xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

92799feccf4a1361a1ddbaeca85667a04610ecb8

1,007

py

Python

anecAPI/anecAPI.py

suborofu/anecAPI

ddf54e63254fc4b00748e673d8b48aa59abd6526

[ "MIT" ]

null

anecAPI/anecAPI.py

suborofu/anecAPI

ddf54e63254fc4b00748e673d8b48aa59abd6526

[ "MIT" ]

null

anecAPI/anecAPI.py

suborofu/anecAPI

ddf54e63254fc4b00748e673d8b48aa59abd6526

[ "MIT" ]

null

from modern_jokes import modern_jokes from soviet_jokes import soviet_jokes import random import argparse def soviet_joke(): return random.choice(soviet_jokes) def modern_joke(): return random.choice(modern_jokes) def random_joke(): return random.choice(soviet_jokes + modern_jokes) # TODO: Auto-generated jokes if __name__ == "__main__": parser = argparse.ArgumentParser(add_help=True, description='Displays a funny (or not) USSR/Russian joke (also called anecdote).') parser.add_argument("-m", "--modern", action="store_true", help="display a modern Russian joke") parser.add_argument("-s", "--soviet", action="store_true", help="display an old USSR joke") parser.add_argument("-a", "--any", action="store_true", help="display a USSR/Russian joke (default)") args = parser.parse_args() if args.modern: print(modern_joke()) elif args.soviet: print(soviet_joke()) else: print(random_joke())

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929548cb4fdb28eda560c96f789724f2f74e54ef

4,090

py

Python

Smaug/models/users.py

luviiv/Smaug

d26d837bb97ef583e05c43d16aed265356b7cf74

[ "Apache-2.0" ]

null

Smaug/models/users.py

luviiv/Smaug

d26d837bb97ef583e05c43d16aed265356b7cf74

[ "Apache-2.0" ]

null

Smaug/models/users.py

luviiv/Smaug

d26d837bb97ef583e05c43d16aed265356b7cf74

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ users.py ~~~~~~~~~~~ user manage :copyright: (c) 2015 by Lu Tianchao. :license: Apache, see LICENSE for more details. """ import hashlib from datetime import datetime from werkzeug import generate_password_hash, check_password_hash, \ cached_property from flask.ext.sqlalchemy import BaseQuery from flask.ext.principal import RoleNeed, UserNeed, Permission from Smaug.extensions import db from Smaug.permissions import null class UserQuery(BaseQuery): def from_identity(self, identity): """ Loads user from flask.ext.principal.Identity instance and assigns permissions from user. A "user" instance is monkeypatched to the identity instance. If no user found then None is returned. """ try: user = self.get(int(identity.id)) except ValueError: user = None if user: identity.provides.update(user.provides) identity.user = user return user def authenticate(self, login, password): user = self.filter(db.or_(User.username==login, User.email==login)).first() if user: authenticate = user.check_password(password) else: authenticate = False return user, authenticate def authenticate_openid(self, email, openid): user = self.filter(User.email==email).first() if user: authenticate = user.check_openid(openid) else: authenticate = False return user, authenticate class User(db.Model): __tablename__ = "users" query_class = UserQuery # user roles MEMBER = 100 MODERATOR = 200 ADMIN = 300 id = db.Column(db.Integer, primary_key = True) username = db.Column(db.Unicode(60), unique=True, nullable=False) email = db.Column(db.String(150), unique=True, nullable=False) role = db.Column(db.Integer, default = MEMBER) _password = db.Column("password", db.String(80)) _openid = db.Column("openid", db.String(80), unique=True) class Permissions(object): def __init__(self, obj): self.obj = obj @cached_property def send_message(self): if not self.obj.receive_email: return null needs = [UserNeed(user_id) for user_id in self.obj.friends] if not needs: return null return Permission(*needs) def __str__(self): return self.username def __repr__(self): return "<%s>" % self @cached_property def permissions(self): return self.Permissions(self) def _get_password(self): return self._password def _set_password(self, password): self._password = generate_password_hash(password) password = db.synonym("_password", descriptor=property(_get_password, _set_password)) def check_password(self, password): if self.password is None: return False return check_password_hash(self.password, password) def _get_openid(self): return self._openid def _set_openid(self, openid): self._openid = generate_password_hash(openid) openid = db.synonym("_openid", descriptor=property(_get_openid, _set_openid)) def check_openid(self, openid): if self.openid is None: return False return check_password_hash(self.openid, openid) @cached_property def provides(self): needs = [RoleNeed('authenticated'), UserNeed(self.id)] if self.is_moderator: needs.append(RoleNeed('moderator')) if self.is_admin: needs.append(RoleNeed('admin')) return needs @property def is_moderator(self): return self.role >= self.MODERATOR @property def is_admin(self): return self.role >= self.ADMIN

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92a63e6d9950d24608b3bbb002e036b82919a7bf

2,541

py

Python

pyalgs/data_structures/commons/queue.py

vertexproject/pyalgs

11b9ea37afc9e9f9e38ffacc42b53f9cd96f5f83

[ "BSD-3-Clause" ]

12

2017-05-01T10:31:42.000Z

2021-06-23T14:03:28.000Z

pyalgs/data_structures/commons/queue.py

vertexproject/pyalgs

11b9ea37afc9e9f9e38ffacc42b53f9cd96f5f83

[ "BSD-3-Clause" ]

2

2018-08-01T10:09:09.000Z

2020-07-16T11:41:46.000Z

pyalgs/data_structures/commons/queue.py

vertexproject/pyalgs

11b9ea37afc9e9f9e38ffacc42b53f9cd96f5f83

[ "BSD-3-Clause" ]

6

2017-06-04T01:41:14.000Z

2021-01-19T05:05:44.000Z

from abc import abstractmethod, ABCMeta class Queue(object): """ Queue interface """ __metaclass__ = ABCMeta @abstractmethod def enqueue(self, item): pass @abstractmethod def dequeue(self): pass @abstractmethod def is_empty(self): pass @abstractmethod def size(self): pass @staticmethod def create(): return LinkedListQueue() @abstractmethod def iterate(self): pass class Node(object): value = None nextNode = None def __init__(self, value): self.value = value class LinkedListQueue(Queue): first = None last = None N = 0 def size(self): return self.N def iterate(self): x = self.first while x is not None: value = x.value x = x.nextNode yield value def enqueue(self, item): old_last = self.last self.last = Node(item) if old_last is not None: old_last.nextNode = self.last if self.first is None: self.first = self.last self.N += 1 def is_empty(self): return self.N == 0 def dequeue(self): if self.is_empty(): return None old_first = self.first self.first = old_first.nextNode if old_first == self.last: self.last = None self.N -= 1 return old_first.value class ArrayQueue(Queue): head = 0 tail = 0 s = [] def __init__(self, capacity=None): if capacity is None: capacity = 10 self.s = [0] * capacity def iterate(self): if self.is_empty(): return for i in range(self.head, self.tail): yield self.s[i] def enqueue(self, item): self.s[self.tail] = item self.tail += 1 if self.tail == len(self.s): self.resize(len(self.s) * 2) def resize(self, new_size): tmp = [0] * new_size for i in range(self.head, self.tail): tmp[i-self.head] = self.s[i] self.s = tmp self.tail = self.tail - self.head self.head = 0 def size(self): return self.tail - self.head def is_empty(self): return self.size() == 0 def dequeue(self): if self.is_empty(): return None deleted = self.s[self.head] self.head += 1 if self.size() == len(self.s) // 4: self.resize(len(self.s) // 2) return deleted

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null

0

1

0

1

0

2

92acbaaddd86f818bb28122d75c4dba5ebed8fa5

366

py

Python

tests/test_core.py

blacktanktop/vivid

e85837bcd86575f8a275517250dd026aac3e451f

[ "BSD-2-Clause-FreeBSD" ]

null

tests/test_core.py

blacktanktop/vivid

e85837bcd86575f8a275517250dd026aac3e451f

[ "BSD-2-Clause-FreeBSD" ]

null

tests/test_core.py

blacktanktop/vivid

e85837bcd86575f8a275517250dd026aac3e451f

[ "BSD-2-Clause-FreeBSD" ]

null

from vivid.core import BaseBlock, network_hash def test_network_hash(): a = BaseBlock('a') b = BaseBlock('b') assert network_hash(a) != network_hash(b) assert network_hash(a) == network_hash(a) c = BaseBlock('c', parent=[a, b]) hash1 = network_hash(c) a._parent = [BaseBlock('z')] hash2 = network_hash(c) assert hash1 != hash2

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null

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2b8f14ec9702e12886e533477032b0cf4a2e6d8f

1,918

py

Python

tests/test_analysis_status_response.py

s0b0lev/mythx-models

0fc14fef9e41a68a7d97e0bb170fd0eca5693d9a

[ "MIT" ]

null

tests/test_analysis_status_response.py

s0b0lev/mythx-models

0fc14fef9e41a68a7d97e0bb170fd0eca5693d9a

[ "MIT" ]

null

tests/test_analysis_status_response.py

s0b0lev/mythx-models

0fc14fef9e41a68a7d97e0bb170fd0eca5693d9a

[ "MIT" ]

null

import json import pytest from mythx_models.exceptions import ValidationError from mythx_models.response import Analysis, AnalysisStatusResponse from mythx_models.util import serialize_api_timestamp from . import common as testdata def assert_analysis_data(expected, analysis: Analysis): assert expected["apiVersion"] == analysis.api_version assert expected["maruVersion"] == analysis.maru_version assert expected["mythrilVersion"] == analysis.mythril_version assert expected["harveyVersion"] == analysis.harvey_version assert expected["queueTime"] == analysis.queue_time assert expected["runTime"] == analysis.run_time assert expected["status"] == analysis.status assert expected["submittedAt"] == serialize_api_timestamp(analysis.submitted_at) assert expected["submittedBy"] == analysis.submitted_by assert expected["uuid"] == analysis.uuid def test_analysis_list_from_valid_json(): resp = AnalysisStatusResponse.from_json( json.dumps(testdata.ANALYSIS_STATUS_RESPONSE_DICT) ) assert_analysis_data(testdata.ANALYSIS_STATUS_RESPONSE_DICT, resp.analysis) def test_analysis_list_from_empty_json(): with pytest.raises(ValidationError): AnalysisStatusResponse.from_json("{}") def test_analysis_list_from_valid_dict(): resp = AnalysisStatusResponse.from_dict(testdata.ANALYSIS_STATUS_RESPONSE_DICT) assert_analysis_data(testdata.ANALYSIS_STATUS_RESPONSE_DICT, resp.analysis) def test_analysis_list_from_empty_dict(): with pytest.raises(ValidationError): AnalysisStatusResponse.from_dict({}) def test_analysis_list_to_dict(): d = testdata.ANALYSIS_STATUS_RESPONSE_OBJECT.to_dict() assert d == testdata.ANALYSIS_STATUS_RESPONSE_DICT def test_analysis_list_to_json(): json_str = testdata.ANALYSIS_STATUS_RESPONSE_OBJECT.to_json() assert json.loads(json_str) == testdata.ANALYSIS_STATUS_RESPONSE_DICT

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null

0

1

0

2

2b92b611127a05b1d87d98fdcdf787a237a82dc6

129

py

Python

faced/const.py

hseguro/faced

4ad42c54fb8e8679fb5feda30af5db3ac74ccc8c

[ "MIT" ]

575

2018-08-27T18:30:53.000Z

2022-03-31T03:25:36.000Z

faced/const.py

18718615232/faced

31ef0d30e1567a06113f49ff4a1202760d952df2

[ "MIT" ]

35

2018-09-04T08:16:59.000Z

2022-02-03T18:28:29.000Z

faced/const.py

18718615232/faced

31ef0d30e1567a06113f49ff4a1202760d952df2

[ "MIT" ]

172

2018-08-31T16:55:50.000Z

2022-02-28T12:03:58.000Z

import os MODELS_PATH = os.path.join(os.path.dirname(__file__), "models") YOLO_SIZE = 288 YOLO_TARGET = 9 CORRECTOR_SIZE = 50

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null

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2

2b97f27689c29817d3fc17a2b5b71b9419f2063e

6,023

py

Python

indexerNew.py

philophilo/searchingReddit

5c10dc70ecf6a614863403f28a91efe73c11fede

[ "MIT" ]

null

indexerNew.py

philophilo/searchingReddit

5c10dc70ecf6a614863403f28a91efe73c11fede

[ "MIT" ]

null

indexerNew.py

philophilo/searchingReddit

5c10dc70ecf6a614863403f28a91efe73c11fede

[ "MIT" ]

null

#!/home/master00/anaconda23/bin/python from util import * import argparse import base64 import os import json from collections import defaultdict # Two main type of indexes # -- Forward index # -- Inverted index # Forward index # doc1 -> [learning, python, how, to] # doc2 -> [learning, c++] # ... # doc3 -> [python, c++] # inverted index # learning -> [doc1, doc2] # python -> [doc1, doc3] # how -> [doc1] # to -> [doc1] # c++ -> [doc2, doc3] # TODO: improve this # Indexer assumes that collection fits in ram # class Indexer(object): def __init__(self): self.inverted_index = dict() self.forward_index = dict() self.url_to_id = dict() self.doc_count = 0 # TODO: remove these assumptions # assumes that add_document() is never called twice for a document # assumes that a document has a unique url # parsed_text is a list of Terms def add_document(self, url, parsed_text): self.doc_count += 1 assert url not in self.url_to_id current_id = self.doc_count self.url_to_id[url] = current_id print(self.url_to_id[url], "\t", current_id) self.forward_index[current_id] = parsed_text for position, term in enumerate(parsed_text): #TODO default dict if term not in self.inverted_index: # if the word doesn't exist in the database # create a list on which to append doc id and # the position in the doc self.inverted_index[term] = [] self.inverted_index[term].append((position, current_id)) def save_on_disk(self, index_dir): def dump_json_to_file(source, file_name): file_path = os.path.join(index_dir, file_name) json.dump(source, open(file_path, "w"), indent=4) dump_json_to_file(self.inverted_index, "inverted_index") dump_json_to_file(self.forward_index, "forward_index") dump_json_to_file(self.url_to_id, "url_to_id") class Searcher(object): def __init__(self, index_dir): self.inverted_index = dict() self.forward_index = dict() self.url_to_id = dict() self.doc_count = dict() def load_json_from_file(file_name): file_path = os.path.join(index_dir, file_name) dst = json.load(open(file_path)) return dst self.inverted_index = load_json_from_file("inverted_index") self.forward_index = load_json_from_file("forward_index") self.url_to_id = load_json_from_file("url_to_id") self.id_to_url = {v : k for k,v in self.url_to_id.iteritems()} """ # query [word1, word2] -> returns all documents that contain one of these words # sort of OR def find_documents(self, query_terms): return sum([self.inverted_index[word] for word in query_terms], []) """ def generate_snippet(self, query_terms, doc_id): query_terms_in_window = [] best_window_len = 100500 # TODO: inf would be better ;) words_in_best_window = 0 best_window = [] for pos,word in enumerate(self.forward_index[unicode(doc_id)]): if word in query_terms: query_terms_in_window.append((word, pos)) if len(query_terms_in_window) > 1 and query_terms_in_window[0] == word: query_terms_in_window.pop(0) current_window_len = pos-query_terms_in_window[0][1] + 1 wiw = len(set(map(lambda x: x[0], query_terms_in_window))) if wiw > words_in_best_window or (wiw == words_in_best_window and current_window_len < best_window_len): words_in_best_window = wiw best_window = query_terms_in_window[:] best_window_len = current_window_len doc_len = len(self.forward_index[unicode(doc_id)]) # TODO 15 should be a named constant snippet_start = max(best_window[0][1] - 15, 0) snippet_end = min(doc_len, best_window[len(best_window) - 1][1] + 1 + 15) return [(term, term in query_terms) for term in self.forward_index[unicode(doc_id)][snippet_start:snippet_end]] def find_documents_AND(self, query_terms): # docid -> number of query words docids = set() query_word_count = defaultdict(set) for query_word in query_terms: for (pos, docid) in self.inverted_index.get(query_word, []): try: query_word_count[docid].add(query_word) except Exception as e: print "Error:", e, self.inverted_index.get(query_word, []) return [docid for docid, unique_hits in query_word_count.iteritems() if len(unique_hits) == len(query_terms)] # sort of OR def find_documens_OR(self, query_terms): docids = set() for query_word in query_terms: for (pos, docid) in self.inverted_index.get(query_word, []): docids.add(docid) return docids def get_document_text(self, doc_id): return self.forward_index[unicode(doc_id)] def get_url(self, doc_id): return self.id_to_url[doc_id] def create_index_from_dir(stored_documents_dir, index_dir): indexer = Indexer() for filename in os.listdir(stored_documents_dir): opened_file = open(os.path.join(stored_documents_dir, filename)) # TODO: words are not just seperated not just by space, but commas, semicolons, etc parsed_doc = parseRedditPost(opened_file.read()).split(" ") indexer.add_document(base64.b16decode(filename), parsed_doc) indexer.save_on_disk(index_dir) def main(): parser = argparse.ArgumentParser(description='Index /r/learnprogramming') parser.add_argument("--stored_documents_dir", dest="stored_documents_dir", required=True) parser.add_argument("--index_dir", dest="index_dir", required=True) args = parser.parse_args() create_index_from_dir(args.stored_documents_dir, args.index_dir) if __name__ =="__main__": main()

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2b9d72d72fd5c63abb08e7957792d60430f4fc1f

490

py

Python

metadeploy/api/migrations/0045_product_license_requirements.py

sfdc-qbranch/MetaDeploy

d22547b3814dbec6aefa4d86b9f81c6f175c1b67

[ "BSD-3-Clause" ]

33

2019-03-20T15:34:39.000Z

2022-03-30T15:59:40.000Z

metadeploy/api/migrations/0045_product_license_requirements.py

sfdc-qbranch/MetaDeploy

d22547b3814dbec6aefa4d86b9f81c6f175c1b67

[ "BSD-3-Clause" ]

2,718

2019-02-27T19:46:07.000Z

2022-03-11T23:18:09.000Z

metadeploy/api/migrations/0045_product_license_requirements.py

sfdc-qbranch/MetaDeploy

d22547b3814dbec6aefa4d86b9f81c6f175c1b67

[ "BSD-3-Clause" ]

28

2019-03-28T04:57:16.000Z

2022-02-04T16:49:25.000Z

# Generated by Django 2.1.5 on 2019-01-28 21:04 import sfdo_template_helpers.fields from django.db import migrations class Migration(migrations.Migration): dependencies = [("api", "0044_merge_20190125_1502")] operations = [ migrations.AddField( model_name="product", name="license_requirements", field=sfdo_template_helpers.fields.MarkdownField( blank=True, property_suffix="_markdown" ), ) ]

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2ba7860171b35ef1fd22e6ca196a4bf0cdd6ce68

841

py

Python

main.py

fmiju/fssg3

ffda53e9e65a9ecd22c853e80a0af0226a4b22e4

[ "BSD-3-Clause" ]

null

main.py

fmiju/fssg3

ffda53e9e65a9ecd22c853e80a0af0226a4b22e4

[ "BSD-3-Clause" ]

null

main.py

fmiju/fssg3

ffda53e9e65a9ecd22c853e80a0af0226a4b22e4

[ "BSD-3-Clause" ]

null

import pygame from pygame.locals import * gameState = 0 pygame.init() while 1: # print "state: ", gameState # idle if gameState == 0: print pygame.event.get() for event in pygame.event.get(): if (event.type == KEYDOWN and event.key == K_SPACE): gameState = 1 # build ship elif gameState == 1: for event in pygame.event.get(): if (event.type == KEYDOWN and event.key == K_1): gameState = 2 # shoot elif gameState == 2: for event in pygame.event.get(): if (event.type == KEYDOWN and event.key == K_2): gameState = 3 # dead elif gameState == 3: for event in pygame.event.get(): if (event.type == KEYDOWN and event.key == K_r): gameState = 0 elif (event.type == KEYDOWN and event.key == K_q): gameState = 4 # quit elif gameState == 4: print "quitting" else: print 'meow'

21.025

55

0.630202

124

841

4.233871

0.298387

0.104762

0.133333

0.180952

0.464762

0.411429

0

0.021841

0.237812

841

39

56

21.564103

0.797192

0.068966

0

0.214286

0

0.015464

0

null

0

0.071429

null

0.107143

0

null

0

1

0

null

0

1

0

2

2bb394837f98ad170af7ac4403fbc8f5bff79198

272

py

Python

newbitcoin/newbitcoin/code-ch03/helper.py

tys-hiroshi/test_programmingbitcoin

6eb6fb1c087f6dd2cb2b01f527488a904065efa6

[ "MIT" ]

null

newbitcoin/newbitcoin/code-ch03/helper.py

tys-hiroshi/test_programmingbitcoin

6eb6fb1c087f6dd2cb2b01f527488a904065efa6

[ "MIT" ]

null

newbitcoin/newbitcoin/code-ch03/helper.py

tys-hiroshi/test_programmingbitcoin

6eb6fb1c087f6dd2cb2b01f527488a904065efa6

[ "MIT" ]

null

from unittest import TestSuite, TextTestRunner import hashlib def run(test): suite = TestSuite() suite.addTest(test) TextTestRunner().run(suite) def hash256(s): '''two rounds of sha256''' return hashlib.sha256(hashlib.sha256(s).digest()).digest()

18.133333

62

0.694853

33

272

5.727273

0.575758

0.137566

0

0.053333

0.172794

272

14

63

19.428571

0.786667

0.073529

0

1

0.25

false

0

0.25

0

0.625

0

null

0

null

0

1

0

1

0

2

2bb98fcaa1938a0b80ec364136a3876078651d5b

2,083

py

Python

dialogs.py

6dba/async-telegram-bot

3950f5bc51be9f2f93924442948a98db52332d8e

[ "MIT" ]

null

dialogs.py

6dba/async-telegram-bot

3950f5bc51be9f2f93924442948a98db52332d8e

[ "MIT" ]

null

dialogs.py

6dba/async-telegram-bot

3950f5bc51be9f2f93924442948a98db52332d8e

[ "MIT" ]

null

from dataclasses import dataclass from aiogram.types import ReplyKeyboardRemove, \ ReplyKeyboardMarkup, KeyboardButton, \ InlineKeyboardMarkup, InlineKeyboardButton """Диалоги бота""" @dataclass(frozen=True) class Messages: SMILE = ['🤷‍♀️','🧐','🤷‍♂️','🤔','😐','🤨','🤯','🥱','👀','👋','💊','🙅‍♀️','🎇','🗿'] start_html: str = "Добро пожаловать, {first_name}! 🕺\nЯ бот, созданный для того, чтобы напоминать тебе - пора пить таблеточки!" help: str = """Я бот - помощник! 🗿\nУмею напоминать о том, что пора принимать лекарства! 🧬\n\nВ главном меню ты сможешь создать, просмотреть или редактировать напоминание 😯\n\nНажав на название препарата, можно перейти в магазин, чтобы изучить подробнее или даже купить! 💸\n\nДавай начнём, пиши: /menu 📌""" mainMenu: str = "🔮 Выбери действие:" edit: str = "🔮 Выбери действие:" start_addplan: str = "Я задам несколько вопросов, прошу отвечать корректно 🙆" drug_name_addplan: str = "Как называется препарат? 🤨" allday_message: str = "Напоминания будут приходить в течение дня: \n\nУтром - 08:00\nДнём - 12:00\nВечером - 18:00\n" idontknow: str = "Я не знаю, что с этим делать 🤷‍♀️\nНапомню, есть команда: /help" None_pills: str = "Пусто..\nКажется, у тебя ещё не добавлено никаких напоминаний 🧐 \nСамое время начать!🗿" pills_limit: str = "Хэй-хэй, слишком много таблеточек добавляешь! \nПопробуй удалить уже оконченные курсы..🗿" drug_exist: str = "Думаю, такой уже есть.. " input_error: str = "Попробуй ввести ещё раз.. " input_error_time: str = "Напиши что-то в формате: 19:00 или 09:25 " input_unreal: str = "Хм.. Не верю.. Попробуй ввести ещё раз " input_more_than_need: str = "Хм.. Не думаю, что стоит пить больше, чем нужно.. Попробуй ввести ещё раз " input_error_dose: str = "Напиши что-то в формате: 1 или 0.25 " exist_drug_and_dose: str = "Думаю, препарат с данной дозировкой уже есть.. " message = Messages()

40.057692

318

0.649544

305

2,083

4.498361

0.619672

0.005831

0.037172

0.043732

0.107143

0.078717

0.034985

0

0.014328

0.195871

2,083

51

319

40.843137

0.780896

0

0.28

0.613591

0.011905

0

1

0

false

0

0.08

0

0.84

0

null

0

1

0

null

0

2

2bbb687f364745f2b77d52b36e535e60715406d8

1,584

py

Python

reflexy/base/tests/test_reflex.py

eso/reflexy

5ea03bae806488c01a53ccffe9701066baa5964d

[ "BSD-3-Clause" ]

null

reflexy/base/tests/test_reflex.py

eso/reflexy

5ea03bae806488c01a53ccffe9701066baa5964d

[ "BSD-3-Clause" ]

null

reflexy/base/tests/test_reflex.py

eso/reflexy

5ea03bae806488c01a53ccffe9701066baa5964d

[ "BSD-3-Clause" ]

null

import unittest from reflexy.base import reflex class TestReflexModule(unittest.TestCase): sof = 'datasetname|file1.fits;PRO_CATG1;PURPOSE1:PURPOSE2,file2;' \ 'PRO_CAT2;PURPOSE1' sopexp = [('long_param1', '3'), ('param2', '3'), ('param3', 'ser'), ('param_not_shown', 'none')] sop = 'recipe_name:long_param1=3,recipe_name:param2=3,' \ 'recipe_name:param3=ser,recipe_name:param_not_shown=none' def test_parseSof(self): r = reflex.parseSof(self.sof) self.assertEqual(len(r), 2) self.assertEqual(r.datasetName, 'datasetname') f1, f2 = r.files self.assertEqual(f1.name, 'file1.fits') self.assertEqual(f1.category, 'PRO_CATG1') self.assertEqual(len(f1.purposes), 2) self.assertIn('PURPOSE1', f1.purposes) self.assertIn('PURPOSE2', f1.purposes) self.assertEqual(f2.name, 'file2') self.assertEqual(f2.category, 'PRO_CAT2') self.assertEqual(len(f2.purposes), 1) self.assertEqual(f2.purposes[0], 'PURPOSE1') def test_parseRoundTripJson(self): r = reflex.parseSof(self.sof) j = r.toJSON() r2 = reflex.parseSofJson(j) self.assertEqual(r, r2) def test_parseSop(self): r = reflex.parseSop(self.sop) self.assertEqual(len(r), len(self.sopexp)) for p, ep in zip(r, self.sopexp): self.assertEqual(p.recipe, 'recipe_name') self.assertEqual(p.displayName, ep[0]) self.assertEqual(p.value, ep[1]) if __name__ == "__main__": unittest.main()

35.2

71

0.625631

196

1,584

4.923469

0.326531

0.217617

0.074611

0.035233

0.053886

0

0.035159

0.227904

1,584

44

72

36

0.753884

0

0.054054

0

0.195076

0.100379

0

0.432432

1

0.081081

false

0

0.054054

0

0.243243

0

null

1

0

null

0

1

0

2

2bd58136299dfe9fb78fc5afd520e4be379aa582

10,136

py

Python

accounts/serializers.py

aniruddha2000/foodfeeda

4dffbbe0310a1809c9743b3525e63bac8a8a0768

[ "Apache-2.0" ]

null

accounts/serializers.py

aniruddha2000/foodfeeda

4dffbbe0310a1809c9743b3525e63bac8a8a0768

[ "Apache-2.0" ]

null

accounts/serializers.py

aniruddha2000/foodfeeda

4dffbbe0310a1809c9743b3525e63bac8a8a0768

[ "Apache-2.0" ]

1

2022-03-17T12:47:40.000Z

from django.contrib.auth.password_validation import validate_password from django.contrib.auth.tokens import PasswordResetTokenGenerator from django.utils.encoding import force_str from django.utils.http import urlsafe_base64_decode from rest_framework.exceptions import AuthenticationFailed from rest_framework.serializers import ( CharField, EmailField, ModelSerializer, Serializer, ValidationError) from rest_framework.validators import UniqueValidator from rest_framework_simplejwt.serializers import TokenObtainPairSerializer from accounts.models import NGO, CustomUser, Donner class MyTokenObtainPairSerializer(TokenObtainPairSerializer): @classmethod def get_token(cls, user): token = super(MyTokenObtainPairSerializer, cls).get_token(user) # Add custom claims token["email"] = user.email token["type"] = user.type return token class DonnerDetailSerializer(ModelSerializer): class Meta: model = Donner exclude = ( "is_superuser", "is_staff", "last_login", "password", "country", "user_permissions", "groups", ) class NGODetailSerializer(ModelSerializer): class Meta: model = NGO exclude = ( "is_superuser", "is_staff", "last_login", "password", "country", "user_permissions", ) class DonnerRegisterSerializer(ModelSerializer): email = EmailField( required=True, validators=[UniqueValidator(queryset=Donner.objects.all())] ) password = CharField(write_only=True, required=True, validators=[validate_password]) password2 = CharField(write_only=True, required=True) class Meta: model = Donner fields = ( "id", "type", "email", "password", "password2", "first_name", "last_name", "phone_number", "country", "state", "city", "pin", "DOB", "profile_photo", ) extra_kwargs = { "first_name": {"required": True}, "last_name": {"required": True}, "password": {"write_only": True}, "password2": {"write_only": True}, } def validate(self, attrs): if attrs["password"] != attrs["password2"]: raise ValidationError( {"password": "Password fields didn't match."}) return attrs def create(self, validated_data): user = Donner.objects.create( email=validated_data["email"], first_name=validated_data["first_name"], last_name=validated_data["last_name"], type=validated_data["type"], country=validated_data["country"], phone_number=validated_data["phone_number"], state=validated_data["state"], city=validated_data["city"], pin=validated_data["pin"], DOB=validated_data["DOB"], profile_photo=validated_data["profile_photo"], ) user.set_password(validated_data["password"]) user.save() return user class NGORegisterSerializer(ModelSerializer): email = EmailField( required=True, validators=[UniqueValidator(queryset=Donner.objects.all())] ) password = CharField(write_only=True, required=True, validators=[validate_password]) password2 = CharField(write_only=True, required=True) class Meta: model = NGO fields = ( "id", "email", "password", "password2", "name", "phone_number", "type", "country", "state", "city", "pin", "ngo_approval_cert", ) extra_kwargs = { "name": {"required": True}, "password": {"write_only": True}, "password2": {"write_only": True}, } def validate(self, attrs): if attrs["password"] != attrs["password2"]: raise ValidationError( {"password": "Password fields didn't match."}) return attrs def create(self, validated_data): user = NGO.objects.create( email=validated_data["email"], name=validated_data["name"], type=validated_data["type"], phone_number=validated_data["phone_number"], country=validated_data["country"], state=validated_data["state"], city=validated_data["city"], pin=validated_data["pin"], ngo_approval_cert=validated_data["ngo_approval_cert"], ) user.set_password(validated_data["password"]) user.save() return user class DonnerChangePasswordSerializer(ModelSerializer): password = CharField( write_only=True, required=True, validators=[validate_password]) password2 = CharField(write_only=True, required=True) old_password = CharField(write_only=True, required=True) class Meta: model = Donner fields = ('old_password', 'password', 'password2') def validate(self, attrs): if attrs['password'] != attrs['password2']: raise ValidationError( {"password": "Password fields didn't match."}) return attrs def validate_old_password(self, value): user = self.context['request'].user if not user.check_password(value): raise ValidationError( {"old_password": "Old password is not correct"}) return value def update(self, instance, validated_data): instance.set_password(validated_data['password']) instance.save() return instance class NGOChangePasswordSerializer(ModelSerializer): password = CharField( write_only=True, required=True, validators=[validate_password]) password2 = CharField(write_only=True, required=True) old_password = CharField(write_only=True, required=True) class Meta: model = NGO fields = ('old_password', 'password', 'password2') def validate(self, attrs): if attrs['password'] != attrs['password2']: raise ValidationError( {"password": "Password fields didn't match."}) return attrs def validate_old_password(self, value): user = self.context['request'].user if not user.check_password(value): raise ValidationError( {"old_password": "Old password is not correct"}) return value def update(self, instance, validated_data): instance.set_password(validated_data['password']) instance.save() return instance class DonnerUpdateUserSerializer(ModelSerializer): class Meta: model = Donner fields = ( "first_name", "last_name", "phone_number", "country", "state", "city", "pin", "DOB", "profile_photo", ) def validate_email(self, value): user = self.context['request'].user if Donner.objects.exclude(pk=user.pk).filter(email=value).exists(): raise ValidationError({"email": "This email is already in use."}) return value def update(self, instance, validated_data): instance.first_name = validated_data['first_name'] instance.last_name = validated_data['last_name'] instance.phone_number = validated_data['phone_number'] instance.country = validated_data['country'] instance.state = validated_data['state'] instance.city = validated_data['city'] instance.pin = validated_data['pin'] instance.DOB = validated_data['DOB'] instance.profile_photo = validated_data['profile_photo'] instance.save() return instance class NGOUpdateUserSerializer(ModelSerializer): class Meta: model = NGO fields = ( "name", "phone_number", "country", "state", "city", "pin", "ngo_approval_cert", ) def validate_email(self, value): user = self.context['request'].user if NGO.objects.exclude(pk=user.pk).filter(email=value).exists(): raise ValidationError({"email": "This email is already in use."}) return value def update(self, instance, validated_data): instance.name = validated_data['name'] instance.phone_number = validated_data['phone_number'] instance.country = validated_data['country'] instance.state = validated_data['state'] instance.city = validated_data['city'] instance.pin = validated_data['pin'] instance.ngo_approval_cert = validated_data['ngo_approval_cert'] instance.save() return instance class EmailResetPasswordSerializer(Serializer): email = EmailField(min_length=5) class Meta: fields = ['email'] class SetNewPasswordSerializer(Serializer): password = CharField(min_length=6, max_length=100, write_only=True) uidb64 = CharField(min_length=1, write_only=True) token = CharField(min_length=1, write_only=True) class Meta: fields = ["password", "uidb64", "token"] def validate(self, attrs): try: password = attrs.get("password") uidb64 = attrs.get("uidb64") token = attrs.get("token") id = force_str(urlsafe_base64_decode(uidb64)) user = CustomUser.objects.get(id=id) if not PasswordResetTokenGenerator().check_token(user, token): raise AuthenticationFailed("The reset link is invalid", 401) user.set_password(password) user.save() return (user) except Exception: raise AuthenticationFailed("The reset link is invalid", 401)

