3671352ab6d90

[ "MIT" ]

null

scratch/check_bins.py

AdriJD/cmb_sst_ksw

635f0627a3c8a36c743cdf8955e3671352ab6d90

[ "MIT" ]

null

''' Test binning ''' import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import sys import os import numpy as np from scipy.special import spherical_jn sys.path.insert(0,'./../') from sst import Fisher opj = os.path.join def bin_test(parity, bins=None, lmin=2, lmax=23): ''' Init bins, run over them and test them. ''' base_dir = '/mn/stornext/d8/ITA/spider/adri/analysis/20181025_sst/test/precomputed' F = Fisher(base_dir) F.init_bins(lmin=lmin, lmax=lmax, parity=parity, bins=bins) bins = F.bins['bins'] pint = 1 if parity == 'odd' else 0 if F.mpi_rank == 0: for i1, b1 in enumerate(bins): for i2, b2 in enumerate(bins[i1:]): i2 += i1 for i3, b3 in enumerate(bins[i2:]): i3 += i2 ell1, ell2, ell3 = F.bins['first_pass'][i1,i2,i3] num = F.bins['num_pass'][i1,i2,i3] try: if num == 0: assert (ell1, ell2, ell3) == (0,0,0) else: assert (ell1, ell2, ell3) != (0,0,0) if parity is not None: assert (ell1 + ell2 + ell3) % 2 == pint # check if first pass ells fit in bins assert ell1 >= b1 assert ell2 >= b2 assert ell3 >= b3 try: assert ell1 < bins[i1+1] except IndexError: if (i1 + 1) >= bins.size: pass else: raise try: assert ell2 < bins[i2+1] except IndexError: if (i2 + 1) >= bins.size: pass else: raise try: assert ell3 < bins[i3+1] except IndexError: if (i3 + 1) >= bins.size: pass else: raise # Check if first pass matches triangle cond. assert abs(ell1 - ell2) <= ell3 assert ell3 <= (ell1 + ell2) except: print 'error in bin:' print 'bin_idx: ({},{},{}), bin: ({},{},{}), no. gd_tuples: {}, '\ 'u_ell: ({},{},{})'.format(i1, i2, i3, b1, b2, b3, F.bins['num_pass'][i1,i2,i3], ell1, ell2, ell3) raise print 'bins: ', F.bins['bins'] print 'lmin: ', F.bins['lmin'] print 'lmax: ', F.bins['lmax'] print 'sum num_pass: ', np.sum(F.bins['num_pass']) print 'unique_ells: ', F.bins['unique_ells'] print 'num bins: ', F.bins['bins'].size print 'shape num_pass: ', F.bins['num_pass'].shape print 'shape first_pass: ', F.bins['first_pass'].shape, '\n' if __name__ == '__main__': lmin = 2 lmax = 40 for parity in ['even', 'odd', None]: print 'parity: {}, lmin: {}, lmax: {}'.format(parity, lmin, lmax) print 'default bins' bin_test(lmin=lmin, lmax=lmax, parity=parity, bins=None) print 'bins up to lmax' bin_test(lmin=None, lmax=lmax, parity=parity, bins=[2,3,4,10,lmax]) print 'bins over lmax' bin_test(lmin=None, lmax=lmax, parity=parity, bins=[2,3,4,10,lmax+12]) # if lmin and lmax of different binning schemes match, they # should have matching sum(num_pass)

37.227273

90

0.406349

431

4,095

3.784223

0.278422

0.036787

0.044145

0.04905

0.20233

0.188841

0.101778

0.063765

0

0.050824

0.481074

4,095

109

91

37.568807

0.716706

0.042002

0

0.216867

0

0.111371

0.018215

0

0.13253

0

null

0.108434

0.084337

null

0.168675

0

null

0

null

0

1

0

1

0

2

24b1f9ec5f919bdb1ef1f683673501508c9b17c1

553

py

Python

benchmarks/query_benchmarks/query_dates/benchmark.py

deepakdinesh1123/actions

859455c8582f6e3fc4d65b7266163f4276d04127

[ "MIT" ]

null

benchmarks/query_benchmarks/query_dates/benchmark.py

deepakdinesh1123/actions

859455c8582f6e3fc4d65b7266163f4276d04127

[ "MIT" ]

null

benchmarks/query_benchmarks/query_dates/benchmark.py

deepakdinesh1123/actions

859455c8582f6e3fc4d65b7266163f4276d04127

[ "MIT" ]

null

from ...utils import bench_setup from .models import Book class QueryDates: def setup(self): bench_setup(migrate=True) def time_query_dates(self): list(Book.objects.dates("created_date", "year", "ASC")) list(Book.objects.dates("created_date", "year", "DESC")) list(Book.objects.dates("created_date", "month", "ASC")) list(Book.objects.dates("created_date", "month", "DESC")) list(Book.objects.dates("created_date", "day", "ASC")) list(Book.objects.dates("created_date", "day", "DESC"))

34.5625

65

0.641953

71

553

4.859155

0.352113

0.13913

0.26087

0.347826

0.657971

0

0.180832

553

15

66

36.866667

0.761589

0

0.211573

0

1

0.166667

false

0

0.166667

0

0.416667

0

null

0

1

0

null

0

2

24b94c38a11e9ef06d09ee6865284e5b1344c0b6

549

py

Python

rldb/db/repo__openai_baselines_cbd21ef/algo__acer/entries.py

seungjaeryanlee/sotarl

8c471c4666d6210c68f3cb468e439a2b168c785d

[ "MIT" ]

45

2019-05-13T17:39:33.000Z

2022-03-07T23:44:13.000Z

rldb/db/repo__openai_baselines_cbd21ef/algo__acer/entries.py

seungjaeryanlee/sotarl

8c471c4666d6210c68f3cb468e439a2b168c785d

[ "MIT" ]

2

2019-03-29T01:41:59.000Z

2019-07-02T02:48:31.000Z

rldb/db/repo__openai_baselines_cbd21ef/algo__acer/entries.py

seungjaeryanlee/sotarl

8c471c4666d6210c68f3cb468e439a2b168c785d

[ "MIT" ]

2

2020-04-07T20:57:30.000Z

2020-07-08T12:55:15.000Z

entries = [ { 'env-title': 'atari-enduro', 'score': 0.0, }, { 'env-title': 'atari-space-invaders', 'score': 656.91, }, { 'env-title': 'atari-qbert', 'score': 6433.38, }, { 'env-title': 'atari-seaquest', 'score': 1065.98, }, { 'env-title': 'atari-pong', 'score': 3.11, }, { 'env-title': 'atari-beam-rider', 'score': 1959.22, }, { 'env-title': 'atari-breakout', 'score': 82.94, }, ]

17.709677

44

0.397086

52

549

4.192308

0.519231

0.256881

0.417431

0

0.095522

0.3898

549

30

45

18.3

0.555224

0

0.355191

0

1

0

false

0

null

1

0

null

0

2

24d41ebe163f7fd9334bbc86f8d90c7387ddcfee

447

py

Python

setup.py

mathieumast/cellspatialite

f429e3958b5583b4a8c448fd07a61ab29aa7cb65

[ "MIT" ]

null

setup.py

mathieumast/cellspatialite

f429e3958b5583b4a8c448fd07a61ab29aa7cb65

[ "MIT" ]

null

setup.py

mathieumast/cellspatialite

f429e3958b5583b4a8c448fd07a61ab29aa7cb65

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup, find_packages setup( name='cellspatialite', version='1.0.0', packages=['cellspatialite', 'cellspatialite.test'], author='Mathieu', description='cellspatialite', install_requires= ['pysqlite', 'pandas', 'docopt'], license='MIT', entry_points = { 'console_scripts': [ 'cellspatialite = cellspatialite.cellspatialite:main', ], }, )

23.526316

66

0.63311

40

447

6.975

0.775

0.301075

0

0.008547

0.214765

447

19

67

23.526316

0.786325

0.044743

0

0.379391

0.079625

0

1

0

true

0

0.066667

0

0.066667

0

null

1

0

null

0

1

0

2

24da0999df55443bb1d82163487afe3007901943

485

py

Python

Chapter23.ModuleCodingBasics/use_module2.py

mindnhand/Learning-Python-5th

3dc1b28d6e048d512bf851de6c7f6445edfe7b84

[ "MIT" ]

null

Chapter23.ModuleCodingBasics/use_module2.py

mindnhand/Learning-Python-5th

3dc1b28d6e048d512bf851de6c7f6445edfe7b84

[ "MIT" ]

null

Chapter23.ModuleCodingBasics/use_module2.py

mindnhand/Learning-Python-5th

3dc1b28d6e048d512bf851de6c7f6445edfe7b84

[ "MIT" ]

null

#!/usr/bin/env python3 #encoding=utf-8 #------------------------------------------------------ # Usage: python3 use_module2.py # Description: module basic #------------------------------------------------------ import module2 print(module2.sys) print(module2.name) print(module2.klass) print('The dict of module2 is: ') print(list(module2.__dict__.keys())) print('The dict of module2 without __xxx__ is: ') print([x for x in module2.__dict__.keys() if not x.startswith('__')])

21.086957

69

0.562887

57

485

4.526316

0.578947

0.139535

0.093023

0.108527

0.162791

0

0.027523

0.101031

485

22

70

22.045455

0.56422

0.410309

0

0.235714

0

1

0

true

0

0.125

0

0.125

0.875

0

null

0

null

0

1

0

1

0

2

24e402299b9f6f621706cdbd330f1ca54378a165

196

py

Python

src/directory_model.py

cmtools/fastapi-cli

d926317d5032b970187f77ff76bdc4ba4780a4d7

[ "MIT" ]

null

src/directory_model.py

cmtools/fastapi-cli

d926317d5032b970187f77ff76bdc4ba4780a4d7

[ "MIT" ]

null

src/directory_model.py

cmtools/fastapi-cli

d926317d5032b970187f77ff76bdc4ba4780a4d7

[ "MIT" ]

null

import typing as t from file_model import File class Dir: path: str files: t.List[File] = [] def __init__(self, path, files=[]): self.path = path self.files = files

16.333333

39

0.602041

28

196

4.035714

0.571429

0.141593

0

0.290816

196

11

40

17.818182

0.81295

0

1

0.125

false

0

0.25

0

0.75

0

1

0

null

0

null

0

1

0

2

24e5758008f608aff796ffcbe193129bea1fb776

373

py

Python

common/models.py

AsfanUlla/pi-backend

ee1fed18bff9881e341c1022584f9323d2a7561d

[ "Apache-2.0" ]

null

common/models.py

AsfanUlla/pi-backend

ee1fed18bff9881e341c1022584f9323d2a7561d

[ "Apache-2.0" ]

null

common/models.py

AsfanUlla/pi-backend

ee1fed18bff9881e341c1022584f9323d2a7561d

[ "Apache-2.0" ]

null

from pydantic import BaseModel, Field, EmailStr from typing import Optional, List, Dict, Any class SchemalessResponse(BaseModel): data: Dict = {} status_code: int = 200 message: Optional[str] = "Request Processed" class EmailSchema(BaseModel): sub: str email_to: List[EmailStr] body: Dict[str, Any] template_name: str = 'default_email.html'

23.3125

48

0.707775

46

373

5.652174

0.673913

0

0.01

0.19571

373

15

49

24.866667

0.856667

0

0.093834

0

1

0

true

0

0.181818

0

1

0

null

0

null

0

1

0

1

0

2

24f79fbbf13f5128ab64a47960256c2400746ede

1,662

py

Python

test/test_mod_import.py

kpagacz/NMDownloader

670652949b538319ee945071e030119e630ec6a1

[ "MIT" ]

null

test/test_mod_import.py

kpagacz/NMDownloader

670652949b538319ee945071e030119e630ec6a1

[ "MIT" ]

20

2019-03-16T14:42:54.000Z

2019-04-10T19:40:41.000Z

test/test_mod_import.py

kpagacz/NMDownloader

670652949b538319ee945071e030119e630ec6a1

[ "MIT" ]

null

import unittest import utils.mod_import as mod_import import codecov class ModListImporterTestCase(unittest.TestCase): def setUp(self): self.importer = mod_import.ModListImporter() self.csv_header = "modids,names\n" self.csv_values = ["1,abc\n" "2,def\n"] def testModListDefaultValue(self): self.assertEqual(self.importer.mod_list, [], msg="Default value of mod_list is not []") def testModListSetter(self): self.importer.mod_list = [1, 2, 3] self.assertEqual(self.importer._mod_list, [1, 2, 3], msg="Setter method did not assign [1, 2, 3] to mod_list") def testModListGetter(self): self.importer.mod_list = [1, 2] self.assertEqual([1, 2], self.importer.mod_list, msg="mod_list getter failed to output correctly") def testImportFromCSVWithHeader(self): cls = self.importer.from_csv("test/testModImporterFromCSV.csv") self.assertIsInstance(cls, mod_import.ModListImporter) self.assertEqual([1, 2], cls.mod_list, msg="ModImporter succesfully created, but mod_list is incorrect.") def testImportFromExcel(self): cls = self.importer.from_excel("test/testModImporterFromExcel.xlsx") self.assertIsInstance(cls, mod_import.ModListImporter) self.assertEqual([1, 2], cls.mod_list, msg="ModImporter succesfully created, but mod_list is incorrect.")

36.933333

91

0.587244

178

1,662

5.365169

0.337079

0.087958

0.094241

0.099476

0.468063

0.393717

0.342408

0.265969

0

0.016711

0.315884

1,662

44

92

37.772727

0.822339

0

0.257143

0

0.203492

0.039133

0

0.2

0

null

0

0.514286

null

0

null

0

null

0

1

0

1

0

2

702548bde2333d9384784f1f3e19f50c90d86bf5

598

py

Python

src/web/modules/dataservice/control.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

2

2017-04-30T07:29:23.000Z

2017-04-30T07:36:27.000Z

src/web/modules/dataservice/control.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

null

src/web/modules/dataservice/control.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

null

def get(p): if not p['operation']: from .controllers import default return default.get(p) elif p["operation"] == "json": from .controllers import json return json.get(p) elif p["operation"] == "create": from .controllers import create return create.get(p) elif p["operation"] == "delete": from .controllers import delete return delete.get(p) elif p["operation"] == "edit": from .controllers import edit return edit.get(p) return "dataservice/control" def authorize(p): return True

20.62069

40

0.591973

71

598

4.985915

0.28169

0.067797

0.29661

0.101695

0.20339

0

0.29097

598

28

41

21.357143

0.834906

0

0.140704

0

1

0.105263

false

0

0.263158

0.052632

0.736842

0

null

0

1

0

null

0

1

0

2

702d62784e667462f72d3df18eda609962caca05

2,065

py

Python

loans/urls.py

FAenX/micro-finance

27bfd3f716365ecac22d0139f8f5bcda974498e3

[ "MIT" ]

null

loans/urls.py

FAenX/micro-finance

27bfd3f716365ecac22d0139f8f5bcda974498e3

[ "MIT" ]

5

2021-06-08T23:59:29.000Z

2022-03-12T00:58:17.000Z

loans/urls.py

FAenX/micro-finance

27bfd3f716365ecac22d0139f8f5bcda974498e3

[ "MIT" ]

null

from django.conf.urls import url from loans.views import * urlpatterns = [ # Client Loans (apply, view, list) url(r'^client/(?P<client_id>\d+)/loan/apply/$', ClientLoanApplicationView.as_view(), name='clientloanapplication'), url(r'^client/(?P<client_id>\d+)/loans/list/$', ClientLoansListView.as_view(), name="clientloanaccountslist"), url(r'^client/loan/(?P<pk>\d+)/view/$', ClientLoanAccount.as_view(), name='clientloanaccount'), url(r'^client/(?P<client_id>\d+)/loan/(?P<loanaccount_id>\d+)/deposits/list/$', ClientLoanDepositsListView.as_view(), name='listofclientloandeposits'), # Client Loans - Ledger (view, CSV, Excel, PDF downloads) url(r'^client/(?P<client_id>\d+)/loan/(?P<loanaccount_id>\d+)/ledger/$', ClientLoanLedgerView.as_view(), name="clientloanledgeraccount"), url(r'^client/(?P<client_id>\d+)/loan/(?P<loanaccount_id>\d+)/ledger/download/csv/$', ClientLedgerCSVDownload.as_view(), name="clientledgercsvdownload"), url(r'^client/(?P<client_id>\d+)/loan/(?P<loanaccount_id>\d+)/ledger/download/excel/$', ClientLedgerExcelDownload.as_view(), name="clientledgerexceldownload"), url(r'^client/(?P<client_id>\d+)/loan/(?P<loanaccount_id>\d+)/ledger/download/pdf/$', ClientLedgerPDFDownload.as_view(), name="clientledgerpdfdownload"), # Group Loans (apply, view, list) url(r'^group/(?P<group_id>\d+)/loan/apply/$', GroupLoanApplicationView.as_view(), name='grouploanapplication'), url(r'^group/(?P<group_id>\d+)/loans/list/$', GroupLoansListView.as_view(), name="grouploanaccountslist"), url(r'^group/loan/(?P<pk>\d+)/view/$', GroupLoanAccount.as_view(), name='grouploanaccount'), url(r'^group/(?P<group_id>\d+)/loan/(?P<loanaccount_id>\d+)/deposits/list/$', GroupLoanDepositsListView.as_view(), name='viewgrouploandeposits'), # Change Loan Account Status url(r'^loan/(?P<pk>\d+)/change-status/$', ChangeLoanAccountStatus.as_view(), name='change_loan_account_status'), # Issue Loan url(r'^loan/(?P<loanaccount_id>\d+)/issue/$', IssueLoan.as_view(), name='issueloan'), ]

71.206897

163

0.7046

262

2,065

5.423664

0.209924

0.03589

0.098522

0.054187

0.328642

0.298381

0.273047

0.246305

0.203378

0.171006

0

0.079903

2,065

28

164

73.75

0.747895

0.076513

0

0.277778

0.531825

0.499211

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

1

null

0

2

702f40b28d19c269453798fcbb0e966ac84fe386

492

py

Python

zinnia/views/channels.py

zapier/django-blog-zinnia

2631cbe05fa7b95aecd172fe34b7081ca4beda47

[ "BSD-3-Clause" ]

null

zinnia/views/channels.py

zapier/django-blog-zinnia

2631cbe05fa7b95aecd172fe34b7081ca4beda47

[ "BSD-3-Clause" ]

1

2021-09-08T12:32:28.000Z

zinnia/views/channels.py

isabella232/django-blog-zinnia

2631cbe05fa7b95aecd172fe34b7081ca4beda47

[ "BSD-3-Clause" ]

1

2021-09-08T10:28:36.000Z

"""Views for Zinnia channels""" from django.views.generic.list import ListView from zinnia.models.entry import Entry from zinnia.settings import PAGINATION class EntryChannel(ListView): """View for displaying a custom selection of entries based on a search pattern, useful for SEO/SMO pages""" query = '' paginate_by = PAGINATION def get_queryset(self): """Override the get_queryset method to do the search""" return Entry.published.search(self.query)