29.811765

82

0.594909

965

10,136

6.081865

0.146114

0.101891

0.037655

0.037485

0.719543

0.671835

0.615267

0.59022

0.558869

0

0.00575

0.296468

10,136

339

83

29.899705

0.817277

0.001677

0

0.72119

0

0.136108

0

1

0.05948

false

0.204461

0.033457

0

0.289963

0

null

0

1

0

null

0

1

0

2

2bdae61f57803109d14c71c62a57ac97f4c10c5b

724

py

Python

v002/__init__.py

cgarcia-UCO/AgentSurvival

34c4b265c90f0b74fec8dbc65c275eb5cdd16ba3

[ "MIT" ]

null

v002/__init__.py

cgarcia-UCO/AgentSurvival

34c4b265c90f0b74fec8dbc65c275eb5cdd16ba3

[ "MIT" ]

null

v002/__init__.py

cgarcia-UCO/AgentSurvival

34c4b265c90f0b74fec8dbc65c275eb5cdd16ba3

[ "MIT" ]

null

try: from IPython import get_ipython if get_ipython().__class__.__name__ not in ['NoneType']: from IPython import display i_am_in_interatcive = True import pylab as pl pl.rcParams['figure.figsize'] = [13, 13] # print("INTERACTIVE") else: import matplotlib.pyplot as pl i_am_in_interatcive = False # print("NOT INTERACTIVE") except: import matplotlib.pyplot as pl i_am_in_interatcive = False # print("__INIT__ EXECUTED") from .Agent import Agent from .Enviroment_with_agents import Enviroment_with_agents from .Enviroment import Enviroment from .InOut_Simple_Laberinth import InOut_Simple_Laberinth, No_Walls_Laberinth import numpy as np

28.96

78

0.718232

94

724

5.180851

0.457447

0.01848

0.030801

0.098563

0.213552

0

0.007055

0.216851

724

24

79

30.166667

0.851852

0.099448

0

0.222222

0

0.033951

0

1

0

false

0

0.555556

0

0.555556

0

null

0

null

0

1

0

1

0

2

2bdcd33401ff8240d2bd02c4fb44f1db772552fb

1,587

py

Python

main.py

maxBombrun/lipidDroplets

d624b718a7f70c45c1058938d916b78aa14390a7

[ "BSD-3-Clause" ]

null

main.py

maxBombrun/lipidDroplets

d624b718a7f70c45c1058938d916b78aa14390a7

[ "BSD-3-Clause" ]

null

main.py

maxBombrun/lipidDroplets

d624b718a7f70c45c1058938d916b78aa14390a7

[ "BSD-3-Clause" ]

null

import os import csv import multiprocessing import settings import segmentNucAndGFP import cellProfilerGetRelation import measureGFPSize import plotFeatures import fusionCSV import clusterDroplets import computeZprime settings.init() CPPath=settings.pathList[0] inputDataPath=settings.pathList[1] resultPath=settings.pathList[2] outputDetPath=settings.pathList[3] inputCellProfilerPath=settings.pathList[4] outputCellProfilerPath=settings.pathList[5] nProc = multiprocessing.cpu_count() listPlates= [x for x in os.listdir(inputDataPath) if os.path.isdir(inputDataPath+x) and x.startswith('plate')] csv.register_dialect('unixpwd', delimiter=',',quotechar = '"', doublequote = True, skipinitialspace = False,lineterminator = '\n', quoting = csv.QUOTE_NONE) print listPlates ## Segmentation of the nuclei and the lipid droplets segmentNucAndGFP.segmentFatDroplet(listPlates) ## Cells approximation based on the previous segmentation ## and features extraction through CellProfiler cellProfilerGetRelation.runCellProfilerRelationship() ## Individual lipid droplet measurements ## Creation of size distribution vectors measureGFPSize.measureGFP() ## Classification of the cells based on the vectors clusterDroplets.getClusterOfDroplets(nbClass=2) ## Creation of CSV output, summarizing the measurements per-cell and per-well fusionCSV.getPerImageMeasurements() ## Plotting of the features plotFeatures.plotFeat() ## Validation of the features through the computation of the Zprime factor computeZprime.getZprime()

27.362069

158

0.7908

169

1,587

7.408284

0.568047

0.076677

0.015974

0

0.005102

0.135476

1,587

57

159

27.842105

0.907434

0.281033

0

0.015052

0

null

0

0.37931

null

0.034483

0

null

0

null

0

1

0

1

0

2

2bddb9b7282ff011959fc2aa41a6520b2612a723

503

py

Python

test/integration/test_load_shapefile_networkx_native.py

JoachimC/magicbox_distance

3706172315f406a391bb643d494dad121b858e97

[ "BSD-3-Clause" ]

null

test/integration/test_load_shapefile_networkx_native.py

JoachimC/magicbox_distance

3706172315f406a391bb643d494dad121b858e97

[ "BSD-3-Clause" ]

12

2018-08-11T13:26:33.000Z

2018-10-16T15:36:16.000Z

test/integration/test_load_shapefile_networkx_native.py

JoachimC/magicbox_distance

3706172315f406a391bb643d494dad121b858e97

[ "BSD-3-Clause" ]

null

import unittest import networkx as nx class TestLoadColumbiaRoadsNetworkXNative(unittest.TestCase): def test_load(self): # https://data.humdata.org/dataset/d8f6feda-6755-4e84-bd14-5c719bc5f37a (hotosm_col_roads_lines_shp.zip) roads_file = "/Users/joachim/Downloads/hotosm_col_roads_lines_shp/hotosm_col_roads_lines.shp" # todo : ImportError: read_shp requires OGR: http://www.gdal.org/ G = nx.read_shp(roads_file) if __name__ == '__main__': unittest.main()

29.588235

112

0.739563

66

503

5.272727

0.666667

0.077586

0.12069

0.163793

0.189655

0

0.042353

0.15507

503

16

113

31.4375

0.776471

0.33002

0

0.257485

0.233533

0

0.0625

0

1

0.125

false

0

0.25

0

0.5

0

null

0

1

0

null

0

1

0

2

2bf76e6c71e2e4b130aa3da1d86af45c54dbc8eb

261

py

Python

Exercises/Exercise 15 - Hard.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

3

2019-07-02T13:46:23.000Z

2019-08-19T14:41:25.000Z

Exercises/Exercise 15 - Hard.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

null

Exercises/Exercise 15 - Hard.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

null

#Assignment 12 #create 2 files on Desktop: #input.txt #output.txt #inside input.txt write the following lines: #apple #orange #banana #cucumber #Your program will add an s to each line #and write it to output.txt #Hint: name = 'hello\n' # name.rstrip('\n')

20.076923

44

0.720307

44

261

4.272727

0.795455

0.085106

0

0.013761

0.164751

261

13

45

20.076923

0.848624

0.904215

0

null

0

null

0

null

0

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0

null

0

1

0

null

0

1

0

2

9210cd1a83170ca2842ecbe0ae9f1b20d789338b

219

py

Python

compare_two_values.py

jenildesai25/Visa_interview

9077d01e122267e5708b12293c8cb6d9801cdc46

[ "MIT" ]

null

compare_two_values.py

jenildesai25/Visa_interview

9077d01e122267e5708b12293c8cb6d9801cdc46

[ "MIT" ]

null

compare_two_values.py

jenildesai25/Visa_interview

9077d01e122267e5708b12293c8cb6d9801cdc46

[ "MIT" ]

null

VISA full time master's MCQ. def func(a, b): x = a y = b while x != y: if x > y: x = x - y if x < y: y = y - x return x or y print(func(2437, 875))

15.642857

29

0.374429

37

219

2.216216

0.513514

0.097561

0.121951

0.146341

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0.066038

0.515982

219

13

30

16.846154

0.707547

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null

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null

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0

null

0

1

0

null

0

1

0

2

92153cba78723d1570ff0bdccee6e07fae76883e

649

py

Python

consts.py

honey96dev/python-coinbase-tradingbot

ec5fad4336a10ed28c44373dc9509581dd96264f

[ "MIT" ]

1

2021-12-29T09:31:37.000Z

consts.py

honey96dev/python-coinbase-tradingbot

ec5fad4336a10ed28c44373dc9509581dd96264f

[ "MIT" ]

null

consts.py

honey96dev/python-coinbase-tradingbot

ec5fad4336a10ed28c44373dc9509581dd96264f

[ "MIT" ]

null

months_json = { "1": "January", "2": "February", "3": "March", "4": "April", "5": "May", "6": "June", "7": "July", "8": "August", "9": "September", "01": "January", "02": "February", "03": "March", "04": "April", "05": "May", "06": "June", "07": "July", "08": "August", "09": "September", "10": "October", "11": "November", "12": "December", } month_days = { "1": 31, "2": 28, "3": 31, "4": 30, "5": 31, "6": 30, "7": 31, "8": 31, "9": 30, "01": 31, "02": 28, "03": 31, "04": 30, "05": 31, "06": 30, "07": 31, "08": 31, "09": 30, "10": 31, "11": 30, "12": 31, }

12.98

20

0.391371

88

649

2.863636

0.454545

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0.229787

0.275809

649

49

21

13.244898

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1

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0

null

0

1

0

1

0

null

0

2

9219f5cfa01beb284c389cfb42e21e0246c37a82

1,063

py

Python

datumaro/datumaro/util/test_utils.py

godlikejay/cvat

50c40ba70dd8f890478068f29ce3de1057ec848c

[ "MIT" ]

2

2020-01-10T08:50:50.000Z

2020-01-23T06:11:11.000Z

datumaro/datumaro/util/test_utils.py

godlikejay/cvat

50c40ba70dd8f890478068f29ce3de1057ec848c

[ "MIT" ]

5

2022-02-13T20:46:25.000Z

2022-02-27T10:34:53.000Z

datumaro/datumaro/util/test_utils.py

godlikejay/cvat

50c40ba70dd8f890478068f29ce3de1057ec848c

[ "MIT" ]

1

2020-06-26T00:27:43.000Z

# Copyright (C) 2019 Intel Corporation # # SPDX-License-Identifier: MIT import inspect import os import os.path as osp import shutil def current_function_name(depth=1): return inspect.getouterframes(inspect.currentframe())[depth].function class FileRemover: def __init__(self, path, is_dir=False, ignore_errors=False): self.path = path self.is_dir = is_dir self.ignore_errors = ignore_errors def __enter__(self): return self # pylint: disable=redefined-builtin def __exit__(self, type=None, value=None, traceback=None): if self.is_dir: shutil.rmtree(self.path, ignore_errors=self.ignore_errors) else: os.remove(self.path) # pylint: enable=redefined-builtin class TestDir(FileRemover): def __init__(self, path=None, ignore_errors=False): if path is None: path = osp.abspath('temp_%s' % current_function_name(2)) os.makedirs(path, exist_ok=ignore_errors) super().__init__(path, is_dir=True, ignore_errors=ignore_errors)

27.25641

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0.687676

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1,063

4.971223

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0.156295

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0.063676

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1,063

39

74

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0

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0

null

0

null

0

1

0

1

0

2

ecfcea4ccf7a5523cf5c703502dd1432cbaa0c9e

3,545

py

Python

oncopolicy/models/deterministic_progression.py

yala/Tempo

bf3e0e78d64869bb2079c582a4a35982f78386ad

[ "MIT" ]

6

2022-01-15T11:57:19.000Z

2022-02-13T21:15:22.000Z

oncopolicy/models/deterministic_progression.py

yala/Tempo

bf3e0e78d64869bb2079c582a4a35982f78386ad

[ "MIT" ]

null

oncopolicy/models/deterministic_progression.py

yala/Tempo

bf3e0e78d64869bb2079c582a4a35982f78386ad

[ "MIT" ]

2

2022-02-02T13:09:29.000Z

2022-02-18T07:06:19.000Z

import torch import torch.nn as nn from oncopolicy.models.factory import RegisterModel import pdb class AbstractDeterministicGuideline(nn.Module): def __init__(self, args): super(AbstractDeterministicGuideline, self).__init__() self.args = args self.max_steps = args.max_steps def get_logprob(self, z): z = z.unsqueeze(1) return torch.log(torch.cat([1-z, z], dim =1)) def get_prob(self, z): return z @RegisterModel("last_observed_risk") class LastObservedRisk(AbstractDeterministicGuideline): ''' Deterministic risk progression model. Predict observed risk doesnt change from last observation ''' def __init__(self, args): super(LastObservedRisk, self).__init__(args) self.max_pool = nn.MaxPool1d(kernel_size=self.max_steps, stride=1) def forward(self, x, batch): ''' Forward func used in training/eval risk progression model. args: - x: tensor of shape [B, self.max_steps, args.risk_dimension], with 0s for unobserved - batch: full batch obj, contains 'oberved tensor' returns: - z: tensor of shape [B, self.max_steps, args.risk_dimension], with last observed risk for each dim ''' B, _, D = x.size() obsereved_key = 'observed' if 'observed' in batch else 'progression_observed' obs = batch[obsereved_key] # shape [B, self.max_steps] indicies = torch.arange(start=0, end=self.max_steps).unsqueeze(0).expand([B,self.max_steps]).to(self.args.device) obs_indicies = (obs.float() * indicies.float()).unsqueeze(1) obs_indicies_w_pad = torch.cat([torch.zeros([B, 1, self.max_steps]).to(self.args.device), obs_indicies[:,:,:-1]], dim=-1) indices_of_most_recent = self.max_pool(obs_indicies_w_pad).long().transpose(1,2).expand(B, self.max_steps, D) z = torch.gather(x, dim=1, index=indices_of_most_recent) return z, None @RegisterModel("static_risk") class StaticRisk(AbstractDeterministicGuideline): ''' Deterministic risk progression model. Predict observed risk doesnt change from first observation. Assume static ''' def __init__(self, args): super(StaticRisk, self).__init__(args) def forward(self, x, batch): ''' Forward func used in training/eval risk progression model. args: - x: tensor of shape [B, self.max_steps, args.risk_dimension], with 0s for unobserved - batch: full batch obj, contains 'oberved tensor' returns: - z: tensor of shape [B, self.max_steps, args.risk_dimension], with last observed risk for each dim ''' z = x[:,0,:].unsqueeze(1).expand_as(x).contiguous() return z, None @RegisterModel("random") class Random(AbstractDeterministicGuideline): ''' Predict rand risk at each timestep. ''' def __init__(self, args): super(Random, self).__init__(args) def forward(self, x, batch): ''' Forward func used in training/eval risk progression model. args: - x: tensor of shape [B, self.max_steps, args.risk_dimension], with 0s for unobserved - batch: full batch obj, contains 'oberved tensor' returns: - z: tensor of shape [B, MAX_STEPS, args.risk_dimension], with last observed risk for each dim ''' z = torch.sigmoid( torch.randn_like(x).to(x.device)) return z, None

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0.007148

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3,545

94

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false

0

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0

null

0

null

0

1

0

1

0

2

a6049452e4aac0634d91765ee03449bd362ab74a

1,046

py

Python

swagger_ui/__init__.py

dirkgomez/voice-skill-sdk

ff8a3cc226f48d65fe9ad06741a03b8205f1f0b5

[ "MIT" ]

null

swagger_ui/__init__.py

dirkgomez/voice-skill-sdk

ff8a3cc226f48d65fe9ad06741a03b8205f1f0b5

[ "MIT" ]

null

swagger_ui/__init__.py

dirkgomez/voice-skill-sdk

ff8a3cc226f48d65fe9ad06741a03b8205f1f0b5

[ "MIT" ]

null

# # voice-skill-sdk # # (C) 2020, Deutsche Telekom AG # # Deutsche Telekom AG and all other contributors / # copyright owners license this file to you 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 pathlib import Path from bottle import get, static_file, redirect here: Path = Path(__file__).absolute().parent UI_ROOT = here / 'node_modules/swagger-ui-dist' @get('/') def root(): return redirect('/swagger-ui/') @get('/swagger-ui/') @get('/swagger-ui/<filename:path>') def send_static(filename=None): return static_file(filename or 'index.html', root=UI_ROOT)

26.820513

62

0.739006

156

1,046

4.891026

0.589744

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0.044561

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0.04325

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0.545455

0

null

0

null

0

1

0

2

a61fb4cae066d888d2f215862b59d8af6c32f27d

537

py

Python

src/mainmodulename/plugins/type_one_plugin/__init__.py

portikCoder/basic_python_plugin_project

3176f6d5683ec03ec670ebda7ca6513289c72699

[ "MIT" ]

1

2021-04-09T20:10:04.000Z

src/mainmodulename/plugins/type_one_plugin/__init__.py

portikCoder/basic_python_plugin_project

3176f6d5683ec03ec670ebda7ca6513289c72699

[ "MIT" ]

1

2021-02-06T21:48:45.000Z

src/mainmodulename/plugins/type_one_plugin/__init__.py

portikCoder/basic_python_plugin_project

3176f6d5683ec03ec670ebda7ca6513289c72699

[ "MIT" ]

null

# Copyright (c) 2021 portikCoder. All rights reserved. # See the license text under the root package. from typing import Type from mainmodulename.common.plugin_template import Plugin from mainmodulename.plugins.type_one_plugin.type_one_plugin import TypeOnePlugin PLUGIN_CLASS: Type[Plugin] = TypeOnePlugin ALIASES = ['ctr', 'ctr_plugin', 'CtrFileNamePlugin'] def get_plugin_class() -> Type[Plugin]: """ If need some logic before returning the class itself purely, put it here. :return: """ return PLUGIN_CLASS

29.833333

80

0.757914

70

537

5.671429

0.614286

0.083123

0.065491

0.105793

0

0.008869

0.160149

537

17

81

31.588235

0.871397

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0

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0

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false

0

0.428571

0

0.714286

0

null

0

null

0

1

0

1

0

2

a6353e0352eb39b16f50a9f0e0699f0ab72b2a30

756

py

Python

22. Generate Parentheses/solution1.py

sunshot/LeetCode

8f6503201831055f1d49ed3abb25be44a13ec317

[ "MIT" ]

null

22. Generate Parentheses/solution1.py

sunshot/LeetCode

8f6503201831055f1d49ed3abb25be44a13ec317

[ "MIT" ]

null

22. Generate Parentheses/solution1.py

sunshot/LeetCode

8f6503201831055f1d49ed3abb25be44a13ec317

[ "MIT" ]

null

from typing import List class Solution: def generateParenthesis(self, n: int) -> List[str]: if n == 0: return [''] if n == 1: return ['()'] if n == 2: result = [] result.append('()()') result.append('(())') return result ans = [] for i in range(n): for left in self.generateParenthesis(i): for right in self.generateParenthesis(n-1-i): ans.append('({}){}'.format(left, right)) return ans if __name__== '__main__': solution = Solution() n = 3 ans = solution.generateParenthesis(n) print(ans) n = 4 ans = solution.generateParenthesis(n) print(ans)

26.068966

61

0.488095

79

756

4.56962

0.405063

0.024931

0.049862

0.171745

0.216066

0

0.012712

0.375661

756

29

62

26.068966

0.752119

0

0.153846

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0

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0

0.038462

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0.269231

0.076923

0

null

0

1

0

1

0

null

0

2

a63c831ec9710b64344fb7dfa36c7cec29b0cae2

358

py

Python

Intern/variables2.py

AalsiCodeMan/Notebook-Ex

fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7

[ "Unlicense" ]

1

2020-06-28T12:35:55.000Z

Intern/variables2.py

AalsiCodeMan/Notebook-Ex

fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7

[ "Unlicense" ]

1

2021-10-02T05:33:51.000Z

2021-10-02T05:34:02.000Z

Intern/variables2.py

AalsiCodeMan/Notebook-Ex

fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7

[ "Unlicense" ]

3

2020-10-17T08:19:02.000Z

2021-10-11T12:33:18.000Z

## Data Categorisation ''' 1) Whole Number (Ints) - 100, 1000, -450, 999 2) Real Numbers (Floats) - 33.33, 44.01, -1000.033 3) String - "Bangalore", "India", "Raj", "abc123" 4) Boolean - True, False Variables in python are dynamic in nature ''' a = 10 print(a) print(type(a)) a = 10.33 print(a) print(type(a)) a = 'New Jersey' print(a) print(type(a))

14.916667

50

0.636872

60

358

3.8

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0.197368

0.219298

0.149123

0

0.139456

0.178771

358

23

51

15.565217

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0

0.666667

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0

null

0

1

0

null

0

1

0

2

a63d1ac18dbb8521b652e406baf4c3ebd14d1bd4

1,281

py

Python

PycharmProjects/PythonExercicios/ex045.py

RodrigoMASRamos/Projects.py

ed15981b320914c9667305dcd5fb5b7906fd9b00

[ "MIT" ]

null

PycharmProjects/PythonExercicios/ex045.py

RodrigoMASRamos/Projects.py

ed15981b320914c9667305dcd5fb5b7906fd9b00

[ "MIT" ]

null

PycharmProjects/PythonExercicios/ex045.py

RodrigoMASRamos/Projects.py

ed15981b320914c9667305dcd5fb5b7906fd9b00

[ "MIT" ]

null

# Exercício Python #045 - GAME: Pedra Papel e Tesoura # # Crie um programa que faça o computador jogar JOKENPÔ com você. # Aprenda a arrumar as cores nas respostas! from random import choice from random import randint # Maneira utilizada na resolução deste exercício from time import sleep print('\033[1;31mATENÇÃO! ESTE É UM JOGO ALTAMENTE PERIGOSO ONDE NÃO HÁ CHANCES DE VITÓRIA PARA VOCÊ!\033[m') Uc = input('\033[0;30mMe diga, \033[1;34mó grande jogador, \033[0;30mvocê escolhe \033[1;35mPEDRA, \033[1;31mPAPEL, ' '\033[0;30mou \033[1;36mTESOURA? ').strip().upper() PC = ['\033[1;35mPEDRA\033[m', '\033[1;31mPAPEL\033[m', '\033[1;36mTESOURA\033[m'] PCc = choice(PC) sleep(0.5) print('JO') sleep(1) print('KEN') sleep(1) print('PO!') if PCc == 'PEDRA' and Uc == 'TESOURA' or PCc == 'TESOURA' and Uc == 'PAPEL' or PCc == 'PAPEL' and Uc == 'PEDRA': print(f'\033[1;31mHAHAHA! Eu venci! \033[0;30mEu escolhi \033[m{PCc} \033[0;30me você \033[m{Uc}\033[0;30m!') elif PCc == Uc: print(f'\033[1;33mEMPATE! Vamos jogar novamente! Eu escolhi \033[m{PCc} \033[0;30me você \033[m{Uc}') else: print(f'\033[0;34mT-T Infelizmente,\033[1;32mvocê venceu... \033[0;30mEu escolhi \033[m{PCc}, \033[0;30me você ' f'escolheu \033[m{Uc}\033[0;30m...\033[m')

38.818182

117

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1,281

3.865471

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118

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0.634775

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0

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0.333333

0

null

0

1

0

null

0

2

a644ae4c04f7d11053b8e2b79110bf1aa7213f69

1,882

py

Python

tests/script/test_p2pk.py

meherett/btmhdw

6929750edb7747a9937806272127c98db86e4c98

[ "MIT" ]

3

2019-06-02T06:31:06.000Z

2019-06-16T20:46:38.000Z

tests/script/test_p2pk.py

meherett/btmhdw

6929750edb7747a9937806272127c98db86e4c98

[ "MIT" ]

3

2020-09-10T04:40:58.000Z

2021-06-25T15:38:35.000Z

tests/script/test_p2pk.py

meherett/btmhdw

6929750edb7747a9937806272127c98db86e4c98

[ "MIT" ]

1

2020-08-11T07:48:19.000Z

#!/usr/bin/env python3 import json import os from pybytom.script import ( get_public_key_hash, get_p2pkh_program, get_p2wpkh_program, get_p2wpkh_address ) # Test Values base_path = os.path.dirname(__file__) file_path = os.path.abspath(os.path.join(base_path, "..", "values.json")) values = open(file_path, "r") _ = json.loads(values.read()) values.close() def test_p2pk(): assert get_public_key_hash( public_key=_["script"]["p2pk"]["public_key"] ) == _["script"]["p2pk"]["public_key_hash"] assert get_p2pkh_program( public_key_hash=_["script"]["p2pk"]["public_key_hash"] ) == _["script"]["p2pk"]["program"]["p2pkh"] assert get_p2wpkh_program( public_key_hash=_["script"]["p2pk"]["public_key_hash"] ) == _["script"]["p2pk"]["program"]["p2wpkh"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="mainnet", vapor=False ) == _["script"]["p2pk"]["address"]["mainnet"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="solonet", vapor=False ) == _["script"]["p2pk"]["address"]["solonet"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="testnet", vapor=False ) == _["script"]["p2pk"]["address"]["testnet"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="mainnet", vapor=True ) == _["script"]["p2pk"]["vapor_address"]["mainnet"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="solonet", vapor=True ) == _["script"]["p2pk"]["vapor_address"]["solonet"] assert get_p2wpkh_address( public_key_hash=_["script"]["p2pk"]["public_key_hash"], network="testnet", vapor=True ) == _["script"]["p2pk"]["vapor_address"]["testnet"]

37.64

94

0.658874

230

1,882

4.978261

0.178261

0.165066

0.215721

0.165939

0.703057

0.654148

0.557205

0

0.020333

0.13762

1,882

49

95

38.408163

0.685151

0.017535

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0

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0

null

0

1

0

null

0

2

a64954da5abc2b618672c110a9d724b19813f598

9,145

py

Python

benchmarks/compare_with_others.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

57

2021-01-14T12:01:19.000Z

2022-03-02T10:54:43.000Z

benchmarks/compare_with_others.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

7

2021-02-15T16:28:55.000Z

2021-07-23T10:58:21.000Z

benchmarks/compare_with_others.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

2

2021-01-21T05:35:58.000Z

2021-04-02T08:28:06.000Z

#!/usr/bin/env python3 """Benchmark icontract against deal when used together with hypothesis.""" import os import sys import timeit from typing import List import deal import dpcontracts import hypothesis import hypothesis.extra.dpcontracts import hypothesis.strategies import icontract import tabulate import icontract_hypothesis def benchmark_icontract_assume_preconditions(arg_count: int = 1) -> None: """Benchmark the Hypothesis testing with icontract and rejection sampling.""" count = 0 if arg_count == 1: @icontract.require(lambda a: a > 0) def some_func(a: int) -> None: nonlocal count count += 1 pass assume_preconditions = icontract_hypothesis.make_assume_preconditions(some_func) @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given(a=hypothesis.strategies.integers()) def execute(a: int) -> None: assume_preconditions(a) some_func(a) elif arg_count == 2: @icontract.require(lambda a: a > 0) @icontract.require(lambda b: b > 0) def some_func(a: int, b: int) -> None: nonlocal count count += 1 pass assume_preconditions = icontract_hypothesis.make_assume_preconditions(some_func) @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given( a=hypothesis.strategies.integers(), b=hypothesis.strategies.integers() ) def execute(a: int, b: int) -> None: assume_preconditions(a=a, b=b) some_func(a, b) elif arg_count == 3: @icontract.require(lambda a: a > 0) @icontract.require(lambda b: b > 0) @icontract.require(lambda c: c > 0) def some_func(a: int, b: int, c: int) -> None: nonlocal count count += 1 pass assume_preconditions = icontract_hypothesis.make_assume_preconditions(some_func) @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given( a=hypothesis.strategies.integers(), b=hypothesis.strategies.integers(), c=hypothesis.strategies.integers(), ) def execute(a: int, b: int, c: int) -> None: assume_preconditions(a=a, b=b, c=c) some_func(a, b, c) else: raise NotImplementedError("arg_count {}".format(arg_count)) execute() # Assert the count of function executions for fair tests assert count == 100 def benchmark_icontract_inferred_strategy(arg_count: int = 1) -> None: """Benchmark the Hypothesis testing with icontract and inferred search strategies.""" count = 0 if arg_count == 1: @icontract.require(lambda a: a > 0) def some_func(a: int) -> None: nonlocal count count += 1 pass elif arg_count == 2: @icontract.require(lambda a: a > 0) @icontract.require(lambda b: b > 0) def some_func(a: int, b: int) -> None: nonlocal count count += 1 pass elif arg_count == 3: @icontract.require(lambda a: a > 0) @icontract.require(lambda b: b > 0) @icontract.require(lambda c: c > 0) def some_func(a: int, b: int, c: int) -> None: nonlocal count count += 1 pass else: raise NotImplementedError("arg_count {}".format(arg_count)) icontract_hypothesis.test_with_inferred_strategy(some_func) # Assert the count of function executions for fair tests assert count == 100 def benchmark_dpcontracts(arg_count: int = 1) -> None: """Benchmark the Hypothesis testing with dpcontracts.""" count = 0 if arg_count == 1: @dpcontracts.require("some dummy contract", lambda args: args.a > 0) def some_func(a: int) -> None: nonlocal count count += 1 pass @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given(a=hypothesis.strategies.integers()) def execute(a: int) -> None: hypothesis.extra.dpcontracts.fulfill(some_func)(a) elif arg_count == 2: @dpcontracts.require("some dummy contract", lambda args: args.a > 0) @dpcontracts.require("some dummy contract", lambda args: args.b > 0) def some_func(a: int, b: int) -> None: nonlocal count count += 1 pass @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given( a=hypothesis.strategies.integers(), b=hypothesis.strategies.integers() ) def execute(a: int, b: int) -> None: hypothesis.extra.dpcontracts.fulfill(some_func)(a, b) elif arg_count == 3: @dpcontracts.require("some dummy contract", lambda args: args.a > 0) @dpcontracts.require("some dummy contract", lambda args: args.b > 0) @dpcontracts.require("some dummy contract", lambda args: args.c > 0) def some_func(a: int, b: int, c: int) -> None: nonlocal count count += 1 pass @hypothesis.settings( suppress_health_check=(hypothesis.HealthCheck.filter_too_much,) ) @hypothesis.given( a=hypothesis.strategies.integers(), b=hypothesis.strategies.integers(), c=hypothesis.strategies.integers(), ) def execute(a: int, b: int, c: int) -> None: hypothesis.extra.dpcontracts.fulfill(some_func)(a, b, c) else: raise NotImplementedError("arg_count {}".format(arg_count)) execute() # Assert the count of function executions for fair tests assert count == 100 def benchmark_deal(arg_count: int = 1) -> None: """Benchmark the Hypothesis testing with deal.""" count = 0 if arg_count == 1: @deal.pre(lambda _: _.a > 0) def some_func(a: int) -> None: nonlocal count count += 1 pass for case in deal.cases(some_func, count=100): case() elif arg_count == 2: @deal.pre(lambda _: _.a > 0) @deal.pre(lambda _: _.b > 0) def some_func(a: int, b: int) -> None: nonlocal count count += 1 pass for case in deal.cases(some_func, count=100): case() elif arg_count == 3: @deal.pre(lambda _: _.a > 0) @deal.pre(lambda _: _.b > 0) @deal.pre(lambda _: _.c > 0) def some_func(a: int, b: int, c: int) -> None: nonlocal count count += 1 pass for case in deal.cases(some_func, count=100): case() else: raise NotImplementedError("arg_count {}".format(arg_count)) assert count == 100 def writeln_utf8(text: str = "") -> None: """ Write the text to STDOUT using UTF-8 encoding followed by a new-line character. We can not use ``print()`` as we can not rely on the correct encoding in Windows. See: https://stackoverflow.com/questions/31469707/changing-the-locale-preferred-encoding-in-python-3-in-windows """ sys.stdout.buffer.write(text.encode("utf-8")) sys.stdout.buffer.write(os.linesep.encode("utf-8")) def measure_functions() -> None: # yapf: disable funcs = [ 'benchmark_icontract_inferred_strategy', 'benchmark_icontract_assume_preconditions', 'benchmark_dpcontracts', 'benchmark_deal', ] # yapf: enable durations = [0.0] * len(funcs) number = 10 for arg_count in [1, 2, 3]: for i, func in enumerate(funcs): duration = timeit.timeit( "{}(arg_count={})".format(func, arg_count), setup="from __main__ import {}".format(func), number=number, ) durations[i] = duration table = [] # type: List[List[str]] for func, duration in zip(funcs, durations): # yapf: disable table.append([ '`{}`'.format(func), '{:.2f} s'.format(duration), '{:.2f} ms'.format(duration * 1000 / number), '{:.0f}%'.format(duration * 100 / durations[0]) ]) # yapf: enable # yapf: disable table_str = tabulate.tabulate( table, headers=['Case', 'Total time', 'Time per run', 'Relative time per run'], colalign=('left', 'right', 'right', 'right'), tablefmt='rst') # yapf: enable writeln_utf8() writeln_utf8("Argument count: {}".format(arg_count)) writeln_utf8() writeln_utf8(table_str) if __name__ == "__main__": writeln_utf8("Benchmarking Hypothesis testing:") writeln_utf8("") measure_functions()