28.941176

63

0.727642

66

492

5.378788

0.681818

0.056338

0

0.189024

492

16

64

30.75

0.889724

0.359756

0

1

0.125

false

0

0.375

0

1

0

null

0

null

0

1

0

1

0

2

7079d592d3692099180dbebc7dd4c79d080683a6

67,931

py

Python

pysnmp-with-texts/CISCO-IMAGE-UPGRADE-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/CISCO-IMAGE-UPGRADE-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/CISCO-IMAGE-UPGRADE-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 CISCO-IMAGE-UPGRADE-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-IMAGE-UPGRADE-MIB # Produced by pysmi-0.3.4 at Wed May 1 12:01:48 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") ValueRangeConstraint, ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsUnion") ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt") EntPhysicalIndexOrZero, = mibBuilder.importSymbols("CISCO-TC", "EntPhysicalIndexOrZero") entPhysicalIndex, = mibBuilder.importSymbols("ENTITY-MIB", "entPhysicalIndex") SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString") ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup") MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, Unsigned32, Integer32, iso, Counter64, ModuleIdentity, ObjectIdentity, Gauge32, IpAddress, MibIdentifier, Counter32, Bits, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "Unsigned32", "Integer32", "iso", "Counter64", "ModuleIdentity", "ObjectIdentity", "Gauge32", "IpAddress", "MibIdentifier", "Counter32", "Bits", "NotificationType") RowStatus, DisplayString, TimeStamp, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "DisplayString", "TimeStamp", "TextualConvention", "TruthValue") ciscoImageUpgradeMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 360)) ciscoImageUpgradeMIB.setRevisions(('2011-03-28 00:00', '2008-03-18 00:00', '2007-07-18 00:00', '2006-12-21 00:00', '2004-01-20 00:00', '2003-11-04 00:00', '2003-10-28 00:00', '2003-07-11 00:00', '2003-07-08 00:00', '2003-06-01 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: ciscoImageUpgradeMIB.setRevisionsDescriptions(("Added new group ciuUpgradeOpNewGroup. Added new enum 'systemPreupgradeBegin' to ciuUpgradeOpStatusOperation. Added ciuUpgradeOpLastCommand and ciuUpgradeOpLastStatus to the varbind list of ciuUpgradeOpCompletionNotify. Added new compliance ciuImageUpgradeComplianceRev4 and deprecated ciuImageUpgradeComplianceRev3. Added ciuUpgradeJobStatusNotifyOnCompletion.", "Added new enum 'compactFlashTcamSanity' to ciuUpgradeOpStatusOperation.", 'Added new enums to ciuUpgradeOpStatusOperation.', 'Added new enums to ciuUpgradeOpStatus and ciuUpgradeOpStatusOperation. Added new trap ciuUpgradeJobStatusNotify. Changed type for ciuUpgradeOpStatusModule to EntPhysicalIndexOrZero. Added ciuUpgradeNotificationGroupSup group, deprecated ciuImageUpgradeComplianceRev2 and added ciuImageUpgradeComplianceRev3 ', "Added new enums to ciuUpgradeOpStatus and ciuUpgradeOpStatusOperation. Corrected description for 'configSync' enum defined in ciuUpgradeOpStatusOperation object. ", 'Updated compliance statement. Removed ciuImageLocInputGroup from conditionally mandatory.', 'Added ciuUpgradeMiscInfoTable. Added more enums to ciuUpgradeOpStatusOperation. Added ciuUpgradeMiscInfoGroup, deprecated ciuImageUpgradeComplianceRev1 and added ciuImageUpgradeComplianceRev2.', 'Changed: ciuImageLocInputURI identifier from 2 to 1, ciuImageLocInputEntryStatus identifier from 3 to 2 and ciuImageVariableName from 2 to 1. Added recommendedAction to ciuUpgradeOpStatusOperation.', 'Added ciscoImageUpgradeMisc, added ciuUpgradeMiscAutoCopy under the group ciscoImageUpgradeMisc. Added ciuUpgradeMiscGroup, deprecated ciuImageUpgradeCompliance and added ciuImageUpgradeComplianceReve1.', 'Initial version of this MIB module.',)) if mibBuilder.loadTexts: ciscoImageUpgradeMIB.setLastUpdated('201103280000Z') if mibBuilder.loadTexts: ciscoImageUpgradeMIB.setOrganization('Cisco Systems Inc.') if mibBuilder.loadTexts: ciscoImageUpgradeMIB.setContactInfo(' Cisco Systems Customer Service Postal: 170 W Tasman Drive San Jose, CA 95134 USA Tel: +1 800 553 -NETS E-mail: cs-san@cisco.com') if mibBuilder.loadTexts: ciscoImageUpgradeMIB.setDescription("This mib provides, objects to upgrade images on modules in the system, objects showing the status of the upgrade operation, and objects showing the type of images that could be run in the system. For example the modules could be Controller card, Line card .. etc. The system fills up the ciuImageVariableTable with the type of images the system can support. For performing an upgrade operation a management application must first read this table and use this info in other tables, as explained below. The ciuImageURITable table is also filled by the system and provides the image name presently running for each type of image in the system. The user is allowed to configure a new image name for each image type as listed in ciuImageVariableTable. The system would use this image on the particular module on the next reboot. The management application on deciding to do an upgrade operation must first check if an upgrade operation is already in progress in the system. This is done by reading the ciuUpgradeOpCommand and if it contains 'none', signifies that no other upgrade operation is in progress. Any other value, signifies that upgrade is in progress and a new upgrade operation is not allowed. To start an 'install' operation, first the user must perform a 'check' operation to do the version compatibility for the given set of image files (provided using the ciuImageLocInputTable) against the current system configuration. Only if the result of this operation is 'success' can the user proceed to do an install operation. The tables, ciuVersionCompChkTable, ciuUpgradeImageVersionTable, ciuUpgradeOpStatusTable, provide the result of the 'check' or 'install' operation performed using ciuUpgradeOpCommand. These tables are in addition to objects ciuUpgradeOpStatus, ciuUpgradeOpTimeStarted, ciuUpgradeOpTimeCompleted, ciuUpgradeOpStatusReason. The ciuUpgradeOpStatus object provides the status of the selected upgrade operation. An option is available for user to upgrade only some modules, provided using ciuUpgradeTargetTable. If this table is empty than an upgrade operation would be performed on all the modules in the system.") ciscoImageUpgradeMIBNotifs = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 0)) ciscoImageUpgradeMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 1)) ciscoImageUpgradeMIBConform = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 2)) ciscoImageUpgradeConfig = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1)) ciscoImageUpgradeOp = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4)) ciscoImageUpgradeMisc = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 10)) class CiuImageVariableTypeName(TextualConvention, OctetString): description = "The type of image that the system can run. e.g. Let us say that the device has 3 image variables names - 'system', 'kickstart' and 'ilce'. This TC would, then be as follows: system kickstart ilce. " status = 'current' subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(1, 32) ciuTotalImageVariables = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 1), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuTotalImageVariables.setStatus('current') if mibBuilder.loadTexts: ciuTotalImageVariables.setDescription('Total number of image variables supported in the device at this time.') ciuImageVariableTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 2), ) if mibBuilder.loadTexts: ciuImageVariableTable.setStatus('current') if mibBuilder.loadTexts: ciuImageVariableTable.setDescription('A table listing the image variable types that exist in the device. ') ciuImageVariableEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 2, 1), ).setIndexNames((0, "CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableName")) if mibBuilder.loadTexts: ciuImageVariableEntry.setStatus('current') if mibBuilder.loadTexts: ciuImageVariableEntry.setDescription('A ciuImageVariableEntry entry. Each entry provides the image variable type existing in the device. ') ciuImageVariableName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 2, 1, 1), CiuImageVariableTypeName()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuImageVariableName.setStatus('current') if mibBuilder.loadTexts: ciuImageVariableName.setDescription("The type of image that the system can run. The value of this object depends on the underlying agent. e.g. Let us say that the device has 3 image variables names - 'system', 'kickstart' and 'ilce'. This table , then will list these 3 strings as entries such as follows: ciuImageVariableName system kickstart ilce The user can assign images (using ciuImageURITable) to these variables and the system will use the assigned values to boot. ") ciuImageURITable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 3), ) if mibBuilder.loadTexts: ciuImageURITable.setStatus('current') if mibBuilder.loadTexts: ciuImageURITable.setDescription("A table listing the Universal Resource Identifier(URI) of images that are assigned to variables of the ciuImageVariableTable. In the example for ciuImageVariableTable, there are 3 image types. This table will list the names for those image types as follows - entPhysicalIndex ciuImageVariableName ciuImageURI 25 'system' m9200-ek9-mgz.1.0.bin 25 'kickstart' boot-1.0.bin 26 'ilce' linecard-1.0.bin In this example, the 'system' image name is 'm9200-ek9-mgz.1.0.bin', the 'ilce' image name is 'linecard-1.0.bin' and the 'kickstart' image name is 'boot-1.0.bin'. ") ciuImageURIEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 3, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex"), (0, "CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableName")) if mibBuilder.loadTexts: ciuImageURIEntry.setStatus('current') if mibBuilder.loadTexts: ciuImageURIEntry.setDescription('A ciuImageURITable entry. Each entry provides the Image URI corresponding to this image variable name, identified by ciuImageVariableName, on this module identified by entPhysicalIndex. Each such module of the type PhysicalClass module(9), has an entry in entPhysicalTable in ENTITY-MIB, where that entry is identified by entPhysicalIndex. Only modules capable of running images, identified by ciuImageVariableName would have an entry in this table. ') ciuImageURI = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 3, 1, 1), SnmpAdminString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuImageURI.setStatus('current') if mibBuilder.loadTexts: ciuImageURI.setDescription('This object contains the string value of the image corresponding to ciuImageVariableName on this entity.') ciuUpgradeOpCommand = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 1), ("done", 2), ("install", 3), ("check", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuUpgradeOpCommand.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpCommand.setDescription("The command to be executed. Note that it is possible for a system to support only a subset of these commands. If a command is unsupported, it will complete immediatly with the 'invalidOperation' error being reported in the ciuUpgradeOpStatus object. The 'check' must be performed first before 'install' command can be executed. If 'install' is performed first the operation would fail. So 'install' will be allowed only if a read of this object returns 'check' and the value of object ciuUpgradeOpStatus is 'success'. Also 'check' will be allowed only if a read of this object returns 'none'. Command Remarks none if this object is read without performing any operation listed above, 'none' would be returned. Also 'none' would be returned for a read operation if a cleanup of the previous upgrade operation is completed either through the issue of 'done' command or the maximum timeout of 5 minutes is elapsed. Setting this object to 'none', agent would return a success without any upgrade operation being performed. done if this object returns any value other than 'none', then setting this to 'done' would do the required cleanup of previous upgrade operation and make the system ready for any new upgrade operation. This is needed because the system maintains the status of the previous upgrade operation for a maximum time of 5 minutes before it does the cleanup. During this period no new upgrade operation is allowed. install for all the physical entities listed in the ciuUpgradeTargetTable perform the required upgrade operation listed in that table. However the upgrade operation for a module would not be done if the current running image and the image to be upgraded given as an input through the ciuImageLocInputTable are the same. check check the version compatibility for the given set of image files against the current system configuration. ") ciuUpgradeOpStatus = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("none", 1), ("invalidOperation", 2), ("failure", 3), ("inProgress", 4), ("success", 5), ("abortInProgress", 6), ("abortSuccess", 7), ("abortFailed", 8), ("successReset", 9), ("fsUpgReset", 10))).clone('none')).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatus.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatus.setDescription('The status of the specified operation. none(1) - no operation was performed. invalidOperation(2) - the selected operation is not supported. failure(3) - the selected operation has failed. inProgress(4) - specified operation is active. success(5) - specified operation has completed successfully. abortInProgress(6) - abort in progress. abortSuccess(7) - abort operation successful. abortFailed(8) - abort failed. successReset(9) - specified operation has completed successfully and the system will reset. fsUpgReset(10) - fabric switch upgrade reset.') ciuUpgradeOpNotifyOnCompletion = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 3), TruthValue().clone('false')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuUpgradeOpNotifyOnCompletion.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpNotifyOnCompletion.setDescription("Specifies whether or not a notification should be generated on the completion of an operation. If 'true', ciuUpgradeOpCompletionNotify will be generated, else if 'false' it would not be. It is the responsibility of the management entity to ensure that the SNMP administrative model is configured in such a way as to allow the notification to be delivered. This object can only be modified alongwith ciuUpgradeOpCommand object.This object returns default value when ciuUpgradeOpCommand object contains 'none'. To SET this object a multivarbind set containing this object and ciuUpgradeOpCommand must be done in the same PDU for the operation to succeed.") ciuUpgradeOpTimeStarted = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 4), TimeStamp()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpTimeStarted.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpTimeStarted.setDescription("Specifies the time the upgrade operation was started. This object would return 0 if ciuUpgradeOpCommand contains 'none'.") ciuUpgradeOpTimeCompleted = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 5), TimeStamp()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpTimeCompleted.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpTimeCompleted.setDescription("Specifies the time the upgrade operation completed. This object would return 0 if ciuUpgradeOpCommand contains 'none'. ") ciuUpgradeOpAbort = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 6), TruthValue().clone('false')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuUpgradeOpAbort.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpAbort.setDescription("Provides the means to abort an operation. If this object is set to 'true' when an upgrade operation is in progress and the corresponding instance of ciuUpgradeOpCommand has the value 'install' or 'check', then the operation will be aborted. Setting this object to 'true' when ciuUpgradeOpCommand has a different value other than 'install' or 'check' will fail. If retrieved, this object always has the value 'false'. ") ciuUpgradeOpStatusReason = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 7), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusReason.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusReason.setDescription("Specifies the description of the cause of 'failed' state of the object 'ciuUpgradeOpStatus'. This object would be a null string if value of 'ciuUpgradeOpStatus' is anything other than 'failure'.") ciuUpgradeOpLastCommand = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 1), ("done", 2), ("install", 3), ("check", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpLastCommand.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpLastCommand.setDescription("This object indicates previous OpCommand value. It will be updated after new OpCommand is set and delivered to upgrade process. 'none' if this object is read without performing any operation listed above, 'none' would be returned. Also 'none' would be returned for a read operation if a cleanup of the previous upgrade operation is completed either through the issue of 'done' command or the maximum timeout of 5 minutes is elapsed. Setting this object to 'none', agent would return a success without any upgrade operation being performed. 'done' if this object returns any value other than 'none', then setting this to 'done' would do the required cleanup of previous upgrade operation and make the system ready for any new upgrade operation. This is needed because the system maintains the status of the previous upgrade operation for a maximum time of 5 minutes before it does the cleanup. During this period no new upgrade operation is allowed. 'install' perform the required upgrade operation listed in ciuUpgradeTargetTable table. However the upgrade operation for a module would not be done if the current running image and the image to be upgraded given as an input through the ciuImageLocInputTable are the same. 'check' check the version compatibility for the given set of image files against the current system configuration.") ciuUpgradeOpLastStatus = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("none", 1), ("invalidOperation", 2), ("failure", 3), ("inProgress", 4), ("success", 5), ("abortInProgress", 6), ("abortSuccess", 7), ("abortFailed", 8), ("successReset", 9), ("fsUpgReset", 10)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpLastStatus.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpLastStatus.setDescription("This object indicates previous OpStatus value. It will be updated after new OpCommand is set and delivered to upgrade process. 'none' - no operation was performed. 'invalidOperation' - the selected operation is not supported. 'failure' - the selected operation has failed. 'inProgress' - specified operation is active. 'success' - specified operation has completed successfully. 'abortInProgress' - abort in progress. 'abortSuccess' - abort operation successful. 'abortFailed' - abort failed. 'successReset' - specified operation has completed successfully and the system will reset. 'fsUpgReset' - fabric switch upgrade reset.") ciuUpgradeOpLastStatusReason = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 10), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpLastStatusReason.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpLastStatusReason.setDescription('This object indicates the previous OpStatusReason value. It will be updated after new OpCommand is set and delivered to upgrade process.') ciuUpgradeJobStatusNotifyOnCompletion = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 4, 11), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuUpgradeJobStatusNotifyOnCompletion.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeJobStatusNotifyOnCompletion.setDescription("This object specifies whether or not ciuUpgradeJobStatusCompletionNotify notification should be generated on the completion of an operation. If 'true', ciuUpgradeJobStatusCompletionNotify will be generated, else if 'false' it would not be.") ciuUpgradeTargetTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 5), ) if mibBuilder.loadTexts: ciuUpgradeTargetTable.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeTargetTable.setDescription('A table listing the modules and the type of upgrade operation to be performed on these modules. ') ciuUpgradeTargetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 5, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex")) if mibBuilder.loadTexts: ciuUpgradeTargetEntry.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeTargetEntry.setDescription("Each entry provides the module that needs to be upgraded and the type of operation that needs to be performed on this module. The upgrade operation, selected using the object 'ciuUpgradeOpCommand', would be performed on each and every module represented by an entry in this table. Each such module of the type PhysicalClass module(9), has an entry in entPhysicalTable in ENTITY-MIB, where that entry is identified by entPhysicalIndex. Only modules capable of running images, identified by ciuImageVariableName would have an entry in this table. This table cannot be modified when ciuUpgradeOpCommand object contains value other than 'none'. ") ciuUpgradeTargetAction = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("image", 1), ("bios", 2), ("loader", 3), ("bootrom", 4)))).setMaxAccess("readcreate") if mibBuilder.loadTexts: ciuUpgradeTargetAction.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeTargetAction.setDescription("The type of operation to be performed on this module. image - upgrade image. bios - upgrade bios. loader - upgrade loader.loader is the program that loads and starts the operating system bootrom - upgrade boot rom This object cannot be modified while the corresponding value of ciuUpgradeTargetEntryStatus is equal to 'active'. It is okay to support only a subset of the enums defined above. ") ciuUpgradeTargetEntryStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 5, 1, 2), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: ciuUpgradeTargetEntryStatus.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeTargetEntryStatus.setDescription('The status of this table entry. A multivarbind set containing this object and ciuUpgradeTargetAction must be done in the same PDU for the operation to succeed. ') ciuImageLocInputTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 6), ) if mibBuilder.loadTexts: ciuImageLocInputTable.setStatus('current') if mibBuilder.loadTexts: ciuImageLocInputTable.setDescription('A table listing the URI of the images that need to be upgraded. ') ciuImageLocInputEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 6, 1), ).setIndexNames((0, "CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableName")) if mibBuilder.loadTexts: ciuImageLocInputEntry.setStatus('current') if mibBuilder.loadTexts: ciuImageLocInputEntry.setDescription("Each entry provides the image location URI that need to be upgraded. This table cannot be modified if ciuUpgradeOpCommand object contains any value other than 'none' ") ciuImageLocInputURI = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 6, 1, 1), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 255))).setMaxAccess("readcreate") if mibBuilder.loadTexts: ciuImageLocInputURI.setStatus('current') if mibBuilder.loadTexts: ciuImageLocInputURI.setDescription("An ASCII string specifying the system image location. For example the string could be 'bootflash:file1'. This object cannot be modified while the corresponding value of ciuImageLocInputEntryStatus is equal to 'active'. ") ciuImageLocInputEntryStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 6, 1, 2), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: ciuImageLocInputEntryStatus.setStatus('current') if mibBuilder.loadTexts: ciuImageLocInputEntryStatus.setDescription('The status of this table entry. ') ciuVersionCompChkTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7), ) if mibBuilder.loadTexts: ciuVersionCompChkTable.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompChkTable.setDescription("A table showing the result of the version compatibility check operation performed in response to the option 'check' selected for ciuUpgradeOpCommand. The table would be emptied out once the value of ciuUpgradeOpCommand object is 'none'. ") ciuVersionCompChkEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex")) if mibBuilder.loadTexts: ciuVersionCompChkEntry.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompChkEntry.setDescription('An entry containing the results of the version compatibility check operation performed on each module, identified by entPhysicalIndex. Each such module of the type PhysicalClass module(9), has an entry in entPhysicalTable in ENTITY-MIB, where that entry is identified by entPhysicalIndex. Only modules capable of running images, identified by ciuImageVariableName would have an entry in this table. ') ciuVersionCompImageSame = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 1), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompImageSame.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompImageSame.setDescription(' Specifies whether for this module the image provided by the user for upgrade is same as the current running image. ') ciuVersionCompUpgradable = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 2), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradable.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradable.setDescription(" Specifies whether the set of images provided in ciuImageLocInputTable are compatible with each other as far as this module is concerned. If 'true' the set of images provided are compatible and can be run on this module else they are not compatible. This module would not come up if it is booted with a uncompatible set of image. ") ciuVersionCompUpgradeAction = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("none", 1), ("other", 2), ("rollingUpgrade", 3), ("switchOverReset", 4), ("reset", 5), ("copy", 6), ("notApplicable", 7), ("plugin", 8)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeAction.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeAction.setDescription(" Specifies the type of upgrade action that would be performed on this module if ciuUpgradeOpCommand were set to 'install' or to 'check'. none(1) : is no upgrade action. other(2) : actions other than defined here rollingUpgrade(3) : modules would be upgraded one at a time. switchOverReset(4): all the modules would be reset after a switchover happens at the same time. reset(5) : all the modules would be reset without or before a switchover. copy(6) : then image upgrade would not be done, but only bios/loader/bootrom would be updated and will take effect on next reload. notApplicable(7) : upgrade action is not possible because image is not upgradable. plugin(8) : upgrading plugin only instead of full image.") ciuVersionCompUpgradeBios = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 4), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeBios.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeBios.setDescription(" Specifies whether the BIOS will be upgraded. If 'true' the bios would be upgraded else it would not.") ciuVersionCompUpgradeBootrom = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeBootrom.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeBootrom.setDescription(" Specifies whether the bootrom will be upgraded. If 'true' the bootrom would be upgraded else it would not.") ciuVersionCompUpgradeLoader = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 6), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeLoader.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeLoader.setDescription(" Specifies whether the loader will be upgraded. If 'true' the loader would be upgraded else it would not.") ciuVersionCompUpgradeImpact = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("nonDisruptive", 2), ("disruptive", 3), ("notApplicable", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeImpact.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeImpact.setDescription(' Specifies the impact of the upgrade operation that would have on this module. other(1) : reasons other than defined here nonDisruptive(2): this module would be upgraded without disruption of traffic. disruptive(3) : this module would be upgraded with disruption of traffic. notApplicable(4): upgrade is not possible because image is not upgradable. ') ciuVersionCompUpgradeReason = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 7, 1, 8), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuVersionCompUpgradeReason.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompUpgradeReason.setDescription("This object would give the reason for the following cases: 1)value of object ciuVersionCompUpgradable is 'false' then it would give the reason why the module is not upgradable. 2)the value of object ciuversionCompUpgradeAction is either 'switchOverReset' or 'reset' and value of object ciuVersionCompUpgradable is 'true'. 3)the value of object ciuVersionCompUpgradeImpact is 'disruptive' and value of objects, ciuVersionCompUpgradable is 'true' and ciuversionCompUpgradeAction is neither 'switchOverReset' nor 'reset. This object would have the reason in the above listed order. It would be a null string for all the other values of the above mentioned objects. ") ciuUpgradeImageVersionTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8), ) if mibBuilder.loadTexts: ciuUpgradeImageVersionTable.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionTable.setDescription("A table showing the current version of images running on the modules and the images they would be upgraded with. The table would be emptied out once the value of ciuUpgradeOpCommand object is 'none'. This table becomes valid when value of ciuUpgradeOpStatus is 'success' in response to 'check' operation selected using ciuUpgradeOpCommand. ") ciuUpgradeImageVersionEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1), ).setIndexNames((0, "ENTITY-MIB", "entPhysicalIndex"), (0, "CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionIndex")) if mibBuilder.loadTexts: ciuUpgradeImageVersionEntry.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionEntry.setDescription('An entry containing the current version of image running on a particular module and the images they would be upgraded with. An ciuUpgradeImageVersionVarName identifies the type of software running on this module, identified by entPhysicalIndex. It is possible that the same module, identified by entPhysicalIndex, can run multiple instances of the software type identified by ciuUpgradeImageVersionVarName. Each such module of the type PhysicalClass module(9), has an entry in entPhysicalTable in ENTITY-MIB, where that entry is identified by entPhysicalIndex. Only modules capable of running images, identified by ciuImageVariableName would have an entry in this table. ') ciuUpgradeImageVersionIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1, 1), Unsigned32()) if mibBuilder.loadTexts: ciuUpgradeImageVersionIndex.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionIndex.setDescription('This is an arbitrary integer which uniquely identifies different rows which have the same value of entPhysicalIndex.') ciuUpgradeImageVersionVarName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1, 2), CiuImageVariableTypeName()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeImageVersionVarName.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionVarName.setDescription('The type of image on this module. ') ciuUpgradeImageVersionRunning = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1, 3), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeImageVersionRunning.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionRunning.setDescription('An ASCII string specifying the running image version. ') ciuUpgradeImageVersionNew = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1, 4), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(1, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeImageVersionNew.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionNew.setDescription('An ASCII string specifying what the new image version would be after an upgrade. ') ciuUpgradeImageVersionUpgReqd = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 8, 1, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeImageVersionUpgReqd.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionUpgReqd.setDescription(" Specifies whether an upgrade is required for this software component, identified by entPhysicalIndex and ciuUpgradeImageVersionVarName. If the value of objects ciuUpgradeImageVersionRunning and ciuUpgradeImageVersionNew are same then the value of this object would be 'false' else it would be 'true'. If 'true' then this software component, identified by ciuUpgradeImageVersionVarName needs to be upgraded else it would not.") ciuUpgradeOpStatusTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9), ) if mibBuilder.loadTexts: ciuUpgradeOpStatusTable.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusTable.setDescription("A table showing the result of the upgrade operation selected from ciuUpgradeOpCommand in ciuUpgradeOpTable. The table would be emptied out once the value of ciuUpgradeOpCommand object is 'none'. ") ciuUpgradeOpStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1), ).setIndexNames((0, "CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusOperIndex")) if mibBuilder.loadTexts: ciuUpgradeOpStatusEntry.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusEntry.setDescription('An entry containing the status of the upgrade operation. ') ciuUpgradeOpStatusOperIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 1), Unsigned32()) if mibBuilder.loadTexts: ciuUpgradeOpStatusOperIndex.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusOperIndex.setDescription('This is an arbitrary integer which identifies uniquely an entry in this table. ') ciuUpgradeOpStatusOperation = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(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))).clone(namedValues=NamedValues(("unknown", 1), ("other", 2), ("copy", 3), ("verify", 4), ("versionExtraction", 5), ("imageSync", 6), ("configSync", 7), ("preUpgrade", 8), ("forceDownload", 9), ("moduleOnline", 10), ("hitlessLCUpgrade", 11), ("hitfulLCUpgrade", 12), ("unusedBootvar", 13), ("convertStartUp", 14), ("looseIncompatibility", 15), ("haSeqNumMismatch", 16), ("unknownModuleOnline", 17), ("recommendedAction", 18), ("recoveryAction", 19), ("remainingAction", 20), ("additionalInfo", 21), ("settingBootvars", 22), ("informLcmFsUpg", 23), ("sysmgrSaveRuntimeStateAndSuccessReset", 24), ("kexecLoadUpgImages", 25), ("fsUpgCleanup", 26), ("saveMtsState", 27), ("fsUpgBegin", 28), ("lcWarmBootStatus", 29), ("waitStateVerificationStatus", 30), ("informLcmFsUpgExternalLc", 31), ("externalLcWarmBootStatus", 32), ("total", 33), ("compactFlashTcamSanity", 34), ("systemPreupgradeBegin", 35)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusOperation.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusOperation.setDescription("Specifies the operation that is currently in progress or completed in response to the ciuUpgradeOpCommand. 'unknown' - operation status unknown. 'other' - operation status other than defined here. 'copy' - the image is being copied from ciuUpgradeOpStatusSrcImageLoc to ciuUpgradeOpStatusDestImageLoc. 'verify' - copied images are being verified for checksum and input consistency. 'versionExtraction' - extracting the version info from image. 'imageSync' - Syncing image to the standby supervisor, if standby supervisor exists. 'configSync' - saving running configuration to startup configuration and syncing it to standby supervisor, if it exists. 'preUpgrade' - Upgrading Bios/loader/bootrom 'forceDownload' - This module is being force downloaded. 'moduleOnline' - waiting for this module to come online 'hitlessLCUpgrade' - Upgrading hitless 'hitfulLCUpgrade' - Upgrading hitful 'unusedBootvar' - The image variable name type supplied as input for upgrade operation is unused. 'convertStartUp' - converting the startup config. 'looseIncompatibility' - incomplete support for current running config in the new image. 'haSeqNumMismatch' - High availability sequence number mismatch, so the module will be power cycled. 'unknownModuleOnline' - this module was powered down before switchover and has now come online. 'recommendedAction' - Specifies the recommended action if upgrading operation fails. If this object value is 'recommendedAction' then the object 'ciuUpgradeOpStatusSrcImageLoc' would contain the string specifying the recommended action. 'recoveryAction' - Specifies that installer is doing a recovery because of install failure. If this object value is 'recoveryAction' then the object 'ciuUpgradeOpStatusSrcImageLoc' would contain the string specifying the recovery action. 'remainingAction' - Specifies the remaining actions that have not been performed due to install failure. If this object value is 'remainingAction' then the object 'ciuUpgradeOpStatusSrcImageLoc' would contain the information about the remaining actions. 'additionalInfo' - Specifies the additional info the installer conveys to the user. If this object value is 'additionalInfo' then the object 'ciuUpgradeOpStatusSrcImageLoc' would contain the information. 'settingBootvars' - setting the boot variables. 'informLcmFsUpg' - save linecard runtime state. 'sysmgrSaveRuntimeStateAndSuccessReset' - save supervisor runtime state and terminate all services. 'kexecLoadUpgImages' - load upgrade images into memory. 'fsUpgCleanup' - cleanup file system for upgrade. 'saveMtsState' - saving persistent transaction messages. 'fsUpgBegin' - notify services that upgrade is about to begin. 'lcWarmBootStatus' - linecard upgrade status. 'waitStateVerificationStatus' - supervisor state verification with the new image. 'informLcmFsUpgExternalLc' - save external linecard runtime state. 'externalLcWarmBootStatus' - external linecard upgrade status. 'total' - total. 'compactFlashTcamSanity' - compact flash and TCAM sanity test. 'systemPreupgradeBegin' - notify services of beginning of upgrade. ") ciuUpgradeOpStatusModule = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 3), EntPhysicalIndexOrZero()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusModule.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusModule.setDescription('The physical entity of the module for which this status is being shown. For example such an entity is one of the type PhysicalClass module(9). This object must contain the same value as the entPhysicalIndex of the physical entity from entPhysicalTable in ENTITY-MIB. ') ciuUpgradeOpStatusSrcImageLoc = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 4), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusSrcImageLoc.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusSrcImageLoc.setDescription("An ASCII string specifying the source image location. For example the string could be 'bootflash:file1'. This object is only valid if the value of ciuUpgradeOpStatusOperation is 'copy'.") ciuUpgradeOpStatusDestImageLoc = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 5), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusDestImageLoc.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusDestImageLoc.setDescription("An ASCII string specifying the destination image location. For example the string could be 'bootflash:file1'.") ciuUpgradeOpStatusJobStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("unknown", 1), ("other", 2), ("failed", 3), ("inProgress", 4), ("success", 5), ("planned", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusJobStatus.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusJobStatus.setDescription("The status of this operation. 'unknown' - operation status unknown. 'other' - operation status other than defined here. 'failed' - this operation has failed 'inProgress' - this operation is active 'success' - this operation has completed successfully. 'planned' - this operation would be executed at later point of time.") ciuUpgradeOpStatusPercentCompl = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusPercentCompl.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusPercentCompl.setDescription('The percentage completion of the upgrade operation selected from ciuUpgradeOpTable. If this object is invalid for a particular operation, identified by ciuUpgradeOpStatusOperation, then the value of this object would be -1. ') ciuUpgradeOpStatusJobStatusReas = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 9, 1, 8), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeOpStatusJobStatusReas.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusJobStatusReas.setDescription("Specifies the description of the cause of 'failed' state of the object 'ciuUpgradeOpStatusJobStatus'. This object would be a null string if value of 'ciuUpgradeOpStatusJobStatus' is anything other than 'failed'.") ciuUpgradeMiscAutoCopy = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 10, 1), TruthValue().clone('false')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ciuUpgradeMiscAutoCopy.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscAutoCopy.setDescription("Specifies whether or not the images on the active supervisor will be copied to the standby supervisor, if the standby supervisor exists. If the standby supervisor does not exist, the setting of this object to 'true' will not have any effect and no image copy will be done. ciuImageURITable lists all the images for the supervisor cards as well as the line cards. If this object is set to 'true', all the images pointed to by the instances of ciuImageURI will be automatically copied to the standby supervisor. For example, assume that the ciuImageURITable looks like below - entPhysicalIndex ciuImageVariableName ciuImageURI 25 'system' bootflash://image.bin 25 'kickstart' slot0://boot.bin 26 'ilce' bootflash://linecard.bin So, if the ciuUpgradeMiscAutoCopy is 'true', then bootflash://image.bin from the active supervisor will be copied to the bootflash://image.bin on the standby supervisor; slot0://boot.bin will be copied to the slot0://boot.bin on the standby supervisor etc. If this object is set to 'false' then this copying of the images will not be done.") ciuUpgradeMiscInfoTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 11), ) if mibBuilder.loadTexts: ciuUpgradeMiscInfoTable.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoTable.setDescription("A table showing additional information such as warnings during upgrade. The table would be emptied out once the value of ciuUpgradeOpCommand object is 'none'. ") ciuUpgradeMiscInfoEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 11, 1), ).setIndexNames((0, "CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoIndex")) if mibBuilder.loadTexts: ciuUpgradeMiscInfoEntry.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoEntry.setDescription('An entry containing additional information of upgrade operation being performed on modules. Each entry is uniquely identified by ciuUpgradeMiscInfoIndex. If the info given in object ciuUpgradeMiscInfoDescr is not for any module then the value of ciuUpgradeMiscInfoModule would be 0.') ciuUpgradeMiscInfoIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 11, 1, 1), Unsigned32()) if mibBuilder.loadTexts: ciuUpgradeMiscInfoIndex.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoIndex.setDescription('This is an arbitrary integer which identifies uniquely an entry in this table. ') ciuUpgradeMiscInfoModule = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 11, 1, 2), EntPhysicalIndexOrZero()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeMiscInfoModule.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoModule.setDescription('The entPhysicalIndex of the module. The value of this object would be 0 if the information shown in ciuUpgradeMiscInfoDescr is not for any module.') ciuUpgradeMiscInfoDescr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 360, 1, 1, 11, 1, 3), SnmpAdminString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ciuUpgradeMiscInfoDescr.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoDescr.setDescription('Specifies the miscelleneous information of the upgrade operation.') ciuUpgradeOpCompletionNotify = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 360, 0, 1)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpCommand"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpTimeCompleted"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpLastCommand"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpLastStatus")) if mibBuilder.loadTexts: ciuUpgradeOpCompletionNotify.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpCompletionNotify.setDescription('A ciuUpgradeOpCompletionNotify is sent at the completion of upgrade operation denoted by ciuUpgradeOpCommand object if such a notification was requested when the operation was initiated. ciuUpgradeOpCommand indicates the type of operation. ciuUpgradeOpStatus indicates the result of the operation. ciuUpgradeOpTimeCompleted indicates the time when the operation is completed. ciuUpgradeopLastCommand indicates the previous operation that was executed. ciuUpgradeOpLastStatus indicates the result of previous operation.') ciuUpgradeJobStatusNotify = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 360, 0, 2)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusOperation"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusModule"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusSrcImageLoc"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusDestImageLoc"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusJobStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusPercentCompl"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusJobStatusReas"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusReason")) if mibBuilder.loadTexts: ciuUpgradeJobStatusNotify.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeJobStatusNotify.setDescription('A ciuUpgradeJobStatusNotify is sent when there is status change in the upgrade process. ciuUpgradeOpStatusOperation indicates the operation to change the upgrade status. ciuUpgradeOpStatusModule indicates which module is affected. ciuUpgradeOpStatusSrcImageLoc indicates location of source image if applicable. ciuUpgradeOpStatusDestImageLoc indicates location of destination image if applicable. ciuUpgradeOpStatusJobStatus indicates the result of this operation to change the status. ciuUpgradeOpStatusPercentCompl indicates percentage of the operation that has been completed. ciuUpgradeOpStatusJobStatusReas gives explanation of the faiure if there is a failure. ciuUpgradeOpStatus indicates the result of the operation at higher level. ciuUpgradeOpStatusReason gives detailed explanation if ciuUpgradeOpStatus is not successful.') ciuImageUpgradeCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1)) ciuImageUpgradeGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2)) ciuImageUpgradeCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1, 1)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageUpgradeGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURIGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompChkGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeCompliance = ciuImageUpgradeCompliance.setStatus('deprecated') if mibBuilder.loadTexts: ciuImageUpgradeCompliance.setDescription("Compliance statement for Image Upgrade MIB. For the (mandatory) ciuImageLocInputGroup, it is compliant to allow only a limited number of entries to be created and concurrently 'active' in the ciuImageLocInputTable table. ") ciuImageUpgradeComplianceRev1 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1, 2)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageUpgradeGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURIGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompChkGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeComplianceRev1 = ciuImageUpgradeComplianceRev1.setStatus('deprecated') if mibBuilder.loadTexts: ciuImageUpgradeComplianceRev1.setDescription("Compliance statement for Image Upgrade MIB. For the (mandatory) ciuImageLocInputGroup, it is compliant to allow only a limited number of entries to be created and concurrently 'active' in the ciuImageLocInputTable table. ") ciuImageUpgradeComplianceRev2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1, 3)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageUpgradeGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURIGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompChkGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeComplianceRev2 = ciuImageUpgradeComplianceRev2.setStatus('deprecated') if mibBuilder.loadTexts: ciuImageUpgradeComplianceRev2.setDescription("Compliance statement for Image Upgrade MIB. For the (mandatory) ciuImageLocInputGroup, it is compliant to allow only a limited number of entries to be created and concurrently 'active' in the ciuImageLocInputTable table.") ciuImageUpgradeComplianceRev3 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1, 4)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageUpgradeGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURIGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompChkGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroupSup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeComplianceRev3 = ciuImageUpgradeComplianceRev3.setStatus('deprecated') if mibBuilder.loadTexts: ciuImageUpgradeComplianceRev3.setDescription("Compliance statement for Image Upgrade MIB. For the (mandatory) ciuImageLocInputGroup, it is compliant to allow only a limited number of entries to be created and concurrently 'active' in the ciuImageLocInputTable table.") ciuImageUpgradeComplianceRev4 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 1, 5)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageUpgradeGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURIGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompChkGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeNotificationGroupSup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoGroup"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpNewGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeComplianceRev4 = ciuImageUpgradeComplianceRev4.setStatus('current') if mibBuilder.loadTexts: ciuImageUpgradeComplianceRev4.setDescription("Compliance statement for Image Upgrade MIB. For the (mandatory) ciuImageLocInputGroup, it is compliant to allow only a limited number of entries to be created and concurrently 'active' in the ciuImageLocInputTable table.") ciuImageUpgradeGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 1)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuTotalImageVariables")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageUpgradeGroup = ciuImageUpgradeGroup.setStatus('current') if mibBuilder.loadTexts: ciuImageUpgradeGroup.setDescription('A collection of objects providing information about Image upgrade. ') ciuImageVariableGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 2)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageVariableName")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageVariableGroup = ciuImageVariableGroup.setStatus('current') if mibBuilder.loadTexts: ciuImageVariableGroup.setDescription('A group containing an object providing information about the type of the system images.') ciuImageURIGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 3)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageURI")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageURIGroup = ciuImageURIGroup.setStatus('current') if mibBuilder.loadTexts: ciuImageURIGroup.setDescription('A group containing an object providing information about the name of system variable or parameter.') ciuUpgradeOpGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 4)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpCommand"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpNotifyOnCompletion"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpTimeStarted"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpTimeCompleted"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpAbort"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusReason")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeOpGroup = ciuUpgradeOpGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpGroup.setDescription('A collection of objects for Upgrade operation.') ciuUpgradeTargetGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 5)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeTargetAction"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeTargetEntryStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeTargetGroup = ciuUpgradeTargetGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeTargetGroup.setDescription('A collection of objects giving the modules and the type of image to be upgraded.') ciuImageLocInputGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 6)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputURI"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuImageLocInputEntryStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuImageLocInputGroup = ciuImageLocInputGroup.setStatus('current') if mibBuilder.loadTexts: ciuImageLocInputGroup.setDescription('A collection of objects giving the location of the images to be upgraded.') ciuVersionCompChkGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 7)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompImageSame"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradable"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeAction"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeBios"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeBootrom"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeLoader"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeImpact"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuVersionCompUpgradeReason")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuVersionCompChkGroup = ciuVersionCompChkGroup.setStatus('current') if mibBuilder.loadTexts: ciuVersionCompChkGroup.setDescription('A collection of objects showing the results of the version compatibility check done.') ciuUpgradeImageVersionGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 8)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionVarName"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionRunning"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionNew"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeImageVersionUpgReqd")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeImageVersionGroup = ciuUpgradeImageVersionGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeImageVersionGroup.setDescription('A collection of objects showing the current running images and the images to be upgraded with.') ciuUpgradeOpStatusGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 9)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusOperation"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusModule"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusSrcImageLoc"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusDestImageLoc"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusJobStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusPercentCompl"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpStatusJobStatusReas")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeOpStatusGroup = ciuUpgradeOpStatusGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpStatusGroup.setDescription('A collection of objects showing the status of the upgrade operation.') ciuUpgradeNotificationGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 10)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpCompletionNotify")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeNotificationGroup = ciuUpgradeNotificationGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeNotificationGroup.setDescription('A collection of notifications for upgrade operations. ') ciuUpgradeMiscGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 11)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscAutoCopy")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeMiscGroup = ciuUpgradeMiscGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscGroup.setDescription('A collection of objects for Miscelleneous operation.') ciuUpgradeMiscInfoGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 12)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoModule"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeMiscInfoDescr")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeMiscInfoGroup = ciuUpgradeMiscInfoGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeMiscInfoGroup.setDescription('A collection of objects for Miscelleneous info for upgrade operation.') ciuUpgradeNotificationGroupSup = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 13)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeJobStatusNotify")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeNotificationGroupSup = ciuUpgradeNotificationGroupSup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeNotificationGroupSup.setDescription('A collection of notifications for upgrade operations. ') ciuUpgradeOpNewGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 360, 2, 2, 14)).setObjects(("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeJobStatusNotifyOnCompletion"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpLastCommand"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpLastStatus"), ("CISCO-IMAGE-UPGRADE-MIB", "ciuUpgradeOpLastStatusReason")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciuUpgradeOpNewGroup = ciuUpgradeOpNewGroup.setStatus('current') if mibBuilder.loadTexts: ciuUpgradeOpNewGroup.setDescription('A collection of objects for Upgrade operation.') mibBuilder.exportSymbols("CISCO-IMAGE-UPGRADE-MIB", ciuUpgradeImageVersionUpgReqd=ciuUpgradeImageVersionUpgReqd, ciuUpgradeOpAbort=ciuUpgradeOpAbort, ciuImageLocInputURI=ciuImageLocInputURI, ciuUpgradeOpGroup=ciuUpgradeOpGroup, ciuUpgradeOpStatusReason=ciuUpgradeOpStatusReason, ciuVersionCompUpgradeReason=ciuVersionCompUpgradeReason, ciuTotalImageVariables=ciuTotalImageVariables, ciuUpgradeJobStatusNotify=ciuUpgradeJobStatusNotify, ciuUpgradeImageVersionTable=ciuUpgradeImageVersionTable, ciuUpgradeTargetAction=ciuUpgradeTargetAction, ciuUpgradeOpStatusOperation=ciuUpgradeOpStatusOperation, ciuImageVariableName=ciuImageVariableName, ciuUpgradeImageVersionIndex=ciuUpgradeImageVersionIndex, ciuUpgradeOpStatusModule=ciuUpgradeOpStatusModule, ciuVersionCompChkGroup=ciuVersionCompChkGroup, ciuVersionCompUpgradeImpact=ciuVersionCompUpgradeImpact, ciuUpgradeMiscGroup=ciuUpgradeMiscGroup, ciuUpgradeOpStatusOperIndex=ciuUpgradeOpStatusOperIndex, ciuImageUpgradeGroup=ciuImageUpgradeGroup, ciuImageLocInputEntryStatus=ciuImageLocInputEntryStatus, ciuUpgradeOpStatus=ciuUpgradeOpStatus, ciuImageURIGroup=ciuImageURIGroup, ciuUpgradeMiscInfoTable=ciuUpgradeMiscInfoTable, ciuUpgradeTargetEntry=ciuUpgradeTargetEntry, ciscoImageUpgradeMIB=ciscoImageUpgradeMIB, ciuImageVariableTable=ciuImageVariableTable, ciuUpgradeOpStatusJobStatusReas=ciuUpgradeOpStatusJobStatusReas, ciuUpgradeOpLastCommand=ciuUpgradeOpLastCommand, ciuVersionCompUpgradeBios=ciuVersionCompUpgradeBios, ciuImageUpgradeComplianceRev3=ciuImageUpgradeComplianceRev3, ciuVersionCompUpgradeLoader=ciuVersionCompUpgradeLoader, ciuUpgradeTargetTable=ciuUpgradeTargetTable, ciuUpgradeOpCompletionNotify=ciuUpgradeOpCompletionNotify, ciscoImageUpgradeMIBObjects=ciscoImageUpgradeMIBObjects, ciuVersionCompChkTable=ciuVersionCompChkTable, ciuUpgradeOpStatusTable=ciuUpgradeOpStatusTable, ciuImageURI=ciuImageURI, ciuUpgradeOpStatusSrcImageLoc=ciuUpgradeOpStatusSrcImageLoc, ciuImageLocInputEntry=ciuImageLocInputEntry, ciuUpgradeImageVersionGroup=ciuUpgradeImageVersionGroup, ciuVersionCompImageSame=ciuVersionCompImageSame, ciuUpgradeMiscInfoGroup=ciuUpgradeMiscInfoGroup, ciuUpgradeOpLastStatusReason=ciuUpgradeOpLastStatusReason, ciuUpgradeMiscInfoIndex=ciuUpgradeMiscInfoIndex, ciuUpgradeMiscInfoEntry=ciuUpgradeMiscInfoEntry, ciuUpgradeImageVersionRunning=ciuUpgradeImageVersionRunning, ciuImageVariableEntry=ciuImageVariableEntry, CiuImageVariableTypeName=CiuImageVariableTypeName, ciscoImageUpgradeMisc=ciscoImageUpgradeMisc, ciscoImageUpgradeConfig=ciscoImageUpgradeConfig, ciuImageUpgradeCompliances=ciuImageUpgradeCompliances, ciuUpgradeOpStatusDestImageLoc=ciuUpgradeOpStatusDestImageLoc, ciuImageLocInputGroup=ciuImageLocInputGroup, ciuUpgradeOpTimeCompleted=ciuUpgradeOpTimeCompleted, ciuUpgradeMiscInfoModule=ciuUpgradeMiscInfoModule, ciuUpgradeTargetGroup=ciuUpgradeTargetGroup, ciuImageVariableGroup=ciuImageVariableGroup, ciuImageURITable=ciuImageURITable, ciscoImageUpgradeMIBNotifs=ciscoImageUpgradeMIBNotifs, ciuVersionCompUpgradeAction=ciuVersionCompUpgradeAction, ciuUpgradeMiscAutoCopy=ciuUpgradeMiscAutoCopy, ciuUpgradeOpNotifyOnCompletion=ciuUpgradeOpNotifyOnCompletion, ciuUpgradeImageVersionNew=ciuUpgradeImageVersionNew, ciuUpgradeOpCommand=ciuUpgradeOpCommand, ciuImageUpgradeGroups=ciuImageUpgradeGroups, ciuVersionCompUpgradeBootrom=ciuVersionCompUpgradeBootrom, ciuUpgradeOpStatusPercentCompl=ciuUpgradeOpStatusPercentCompl, ciuUpgradeNotificationGroupSup=ciuUpgradeNotificationGroupSup, ciuUpgradeOpStatusJobStatus=ciuUpgradeOpStatusJobStatus, ciuUpgradeJobStatusNotifyOnCompletion=ciuUpgradeJobStatusNotifyOnCompletion, ciuUpgradeOpNewGroup=ciuUpgradeOpNewGroup, ciuUpgradeImageVersionEntry=ciuUpgradeImageVersionEntry, ciuUpgradeOpTimeStarted=ciuUpgradeOpTimeStarted, ciuUpgradeTargetEntryStatus=ciuUpgradeTargetEntryStatus, ciuImageUpgradeComplianceRev4=ciuImageUpgradeComplianceRev4, ciuUpgradeOpStatusGroup=ciuUpgradeOpStatusGroup, ciuImageURIEntry=ciuImageURIEntry, ciuUpgradeOpLastStatus=ciuUpgradeOpLastStatus, ciuVersionCompUpgradable=ciuVersionCompUpgradable, ciuVersionCompChkEntry=ciuVersionCompChkEntry, ciuUpgradeMiscInfoDescr=ciuUpgradeMiscInfoDescr, ciuImageLocInputTable=ciuImageLocInputTable, ciuUpgradeImageVersionVarName=ciuUpgradeImageVersionVarName, ciuImageUpgradeCompliance=ciuImageUpgradeCompliance, ciuUpgradeNotificationGroup=ciuUpgradeNotificationGroup, ciscoImageUpgradeMIBConform=ciscoImageUpgradeMIBConform, ciuImageUpgradeComplianceRev2=ciuImageUpgradeComplianceRev2, ciuUpgradeOpStatusEntry=ciuUpgradeOpStatusEntry, PYSNMP_MODULE_ID=ciscoImageUpgradeMIB, ciuImageUpgradeComplianceRev1=ciuImageUpgradeComplianceRev1, ciscoImageUpgradeOp=ciscoImageUpgradeOp)