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a6502bc8d3efa4a62ed9b5abd448b7a3fdc28b1d

12,184

py

Python

models/edhoc/draftedhoc-20200301/oracle.py

hoheinzollern/EDHOC-Verification

b62bb5192021b9cee52845943ba0c1999cb84119

[ "MIT" ]

null

models/edhoc/draftedhoc-20200301/oracle.py

hoheinzollern/EDHOC-Verification

b62bb5192021b9cee52845943ba0c1999cb84119

[ "MIT" ]

null

models/edhoc/draftedhoc-20200301/oracle.py

hoheinzollern/EDHOC-Verification

b62bb5192021b9cee52845943ba0c1999cb84119

[ "MIT" ]

null

#!/usr/bin/python3 import sys, re from functools import reduce DEBUG = False #DEBUG = True # Put prios between 0 and 100. Above 100 is for default strategy MAXNPRIO = 200 # max number of prios, 0 is lowest prio FALLBACKPRIO = MAXNPRIO # max number of prios, 0 is lowest prio prios = [(i, []) for i in range(MAXNPRIO + 1)] def outputPrios(goalLines, lemma): rankedGoals = [str(goal) + "\n" for prioList in prios for goal in prioList[1]] print("".join(rankedGoals)) def dumpPrios(goalLines, lemma): print("Prios:") for pl in prios: for p in pl[1]: print(" > level:{}, goalNo:{}".format(pl[0], p)) def prioritize(goalNumber, prio, goalLine): prios[prio][1].insert(0, goalNumber) if DEBUG: goal = re.sub("\s+", " ", goalLine) print("goalNo:{} prio:{} goal:{}".format(goalNumber, prio, goal)) def genPrios(goalLines, lemma): # Prioritize splitEqs over new instances # splitEqs = False # splitEqsLine = -1 # for i in range(len(goalLines)): # if re.match(".*splitEqs.*", goalLines[i]): # splitEqs = True # splitEqsLine = i for line in goalLines: goal = line.split(':')[0] if "sanity" in lemma: if DEBUG: print("MATCHING Sanity LEMMA: {}".format(lemma)) if re.match(".*SKRev.*", line) or\ re.match(".*Completed.*", line): prioritize(goal, 90, line) elif re.match(".*StR.*", line) or\ re.match(".*StI.*", line): prioritize(goal, 80, line) elif re.match(".*KU$ 'g'\^~xx $.*", line) or\ re.match(".*KU$ 'g'\^~yy $.*", line) or\ re.match(".*KU$ ~xx.*", line) or\ re.match(".*KU\( ~yy.*", line) or\ re.match(".*~~>.*", line) or\ re.match(".*=.*=.*", line): prioritize(goal, 70, line) elif re.match(".*LTK_.*", line): prioritize(goal, 67, line) elif re.match(".*aead.*", line): prioritize(goal, 65, line) elif re.match(".*KU\( sign.*", line) or\ re.match(".*KU\( extr.*", line) or\ re.match(".*KU\( expa.*", line): prioritize(goal, 60, line) elif re.match(".*KU\( h\(.*", line): prioritize(goal, 55, line) elif re.match(".*KU\( h\(.*", line): prioritize(goal, 55, line) else: prioritize(goal, 50, line) elif "authImplicit" in lemma: #"authGIYImplicitAuthGuarantee" in lemma: # Special for imp agree if DEBUG: print("MATCHING Auth LEMMA: {}".format(lemma)) if re.match(".*: !KU\( ~xx $.*", line) or\ re.match(".*: !KU$ ~yy $.*", line) or\ re.match(".*: !KU$ ~xx\.. $.*", line) or\ re.match(".*: !KU$ ~yy\.. $.*", line) or\ re.match(".*~~>.*", line) or\ re.match(".*: !KU$ 'g'\^~xx $.*", line) or\ re.match(".*: !KU$ 'g'\^~xx\.. $.*", line) or\ re.match(".*: !KU$ 'g'\^~yy $.*", line) or\ re.match(".*: !KU$ 'g'\^~yy\.. $.*", line) or\ re.match(".*: !KU$ ~ltk $.*", line) or\ re.match(".*: !KU$ ~ltk\.. $.*", line) or\ re.match(".*: !KU$ pk\(~ltk$ \).*", line) or\ re.match(".*: !KU$ 'g'\^~ltk $.*", line) or\ re.match(".*: !KU$ 'g'\^~ltk\.. $.*", line) or\ re.match(".*: !LTK_SIG\(.*", line) or\ re.match(".*: !LTK_STAT\(.*", line) or\ re.match(".*: !PK_SIG\(.*", line) or\ re.match(".*: !PK_STAT\(.*", line) or\ re.match(".*: StI._.*", line) or\ re.match(".*: StR._.*", line) or\ re.match(".*ExpRunning.*", line): prioritize(goal, 97, line) elif re.match(".*KU$ 'g'\^\(~yy.*\*~ltk.*", line) or\ re.match(".*KU\( 'g'\^\(~xx.*\*~ltk.*", line): prioritize(goal, 93, line) elif re.match(".*KU\( 'g'\^\(~xx.*\*~yy.*", line) or\ re.match(".*KU\( 'g'\^\(~yy.*\*~xx.*", line): prioritize(goal, 90, line) elif re.match(".*KU\( extr.*", line) or\ re.match(".*KU\( expa.*", line): prioritize(goal, 80, line) elif re.match(".*LTKRev.*", line) or\ re.match(".*sign.*", line) or\ re.match(".*aead.*", line): prioritize(goal, 70, line) elif re.match(".*KU\( h\(.*", line): prioritize(goal, 60, line) elif re.match(".*KU\( \(.V⊕.*", line): prioritize(goal, 40, line) else: prioritize(goal, 50, line) elif "auth" in lemma: if DEBUG: print("MATCHING Auth LEMMA: {}".format(lemma)) if re.match(".*KU\( ~ltk.*", line) or\ re.match(".*KU\( ~xx.*", line) or\ re.match(".*KU\( ~yy.*", line): prioritize(goal, 98, line) elif re.match(".*: !KU\( ~xx $.*", line) or\ re.match(".*: !KU$ ~yy $.*", line) or\ re.match(".*: !KU$ ~xx\.. $.*", line) or\ re.match(".*: !KU$ ~yy\.. $.*", line) or\ re.match(".*~~>.*", line) or\ re.match(".*: !KU$ 'g'\^~xx $.*", line) or\ re.match(".*: !KU$ 'g'\^~xx\.. $.*", line) or\ re.match(".*: !KU$ 'g'\^~yy $.*", line) or\ re.match(".*: !KU$ 'g'\^~yy\.. $.*", line) or\ re.match(".*: !KU$ ~ltk $.*", line) or\ re.match(".*: !KU$ ~ltk\.. $.*", line) or\ re.match(".*: !KU$ pk\(~ltk$ \).*", line) or\ re.match(".*: !KU$ 'g'\^~ltk $.*", line) or\ re.match(".*: !KU$ 'g'\^~ltk\.. $.*", line) or\ re.match(".*: !LTK_SIG$.*", line) or\ re.match(".*: !LTK_STAT\(.*", line) or\ re.match(".*: !PK_SIG\(.*", line) or\ re.match(".*: !PK_STAT\(.*", line) or\ re.match(".*: StI._.*", line) or\ re.match(".*: StR._.*", line) or\ re.match(".*ExpRunning.*", line): prioritize(goal, 90, line) elif \ re.match(".*aead.*", line) or\ re.match(".*KU\( expa.*", line) or\ re.match(".*KU\( extr.*", line): prioritize(goal, 87, line) elif re.match(".*KU\( 'g'\^~ltk.*$.*", line) or\ re.match(".*KU$ 'g'\^\(~ltk.*$.*", line) or\ re.match(".*Helper.*", line) or\ re.match(".*~~>.*", line) or\ re.match(".*=.*=.*", line): prioritize(goal, 85, line) elif re.match(".*KU$ 'g'\^\(~yy.*\*~ltk.*", line) or\ re.match(".*KU\( 'g'\^\(~xx.*\*~ltk.*", line): prioritize(goal, 80, line) elif re.match(".*KU\( 'g'\^\(~xx.*\*~yy.*", line) or\ re.match(".*KU\( 'g'\^\(~yy.*\*~xx.*", line): prioritize(goal, 75, line) elif re.match(".*LTKRev.*", line) or\ re.match(".*sign.*", line) or\ re.match(".*splitEqs.*", line) or\ re.match(".*StI.*", line) or\ re.match(".*StR.*", line): prioritize(goal, 70, line) elif re.match(".*KU\( h\(.*", line): prioritize(goal, 60, line) elif re.match(".*KU\( \(.V⊕.*", line): prioritize(goal, 40, line) else: prioritize(goal, 50, line) elif "AEAD" in lemma: if DEBUG: print("MATCHING AEAD LEMMA: {}".format(lemma)) if re.match(".*: !KU\( ~xx $.*", line) or\ re.match(".*: !KU$ ~yy $.*", line) or\ re.match(".*: !KU$ ~xx\.. $.*", line) or\ re.match(".*: !KU$ ~yy\.. $.*", line) or\ re.match(".*: !KU$ ~ltk $.*", line) or\ re.match(".*: !KU$ ~ltk\.. $.*", line) or\ re.match(".*: !KU$ ~AD_3.*", line): prioritize(goal, 90, line) elif \ re.match(".*KU\( 'g'\^\(~xx\*~yy$.*", line) or\ re.match(".*KU$ 'g'\^\(~ltk\*~yy$.*", line) or\ re.match(".*KU$ 'g'\^\(~ltk\*~xx$.*", line): prioritize(goal, 80, line) elif \ re.match(".*: !KU$ *aead\(.*", line) or\ re.match(".*: !KU\( *expa.*", line): re.match(".*: !KU\( *extr.*", line) or\ prioritize(goal, 70, line) elif \ re.match(".*last.*", line) or\ re.match(".*: !KU\( pk\(~ltk$ \).*", line) or\ re.match(".*: !KU$ 'g'\^~ltk $.*", line) or\ re.match(".*: !KU$ 'g'\^~ltk\.. $.*", line) or\ re.match(".*: !LTK_SIG$.*", line) or\ re.match(".*: !LTK_STAT\(.*", line) or\ re.match(".*: !PK_SIG\(.*", line) or\ re.match(".*: !PK_STAT\(.*", line) or\ re.match(".*: St.*", line): prioritize(goal, 60, line) else: prioritize(goal, 50, line) elif "secrecy" in lemma: if DEBUG: print("MATCHING Secrecy LEMMA: {}".format(lemma)) if re.match(".*KU\( ~ltk.*", line) or\ re.match(".*KU\( 'g'\^\(~ltk\*.*$.*", line): prioritize(goal, 97, line) elif re.match(".*KU$ ~xx.*", line) or\ re.match(".*KU\( ~yy.*", line) or\ re.match(".*Helper.*", line) or\ re.match(".*~~>.*", line) or\ re.match(".*=.*=.*", line): prioritize(goal, 95, line) elif re.match(".*KU\( 'g'\^\(~xx\*~yy$.*", line) or\ re.match(".*KU$ 'g'\^\(~yy\*~xx$.*", line): prioritize(goal, 90, line) elif \ re.match(".*KU\( expa.*", line) or\ re.match(".*KU\( extr.*", line): prioritize(goal, 80, line) elif re.match(".*LTKRev.*", line) or\ re.match(".*sign.*", line) or\ re.match(".*StI.*", line) or\ re.match(".*StR.*", line) or\ re.match(".*aead.*", line): prioritize(goal, 70, line) elif re.match(".*KU\( h\(.*", line): prioritize(goal, 60, line) elif re.match(".*KU\( \(.V⊕.*", line): prioritize(goal, 40, line) else: prioritize(goal, 50, line) else: if DEBUG: print("NO MATCH FOR LEMMA: {}".format(lemma)) exit(0) def echoOracle(goalLines, lemma): for line in goalLines: goal = line.split(':')[0] prioritize(goal, 0, line) def testMatch(pattern, tamarinString): if re.match(pattern, tamarinString): print("Matches!") else: print("Don't match!") if __name__ == "__main__": if sys.argv[1] == "testMatch": if len(sys.argv) != 4: print("usage: oracle.py testMatch pattern tamarinString") sys.exit(1) testMatch(sys.argv[2], sys.argv[3]) sys.exit(0) goalLines = sys.stdin.readlines() lemma = sys.argv[1] genPrios(goalLines, lemma) #echoOracle(goalLines, lemma) # We want 0 to be lowest prio, so reverse all level-lists and the list itself prios = [(p[0], p[1][::-1]) for p in prios][::-1] outputPrios(goalLines, lemma) #dumpPrios(goalLines, lemma)

43.514286

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a6645500bd9415fcb00c5c1063997449655e7a5b

464

py

Python

supriya/ugens/LFNoise1.py

deeuu/supriya

14fcb5316eccb4dafbe498932ceff56e1abb9d27

[ "MIT" ]

null

supriya/ugens/LFNoise1.py

deeuu/supriya

14fcb5316eccb4dafbe498932ceff56e1abb9d27

[ "MIT" ]

null

supriya/ugens/LFNoise1.py

deeuu/supriya

14fcb5316eccb4dafbe498932ceff56e1abb9d27

[ "MIT" ]

null

import collections from supriya import CalculationRate from supriya.synthdefs import UGen class LFNoise1(UGen): """ A ramp noise generator. :: >>> supriya.ugens.LFNoise1.ar() LFNoise1.ar() """ ### CLASS VARIABLES ### __documentation_section__ = "Noise UGens" _ordered_input_names = collections.OrderedDict([("frequency", 500.0)]) _valid_calculation_rates = (CalculationRate.AUDIO, CalculationRate.CONTROL)

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false

0

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1

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null

0

null

0

1

0

1

0

2

a66f853bf9f33f87146ba3858b82466747a4ba7f

133

py

Python

nicos_mlz/refsans/setups/elements/alphai.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

12

2019-11-06T15:40:36.000Z

2022-01-01T16:23:00.000Z

nicos_mlz/refsans/setups/elements/alphai.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

91

2020-08-18T09:20:26.000Z

2022-02-01T11:07:14.000Z

nicos_mlz/refsans/setups/elements/alphai.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

6

2020-01-11T10:52:30.000Z

2022-02-25T12:35:23.000Z

description = 'Alphai alias device' group = 'lowlevel' devices = dict( alphai = device('nicos.devices.generic.DeviceAlias'), )

16.625

57

0.706767

14

133

6.714286

0.785714

0

0.157895

133

7

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19

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0.451128

0.24812

0

1

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false

0

1

0

null

0

1

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null

0

2

a66fb86f66ae53aa1b1feda298a87c0ab06d20d0

268

py

Python

src/core/migrations/0055_merge_20190305_1616.py

metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3

c754d3b1b401906a21640b8eacb6b724a448b31c

[ "MIT" ]

null

src/core/migrations/0055_merge_20190305_1616.py

metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3

c754d3b1b401906a21640b8eacb6b724a448b31c

[ "MIT" ]

null

src/core/migrations/0055_merge_20190305_1616.py

metabolism-of-cities/ARCHIVED-metabolism-of-cities-platform-v3

c754d3b1b401906a21640b8eacb6b724a448b31c

[ "MIT" ]

null

# Generated by Django 2.1.2 on 2019-03-05 16:16 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('core', '0054_auto_20190305_1613'), ('core', '0054_merge_20190304_0758'), ] operations = [ ]

17.866667

47

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0.235075

268

14

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false

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0

0.5

0

null

0

1

0

1

0

null

0

2

a6844d436f3ac8eae3409198b262402806d0a4c7

1,022

py

Python

class3/exercises/exercise3/exercise3.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

null

class3/exercises/exercise3/exercise3.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

null

class3/exercises/exercise3/exercise3.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

null

from nornir import InitNornir from nornir.core.filter import F def main(): nr = InitNornir() print("\nExercise 3a (role AGG)") print("-" * 20) agg_devs = nr.filter(F(role__contains="AGG")) print(agg_devs.inventory.hosts) print("-" * 20) print("\nExercise 3b (sea or sfo group)") print("-" * 20) union = nr.filter(F(groups__contains="sea") | F(groups__contains="sfo")) print(union.inventory.hosts) print("-" * 20) print("\nExercise 3c (WAN-role and WIFI password 'racecar')") print("-" * 20) racecar = nr.filter( F(site_details__wifi_password__contains="racecar") & F(role="WAN") ) print(racecar.inventory.hosts) print("-" * 20) print("\nExercise 3d (WAN-role and not WIFI password 'racecar')") print("-" * 20) not_racecar = nr.filter( ~F(site_details__wifi_password__contains="racecar") & F(role="WAN") ) print(not_racecar.inventory.hosts) print("-" * 20) print() if __name__ == "__main__": main()

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0.620352

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1,022

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1,022

39

77

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0.129032

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0

null

0

null

0

1

0

1

0

2

a68c2fae55a4172bd6d6344ce187492035975eee

1,263

py

Python

app/analyzers/indicators/sar.py

r15ch13/crypto-signal

d423681223124278a3942cf2e930aafe5b84a855

[ "MIT" ]

4

2021-03-03T16:39:59.000Z

2021-08-28T21:05:34.000Z

app/analyzers/indicators/sar.py

r15ch13/crypto-signal

d423681223124278a3942cf2e930aafe5b84a855

[ "MIT" ]

1

2021-05-10T16:11:48.000Z

app/analyzers/indicators/sar.py

r15ch13/crypto-signal

d423681223124278a3942cf2e930aafe5b84a855

[ "MIT" ]

6

2019-03-07T10:58:45.000Z

2021-05-08T22:18:01.000Z

""" MACD Indicator """ import math import pandas from talib import abstract from analyzers.utils import IndicatorUtils class SAR(IndicatorUtils): def analyze(self, historical_data, signal=['sar'], hot_thresh=None, cold_thresh=None): """Performs a macd analysis on the historical data Args: historical_data (list): A matrix of historical OHCLV data. signal (list, optional): Defaults to macd. The indicator line to check hot/cold against. hot_thresh (float, optional): Defaults to None. The threshold at which this might be good to purchase. cold_thresh (float, optional): Defaults to None. The threshold at which this might be good to sell. Returns: pandas.DataFrame: A dataframe containing the indicators and hot/cold values. """ dataframe = self.convert_to_dataframe(historical_data) sar_values = abstract.SAR(dataframe).iloc[:] sar_values.dropna(how='all', inplace=True) if sar_values[signal[0]].shape[0]: sar_values['is_hot'] = sar_values[signal[0]] > hot_thresh sar_values['is_cold'] = sar_values[signal[0]] < cold_thresh return sar_values

33.236842

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0.648456

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1,263

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0.421384

0.090226

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0.06015

0.172932

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0.266825

1,263

37

98

34.135135

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0

null

0

null

0

1

0

1

0

2

a68d575600de2c24556e7348001ad2a913abac90

1,178

py

Python

tools/csv2kml.py

platypii/BASElineFlightComputer

7881febb680b32c88c7331563e6b4ed15db9a433

[ "MIT" ]

22

2016-06-28T15:18:25.000Z

2022-03-20T01:44:13.000Z

tools/csv2kml.py

Probot9/BASElineFlightComputer

cd449d32887e82d8a187586894cbd1a44c5b668a

[ "MIT" ]

5

2018-04-30T00:54:03.000Z

2020-01-30T18:11:45.000Z

tools/csv2kml.py

Probot9/BASElineFlightComputer

cd449d32887e82d8a187586894cbd1a44c5b668a

[ "MIT" ]

5

2015-05-27T03:26:49.000Z

2021-12-11T05:49:33.000Z

#!/usr/bin/python import sys if len(sys.argv) != 2: print 'Usage: csv2kml input.csv' exit() kml_header = """<?xml version=\"1.0\" encoding=\"UTF-8\"?> <kml xmlns=\"http://www.opengis.net/kml/2.2\" xmlns:gx=\"http://www.google.com/kml/ext/2.2\" xmlns:kml=\"http://www.opengis.net/kml/2.2\" xmlns:atom=\"http://www.w3.org/2005/Atom\"> <Document> <Style id=\"flight\"> <LineStyle> <color>ffff5500</color> <width>5</width> </LineStyle> </Style> <Folder> <name>Jump</name> <open>1</open> <Placemark> <name>Track</name> <styleUrl>#flight</styleUrl> <LineString> <tessellate>1</tessellate> <altitudeMode>absolute</altitudeMode> <coordinates>""" kml_footer = """ </coordinates> </LineString> </Placemark> </Folder> </Document> </kml> """ # Write KML file with open(sys.argv[1]) as f: # write kml header print kml_header # write point data for line in f: cols = line.split(',') if cols[1] == 'gps': lat = cols[5] lon = cols[6] alt = cols[7] print lon + ',' + lat + ',' + alt # write kml footer print kml_footer

21.418182

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0.081571

0

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0.237691

1,178

54

182

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0

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0

null

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0

null

0

1

0

null

0

1

0

2

a69449e89ea900074212b71558e97b166df355bd

1,388

py

Python

skassist-docs/python/doc_definitions.py

radmerti/scikit-assist

6ecd58608632c2ef8b52f6f71fd3695db522e22e

[ "BSD-2-Clause" ]

null

skassist-docs/python/doc_definitions.py

radmerti/scikit-assist

6ecd58608632c2ef8b52f6f71fd3695db522e22e

[ "BSD-2-Clause" ]

null

skassist-docs/python/doc_definitions.py

radmerti/scikit-assist

6ecd58608632c2ef8b52f6f71fd3695db522e22e

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # ______________________________________________________________________________ def boolean_func(experiment): """Function that returns True when an experiment matches and False otherwise. Args: experiment (:class:`~skassist.Experiment`): Experiment that is to be tested. """ # ______________________________________________________________________________ def scoring_function(self, model, y_true, y_predicted_probability): """The scoring function takes a model, the true labels and the prediction and calculates one or more scores. These are returned in a dictionary which :func:`~skassist.Model.calc_results` uses to commit them to permanent storage. Args: scoring_function (:func:`function`): A python function for calculating the results given the true labels and the predictions. See :func:`~skassist.Model.scoring_function`. skf (:obj:`numpy.ndarray`): An array containing arrays of splits. E.g. an array with 10 arrays, each containing 3 splits for a 10-fold cross-validation with training, test and validation set. df (:obj:`pandas.DataFrame`): The DataFrame on which to evaluate the model. Must contain all feature, "extra" feature and target columns that the model requires. """

42.060606

84

0.701009

159

1,388

5.08805

0.584906

0.074166

0.032138

0.039555

0.046972

0

0.005592

0.226945

1,388

33

85

42.060606

0.748369

0.852305

0

1

false

0

1

0

null

0

1

0

null

0

1

0

2

a696ee2566ea61b7ea08a6739c150d86fe1efe72

1,526

py

Python

bostaSDK/pickup/create/CreatePickupResponse.py

bostaapp/bosta-python

df3f48dafac49b2577669fd4d74a5e5e9d28f2c1

[ "MIT" ]

null

bostaSDK/pickup/create/CreatePickupResponse.py

bostaapp/bosta-python

df3f48dafac49b2577669fd4d74a5e5e9d28f2c1

[ "MIT" ]

1

2020-11-18T11:01:32.000Z

2020-11-18T11:10:52.000Z

bostaSDK/pickup/create/CreatePickupResponse.py

bostaapp/bosta-python

df3f48dafac49b2577669fd4d74a5e5e9d28f2c1

[ "MIT" ]

null

class CreatePickupResponse: def __init__(self, res): """ Initialize new instance from CreatePickupResponse class Parameters: res (dict, str): JSON response object or response text message Returns: instance from CreatePickupResponse """ self.fromResponseObj(res) def fromResponseObj(self, res): """ Extract _id, puid, business, businessLocationId, scheduledDate, scheduledTimeSlot, contactPerson, createdAt and updatedAt fields from json response object Parameters: res (dict, str): JSON response object or response text message """ if type(res) is dict and res.get('data') is not None: self.message = res.get("message") newPickup = res["data"] self._id = newPickup["_id"] self.puid = newPickup["puid"] self.business = newPickup["business"] self.businessLocationId = newPickup["businessLocationId"] self.scheduledDate = newPickup["scheduledDate"] self.scheduledTimeSlot = newPickup["scheduledTimeSlot"] self.contactPerson = newPickup["contactPerson"] self.createdAt = newPickup["createdAt"] self.updatedAt = newPickup["updatedAt"] else: self.message = str(res) def __str__(self): return self.message def get_pickupId(self): return self._id def get_message(self): return self.message

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1,526

6.450704

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0.043668

0.128821

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1,526

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false

0

0.125

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0

null

0

null

0

1

0

1

0

2

a6983bd2dae45fdbaac009e69a080431f0e315a5

522

py

Python

code/bot/mapping-bringup/launch/slam_launch.py

jacobwaller/beer-bot

60d89bee2029d87a870940081bd6ab93d05c4eca

[ "MIT" ]

null

code/bot/mapping-bringup/launch/slam_launch.py

jacobwaller/beer-bot

60d89bee2029d87a870940081bd6ab93d05c4eca

[ "MIT" ]

null

code/bot/mapping-bringup/launch/slam_launch.py

jacobwaller/beer-bot

60d89bee2029d87a870940081bd6ab93d05c4eca

[ "MIT" ]

null

from launch import LaunchDescription import launch_ros.actions from ament_index_python.packages import get_package_share_directory def generate_launch_description(): return LaunchDescription([ launch_ros.actions.Node( parameters=[ get_package_share_directory("slam_toolbox") + '/config/mapper_params_lifelong.yaml' ], package='slam_toolbox', executable='lifelong_slam_toolbox_node', name='slam_toolbox', output='screen' ) ])

30.705882

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0.683908

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522

6.358491

0.584906

0.130564

0.094955

0.142433

0

0.235632

522

17

96

30.705882

0.844612

0

1

0

0.196941

0.116635

0

1

0.066667

true

0

0.2

0.066667

0.333333

0

null

0

1

0

null

0

1

0

2

a69c6da5a24875fb6294bf1da51edf46e3db4865

475

py

Python

hw/hw09/tests/q1_3.py

ds-modules/Colab-demo

cccaff13633f8a5ec697cd4aeca9087f2feec2e4

[ "BSD-3-Clause" ]

null

hw/hw09/tests/q1_3.py

ds-modules/Colab-demo

cccaff13633f8a5ec697cd4aeca9087f2feec2e4

[ "BSD-3-Clause" ]

null

hw/hw09/tests/q1_3.py

ds-modules/Colab-demo

cccaff13633f8a5ec697cd4aeca9087f2feec2e4

[ "BSD-3-Clause" ]

null

test = { 'name': 'q1_3', 'points': 1, 'suites': [ { 'cases': [ {'code': '>>> type(max_estimate) in set([int, np.int32, np.int64])\nTrue', 'hidden': False, 'locked': False}, {'code': '>>> max_estimate in observations.column(0)\nTrue', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}

52.777778

144

0.414737

42

475

4.619048

0.714286

0.113402

0.134021

0.226804

0.278351

0

0.027027

0.376842

475

8

145

59.375

0.628378

0

0.414737

0.058947

0

1

0

false

0

null

0

1

0

1

0

null

0

2

a6a06d990fb107f6d173990c09e667ce4615e46e

283

py

Python

backend0bit/serializers.py

piotrb5e3/0bit-backend

1df105ab57d0ddde5868ae4b03b359e0c3f00b13

[ "Apache-2.0" ]

null

backend0bit/serializers.py

piotrb5e3/0bit-backend

1df105ab57d0ddde5868ae4b03b359e0c3f00b13

[ "Apache-2.0" ]

1

2020-06-05T19:21:04.000Z

backend0bit/serializers.py

piotrb5e3/0bit-backend

1df105ab57d0ddde5868ae4b03b359e0c3f00b13

[ "Apache-2.0" ]

null

from rest_framework import serializers from backend0bit.models import StaticPage class StaticPageSerializer(serializers.ModelSerializer): class Meta: model = StaticPage fields = ('id', 'title', 'url', 'contents', 'order') read_only_fields = ('order',)

25.727273

60

0.696113

28

283

6.928571

0.75

0

0.004405

0.19788

283

10

61

28.3

0.85022

0

0.09894

0

1

0

false

0

0.285714

0

0.571429

0

1

0

null

0

null

0

1

0

2

a6a1b6d7205087acf58bd99258d54c81c8cb5272

6,538

py

Python

test_routes.py

Varini/CHALLENGE_SFNewsAPI

439bf7dfc10f83466786f6bd054afc8ab07b1b58

[ "MIT" ]

null

test_routes.py

Varini/CHALLENGE_SFNewsAPI

439bf7dfc10f83466786f6bd054afc8ab07b1b58

[ "MIT" ]

null

test_routes.py

Varini/CHALLENGE_SFNewsAPI

439bf7dfc10f83466786f6bd054afc8ab07b1b58

[ "MIT" ]

null

from operator import index from fastapi.testclient import TestClient from index import app client = TestClient(app) def test_get_item(): response = client.get("/articles/10000") assert response.status_code == 200 assert response.json() == {"id": 10000, "title": "NASA TV to Air Launch of Space Station Module, Departure of Another", "url": "http://www.nasa.gov/press-release/nasa-tv-to-air-launch-of-space-station-module-departure-of-another", "imageUrl": "https://www.nasa.gov/sites/default/files/thumbnails/image/mlm_at_baikonur.jpg?itok=SrfC6Yzm", "newsSite": "NASA", "summary": "NASA will provide live coverage of a new Russian science module’s launch and automated docking to the International Space Station, and the undocking of another module that has been part of the orbital outpost for the past 20 years.", "publishedAt": "2021-07-13T20:22:00.000Z", "updatedAt": "2021-07-13T20:22:06.617Z", "featured": False, "launches": [{"id": "27fd5d5a-6935-4697-98b4-b409f029e2f0", "provider": "Launch Library 2"}], "events": [{"id": 268, "provider": "Launch Library 2"}]} def test_get_invalid_id(): id = 9999999999 response = client.get(f"/articles/{id}") assert response.status_code == 404 assert response.json() == {"detail": f"Article ID: {id} not found"} def test_get_non_integer_id(): response = client.get("/articles/abc") assert response.status_code == 422 assert response.json()[ "detail"][0]["msg"] == "value is not a valid integer" def test_create_item(): response = client.post("/articles/", json={ "title": "No commercial crew test flights expected this year", "url": "https://spaceflightnow.com/2018/10/06/no-commercial-crew-test-flights-expected-this-year/", "imageUrl": "https://mk0spaceflightnoa02a.kinstacdn.com/wp-content/uploads/2018/10/ccp-countdown-header-326x245.jpg", "newsSite": "Spaceflight Now", "summary": "", "publishedAt": "2018-10-05T22:00:00.000Z", "updatedAt": "2021-05-18T13:43:19.589Z", "featured": False, "launches": [], "events": [] } ) request = client.get("/articles/?page_size=1") id = request.json()[0]["id"] assert response.status_code == 201 assert response.json() == { "id": id, "title": "No commercial crew test flights expected this year", "url": "https://spaceflightnow.com/2018/10/06/no-commercial-crew-test-flights-expected-this-year/", "imageUrl": "https://mk0spaceflightnoa02a.kinstacdn.com/wp-content/uploads/2018/10/ccp-countdown-header-326x245.jpg", "newsSite": "Spaceflight Now", "summary": "", "publishedAt": "2018-10-05T22:00:00.000Z", "updatedAt": "2021-05-18T13:43:19.589Z", "featured": False, "launches": [], "events": [] } def test_update_item(): request = client.get("/articles/?page_size=1") id = request.json()[0]["id"] response = client.put(f"/articles/{id}", json={ "title": "Altered Title", "url": "www.domain.com", "imageUrl": "IMAGE.img", "newsSite": "", "summary": "", "publishedAt": "2018-10-05T22:00:00.000Z", "updatedAt": "2021-05-18T13:43:19.589Z", "featured": True, "launches": [ { "id": "Altered", "provider": "Altered Launch" } ], "events": [ { "id": 1037, "provider": "Altered Provider" } ] } ) assert response.status_code == 200 assert response.json() == { "id": id, "title": "Altered Title", "url": "www.domain.com", "imageUrl": "IMAGE.img", "newsSite": "", "summary": "", "publishedAt": "2018-10-05T22:00:00.000Z", "updatedAt": "2021-05-18T13:43:19.589Z", "featured": True, "launches": [ { "id": "Altered", "provider": "Altered Launch" } ], "events": [ { "id": 1037, "provider": "Altered Provider" } ] } def test_update_invalid_id(): id = 9999999999 response = client.put(f"/articles/{id}", json={ "title": "Altered Title" } ) assert response.status_code == 404 assert response.json() == {"detail": f"Article ID: {id} not found"} def test_update_non_integer_id(): response = client.put("/articles/abc") assert response.status_code == 422 assert response.json()[ "detail"][0]["msg"] == "value is not a valid integer" def test_delete_item(): request = client.get("/articles/?page_size=1") id = request.json()[0]["id"] response = client.delete(f"/articles/{id}") assert response.status_code == 200 assert response.json() == f"Article ID: {id} was deleted." def test_delete_invalid_id(): id = 9999999999 response = client.delete(f"/articles/{id}") assert response.status_code == 404 assert response.json() == {"detail": f"Article ID: {id} not found"} def test_delete_non_integer_id(): response = client.delete("/articles/abc") assert response.status_code == 422 assert response.json()[ "detail"][0]["msg"] == "value is not a valid integer"