222.72459

4,682

0.794453

8,056

67,931

6.698858

0.096698

0.032465

0.056814

0.044472

0.478283

0.370178

0.327799

0.29867

0.274099

0.264908

0

0.033822

0.102957

67,931

304

4,683

223.457237

0.851781

0.005005

0

0.068966

0

0.186207

0.548371

0.122429

0

1

0

false

0

0.034483

0

0.048276

0

null

0

1

0

null

0

2

7084db86248022329a93791876ae956973fe9671

842

py

Python

src/schedulers/capacity_coefficient_scheduler.py

jp172/covid19-hospital-scheduler

0931ac7b91f3e7fdbad741c5fc92577278dfc823

[ "MIT" ]

5

2020-03-22T22:46:15.000Z

2020-03-25T14:16:49.000Z

src/schedulers/capacity_coefficient_scheduler.py

jp172/covid19-hospital-scheduler

0931ac7b91f3e7fdbad741c5fc92577278dfc823

[ "MIT" ]

null

src/schedulers/capacity_coefficient_scheduler.py

jp172/covid19-hospital-scheduler

0931ac7b91f3e7fdbad741c5fc92577278dfc823

[ "MIT" ]

1

2020-03-22T20:44:01.000Z

from .utils import get_feasible_hospitals from ..objects.proposal import RankedProposal class CapacityScheduler: def assign_request(self, instance, request): hospitals = instance.get_hospitals_in_area(request.person.position) # get feasible hospitals checks for vehicle range and free beds feasible_hospitals = get_feasible_hospitals( hospitals, request.person.position ) # todo: Take the min really from all hospitals here? if not feasible_hospitals: best_hospital = min(instance.hospitals.values(), key=lambda h: h.capacity_coefficient) return RankedProposal([best_hospital]) else: feasible_hospitals = sorted(feasible_hospitals, key=lambda h: h.capacity_coefficient)[:3] return RankedProposal(feasible_hospitals)

36.608696

101

0.709026

93

842

6.236559

0.516129

0.234483

0.103448

0.037931

0.103448

0

0.001534

0.225653

842

22

102

38.272727

0.888037

0.133017

0

0.045455

0

1

0.071429

false

0

0.142857

0

0.428571

0

null

1

0

null

0

1

0

2

70855b3dc786603fc81ca670fb90be336edaa6a8

643

py

Python

picha/forms.py

amon-wanyonyi/gallery-app

89b1e9f68cdb112e732f902e4d2bd5d89f2eb5d7

[ "MIT" ]

null

picha/forms.py

amon-wanyonyi/gallery-app

89b1e9f68cdb112e732f902e4d2bd5d89f2eb5d7

[ "MIT" ]

null

picha/forms.py

amon-wanyonyi/gallery-app

89b1e9f68cdb112e732f902e4d2bd5d89f2eb5d7

[ "MIT" ]

null

from django import forms from django.forms import ModelForm from .models import Category,Image, Location class ImageForm(forms.ModelForm): class Meta: model = Image fields = '__all__' CATEGORIES =( ("1", "Cars"), ("2", "Food"), ("3", "Travel"), ("4", "Animals"), ("5", "Nature"), ("6", "Sports"), ) class ImagesForm(forms.Form): image = forms.ImageField(required=True) pic_name = forms.CharField(required=True) description = forms.CharField(required=True) location = forms.CharField(required=True) pic_category = forms.ChoiceField(choices=CATEGORIES, required=True)

26.791667

71

0.645412

71

643

5.760563

0.549296

0.146699

0.161369

0.190709

0

0.011765

0.206843

643

24

71

26.791667

0.790196

0

0.071429

0

1

0

false

0

0.142857

0

0.52381

0

null

0

1

0

null

0

1

0

2

70aa44c4f89295464ac761beec4c73fc72588ede

796

py

Python

rockiot/app/migrations/0039_auto_20211015_1658.py

isocserbia/rockiot

fc0c52cca4ca862ba570d6b2c64b8d30f8989f05

[ "Apache-2.0" ]

2

2022-01-23T11:03:37.000Z

2022-02-26T10:54:10.000Z

rockiot/app/migrations/0039_auto_20211015_1658.py

isocserbia/rockiot

fc0c52cca4ca862ba570d6b2c64b8d30f8989f05

[ "Apache-2.0" ]

null

rockiot/app/migrations/0039_auto_20211015_1658.py

isocserbia/rockiot

fc0c52cca4ca862ba570d6b2c64b8d30f8989f05

[ "Apache-2.0" ]

null

# Generated by Django 3.2.8 on 2021-10-15 16:58 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app', '0038_auto_20211012_1634'), ] operations = [ migrations.RenameField( model_name='device', old_name='erase_wifi_credentials_at', new_name='last_event_sent_at', ), migrations.RemoveField( model_name='device', name='zero_config_at', ), migrations.RenameField( model_name='devicelogentry', old_name='erase_wifi_credentials_at', new_name='last_event_sent_at', ), migrations.RemoveField( model_name='devicelogentry', name='zero_config_at', ), ]

25.677419

49

0.579146

80

796

5.425

0.525

0.082949

0.119816

0.138249

0.373272

0

0.057196

0.319095

796

31

50

25.677419

0.743542

0.056533

0

0.72

1

0

0.24

0.097333

0

1

0

false

0

0.04

0

0.16

0

null

0

1

0

null

0

2

560871495a84c94431f674d70f54871a629205e0

215

py

Python

Practice/Beginner/Number Mirror/PYTHON/number-mirror.py

avantikat/codechef-1

11e678a05ad339e799bb876606297dff979e9e03

[ "MIT" ]

2

2021-01-19T05:48:45.000Z

2021-01-20T11:58:39.000Z

Practice/Beginner/Number Mirror/PYTHON/number-mirror.py

avantikat/codechef-1

11e678a05ad339e799bb876606297dff979e9e03

[ "MIT" ]

null

Practice/Beginner/Number Mirror/PYTHON/number-mirror.py

avantikat/codechef-1

11e678a05ad339e799bb876606297dff979e9e03

[ "MIT" ]

3

2021-01-21T06:58:27.000Z

2021-02-09T13:20:29.000Z

""" AUTHOR - Atharva Deshpande GITHUB - https://github.com/AtharvaD11 QUESTION LINK - https://www.codechef.com/problems/START01 """ ********************************** n = int(input()) print(n)

17.916667

63

0.525581

21

215

5.380952

0.809524

0

0.022857

0.186047

215

11

64

19.545455

0.622857

0

null

0

null

0.333333

1

0

null

0

null

0

1

0

2

561949f52308487819299b30d31e6d89b37b7253

407

py

Python

test/git_copy_test.py

rec/gitz

cbb07f99dd002c85b5ca95896b33d03150bf9282

[ "MIT" ]

24

2019-07-26T03:57:16.000Z

2021-11-22T22:39:13.000Z

test/git_copy_test.py

rec/gitz

cbb07f99dd002c85b5ca95896b33d03150bf9282

[ "MIT" ]

212

2019-06-13T13:44:26.000Z

2020-06-02T17:59:51.000Z

test/git_copy_test.py

rec/gitz

cbb07f99dd002c85b5ca95896b33d03150bf9282

[ "MIT" ]

2

2019-08-09T13:55:38.000Z

2019-09-07T11:17:59.000Z

from gitz.git import GIT from gitz.git import functions from gitz.git import repo import unittest class GitCopyTest(unittest.TestCase): @repo.test def test_simple(self): repo.make_commit('1') GIT.new('one') GIT.copy('two', '-v') expected = {'origin': ['master', 'one', 'two'], 'upstream': ['master']} self.assertEqual(functions.remote_branches(), expected)

27.133333

79

0.643735

51

407

5.078431

0.568627

0.092664

0.127413

0.196911

0

0.003086

0.203931

407

14

80

29.071429

0.796296

0

0.100737

0

0.083333

1

0.083333

false

0

0.333333

0

0.5

0

null

0

1

0

null

0

1

0

2

561b49e04cb1faae723f199cd2bb350c8e9b89bf

1,970

py

Python

ndnt/paths.py

Masynchin/ndnt

091c121d452b58bf099db2b4e19b96c3380a984d

[ "MIT" ]

1

2022-01-29T15:39:46.000Z

ndnt/paths.py

Masynchin/ndnt

091c121d452b58bf099db2b4e19b96c3380a984d

[ "MIT" ]

1

2022-03-31T22:44:20.000Z

ndnt/paths.py

Masynchin/ndnt

091c121d452b58bf099db2b4e19b96c3380a984d

[ "MIT" ]

null

"""Paths interface and its implementations.""" from pathlib import Path from typing import Iterable from pathspec import PathSpec from pathspec.patterns import GitWildMatchPattern from ndnt.extension import Extension class Paths(Iterable[Path]): """Paths inteface. `Paths` behaves like `Iterable[Path]`. """ class FilesPaths(Paths): """Files paths. All paths that are files from given directory. """ def __init__(self, path: Path): self.path = path def __iter__(self) -> Iterable[Path]: return filter(Path.is_file, self.path.glob("**/*")) class ExtensionPaths(Paths): """Extension paths. Paths with certain extension. """ def __init__(self, origin: Paths, extension: Extension): self.origin = origin self.extension = extension def __iter__(self) -> Iterable[Path]: return filter(lambda path: self.extension == path.suffix, self.origin) class ExcludeGitignoredPaths(Paths): """Paths exluding paths that matches gitignore. Optimization inspired by "black" package: https://github.com/psf/black/blob/fda2561f79e10826dbdeb900b6124d642766229f/src/black/files.py#L177 """ def __init__(self, path: Path, gitignore_path: Path): self.path = path self.gitignore_path = gitignore_path def __iter__(self) -> Iterable[Path]: gitignore = PathSpec.from_lines( GitWildMatchPattern, self.gitignore_path.read_text().splitlines() ) yield from self._iter(self.path, gitignore) def _iter(self, path: Path, gitignore: PathSpec) -> Iterable[Path]: """Optimized gitignore paths filter. Do not iterate directories if they are in gitignore. """ for p in path.iterdir(): if gitignore.match_file(p): continue if p.is_file(): yield p elif p.is_dir(): yield from self._iter(p, gitignore)

25.921053

102

0.649746

223

1,970

5.573991

0.358744

0.045052

0.04827

0.045857

0.134352

0.081255

0.056315

0

0.020202

0.246193

1,970

75

103

26.266667

0.816835

0.243655

0

0.147059

0

0.002853

0

1

0.205882

false

0

0.147059

0.058824

0.529412

0

null

0

null

0

1

0

1

0

2

564124cab865da25819f725850fcd01e601316a7

1,551

py

Python

src/core_backend/service/plugin.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

src/core_backend/service/plugin.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

5

2021-01-28T21:18:27.000Z

2022-03-25T19:10:01.000Z

src/core_backend/service/plugin.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

#-*- coding:utf-8 -*- import sys, traceback from core_backend import context from core_backend.libs.exception import Error import logging #logger = Log.getDebugLogger() #logger.setLevel(logging.INFO) logger = logging.getLogger(__name__) class plugin(object): def __init__(self, handler, session): self.handler = handler self.session = session self.context = self.handler.context self.request = self.context.request self.service = self.handler._service def process(self): pass def post_process(self): pass class PluginHandler(object): def __init__(self, handler, session): self.handler = handler self.session = session self.plg_modules = [] self.plg_inst_list = [] def import_module(self, module, fromlist): # return __import__(self.get_module(m), fromlist=["plugins"]) return __import__(module, fromlist=fromlist) def load_plugins(self, plg_module): plgconfig = self.import_module(plg_module, [plg_module]) module_files = plgconfig.plugins_modules for f in module_files: m = self.import_module(plg_module + '.' + f, [plg_module]) self.plg_modules.append(m) ins = m.Plugin(self.handler, self.session) self.plg_inst_list.append(ins) def run_plugins(self): for ins in self.plg_inst_list: ins.process() def run_post_plugins(self): for ins in self.plg_inst_list: ins.post_process()

27.696429

70

0.646035

188

1,551

5.058511

0.287234

0.080967

0.046267

0.063091

0.279706

0.227129

0

0.000865

0.254674

1,551

55

71

28.2

0.821799

0.088975

0

0.263158

0

0.00071

0

1

0.210526

false

0.052632

0.210526

0.026316

0.5

0

null

0

null

0

1

0

1

0

2

564972393480d24b55b21815eb789d50277da209

1,630

py

Python

tfx/orchestration/portable/input_resolution/exceptions.py

ajmarcus/tfx

28ac2be5ace31ca733f6292495f8be83484a1730

[ "Apache-2.0" ]

null

tfx/orchestration/portable/input_resolution/exceptions.py

ajmarcus/tfx

28ac2be5ace31ca733f6292495f8be83484a1730

[ "Apache-2.0" ]

null

tfx/orchestration/portable/input_resolution/exceptions.py

ajmarcus/tfx

28ac2be5ace31ca733f6292495f8be83484a1730

[ "Apache-2.0" ]

null

# Copyright 2021 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in 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. """Module for input resolution exceptions. Theses exceptions can be raised from ResolverStartegy or ResolverOp implementation, and each exception is specially handled in input resolution process. Other errors raised during the input resolution will not be catched and be propagated to the input resolution caller. """ # Disable lint errors that enforces all exception name to end with -Error. # pylint: disable=g-bad-exception-name class InputResolutionError(Exception): """Base exception class for input resolution related errors.""" class InputResolutionSignal(Exception): """Base exception class for non-error input resolution signals.""" class SkipSignal(InputResolutionSignal): """Special signal to resolve empty input resolution result. Normally empty input resolution result is regarded as an error (in synchronous pipeline). Raising SkipSignal would resolve empty list input without an error. TFX Conditional uses SkipSignal to _not_ execute components if the branch predicate evaluates to false. """

38.809524

80

0.784663

227

1,630

5.625551

0.572687

0.09397

0.02036

0.025059

0.046985

0

0.005827

0.157669

1,630

41

81

39.756098

0.924253

0.878528

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

2

5658ab7b24fbbc0c083f951f0b6a2a80579889fa

295

py

Python

aula8/aula08.py

matheusluz071098/Curso-de-Python

633bcfd3b444327d969e3e6fd6ad37cef910e048

[ "MIT" ]

null

aula8/aula08.py

matheusluz071098/Curso-de-Python

633bcfd3b444327d969e3e6fd6ad37cef910e048

[ "MIT" ]

null

aula8/aula08.py

matheusluz071098/Curso-de-Python

633bcfd3b444327d969e3e6fd6ad37cef910e048

[ "MIT" ]

null

# aula 8 # tuplas numeros = [1,4,6] usuario = {'nome:''user','passwd',:123456} pessoa = ('matheus','luz',0,45,5,numeros) print(numeros) print(usuario) print(pessoa) numeros[1] = 5 usuario ['passwd'] = 456123 lista_pessoa = [] lista_pessoa.append(pessoa) #pessoa[4][1] =6 print(pessoa)[4][1])

16.388889

42

0.664407

45

295

4.311111

0.488889

0.082474

0

0.103448

0.115254

295

18

43

16.388889

0.639847

0

0.117424

0

null

0.181818

0

null

0.363636

0

null

0

null

0

1

0

1

0

2

56721a21d88665f27b61aff6cca650492e5300f3

691

py

Python

S4/S4 Library/simulation/objects/lighting/lighting_object_interactions.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

1

2021-05-20T19:33:37.000Z

S4/S4 Library/simulation/objects/lighting/lighting_object_interactions.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

S4/S4 Library/simulation/objects/lighting/lighting_object_interactions.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

from objects.lighting.lighting_interactions import SwitchLightImmediateInteraction from objects.object_state_utils import ObjectStateHelper import sims4 logger = sims4.log.Logger('LightingAndObjectState', default_owner='mkartika') class SwitchLightAndStateImmediateInteraction(SwitchLightImmediateInteraction): INSTANCE_TUNABLES = {'state_settings': ObjectStateHelper.TunableFactory(description='\n Find objects in the same room or lot based on the tags and \n set state to the desired state.\n ')} def _run_interaction_gen(self, timeline): yield from super()._run_interaction_gen(timeline) self.state_settings.execute_helper(self)

57.583333

224

0.778582

75

691

6.986667

0.653333

0.041985

0.064886

0

0.003425

0.154848

691

11

225

62.818182

0.893836

0

0.111111

0.254703

0.031838

0

1

0.111111

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

2

5679b51f6118b18e3e4e239059714dfed0909e87

196

py

Python

contacts/urls.py

melodyPereira05/PropertyDekho

9cc860cd9645de4c21efbb755dd2312ffea684b0

[ "MIT" ]

null

contacts/urls.py

melodyPereira05/PropertyDekho

9cc860cd9645de4c21efbb755dd2312ffea684b0

[ "MIT" ]

null

contacts/urls.py

melodyPereira05/PropertyDekho

9cc860cd9645de4c21efbb755dd2312ffea684b0

[ "MIT" ]

null

from django.urls import path from . import views urlpatterns = [ path('<int:sproperty_id>/',views.contact,name="contact"), path('',views.contact_submit,name="contact-submit"), ]

19.6

61

0.673469

24

196

5.416667

0.541667

0.184615

0

0.163265

196

10

62

19.6

0.792683

0

0.203046

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

null

0

1

0

2

5683f938e7eeefc9e75b94fdc3d8a1fc14161acb

1,124

py

Python

ManualTest/eventCheckAndActionTest.py

terapotan/NewBreakingBlocks

72927942d4a5088eae2191ce1d46562599f05cc8

[ "MIT" ]

null

ManualTest/eventCheckAndActionTest.py

terapotan/NewBreakingBlocks

72927942d4a5088eae2191ce1d46562599f05cc8

[ "MIT" ]

null

ManualTest/eventCheckAndActionTest.py

terapotan/NewBreakingBlocks

72927942d4a5088eae2191ce1d46562599f05cc8

[ "MIT" ]

null

import unittest class mainTest(unittest.TestCase): def test_checkCollectEventCheckListContent(self): self.assertEqual(input('EventOccurCheckClassesInAFrame:dummyEventCheck1,dummyEventCheck2,dummyEventCheck3,と表示されているか(y/n)'),'y') def test_checkCollectEventQueueListContent(self): self.assertEqual(input('EventExecuteClassesInAFrame:dummyEventAction1,dummyEventAction2,dummyEventAction3,と表示されているか(y/n)'),'y') def test_checkCollectEventActionListCotent(self): self.assertEqual(input('EventExecuseList:dummyEventAction1,dummyEventAction2,dummyEventAction3,と表示されているか(y/n)'),'y') def test_checkCollectEventQueueListAfterCalling(self): self.assertEqual(input('EventAfterQueueListEmpty:Yesと表示されているか(y/n)'),'y') def test_checkCollectEventActionQueContent(self): self.assertEqual(input('EventActionQue:eventAction1,eventAction2と表示されているか(y/n)'),'y') def test_checkCallEventActionQueContent(self): self.assertEqual(input('関数呼び出し後にEventActionQue:(何も表示されない)となっているか(y/n)'),'y') # ほかのファイルからimportされたときにテストが実行されないようにする if __name__ == "__main__": unittest.main()

53.52381

135

0.790925

95

1,124

9.210526

0.421053

0.048

0.130286

0.164571

0.204571

0.181714

0.16

0

0.010827

0.096085

1,124

21

136

53.52381

0.850394

0.032028

0

0.397424

0.384545

0

0.375

1

0.375

false

0

0.0625

0

0.5

0

null

0

1

0

null

0

1

0

2

56887c191046d293831578b1ba492a974431002a

1,276

py

Python

apps/gsekit/admin.py

iSecloud/bk-process-config-manager

f44c01b7a28dd9328cce6e6066eae42d5365070d

[ "MIT" ]

8

2021-07-08T06:53:57.000Z

2022-03-14T04:05:27.000Z

apps/gsekit/admin.py

iSecloud/bk-process-config-manager

f44c01b7a28dd9328cce6e6066eae42d5365070d

[ "MIT" ]

107

2021-07-22T02:20:07.000Z

2022-03-14T08:37:23.000Z

apps/gsekit/admin.py

iSecloud/bk-process-config-manager

f44c01b7a28dd9328cce6e6066eae42d5365070d

[ "MIT" ]

12

2021-07-09T08:59:01.000Z

2022-03-08T13:40:41.000Z

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸 (Blueking) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at https://opensource.org/licenses/MIT 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. """ from apps.gsekit.configfile import admin as configfile_admin from apps.gsekit.process import admin as process_admin from apps.gsekit.job import admin as job_admin from apps.gsekit.meta import admin as meta_admin __all__ = ["configfile_admin", "process_admin", "job_admin", "meta_admin"] try: from apps.gsekit.migrate import admin as migrate_admin # noqa except ImportError: pass else: __all__.append("migrate_admin") try: from apps.gsekit.adapters.bscp import admin as bscp_admin # noqa except ImportError: pass else: __all__.append("bscp_admin")

39.875

115

0.776646

194

1,276

4.984536

0.505155

0.062048

0.086867

0.058945

0.134436

0.088935

0

0.010195

0.154389

1,276

31

116

41.16129

0.886006

0.547806

0

0.470588

0

0.12522

0

1

0

false

0.117647

0.470588

0

0.470588

0

null

0

null

0

1

0

2

568fbabab11c92333a7f2b9aac0fe6461e379248

449

py

Python

Intensivo-Python/Cap-7/Exer-Cap-7.10.py

RodrigoTAbreu/Python-3

9bf0578c1ed52283c8d8516a9052557bde038947

[ "MIT" ]

null

Intensivo-Python/Cap-7/Exer-Cap-7.10.py

RodrigoTAbreu/Python-3

9bf0578c1ed52283c8d8516a9052557bde038947

[ "MIT" ]

null

Intensivo-Python/Cap-7/Exer-Cap-7.10.py

RodrigoTAbreu/Python-3

9bf0578c1ed52283c8d8516a9052557bde038947

[ "MIT" ]

null

local = {} incluir = True while incluir: nome = input('qual seu nome? :') local_escolhido = input('Qual local de suas próximas férias? :') local[nome] = local_escolhido repetir = input('Gostaria de incluir outro na enquete?(Yes/No):') if repetir == 'no': incluir = False print('Resultados da Enquete') for nome, local_escolhido in local.items(): print('{} vai passar as férias em {}'.format(nome, local_escolhido))

29.933333

72

0.665924

59

449

5

0.559322

0.122034

0.244068

0

0.202673

449

14

73

32.071429

0.824022

0

0.336303

0

1

0

false

0.083333

0

0.166667

0

null

0

1

0

null

0

1

0

2

569169ad848535e2faa15e35b1462c29898e6bd8

168

py

Python

examples/loopyfunction.py

j00st/larry

9ab8b28a4870b78fa91d2989971e7334e8433cbf

[ "MIT" ]

null

examples/loopyfunction.py

j00st/larry

9ab8b28a4870b78fa91d2989971e7334e8433cbf

[ "MIT" ]

null

examples/loopyfunction.py

j00st/larry

9ab8b28a4870b78fa91d2989971e7334e8433cbf

[ "MIT" ]

null

def sommig(n): result = 0 while(n>=1): result += n n-=1 return result print(sommig(3)) print(sommig(8)) print(sommig(17)) print(sommig(33))

15.272727

19

0.565476

26

168

3.653846

0.5

0.463158

0

0.072581

0.261905

168

11

20

15.272727

0.693548

0

1

0.1

false

0

0.2

0.4

1

0

null

1

0

null

0

2

5697cd974f29d6e18eee5667af6ba721d9b34b38

159

py

Python

CursoemVideo/ex006.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CursoemVideo/ex006.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CursoemVideo/ex006.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

numero = int(input('Número: ')) dobro = numero*2 triplo = numero*3 raiz = numero**(1/2) print(f'Dobro: {dobro}, Triplo: {triplo}, Raiz quadrada: {raiz:.2f}')

22.714286

69

0.647799

24

159

4.291667

0.583333

0

0.036232

0.132075

159

6

70

26.5

0.710145

0

0.421384

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

569a457d8dd99941191d9661b2fbcf1d45459de3

4,509

py

Python

river/optim/base.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

1,105

2019-01-24T15:15:30.000Z

2020-11-10T18:27:00.000Z

river/optim/base.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

328

2019-01-25T13:48:43.000Z

2020-11-11T11:41:44.000Z

river/optim/base.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

150

2019-01-29T19:05:21.000Z

2020-11-11T11:50:14.000Z

import abc import numbers from typing import Union import numpy as np from river import base, optim, utils VectorLike = Union[utils.VectorDict, np.ndarray] __all__ = ["Initializer", "Scheduler", "Optimizer", "Loss"] class Initializer(base.Base, abc.ABC): """An initializer is used to set initial weights in a model.""" @abc.abstractmethod def __call__(self, shape=1): """Returns a fresh set of weights. Parameters ---------- shape Indicates how many weights to return. If `1`, then a single scalar value will be returned. """ class Scheduler(base.Base, abc.ABC): """Can be used to program the learning rate schedule of an `optim.base.Optimizer`.""" @abc.abstractmethod def get(self, t: int) -> float: """Returns the learning rate at a given iteration. Parameters ---------- t The iteration number. """ def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Optimizer(base.Base): """Optimizer interface. Every optimizer inherits from this base interface. Parameters ---------- lr Attributes ---------- learning_rate : float Returns the current learning rate value. """ def __init__(self, lr: Union[Scheduler, float]): if isinstance(lr, numbers.Number): lr = optim.schedulers.Constant(lr) self.lr = lr self.n_iterations = 0 @property def learning_rate(self) -> float: return self.lr.get(self.n_iterations) def look_ahead(self, w: dict) -> dict: """Updates a weight vector before a prediction is made. Parameters: w (dict): A dictionary of weight parameters. The weights are modified in-place. Returns: The updated weights. """ return w def _step_with_dict(self, w: dict, g: dict) -> dict: raise NotImplementedError def _step_with_vector(self, w: VectorLike, g: VectorLike) -> VectorLike: raise NotImplementedError def step( self, w: Union[dict, VectorLike], g: Union[dict, VectorLike] ) -> Union[dict, VectorLike]: """Updates a weight vector given a gradient. Parameters ---------- w A vector-like object containing weights. The weights are modified in-place. g A vector-like object of gradients. Returns ------- The updated weights. """ if isinstance(w, VectorLike.__args__) and isinstance(g, VectorLike.__args__): try: w = self._step_with_vector(w, g) self.n_iterations += 1 return w except NotImplementedError: pass w = self._step_with_dict(w, g) self.n_iterations += 1 return w def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Loss(base.Base, abc.ABC): """Base class for all loss functions.""" def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" @abc.abstractmethod def __call__(self, y_true, y_pred): """Returns the loss. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The loss(es). """ @abc.abstractmethod def gradient(self, y_true, y_pred): """Return the gradient with respect to y_pred. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The gradient(s). """ @abc.abstractmethod def mean_func(self, y_pred): """Mean function. This is the inverse of the link function. Typically, a loss function takes as input the raw output of a model. In the case of classification, the raw output would be logits. The mean function can be used to convert the raw output into a value that makes sense to the user, such as a probability. Parameters ---------- y_pred Raw prediction(s). Returns ------- The adjusted prediction(s). References ---------- [^1]: [Wikipedia section on link and mean function](https://www.wikiwand.com/en/Generalized_linear_model#/Link_function) """

23.731579

128

0.569528

521

4,509

4.74856

0.309021

0.032336

0.04042

0.016977

0.169361

0.137025

0.11439

0.094179

0

0.001956

0.319583

4,509

189

129

23.857143

0.804433

0.413839

0

0.333333

0

0.073278

0.057157

0

1

0.259259

false

0.018519

0.092593

0.074074

0.555556

0

null

0

null

0

1

0

1

0

2

569f8079d548bf4d08ebe4449569ea28cde1fcb4

5,434

py

Python

haros_plugin_pbt_gen/selectors.py

git-afsantos/haros-plugin-pbt

388c990117f357fa2079be48918fd3486c895597

[ "MIT" ]

null

haros_plugin_pbt_gen/selectors.py

git-afsantos/haros-plugin-pbt

388c990117f357fa2079be48918fd3486c895597

[ "MIT" ]

6

2019-10-23T08:13:32.000Z

2020-02-11T18:58:26.000Z

haros_plugin_pbt_gen/selectors.py

git-afsantos/haros-plugin-pbt

388c990117f357fa2079be48918fd3486c895597

[ "MIT" ]

null

# -*- coding: utf-8 -*- # SPDX-License-Identifier: MIT # Copyright © 2019 André Santos ############################################################################### # Imports ############################################################################### from builtins import map from builtins import object from builtins import range # Python 2 and 3: forward-compatible ############################################################################### # Field Selector ############################################################################### class Accessor(object): __slots__ = ("field_name", "ros_type") def __init__(self, field_name, type_token): self.field_name = field_name self.ros_type = type_token @property def is_dynamic(self): return False @property def is_range(self): return False def matches(self, field_name): return self.field_name == field_name def __str__(self): return self.field_name def __repr__(self): return "{}({}, {})".format( type(self).__name__, self.field_name, repr(self.ros_type)) class RangeAccessor(Accessor): __slots__ = Accessor.__slots__ def __init__(self, field_name, type_token): raise NotImplementedError() @property def is_range(self): return True class DynamicAccessor(Accessor): __slots__ = Accessor.__slots__ + ("predicate",) def __init__(self, field_name, type_token): assert not type_token.is_array Accessor.__init__(self, field_name, type_token) self.predicate = self._make_predicate(field_name) @property def is_dynamic(self): return True def matches(self, key): return self.predicate(key) def _make_predicate(self, field_name): assert field_name.startswith("*") if field_name == "*": return _universal star, indices = field_name.split("\\") indices = list(map(int, indices.split(","))) return self._all_except(indices) def _all_except(self, indices): def predicate(key): return key not in indices return predicate class Selector(object): __slots__ = ("expression", "base_type", "accessors") _DYNAMIC = "*" def __init__(self, field_expr, ros_type): self.expression = field_expr self.base_type = ros_type accessors = [] parts = field_expr.replace("]", "").replace("[", ".").split(".") if not parts: raise ValueError(field_expr) type_token = ros_type for field_name in parts: if type_token.is_array: accessor = self._array_access(field_name, type_token) type_token = accessor.ros_type accessors.append(accessor) elif not type_token.is_primitive: type_token = type_token.fields[field_name] accessor = Accessor(field_name, type_token) accessors.append(accessor) else: raise KeyError(field_name) self.accessors = tuple(accessors) @property def field_name(self): return self.accessors[-1].field_name @property def ros_type(self): return self.accessors[-1].ros_type @property def is_dynamic(self): for accessor in self.accessors: if accessor.is_dynamic: return True return False @property def is_array_field(self): return (len(self.accessors) >= 2 and self.accessors[-2].ros_type.is_array) def subselect(self, n): if n <= 0: raise IndexError(n) if n >= len(self.accessors): return self parts = [self.accessors[0].field_name] array = self.accessors[0].ros_type.is_array for i in range(1, n): f = self.accessors[i] if array: parts.append("[") parts.append(f.field_name) parts.append("]") else: parts.append(".") parts.append(f.field_name) array = f.ros_type.is_array selector = Selector("".join(parts), self.base_type) return selector def _array_access(self, field_name, array_type): if field_name.startswith(self._DYNAMIC): return DynamicAccessor(field_name, array_type.type_token) try: index = int(field_name, 10) except ValueError as e: raise KeyError(field_name) if not array_type.contains_index(index): raise KeyError(field_name) return Accessor(field_name, array_type.type_token) def __iter__(self): return iter(self.accessors) def __eq__(self, other): if not isinstance(other, Selector): return False return (self.expression == other.expression and self.base_type == other.base_type) def __hash__(self): return 31 * hash(self.expression) + hash(self.base_type) def __str__(self): return self.expression def __repr__(self): return "Selector({}, {})".format(self.expression, repr(self.base_type)) ############################################################################### # Predicates ############################################################################### def _universal(key): return True

29.058824

79

0.552079

577

5,434

4.882149

0.183709

0.108626

0.050763

0.038339

0.207313

0.126021

0.065673

0

0.004788

0.269783

5,434

186

80

29.215054

0.704889

0.02742

0

0.278195

0

0.019571

0

0.015038

1

0.203008

false

0

0.022556

0.12782

0.503759

0

null

0

null

0

1

0

1

0

2

3b23404ad012614ddf55740308271ae89117500e

1,835

py

Python

positionEncoding.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

1

2021-04-08T11:23:46.000Z

positionEncoding.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

null

positionEncoding.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

null

from treeNode import TreeNode from collections import defaultdict from treeNodeTravelThrewTreeNodes import TravelThrewTreeNodes # In positionEncoding wird die Zugehörigkeit der Ecodierung zu ihrem Wert festgelegt. # Dieser Wert entspricht der Position des Buchstabens der nächsten Zeile. positionEncoding = defaultdict(list, { '0': ['1000001', '1011111'], '1': ['1000010', '1100000'], '2': ['1000011', '1100001'], '3': ['1000100', '1100010'], '4': ['1000101', '1100011'], '5': ['1000110', '1100100'], '6': ['1000111', '1100101'], '7': ['1001000', '1100110'], '8': ['1001001', '1100111'], '9': ['1001010', '1101000'], '10': ['1001011', '1101001'], '11': ['1001100', '1101010'], '12': ['1001101', '1101011'], '13': ['1001110', '1101100'], '14': ['1001111', '1101101'], '15': ['1010000', '1101110'], '16': ['1010001', '1101111'], '17': ['1010010', '1110000'], '18': ['1010011', '1110001'], '19': ['1010100', '1110010'], '20': ['1010101', '1110011'], '21': ['1010110', '1110100'], '22': ['1010111', '1110101'], '23': ['1011000', '1110110'], '24': ['1011001', '1110111'], '25': ['1011010', '1111000'], '26': ['1011011', '1111001'], '27': ['1011100', '1111010'], '28': ['1011101', '1111011'], '29': ['1011110', '1111100'] }) # Erstellung des Ursprungsobjektes des Baums rootTreeNode = TreeNode() # Hinzufügen aller Äste des Baums, um am Ende dieser die Position zu speichern. for position, possibleEncodings in positionEncoding.items(): # Iteration über jede Kodierungsmöglichkeit for encoding in possibleEncodings: TravelThrewTreeNodes(rootTreeNode, encoding, position) def GetRootTreeNode(): global rootTreeNode return rootTreeNode