40.608696

277

0.487611

634

6,538

4.958991

0.258675

0.089059

0.063613

0.076336

0.748728

0.716285

0.68416

0.677481

0.647583

0

0.081903

0.376262

6,538

160

278

40.8625

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0

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0

0.05036

0.359437

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0

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false

0

0.021583

0

0.093525

0

null

0

1

0

1

0

null

0

2

a6a650997a0e40d341164565e71707c592c13050

1,372

py

Python

src/producto18.py

alonsosilvaallende/Datos-COVID19

a52b586ce0c9eb41a3f7443a164402124ffef504

[ "MIT" ]

null

src/producto18.py

alonsosilvaallende/Datos-COVID19

a52b586ce0c9eb41a3f7443a164402124ffef504

[ "MIT" ]

null

src/producto18.py

alonsosilvaallende/Datos-COVID19

a52b586ce0c9eb41a3f7443a164402124ffef504

[ "MIT" ]

null

''' MIT License Copyright (c) 2020 Sebastian Cornejo 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. ''' import csv import pandas as pd from os import listdir if __name__ == '__main__': # producto 18: tasa de incidencia total e histórica df = pd.read_csv('../input/Tasadeincidencia.csv') df.dropna(how='all', inplace=True) df.to_csv('../output/producto18/TasadeIncidencia.csv')

41.575758

78

0.78207

211

1,372

5.037915

0.587678

0.082785

0.024459

0

0.00695

0.161079

1,372

33

79

41.575758

0.916594

0.819242

0

0.3361

0.290456

0

1

0

false

0

0.428571

0

0.428571

0

null

0

1

0

null

0

1

0

2

a6a93fa998370452499035e80f03dcb57488747c

516

py

Python

listwords.py

corbinmcneill/bonkbot

5d355d9b8d2377176fc8ec317a7cba03ff3bb37a

[ "MIT" ]

1

2020-12-07T06:58:38.000Z

listwords.py

corbinmcneill/bonkbot

5d355d9b8d2377176fc8ec317a7cba03ff3bb37a

[ "MIT" ]

1

2021-01-06T06:36:11.000Z

2021-01-06T09:06:15.000Z

listwords.py

corbinmcneill/bonkbot

5d355d9b8d2377176fc8ec317a7cba03ff3bb37a

[ "MIT" ]

2

2021-01-06T06:34:42.000Z

2021-01-28T08:41:40.000Z

#!/usr/bin/env python3 import discord import config import util from functools import reduce from handler import Handler class ListWordsHandler(Handler): name = "listwords" async def message_handler(self, message, jail, bonkbot): print("Starting listwords handler") if self.cf.get("list_words_trigger_phrase") in message.content.lower() and util.is_mentioned(message, bonkbot): await message.channel.send(util.list_trigger_words()) return True return False

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1

0

2

a6ca5dc72a2a53aa7dccb88c27d8a3fa44186150

1,175

py

Python

tests/conftest.py

dclimber/python-kzt-exchangerates

60eca52b776f889848d631be43c843bd9bd50d06

[ "MIT" ]

1

2021-05-15T15:19:00.000Z

tests/conftest.py

dclimber/python-kzt-exchangerates

60eca52b776f889848d631be43c843bd9bd50d06

[ "MIT" ]

null

tests/conftest.py

dclimber/python-kzt-exchangerates

60eca52b776f889848d631be43c843bd9bd50d06

[ "MIT" ]

null

import pytest from pathlib import Path import xml.etree.ElementTree as ET @pytest.fixture def date_for_tests(): return '24.04.2013' @pytest.fixture def result_date(): return '2013-04-24' @pytest.fixture def latest_url(): return 'https://nationalbank.kz/rss/rates_all.xml' @pytest.fixture def dated_url(date_for_tests): return 'https://nationalbank.kz/rss/get_rates.cfm?fdate={}'.format( date_for_tests) @pytest.fixture def sample_rss(): # rss file for 2013-04-24 (date for tests) file = Path("sample_rss.xml") text = file.read_text() rss = ET.fromstring(text) return rss @pytest.fixture def supported_currencies(): # currencies from sample_rss.xml return ['AUD', 'GBP', 'BYR', 'BRL', 'HUF', 'HKD', 'DKK', 'AED', 'USD', 'EUR', 'CAD', 'CNY', 'KWD', 'KGS', 'LVL', 'LTL', 'MYR', 'MDL', 'NOK', 'PLN', 'SAR', 'RUB', 'XDR', 'SGD', 'TJS', 'TRY', 'UZS', 'UAH', 'CZK', 'SEK', 'CHF', 'ZAR', 'KRW', 'JPY', 'KZT'] @pytest.fixture def target_currencies(): return ['AUD', 'GBP', 'DKK', 'AED', 'USD', 'EUR', 'CAD', 'CNY', 'KWD']

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1

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2

a6df1b58a3503a041b065c001a210524d030e7a9

493

py

Python

src/apps/account/test_utils.py

plitzenberger/graphene-auth-examples

93694f10977feb35f73ffe1f84dea631fd6d17dc

[ "MIT" ]

71

2017-06-09T13:02:15.000Z

2021-06-15T20:00:38.000Z

src/apps/account/test_utils.py

plitzenberger/graphene-auth-examples

93694f10977feb35f73ffe1f84dea631fd6d17dc

[ "MIT" ]

13

2017-07-11T16:08:40.000Z

2019-07-01T04:33:17.000Z

src/apps/account/test_utils.py

plitzenberger/graphene-auth-examples

93694f10977feb35f73ffe1f84dea631fd6d17dc

[ "MIT" ]

14

2017-05-18T16:27:30.000Z

2019-09-20T12:57:17.000Z

import pytest from django.core import mail from test_fixtures.users import user from .utils import send_activation_email, send_password_reset_email @pytest.mark.django_db def test_send_activtion_email(user, rf): request = rf.request() send_activation_email(user, request) assert len(mail.outbox) == 1 @pytest.mark.django_db def test_send_password_reset_email(user, rf): request = rf.request() send_password_reset_email(user, request) assert len(mail.outbox) == 1

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null

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null

0

1

0

2

472afc21ea7eeaee85fc2d73a6095f40e07d89e4

22,482

py

Python

oompa/tracking/github/GitHubNeo.py

sjtsp2008/oompa

2dfdecba192c408c0463da27e0b5859ef9ce3db6

[ "Apache-2.0" ]

2

2016-02-23T00:58:11.000Z

2017-06-14T15:39:22.000Z

oompa/tracking/github/GitHubNeo.py

sjtsp2008/oompa

2dfdecba192c408c0463da27e0b5859ef9ce3db6

[ "Apache-2.0" ]

3

2015-06-21T11:13:50.000Z

2015-06-21T13:27:03.000Z

oompa/tracking/github/GitHubNeo.py

sjtsp2008/oompa

2dfdecba192c408c0463da27e0b5859ef9ce3db6

[ "Apache-2.0" ]

null

# # GitHubNeo.py # # note: i tried using bulbs, which would be easier to # migrate to other tinkerpop graph engines, but had # trouble authenticating # # """ package oompa.tracking.github experiments with working on github graphs in neo uses py2neo TODO: i think bulb seems to have better object modeling (but doesn't work for me) """ from datetime import timedelta from datetime import datetime import py2neo from oompa.tracking.github import github_utils Node = py2neo.Node Relationship = py2neo.Relationship """ misc neo notes: visit: http://localhost:7474/ default user - neo4j part of neo walkthrough CREATE (ee:Person { name: "Emil", from: "Sweden", klout: 99 }) () means "node" {} surround attrs Person is the label MATCH (ee:Person) WHERE ee.name = "Emil" RETURN ee; complex creation: MATCH (ee:Person) WHERE ee.name = "Emil" CREATE (js:Person { name: "Johan", from: "Sweden", learn: "surfing" }), (ir:Person { name: "Ian", from: "England", title: "author" }), (rvb:Person { name: "Rik", from: "Belgium", pet: "Orval" }), (ally:Person { name: "Allison", from: "California", hobby: "surfing" }), (ee)-[:KNOWS {since: 2001}]->(js),(ee)-[:KNOWS {rating: 5}]->(ir), (js)-[:KNOWS]->(ir),(js)-[:KNOWS]->(rvb), (ir)-[:KNOWS]->(js),(ir)-[:KNOWS]->(ally), (rvb)-[:KNOWS]->(ally) pattern matching: MATCH (ee:Person)-[:KNOWS]-(friends) WHERE ee.name = "Emil" RETURN ee, friends Pattern matching can be used to make recommendations. Johan is learning to surf, so he may want to find a new friend who already does: MATCH (js:Person)-[:KNOWS]-()-[:KNOWS]-(surfer) WHERE js.name = "Johan" AND surfer.hobby = "surfing" RETURN DISTINCT surfer () empty parenthesis to ignore these nodes DISTINCT because more than one path will match the pattern surfer will contain Allison, a friend of a friend who surfs """ def parseFreshness(freshness): """ TODO: not fully general/bulletproof yet """ pieces = freshness.split() days = 0 hours = 0 minutes = 0 for piece in pieces: unit = piece[-1] value = int(piece[:-1]) if unit == "d": days = value elif unit == "h": hours = value elif unit == "m": minutes = value else: raise Exception("unknown time unit", unit, freshness) pass freshness_delta = timedelta(days = days, hours = hours, minutes = minutes) return freshness_delta class GitHubNeo: """ interface for lazy github graph in neo4j - update - list - track - discover """ # ISO format _dtFormat = "%Y-%m-%dT%H:%M:%S" def __init__(self, config, githubHelper): # XXX get from config neo_url = config.get("neo.github.url") neo_user = config.get("neo.github.user") neo_passwd = config.get("neo.github.passwd") # TODO: derive from the url neo_host = "localhost:7474" # TODO: if freshness, parse it to a real latency (e.g., "4d" -> seconds) self.freshness = config.get("neo.github.freshness") if self.freshness: self.freshness = parseFreshness(self.freshness) pass py2neo.authenticate(neo_host, neo_user, neo_passwd) self.graph = py2neo.Graph(neo_url) self.githubHelper = githubHelper self._establishNeoSchema() return def _establishNeoSchema(self): """ set up constraints on relationships and nodes in neo graph note: i believe that schema constraints are volatile, per-session if i don't apply these contraints, on a graph that had them in previous sessions, i can violate the previous contraints """ schema = self.graph.schema try: schema.create_uniqueness_constraint("User", "name") schema.create_uniqueness_constraint("Organization", "name") schema.create_uniqueness_constraint("Repository", "name") # except py2neo.error.ConstraintViolationException: except: # already established return # TODO: User # TODO: Organization # TODO: relationships return def query(self, query): """ submit arbitrary cypher-syntax query to graph query is a string """ for record in self.graph.cypher.execute(query): yield record return def getNodeType(self, node): """ return the type of the given node """ # XXX still figuring out LabelSet - don't know how to get values as list return node.labels.copy().pop() def getNode(self, nodeName, nodeType = None): """ returns a neo Node TODO: if nodeType specified, use it (esp User vs Organization) """ # print("NT: %s" % nodeType) typeSpec = "" # XXX figure out best way to support this # if nodeType is not None: # typeSpec = ":%s" % nodeType # pass # XXX this does not feel like "The Best Way" to simply get a node query = 'MATCH (node {name:"%s"}%s) RETURN node' % ( nodeName, typeSpec ) # print(" Q: %r" % query) records = list(self.query(query)) if not records: return None if len(records) > 1: print("XXX getNode() plural records: %s %s (%r)" % ( nodeType, nodeType, typeSpec )) for record in records: print(" R: %r" % ( record, )) pass xxx pass record = records[0] return self.graph.hydrate(record[0]) def _now(self): return datetime.utcnow().replace(microsecond = 0) def _parseISODTStr(self, dtStr): return datetime.strptime(dtStr, self._dtFormat) def createNode(self, name, nodeType): # we don't want the microsecond junk in time string now = self._now() node = Node(nodeType, name = name, createdDT = now.isoformat()) self.graph.create(node) return node def getOrAddNode(self, name, nodeType = None): node = self.getNode(name, nodeType) if node is not None: # print("# node already in graph") return node # print("# node not in graph - have to create") if nodeType is None: for nodeType, name, obj in self.githubHelper.getKindNameAndObject([ name, ]): # only one break if nodeType is None: print(" could not determine nodeType for name: %s" % name) xxx pass pass return self.createNode(name, nodeType) # # neo edge relationships for lists "away from" certain types of github objects # # some list names have an alias, because the list name is confusing # # TODO: test if simple rule of removing the final "s" works. that would be simpler # - there are a couple of exceptions # _relationships = { "Repository" : [ ( "stargazers", "starred", "from", ), ( "subscribers", "subscriber", "from", ), ( "contributors", "contributor", "from", ), ( "forks", "forkOf", "from", ), # ... ], "User" : [ ( "followers", "follows", "from", ), ( "following", "follows", "to", ), ( "starred_repositories", "starred", "to", ), ( "subscriptions", "subscriber", "to", ), ( "organizations", "memberOf", "to", ), ], } def updateRelationships(self, obj, slot, relationshipLabel, direction, destNode): """ obj is a github3 object (repository, user, organization) direction is "from" or "to" TODO: support attribute decorators generates stream of entitySpec """ destNodeType = self.getNodeType(destNode) graph = self.graph print("updateRelationships: %-25s - %-25s %4s - %s" % ( slot, relationshipLabel, direction, destNode.properties["name"] )) # XXX need otherNodeLabelGetter # - .name, .login, ... # determine neighbor nodeType by slot name # TODO: use a dictionary - simpler neighborNodeType = None # XXX just figure this out by what we get back if slot in [ "stargazers", "contributors", ]: neighborNodeType = "User" elif slot in [ "followers", "following" ]: neighborNodeType = "User" elif slot == "organizations": neighborNodeType = "Organization" elif slot == "starred_repositories": neighborNodeType = "Repository" elif slot == "subscriptions": neighborNodeType = "Repository" elif slot == "forks": neighborNodeType = "Repository" elif slot == "subscribers": # i think that things can subsribe to users or orgs, too # this is currently just Users subscribed to Repository neighborNodeType = "User" else: print(" XXX slot not handled in switch yet - %r" % slot) xxx pass if neighborNodeType == "User": nodeNameAttr = "login" elif neighborNodeType == "Organization": nodeNameAttr = "name" elif neighborNodeType == "Repository": nodeNameAttr = "full_name" else: xxx pass # print("# nodeNameAttr: %s - %s - %s" % ( slot, neighborNodeType, nodeNameAttr )) # TODO: get all of them, and batch-update neighbors = [] for value in getattr(obj, slot)(): # if slot == "forks": # print(" fork obj") # github_utils.dumpSlotValues(obj) # value is another github object (User, ...) # name = value.name # name = str(value) nodeName = getattr(value, nodeNameAttr) neighbors.append(( neighborNodeType, nodeName )) pass # TODO: batch-update neighbors = sorted(neighbors, key = lambda _tuple : _tuple[1]) for neighborNodeType, nodeName in neighbors: # only if verbose tracing # print(" %s: %r" % ( relationshipLabel, nodeName )) srcNode = Node(neighborNodeType, name = nodeName) # graph.merge_one(Relationship(srcNode, relationshipLabel, destNode)) # XXX try/except is sloppy - i don't get merge vs create yet if direction == "from": relationship = Relationship(srcNode, relationshipLabel, destNode) else: relationship = Relationship(destNode, relationshipLabel, srcNode) pass try: graph.create(relationship) except: # already exists pass yield ( neighborNodeType, nodeName ) pass # need to flush anything? return def _getRelationshipTuples(self, nodeType, relationships = None): """ TODO: memoize """ # print("_getRelationshipTuples(): %s %s" % ( nodeType, relationships )) # # XXX still working out the best way to normalize github # relationships to neo relationships # for relationshipTuple in self._relationships[nodeType]: listName, relationshipLabel, direction = relationshipTuple if relationships: keep = False for rel in relationships: if rel == relationshipLabel: keep = True break pass if not keep: continue pass yield relationshipTuple pass return def updateGithubObj(self, githubObj, node, relationships = None): """ githubObj is a GitHub3 Repository, User, or Organization node is a py2neo Node """ # starting to generalize graph = self.graph nodeType = self.getNodeType(node) # note that full_name is something that i attach if nodeType == "Repository": name = githubObj.full_name else: name = githubObj.name pass # TODO: want to report different things for different object - # user needs login and name print("GitHubNeo.updateGithubObj(): %s" % name.encode("utf8")) relationshipTuples = list(self._getRelationshipTuples(nodeType, relationships)) # TODO: *local* LRU cache user and repo - may also be on contributes, subscribes. # make sure we only pay github points once for listName, relationshipLabel, direction in relationshipTuples: for entitySpec in self.updateRelationships(githubObj, listName, relationshipLabel, direction, node): yield entitySpec pass pass node.properties["updatedDT"] = datetime.utcnow().replace(microsecond = 0) node.push() # what else should go in graph? # .parent # .source # .description # .homepage # .language # .last_modified # .updated_at # branches() # code_frequency() # XXX blocked - requires authentication # dumpList(obj, "collaborators") # comments() # commit_activity() # commits() # contributor_statistics() # github_utils.dumpList(obj, "contributors") # default_branch # deployments() ??? # events() # github_utils.dumpList(obj, "forks") # hooks() ??? # issues() # keys() ??? # labels() ??? i think these are tags used in issues/planning # github_utils.dumpList(obj, "languages") # milestones() # notifications() # open_issues_count ??? # owner (a User object) # pull_requests # refs() ??? # releases() ??? # size (what are units?) # statuses() ? # github_utils.dumpList(obj, "subscribers") # tags() # i think that tree is some sort of file tree. (i was hoping it was fork ancestry) # tree = obj.tree() # print("TREE: %s" % tree) # teams() # { "Last-Modified": "", # "all": [0, 0, 1, 1, ..., (52 weeks?) ], # "owner": [ 0, 0, 0, 0, ... ] } # print(" weekly_commit_count: %s" % obj.weekly_commit_count()) return def updateUser(self, githubObj, node): """ user is a GitHub3 User TODO: refactor - merge with updateRepository - just a generic """ graph = self.graph nodeType = self.getNodeType(node) # was it forked from something? print("GitHubNeo.updateUser(): %s - %r" % ( user.login, user.name )) nodeType = "User" node = Node(nodeType, name = user.login) # use merge_one to create if it does not already exist # XXX merge_one does not persist the node? # graph.merge_one(node) graph.create(node) for listNameTuple in self._relationships[nodeType]: if isinstance(listNameTuple, tuple): listNameTuple, relationshipLabel = listNameTuple else: listName = listNameTuple relationshipLabel = listName pass for entitySpec in self.updateRelationships(user, listName, relationshipLabel, node): yield entitySpec pass pass return def updateOrganization(self, name, org): """ org is a GitHub3 Organization """ graph = self.graph # was it forked from something? print("GitHubNeo.updateOrg(): %s" % user) xxx print(" bio: %s" % obj.bio) print(" company: %s" % obj.company) print(" location: %s" % obj.location) dumpList(obj, "public_members") dumpList(obj, "repositories") return def _nodeFreshEnough(self, node): updatedDTStr = node.properties.get("updatedDT") if updatedDTStr: age = self._now() - self._parseISODTStr(updatedDTStr) if age <= self.freshness: return True pass return False def _getCachedNeighbors(self, node, relationships = None): nodeType = self.getNodeType(node) # print(" _getCachedNeighbors(): %-12s %s" % ( nodeType, node.properties["name"] )) if relationships is None: # # list of ( githubSlot, neoRelationLabel ) # relationships = self._relationships[nodeType] neoRelationships = [] for relationshipInfo in relationships: if isinstance(relationshipInfo, tuple): neoRelationship = relationshipInfo[1] else: neoRelationship = relationshipInfo pass neoRelationships.append(neoRelationship) pass pass else: # # map relationships in to neo relationships # neoRelationships = relationships pass i = 1 for neoRelationship in neoRelationships: # print(" neoRelationship: %s" % neoRelationship) neighbors = [] for rel in node.match(neoRelationship): if node == rel.start_node: neighborNode = rel.end_node else: neighborNode = rel.start_node pass # XXX expensive. we can already know this, from the neoRelationship neighborNodeType = self.getNodeType(neighborNode) # yield neighborNodeType, neighborNode.properties["name"] neighbors.append(( neighborNodeType, neighborNode.properties["name"], 1 )) i += 1 pass if neighbors: print(" %5d %s" % ( len(neighbors), neoRelationship )) pass # XXX optional. user may want to sort by something else # (added date - but that's not supported yet) neighbors = sorted(neighbors, key = lambda _tuple : _tuple[1]) for neighborTuple in neighbors: yield neighborTuple pass pass return def update(self, entitySpecs, numHops = None, relationships = None): """update the edges/relationships around the specified node names creates the nodes if they don't already exist entitySpecs is list of github names - Repository, User, Organization. can by type-hinted - org:..., user:..., repo:..., or else we guess, using the helper if staleness constraints specified, will use what's in cache if new enough (to save github points) TODO: maybe able to specify only certain relationship types to update """ if numHops is None: numHops = 1 pass hop = 1 # list of entities left to check, and their hop # # a seed is at hop 1 (versus 0) boundary = [] for entitySpec in entitySpecs: boundary.append(( entitySpec, hop )) pass helper = self.githubHelper freshness = self.freshness while boundary: entitySpec, _hop = boundary[0] boundary = boundary[1:] print("GitHubNeo.update: %s %5d %5d %s" % ( _hop, len(boundary), helper.checkRatePointsLeft(), entitySpec, )) nodeType = None extra = None if isinstance(entitySpec, tuple): nodeType = entitySpec[0] name = entitySpec[1] if len(entitySpec) > 2: extra = entitySpec[2] pass pass else: name = entitySpec pass node = self.getOrAddNode(name, nodeType) nodeType = self.getNodeType(node) if freshness is not None and self._nodeFreshEnough(node): # print(" using cached relationships: %s - %s" % ( nodeType, name )) neighbors = self._getCachedNeighbors(node, relationships = relationships) else: githubObj = helper.getGithubObject(name, nodeType) neighbors = self.updateGithubObj(githubObj, node, relationships = relationships) pass # need to drain the stream, even if we don't add them to boundary neighbors = list(neighbors) if _hop < numHops: for _entitySpec in neighbors: boundary.append(( _entitySpec, _hop + 1 )) # print(" added to boundary: %s %s" % ( _hop + 1, _entitySpec )) pass pass # print("") pass return pass

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null

0

null

0

1

0

1

0

2

472bc55d336ce348951bd8eeba92c1a80bba3988

526

py

Python

webServ/app.py

harryparkdotio/dabdabrevolution

ffb8a28379edd5e44d23d39ee5e5cc38ddf5181a

[ "MIT" ]

9

2017-01-10T03:40:18.000Z

2019-03-20T11:27:22.000Z

webServ/app.py

harryparkdotio/dabdabrevolution

ffb8a28379edd5e44d23d39ee5e5cc38ddf5181a

[ "MIT" ]

null

webServ/app.py

harryparkdotio/dabdabrevolution

ffb8a28379edd5e44d23d39ee5e5cc38ddf5181a

[ "MIT" ]

3

2018-02-28T04:10:55.000Z

2018-12-21T14:19:12.000Z

from flask import Flask, Response, send_from_directory import random, time app = Flask(__name__, static_folder='www') @app.route('/') def index(): return '' @app.route('/stream') def stream(): def event(): while True: yield "data: " + random.choice(['a', 'b', 'c', 'd']) + "nn" with app.app_context(): time.sleep(1) return Response(event(), mimetype="text/event-stream") @app.route('/static/<path:path>') def static_f(path): return app.send_static_file(path) if __name__ == '__main__': app.run(debug=True)

22.869565

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null

0

null

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0

1

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2

472ccb20b84f3fb1960515f43b725476c316bd05

212

py

Python

SRC/Chapter_03-When-Object-Are-Alike/supplier.py

eminemence/python3_OOPs

a61f2649cf9c68a782a3e90c1f667877597dfb1d

[ "MIT" ]

null

SRC/Chapter_03-When-Object-Are-Alike/supplier.py

eminemence/python3_OOPs

a61f2649cf9c68a782a3e90c1f667877597dfb1d

[ "MIT" ]

null

SRC/Chapter_03-When-Object-Are-Alike/supplier.py

eminemence/python3_OOPs

a61f2649cf9c68a782a3e90c1f667877597dfb1d

[ "MIT" ]

1

2021-01-13T08:25:04.000Z

import contact class Supplier(contact.Contact): def order(self, order): print( "If this were a real system we would send" "{} order to {}".format(order, self.name) )

21.2

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null

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1

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null

0

2

5b2ea698bf453d5761c99858fd3248bda11d4d8d

160

py

Python

main.py

NChechulin/telegram-renderer-bot

3b66a550022bce1604a073a2c922d6c9597f508f

[ "MIT" ]

1

2020-09-20T04:36:11.000Z

main.py

NChechulin/telegram-renderer-bot

3b66a550022bce1604a073a2c922d6c9597f508f

[ "MIT" ]

2

2020-04-04T21:02:49.000Z

2020-04-06T11:16:17.000Z

main.py

NChechulin/telegram-renderer-bot

3b66a550022bce1604a073a2c922d6c9597f508f

[ "MIT" ]

null

"""Main file which starts the bot and sets all of the parameters""" from bot import Bot if __name__ == '__main__': bot = Bot('token.txt') bot.start()

20

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160

3.92

0.72

0

0.2125

160

7

68

22.857143

0.777778

0.38125

0

0.182796

0

1

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0.25

0

1

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null

0

1

0

null

0

2

5b3953f91cb7e3a0cd0d67201766483abefb5893

229

py

Python

Week 3/Python Track/Permituation.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

Week 3/Python Track/Permituation.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

Week 3/Python Track/Permituation.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

# Enter your code here. Read input from STDIN. Print output to STDOUT from itertools import permutations s1 = input().split() S2 = sorted(tuple(s1[0])) out = tuple(permutations(S2,int(s1[1]))) for i in out: print("".join(i))

28.625

69

0.69869

38

229

4.210526

0.736842

0

0.036082

0.152838

229

7

70

32.714286

0.78866

0.292576

0

0.142857

0

1

0

false

0

0.166667

0

0.166667

0

null

0

1

0

null

0

1

0

2

5b458116a42dd7d10c7864067436041dfcef5bf1

1,226

py

Python

Software 1/Practical/Week 09/Practical 14/vector.py

KristoffLiu/YorkCSSolution

cae76529b1e5956a59ac4bd51797a30a5a23fb8d

[ "Apache-2.0" ]

3

2019-11-14T22:04:32.000Z

2019-11-17T16:07:58.000Z

Software 1/Practical/Week 09/Practical 14/vector.py

KristoffLiu/YorkCSSolution

cae76529b1e5956a59ac4bd51797a30a5a23fb8d

[ "Apache-2.0" ]

null

Software 1/Practical/Week 09/Practical 14/vector.py

KristoffLiu/YorkCSSolution

cae76529b1e5956a59ac4bd51797a30a5a23fb8d

[ "Apache-2.0" ]

1

2019-11-15T07:52:14.000Z

class Vector: #exercise 01 def __init__(self,inputlist): self._vector = [] _vector = inputlist #exercise 02 def __str__(self): return "<" + str(self._vector).strip("[]") + ">" #exercise 03 def dim(self): return len(self._vector) #exercise 04 def get(self,index): return self._vector[index] def set(self,index,value): self._vector[index] = value def scalar_product(self, scalar): return [scalar * x for x in self._vector] #exercise 05 def add(self, other_vector): if not isinstance(other_vector) == True and type(other_vector) == Vector: raise TypeError elif not self.dim() == other_vector.dim(): raise ValueError else: return self.scalar_product(other_vector) #exercise 06 def equals(self,other_vector): if not self.dim() == other_vector.dim(): return False elif self == other_vector: return True else: for i in range(self.dim()): if self._vector[i] != other_vector._vector[i]: return False else: return True

25.541667

81

0.551387

141

1,226

4.595745

0.312057

0.152778

0.069444

0.052469

0.131173

0.074074

0

0.014963

0.34584

1,226

47

82

26.085106

0.793017

0.053834

0

0.21875

0

0.003466

0

1

0.25

false

0

0.125

0.5625

0

null

0

null

0

1

0

1

0

2

5b45b7ebc3202d65284b774cf188919577862056

370

py

Python

Stomp/Utils/util.py

phan91/STOMP_agilis

c47394e7b58809fdd3eba539b6fa610eb8b476ce

[ "MIT" ]

null

Stomp/Utils/util.py

phan91/STOMP_agilis

c47394e7b58809fdd3eba539b6fa610eb8b476ce

[ "MIT" ]

null

Stomp/Utils/util.py

phan91/STOMP_agilis

c47394e7b58809fdd3eba539b6fa610eb8b476ce

[ "MIT" ]

null

import re def replace_all(repls, str): """ Applies replacements as described in the repls dictionary on input str. :param repls: Dictionary of replacements :param str: The string to be changed :return: The changed string """ return re.sub('|'.join(re.escape(key) for key in repls.keys()), lambda k: repls[k.group(0)], str)

30.833333

75

0.645946

53

370

4.490566

0.622642

0.12605

0

0.003584

0.245946

370

12

76

30.833333

0.849462

0.478378

0

0.006024

0

1

0.25

false

0

0.25

0

0.75

0

null

0

null

0

1

0

1

0

2

5b4d5fdd9c41e3cd542218051f15a30c5892c606

161

py

Python

Configs/UNet_Configs.py

zeeshanalipnhwr/Semantic-Segmentation-Keras

304af52c60a16e32da9f1e3f57c653f578cc8bf5

[ "MIT" ]

3

2020-04-13T07:56:03.000Z

2020-10-13T12:56:00.000Z

Configs/UNet_Configs.py

zeeshanalipnhwr/Semantic-Segmentation-Keras

304af52c60a16e32da9f1e3f57c653f578cc8bf5

[ "MIT" ]

null

Configs/UNet_Configs.py

zeeshanalipnhwr/Semantic-Segmentation-Keras

304af52c60a16e32da9f1e3f57c653f578cc8bf5

[ "MIT" ]

2

2020-04-06T02:09:04.000Z

2020-04-06T09:43:36.000Z

DEPTH = 16 # the number of filters of the first conv layer of the encoder of the UNet # Training hyperparameters BATCHSIZE = 16 EPOCHS = 100 OPTIMIZER = "adam"

23

85

0.751553

25

161

4.84

0.72

0.123967

0

0.054264

0.198758

161

6

86

26.833333

0.883721

0.602484

0

0.065574

0

1

0

false

0

1

0

null

0

1

0

null

0

2

5b6ad3dccf84bb8ff4fe870c3a1a16f0ee7630a4

263

py

Python

Python_codes/palindrome_string/palindrome.py

latedeveloper08/hacktober2021

3b2b4781668221b32dd96e2335157572b00dcf56

[ "MIT" ]

null

Python_codes/palindrome_string/palindrome.py

latedeveloper08/hacktober2021

3b2b4781668221b32dd96e2335157572b00dcf56

[ "MIT" ]

null

Python_codes/palindrome_string/palindrome.py

latedeveloper08/hacktober2021

3b2b4781668221b32dd96e2335157572b00dcf56

[ "MIT" ]

null

string=input("Enter a string:") length=len(string) mid=length//2 rev=-1 for a in range(mid): if string[a]==string[rev]: a+=1 rev=-1 else: print(string,"is a palindrome") break else: print(string,"is not a palindrome")