32.767857

86

0.595095

170

1,835

6.423529

0.817647

0.032967

0

0.323691

0.208719

1,835

55

87

33.363636

0.428375

0.173297

0

0.322802

0

1

0.02381

false

0

0.071429

0

0.119048

0

null

0

1

0

1

0

null

0

2

3b275a2ff20e3730ac6fbbf5f863ef39cb1f2363

1,227

py

Python

revenue/utils/date_utils.py

osnory/BE-Challenge

bd8a3bcfc72624e99a228612a75f092371c1fb29

[ "MIT" ]

null

revenue/utils/date_utils.py

osnory/BE-Challenge

bd8a3bcfc72624e99a228612a75f092371c1fb29

[ "MIT" ]

null

revenue/utils/date_utils.py

osnory/BE-Challenge

bd8a3bcfc72624e99a228612a75f092371c1fb29

[ "MIT" ]

null

import datetime from datetime import datetime as dt API_DATE_FORMAT = "%d/%m/%Y" CSV_DATE_FORMAT = "%d/%m/%y %H:%M" def from_api_string(date: str): """ :param date: in format as comes from api, such as 03/06/2020 :return: datetime object. """ return dt.strptime(date, API_DATE_FORMAT) def from_csv_format(date: str): """ :param date: in DATE_FORMAT format, such as 03/06/2020 :return: datetime object. """ return dt.strptime(date, CSV_DATE_FORMAT) def to_string(date: dt): """ converts date to string :param date: to conver :return: into DATE_FORMAT format, such as 03/06/2020 """ return date.strftime(API_DATE_FORMAT) def get_day_range(start: dt, end: dt): """ Helper function to return all dates in between two dates :param start: day to start from (incl) :param end: day to end on (incl) :return: inclusive dates for the range between start and end """ return [start + datetime.timedelta(days=i) for i in range((end - start).days + 1)] def date_to_key(d: dt): """ :param d: date object :return: string key from the day, month and year """ return "{}/{}/{}".format(d.day, d.month, d.year)

22.722222

86

0.640587

190

1,227

4.026316

0.289474

0.091503

0.05098

0.039216

0.290196

0.20915

0.141176

0

0.026652

0.235534

1,227

53

87

23.150943

0.788913

0.431133

0

0.051813

0

1

0.357143

false

0

0.142857

0

0.857143

0

null

0

null

0

1

0

1

0

2

3b302bae18a10ec14b7a8b3b8cfb72b6ca62106b

771

py

Python

argentum-api/api/tests/data/configs.py

devium/argentum

2bbb0f663fe9be78d106b1afa409b094da449519

[ "MIT" ]

1

2019-10-07T09:47:08.000Z

argentum-api/api/tests/data/configs.py

devium/argentum

2bbb0f663fe9be78d106b1afa409b094da449519

[ "MIT" ]

null

argentum-api/api/tests/data/configs.py

devium/argentum

2bbb0f663fe9be78d106b1afa409b094da449519

[ "MIT" ]

null

from api.models.config import Config from api.tests.utils.test_objects import TestObjects class TestConfigs(TestObjects): MODEL = Config POSTPAID_LIMIT: MODEL POSTPAID_LIMIT_PATCHED: MODEL @classmethod def init(cls): # These models are created in the initial Django signal, not from this data. These are just for easy handling. cls.POSTPAID_LIMIT = cls.MODEL(id=10010, key='postpaid_limit', value='0.00') cls.SAVED = [cls.POSTPAID_LIMIT] cls.POSTPAID_LIMIT_PATCHED = cls.MODEL(id=10011, key='postpaid_limit', value='-10.00') cls.UNSAVED = [cls.POSTPAID_LIMIT_PATCHED] @classmethod def create(cls): TestConfigs.POSTPAID_LIMIT.id = Config.objects.get(key=TestConfigs.POSTPAID_LIMIT.key).id

32.125

118

0.714656

104

771

5.163462

0.451923

0.242086

0.119181

0.070764

0

0.027157

0.188067

771

23

119

33.521739

0.830671

0.140078

0

0.133333

0

0.057489

0

1

0.133333

false

0

0.133333

0

0.533333

0

null

1

0

null

0

1

0

2

3b35b0560293592911b399dcbbc67e0ebbbf2568

3,505

py

Python

FatherSon/HelloWorld2_source_code/Listing_23-11.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

1

2019-01-04T05:47:50.000Z

FatherSon/HelloWorld2_source_code/Listing_23-11.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

null

FatherSon/HelloWorld2_source_code/Listing_23-11.py

axetang/AxePython

3b517fa3123ce2e939680ad1ae14f7e602d446a6

[ "Apache-2.0" ]

null

# Listing_23-11.py # Copyright Warren & Csrter Sande, 2013 # Released under MIT license http://www.opensource.org/licenses/mit-license.php # Version $version ---------------------------- # Crazy Eights - the main loop with scoring added # Note that this is not a complete program. It needs to be put together # with the other parts of Crazy Eights to make a working program. done = False p_total = c_total = 0 while not done: game_done = False blocked = 0 init_cards() # set up deck and create player's and computer's hands while not game_done: player_turn() if len(p_hand) == 0: # player won game_done = True print print "You won!" # display game score here p_points = 0 for card in c_hand: p_points += card.value # add up points from computer's remaining cards p_total += p_points # add points from this game to the total print"You got %i points for computer's hand" % p_points if not game_done: computer_turn() if len(c_hand) == 0: # computer won game_done = True print print "Computer won!" # display game score here c_points = 0 for card in p_hand: c_points += card.value # add up points from player's remaining cards c_total += c_points # add points from this game to the total print"Computer got %i points for your hand" % c_points if blocked >= 2: # both player and computer blocked, so both get points game_done = True print "Both players blocked. GAME OVER." player_points = 0 for card in c_hand: p_points += card.value p_total += p_points c_points = 0 for card in p_hand: c_points += card.value c_total += c_points # print points for this game print"You got %i points for computer's hand" % p_points print"Computer got %i points for your hand" % c_points play_again = raw_input("Play again (Y/N)? ") if play_again.lower().startswith('y'): done = False # print total points so far print "\nSo far, you have %i points" % p_total print "and the computer has %i points.\n" % c_total else: done = True # print final totals print "\n Final Score:" print "You: %i Computer: %i" % (p_total, c_total)

52.313433

131

0.417404

356

3,505

3.983146

0.308989

0.039492

0.036671

0.039492

0.362482

0.330042

0.294781

0.273625

0

0.010204

0.524679

3,505

66

132

53.106061

0.840936

0.292725

0

0.5

0

0.134034

0

null

0

null

0.26

0

null

0

1

0

null

0

1

0

2

3b3bc432d990ad451477e385dce0ed17ba1791fc

3,103

py

Python

urls.py

audaciouscode/PassiveDataKit-Django

ed1e00c436801b9f49a3e0e6657c2adb6b2ba3d4

[ "Apache-2.0" ]

5

2016-01-26T19:19:44.000Z

2018-12-12T18:04:04.000Z

urls.py

audacious-software/PassiveDataKit-Django

da91a375c075ceec938f2c9bb6b011f9f019b024

[ "Apache-2.0" ]

6

2020-02-17T20:16:28.000Z

2021-12-13T21:51:20.000Z

urls.py

audacious-software/PassiveDataKit-Django

da91a375c075ceec938f2c9bb6b011f9f019b024

[ "Apache-2.0" ]

4

2020-01-29T15:36:58.000Z

2021-06-01T18:55:26.000Z

# pylint: disable=line-too-long from django.conf.urls import url from django.contrib.auth.views import LogoutView from django.conf import settings from .views import pdk_add_data_point, pdk_add_data_bundle, pdk_app_config, pdk_issues, \ pdk_issues_json, pdk_fetch_metadata_json urlpatterns = [ url(r'^add-point.json$', pdk_add_data_point, name='pdk_add_data_point'), url(r'^add-bundle.json$', pdk_add_data_bundle, name='pdk_add_data_bundle'), url(r'^app-config.json$', pdk_app_config, name='pdk_app_config'), ] try: from .withings_views import pdk_withings_start, pdk_withings_auth if settings.PDK_WITHINGS_CLIENT_ID and settings.PDK_WITHINGS_SECRET: urlpatterns.append(url(r'^withings/start/(?P<source_id>.+)$', pdk_withings_start, name='pdk_withings_start')) urlpatterns.append(url(r'^withings/auth$', pdk_withings_auth, name='pdk_withings_auth')) except AttributeError: pass try: if settings.PDK_DASHBOARD_ENABLED: from .views import pdk_home, pdk_unmatched_sources, pdk_source, pdk_source_generator, \ pdk_visualization_data, pdk_export, pdk_download_report, \ pdk_system_health, pdk_profile urlpatterns.append(url(r'^visualization/(?P<source_id>.+)/(?P<generator_id>.+)/(?P<page>\d+).json$', \ pdk_visualization_data, name='pdk_visualization_data')) urlpatterns.append(url(r'^report/(?P<report_id>\d+)/download$', pdk_download_report, name='pdk_download_report')) urlpatterns.append(url(r'^source/(?P<source_id>.+)/(?P<generator_id>.+)$', pdk_source_generator, name='pdk_source_generator')) urlpatterns.append(url(r'^source/(?P<source_id>.+)$', pdk_source, name='pdk_source')) urlpatterns.append(url(r'^export$', pdk_export, name='pdk_export')) urlpatterns.append(url(r'^system-health$', pdk_system_health, name='pdk_system_health')) urlpatterns.append(url(r'^profile$', pdk_profile, name='pdk_profile')) urlpatterns.append(url(r'^fetch-metadata.json$', pdk_fetch_metadata_json, name='pdk_fetch_metadata_json')) urlpatterns.append(url(r'^issues.json$', pdk_issues_json, name='pdk_issues_json')) urlpatterns.append(url(r'^issues$', pdk_issues, name='pdk_issues')) urlpatterns.append(url(r'^unmatched-sources.json$', pdk_unmatched_sources, name='pdk_unmatched_sources')) urlpatterns.append(url(r'^logout$', LogoutView.as_view(), name='pdk_logout')) urlpatterns.append(url(r'^$', pdk_home, name='pdk_home')) except AttributeError: pass try: if settings.PDK_API_ENABLED: from .api_views import pdk_request_token, pdk_data_point_query, pdk_data_source_query urlpatterns.append(url(r'^api/request-token.json$', pdk_request_token, name='pdk_request_token')) urlpatterns.append(url(r'^api/data-points.json$', pdk_data_point_query, name='pdk_data_point_query')) urlpatterns.append(url(r'^api/data-sources.json$', pdk_data_source_query, name='pdk_data_source_query')) except AttributeError: pass

55.410714

134

0.716081

425

3,103

4.898824

0.157647

0.040346

0.172911

0.181556

0.255524

0.191643

0.073007

0.034582

0

0.145021

3,103

55

135

56.418182

0.784772

0.009346

0

0.195652

0

0.259766

0.135742

0

1

0

false

0.065217

0.152174

0

0.152174

0

null

0

1

0

null

0

1

0

2

3b48b6b797f56fc6a1d2416f53d86ebe58909abf

974

py

Python

aboutme/migrations/0001_initial.py

tharindubasnnayaka/MyWebApp

b9f9adae5df01f495a459eeee1083288ba568be9

[ "MIT" ]

2

2018-06-22T22:31:55.000Z

2018-10-09T17:14:35.000Z

aboutme/migrations/0001_initial.py

tharindubasnnayaka/MyWebApp

b9f9adae5df01f495a459eeee1083288ba568be9

[ "MIT" ]

7

2018-10-04T18:56:33.000Z

2020-10-11T18:03:22.000Z

aboutme/migrations/0001_initial.py

tharindubasnnayaka/MyWebApp

b9f9adae5df01f495a459eeee1083288ba568be9

[ "MIT" ]

17

2018-10-04T19:09:44.000Z

2022-03-17T10:27:28.000Z

# Generated by Django 2.1a1 on 2018-07-30 18:50 import aboutme.models from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Me', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('title', models.CharField(max_length=500)), ('location', models.CharField(max_length=250)), ('bio', models.TextField()), ('tags', models.TextField(default="''")), ('work', models.CharField(max_length=500)), ('education', models.CharField(max_length=500)), ('profileimage', models.ImageField(blank=True, null=True, upload_to=aboutme.models.get_image_path)), ], ), ]

32.466667

116

0.572895

98

974

5.581633

0.602041

0.137112

0.164534

0.219378

0.14808

0

0.043103

0.285421

974

29

117

33.586207

0.742816

0.046201

0

1

0

0.061489

0

1

0

false

0

0.090909

0

0.272727

0

null

0

1

0

1

0

null

0

2

3b5052d4ea1e103c62f23657a9f8a91d6cc99d36

6,756

py

Python

src/dbn_samples.py

jamesrobertlloyd/kmc-research

291c39a3766c2d06c561044173b582cb251eb85e

[ "MIT" ]

9

2016-01-17T13:14:11.000Z

2020-09-21T20:19:34.000Z

src/dbn_samples.py

jamesrobertlloyd/kmc-research

291c39a3766c2d06c561044173b582cb251eb85e

[ "MIT" ]

null

src/dbn_samples.py

jamesrobertlloyd/kmc-research

291c39a3766c2d06c561044173b582cb251eb85e

[ "MIT" ]

5

2015-09-08T14:56:00.000Z

2019-09-10T19:33:07.000Z

""" Generate and save samples from a dbn trained on mnist Created Decemeber 2013 @authors: James Robert Lloyd (jrl44@cam.ac.uk) """ import numpy as np import matplotlib.pyplot as plt import itertools import os.path import cloud from deep_learning.rbm_label import train_rbm from deep_learning.logistic_sgd import load_data def train_and_sample_from_dbn(random_seed=1, dataset='bucket/mnist.pkl.gz', epochs=15, architecture=[500,500,2000], samples=1, plot_every=1000): # Setup rbms = [] original_dataset='bucket/mnist.pkl.gz' # Pretraining loop for (i, n_hidden) in enumerate(architecture): # Train print 'Training rbm %d' % (i+1) (rbm, train_set_x, train_set_y, test_set_x, test_set_y) = train_rbm(learning_rate=0.1, training_epochs=epochs, n_hidden=n_hidden, dataset=dataset, random_seed=random_seed, augment_with_labels=(i==len(architecture)-1)) rbms.append(rbm) if i < len(architecture) - 1: print 'Passing data through rbm %d' % (i+1) # Pass data through rbm # First reload data to get correct object types datasets = load_data(original_dataset) pseudo_train_set_x, pseudo_train_set_y = datasets[0] pseudo_test_set_x, pseudo_test_set_y = datasets[2] x_train_array = train_set_x.get_value() x_test_array = test_set_x.get_value() pseudo_x_train_array = np.zeros((x_train_array.shape[0], architecture[0])) pseudo_x_test_array = np.zeros((x_test_array.shape[0], architecture[0])) W = rbm.W.get_value() bias = np.tile(rbm.hbias.get_value(), (x_train_array.shape[0],1)) #### TODO - should I be using mean activations or random activations? #### Currently using mean activations print 'Computing training features' pre_sigmoid_activation = np.dot(x_train_array, W) + bias hid_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) pseudo_x_train_array = hid_prob bias = np.tile(rbm.hbias.get_value(), (x_test_array.shape[0],1)) print 'Computing testing features' pre_sigmoid_activation = np.dot(x_test_array, W) + bias hid_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) pseudo_x_test_array = hid_prob pseudo_train_set_x.set_value(pseudo_x_train_array) pseudo_test_set_x.set_value(pseudo_x_test_array) dataset = (pseudo_train_set_x, pseudo_train_set_y, pseudo_test_set_x, pseudo_test_set_y) print 'Pretraining complete' # Reload original data datasets = load_data(original_dataset) train_set_x, train_set_y = datasets[0] test_set_x, test_set_y = datasets[2] # Sampling rng = np.random.RandomState(random_seed) images = np.zeros((0,28*28)) labels = np.zeros((0,1)) number_of_train_samples = train_set_x.get_value(borrow=True).shape[0] count = 0 print 'Sampling images' while count < samples: # Pick random test example, with which to initialize the persistent chain train_idx = rng.randint(number_of_train_samples - 1) starting_image = np.asarray(train_set_x.get_value(borrow=True)[train_idx:train_idx+1]) vis = starting_image # Propogate image up the rbms for rbm in rbms[:-1]: pre_sigmoid_activation = np.dot(vis, rbm.W.get_value()) + rbm.hbias.get_value() hid_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) vis = (hid_prob > np.random.rand(hid_prob.shape[0], hid_prob.shape[1])) * 1 # Append label y_list = train_set_y.owner.inputs[0].get_value() y_ind = np.zeros((1, 10)) y_ind[0,y_list[train_idx]] = 1 vis = np.hstack((vis, y_ind)) W = rbms[-1].W.get_value() h_bias = rbms[-1].hbias.get_value() v_bias = rbms[-1].vbias.get_value() # Gibbs sample in the autoassociative memory for dummy in range(plot_every): pre_sigmoid_activation = np.dot(vis, W) + h_bias hid_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) hid = (hid_prob > np.random.rand(hid_prob.shape[0], hid_prob.shape[1])) * 1 pre_sigmoid_activation = np.dot(hid, W.T) + v_bias vis_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) vis = (vis_prob > np.random.rand(vis_prob.shape[0], vis.shape[1])) * 1 # Clamp vis[0,-10:] = y_ind # Propogate the image down the rbms vis = vis[:,:-10] for rbm in reversed(rbms[:-1]): pre_sigmoid_activation = np.dot(vis, rbm.W.get_value().T) + rbm.vbias.get_value() vis_prob = 1 / (1 + np.exp(-pre_sigmoid_activation)) vis = (vis_prob > np.random.rand(vis_prob.shape[0], vis_prob.shape[1])) * 1 vis_image = vis_prob images = np.vstack((images, vis_image)) labels = np.vstack((labels, y_list[train_idx])) np.savetxt('images.csv', images, delimiter=',') np.savetxt('labels.csv', labels, delimiter=',') count += 1 print 'Sampled %d images' % count return (rbms, images, labels) def train_and_sample(random_seed): (rbms, images, labels) = train_and_sample_from_dbn(random_seed=random_seed) return (images, labels) def main(n_rbms=5, save_folder='../data/mnist/many-rbm-samples/default', cloud_simulation=True): pass execfile('picloud_misc_credentials.py') if cloud_simulation: cloud.start_simulator() if not os.path.isdir(save_folder): os.makedirs(save_folder) seeds = [np.random.randint(2**31) for dummy in range(n_rbms)] print 'Sending jobs' job_ids = cloud.map(train_and_sample, seeds, _type='f2', _cores=1) print 'Jobs sent' images = np.zeros((0,28*28)) labels = np.zeros((0,1)) count = 1 for (some_images, some_labels) in cloud.iresult(job_ids): print 'Job %d of %d complete' % (count, n_rbms) count += 1 images = np.vstack((images, some_images)) labels = np.vstack((labels, some_labels)) np.savetxt(os.path.join(save_folder, 'images.csv'), images, delimiter=',') np.savetxt(os.path.join(save_folder, 'labels.csv'), labels, delimiter=',') return (images, labels)

42.490566

121

0.600503

921

6,756

4.14658

0.222584

0.031422

0.062844

0.034564

0.391987

0.317099

0.260539

0.197172

0.168369

0.139303

0

0.022671

0.288336

6,756

159

122

42.490566

0.771631

0.062167

0

0.136752

1

0

0.054675

0.010514

0

0.006289

0

null

0.017094

0.059829

null

0.08547

0

null

0

1

0

null

0

1

0

2

3b60ef8e91e7392daee62726820909fae0e9778a

2,345

py

Python

erica/api/v2/endpoints/tax.py

digitalservice4germany/erica

7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2

[ "MIT" ]

3

2022-01-31T15:17:17.000Z

2022-03-01T16:15:47.000Z

erica/api/v2/endpoints/tax.py

digitalservice4germany/erica

7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2

[ "MIT" ]

59

2022-01-31T14:04:20.000Z

2022-03-31T20:08:47.000Z

erica/api/v2/endpoints/tax.py

digitalservice4germany/erica

7e07d88f3db78ab6e4f7cccad8dfef2a4b3a71b2

[ "MIT" ]

1

2022-03-10T09:24:28.000Z

from uuid import UUID from fastapi import status, APIRouter from starlette.requests import Request from starlette.responses import FileResponse, RedirectResponse from erica.api.v2.responses.model import response_model_get_tax_number_validity_from_queue, response_model_post_to_queue from erica.application.JobService.job_service_factory import get_job_service from erica.application.Shared.service_injector import get_service from erica.application.tax_number_validation.TaxNumberValidityService import TaxNumberValidityServiceInterface from erica.application.tax_number_validation.check_tax_number_dto import CheckTaxNumberDto from erica.domain.Shared.EricaRequest import RequestType router = APIRouter() @router.post('/tax_number_validity', status_code=status.HTTP_201_CREATED, responses=response_model_post_to_queue) async def is_valid_tax_number(tax_validity_client_identifier: CheckTaxNumberDto, request: Request): """ Route for validation of a tax number using the job queue. :param request: API request object. :param tax_validity_client_identifier: payload with client identifier and the JSON input data for the tax number validity check. """ result = get_job_service(RequestType.check_tax_number).add_to_queue( tax_validity_client_identifier.payload, tax_validity_client_identifier.client_identifier, RequestType.check_tax_number) return RedirectResponse( request.url_for("get_valid_tax_number_job", request_id=str(result.request_id)).removeprefix(str(request.base_url)), status_code=201) @router.get('/tax_number_validity/{request_id}', status_code=status.HTTP_200_OK, responses=response_model_get_tax_number_validity_from_queue) async def get_valid_tax_number_job(request_id: UUID): """ Route for retrieving job status of a tax number validity from the queue. :param request_id: the id of the job. """ tax_number_validity_service: TaxNumberValidityServiceInterface = get_service(RequestType.check_tax_number) return tax_number_validity_service.get_response_tax_number_validity(request_id) @router.get('/tax_offices/', status_code=status.HTTP_200_OK) def get_tax_offices(): """ The list of tax offices for all states is requested and returned. """ return FileResponse("erica/infrastructure/static/tax_offices.json")

49.893617

132

0.816205

316

2,345

5.721519

0.265823

0.09458

0.084624

0.059735

0.298119

0.149336

0.07854

0.04646

0

0.00628

0.117271

2,345

46

133

50.978261

0.86715

0.027719

0

0.070975

0.053496

0

1

0.037037

false

0

0.37037

0

0.518519

0

null

0

null

0

1

0

1

0

2

3b753f30cfeb206f88b5f9dc2a6515035a15ef8b

7,956

py

Python

implementations/warris2018/pyPaSWAS/Core/Formatters.py

r-barnes/sw_comparison

1ac2c9cc10a32badd6b8fb1e96516c97f7800176

[ "BSD-Source-Code" ]

24

2015-09-03T13:36:10.000Z

2021-11-18T15:09:53.000Z

pyPaSWAS/Core/Formatters.py

Aaron1993/pyPaSWAS

0f1edceba2a002ef30a803cc5c5fe45587ffd2aa

[ "MIT" ]

6

2015-02-25T16:07:19.000Z

2020-02-28T08:19:25.000Z

pyPaSWAS/Core/Formatters.py

Aaron1993/pyPaSWAS

0f1edceba2a002ef30a803cc5c5fe45587ffd2aa

[ "MIT" ]

9

2017-10-31T09:55:06.000Z

2021-12-03T02:47:56.000Z

'''This module contains the output formatters for pyPaSWAS''' class DefaultFormatter(object): '''This is the default formatter for pyPasWas. All available formatters inherit from this formatter. The results are parsed into a temporary file, which can be used by the main program for permanent storage, printing etc. ''' def __init__(self, logger, hitlist, outputfile): self.name = '' self.logger = logger self.logger.debug('Initializing formatter...') self.hitlist = hitlist self.outputfile = outputfile self._set_name() self.logger.debug('Initialized {0}'.format(self.name)) def _format_hit(self, hit): '''This method may be overruled to enable other formats for printed results.''' self.logger.debug('Formatting hit {0}'.format(hit.get_seq_id())) formatted_hit = ', '.join([hit.get_seq_id(), hit.get_target_id(), str(hit.seq_location[0]), str(hit.seq_location[1]), str(hit.target_location[0]), str(hit.target_location[1]), str(hit.score), str(hit.matches), str(hit.mismatches), str(len(hit.alignment) - hit.matches - hit.mismatches), str(len(hit.alignment)), str(hit.score / len(hit.alignment)), str(hit.sequence_info.original_length), str(hit.target_info.original_length), str(hit.score / hit.sequence_info.original_length), str(hit.score / hit.target_info.original_length), str(hit.distance)]) formatted_hit = '\n'.join([formatted_hit, hit.sequence_match, hit.alignment, hit.target_match]) return formatted_hit def _set_name(self): '''Name of the formatter. Used for logging''' self.name = 'defaultformatter' def _get_hits(self): '''Returns ordered list of hits''' hits = self.hitlist.real_hits.values() return sorted(hits, key=lambda hit: (hit.get_seq_id(), hit.get_target_id(), hit.score)) def print_results(self): '''sets, formats and prints the results to a file.''' self.logger.debug('printing results...') output = open(self.outputfile, 'w') for hit in self._get_hits(): formatted_hit = self._format_hit(hit) output.write(formatted_hit + "\n") self.logger.debug('finished printing results') class SamFormatter(DefaultFormatter): '''This Formatter is used to create SAM output See http://samtools.sourceforge.net/SAM1.pdf ''' def __init__(self, logger, hitlist, outputfile): '''Since the header contains information about the target sequences and must be present before alignment lines, formatted lines are stored before printing. ''' DefaultFormatter.__init__(self, logger, hitlist, outputfile) self.sq_lines = {} self.record_lines = [] def _set_name(self): '''Name of the formatter. Used for logging''' self.name = 'SAM formatter' def _format_hit(self, hit): '''Adds a header line to self.sq_lines and an alignment line to self.record_lines. The following mappings are used for header lines: SN: hit.get_target_id() LN: hit.full_target.original_length ''' self.logger.debug('Formatting hit {0}'.format(hit.get_seq_id())) #add a header line for the target id if not already present if hit.get_target_id() not in self.sq_lines: if hit.get_target_id()[-2:] != 'RC': self.sq_lines[hit.get_target_id()] = hit.get_sam_sq() else: self.sq_lines[hit.get_target_id()[:-3]] = hit.get_sam_sq() #add a line for the hit self.record_lines.append(hit.get_sam_line()) def print_results(self): '''sets, formats and prints the results to a file.''' self.logger.info('formatting results...') #format header and hit lines for hit in self._get_hits(): self._format_hit(hit) self.logger.debug('printing results...') output = open(self.outputfile, 'w') #write the header lines to the file header_string = '@HD\tVN:1.4\tSO:unknown' output.write(header_string + '\n') for header_line in self.sq_lines: output.write(self.sq_lines[header_line] + '\n') #program information header line output.write('@PG\tID:0\tPN:paswas\tVN:3.0\n') #write the hit lines to the output file for line in self.record_lines: output.write(line + '\n') output.close() self.logger.debug('finished printing results') class TrimmerFormatter(DefaultFormatter): '''This Formatter is used to create SAM output See http://samtools.sourceforge.net/SAM1.pdf ''' def __init__(self, logger, hitlist, outputfile): '''Since the header contains information about the target sequences and must be present before alignment lines, formatted lines are stored before printing. ''' DefaultFormatter.__init__(self, logger, hitlist, outputfile) self.sq_lines = {} self.record_lines = [] def _set_name(self): '''Name of the formatter. Used for logging''' self.name = 'SAM formatter' def _format_hit(self, hit): '''Adds a header line to self.sq_lines and an alignment line to self.record_lines. The following mappings are used for header lines: SN: hit.get_target_id() LN: hit.full_target.original_length ''' self.logger.debug('Formatting hit {0}'.format(hit.get_seq_id())) self.record_lines.append(hit.get_trimmed_line()) def print_results(self): '''sets, formats and prints the results to a file.''' self.logger.info('formatting results...') #format header and hit lines for hit in self._get_hits(): self._format_hit(hit) self.logger.debug('printing results...') output = open(self.outputfile, 'w') #write the hit lines to the output file for line in self.record_lines: output.write(line + '\n') output.close() self.logger.debug('finished printing results') class FASTA(DefaultFormatter): '''This Formatter is used to create FASTA output ''' def __init__(self, logger, hitlist, outputfile): '''Since the header contains information about the target sequences and must be present before alignment lines, formatted lines are stored before printing. ''' DefaultFormatter.__init__(self, logger, hitlist, outputfile) self.sq_lines = {} self.record_lines = [] def _set_name(self): '''Name of the formatter. Used for logging''' self.name = 'FASTA formatter' def _format_hit(self, hit): '''Adds a header line to self.sq_lines and an alignment line to self.record_lines. The following mappings are used for header lines: SN: hit.get_target_id() LN: hit.full_target.original_length ''' self.logger.debug('Formatting hit {0}'.format(hit.get_seq_id())) self.record_lines.append(hit.get_full_fasta()) def print_results(self): '''sets, formats and prints the results to a file.''' self.logger.info('formatting results...') #format header and hit lines for hit in self._get_hits(): self._format_hit(hit) self.logger.debug('printing results...') output = open(self.outputfile, 'w') #write the hit lines to the output file for line in self.record_lines: output.write(line + '\n') output.close() self.logger.debug('finished printing results')

40.8

125

0.618778

1,009

7,956

4.718533

0.152626

0.05251

0.044108

0.026465

0.741021

0.724008

0.693342

0.634741

0.624239

0

0.003109

0.272247

7,956

194

126

41.010309

0.819171

0.295626

0

0.607843

0

0.092264

0.010124

0

1

0.166667

false

0

0.22549

0.117647

0

null

0

1

0

1

0

null

0

2

3b867a71bab84e93ec2ed8b6bc8821e5088771cc

23,656

py

Python

anno2070/list_of_buildings.py

Aprillion/aprillion.github.io

9327d2324954e941f50c5171cbcc5bb1b69fc039

[ "MIT" ]

null

anno2070/list_of_buildings.py

Aprillion/aprillion.github.io

9327d2324954e941f50c5171cbcc5bb1b69fc039

[ "MIT" ]

null

anno2070/list_of_buildings.py

Aprillion/aprillion.github.io

9327d2324954e941f50c5171cbcc5bb1b69fc039

[ "MIT" ]

null

''' Created on 13.12.2011 @author: peter.hozak@gmail.com ''' from __future__ import division import json, re #, sys from xml.etree import ElementTree as ET __version__ = "0.3" # global settings # txt files must be changed encoding from UCS-2 to ANSI :(( xml files are ok ) folder = "C:\\Users\\Peter\\Documents\\ANNO 2070\\" assets_path = folder + "patch3data\\config\\game\\assets.xml" icons_txt_path = folder + "eng1\\loca\\eng\\txt\\icons.txt" guids_txt_path = folder + "eng1\\loca\\eng\\txt\\guids.txt" properties_path = folder + "patch3data\\config\\game\\properties.xml" icons_path = folder + "patch3data\\config\\game\\icons.xml" IconWikiaFilessource_path = folder + "wikia_icons_source.txt" IconWikiaFiles_path = folder + "wikia_icons_map.csv" output_name = "list_of_buildings_v" + __version__ + ".json" model_name = "list_of_buildings_model_v" + __version__ + ".json" model_url = "http://aprilboy.e404.sk/anno2070/" + model_name def get_building_list(): AssetGroups = ET.parse(assets_path).findall(".//Group") IconFileNames = parse_IconFileNames() IconWikiaFiles = parse_IconWikiaFiles() Eng1 = parse_Eng1() ProductGUIDs = parse_ProductGUIDs() BaseGoldPrices = parse_BaseGoldPrices() Unlocks = parse_Unlocks() buildings = [] for top_group in AssetGroups: if top_group.find("Name").text == "Buildings": break for faction in top_group.findall("Groups/Group"): faction_name = faction.find("Name").text for group in faction.findall(".//Groups/Group"): group_name = group.find("Name").text if group_name == "farmfield": group_name = "farmfields" for asset in group.findall("Assets/Asset"): try: template = asset.find("Template").text if template == "SimpleObject": # SimpleObjects (farm_field_rows and pirates_props) won't be needed in this database continue except: # scientist_academy does not have a Template, so let's ignore it ... continue GUID = int(asset.find("Values/Standard/GUID").text) Name = asset.find("Values/Standard/Name").text b = {"GUID": GUID, "Name": Name} try: b["Eng1"] = Eng1[GUID] except: pass try: b["IconFileName"] = IconFileNames[GUID] except: pass try: b["IconWikiaFile"] = IconWikiaFiles[Name] except: pass try: b["Faction"] = faction_name except: pass try: b["Group"] = group_name except: pass try: b["Template"] = template except: pass try: b["InfluenceRadius"] = int(asset.find("Values/Influence/InfluenceRadius").text) except: pass try: b[".ifo"] = asset.find("Values/Object/Variations/Item/Filename").text.replace(".cfg",".ifo").replace("data\\graphics\\buildings\\", "") except: pass try: b["MaxResidentCount"] = int(asset.find("Values/ResidenceBuilding/MaxResidentCount").text) except: pass try: (x, z) = get_BuildBlocker( b[".ifo"] ) b["BuildBlocker.x"] = x b["BuildBlocker.z"] = z except: pass try: b["FarmField.GUID"] = int(asset.find("Values/Farm/FarmFieldGUID").text) try: b["FarmField.Count"] = int(asset.find("Values/Farm/FarmfieldCount").text) except: pass try: b["FarmField.Fertility"] = asset.find("Values/Farm/Fertility").text except: pass try: # this split and join is to add "_field" to the .ifo filename farmifo = b[".ifo"].split("\\") for i in range(-2,0): f = farmifo[i].split("_") farmifo[i] = "_".join(f[0:-1] + ["field"] + [f[-1]]) farmifo = "\\".join(farmifo).replace("tycoon.ifo", "tycoons.ifo") # tycoon do not have consistend .ifo filenames for fields (x, z) = get_BuildBlocker( farmifo ) b["FarmField.BuildBlocker.x"] = x b["FarmField.BuildBlocker.z"] = z except: pass except: pass try: b["Production.Product.Name"] = asset.find("Values/WareProduction/Product").text #default values: b["Production.ProductionTime"] = 20000 #miliseconds b["Production.ProductionCount"] = 1000 #kilograms b["Production.RawNeeded1"] = 1000 b["Production.RawNeeded2"] = 1000 try: b["Production.Product.GUID"] = ProductGUIDs[ b["Production.Product.Name"] ] except: pass try: b["Production.Product.BaseGoldPrice"] = BaseGoldPrices[ b["Production.Product.Name"] ] except: pass try: b["Production.Product.Eng1"] = Eng1[ b["Production.Product.GUID"] ] except: pass try: b["Production.ProductionTime"] = int(asset.find("Values/WareProduction/ProductionTime").text) except: pass try: b["Production.ProductionCount"] = int(asset.find("Values/WareProduction/ProductionCount").text) except: pass try: b["Production.RawMaterial1"] = asset.find("Values/Factory/RawMaterial1").text except: del b["Production.RawNeeded1"] try: b["Production.RawMaterial2"] = asset.find("Values/Factory/RawMaterial2").text except: del b["Production.RawNeeded2"] try: b["Production.RawNeeded1"] = int(asset.find("Values/Factory/RawNeeded1").text) except: pass try: b["Production.RawNeeded2"] = int(asset.find("Values/Factory/RawNeeded2").text) except: pass TicksPerMinute = 60000 / b["Production.ProductionTime"] b["Production.ProductionTonsPerMinute"] = ( b["Production.ProductionCount"] / 1000 ) * TicksPerMinute try: b["Production.RawNeeded1TonsPerMinute"] = ( b["Production.RawNeeded1"] / 1000 ) * b["Production.ProductionTonsPerMinute"] except: pass try: b["Production.RawNeeded2TonsPerMinute"] = ( b["Production.RawNeeded2"] / 1000 ) * b["Production.ProductionTonsPerMinute"] except: pass except: pass try: for cost in asset.findall("Values/BuildCost/*/*"): try: if cost.tag == "Credits": b["BuildCost." + cost.tag] = int(cost.text) else: b["BuildCost." + cost.tag] = int(cost.text) // 1000 # in tons except: pass except: pass try: for cost in asset.findall("Values/MaintenanceCost/*"): try: c = int(cost.text) if "Cost" in cost.tag: c = -c if c % (2 << 10): b["MaintenanceCost." + cost.tag] = c # in Credits else: b["MaintenanceCost." + cost.tag] = c >> 12 # in game eco / power / ... units except: pass except: pass try: b["Unlock.IntermediateLevel"] = asset.find("Values/BuildCost/NeedsIntermediatelevel").text (count, level) = Unlocks[ b["Unlock.IntermediateLevel"] ] b["Unlock.ResidentCount"] = count b["Unlock.ResidentLevel"] = level except: pass buildings.append(b) return buildings #=============================================================================== def parse_Eng1(): Eng1 = {} for line in open(icons_txt_path): result = re.search("(\\d*)=(.*)", line) if result: Eng1[int(result.group(1))] = result.group(2) for line in open(guids_txt_path): result = re.search("(\\d*)=(.*)", line) if result: Eng1[int(result.group(1))] = result.group(2) return Eng1 def parse_ProductGUIDs(): ProductGUIDs = {} for p in ET.parse(properties_path).findall(".//ProductIconGUID/*"): if p.tag != "icon": ProductGUIDs[p.tag] = int(p.find("icon").text) return ProductGUIDs def parse_BaseGoldPrices(): BaseGoldPrices = {} for p in ET.parse(properties_path).findall(".//ProductPrices/*"): try: BaseGoldPrices[p.tag] = int(int(p.find("BaseGoldPrice").text) * 2.5) except: pass return BaseGoldPrices def parse_IconFileNames(): prefix = "icon_" midfix = "_" postfix = ".png" IconFileNames = {} for i in ET.parse(icons_path).findall("i"): IconFileID = i.find("Icons/i/IconFileID").text try: IconIndex = i.find("Icons/i/IconIndex").text except: IconIndex = "0" IconFileNames[int(i.find("GUID").text)] = prefix + IconFileID + midfix + IconIndex + postfix return IconFileNames def parse_IconWikiaFiles(): IconWikiaFiles = {} with open(IconWikiaFiles_path) as f: f.readline() # first line contains headers for line in f: (key, value) = line.strip().replace("\"","").split(";")[0:2] IconWikiaFiles[key] = value return IconWikiaFiles def parse_IconWikiaFilesSource(): buildings = get_building_list() WikiaCSVString = "Name;Wikia Icon File;Wikia Label\n" def prep(string): return re.sub("[ ._-]*", "", string.lower()) with open(IconWikiaFilessource_path) as f: for line in f: if ".png" in line and "File:" not in line: try: (png, label) = line.strip().replace(";","").split("|")[0:2] except: (png, label) = (line.strip().replace(";","").split("|")[0], "") name = "" for b in buildings: names = [ prep(b["Name"]) ] try: names.append(prep(b["Eng1"])) except: pass try: names.append(prep(b["IconWikiaFile"])) except: pass try: names.append(prep(b["Production.Product.Name"])) except: pass try: names.append(prep(b["Production.Product.Eng1"])) except: pass try: names.append(prep(b["IconFileName"])) except: pass if prep(label) in names or prep(png.split(".")[0]) in names: name = b["Name"] break WikiaCSVString += "{0};{1};{2}\n".format(name, png, label) return WikiaCSVString def update_IconWikiaFiles(): pass # manually for now ... def get_BuildBlocker(detail_path): ifo_path = folder + "data2\\graphics\\buildings\\" + detail_path b = ET.parse(ifo_path).find(".//BuildBlocker/Position") x = abs(int(b.find("x").text)) >> 11 z = abs(int(b.find("z").text)) >> 11 return [x, z] def parse_Unlocks(): Unlocks = {} for p in ET.parse(properties_path).findall(".//SortedLevels")[1].getchildren(): for i in p.findall("levels/Item"): try: Unlocks[i.find("IntermediateLevel").text] = ( int(i.find("ResidentCount").text), p.tag ) except: pass return Unlocks #=============================================================================== def validate(buildings, model): valid_keys = model.keys() result = set() for b in buildings: for k in b.keys(): if k not in valid_keys: result.add("\"{0}\": \"\",".format(k)) break t = model[k].split(":")[0] if t not in ("text", "int", "float", "int(+/-)", "float(+/-)"): result.add("unknown type <{0}> for key: {1}".format(t, k)) elif t == "text" and not isinstance(b[k], str) or t[:3] == "int" and not isinstance(b[k], int) or t[:3] == "float" and not isinstance(b[k], float): result.add("{0} should be <{1}> type, but for b[\"Name\"] = {2} the value is: {3}".format(k, t, b["Name"], b[k])) if result: text_result = "Invalid keys not found in model:\n\n" for r in result: text_result += r + "\n" else: text_result = "ok" return text_result def out_json(buildings, model): json.dump(model, fp=open(folder + model_name, "w"), indent=2, sort_keys=True) json.dump({"_version": __version__, "_model": model_url, "buildings": buildings}, fp=open(folder + output_name, "w"), indent=2, sort_keys=True) return None def out_csv(objects, model, object_type): csv = "This is a csv dump for anno data version {0}, see model {1} ...\n".format(__version__, model_url,) csv += "To calculate with the data in spreadsheet formulas, try something like the following instead of fixed ranges (order of columns might change in future versions):\n" csv += "\" =INDEX(data_range;MATCH($A2;OFFSET(data_first_column;0;MATCH('Eng1';data_headers;0)-1);0);MATCH(B$1;data_headers;0))\"\n\n" headers = sorted(model[object_type].keys()) for h in headers: csv += "{0};".format(h) csv += "\n" for b in objects: for h in headers: try: temp = b[h] except: temp = "" csv += "{0};".format(temp) csv += "\n" with open(folder + output_name.replace(".json", "_{0}.csv".format(object_type)), "w") as f: f.write(csv) return None #=============================================================================== def main(): model = {"_description": "this is a list of Anno 2070 buildings with properties that help fan-made tools in there .. i tried to name the properties somewhat close to actual xml elements in game data files .. you can contact me on http://anno2070.wikia.com/wiki/User:DeathApril or peter.hozak@gmail.com", "_version": __version__, "_gameversion": "v1.02 (patch3.rda)", "_missing_keys": "not all objects use all the keys in this model, please check for KeyError exceptions before working with them (e.g. Production.RawNeeded2Material will be missing for factories with 1 input only)", "_changelog": {"0.3": ["2011-12-17", "IconFileName changed, the second number corresponds to IconIndexdo without added +1 (for icons numbered from 0 instead from 1)", "IconWikiaFile added", "Production.Product.BaseGoldPrice added (in default trade price, not in datafile format)", "FarmField.BuildBlocker.* added (for convenience)", "BuildCost.* added", "MaintananceCost.* added", "Unlock.* added" ], "0.2": ["2011-12-15", "BuildBlocker array of 2 ints split to 2 properties *.x and *.z (so .csv dump of could be 1:1 to JSON)", "ProductName, ProductGUID and ProductEng1 renamed to Production.Product.* (for naming consistency)", "MaxResidentCount, Faction and Group added", "FarmField.* added + the farmfields themselves can be found in the buildings array by GUID (for farm size)", "Production.* added" ] }, "buildings": {"GUID": "int: GUID as appears in assets.xml and other files", "Name": "text: base name that appears in data files", "Eng1": "text: english localisation labels from Eng1.rda for building GUID", "IconFileName": "text: filename from the folder http://odegroot.nl/anno2070/img/orig/icon/ (or see icon folder in the zip file from http://odegroot.nl/anno2070/all_icons.php (first number is IconFileID, the second is IconIndex)", "IconWikiaFile": "text: filename from the folder http://odegroot.nl/anno2070/img/orig/icon/ (or see icon folder in the zip file from http://odegroot.nl/anno2070/all_icons.php (first number is IconFileID, the second is IconIndex)", "Faction": "text: tycoons, ecos, techs, others, ... ", "Group": "text: residence, public, production, special, ... (farms and factories are both production, see template)", "Template":"text: type of building", "InfluenceRadius": "int: radius from the center of the building in tiles", ".ifo": "text: path to .ifo of data2.rda data\graphics\buildings, based on the first Object/Variations/Item/Filename for each asset", "MaxResidentCount": "int: max. number of inhabitants (houses only)", "BuildBlocker.x": "int: 'x' dimension of the building in tiles (right shift by 11 bits of the number found in BuildBlocker/x element in .ifo file", "BuildBlocker.z": "int: 'z' dimension of the building in tiles (right shift by 11 bits of the number found in BuildBlocker/z element in .ifo file", "FarmField.GUID": "int: GUID of a farmfield (farms only)", "FarmField.Count": "int: number of farmfields needed (farms only)", "FarmField.Fertility": "text: type of fertility needed on island (farms only)", "FarmField.BuildBlocker.x": "int: copy of x dimension from the farmfield building BuildBlocker.x property (farms only)", "FarmField.BuildBlocker.z": "int: copy of x dimension from the farmfield building BuildBlocker.z property (farms only)", "Production.Product.Name": "text: name of product (factories and farms only)", "Production.Product.GUID": "int: GUID of product (factories and farms only)", "Production.Product.Eng1": "text: english localisation labels from Eng1.rda for product GUID (factories and farms only)", "Production.Product.BaseGoldPrice": "int: default trade price of product in credits [2.5 times the number from properties.xml //ProductPrices/*/BaseGoldPrice] (factories and farms only)", "Production.ProductionTime": "int: miliseconds (factories and farms only)", "Production.ProductionCount": "int: kilograms (factories and farms only)", "Production.ProductionTonsPerMinute": "float: tons per minute, calculated (factories and farms only)", "Production.RawMaterial1": "text: reference to Production.Product.Name of 1st supplier factory/farm (factories only)", "Production.RawMaterial2": "text: reference to Production.Product.Name of 2nd supplier factory/farm (factories only)", "Production.RawNeeded1": "int: kilograms (factories only)", "Production.RawNeeded2": "int: kilograms (factories only)", "Production.RawNeeded1TonsPerMinute": "float: tons per minute, calculated (factories only)", "Production.RawNeeded2TonsPerMinute": "float: tons per minute, calculated (factories only)", "BuildCost.Credits": "int: credis needet to build", "BuildCost.BuildingModules": "int: raw material needed to build in kilograms", "BuildCost.Wood": "int: raw material needed to build in kilograms", "BuildCost.Glass": "int: raw material needed to build in kilograms", "BuildCost.Carbon": "int: raw material needed to build in kilograms", "BuildCost.Concrete": "int: raw material needed to build in kilograms", "BuildCost.Steel": "int: raw material needed to build in kilograms", "BuildCost.Tools": "int: raw material needed to build in kilograms", "BuildCost.Weapons": "int: raw material needed to build in kilograms", "BuildCost.HeavyWeapons": "int: raw material needed to build in kilograms", "BuildCost.AdvancedWeapons": "int: raw material needed to build in kilograms", "MaintenanceCost.ActiveCost": "int: credits for maintsenance per tick", "MaintenanceCost.InactiveCost": "int: credits for maintenance of paused building per tick", "MaintenanceCost.ActiveEcoEffect": "float(+/-): eco effect (game unit)", "MaintenanceCost.InactiveEcoEffect": "float(+/-): eco effect of paused building (game unit)", "MaintenanceCost.ActiveEnergyCost": "float: energy consumption (game unit)", "MaintenanceCost.InactiveEnergyCost": "float: energy consumption of paused building (game unit)", "MaintenanceCost.EcoEffectFadingSpeed": "float: game unit", "MaintenanceCost.InitTime": "float: miliseconds", "MaintenanceCost.ActiveEnergyProduction": "float: game unit", "MaintenanceCost.InactiveEnergyProduction": "float: game unit", "MaintenanceCost.MinimumEnergyLevel": "float: game unit", "MaintenanceCost.ActiveAtStart": "float: game unit", "Unlock.IntermediateLevel": "text: NeedsIntermediatelevel from assets.xml to pair the building to properties.xml's SortedLevels/IntermediateLevel", "Unlock.ResidentCount": "int: number of residents from properties.xml", "Unlock.ResidentLevel": "text: workers, employees, engineers or executives", } } #print parse_IconWikiaFilesSource() buildings = get_building_list() print validate(buildings, model["buildings"]) out_json(buildings, model) out_csv(buildings, model, "buildings") if __name__ == "__main__": main()