17.533333

39

0.585551

41

263

3.756098

0.487805

0.090909

0.194805

0.220779

0

0.020619

0.262357

263

14

40

18.785714

0.773196

0

0.307692

0

0.187023

0

1

0

false

0

0.153846

0

null

0

1

0

null

0

2

5b7391d6b2a463ec5ffec394ba3d99bf008d1599

1,182

py

Python

src/authentication/migrations/0003_user_additional_fiels_nullable.py

Alirezaja1384/MajazAmooz

9200e46bed33aeb60d578a5c4c02013a8032cf08

[ "MIT" ]

3

2021-04-01T19:42:53.000Z

2022-03-01T09:50:17.000Z

src/authentication/migrations/0003_user_additional_fiels_nullable.py

Alirezaja1384/MajazAmooz

9200e46bed33aeb60d578a5c4c02013a8032cf08

[ "MIT" ]

null

src/authentication/migrations/0003_user_additional_fiels_nullable.py

Alirezaja1384/MajazAmooz

9200e46bed33aeb60d578a5c4c02013a8032cf08

[ "MIT" ]

null

# Generated by Django 3.1.7 on 2021-03-27 10:53 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("authentication", "0002_auto_20210326_1814"), ] operations = [ migrations.AlterField( model_name="user", name="avatar", field=models.ImageField( blank=True, upload_to="images/avatars", verbose_name="تصویر پروفایل", ), ), migrations.AlterField( model_name="user", name="coins", field=models.PositiveIntegerField( blank=True, null=True, verbose_name="سکه ها" ), ), migrations.AlterField( model_name="user", name="diamonds", field=models.PositiveIntegerField( blank=True, null=True, verbose_name="الماس ها" ), ), migrations.AlterField( model_name="user", name="scores", field=models.PositiveIntegerField( blank=True, null=True, verbose_name="امتیاز" ), ), ]

26.863636

62

0.51692

102

1,182

5.872549

0.5

0.133556

0.166945

0.193656

0.549249

0.42571

0.295492

0

0.042062

0.376481

1,182

43

63

27.488372

0.770692

0.038071

0

0.513514

1

0

0.110132

0.020264

0

1

0

false

0

0.027027

0

0.108108

0

null

0

1

0

1

0

null

0

2

5b75d17a228cb623b421648bad8d7be7041786ab

841

py

Python

Chapter 3/Q19_Match_output.py

inshaal/CBSE_NCERT_SOLUTIONS

0804c2b42e80ccf42ad7dc4d91998848529e216d

[ "Unlicense" ]

null

Chapter 3/Q19_Match_output.py

inshaal/CBSE_NCERT_SOLUTIONS

0804c2b42e80ccf42ad7dc4d91998848529e216d

[ "Unlicense" ]

null

Chapter 3/Q19_Match_output.py

inshaal/CBSE_NCERT_SOLUTIONS

0804c2b42e80ccf42ad7dc4d91998848529e216d

[ "Unlicense" ]

null

''' Q19 Predict the output''' class Match: ''"Runs and Wickets"'' runs=281 wickets=5 def __init__(self,runs,wickets): self.runs=runs self.wickets=wickets print "Runs scored are : ",runs print "Wickets taken are : ",wickets print "Test.__do__ :",Match.__doc__ print "Test.__name__ : ",Match.__name__ print "Test.__module__ : ",Match.__module__ print "Test.__bases__ : ",Match.__bases__ print "Test.__dict__ : ",Match.__dict__ ''' SOLUTIONS : This is the output - Runs scored are : 281 Wickets taken are : 5 Test.__do__ : Runs and Wickets Test.__name__ : Match Test.__module__ : __main__ Test.__bases__ : () Test.__dict__ : {'__module__': '__main__', 'runs': 281, '__doc__': 'Runs and Wickets', '__init__': <function __init__ at 0x0398BA70>, 'wickets': 5} '''

26.28125

149

0.653983

102

841

4.529412

0.313725

0.097403

0.090909

0

0.03177

0.214031

841

31

150

27.129032

0.667171

0

0.303167

0

null

0

null

0.5

0

null

0

null

0

1

0

1

0

2

5b858246ad28edd0c4482b11bf509db078683da1

12,676

py

Python

TAR/dataset.py

jiyanggao/CTAP

4c8ed32c72763f1b47e607b6e957695f9381930e

[ "MIT" ]

49

2018-07-11T06:33:39.000Z

2022-02-24T04:43:32.000Z

TAR/dataset.py

jiyanggao/CTAP

4c8ed32c72763f1b47e607b6e957695f9381930e

[ "MIT" ]

10

2018-07-31T07:01:53.000Z

2021-01-23T11:16:49.000Z

TAR/dataset.py

jiyanggao/CTAP

4c8ed32c72763f1b47e607b6e957695f9381930e

[ "MIT" ]

12

2018-07-21T10:30:04.000Z

2021-07-12T00:32:34.000Z

import numpy as np from math import sqrt import os import random import pickle def calculate_IoU(i0,i1): union=(min(i0[0],i1[0]) , max(i0[1],i1[1])) inter=(max(i0[0],i1[0]) , min(i0[1],i1[1])) iou=1.0*(inter[1]-inter[0])/(union[1]-union[0]) return iou ''' A class that handles the training set ''' class TrainingDataSet(object): def __init__(self,flow_feat_dir,appr_feat_dir,clip_gt_path,background_path,batch_size,movie_length_info,ctx_num,central_num, unit_feature_size,unit_size, pos_neg_ratio=10.0): #it_path: image_token_file path self.ctx_num=ctx_num self.unit_feature_size=unit_feature_size self.unit_size=unit_size self.batch_size=batch_size self.movie_length_info=movie_length_info self.visual_feature_dim=self.unit_feature_size self.flow_feat_dir=flow_feat_dir self.appr_feat_dir=appr_feat_dir self.training_samples=[] self.central_num=central_num print "Reading training data list from "+clip_gt_path+" and "+background_path db_size = 0 with open(clip_gt_path) as f: db_size += len(f.readlines()) with open(background_path) as f: db_size += len(f.readlines()) with open(clip_gt_path) as f: for l in f: movie_name=l.rstrip().split(" ")[0] clip_start=float(l.rstrip().split(" ")[1]) clip_end=float(l.rstrip().split(" ")[2]) gt_start=float(l.rstrip().split(" ")[3]) gt_end=float(l.rstrip().split(" ")[4]) round_gt_start=np.round(gt_start/unit_size)*self.unit_size+1 round_gt_end=np.round(gt_end/unit_size)*self.unit_size+1 self.training_samples.append((movie_name,clip_start,clip_end,gt_start,gt_end,round_gt_start,round_gt_end,1)) print str(len(self.training_samples))+" training samples are read" positive_num=len(self.training_samples)*1.0 with open(background_path) as f: for l in f: # control the ratio between background samples and positive samples to be 10:1 if random.random()>pos_neg_ratio*positive_num/db_size: continue movie_name=l.rstrip().split(" ")[0] clip_start=float(l.rstrip().split(" ")[1]) clip_end=float(l.rstrip().split(" ")[2]) self.training_samples.append((movie_name,clip_start,clip_end,0,0,0,0,0)) self.num_samples=len(self.training_samples) print str(len(self.training_samples))+" training samples are read" def calculate_regoffset(self,clip_start,clip_end,round_gt_start,round_gt_end): start_offset=(round_gt_start-clip_start)/self.unit_size end_offset=(round_gt_end-clip_end)/self.unit_size return start_offset, end_offset ''' Get the central features ''' def get_pooling_feature(self,flow_feat_dir,appr_feat_dir,movie_name,start,end): swin_step=self.unit_size all_feat=np.zeros([0,self.unit_feature_size],dtype=np.float32) current_pos=start while current_pos<end: swin_start=current_pos swin_end=swin_start+swin_step flow_feat=np.load(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") appr_feat=np.load(appr_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") flow_feat=flow_feat/np.linalg.norm(flow_feat) appr_feat=appr_feat/np.linalg.norm(appr_feat) #feat=flow_feat feat=np.hstack((flow_feat,appr_feat)) all_feat=np.vstack((all_feat,feat)) current_pos+=swin_step pool_feat=all_feat return pool_feat ''' Get the past (on the left of the central unit) context features ''' def get_left_context_feature(self,flow_feat_dir,appr_feat_dir,movie_name,start,end): swin_step=self.unit_size all_feat=np.zeros([0,self.unit_feature_size],dtype=np.float32) count=0 current_pos=start context_ext=False while count<self.ctx_num/2: swin_start=current_pos-swin_step swin_end=current_pos if os.path.exists(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy"): flow_feat=np.load(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") appr_feat=np.load(appr_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") flow_feat=flow_feat/np.linalg.norm(flow_feat) appr_feat=appr_feat/np.linalg.norm(appr_feat) #feat=flow_feat feat=np.hstack((flow_feat,appr_feat)) all_feat=np.vstack((all_feat,feat)) context_ext=True current_pos-=swin_step count+=1 count=0 current_pos=start while count<self.ctx_num/2: swin_start=current_pos swin_end=current_pos+swin_step if os.path.exists(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy"): flow_feat=np.load(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") appr_feat=np.load(appr_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") flow_feat=flow_feat/np.linalg.norm(flow_feat) appr_feat=appr_feat/np.linalg.norm(appr_feat) #feat=flow_feat feat=np.hstack((flow_feat,appr_feat)) all_feat=np.vstack((all_feat,feat)) context_ext=True current_pos+=swin_step count+=1 if context_ext: pool_feat=all_feat else: # print "no left "+str(start) pool_feat=np.zeros([0,self.unit_feature_size],dtype=np.float32) #print pool_feat.shape return pool_feat ''' Get the future (on the right of the central unit) context features ''' def get_right_context_feature(self,flow_feat_dir,appr_feat_dir,movie_name,start,end): swin_step=self.unit_size all_feat=np.zeros([0,self.unit_feature_size],dtype=np.float32) count=0 current_pos=end context_ext=False while count<self.ctx_num/2: swin_start=current_pos swin_end=current_pos+swin_step if os.path.exists(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy"): flow_feat=np.load(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") appr_feat=np.load(appr_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") flow_feat=flow_feat/np.linalg.norm(flow_feat) appr_feat=appr_feat/np.linalg.norm(appr_feat) #feat=flow_feat feat=np.hstack((flow_feat,appr_feat)) all_feat=np.vstack((all_feat,feat)) context_ext=True current_pos+=swin_step count+=1 count=0 current_pos=end while count<self.ctx_num/2: swin_start=current_pos-swin_step swin_end=current_pos if os.path.exists(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy"): flow_feat=np.load(flow_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") appr_feat=np.load(appr_feat_dir+movie_name+".mp4"+"_"+str(swin_start)+"_"+str(swin_end)+".npy") flow_feat=flow_feat/np.linalg.norm(flow_feat) appr_feat=appr_feat/np.linalg.norm(appr_feat) #feat=flow_feat feat=np.hstack((flow_feat,appr_feat)) all_feat=np.vstack((all_feat,feat)) context_ext=True current_pos-=swin_step count+=1 if context_ext: pool_feat=all_feat else: # print "no right "+str(end) pool_feat=np.zeros([0,self.unit_feature_size],dtype=np.float32) #print pool_feat.shape return pool_feat def sample_to_number(self,all_feats,num): sampled_feats=np.zeros([num,all_feats.shape[1]],dtype=np.float32) if all_feats.shape[0]==0: return sampled_feats if all_feats.shape[0]==num: return all_feats else: for k in range(num): sampled_feats[k]=all_feats[all_feats.shape[0]/num*k,:] return sampled_feats def next_batch(self): random_batch_index=random.sample(range(self.num_samples),self.batch_size) central_batch=np.zeros([self.batch_size,self.central_num, self.visual_feature_dim]) left_batch=np.zeros([self.batch_size, self.ctx_num, self.visual_feature_dim]) right_batch=np.zeros([self.batch_size, self.ctx_num, self.visual_feature_dim]) label_batch=np.zeros([self.batch_size],dtype=np.int32) offset_batch=np.zeros([self.batch_size,2],dtype=np.float32) index=0 while index < self.batch_size: k=random_batch_index[index] movie_name=self.training_samples[k][0] if self.training_samples[k][7]==1: clip_start=self.training_samples[k][1] clip_end=self.training_samples[k][2] round_gt_start=self.training_samples[k][5] round_gt_end=self.training_samples[k][6] start_offset,end_offset=self.calculate_regoffset(clip_start,clip_end,round_gt_start,round_gt_end) featmap=self.get_pooling_feature(self.flow_feat_dir, self.appr_feat_dir, movie_name,clip_start,clip_end) left_feat=self.get_left_context_feature(self.flow_feat_dir, self.appr_feat_dir, movie_name,clip_start,clip_end) right_feat=self.get_right_context_feature(self.flow_feat_dir, self.appr_feat_dir, movie_name,clip_start,clip_end) featmap=self.sample_to_number(featmap,self.central_num) right_feat=self.sample_to_number(right_feat,self.ctx_num) left_feat=self.sample_to_number(left_feat,self.ctx_num) central_batch[index,:,:]=featmap left_batch[index,:,:]=left_feat right_batch[index,:,:]=right_feat label_batch[index]=1 offset_batch[index,0]=start_offset offset_batch[index,1]=end_offset #print str(clip_start)+" "+str(clip_end)+" "+str(round_gt_start)+" "+str(round_gt_end)+" "+str(start_offset)+" "+str(end_offset) index+=1 else: clip_start=self.training_samples[k][1] clip_end=self.training_samples[k][2] left_feat=self.get_left_context_feature(self.flow_feat_dir, self.appr_feat_dir,movie_name,clip_start,clip_end) right_feat=self.get_right_context_feature(self.flow_feat_dir, self.appr_feat_dir,movie_name,clip_start,clip_end) featmap=self.get_pooling_feature(self.flow_feat_dir, self.appr_feat_dir,movie_name,clip_start,clip_end) featmap=self.sample_to_number(featmap,self.central_num) right_feat=self.sample_to_number(right_feat,self.ctx_num) left_feat=self.sample_to_number(left_feat,self.ctx_num) central_batch[index,:,:]=featmap left_batch[index,:,:]=left_feat right_batch[index,:,:]=right_feat label_batch[index]=0 offset_batch[index,0]=0 offset_batch[index,1]=0 index+=1 return central_batch, left_batch, right_batch, label_batch,offset_batch ''' A class that handles the test set ''' class TestingDataSet(object): def __init__(self,flow_feat_dir,appr_feat_dir,test_clip_path,batch_size,ctx_num): self.ctx_num=ctx_num #il_path: image_label_file path self.batch_size=batch_size self.flow_feat_dir=flow_feat_dir self.appr_feat_dir=appr_feat_dir print "Reading testing data list from "+test_clip_path self.test_samples=[] with open(test_clip_path) as f: for l in f: movie_name=l.rstrip().split(" ")[0] clip_start=float(l.rstrip().split(" ")[1]) clip_end=float(l.rstrip().split(" ")[2]) self.test_samples.append((movie_name,clip_start,clip_end)) self.num_samples=len(self.test_samples) print "test clips number: "+str(len(self.test_samples))

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0

1

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null

0

1

0

2

5ba8bd99382a6bd8f9062e85811ea5bbc00b9220

345

py

Python

main.py

alextremblay962/Hydropinic_System

7fcc87f110425183fb8e18c7f7c6664781565f65

[ "MIT" ]

null

main.py

alextremblay962/Hydropinic_System

7fcc87f110425183fb8e18c7f7c6664781565f65

[ "MIT" ]

null

main.py

alextremblay962/Hydropinic_System

7fcc87f110425183fb8e18c7f7c6664781565f65

[ "MIT" ]

null

import serial import json import io import time ser = serial.Serial("COM24" , 9600, timeout=2) topic = "hydro/light1" payload = 1 #data = json.dumps({"topic":topic,"payload":payload}) data = "{\"topic\":\"hydro/light1\",\"payload\":1}" data = data.encode() print(data) ser.write(b'A') hello = ser.readline()#.decode("ascii") print(hello)

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0.669565

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1

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null

0

1

0

2

5baf938ce58015edbc41bd4ae801eee8162b79c1

2,282

py

Python

profileparser.py

JimKnowler/profile-visualiser

2398b17c68ea748fc82e7cc15e43ccbfb64f8e2c

[ "MIT" ]

3

2018-06-19T16:23:35.000Z

2021-07-15T05:35:21.000Z

profileparser.py

JimKnowler/profile-visualiser

2398b17c68ea748fc82e7cc15e43ccbfb64f8e2c

[ "MIT" ]

null

profileparser.py

JimKnowler/profile-visualiser

2398b17c68ea748fc82e7cc15e43ccbfb64f8e2c

[ "MIT" ]

null

class ProfileParser: def __init__(self, consumer): self._consumer = consumer def load_file(self, filename): with open(filename, "r") as file: for line_number, line in enumerate(file): try: line = line.rstrip() self.parse(line) except Exception as e: print "exception while parsing line ", line_number print ">> line: [", line, "]" print ">>", e raise e def parse(self, line): if line.startswith('#'): # ignore comment lines return split_line = line.split(' ',1) line_type = split_line[0] if line_type == 'T': split_line = line.split(' ',2) thread_id = int(split_line[1]) thread_label = split_line[2] self._consumer.on_thread(thread_id, thread_label) elif line_type == 'F': split_line = line.split(' ',3) thread_id = int(split_line[1]) function_id = int(split_line[2]) function_label = split_line[3] self._consumer.on_function(thread_id, function_id, function_label) elif line_type == 'S': split_line = line.split(' ',3) thread_id = int(split_line[1]) function_id = int(split_line[2]) time = int(split_line[3]) self._consumer.on_sample_start(thread_id, function_id, time) elif line_type == 'E': split_line = line.split(' ',3) thread_id = int(split_line[1]) function_id = int(split_line[2]) time = int(split_line[3]) self._consumer.on_sample_finish(thread_id, function_id, time) elif line_type == 'V': split_line = line.split(' ',3) thread_id = int(split_line[1]) event_id = int(split_line[2]) event_label = split_line[3] self._consumer.on_event(thread_id, event_id, event_label) elif line_type == 'Y': split_line = line.split(' ',3) thread_id = int(split_line[1]) event_id = int(split_line[2]) time = int(split_line[3]) self._consumer.on_event_emit(thread_id, event_id, time) elif line_type == 'C': split_line = line.split(' ',2) counter_id = int(split_line[1]) counter_label = split_line[2] self._consumer.on_counter(counter_id, counter_label) elif line_type == 'D': split_line = line.split(' ',3) counter_id = int(split_line[1]) time = int(split_line[2]) counter_value = int(split_line[3]) self._consumer.on_counter_value(counter_id, time, counter_value)

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69

0.667835

345

2,282

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0.20296

0.15222

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0

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2,282

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null

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0

null

1

0

null

0

1

0

2

5bb90766f7b85944500acf3f02a74757b861fc3d

8,492

py

Python

orquesta/tests/unit/graphing/native/test_routes_split.py

batk0/orquesta

f03f3f2f3820bf111a9277f4f6c5d6c83a89d004

[ "Apache-2.0" ]

null

orquesta/tests/unit/graphing/native/test_routes_split.py

batk0/orquesta

f03f3f2f3820bf111a9277f4f6c5d6c83a89d004

[ "Apache-2.0" ]

null

orquesta/tests/unit/graphing/native/test_routes_split.py

batk0/orquesta

f03f3f2f3820bf111a9277f4f6c5d6c83a89d004

[ "Apache-2.0" ]

null

# 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. from orquesta.tests.unit.composition.native import base class SplitWorkflowRoutesTest(base.OrchestraWorkflowComposerTest): def test_split(self): wf_name = 'split' expected_routes = [ { 'tasks': [ 'task1', 'task2', 'task4__1', 'task5__1', 'task6__1', 'task7__1', ], 'path': [ ('task1', 'task2', 0), ('task2', 'task4__1', 0), ('task4__1', 'task5__1', 0), ('task4__1', 'task6__1', 0), ('task5__1', 'task7__1', 0), ('task6__1', 'task7__1', 0), ] }, { 'tasks': [ 'task1', 'task3', 'task4__2', 'task5__2', 'task6__2', 'task7__2' ], 'path': [ ('task1', 'task3', 0), ('task3', 'task4__2', 0), ('task4__2', 'task5__2', 0), ('task4__2', 'task6__2', 0), ('task5__2', 'task7__2', 0), ('task6__2', 'task7__2', 0) ] } ] self.assert_wf_ex_routes(wf_name, expected_routes) def test_splits(self): wf_name = 'splits' expected_routes = [ { 'tasks': [ 'task1', 'task8__1' ], 'path': [ ('task1', 'task8__1', 0) ] }, { 'tasks': [ 'task1', 'task2', 'task4__1', 'task5__1', 'task6__1', 'task7__1', 'task8__2' ], 'path': [ ('task1', 'task2', 0), ('task2', 'task4__1', 0), ('task4__1', 'task5__1', 0), ('task4__1', 'task6__1', 0), ('task5__1', 'task7__1', 0), ('task6__1', 'task7__1', 0), ('task7__1', 'task8__2', 0) ] }, { 'tasks': [ 'task1', 'task3', 'task4__2', 'task5__2', 'task6__2', 'task7__2', 'task8__3' ], 'path': [ ('task1', 'task3', 0), ('task3', 'task4__2', 0), ('task4__2', 'task5__2', 0), ('task4__2', 'task6__2', 0), ('task5__2', 'task7__2', 0), ('task6__2', 'task7__2', 0), ('task7__2', 'task8__3', 0) ] } ] self.assert_wf_ex_routes(wf_name, expected_routes) def test_nested_splits(self): wf_name = 'splits-nested' expected_routes = [ { 'tasks': [ 'task1', 'task10__1', 'task2', 'task4__1', 'task5__1', 'task7__1', 'task8__1', 'task9__1' ], 'path': [ ('task1', 'task2', 0), ('task2', 'task4__1', 0), ('task4__1', 'task5__1', 0), ('task5__1', 'task7__1', 0), ('task7__1', 'task8__1', 0), ('task7__1', 'task9__1', 0), ('task8__1', 'task10__1', 0), ('task9__1', 'task10__1', 0) ] }, { 'tasks': [ 'task1', 'task10__2', 'task2', 'task4__1', 'task6__1', 'task7__2', 'task8__2', 'task9__2' ], 'path': [ ('task1', 'task2', 0), ('task2', 'task4__1', 0), ('task4__1', 'task6__1', 0), ('task6__1', 'task7__2', 0), ('task7__2', 'task8__2', 0), ('task7__2', 'task9__2', 0), ('task8__2', 'task10__2', 0), ('task9__2', 'task10__2', 0) ] }, { 'tasks': [ 'task1', 'task10__3', 'task3', 'task4__2', 'task5__2', 'task7__3', 'task8__3', 'task9__3' ], 'path': [ ('task1', 'task3', 0), ('task3', 'task4__2', 0), ('task4__2', 'task5__2', 0), ('task5__2', 'task7__3', 0), ('task7__3', 'task8__3', 0), ('task7__3', 'task9__3', 0), ('task8__3', 'task10__3', 0), ('task9__3', 'task10__3', 0) ] }, { 'tasks': [ 'task1', 'task10__4', 'task3', 'task4__2', 'task6__2', 'task7__4', 'task8__4', 'task9__4' ], 'path': [ ('task1', 'task3', 0), ('task3', 'task4__2', 0), ('task4__2', 'task6__2', 0), ('task6__2', 'task7__4', 0), ('task7__4', 'task8__4', 0), ('task7__4', 'task9__4', 0), ('task8__4', 'task10__4', 0), ('task9__4', 'task10__4', 0) ] } ] self.assert_wf_ex_routes(wf_name, expected_routes) def test_splits_extra_join(self): wf_name = 'splits-join' expected_routes = [ { 'tasks': [ 'task1', 'task2', 'task4__1', 'task5__1', 'task6__1', 'task7__1', 'task8__1' ], 'path': [ ('task1', 'task2', 0), ('task1', 'task8__1', 0), ('task2', 'task4__1', 0), ('task4__1', 'task5__1', 0), ('task4__1', 'task6__1', 0), ('task5__1', 'task7__1', 0), ('task6__1', 'task7__1', 0), ('task7__1', 'task8__1', 0) ] }, { 'tasks': [ 'task1', 'task3', 'task4__2', 'task5__2', 'task6__2', 'task7__2', 'task8__2' ], 'path': [ ('task1', 'task3', 0), ('task1', 'task8__2', 0), ('task3', 'task4__2', 0), ('task4__2', 'task5__2', 0), ('task4__2', 'task6__2', 0), ('task5__2', 'task7__2', 0), ('task6__2', 'task7__2', 0), ('task7__2', 'task8__2', 0) ] } ] self.assert_wf_ex_routes(wf_name, expected_routes)

32.166667

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8,492

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0.024618

0.032683

0.040747

0.566214

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0.485569

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0

0.125811

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263

75

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0.061352

0

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0

null

0

1

0

1

0

null

0

2

5bc0cb9ffa299ad9d23aa50d9179c1903fd178ee

811

py

Python

PSA/modules/BroEventDispatcher.py

SECURED-FP7/secured-psa-nsm

20c8f790ebc2d2aa8c33bda1e047f8f29275a0be

[ "Apache-2.0" ]

null

PSA/modules/BroEventDispatcher.py

SECURED-FP7/secured-psa-nsm

20c8f790ebc2d2aa8c33bda1e047f8f29275a0be

[ "Apache-2.0" ]

null

PSA/modules/BroEventDispatcher.py

SECURED-FP7/secured-psa-nsm

20c8f790ebc2d2aa8c33bda1e047f8f29275a0be

[ "Apache-2.0" ]

null

# -*- Mode:Python;indent-tabs-mode:nil; -*- # # BroEventDispatcher.py # # A simple event dispatcher. # # Author: jju / VTT Technical Research Centre of Finland Ltd., 2016 # import logging callbacks = { } def init(): pass def register( key, obj ): """ Register a callback for key 'key' """ global callbacks callbacks[ key ] = obj def unregister( key ): """ Unregisters callback for key 'key' """ global callbacks del callbacks[ key ] def dispatch( key, data ): """ Dispatch event 'data' to the callback registered for key 'key' """ global callbacks try: cb = callbacks[ key ] if cb != None: cb.onEvent( data ) except Exception as e: logging.warning( 'No dispatcher for key: ' + key + ': ' + str( e ) )

19.309524

76

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0.134172

0

0.006944

0.289766

811

41

77

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0.222222

false

0.055556

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0.277778

0

null

0

null

0

1

0

1

0

2

5bc3b76b4051d6f7137b9c441c17bb2450602f26

50,408

py

Python

StackApp/env/lib/python2.7/site-packages/blueprint/backend/files.py

jonathanmusila/StackOverflow-Lite

a9a03f129592c6f741eb4d1e608ca2db0e40bf11

[ "MIT" ]

null

StackApp/env/lib/python2.7/site-packages/blueprint/backend/files.py

jonathanmusila/StackOverflow-Lite

a9a03f129592c6f741eb4d1e608ca2db0e40bf11

[ "MIT" ]

null

StackApp/env/lib/python2.7/site-packages/blueprint/backend/files.py

jonathanmusila/StackOverflow-Lite

a9a03f129592c6f741eb4d1e608ca2db0e40bf11

[ "MIT" ]

null

""" Search for configuration files to include in the blueprint. """ import base64 from collections import defaultdict import errno import glob import grp import hashlib import logging import os.path import pwd import re import stat import subprocess from blueprint import util # An extra list of pathnames and MD5 sums that will be checked after no # match is found in `dpkg`(1)'s list. If a pathname is given as the value # then that file's contents will be hashed. # # Many of these files are distributed with packages and copied from # `/usr/share` in the `postinst` program. # # XXX Update `blueprintignore`(5) if you make changes here. MD5SUMS = {'/etc/adduser.conf': ['/usr/share/adduser/adduser.conf'], '/etc/apparmor.d/tunables/home.d/ubuntu': ['2a88811f7b763daa96c20b20269294a4'], '/etc/apt/apt.conf.d/00CDMountPoint': ['cb46a4e03f8c592ee9f56c948c14ea4e'], '/etc/apt/apt.conf.d/00trustcdrom': ['a8df82e6e6774f817b500ee10202a968'], '/etc/chatscripts/provider': ['/usr/share/ppp/provider.chatscript'], '/etc/default/console-setup': ['0fb6cec686d0410993bdf17192bee7d6', 'b684fd43b74ac60c6bdafafda8236ed3', '/usr/share/console-setup/console-setup'], '/etc/default/grub': ['ee9df6805efb2a7d1ba3f8016754a119', 'ad9283019e54cedfc1f58bcc5e615dce'], '/etc/default/irqbalance': ['7e10d364b9f72b11d7bf7bd1cfaeb0ff'], '/etc/default/keyboard': ['06d66484edaa2fbf89aa0c1ec4989857'], '/etc/default/locale': ['164aba1ef1298affaa58761647f2ceba', '7c32189e775ac93487aa4a01dffbbf76'], '/etc/default/rcS': ['/usr/share/initscripts/default.rcS'], '/etc/environment': ['44ad415fac749e0c39d6302a751db3f2'], '/etc/hosts.allow': ['8c44735847c4f69fb9e1f0d7a32e94c1'], '/etc/hosts.deny': ['92a0a19db9dc99488f00ac9e7b28eb3d'], '/etc/initramfs-tools/modules': ['/usr/share/initramfs-tools/modules'], '/etc/inputrc': ['/usr/share/readline/inputrc'], '/etc/iscsi/iscsid.conf': ['6c6fd718faae84a4ab1b276e78fea471'], '/etc/kernel-img.conf': ['f1ed9c3e91816337aa7351bdf558a442'], '/etc/ld.so.conf': ['4317c6de8564b68d628c21efa96b37e4'], '/etc/ld.so.conf.d/nosegneg.conf': ['3c6eccf8f1c6c90eaf3eb486cc8af8a3'], '/etc/networks': ['/usr/share/base-files/networks'], '/etc/nsswitch.conf': ['/usr/share/base-files/nsswitch.conf'], '/etc/pam.d/common-account': ['9d50c7dda6ba8b6a8422fd4453722324'], '/etc/pam.d/common-auth': ['a326c972f4f3d20e5f9e1b06eef4d620'], '/etc/pam.d/common-password': ['9f2fbf01b1a36a017b16ea62c7ff4c22'], '/etc/pam.d/common-session': ['e2b72dd3efb2d6b29698f944d8723ab1'], '/etc/pam.d/common-session-noninteractive': ['508d44b6daafbc3d6bd587e357a6ff5b'], '/etc/pam.d/fingerprint-auth-ac': ['d851f318a16c32ed12f5b1cd55e99281'], '/etc/pam.d/fingerprint-auth': ['d851f318a16c32ed12f5b1cd55e99281'], '/etc/pam.d/password-auth-ac': ['e8aee610b8f5de9b6a6cdba8a33a4833'], '/etc/pam.d/password-auth': ['e8aee610b8f5de9b6a6cdba8a33a4833'], '/etc/pam.d/smartcard-auth-ac': ['dfa6696dc19391b065c45b9525d3ae55'], '/etc/pam.d/smartcard-auth': ['dfa6696dc19391b065c45b9525d3ae55'], '/etc/pam.d/system-auth-ac': ['e8aee610b8f5de9b6a6cdba8a33a4833'], '/etc/pam.d/system-auth': ['e8aee610b8f5de9b6a6cdba8a33a4833'], '/etc/ppp/chap-secrets': ['faac59e116399eadbb37644de6494cc4'], '/etc/ppp/pap-secrets': ['698c4d412deedc43dde8641f84e8b2fd'], '/etc/ppp/peers/provider': ['/usr/share/ppp/provider.peer'], '/etc/profile': ['/usr/share/base-files/profile'], '/etc/python/debian_config': ['7f4739eb8858d231601a5ed144099ac8'], '/etc/rc.local': ['10fd9f051accb6fd1f753f2d48371890'], '/etc/rsyslog.d/50-default.conf': ['/usr/share/rsyslog/50-default.conf'], '/etc/security/opasswd': ['d41d8cd98f00b204e9800998ecf8427e'], '/etc/selinux/restorecond.conf': ['b5b371cb8c7b33e17bdd0d327fa69b60'], '/etc/selinux/targeted/modules/semanage.trans.LOCK': ['d41d8cd98f00b204e9800998ecf8427e'], '/etc/selinux/targeted/modules/active/file_contexts.template': ['bfa4d9e76d88c7dc49ee34ac6f4c3925'], '/etc/selinux/targeted/modules/active/file_contexts': ['1622b57a3b85db3112c5f71238c68d3e'], '/etc/selinux/targeted/modules/active/users_extra': ['daab665152753da1bf92ca0b2af82999'], '/etc/selinux/targeted/modules/active/base.pp': ['6540e8e1a9566721e70953a3cb946de4'], '/etc/selinux/targeted/modules/active/modules/fetchmail.pp': ['0b0c7845f10170a76b9bd4213634cb43'], '/etc/selinux/targeted/modules/active/modules/usbmuxd.pp': ['72a039c5108de78060651833a073dcd1'], '/etc/selinux/targeted/modules/active/modules/pulseaudio.pp': ['d9c4f1abf8397d7967bb3014391f7b61'], '/etc/selinux/targeted/modules/active/modules/screen.pp': ['c343b6c4df512b3ef435f06ed6cfd8b4'], '/etc/selinux/targeted/modules/active/modules/cipe.pp': ['4ea2d39babaab8e83e29d13d7a83e8da'], '/etc/selinux/targeted/modules/active/modules/rpcbind.pp': ['48cdaa5a31d75f95690106eeaaf855e3'], '/etc/selinux/targeted/modules/active/modules/nut.pp': ['d8c81e82747c85d6788acc9d91178772'], '/etc/selinux/targeted/modules/active/modules/mozilla.pp': ['405329d98580ef56f9e525a66adf7dc5'], '/etc/selinux/targeted/modules/active/modules/openvpn.pp': ['110fe4c59b7d7124a7d33fda1f31428a'], '/etc/selinux/targeted/modules/active/modules/denyhosts.pp': ['d12dba0c7eea142c16abd1e0424dfda4'], '/etc/selinux/targeted/modules/active/modules/rhcs.pp': ['e7a6bf514011f39f277d401cd3d3186a'], '/etc/selinux/targeted/modules/active/modules/radius.pp': ['a7380d93d0ac922364bc1eda85af80bf'], '/etc/selinux/targeted/modules/active/modules/policykit.pp': ['1828a7a89c5c7a9cd0bd1b04b379e2c0'], '/etc/selinux/targeted/modules/active/modules/varnishd.pp': ['260ef0797e6178de4edeeeca741e2374'], '/etc/selinux/targeted/modules/active/modules/bugzilla.pp': ['c70402a459add46214ee370039398931'], '/etc/selinux/targeted/modules/active/modules/java.pp': ['ac691d90e755a9a929c1c8095d721899'], '/etc/selinux/targeted/modules/active/modules/courier.pp': ['d6eb2ef77d755fd49d61e48383867ccb'], '/etc/selinux/targeted/modules/active/modules/userhelper.pp': ['787e5ca0ee1c9e744e9116837d73c2b9'], '/etc/selinux/targeted/modules/active/modules/sssd.pp': ['aeb11626d9f34af08e9cd50b1b5751c7'], '/etc/selinux/targeted/modules/active/modules/munin.pp': ['db2927d889a3dfbe439eb67dfdcba61d'], '/etc/selinux/targeted/modules/active/modules/ppp.pp': ['7c6f91f4aae1c13a3d2a159a4c9b8553'], '/etc/selinux/targeted/modules/active/modules/xfs.pp': ['6b3be69f181f28e89bfcffa032097dcb'], '/etc/selinux/targeted/modules/active/modules/consolekit.pp': ['ef682e07a732448a12f2e93da946d655'], '/etc/selinux/targeted/modules/active/modules/telnet.pp': ['43fd78d022e499bcb6392da33ed6e28d'], '/etc/selinux/targeted/modules/active/modules/nagios.pp': ['9c9e482867dce0aa325884a50a023a83'], '/etc/selinux/targeted/modules/active/modules/sysstat.pp': ['0fc4e6b3472ce5e8cfd0f3e785809552'], '/etc/selinux/targeted/modules/active/modules/tor.pp': ['2c926e3c5b79879ed992b72406544394'], '/etc/selinux/targeted/modules/active/modules/qpidd.pp': ['959d4763313e80d8a75bc009094ea085'], '/etc/selinux/targeted/modules/active/modules/radvd.pp': ['a7636d3df0f431ad421170150e8a9d2e'], '/etc/selinux/targeted/modules/active/modules/aiccu.pp': ['c0eafc1357cd0c07be4034c1a27ada98'], '/etc/selinux/targeted/modules/active/modules/tgtd.pp': ['55da30386834e60a10b4bab582a1b689'], '/etc/selinux/targeted/modules/active/modules/sectoolm.pp': ['6f8fba8d448da09f85a03622de295ba9'], '/etc/selinux/targeted/modules/active/modules/unconfineduser.pp': ['0bc2f6faf3b38a657c4928ec7b611d7a'], '/etc/selinux/targeted/modules/active/modules/sambagui.pp': ['31a5121c80a6114b25db4984bdf8d999'], '/etc/selinux/targeted/modules/active/modules/mpd.pp': ['cdabce7844a227a81c2334dec0c49e9b'], '/etc/selinux/targeted/modules/active/modules/hddtemp.pp': ['76d85610a7e198c82406d850ccd935e1'], '/etc/selinux/targeted/modules/active/modules/clamav.pp': ['f8f5b60e3f5b176810ea0666b989f63d'], '/etc/selinux/targeted/modules/active/modules/tvtime.pp': ['886dc0a6e9ebcbb6787909851e7c209f'], '/etc/selinux/targeted/modules/active/modules/cgroup.pp': ['9e1cd610b6fde0e9b42cabd7f994db46'], '/etc/selinux/targeted/modules/active/modules/rshd.pp': ['e39cec5e9ade8a619ecb91b85a351408'], '/etc/selinux/targeted/modules/active/modules/roundup.pp': ['133b9b3b2f70422953851e18d6c24276'], '/etc/selinux/targeted/modules/active/modules/virt.pp': ['9ae34fca60c651c10298797c1260ced0'], '/etc/selinux/targeted/modules/active/modules/asterisk.pp': ['f823fdcb2c6df4ddde374c9edb11ef26'], '/etc/selinux/targeted/modules/active/modules/livecd.pp': ['8972e6ef04f490b8915e7983392b96ce'], '/etc/selinux/targeted/modules/active/modules/netlabel.pp': ['91fc83e5798bd271742823cbb78c17ff'], '/etc/selinux/targeted/modules/active/modules/qemu.pp': ['e561673d5f9e5c19bcae84c1641fa4a7'], '/etc/selinux/targeted/modules/active/modules/unconfined.pp': ['3acd5dceb6b7a71c32919c29ef920785'], '/etc/selinux/targeted/modules/active/modules/postgresql.pp': ['3ecc9f2c7b911fa37d8ab6cc1c6b0ea7'], '/etc/selinux/targeted/modules/active/modules/apache.pp': ['c0089e4472399e9bc5237b1e0485ac39'], '/etc/selinux/targeted/modules/active/modules/abrt.pp': ['09e212789d19f41595d7952499236a0c'], '/etc/selinux/targeted/modules/active/modules/rsync.pp': ['e2567e8716c116ea6324c77652c97137'], '/etc/selinux/targeted/modules/active/modules/git.pp': ['7904fd9fbae924be5377ccd51036248e'], '/etc/selinux/targeted/modules/active/modules/amanda.pp': ['594eddbbe3b4530e79702fc6a882010e'], '/etc/selinux/targeted/modules/active/modules/cvs.pp': ['62cf7b7d58f507cc9f507a6c303c8020'], '/etc/selinux/targeted/modules/active/modules/chronyd.pp': ['a4ff3e36070d461771230c4019b23440'], '/etc/selinux/targeted/modules/active/modules/gpm.pp': ['ed3f26e774be81c2cbaaa87dcfe7ae2d'], '/etc/selinux/targeted/modules/active/modules/modemmanager.pp': ['840d4da9f32a264436f1b22d4d4a0b2a'], '/etc/selinux/targeted/modules/active/modules/podsleuth.pp': ['67e659e9554bc35631ee829b5dc71647'], '/etc/selinux/targeted/modules/active/modules/publicfile.pp': ['0f092d92c326444dc9cee78472c56655'], '/etc/selinux/targeted/modules/active/modules/postfix.pp': ['a00647ad811c22810c76c1162a97e74b'], '/etc/selinux/targeted/modules/active/modules/exim.pp': ['8c3cd1fbd8f68e80ac7707f243ac1911'], '/etc/selinux/targeted/modules/active/modules/telepathy.pp': ['9b32f699beb6f9c563f06f6b6d76732c'], '/etc/selinux/targeted/modules/active/modules/amtu.pp': ['1b87c9fef219244f80b1f8f57a2ce7ea'], '/etc/selinux/targeted/modules/active/modules/bitlbee.pp': ['cf0973c8fff61577cf330bb74ef75eed'], '/etc/selinux/targeted/modules/active/modules/memcached.pp': ['0146491b4ab9fbd2854a7e7fb2092168'], '/etc/selinux/targeted/modules/active/modules/sandbox.pp': ['82502d6d11b83370d1a77343f20d669f'], '/etc/selinux/targeted/modules/active/modules/dictd.pp': ['6119d37987ea968e90a39d96866e5805'], '/etc/selinux/targeted/modules/active/modules/pingd.pp': ['16c40af7785c8fa9d40789284ce8fbb9'], '/etc/selinux/targeted/modules/active/modules/milter.pp': ['acaec7d2ee341e97ac5e345b55f6c7ae'], '/etc/selinux/targeted/modules/active/modules/snort.pp': ['25f360aa5dec254a8fc18262bbe40510'], '/etc/selinux/targeted/modules/active/modules/cups.pp': ['5323d417895d5ab508048e2bc45367bf'], '/etc/selinux/targeted/modules/active/modules/rdisc.pp': ['5bed79cb1f4d5a2b822d6f8dbf53fe97'], '/etc/selinux/targeted/modules/active/modules/rlogin.pp': ['6f88cc86985b4bc79d4b1afbffb1a732'], '/etc/selinux/targeted/modules/active/modules/openct.pp': ['884f078f5d12f7b1c75cf011a94746e1'], '/etc/selinux/targeted/modules/active/modules/dbskk.pp': ['caa93f24bfeede892fd97c59ee8b61da'], '/etc/selinux/targeted/modules/active/modules/bluetooth.pp': ['ce4f1b34168c537b611783033316760e'], '/etc/selinux/targeted/modules/active/modules/gpsd.pp': ['dd15485b8c6e5aeac018ddbe0948464c'], '/etc/selinux/targeted/modules/active/modules/tuned.pp': ['5fc9de20402245e4a1a19c5b31101d06'], '/etc/selinux/targeted/modules/active/modules/piranha.pp': ['fcedf8588c027633bedb76b598b7586f'], '/etc/selinux/targeted/modules/active/modules/vhostmd.pp': ['0ca7152ed8a0ae393051876fe89ed657'], '/etc/selinux/targeted/modules/active/modules/corosync.pp': ['20518dface3d23d7408dd56a51c8e6e1'], '/etc/selinux/targeted/modules/active/modules/clogd.pp': ['533994a32ecf847a3162675e171c847c'], '/etc/selinux/targeted/modules/active/modules/samba.pp': ['c7cd9b91a5ba4f0744e3f55a800f2831'], '/etc/selinux/targeted/modules/active/modules/howl.pp': ['fef7dd76a97921c3e5e0e66fbac15091'], '/etc/selinux/targeted/modules/active/modules/shutdown.pp': ['55f36d9820dcd19c66729d446d3ce6b2'], '/etc/selinux/targeted/modules/active/modules/oddjob.pp': ['54d59b40e7bc0dc0dee3882e6c0ce9f3'], '/etc/selinux/targeted/modules/active/modules/pcscd.pp': ['e728f332850dfcb5637c4e8f220af2fc'], '/etc/selinux/targeted/modules/active/modules/canna.pp': ['de4f1a3ada6f9813da36febc31d2a282'], '/etc/selinux/targeted/modules/active/modules/arpwatch.pp': ['0ddc328fa054f363a035ba44ec116514'], '/etc/selinux/targeted/modules/active/modules/seunshare.pp': ['64844bbf79ee23e087a5741918f3a7ad'], '/etc/selinux/targeted/modules/active/modules/rhgb.pp': ['c9630cc5830fcb4b775985c5740f5a71'], '/etc/selinux/targeted/modules/active/modules/prelude.pp': ['2b85511c571c19751bb79b288267661c'], '/etc/selinux/targeted/modules/active/modules/portmap.pp': ['231abe579c0370f49cac533c6057792b'], '/etc/selinux/targeted/modules/active/modules/logadm.pp': ['980b1345ef8944a90b6efdff0c8b3278'], '/etc/selinux/targeted/modules/active/modules/ptchown.pp': ['987fc8a6ff50ef7eed0edc79f91b1ec5'], '/etc/selinux/targeted/modules/active/modules/vmware.pp': ['8cf31ec8abd75f2a6c56857146caf5a1'], '/etc/selinux/targeted/modules/active/modules/portreserve.pp': ['0354f017b429dead8de0d143f7950fcc'], '/etc/selinux/targeted/modules/active/modules/awstats.pp': ['c081d3168b28765182bb4ec937b4c0b1'], '/etc/selinux/targeted/modules/active/modules/tmpreaper.pp': ['ac0173dd09a54a87fdcb42d3a5e29442'], '/etc/selinux/targeted/modules/active/modules/postgrey.pp': ['68013352c07570ac38587df9fb7e88ee'], '/etc/selinux/targeted/modules/active/modules/tftp.pp': ['a47fb7872bfb06d80c8eef969d91e6f9'], '/etc/selinux/targeted/modules/active/modules/rgmanager.pp': ['1cee78e1ff3f64c4d013ce7b820e534b'], '/etc/selinux/targeted/modules/active/modules/aisexec.pp': ['95e70fd35e9cb8284488d6bf970815b7'], '/etc/selinux/targeted/modules/active/modules/xguest.pp': ['d8df4b61df93008cd594f98c852d4cba'], 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'/etc/selinux/targeted/modules/active/modules/finger.pp': ['5dd6b44358bbfabfdc4f546e1ed34370'], '/etc/selinux/targeted/modules/active/modules/dhcp.pp': ['7e63b07b64848a017eec5d5f6b88f22e'], '/etc/selinux/targeted/modules/active/modules/xen.pp': ['67086e8e94bdaab8247ac4d2e23162d1'], '/etc/selinux/targeted/modules/active/modules/plymouthd.pp': ['1916027e7c9f28430fa2ac30334e8964'], '/etc/selinux/targeted/modules/active/modules/uucp.pp': ['5bec7a345a314a37b4a2227bdfa926f1'], '/etc/selinux/targeted/modules/active/modules/daemontools.pp': ['aad7633adfc8b04e863b481deebaf14a'], '/etc/selinux/targeted/modules/active/modules/kdumpgui.pp': ['66e08b4187623fa1c535972a35ec058c'], '/etc/selinux/targeted/modules/active/modules/privoxy.pp': ['f13c986051659fa900786ea54a59ceae'], '/etc/selinux/targeted/modules/active/modules/unprivuser.pp': ['a0d128b495a6ea5da72c849ac63c5848'], '/etc/selinux/targeted/modules/active/modules/ada.pp': ['a75fd52c873e2c9326ad87f7515a664f'], '/etc/selinux/targeted/modules/active/modules/lircd.pp': ['3cc5cc5b24d40416f9d630a80005d33b'], '/etc/selinux/targeted/modules/active/modules/openoffice.pp': ['522c3ee13bc37cbe9903d00f0cbccd1d'], '/etc/selinux/targeted/modules/active/modules/puppet.pp': ['9da4c553f40f3dea876171e672168044'], '/etc/selinux/targeted/modules/active/modules/wine.pp': ['31c470eabd98c5a5dbc66ba52ad64de0'], '/etc/selinux/targeted/modules/active/modules/ulogd.pp': ['065551ea63de34a7257ecec152f61552'], '/etc/selinux/targeted/modules/active/modules/mplayer.pp': ['f889dbfa3d9ef071d8e569def835a2f3'], '/etc/selinux/targeted/modules/active/modules/ftp.pp': ['75a9f3563903eb8126ffbcc9277e1d8c'], '/etc/selinux/targeted/modules/active/modules/gnome.pp': ['b859e2d45123f60ff27a90cdb0f40e1b'], '/etc/selinux/targeted/modules/active/modules/ethereal.pp': ['8963c6b80025b27850f0cdf565e5bd54'], '/etc/selinux/targeted/modules/active/modules/iscsi.pp': ['7786cb4a84889010751b4d89c72a2956'], '/etc/selinux/targeted/modules/active/modules/chrome.pp': ['cb44c1c7b13cc04c07c4e787a259b63f'], '/etc/selinux/targeted/modules/active/modules/guest.pp': ['308d614589af73e39a22e5c741e9eecb'], '/etc/selinux/targeted/modules/active/modules/inn.pp': ['8d60592dcd3bf4d2fa97f0fefa9374ca'], '/etc/selinux/targeted/modules/active/modules/gitosis.pp': ['21c79a711157224bebba0a2cccbe8881'], '/etc/selinux/targeted/modules/active/modules/ksmtuned.pp': ['8f985e777c206d2bde3fc2ac6a28cd24'], '/etc/selinux/targeted/modules/active/modules/sosreport.pp': ['9b4780d27555e94335f80a0bb2ab4f14'], '/etc/selinux/targeted/modules/active/modules/ipsec.pp': ['68cacb8c78796957fb4a181390033b16'], '/etc/selinux/targeted/modules/active/modules/comsat.pp': ['1cecb3f5cbe24251017908e14838ee2a'], '/etc/selinux/targeted/modules/active/modules/gpg.pp': ['75358ddabb045e91010d80f1ab68307a'], '/etc/selinux/targeted/modules/active/modules/gnomeclock.pp': ['a4e74df48faab3af8f4df0fa16c65c7e'], '/etc/selinux/targeted/modules/active/modules/sasl.pp': ['5ba9be813a7dd4236fc2d37bc17c5052'], '/etc/selinux/targeted/modules/active/modules/vpn.pp': ['32ae00c287432ae5ad4f8affbc9e44fe'], '/etc/selinux/targeted/modules/active/modules/accountsd.pp': ['308057b48c6d70a45e5a603dbe625c2d'], '/etc/selinux/targeted/modules/active/modules/devicekit.pp': ['1f5a8f12ebeebfed2cfeb3ee4648dd13'], '/etc/selinux/targeted/modules/active/modules/psad.pp': ['b02f11705249c93735f019f5b97fdf7b'], '/etc/selinux/targeted/modules/active/modules/mono.pp': ['8bba1cc6826e8300c140f9c393ad07e9'], '/etc/selinux/targeted/modules/active/modules/cachefilesd.pp': ['82b93ba87b5920ecc8a7388f4cf8ea43'], '/etc/selinux/targeted/modules/active/modules/usbmodules.pp': ['20c3a57da3c1311a75a63f1c6ae91bf3'], '/etc/selinux/targeted/modules/active/modules/certmonger.pp': ['b9fe8ba6abc5204cd8eec546f5614ff5'], '/etc/selinux/targeted/modules/active/modules/pegasus.pp': ['bb0ec4379c28b196d1794d7310111d98'], '/etc/selinux/targeted/modules/active/modules/ntop.pp': ['99b46fe44ccf3c4e045dbc73d2a88f59'], '/etc/selinux/targeted/modules/active/modules/zebra.pp': ['12adcaae458d18f650578ce25e10521a'], '/etc/selinux/targeted/modules/active/modules/soundserver.pp': ['583abd9ccef70279bff856516974d471'], '/etc/selinux/targeted/modules/active/modules/stunnel.pp': ['2693ac1bf08287565c3b4e58d0f9ea55'], '/etc/selinux/targeted/modules/active/modules/ldap.pp': ['039baf0976f316c3f209a5661174a72e'], '/etc/selinux/targeted/modules/active/modules/fail2ban.pp': ['ce13513c427ff140bf988b01bd52e886'], '/etc/selinux/targeted/modules/active/modules/spamassassin.pp': ['e02232992676b0e1279c54bfeea290e3'], '/etc/selinux/targeted/modules/active/modules/procmail.pp': ['d5c58e90fac452a1a6d68cc496e7f1ae'], '/etc/selinux/targeted/modules/active/modules/afs.pp': ['6e7a4bf08dc7fa5a0f97577b913267ad'], '/etc/selinux/targeted/modules/active/modules/ricci.pp': ['8b1d44245be204907c82c3580a43901d'], '/etc/selinux/targeted/modules/active/modules/qmail.pp': ['ea08eb2172c275598d4f85c9b78182cd'], '/etc/selinux/targeted/modules/active/modules/ccs.pp': ['cad223d57f431e2f88a1d1542c2ac504'], '/etc/selinux/targeted/modules/active/modules/audioentropy.pp': ['19f6fd5e3ee2a3726a952631e993a133'], '/etc/selinux/targeted/modules/active/modules/ncftool.pp': ['c15f4833a21e9c8cd1237ee568aadcf3'], '/etc/selinux/targeted/modules/active/modules/nx.pp': ['3677983206101cfcd2182e180ef3876b'], '/etc/selinux/targeted/modules/active/modules/rtkit.pp': ['0eaae15f4c12522270b26769487a06e0'], '/etc/selinux/targeted/modules/active/modules/ntp.pp': ['141339ee3372e07d32575c6777c8e466'], '/etc/selinux/targeted/modules/active/modules/likewise.pp': ['b5f0d18f8b601e102fd9728fbb309692'], '/etc/selinux/targeted/modules/active/modules/aide.pp': ['69600bc8a529f8128666a563c7409929'], '/etc/selinux/targeted/modules/active/modules/nslcd.pp': ['5c87b1c80bdd8bbf60c33ef51a765a93'], '/etc/selinux/targeted/modules/active/modules/slocate.pp': ['fdea88c374382f3d652a1ac529fbd189'], '/etc/selinux/targeted/modules/active/modules/execmem.pp': ['44cc2d117e3bf1a33d4e3516aaa7339d'], '/etc/selinux/targeted/modules/active/modules/cpufreqselector.pp': ['7da9c9690dc4f076148ef35c3644af13'], '/etc/selinux/targeted/modules/active/modules/cmirrord.pp': ['084b532fa5ccd6775c483d757bcd0920'], '/etc/selinux/targeted/modules/active/modules/bind.pp': ['5560f5706c8c8e83d8a2ac03a85b93fb'], '/etc/selinux/targeted/modules/active/modules/uml.pp': ['a0841bc9ffca619fe5d44c557b70d258'], '/etc/selinux/targeted/modules/active/modules/staff.pp': ['bdf16ee0fa0721770aa31c52e45227c3'], '/etc/selinux/targeted/modules/active/modules/certmaster.pp': ['bc589a4f0dd49a05d52b9ffda7bdd149'], '/etc/selinux/targeted/modules/active/modules/webalizer.pp': ['c99ccad469be3c901ede9da9a87e44b2'], '/etc/selinux/targeted/modules/active/modules/hal.pp': ['c75783ec2dd49d437a242e0c69c31c96'], '/etc/selinux/targeted/modules/active/modules/kdump.pp': ['d731820c7b5bb711566ea23970106b7a'], '/etc/selinux/targeted/modules/active/modules/firewallgui.pp': ['ee3522a0072989ed08f70b03f7fd69d9'], '/etc/selinux/targeted/modules/active/modules/tcpd.pp': ['b1f7db819812da14c4e836a9d9e79980'], '/etc/selinux/targeted/modules/active/modules/mailman.pp': ['4116cbe11d943a076dd06cea91993745'], '/etc/selinux/targeted/modules/active/modules/smartmon.pp': ['45d6440b436d8ac3f042e80c392dd672'], '/etc/selinux/targeted/modules/active/modules/smoltclient.pp': ['dcfd6ecd62ee7191abda39315ec6ef1b'], '/etc/selinux/targeted/modules/active/modules/kerberos.pp': ['936533081cfbe28eb9145fde86edb4f8'], '/etc/selinux/targeted/modules/active/modules/lockdev.pp': ['e2da620d3272f296dd90bff8b921d203'], '/etc/selinux/targeted/modules/active/modules/automount.pp': ['a06d3d617c6d8c29e29ce3fb0db48c9c'], '/etc/selinux/targeted/modules/active/modules/webadm.pp': ['4ac9b2f95f8d8218ec93f001995fd8ba'], '/etc/selinux/targeted/modules/active/modules/pyzor.pp': ['c2b00c08d77d7d5a8588dd82c489e354'], '/etc/selinux/targeted/modules/active/modules/rssh.pp': ['aacef6c826e9d699e84a1dd564b68105'], '/etc/selinux/targeted/modules/active/modules/nsplugin.pp': ['0c90d308f5e956900150eb6ed84b0b54'], '/etc/selinux/targeted/modules/active/modules/lpd.pp': ['5bf17a46aa2d3e2ecc0daffcf092054e'], '/etc/selinux/targeted/modules/active/modules/dcc.pp': ['84749af337d72ba6bbbe54b013c6c62c'], '/etc/selinux/targeted/modules/active/modules/irc.pp': ['42897f214251c7ca9bc04379c4abff5e'], '/etc/selinux/targeted/modules/active/modules/icecast.pp': ['962c81fc8ef5fd49c925a2249d229d1d'], '/etc/selinux/targeted/modules/active/modules/dnsmasq.pp': ['ec4a8a50eb5806e450d97a77cbe8a8b4'], '/etc/selinux/targeted/modules/active/modules/jabber.pp': ['5a528d52f7337d44bfc867333f2b1921'], '/etc/selinux/targeted/modules/active/modules/remotelogin.pp': ['68c22a0bc6e4d5031153cf10d75ba76a'], '/etc/selinux/targeted/modules/active/modules/boinc.pp': ['a70386e9ffdaccd04cbb565e6fe5c822'], '/etc/selinux/targeted/modules/active/modules/mrtg.pp': ['7e6f395e72768d350d259c15d22a1cbb'], '/etc/selinux/targeted/modules/active/modules/snmp.pp': ['fc5166e3066504601037054874fe0487'], '/etc/selinux/targeted/modules/active/modules/cyrus.pp': ['d2e792bf111ce4a6ffdb87fe11d89d16'], '/etc/selinux/targeted/modules/active/modules/dovecot.pp': ['b716de8b77f0dfeb9212d5cf36bddfa1'], '/etc/selinux/targeted/modules/active/modules/cdrecord.pp': ['24c0325480e2f1d6cf1ce31c25d5f10a'], '/etc/selinux/targeted/modules/active/modules/calamaris.pp': ['c7ec43f01369524db32249fb755f4e7f'], '/etc/selinux/targeted/modules/active/modules/kerneloops.pp': ['2493d3308dfcd34e94308af9d5c888c3'], '/etc/selinux/targeted/modules/active/modules/razor.pp': ['06425e50a31f14cec090c30e05fb9827'], '/etc/selinux/targeted/modules/active/netfilter_contexts': ['d41d8cd98f00b204e9800998ecf8427e'], '/etc/selinux/targeted/modules/active/seusers.final': ['fdf1cdf1d373e4583ca759617a1d2af3'], '/etc/selinux/targeted/modules/active/file_contexts.homedirs': ['d7c4747704e9021ec2e16c7139fedfd9'], '/etc/selinux/targeted/modules/active/commit_num': ['c08cc266624f6409b01432dac9576ab0'], '/etc/selinux/targeted/modules/active/policy.kern': ['5398a60f820803049b5bb7d90dd6196b'], '/etc/selinux/targeted/modules/active/homedir_template': ['682a31c8036aaf9cf969093d7162960a'], '/etc/selinux/targeted/modules/semanage.read.LOCK': ['d41d8cd98f00b204e9800998ecf8427e'], '/etc/selinux/targeted/contexts/failsafe_context': ['940b12538b676287b3c33e68426898ac'], '/etc/selinux/targeted/contexts/virtual_domain_context': ['1e28f1b8e58e56a64c852bd77f57d121'], '/etc/selinux/targeted/contexts/removable_context': ['e56a6b14d2bed27405d2066af463df9f'], '/etc/selinux/targeted/contexts/netfilter_contexts': ['d41d8cd98f00b204e9800998ecf8427e'], '/etc/selinux/targeted/contexts/userhelper_context': ['53441d64f9bc6337e3aac33f05d0954c'], '/etc/selinux/targeted/contexts/virtual_image_context': ['b21a69d3423d2e085d5195e25922eaa1'], '/etc/selinux/targeted/contexts/securetty_types': ['ee2445f940ed1b33e778a921cde8ad9e'], '/etc/selinux/targeted/contexts/default_type': ['d0f63fea19ee82e5f65bdbb1de899c5d'], '/etc/selinux/targeted/contexts/dbus_contexts': ['b1c42884fa5bdbde53d64cff469374fd'], '/etc/selinux/targeted/contexts/files/file_contexts': ['1622b57a3b85db3112c5f71238c68d3e'], '/etc/selinux/targeted/contexts/files/file_contexts.homedirs': ['d7c4747704e9021ec2e16c7139fedfd9'], '/etc/selinux/targeted/contexts/files/media': ['3c867677892c0a15dc0b9e9811cc2c49'], '/etc/selinux/targeted/contexts/initrc_context': ['99866a62735a38b2bf839233c1a1689d'], '/etc/selinux/targeted/contexts/x_contexts': ['9dde3f5e3ddac42b9e99a4613c972b97'], '/etc/selinux/targeted/contexts/customizable_types': ['68be87281cf3d40cb2c4606cd2b1ea2b'], '/etc/selinux/targeted/contexts/users/xguest_u': ['e26010a418df86902332c57434370246'], '/etc/selinux/targeted/contexts/users/unconfined_u': ['ee88bed48d9601ff2b11f68f97d361ac'], '/etc/selinux/targeted/contexts/users/staff_u': ['f3412f7cbf441078a9de40fcaab93254'], '/etc/selinux/targeted/contexts/users/root': ['328e08341d1ff9296573dd43c355e283'], '/etc/selinux/targeted/contexts/users/user_u': ['2fe911f440282fda0590cd99540da579'], '/etc/selinux/targeted/contexts/users/guest_u': ['61e7e7e7403b2eac30e312342e66e4cd'], '/etc/selinux/targeted/contexts/default_contexts': ['0888c75fc814058bb3c01ef58f7a1f47'], '/etc/selinux/targeted/policy/policy.24': ['5398a60f820803049b5bb7d90dd6196b'], '/etc/selinux/targeted/setrans.conf': ['ae70362b6fa2af117bd6e293ce232069'], '/etc/selinux/targeted/seusers': ['fdf1cdf1d373e4583ca759617a1d2af3'], '/etc/selinux/config': ['91081ef6d958e79795d0255d7c374a56'], '/etc/selinux/restorecond_user.conf': ['4e1b5b5e38c660f87d5a4f7d3a998c29'], '/etc/selinux/semanage.conf': ['f33b524aef1a4df2a3d0eecdda041a5c'], '/etc/sgml/xml-core.cat': ['bcd454c9bf55a3816a134f9766f5928f'], '/etc/shells': ['0e85c87e09d716ecb03624ccff511760'], '/etc/ssh/sshd_config': ['e24f749808133a27d94fda84a89bb27b', '8caefdd9e251b7cc1baa37874149a870', '874fafed9e745b14e5fa8ae71b82427d'], '/etc/sudoers': ['02f74ccbec48997f402a063a172abb48'], '/etc/ufw/after.rules': ['/usr/share/ufw/after.rules'], '/etc/ufw/after6.rules': ['/usr/share/ufw/after6.rules'], '/etc/ufw/before.rules': ['/usr/share/ufw/before.rules'], '/etc/ufw/before6.rules': ['/usr/share/ufw/before6.rules'], '/etc/ufw/ufw.conf': ['/usr/share/ufw/ufw.conf']} for pathname, overrides in MD5SUMS.iteritems(): for i in range(len(overrides)): if '/' != overrides[i][0]: continue try: overrides[i] = hashlib.md5(open(overrides[i]).read()).hexdigest() except IOError: pass def files(b, r): logging.info('searching for configuration files') # Visit every file in `/etc` except those on the exclusion list above. for dirpath, dirnames, filenames in os.walk('/etc'): # Determine if this entire directory should be ignored by default. ignored = r.ignore_file(dirpath) # Collect up the full pathname to each file, `lstat` them all, and # note which ones will probably be ignored. files = [] for filename in filenames: pathname = os.path.join(dirpath, filename) try: files.append((pathname, os.lstat(pathname), r.ignore_file(pathname, ignored))) except OSError as e: logging.warning('{0} caused {1} - try running as root'. format(pathname, errno.errorcode[e.errno])) # Track the ctime of each file in this directory. Weed out false # positives by ignoring files with common ctimes. ctimes = defaultdict(lambda: 0) # Map the ctimes of each directory entry that isn't being ignored. for pathname, s, ignored in files: if not ignored: ctimes[s.st_ctime] += 1 for dirname in dirnames: try: ctimes[os.lstat(os.path.join(dirpath, dirname)).st_ctime] += 1 except OSError: pass for pathname, s, ignored in files: # Always ignore block special files, character special files, # pipes, and sockets. They end up looking like deadlocks. if stat.S_ISBLK(s.st_mode) \ or stat.S_ISCHR(s.st_mode) \ or stat.S_ISFIFO(s.st_mode) \ or stat.S_ISSOCK(s.st_mode): continue # Make sure this pathname will actually be able to be included # in the blueprint. This is a bit of a cop-out since the file # could be important but at least it's not a crashing bug. try: pathname = unicode(pathname) except UnicodeDecodeError: logging.warning('{0} not UTF-8 - skipping it'. format(repr(pathname)[1:-1])) continue # Ignore ignored files and files that share their ctime with other # files in the directory. This is a very strong indication that # the file is original to the system and should be ignored. if ignored \ or 1 < ctimes[s.st_ctime] and r.ignore_file(pathname, True): continue # Check for a Mustache template and an optional shell script # that templatize this file. try: template = open( '{0}.blueprint-template.mustache'.format(pathname)).read() except IOError: template = None try: data = open( '{0}.blueprint-template.sh'.format(pathname)).read() except IOError: data = None # The content is used even for symbolic links to determine whether # it has changed from the packaged version. try: content = open(pathname).read() except IOError: #logging.warning('{0} not readable'.format(pathname)) continue # Ignore files that are unchanged from their packaged version. if _unchanged(pathname, content, r): continue # Resolve the rest of the file's metadata from the # `/etc/passwd` and `/etc/group` databases. try: pw = pwd.getpwuid(s.st_uid) owner = pw.pw_name except KeyError: owner = s.st_uid try: gr = grp.getgrgid(s.st_gid) group = gr.gr_name except KeyError: group = s.st_gid mode = '{0:o}'.format(s.st_mode) # A symbolic link's content is the link target. if stat.S_ISLNK(s.st_mode): content = os.readlink(pathname) # Ignore symbolic links providing backwards compatibility # between SystemV init and Upstart. if '/lib/init/upstart-job' == content: continue # Ignore symbolic links into the Debian alternatives system. # These are almost certainly managed by packages. if content.startswith('/etc/alternatives/'): continue b.add_file(pathname, content=content, encoding='plain', group=group, mode=mode, owner=owner) # A regular file is stored as plain text only if it is valid # UTF-8, which is required for JSON serialization. else: kwargs = dict(group=group, mode=mode, owner=owner) try: if template: if data: kwargs['data'] = data.decode('utf_8') kwargs['template'] = template.decode('utf_8') else: kwargs['content'] = content.decode('utf_8') kwargs['encoding'] = 'plain' except UnicodeDecodeError: if template: if data: kwargs['data'] = base64.b64encode(data) kwargs['template'] = base64.b64encode(template) else: kwargs['content'] = base64.b64encode(content) kwargs['encoding'] = 'base64' b.add_file(pathname, **kwargs) # If this file is a service init script or config , create a # service resource. try: manager, service = util.parse_service(pathname) if not r.ignore_service(manager, service): b.add_service(manager, service) b.add_service_package(manager, service, 'apt', *_dpkg_query_S(pathname)) b.add_service_package(manager, service, 'yum', *_rpm_qf(pathname)) except ValueError: pass def _dpkg_query_S(pathname): """ Return a list of package names that contain `pathname` or `[]`. This really can be a list thanks to `dpkg-divert`(1). """ # Cache the pathname-to-package mapping. if not hasattr(_dpkg_query_S, '_cache'): _dpkg_query_S._cache = defaultdict(set) cache_ref = _dpkg_query_S._cache for listname in glob.iglob('/var/lib/dpkg/info/*.list'): package = os.path.splitext(os.path.basename(listname))[0] for line in open(listname): cache_ref[line.rstrip()].add(package) # Return the list of packages that contain this file, if any. if pathname in _dpkg_query_S._cache: return list(_dpkg_query_S._cache[pathname]) # If `pathname` isn't in a package but is a symbolic link, see if the # symbolic link is in a package. `postinst` programs commonly display # this pattern. try: return _dpkg_query_S(os.readlink(pathname)) except OSError: pass return [] def _dpkg_md5sum(package, pathname): """ Find the MD5 sum of the packaged version of pathname or `None` if the `pathname` does not come from a Debian package. """ # Cache any MD5 sums stored in the status file. These are typically # conffiles and the like. if not hasattr(_dpkg_md5sum, '_status_cache'): _dpkg_md5sum._status_cache = {} cache_ref = _dpkg_md5sum._status_cache try: pattern = re.compile(r'^ (\S+) ([0-9a-f]{32})') for line in open('/var/lib/dpkg/status'): match = pattern.match(line) if not match: continue cache_ref[match.group(1)] = match.group(2) except IOError: pass # Return this file's MD5 sum, if it can be found. try: return _dpkg_md5sum._status_cache[pathname] except KeyError: pass # Cache the MD5 sums for files in this package. if not hasattr(_dpkg_md5sum, '_cache'): _dpkg_md5sum._cache = defaultdict(dict) if package not in _dpkg_md5sum._cache: cache_ref = _dpkg_md5sum._cache[package] try: for line in open('/var/lib/dpkg/info/{0}.md5sums'.format(package)): md5sum, rel_pathname = line.split(None, 1) cache_ref['/{0}'.format(rel_pathname.rstrip())] = md5sum except IOError: pass # Return this file's MD5 sum, if it can be found. try: return _dpkg_md5sum._cache[package][pathname] except KeyError: pass return None def _rpm_qf(pathname): """ Return a list of package names that contain `pathname` or `[]`. RPM might not actually support a single pathname being claimed by more than one package but `dpkg` does so the interface is maintained. """ try: p = subprocess.Popen(['rpm', '--qf=%{NAME}', '-qf', pathname], close_fds=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) except OSError: return [] stdout, stderr = p.communicate() if 0 != p.returncode: return [] return [stdout] def _rpm_md5sum(pathname): """ Find the MD5 sum of the packaged version of pathname or `None` if the `pathname` does not come from an RPM. """ if not hasattr(_rpm_md5sum, '_cache'): _rpm_md5sum._cache = {} symlinks = [] try: p = subprocess.Popen(['rpm', '-qa', '--dump'], close_fds=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) pattern = re.compile(r'^(/etc/\S+) \d+ \d+ ([0-9a-f]+) ' # No , '(0\d+) \S+ \S+ \d \d \d (\S+)$') for line in p.stdout: match = pattern.match(line) if match is None: continue if '0120777' == match.group(3): symlinks.append((match.group(1), match.group(4))) else: _rpm_md5sum._cache[match.group(1)] = match.group(2) # Find the MD5 sum of the targets of any symbolic links, even # if the target is outside of /etc. pattern = re.compile(r'^(/\S+) \d+ \d+ ([0-9a-f]+) ' # No , '(0\d+) \S+ \S+ \d \d \d (\S+)$') for pathname, target in symlinks: if '/' != target[0]: target = os.path.normpath(os.path.join( os.path.dirname(pathname), target)) if target in _rpm_md5sum._cache: _rpm_md5sum._cache[pathname] = _rpm_md5sum._cache[target] else: p = subprocess.Popen(['rpm', '-qf', '--dump', target], close_fds=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) for line in p.stdout: match = pattern.match(line) if match is not None and target == match.group(1): _rpm_md5sum._cache[pathname] = match.group(2) except OSError: pass return _rpm_md5sum._cache.get(pathname, None) def _unchanged(pathname, content, r): """ Return `True` if a file is unchanged from its packaged version. """ # Ignore files that are from the `base-files` package (which # doesn't include MD5 sums for every file for some reason). apt_packages = _dpkg_query_S(pathname) if 'base-files' in apt_packages: return True # Ignore files that are unchanged from their packaged version, # or match in MD5SUMS. md5sums = MD5SUMS.get(pathname, []) md5sums.extend([_dpkg_md5sum(package, pathname) for package in apt_packages]) md5sum = _rpm_md5sum(pathname) if md5sum is not None: md5sums.append(md5sum) if (hashlib.md5(content).hexdigest() in md5sums \ or 64 in [len(md5sum or '') for md5sum in md5sums] \ and hashlib.sha256(content).hexdigest() in md5sums) \ and r.ignore_file(pathname, True): return True return False