55.661176

307

0.534283

2,408

23,656

5.184801

0.19103

0.028835

0.028114

0.021306

0.30004

0.229876

0.177733

0.147297

0.123268

0.074489

0

0.014587

0.33928

23,656

425

308

55.661176

0.784197

0.032592

0

0.224932

0

0.00271

0.390555

0.122555

0

null

0.100271

0.00813

null

0.00271

0

null

0

null

0

1

0

1

0

2

3b8ea57cf350f46a0b5175e07f66d2bedeb67fa8

8,795

py

Python

environments/transfer_env/reacher_env.py

WilsonWangTHU/neural_graph_evolution

9142b7f1c32c476aa44c83da38d3f0bacc276d73

[ "MIT" ]

33

2019-06-06T13:59:51.000Z

2022-03-07T10:36:42.000Z

environments/transfer_env/reacher_env.py

WilsonWangTHU/neural_graph_evolution

9142b7f1c32c476aa44c83da38d3f0bacc276d73

[ "MIT" ]

8

2019-07-09T16:58:28.000Z

2022-02-10T00:27:39.000Z

environments/transfer_env/reacher_env.py

WilsonWangTHU/neural_graph_evolution

9142b7f1c32c476aa44c83da38d3f0bacc276d73

[ "MIT" ]

12

2019-06-07T10:43:12.000Z

2022-03-09T13:47:01.000Z

#!/usr/bin/env python2 # ----------------------------------------------------------------------------- # @brief: # The reacher task # @author: # Tingwu (Wilson) Wang, July 22nd, 2017 # ----------------------------------------------------------------------------- import pdb import numpy as np from gym import utils from gym.envs.mujoco import mujoco_env import init_path import os import num2words class ReacherEnv(mujoco_env.MujocoEnv, utils.EzPickle): ''' @brief: In the modifiedReacherEnv, we take out the cos and sin functions applied on the environments. In this case, the env is compatible with all the other environments @reward: normalize the distance reward to -1 normalize the ctrl reward to -0.1 ''' def __init__(self, pod_number=2): # get the path of the environments xml_name = 'Reacher' + self.get_env_num_str(pod_number) + '.xml' xml_path = os.path.join(os.path.join(init_path.get_base_dir(), 'environments', 'assets', xml_name)) xml_path = str(os.path.abspath(xml_path)) # the environment coeff self.num_body = pod_number + 1 self._task_indicator = -1.0 self._ctrl_coeff = 2.0 / (self.num_body / 2 + 1) # norm the max penalty to be 1, max norm is self.num_body * 0.1 * 2 self._dist_coeff = 2.0 / self.num_body mujoco_env.MujocoEnv.__init__(self, xml_path, 2) utils.EzPickle.__init__(self) def step(self, a): vec = self.sim.data.site_xpos[0] - self.get_body_com("target") ''' max is: 0.4 reward_ctrl = - np.square(a).sum() reward_dist = self._task_indicator * \ sum(np.square(vec)) * self._dist_coeff ''' reward_ctrl = - np.square(a).sum() * self._ctrl_coeff reward_dist = -1 * np.linalg.norm(vec) * self._dist_coeff reward = reward_dist + reward_ctrl self.do_simulation(a, self.frame_skip) ob = self._get_obs() done = False return ob, reward, done, \ dict(reward_dist=reward_dist, reward_ctrl=reward_ctrl) def viewer_setup(self): self.viewer.cam.trackbodyid = 0 self.viewer.cam.distance = self.model.stat.extent * 0.8 def reset_model(self): # init qpos qpos = self.np_random.uniform(low=-0.1, high=0.1, size=self.model.nq) \ + self.init_qpos # get goal position self.goal = self.np_random.uniform( low=-.1 * self.num_body, high=.1 * self.num_body, size=2 ) ''' length = self.np_random.uniform( low=0.0, high=0.1 * self.num_body, size=1 )[0] theta = self.np_random.uniform( low=-3.1415, high=3.1415, size=1 )[0] self.goal = [length * np.sin(theta), length * np.cos(theta)] ''' qpos[-2:] = self.goal # init qvel qvel = self.init_qvel + \ self.np_random.uniform(low=-.005, high=.005, size=self.model.nv) if self._task_indicator < 0: qvel[-2:] = 0 else: qvel[-2:] = self.np_random.uniform(low=-3, high=3, size=2) # set state self.set_state(qpos, qvel) # self.set_color() # disable set_color() for now. No solution to return self._get_obs() def _get_obs(self): # pdb.set_trace() return np.concatenate([ self.sim.data.qpos.flat[:-2], self.sim.data.qvel.flat[:-2], (self.sim.data.site_xpos[0] - self.get_body_com("target"))[:2], [self._task_indicator], # indicating task, -1: reacher, 1: avoider self.sim.data.qpos.flat[-2:] # target pos # self.model.data.qvel.flat[-2:] # target vel ]) def get_env_num_str(self, number): num_str = num2words.num2words(number) return num_str[0].upper() + num_str[1:] def set_color(self): reacher_id = self.model.geom_names.index('reacherIndicator') avoider_id = self.model.geom_names.index('avoiderIndicator') temp = np.array(self.model.geom_size) if self._task_indicator < 0: temp[reacher_id, 0] = 0.015 temp[avoider_id, 0] = 0.001 else: temp[reacher_id, 0] = 0.001 temp[avoider_id, 0] = 0.015 self.model.geom_size = temp return class AvoiderEnv(ReacherEnv): ''' @brief: In the modifiedReacherEnv, we take out the cos and sin functions applied on the environments. In this case, the env is compatible with all the other environments ''' def __init__(self, pod_number=2): ReacherEnv.__init__(self, pod_number=pod_number) def reset_model(self): self._task_indicator = 1.0 ReacherEnv.reset_model(self) # reset the model return self._get_obs() class SwitcherEnv(ReacherEnv): ''' @brief: In the modifiedReacherEnv, we take out the cos and sin functions applied on the environments. In this case, the env is compatible with all the other environments ''' def reset_model(self): self._task_indicator = float(self.np_random.randint(2) * 2 - 1) ReacherEnv.reset_model(self) # reset the model return self._get_obs() ''' Reachers ''' class ReacherZeroEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=0) class ReacherOneEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=1) class ReacherTwoEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=2) class ReacherThreeEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=3) class ReacherFourEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=4) class ReacherFiveEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=5) class ReacherSixEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=6) class ReacherSevenEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=7) class ReacherEightEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=8) class ReacherNineEnv(ReacherEnv): def __init__(self): ReacherEnv.__init__(self, pod_number=9) ''' Avoiders ''' class AvoiderZeroEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=0) class AvoiderOneEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=1) class AvoiderTwoEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=2) class AvoiderThreeEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=3) class AvoiderFourEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=4) class AvoiderFiveEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=5) class AvoiderSixEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=6) class AvoiderSevenEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=7) class AvoiderEightEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=8) class AvoiderNineEnv(AvoiderEnv): def __init__(self): AvoiderEnv.__init__(self, pod_number=9) ''' Switchers ''' class SwitcherZeroEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=0) class SwitcherOneEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=1) class SwitcherTwoEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=2) class SwitcherThreeEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=3) class SwitcherFourEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=4) class SwitcherFiveEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=5) class SwitcherSixEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=6) class SwitcherSevenEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=7) class SwitcherEightEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=8) class SwitcherNineEnv(SwitcherEnv): def __init__(self): SwitcherEnv.__init__(self, pod_number=9)

24.430556

79

0.621717

1,080

8,795

4.686111

0.186111

0.102746

0.071725

0.110848

0.571429

0.515906

0.424422

0.411579

0.123098

0

0.021478

0.253553

8,795

359

80

24.498607

0.749429

0.144741

0

0.255814

0

0.010705

0

1

0.232558

false

0

0.040698

0.005814

0.505814

0

null

0

null

0

1

0

1

0

2

3b90e01f97c9f9b164bb39ffe2d1651f169409d3

647

py

Python

test/test_constraints.py

maffettone/constrained_sampler

7674116d330ce3a56e44511797929127b4374a85

[ "MIT" ]

null

test/test_constraints.py

maffettone/constrained_sampler

7674116d330ce3a56e44511797929127b4374a85

[ "MIT" ]

null

test/test_constraints.py

maffettone/constrained_sampler

7674116d330ce3a56e44511797929127b4374a85

[ "MIT" ]

null

import unittest import os from constrained_sampler.constraints import Constraint class ConstraintTestCase(unittest.TestCase): def setUp(self): self.constraint = Constraint(os.path.join(os.path.dirname(__file__), '../examples/mixture.txt')) def test_example(self): self.assertListEqual([0., 0.], self.constraint.get_example()) def test_ndim(self): self.assertEqual(self.constraint.get_ndim(), 2) def test_apply(self): self.assertTrue(self.constraint.apply(self.constraint.get_example())) self.assertFalse(self.constraint.apply([1., 1.])) if __name__ == '__main__': unittest.main()

28.130435

104

0.704791

78

647

5.602564

0.461538

0.19222

0.116705

0.10984

0

0.009174

0.157651

647

22

105

29.409091

0.792661

0

0.047913

0.035549

0

0.266667

1

0.266667

false

0

0.2

0

0.533333

0

null

0

null

0

1

0

1

0

2

3b91a60fc28a44b7333d8840574bee24164ae81f

318

py

Python

doc/week1/w1d3/fasta.py

VinceSD/mebioda

79021e7e0313ed7b2a116a4f2c1099eac9d5ed63

[ "MIT" ]

null

doc/week1/w1d3/fasta.py

VinceSD/mebioda

79021e7e0313ed7b2a116a4f2c1099eac9d5ed63

[ "MIT" ]

null

doc/week1/w1d3/fasta.py

VinceSD/mebioda

79021e7e0313ed7b2a116a4f2c1099eac9d5ed63

[ "MIT" ]

2

2019-12-09T12:05:59.000Z

2019-12-09T12:09:57.000Z

from Bio import SeqIO # sudo pip install biopython with open("Danaus.fas", "rU") as handle: # Example: retain COI for record in SeqIO.parse(handle, "fasta"): fields = record.description.split('|') if fields[2] == 'COI-5P': print '>' + record.description print record.seq

31.8

50

0.610063

40

318

4.85

0.775

0.175258

0

0.008511

0.261006

318

9

51

35.333333

0.817021

0.144654

0

0.092937

0

null

0

0.142857

null

0.285714

0

null

0

1

0

null

0

1

0

2

3ba1265751c6c07d0afae1857dc2c19c788c3648

209

py

Python

Easy/Delete_Columns_to_Make_Sorted/Delete_Columns_to_Make_Sorted.py

nitin3685/LeetCode_Solutions

ab920e96cd27e0b2c3c895ce20853edceef0cce8

[ "MIT" ]

null

Easy/Delete_Columns_to_Make_Sorted/Delete_Columns_to_Make_Sorted.py

nitin3685/LeetCode_Solutions

ab920e96cd27e0b2c3c895ce20853edceef0cce8

[ "MIT" ]

null

Easy/Delete_Columns_to_Make_Sorted/Delete_Columns_to_Make_Sorted.py

nitin3685/LeetCode_Solutions

ab920e96cd27e0b2c3c895ce20853edceef0cce8

[ "MIT" ]

null

class Solution: def minDeletionSize(self, A: List[str]) -> int: res = 0 for col_str in zip(*A): if list(col_str) != sorted(col_str): res += 1 return res

26.125

51

0.502392

28

209

3.642857

0.678571

0.176471

0

0.015504

0.382775

209

7

52

29.857143

0.775194

0

1

0.142857

false

0

0.428571

0

1

0

null

0

1

0

null

0

2

8e67d515242da662f008461e6ce926c1409d9c17

123

py

Python

demo_broadcast.py

Monster880/pytorch_py

9c5ac5974f48edb5ea3d897a1100a63d488c61d9

[ "MIT" ]

null

demo_broadcast.py

Monster880/pytorch_py

9c5ac5974f48edb5ea3d897a1100a63d488c61d9

[ "MIT" ]

null

demo_broadcast.py

Monster880/pytorch_py

9c5ac5974f48edb5ea3d897a1100a63d488c61d9

[ "MIT" ]

null

import torch a = torch.rand(2,4,1,3) b = torch.rand(4,2,3) c = a + b # 2*4*2*3 print(a) print(b) print(c) print(c.shape)

10.25

23

0.601626

31

123

2.387097

0.387097

0.243243

0.081081

0

0.107843

0.170732

123

11

24

11.181818

0.617647

0.056911

0

1

0

false

0

0.125

0

0.125

0.5

0

null

1

0

null

0

1

0

2