51.860082

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0.607047

4,253

50,408

7.151893

0.232542

0.086794

0.153861

0.193149

0.383536

0.344906

0.038926

0.026531

0.018049

0

0.170259

0.272

50,408

971

80

51.913491

0.65861

0.070029

0

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0.015458

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0

null

0

1

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1

null

0

2

5bc9e6c226f00a75b8cdcda4f0faf8b1dc74f397

429

py

Python

quickforex/providers/__init__.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

quickforex/providers/__init__.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

quickforex/providers/__init__.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

from quickforex.providers.base import ProviderBase from quickforex.providers.provider_metadata import ( ProviderMetadata, SettingFieldDescription, ) from quickforex.providers.exchangerate_host import ExchangeRateHostProvider from quickforex.providers.dummy import DummyProvider __all__ = [ "ProviderBase", "ExchangeRateHostProvider", "DummyProvider", "ProviderMetadata", "SettingFieldDescription", ]

26.8125

75

0.797203

33

429

10.181818

0.484848

0.166667

0.27381

0

0.132867

429

15

76

28.6

0.903226

0

0.205128

0.109557

0

1

0

false

0

0.285714

0

0.285714

0

1

null

0

1

0

null

0

2

5bd0173040b2f2d05f3a1e8d1fe723aa238abeb6

421

py

Python

Windows10_structed_data/get_report_data.py

naporium/tools_for_windows-main

4be11a033b5b5ee39c1d4af2e2013e7c5b144772

[ "MIT" ]

null

Windows10_structed_data/get_report_data.py

naporium/tools_for_windows-main

4be11a033b5b5ee39c1d4af2e2013e7c5b144772

[ "MIT" ]

null

Windows10_structed_data/get_report_data.py

naporium/tools_for_windows-main

4be11a033b5b5ee39c1d4af2e2013e7c5b144772

[ "MIT" ]

null

from json import load, dumps REPORT_FILE = "report.txt" with open(REPORT_FILE, "r") as file: data = load(file) # EXAMPLE ON ACESSING THE JSON DATA REPORT print(dumps(data["INTERFACES_INFO"]["Ethernet adapter Ethernet"], indent=4)) print(dumps(data["INTERFACES_INFO"]["Ethernet adapter Ethernet"]["IPv4 Address"])) print(dumps(data["INTERFACES_INFO"]["Ethernet adapter Ethernet"]["Physical Address"]))

38.272727

87

0.72209

56

421

5.339286

0.482143

0.100334

0.140468

0.240803

0.511706

0

0.005479

0.133017

421

10

88

42.1

0.813699

0.095012

0

0.430894

0

1

0

false

0

0.142857

0

0.142857

0.428571

0

null

0

1

0

null

0

1

0

2

5bd463296b1effec64cbf25d42163fc58e8ce63e

259

py

Python

setup.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

setup.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

setup.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

""" Install moldriver """ from distutils.core import setup setup(name="moldr", version="0.1.1", packages=["moldr", "autofile", "autofile.info", "autofile.file", "autofile.system"])

19.923077

35

0.490347

23

259

5.521739

0.73913

0

0.018072

0.359073

259

12

36

21.583333

0.746988

0.065637

0

0.273504

0

1

0

true

0

0.125

0

0.125

0

1

0

null

0

null

0

1

0

2

5bed867c2db74e773ad7534adb7486f3bfecb2cd

707

py

Python

calculator/calculator.py

swilltec/calculator

3c5e076a996e53117ba19ef438369cfe8753a3cc

[ "MIT" ]

null

calculator/calculator.py

swilltec/calculator

3c5e076a996e53117ba19ef438369cfe8753a3cc

[ "MIT" ]

null

calculator/calculator.py

swilltec/calculator

3c5e076a996e53117ba19ef438369cfe8753a3cc

[ "MIT" ]

null

"""Main module.""" from functools import reduce class Calc: def add(self, *args): return sum(args) def subtract(self, a, b): return a - b def multiply(self, *args): if not all(args): raise ValueError return reduce(lambda x, y: x*y, args) def divide(self, a, b): try: return a / b except: return "inf" def avg(self, args, ut=None, lt=None): _args = args[:] if ut: _args = [x for x in _args if x <= ut] if lt: _args = [x for x in _args if x >= lt] if not len(_args): return 0 return sum(_args)/len(_args)

18.128205

49

0.478076

96

707

3.4375

0.395833

0.024242

0.078788

0.054545

0.109091

0

0.00241

0.413013

707

38

50

18.605263

0.792771

0.016973

0

0.004354

0

1

0.208333

false

0

0.041667

0.083333

0.583333

0

null

0

null

0

1

0

1

0

2

5bf631e50626c44c993a9984bac16fda807b9125

596

py

Python

fullcontact/schema/company_schema.py

michaelcredera/fullcontact-python-client

482970b00b134409e6c9f303e7c2a7a6fc4a4685

[ "Apache-2.0" ]

8

2020-04-13T15:53:43.000Z

2022-02-04T07:37:17.000Z

fullcontact/schema/company_schema.py

michaelcredera/fullcontact-python-client

482970b00b134409e6c9f303e7c2a7a6fc4a4685

[ "Apache-2.0" ]

9

2020-06-04T15:30:50.000Z

2022-02-04T07:36:39.000Z

fullcontact/schema/company_schema.py

michaelcredera/fullcontact-python-client

482970b00b134409e6c9f303e7c2a7a6fc4a4685

[ "Apache-2.0" ]

7

2020-09-18T16:02:43.000Z

2022-02-17T09:22:54.000Z

# -*- coding: utf-8 -*- """ This module serves the class for validating FullContact Company Enrich and Search API requests. """ from .base.schema_base import BaseRequestSchema class CompanyEnrichRequestSchema(BaseRequestSchema): schema_name = "Company Enrich" domain: str webhookUrl: str required_fields = ("domain",) class CompanySearchRequestSchema(BaseRequestSchema): schema_name = "Company Search" companyName: str sort: str location: str locality: str region: str country: str webhookUrl: str required_fields = ("companyName",)

18.625

52

0.706376

61

596

6.819672

0.590164

0.0625

0.129808

0.163462

0.144231

0

0.002119

0.208054

596

31

53

19.225806

0.879237

0.199664

0

0.125

0

0.095949

0

1

0

false

0

0.0625

0

1

0

null

0

1

0

null

0

1

0

2

75079e3853a4f1c859f848cdaeaff5686ff6bb5e

934

py

Python

setup.py

sfable/malias

6a5f6dc17eb42b6579e7981696427cf9deae56fb

[ "MIT" ]

null

setup.py

sfable/malias

6a5f6dc17eb42b6579e7981696427cf9deae56fb

[ "MIT" ]

null

setup.py

sfable/malias

6a5f6dc17eb42b6579e7981696427cf9deae56fb

[ "MIT" ]

null

from setuptools import setup, find_packages from malias import __version__ setup( name = "malias", version = __version__, author = 'Stuart Fable', author_email = 'stuart.fable@gmail.com', license = 'MIT', keywords = 'malias system alias', description = '', url = 'https://github.com/sfable/malias', download_url = 'https://github.com/sfable/malias/archive/master.zip', packages = find_packages(), install_requires = ['docopt'], zip_safe = True, entry_points = { 'console_scripts': ['malias=malias.cli:main'] }, classifiers = [ 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4' ] )

30.129032

73

0.611349

96

934

5.78125

0.583333

0.136937

0.18018

0.140541

0.201802

0.104505

0

0.01138

0.247323

934

30

74

31.133333

0.778094

0

0.464668

0.047109

0

1

0

true

0

0.071429

0

0.071429

0

null

0

1

0

null

0

1

0

2

750918e8872a1b7a4b9376e1b5490cc0edf34be0

210

py

Python

hjhj.py

jatinchaudhary/python_dump

5f7d63237fcb96a66bc3c4151599c7849f0f2735

[ "bzip2-1.0.6" ]

null

hjhj.py

jatinchaudhary/python_dump

5f7d63237fcb96a66bc3c4151599c7849f0f2735

[ "bzip2-1.0.6" ]

null

hjhj.py

jatinchaudhary/python_dump

5f7d63237fcb96a66bc3c4151599c7849f0f2735

[ "bzip2-1.0.6" ]

null

a=int(input()) b=int(input()) c=int(input()) if(a>b and a>c): print("number 1 is greatest") elif(b>a and b>c): print("number 2 is greatest") else: print("number 3 is greatest")

15

34

0.557143

37

210

3.162162

0.432432

0.205128

0

0.019355

0.261905

210

13

35

16.153846

0.735484

0

0.304569

0

1

0

false

0

0.333333

0

null

1

0

null

0

2

750a3aa09148f31ca78defa66da3c665dedc7552

695

py

Python

Python with functions/W11-12/week 12/Activities/fruit.py

marcosamos/Python-tasks-and-proyects

00426323647639016a407c40af1fd00f35ea2229

[ "MIT" ]

null

Python with functions/W11-12/week 12/Activities/fruit.py

marcosamos/Python-tasks-and-proyects

00426323647639016a407c40af1fd00f35ea2229

[ "MIT" ]

null

Python with functions/W11-12/week 12/Activities/fruit.py

marcosamos/Python-tasks-and-proyects

00426323647639016a407c40af1fd00f35ea2229

[ "MIT" ]

null

def main(): # Create and print a list named fruit. fruit_list = ["pear", "banana", "apple", "mango"] print(f"original: {fruit_list}") fruit_list.reverse() print(f"Reverse {fruit_list}") fruit_list.append("Orange") print(f"Append Orange {fruit_list}") pos = fruit_list.index("apple") fruit_list.insert(pos, "cherry") print(f"insert cherry: {fruit_list}") fruit_list.remove("banana") print(f"Remove Banana: {fruit_list}") last = fruit_list.pop() print(f"pop {last}: {fruit_list}") fruit_list.sort() print(f"Sorted: {fruit_list}") fruit_list.clear() print(f"cleared: {fruit_list}") if __name__ == "__main__": main()

24.821429

53

0.635971

94

695

4.43617

0.329787

0.366906

0.167866

0.215827

0

0.195683

695

28

54

24.821429

0.745975

0.051799

0

0.361702

0

1

0.05

false

0

0.05

0.4

0

null

1

0

1

0

null

0

2

75226d063cbc9f7c130c7e84b92141262adc03ae

293

py

Python

prepoint/__init__.py

edose/prepoint

1239ea3962cc33c4d640bb4ba8b1b00e032b74d4

[ "MIT" ]

null

prepoint/__init__.py

edose/prepoint

1239ea3962cc33c4d640bb4ba8b1b00e032b74d4

[ "MIT" ]

null

prepoint/__init__.py

edose/prepoint

1239ea3962cc33c4d640bb4ba8b1b00e032b74d4

[ "MIT" ]

null

__author__ = "Eric Dose :: New Mexico Mira Project, Albuquerque" # PyInstaller (__init__.py file should be in place as peer to .py file to run): # in Windows Command Prompt (E. Dose dev PC): # cd c:\Dev\prepoint\prepoint # C:\Programs\Miniconda\Scripts\pyinstaller app.spec

36.625

79

0.699659

43

293

4.581395

0.790698

0.060914

0

0.201365

293

7

80

41.857143

0.84188

0.740614

0

0.7

0

1

0

false

0

null

0

1

0

1

0

null

0

2

7523e5848177e8777c98952e7fd199b4781b9cbb

1,329

py

Python

setup.py

merwok-forks/shortuuid

4da632a986c3a43f75c7df64f27a90bbf7ff8039

[ "BSD-3-Clause" ]

null

setup.py

merwok-forks/shortuuid

4da632a986c3a43f75c7df64f27a90bbf7ff8039

[ "BSD-3-Clause" ]

null

setup.py

merwok-forks/shortuuid

4da632a986c3a43f75c7df64f27a90bbf7ff8039

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import sys from setuptools import setup from shortuuid import __version__ assert sys.version >= "2.5", "Requires Python v2.5 or above." classifiers = [ "License :: OSI Approved :: BSD License", "Programming Language :: Python", "Programming Language :: Python :: 2.5", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Software Development :: Libraries :: Python Modules", ] setup( name="shortuuid", version=__version__, author="Stochastic Technologies", author_email="info@stochastictechnologies.com", url="https://github.com/stochastic-technologies/shortuuid/", description="A generator library for concise, " "unambiguous and URL-safe UUIDs.", long_description="A library that generates short, pretty, " "unambiguous unique IDs " "by using an extensive, case-sensitive alphabet and omitting " "similar-looking letters and numbers.", license="BSD", classifiers=classifiers, packages=["shortuuid"], test_suite="shortuuid.tests", tests_require=[], )

31.642857

86

0.676448

148

1,329

5.993243

0.533784

0.192785

0.253664

0.146561

0

0.018536

0.188111

1,329

41

87

32.414634

0.803522

0.015049

0

0.629205

0.0237

0

0.029412

1

0

false

0

0.088235

0

0.088235

0

null

0

1

0

1

0

null

0

2

7537d9ff6f54603cb0471062e3b58878836382b5

4,362

py

Python

moe/optimal_learning/python/interfaces/domain_interface.py

misokg/Cornell-MOE

1547d6b168b7fc70857d522baa0d5d45c41d3cdf

[ "Apache-2.0" ]

218

2017-10-14T03:54:00.000Z

2022-03-25T14:48:38.000Z

moe/optimal_learning/python/interfaces/domain_interface.py

Tracy3370/Cornell-MOE

df299d1be882d2af9796d7a68b3f9505cac7a53e

[ "Apache-2.0" ]

45

2017-09-27T14:33:31.000Z

2020-12-16T09:32:50.000Z

moe/optimal_learning/python/interfaces/domain_interface.py

Tracy3370/Cornell-MOE

df299d1be882d2af9796d7a68b3f9505cac7a53e

[ "Apache-2.0" ]

63

2017-09-25T14:23:57.000Z

2022-03-17T01:41:42.000Z

# -*- coding: utf-8 -*- """Interface for a domain: in/out test, random point generation, and update limiting (for constrained optimization).""" from builtins import object from abc import ABCMeta, abstractmethod, abstractproperty from future.utils import with_metaclass class DomainInterface(with_metaclass(ABCMeta, object)): """Interface for a domain: in/out test, random point generation, and update limiting (for constrained optimization).""" @abstractproperty def dim(self): """Return the number of spatial dimensions.""" pass @abstractmethod def check_point_inside(self, point): r"""Check if a point is inside the domain/on its boundary or outside. :param point: point to check :type point: array of float64 with shape (dim) :return: true if point is inside the domain :rtype: bool """ pass @abstractmethod def get_bounding_box(self): """Return a list of ClosedIntervals representing a bounding box for this domain.""" pass @abstractmethod def get_constraint_list(self): """Return a list of lambda functions expressing the domain bounds as linear constraints. Used by COBYLA. :return: a list of lambda functions corresponding to constraints :rtype: array of lambda functions with shape (dim * 2) """ pass @abstractmethod def generate_random_point_in_domain(self, random_source=None): """Generate ``point`` uniformly at random such that ``self.check_point_inside(point)`` is True. .. Note:: if you need multiple points, use generate_uniform_random_points_in_domain instead; depending on implementation, it may ield better distributions over many points. For example, tensor product type domains use latin hypercube sampling instead of repeated random draws which guarantees that no non-uniform clusters may arise (in subspaces) versus this method which treats all draws independently. :return: point in domain :rtype: array of float64 with shape (dim) """ pass @abstractmethod def generate_uniform_random_points_in_domain(self, num_points, random_source): r"""Generate AT MOST ``num_points`` uniformly distributed points from the domain. .. NOTE:: The number of points returned may be LESS THAN ``num_points``! Implementations may use rejection sampling. In such cases, generating the requested number of points may be unreasonably slow, so implementers are allowed to generate fewer than ``num_points`` results. :param num_points: max number of points to generate :type num_points: int >= 0 :param random_source: :type random_source: callable yielding uniform random numbers in [0,1] :return: uniform random sampling of points from the domain; may be fewer than ``num_points``! :rtype: array of float64 with shape (num_points_generated, dim) """ pass @abstractmethod def compute_update_restricted_to_domain(self, max_relative_change, current_point, update_vector): r"""Compute a new update so that CheckPointInside(``current_point`` + ``new_update``) is true. Changes new_update_vector so that: ``point_new = point + new_update_vector`` has coordinates such that ``CheckPointInside(point_new)`` returns true. ``new_update_vector`` is a function of ``update_vector``. ``new_update_vector`` is just a copy of ``update_vector`` if ``current_point`` is already inside the domain. .. NOTE:: We modify update_vector (instead of returning point_new) so that further update limiting/testing may be performed. :param max_relative_change: max change allowed per update (as a relative fraction of current distance to boundary) :type max_relative_change: float64 in (0, 1] :param current_point: starting point :type current_point: array of float64 with shape (dim) :param update_vector: proposed update :type update_vector: array of float64 with shape (dim) :return: new update so that the final point remains inside the domain :rtype: array of float64 with shape (dim) """ pass

40.388889

123

0.684319

559

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7540ff40645b92068ec7fcaab55701834909aa30

672

py

Python

scripts/make_agg_intervals.py

mitchute/Open-GHX

7a88872c36200c620cfd07994119cfb243a998c9

[ "MIT" ]

4

2017-10-09T21:08:44.000Z

2020-11-18T11:09:56.000Z

scripts/make_agg_intervals.py

mitchute/Open-GHX

7a88872c36200c620cfd07994119cfb243a998c9

[ "MIT" ]

1

2017-08-18T01:44:13.000Z

2017-08-18T02:23:21.000Z

scripts/make_agg_intervals.py

mitchute/Open-GHX

7a88872c36200c620cfd07994119cfb243a998c9

[ "MIT" ]

3

2016-09-08T14:57:21.000Z

2021-06-29T08:42:08.000Z

def make_interval(depth, depth_integer_multiplier, num, step_num, start_val): all_groups_str = "[\n" for n in range(num): all_groups_str += "\t[" for d in range(depth): val = str(start_val * pow(depth_integer_multiplier, d)) if d == depth - 1: if n == num - 1: all_groups_str += "%s]\n" % val else: all_groups_str += "%s],\n" % val else: all_groups_str += "%s, " % val start_val += step_num all_groups_str += "]\n" return all_groups_str print(make_interval(12, 2, 10, 10, 10))

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754420bf10ce818718b6b91f9f308e99e3df1a1e

423

py

Python

RecoPPS/Local/python/ctppsDiamondLocalReconstruction_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

RecoPPS/Local/python/ctppsDiamondLocalReconstruction_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

RecoPPS/Local/python/ctppsDiamondLocalReconstruction_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms # reco hit production from RecoPPS.Local.ctppsDiamondRecHits_cfi import ctppsDiamondRecHits # local track fitting from RecoPPS.Local.ctppsDiamondLocalTracks_cfi import ctppsDiamondLocalTracks ctppsDiamondLocalReconstructionTask = cms.Task( ctppsDiamondRecHits, ctppsDiamondLocalTracks ) ctppsDiamondLocalReconstruction = cms.Sequence(ctppsDiamondLocalReconstructionTask)

30.214286

83

0.865248

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423

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0.6

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84

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0

null

0

1

0

2

f32c53cc845f82e4bd29dd3cc7b2266b7a8d4e51

73

py

Python

GoogleColab/InteligenciaAnalitica/Ex5/trainbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

2

2021-02-06T21:48:24.000Z

2022-03-21T00:16:17.000Z

GoogleColab/InteligenciaAnalitica/Ex5/trainbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

null

GoogleColab/InteligenciaAnalitica/Ex5/trainbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

1

2022-02-10T20:59:23.000Z

dataset = pd.read_csv('Corona_NLP_train.csv',encoding='iso8859') dataset

24.333333

64

0.794521

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73

5

0.818182

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36.5

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null

0

1

0

null

0

2

f344faaed6efdb55380a728e18b9884b9e5e2388

639

py

Python

cisco_umbrella_enforcement/setup.py

xhennessy-r7/insightconnect-plugins

59268051313d67735b5dd3a30222eccb92aca8e9

[ "MIT" ]

null

cisco_umbrella_enforcement/setup.py

xhennessy-r7/insightconnect-plugins

59268051313d67735b5dd3a30222eccb92aca8e9

[ "MIT" ]

null

cisco_umbrella_enforcement/setup.py

xhennessy-r7/insightconnect-plugins

59268051313d67735b5dd3a30222eccb92aca8e9

[ "MIT" ]

null

# GENERATED BY KOMAND SDK - DO NOT EDIT from setuptools import setup, find_packages setup(name='cisco_umbrella_enforcement-rapid7-plugin', version='1.0.0', description='Cisco Umbrella Enforcement give technology partners the ability to send security events from their platform/service/appliance within a customer environment to the Cisco security cloud for enforcement', author='rapid7', author_email='', url='', packages=find_packages(), install_requires=['komand'], # Add third-party dependencies to requirements.txt, not here! scripts=['bin/komand_cisco_umbrella_enforcement'] )

42.6

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639

5.822785

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0.156522

0

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639

14

221

45.642857

0.866667

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null

0

1

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null

0

1

0

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f34959f0169dcb486cb4bef10086593c4a815fed

628

py

Python

auth0login/migrations/0001_initial.py

nkawa/vimeo-coursetool

729215fe23b1bf05918a38d21e585a7b8862e75a

[ "Apache-2.0" ]

null

auth0login/migrations/0001_initial.py

nkawa/vimeo-coursetool

729215fe23b1bf05918a38d21e585a7b8862e75a

[ "Apache-2.0" ]

null

auth0login/migrations/0001_initial.py

nkawa/vimeo-coursetool

729215fe23b1bf05918a38d21e585a7b8862e75a

[ "Apache-2.0" ]

null

# Generated by Django 3.2.8 on 2021-10-10 14:32 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Ticket', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ticketName', models.CharField(max_length=40)), ('ticketGroup', models.CharField(max_length=20)), ('ticketKeyword', models.CharField(max_length=20)), ], ), ]

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628

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0

null

0

1

0

1

0

null

0

2

f351c677fbd55b35040364f1c638b44dd7ef0b32

1,291

py

Python

watchmate_v2.0.1/app/models.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

watchmate_v2.0.1/app/models.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

watchmate_v2.0.1/app/models.py

rroy11705/Rest_API_With_Django

6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60

[ "CNRI-Python" ]

null

from django.db import models from django.core.validators import MinValueValidator, MaxValueValidator from django.contrib.auth.models import User class StreamPlatform(models.Model): name = models.CharField(max_length=64) about = models.TextField(max_length=512) website = models.URLField(max_length=128) def __str__(self): return self.name class WatchList(models.Model): title = models.CharField(max_length=256) storyline = models.TextField(max_length=2048) platforms = models.ManyToManyField(StreamPlatform, related_name="watchlist") active = models.BooleanField(default=True) created = models.DateTimeField(auto_now_add=True) def __str__(self): return self.title class Review(models.Model): reviewer = models.ForeignKey(User, on_delete=models.CASCADE) rating = models.PositiveIntegerField( validators=[MinValueValidator(1), MaxValueValidator(5)]) description = models.CharField(max_length=256, null=True) watchlist = models.ForeignKey(WatchList, on_delete=models.CASCADE, related_name="reviews") active = models.BooleanField(default=True) created = models.DateTimeField(auto_now_add=True) update = models.DateTimeField(auto_now=True) def __str__(self): return str(self.rating)

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0

null

0

null

0

1

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2

f3539262cba46ff60c76205e56634f13ca25de23

190

py

Python

Python 201/enumeration.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

3

2021-07-09T01:24:20.000Z

2022-03-24T06:30:19.000Z

Python 201/enumeration.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

null

Python 201/enumeration.py

PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework

402b35d4739ed91e50d6c3380cab6f085a46c52b

[ "MIT" ]

3

2021-07-01T21:52:53.000Z

2021-09-02T08:54:23.000Z

animals = ["Gully", "Rhubarb", "Zephyr", "Henry"] for index, animal in enumerate(animals): # if index % 2 == 0: # continue # print(animal) print(f"{index+1}.\t{animal}")

27.142857

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0.75

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0.020408

0.226316

190

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0.333333

1

0

null

0

1

0

null

0

2

f363d12a0b564c0f2c4645099bd660201af5ca16

4,428

py

Python

clac_line_index.py

shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis

fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc

[ "Apache-2.0" ]

null

clac_line_index.py

shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis

fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc

[ "Apache-2.0" ]

null

clac_line_index.py

shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis

fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc

[ "Apache-2.0" ]

null

import numpy as np import matplotlib.pyplot as plt class LineIndex: def __init__(self): self.elements = [(4143.375, 4178.375, 4081.375, 4118.875, 4245.375, 4285.375), (4143.375, 4178.375, 4085.125, 4097.625, 4245.375, 4285.375), (4223.500, 4236.000, 4212.250, 4221.000, 4242.250, 4252.250), (4282.625, 4317.625, 4267.625, 4283.875, 4320.125, 4333.375), (4370.375, 4421.625, 4360.375, 4371.625, 4444.125, 4456.625), (4453.375, 4475.875, 4447.125, 4455.875, 4478.375, 4493.375), (4515.500, 4560.500, 4505.500, 4515.500, 4561.750, 4580.500), (4635.250, 4721.500, 4612.750, 4631.500, 4744.000, 4757.750), (4848.875, 4877.625, 4828.875, 4848.875, 4877.625, 4892.625), (4979.000, 5055.250, 4947.750, 4979.000, 5055.250, 5066.500), (5070.375, 5135.375, 4896.375, 4958.875, 5302.375, 5367.375), (5155.375, 5197.875, 4896.375, 4958.875, 5302.375, 5367.375), (5161.375, 5193.875, 5143.875, 5162.625, 5192.625, 5207.625), (5247.375, 5287.375, 5234.875, 5249.875, 5287.375, 5319.875), (5314.125, 5354.125, 5306.625, 5317.875, 5355.375, 5365.375), (5390.250, 5417.750, 5379.000, 5390.250, 5417.750, 5427.750), (5698.375, 5722.125, 5674.625, 5698.375, 5724.625, 5738.375), (5778.375, 5798.375, 5767.125, 5777.125, 5799.625, 5813.375), (5878.625, 5911.125, 5862.375, 5877.375, 5923.875, 5949.875), (5938.875, 5995.875, 5818.375, 5850.875, 6040.375, 6105.375), (6191.375, 6273.875, 6068.375, 6143.375, 6374.375, 6416.875),] def calc(self, flux, wave): """ 计算一条光谱的线指数 :param flux: 光谱的流量向量 :param wave: 光谱的波长向量 :return: 线指数 """ line_index = [] for num, i in enumerate(self.elements): print(num) # 求每一个元素的线指数 # 找出中心波段、蓝端、红端的波段和流量 center_band, center_flux = wave[(wave >= i[0]) & (wave <= i[1])], flux[(wave >= i[0]) & (wave <= i[1])] left_band, left_flux = wave[(wave >= i[2]) & (wave <= i[3])], flux[(wave >= i[2]) & (wave <= i[3])] right_band, right_flux = wave[(wave >= i[4]) & (wave <= i[5])], flux[(wave >= i[4]) & (wave <= i[5])] # 计算连续谱直线,通过两个点画直线 y_left = np.trapz(left_flux, left_band) y_right = np.trapz(right_flux, right_band) x_left = np.mean(left_band) x_right = np.mean(right_band) # y = kx + b k = (y_right - y_left) / (x_right - x_left) b = y_right - k*y_right if num in (0,1,10,11,19,20): # 对部分元素，计算Mag星等，当做线指数值 Fc = k * center_band + b # 连续谱流量 Mag = -2.5*np.log2((1 / (center_band[-1]-center_band[1])) * np.trapz(center_flux/Fc, center_band)) line_index.append(Mag) else: # 对部分元素，计算equivalent width等效带宽，当做线指数值 Fc = k*center_band + b # 连续谱流量 EW = np.trapz((1-center_flux/Fc), center_band) line_index.append(EW) # 转换成np.array，并消除控制和无限值 line_index = np.array(line_index) line_index[np.isnan(line_index)] = 0 line_index[np.isinf(line_index)] = 0 return line_index def calc_and_plot(self,flux, wave): # 计算线指数，并画图看看效果，与self.calc() 函数传进传出相同 line_index = self.calc(flux, wave) center_wave = [] for i in self.elements: center_wave.append((i[0]+i[1]) / 2) plt.plot(wave, flux) plt.scatter(center_wave, line_index) plt.show() return line_index if __name__ == '__main__': from astropy.io import fits data = fits.open(r'C:\Users\panda\Desktop\spec-56591-EG012606S021203F01_sp08-138.fits') a = data[0] wave = a.data[2] # 第3行是波长 flux = a.data[0] # 第1行是光谱 model = LineIndex() line_index = model.calc_and_plot(flux, wave)

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0

1

0

1

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null

0

2

f366bab7949be48bac13c8ce7427325ee3cbe177

896

py

Python

tests/clvm/benchmark_costs.py

Flax-Network/flax-light-wallet

1745850a28a47bbbc4b5f3d460f35b34b4ed4f25

[ "Apache-2.0" ]

1

2021-12-02T14:38:11.000Z

tests/clvm/benchmark_costs.py

Flax-Network/flax-light-wallet

1745850a28a47bbbc4b5f3d460f35b34b4ed4f25

[ "Apache-2.0" ]

null

tests/clvm/benchmark_costs.py

Flax-Network/flax-light-wallet

1745850a28a47bbbc4b5f3d460f35b34b4ed4f25

[ "Apache-2.0" ]

6

2021-11-21T00:38:27.000Z

2021-12-03T01:25:19.000Z

from flaxlight.types.blockchain_format.program import INFINITE_COST from flaxlight.types.spend_bundle import SpendBundle from flaxlight.types.generator_types import BlockGenerator from flaxlight.consensus.cost_calculator import calculate_cost_of_program, NPCResult from flaxlight.consensus.default_constants import DEFAULT_CONSTANTS from flaxlight.full_node.bundle_tools import simple_solution_generator from flaxlight.full_node.mempool_check_conditions import get_name_puzzle_conditions def cost_of_spend_bundle(spend_bundle: SpendBundle) -> int: program: BlockGenerator = simple_solution_generator(spend_bundle) npc_result: NPCResult = get_name_puzzle_conditions( program, INFINITE_COST, cost_per_byte=DEFAULT_CONSTANTS.COST_PER_BYTE, safe_mode=True ) cost: int = calculate_cost_of_program(program.program, npc_result, DEFAULT_CONSTANTS.COST_PER_BYTE) return cost

52.705882

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f3884809bd62f0f776b8c21dd23802afacf22c1c

349

py

Python

EASTAR/main/templatetags/extra.py

DightMerc/EASTAR

04a3578932f8b4b842e0898513ef279c2f750f48

[ "Apache-2.0" ]

1

2020-09-21T16:46:19.000Z

EASTAR/main/templatetags/extra.py

DightMerc/EASTAR

04a3578932f8b4b842e0898513ef279c2f750f48

[ "Apache-2.0" ]

null

EASTAR/main/templatetags/extra.py

DightMerc/EASTAR

04a3578932f8b4b842e0898513ef279c2f750f48

[ "Apache-2.0" ]

null

from django import template from django.template.defaultfilters import stringfilter register = template.Library() @register.filter @stringfilter def FindPhoto(value): if "%photo%" in str(value): return True else: return False @register.filter @stringfilter def ReplacePhoto(value): return value.replace("%photo%","")

18.368421

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0.5

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null

0

2

f3896211c27faf122c9bf819667c176a83dab4ba

1,058

py

Python

influxable/db/function/transformations.py

AndyBryson/influxable

8a2f798cc5ae12b04f803afc84d7e064a3afd250

[ "MIT" ]

30

2019-07-28T12:57:21.000Z

2022-03-30T05:02:57.000Z

influxable/db/function/transformations.py

AndyBryson/influxable

8a2f798cc5ae12b04f803afc84d7e064a3afd250

[ "MIT" ]

9

2020-04-23T11:29:29.000Z

2022-02-04T09:15:16.000Z

influxable/db/function/transformations.py

AndyBryson/influxable

8a2f798cc5ae12b04f803afc84d7e064a3afd250

[ "MIT" ]

5

2021-03-23T04:05:42.000Z

2022-01-28T12:04:37.000Z

from . import _generate_function Abs = _generate_function('ABS') ACos = _generate_function('ACOS') ASin = _generate_function('ASIN') ATan = _generate_function('ATAN') ATan2 = _generate_function('ATAN2') Ceil = _generate_function('CEIL') Cos = _generate_function('COS') CumulativeSum = _generate_function('CUMULATIVE_SUM') Derivative = _generate_function('DERIVATIVE') Difference = _generate_function('DIFFERENCE') Elapsed = _generate_function('ELAPSED') Exp = _generate_function('EXP') Floor = _generate_function('FLOOR') Histogram = _generate_function('HISTOGRAM') Ln = _generate_function('LN') Log = _generate_function('LOG') Log2 = _generate_function('LOG2') Log10 = _generate_function('LOG10') MovingAverage = _generate_function('MOVING_AVERAGE') NonNegativeDerivative = _generate_function('NON_NEGATIVE_DERIVATIVE') NonNegativeDifference = _generate_function('NON_NEGATIVE_DIFFERENCE') Pow = _generate_function('POW') Round = _generate_function('ROUND') Sin = _generate_function('SIN') Sqrt = _generate_function('SQRT') Tan = _generate_function('TAN')

36.482759

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1,058

6.877193

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0.55102

0.048469

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0.008205

0.07845

1,058

28

70

37.785714

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0

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0.037037

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null

1

0

1

0

null

0

2

f396ce948df906683a7c38c39ca570318694f325

120

py

Python

config_web/uberon.py

NikkiBytes/pending.api

3c83bb8e413c3032a3a4539d19a779b5f0b67650

[ "Apache-2.0" ]

3

2019-02-17T23:36:35.000Z

2022-03-01T16:43:06.000Z

config_web/uberon.py

NikkiBytes/pending.api

3c83bb8e413c3032a3a4539d19a779b5f0b67650

[ "Apache-2.0" ]

56

2019-01-26T16:34:12.000Z

2022-03-23T06:57:03.000Z

config_web/uberon.py

NikkiBytes/pending.api

3c83bb8e413c3032a3a4539d19a779b5f0b67650

[ "Apache-2.0" ]

6

2020-10-22T17:37:54.000Z

2022-03-01T16:56:55.000Z

ES_HOST = 'localhost:9200' ES_INDEX = 'pending-uberon' ES_DOC_TYPE = 'anatomy' API_PREFIX = 'uberon' API_VERSION = ''

15

27

0.716667

17

120

4.705882

0.764706

0

0.038835

0.141667

120

7

28

17.142857

0.737864

0

0.344538

0

1

0

false

0

1

0

null

0

1

0

null

0

2

f3a26881a4ca1cefb8ab84deb4c848ac0e3245ce

285

py

Python

zip_submission.py

RapidsAtHKUST/TriangleCounting

b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1

[ "MIT" ]

null

zip_submission.py

RapidsAtHKUST/TriangleCounting

b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1

[ "MIT" ]

null

zip_submission.py

RapidsAtHKUST/TriangleCounting

b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1

[ "MIT" ]

null

import datetime import os if __name__ == '__main__': date_str = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M") print(date_str) os.system('zip -r tc-rapids-{}.zip triangle-counting technical_report.pdf -x *cmake-build-debug/* -x */CMake* -x *.idea/*'.format(date_str))

35.625

144

0.673684

44

285

4.090909

0.704545

0.116667

0

0.126316

285

7

145

40.714286

0.722892

0

0.166667

0.463158

0

1

0

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0

0.333333

0

0.333333

0.166667

0

null

0

1

0

null

0

1

0

2

f3a2c44f9a438f736d2343eb401aac7338e90dca

382

py

Python

binarysearch/loneInteger.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

1

2021-06-06T19:55:22.000Z

binarysearch/loneInteger.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

1

2022-01-20T19:20:33.000Z

2022-01-20T23:51:46.000Z

binarysearch/loneInteger.py

Ry4nW/python-wars

76e3fb24b7ae2abf35db592f1ad59cf8d5f9e508

[ "MIT" ]

null

class Solution: def solve(self, nums): integersDict = {} for i in range(len(nums)): try: integersDict[nums[i]] += 1 except: integersDict[nums[i]] = 1 for integer in integersDict: if integersDict[integer] != 3: return integer return nums[0]

19.1

42

0.455497

36

382

4.833333

0.555556

0.183908

0.195402

0.206897

0

0.019231

0.455497

382

20

43

19.1

0.817308

0

1

0.083333

false

0

0.333333

0

null

0

1

0

null

0

2

f3a82067b35984c55df054378d7da2b20c33f677

524

py

Python

projects/admin.py

BridgesLab/Lab-Website

d6f6c9c068bbf668c253e5943d9514947023e66d

[ "CC0-1.0", "MIT" ]

6

2015-08-31T16:55:16.000Z

2022-02-10T08:23:07.000Z

projects/admin.py

BridgesLab/Lab-Website

d6f6c9c068bbf668c253e5943d9514947023e66d

[ "CC0-1.0", "MIT" ]

30

2015-03-22T15:49:31.000Z

2020-05-25T23:59:37.000Z

projects/admin.py

BridgesLab/Lab-Website

d6f6c9c068bbf668c253e5943d9514947023e66d

[ "CC0-1.0", "MIT" ]

6

2016-09-07T08:25:21.000Z

2020-03-27T10:24:57.000Z

'''This package sets up the admin interface for the :mod:`papers` app.''' from django.contrib import admin from projects.models import Funding, FundingAgency class FundingAdmin(admin.ModelAdmin): '''The :class:`~projects.models.Funding` model admin is the default.''' pass admin.site.register(Funding, FundingAdmin) class FundingAgencyAdmin(admin.ModelAdmin): '''The :class:`~projects.models.FundingAgency` model admin is the default.''' pass admin.site.register(FundingAgency, FundingAgencyAdmin)

37.428571

81

0.751908

63

524

6.253968

0.460317

0.106599

0.091371

0.116751

0.406091

0.218274

0

0.133588

524

13

82

40.307692

0.867841

0.391221

0

0.25

0

1

0

true

0.25

0

0.5

0

null

0

null

0

1

0

2

f3aa39200a91e8ee89c1f49153a1bf66342a6c27

1,666

py

Python

tests/functional/parser/schemas.py

n2N8Z/aws-lambda-powertools-python

0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9

[ "MIT-0" ]

null

tests/functional/parser/schemas.py

n2N8Z/aws-lambda-powertools-python

0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9

[ "MIT-0" ]

null

tests/functional/parser/schemas.py

n2N8Z/aws-lambda-powertools-python

0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9

[ "MIT-0" ]

null

from typing import Dict, List, Optional from pydantic import BaseModel from typing_extensions import Literal from aws_lambda_powertools.utilities.parser.models import ( DynamoDBStreamChangedRecordModel, DynamoDBStreamModel, DynamoDBStreamRecordModel, EventBridgeModel, SnsModel, SnsNotificationModel, SnsRecordModel, SqsModel, SqsRecordModel, ) class MyDynamoBusiness(BaseModel): Message: Dict[Literal["S"], str] Id: Dict[Literal["N"], int] class MyDynamoScheme(DynamoDBStreamChangedRecordModel): NewImage: Optional[MyDynamoBusiness] OldImage: Optional[MyDynamoBusiness] class MyDynamoDBStreamRecordModel(DynamoDBStreamRecordModel): dynamodb: MyDynamoScheme class MyAdvancedDynamoBusiness(DynamoDBStreamModel): Records: List[MyDynamoDBStreamRecordModel] class MyEventbridgeBusiness(BaseModel): instance_id: str state: str class MyAdvancedEventbridgeBusiness(EventBridgeModel): detail: MyEventbridgeBusiness class MySqsBusiness(BaseModel): message: str username: str class MyAdvancedSqsRecordModel(SqsRecordModel): body: str class MyAdvancedSqsBusiness(SqsModel): Records: List[MyAdvancedSqsRecordModel] class MySnsBusiness(BaseModel): message: str username: str class MySnsNotificationModel(SnsNotificationModel): Message: str class MyAdvancedSnsRecordModel(SnsRecordModel): Sns: MySnsNotificationModel class MyAdvancedSnsBusiness(SnsModel): Records: List[MyAdvancedSnsRecordModel] class MyKinesisBusiness(BaseModel): message: str username: str class MyCloudWatchBusiness(BaseModel): my_message: str user: str

19.833333

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1,666

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83

62

20.072289

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true

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0.803922

0

null

0

null

0

1

0

1

0

2

f3aec13ab37c42864f83f8353ef76bbf6e8e00c7

420

py

Python

pokemon_combat/body_part.py

ryndovaira/telebot_fight_game

660473fea0de9635935495b0b2fd827bb51c47c9

[ "MIT" ]

null

pokemon_combat/body_part.py

ryndovaira/telebot_fight_game

660473fea0de9635935495b0b2fd827bb51c47c9

[ "MIT" ]

null

pokemon_combat/body_part.py

ryndovaira/telebot_fight_game

660473fea0de9635935495b0b2fd827bb51c47c9

[ "MIT" ]

null

from enum import Enum, auto class BodyPart(Enum): NOTHING = auto() # ничего (начальное состояние) HEAD = auto() # голова BELLY = auto() # живот LEGS = auto() # ноги @classmethod def min_index(cls): return cls.HEAD.value @classmethod def max_index(cls): return cls.LEGS.value @classmethod def has_item(cls, name): return name in cls._member_names_

20

52

0.619048

52

420

4.884615

0.576923

0.165354

0.110236

0.133858

0

0.285714

420

20

53

21

0.846667

0.109524

0

0.2

0

1

0.2

false

0

0.066667

0.2

0.8

0

null

0

null

0

1

0

2

f3b81f0da5b4d78d7f7a29ad65dbfe51dd9c3d39

2,411

py

Python

modules/dialogue_importer.py

KAIST-AILab/PyOpenDial

c9bca653c18ccc082dc8b86b4a8feee9ed00a75b

[ "MIT" ]

9

2019-09-23T01:56:43.000Z

2022-03-13T17:58:40.000Z

modules/dialogue_importer.py

KAIST-AILab/PyOpenDial

c9bca653c18ccc082dc8b86b4a8feee9ed00a75b

[ "MIT" ]

2

2019-11-18T17:02:30.000Z

2021-07-14T15:47:08.000Z

modules/dialogue_importer.py

KAIST-AILab/PyOpenDial

c9bca653c18ccc082dc8b86b4a8feee9ed00a75b

[ "MIT" ]

1

2022-02-08T06:41:19.000Z

import logging from threading import Thread from time import sleep from multipledispatch import dispatch from dialogue_state import DialogueState from modules.dialogue_recorder import DialogueRecorder from modules.forward_planner import ForwardPlanner class DialogueImporter(Thread): """ Functionality to import a previously recorded dialogue in the dialogue system. The import essentially "replays" the previous interaction, including all state update operations. """ # logger log = logging.getLogger('PyOpenDial') def __init__(self, system, turns): """ Creates a new dialogue importer attached to a particular dialogue system, and with an ordered list of turns (encoded by their dialogue state). :param system: the dialogue system :param turns: the sequence of turns """ self.system = system self.turns = turns self.wizard_of_mode = False @dispatch(bool) def set_wizard_of_oz_mode(self, is_wizard_of_oz): """ Sets whether the import should consider the system actions as "expert" Wizard-of-Oz actions to imitate. :param is_wizard_of_oz: whether the system actions are wizard-of-Oz examples """ self.wizard_of_mode = is_wizard_of_oz @dispatch() def run(self): if self.wizard_of_mode: # TODO: WizardLearner # self.system.attach_module(WizardLearner) # for turn in self.turns: # self.add_turn(turn) pass else: self.system.detach_module(ForwardPlanner) for turn in self.turns: self.add_turn(turn) self.system.get_state().remove_nodes(self.system.get_state().get_action_node_ids()) self.system.get_state().remove_nodes(self.system.get_state().get_utility_node_ids()) self.system.attach_module(ForwardPlanner) @dispatch(DialogueState) def add_turn(self, turn): try: while self.system.is_pauesd() or not self.system.get_module(DialogueRecorder).is_running(): try: # TODO: Thread sleep(100) except: pass self.system.add_content(turn.copy()) except Exception as e: self.log.warning("could not add content: %s" % e)

33.486111

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2,411

5.188811

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0.048518

0.11186

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0

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0

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false

0.052632

0.210526

0

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0

null

0

null

0

1

0

1

0

2

f3c435d0d39f9e66d72d19cb75fb37c344115fe5

364

py

Python

Q6.2_brain_teaser.py

latika18/learning

a57c9aacc0157bf7c318f46c1e7c4971d1d55aea

[ "Unlicense" ]

null

Q6.2_brain_teaser.py

latika18/learning

a57c9aacc0157bf7c318f46c1e7c4971d1d55aea

[ "Unlicense" ]

null

Q6.2_brain_teaser.py

latika18/learning

a57c9aacc0157bf7c318f46c1e7c4971d1d55aea

[ "Unlicense" ]

null

There is an 8x8 chess board in which two diagonally opposite corners have been cut off. You are given 31 dominos, and a single domino can cover exactly two squares. Can you use the 31 dominos to cover the entire board? Prove your answer (by providing an example, or showing why it’s impossible). _ ________________________________________________________________

60.666667

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54

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4.333333

0.833333

0.076923

0

0.019481

0.153846

364

5

131

72.8

0.74026

0

null

0

null

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null

0

1

0

null

0

1

0

2

f3c7491e9e71d4e9502531e23a18eb825a935574

1,906

py

Python

online.py

abraker95/auto-loved-bot

07e050a8804cea7614af917476c193797a453cb1

[ "MIT" ]

null

online.py

abraker95/auto-loved-bot

07e050a8804cea7614af917476c193797a453cb1

[ "MIT" ]

null

online.py

abraker95/auto-loved-bot

07e050a8804cea7614af917476c193797a453cb1

[ "MIT" ]

null

import time import requests import json class Online(): session = requests.session() REQUEST_OK = 0 # Data can be handled REQUEST_RETRY = 1 # Try getting data again REQUEST_BAD = 2 # No point in trying, skip and go to next one @staticmethod def fetch_web_data(url): response = Online.session.get(url, timeout=60*5) # Common response if match is yet to exist if 'Page Missing' in response.text: return Online.REQUEST_RETRY, {} # What to do with the data status = Online.validate_response(response) try: data = json.loads(response.text) except: return status, {} return status, data @staticmethod def validate_response(response): if response.status_code == 200: return Online.REQUEST_OK # Ok if response.status_code == 400: return Online.REQUEST_BAD # Unable to process request if response.status_code == 401: return Online.REQUEST_BAD # Need to log in if response.status_code == 403: return Online.REQUEST_BAD # Forbidden if response.status_code == 404: return Online.REQUEST_BAD # Resource not found if response.status_code == 405: return Online.REQUEST_BAD # Method not allowed if response.status_code == 407: return Online.REQUEST_BAD # Proxy authentication required if response.status_code == 408: return Online.REQUEST_RETRY # Request timeout if response.status_code == 429: return Online.REQUEST_RETRY # Too many requests if response.status_code == 500: return Online.REQUEST_RETRY # Internal server error if response.status_code == 502: return Online.REQUEST_RETRY # Bad Gateway if response.status_code == 503: return Online.REQUEST_RETRY # Service unavailable if response.status_code == 504: return Online.REQUEST_RETRY # Gateway timeout

39.708333

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1,906

5.100806

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null

0

1

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null

0

2

45ee805f01f9aaeb166bd38905c0d475f3c26174

538

py

Python

ibsng/handler/invoice/get_invoice_by_i_d.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

6

2018-03-06T10:16:36.000Z

2021-12-05T12:43:10.000Z

ibsng/handler/invoice/get_invoice_by_i_d.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-03-06T10:27:08.000Z

2022-01-02T15:21:27.000Z

ibsng/handler/invoice/get_invoice_by_i_d.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-01-06T16:28:31.000Z

2018-09-17T19:47:19.000Z

"""Get invoice by id API method.""" from ibsng.handler.handler import Handler class getInvoiceByID(Handler): """Get invoice by id method class.""" def control(self): """Validate inputs after setup method. :return: None :rtype: None """ self.is_valid(self.invoice_id, int) def setup(self, invoice_id): """Setup required parameters. :param int invoice_id: ibsng invoice id :return: None :rtype: None """ self.invoice_id = invoice_id

21.52

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null

0

null

0

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0

1

0

2

3403f5c550e586734e611cd55d8e1765defe86ed

297

py

Python

aiida/cmdline/groups/__init__.py

aiidateam/aiida_core

46d244e32ac5eca2e22a3d088314591ce064be57

[ "PSF-2.0", "MIT" ]

153

2016-12-23T20:59:03.000Z

2019-07-02T06:47:52.000Z

aiida/cmdline/groups/__init__.py

aiidateam/aiida_core

46d244e32ac5eca2e22a3d088314591ce064be57

[ "PSF-2.0", "MIT" ]

2,466

2016-12-24T01:03:52.000Z

2019-07-04T13:41:08.000Z

aiida/cmdline/groups/__init__.py

aiidateam/aiida_core

46d244e32ac5eca2e22a3d088314591ce064be57

[ "PSF-2.0", "MIT" ]

88

2016-12-23T16:28:00.000Z

2019-07-01T15:55:20.000Z

# -*- coding: utf-8 -*- """Module with custom implementations of :class:`click.Group`.""" # AUTO-GENERATED # yapf: disable # pylint: disable=wildcard-import from .dynamic import * from .verdi import * __all__ = ( 'DynamicEntryPointCommandGroup', 'VerdiCommandGroup', ) # yapf: enable

16.5

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null

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null

0

1

0

2

340b8f990c1b32dcdd389654c6b09c11a8ed3506

2,418

py

Python

incubator/kafka-connect/kafka-connect.py

CiscoM31/functions

96e34dfc815d92563ce2421b41c9c18906c8278b

[ "Apache-2.0" ]

74

2017-07-26T17:02:39.000Z

2021-07-27T22:27:57.000Z

incubator/kafka-connect/kafka-connect.py

CiscoM31/functions

96e34dfc815d92563ce2421b41c9c18906c8278b

[ "Apache-2.0" ]

15

2017-06-23T23:48:39.000Z

2019-10-01T09:49:32.000Z

incubator/kafka-connect/kafka-connect.py

CiscoM31/functions

96e34dfc815d92563ce2421b41c9c18906c8278b

[ "Apache-2.0" ]

35

2017-06-20T14:44:21.000Z

2021-11-04T12:28:31.000Z

import json import base64 from kubernetes import client, config config.load_incluster_config() v1=client.CoreV1Api() #Get slack secret for secrets in v1.list_secret_for_all_namespaces().items: if secrets.metadata.name == 'slack': token = base64.b64decode(secrets.data['token']) print "==> Function ready to listen events..." def handler(event, context): util_data = False try: if 'op' in event['data']['payload']: util_data = True; except: util_data = False if util_data == True: # CREATE operation if event['data']['payload']['op'] == "c": first_name = event['data']['payload']['after']['first_name']; last_name = event['data']['payload']['after']['last_name']; email = event['data']['payload']['after']['email']; msg = "Create operation: Added user %s %s with email %s" % (first_name, last_name, email) print msg; # DELETE operation elif event['data']['payload']['op'] == "d": first_name = event['data']['payload']['before']['first_name']; last_name = event['data']['payload']['before']['last_name']; email = event['data']['payload']['before']['email']; msg = "Delete operation: Deleted user %s %s with email %s" % (first_name, last_name, email) print msg; # UPDATE operation elif event['data']['payload']['op'] == "u": row_id = event['data']['payload']['before']['id']; first_name_before = event['data']['payload']['before']['first_name']; last_name_before = event['data']['payload']['before']['last_name']; email_before = event['data']['payload']['before']['email']; first_name_after = event['data']['payload']['after']['first_name']; last_name_after = event['data']['payload']['after']['last_name']; email_after = event['data']['payload']['after']['email']; msg = "Update operation in row with id %s: \n Old value: Name: %s %s and Email: %s \n New value: Name: %s %s and Email %s" % (row_id, first_name_before, last_name_before, email_before, first_name_after, last_name_after, email_after) print msg; else: msg = "Unrecognized operation" print msg; else: print "Payload is empty. Useless event..." return "Function executed"

42.421053

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0

null

0

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null

0

1

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3414b567571ba9fec00a916eb601f4d6648a9a43

483

py

Python

src/Models/loss.py

HomerW/CSGNet

4ecc7f3e836867118dba3d5f220ed5e74a536b93

[ "MIT" ]

null

src/Models/loss.py

HomerW/CSGNet

4ecc7f3e836867118dba3d5f220ed5e74a536b93

[ "MIT" ]

null

src/Models/loss.py

HomerW/CSGNet

4ecc7f3e836867118dba3d5f220ed5e74a536b93

[ "MIT" ]

null

import torch import torch.nn as nn from torch.autograd import Variable nllloss = nn.NLLLoss() def losses_joint(out, labels, time_steps: int): """ Defines loss :param out: output from the network :param labels: Ground truth labels :param time_steps: Length of the program :return loss: Sum of categorical losses """ loss = Variable(torch.zeros(1)).cuda() for i in range(time_steps): loss += nllloss(out[i], labels[:, i]) return loss

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null

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1

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3430dc2aab0b9a66724eea76329a3c8960caccb6

1,640

py

Python

day06/ftp_server.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

1

2020-06-04T08:44:09.000Z

day06/ftp_server.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

null

day06/ftp_server.py

zhangyage/Python-oldboy

a95c1b465929e2be641e425fcb5e15b366800831

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- ''' G:/temp 目录要提前创建一下，做为ftp的根目录 ''' import SocketServer import os class MyServer(SocketServer.BaseRequestHandler): def handle(self): base_path = 'G:/temp' conn = self.request print 'connected...' while True: pre_data = conn.recv(1024) #获取请求的方法、文件名、文件大小 cmd,file_name,file_size=pre_data.split('|') #已经接受的文件大小 recv_size = 0 #上传文件路径拼接 file_dir = os.path.join(base_path,file_name) f = file(file_dir,'wb') Flag = True while Flag: #未上传完成 if int(file_size) > recv_size: #最多接收1024，可能接收的小于1024 data = conn.recv(1024) recv_size+=len(data) #上传完毕退出循环 else: recv_size = 0 Flag = False continue f.write(data) print 'upload successed.' f.close() instance = SocketServer.ThreadingTCPServer(('127.0.0.1',9000),MyServer) instance.serve_forever()

22.777778

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117

1,640

4.794872

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0.057041

0.042781

0.057041

0

0.041667

0.57561

1,640

72

22.777778

0.764368

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null

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null

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0

null

0

1

0

null

0

1

0

2

3442e1c11024fc9efc57990cff859cf751f64fe7

396

py

Python

rest_framework_push_notifications/serializers.py

incuna/rest-framework-push-notifications

e57f06db45754af9e0b50159b8f12104222b2f68

[ "BSD-2-Clause" ]

1

2021-09-18T08:13:11.000Z

rest_framework_push_notifications/serializers.py

incuna/rest-framework-push-notifications

e57f06db45754af9e0b50159b8f12104222b2f68

[ "BSD-2-Clause" ]

7

2015-06-22T11:39:45.000Z

2021-06-10T17:46:53.000Z

rest_framework_push_notifications/serializers.py

incuna/rest-framework-push-notifications

e57f06db45754af9e0b50159b8f12104222b2f68

[ "BSD-2-Clause" ]

null

from push_notifications import models from rest_framework.serializers import HyperlinkedModelSerializer class APNSDevice(HyperlinkedModelSerializer): class Meta: fields = ('url', 'registration_id', 'name', 'device_id', 'active') model = models.APNSDevice class APNSDeviceUpdate(APNSDevice): class Meta(APNSDevice.Meta): read_only_fields = ('registration_id',)

28.285714

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39

396

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0.589744

0.216028

0

0.164141

396

13

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false

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0.666667

0

null

1

0

null

0

1

0

2

34495a06737335e1258b7f38ad90e67ba9e2259e

2,532

py

Python

enaml/mpl_canvas.py

viz4biz/PyDataNYC2015

066154ea9f1837c355e6108a28b85889f3020da3

[ "Apache-2.0" ]

11

2015-11-11T13:57:21.000Z

2019-08-14T15:53:43.000Z

enaml/mpl_canvas.py

viz4biz/PyDataNYC2015

066154ea9f1837c355e6108a28b85889f3020da3

[ "Apache-2.0" ]

null

enaml/mpl_canvas.py

viz4biz/PyDataNYC2015

066154ea9f1837c355e6108a28b85889f3020da3

[ "Apache-2.0" ]

6

2015-11-11T13:57:25.000Z

2018-09-12T07:53:03.000Z

#------------------------------------------------------------------------------ # Copyright (c) 2013, Nucleic Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #------------------------------------------------------------------------------ from atom.api import Typed, ForwardTyped, Bool, observe, set_default, Value, List, Enum from enaml.core.declarative import d_ from .control import Control, ProxyControl #: Delay the import of matplotlib until needed. This removes the hard #: dependecy on matplotlib for the rest of the Enaml code base. def Figure(): from matplotlib.figure import Figure return Figure class ProxyMPLCanvas(ProxyControl): """ The abstract definition of a proxy MPLCanvas object. """ #: A reference to the MPLCanvas declaration. declaration = ForwardTyped(lambda: MPLCanvas) def set_figure(self, figure): raise NotImplementedError def set_toolbar_visible(self, visible): raise NotImplementedError def set_toolbar_location(self, location): raise NotImplementedError def set_event_actions(self, actions): raise NotImplementedError def draw(self): raise NotImplementedError class MPLCanvas(Control): """ A control which can be used to embded a matplotlib figure. """ #: The matplotlib figure to display in the widget. figure = d_(ForwardTyped(Figure)) #: Whether or not the matplotlib figure toolbar is visible. toolbar_visible = d_(Bool(False)) toolbar_location = d_(Enum('top', 'bottom')) event_actions = d_(List(Value())) #: Matplotlib figures expand freely in height and width by default. hug_width = set_default('ignore') hug_height = set_default('ignore') #: A reference to the ProxyMPLCanvas object. proxy = Typed(ProxyMPLCanvas) def draw(self): """ Request draw on the Figure """ if self.proxy_is_active: self.proxy.draw() #-------------------------------------------------------------------------- # Observers #-------------------------------------------------------------------------- @observe('figure', 'toolbar_visible', 'toolbar_location', 'event_actions') def _update_proxy(self, change): """ An observer which sends state change to the proxy. """ # The superclass handler implementation is sufficient. super(MPLCanvas, self)._update_proxy(change)

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0.071006

0.059172

0.048652

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0.194313

2,532

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false

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null

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