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"""users table Revision ID: 13d829758502 Revises: Create Date: 2021-07-02 20:27:57.395627 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '13d829758502' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto genera...
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import cv2 import numpy as np import scipy.io as sio img = cv2.imread('test_data/edge_map1.png') assert img.shape == (256, 256, 3) r = cv.resize(img[:,:,1], (320, 180)) r = np.expand_dims(r, axis=0) r = np.expand_dims(r, axis=0) camera = np.zeros((1,9), dtype=int) data_dict = dict() data_dict['pivot_images'] = r data_d...
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import random import datetime import psycopg2 import psycopg2.extras from flask import Flask, request, render_template from .notessecrets import conn_string from .models import Note, SharedLink import string from .configs import new_note_timeout conn = psycopg2.connect(conn_string) conn.autocommit = True rate_limits ...
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''' 代理获取模块 ''' import requests from lxml import etree class Got_Proxie(): #定义一个方法获取前五页66ip的代理 def got_proxie_ip66(self,pages=5): base_url='http://www.66ip.cn/{}.html' urls=[base_url.format(page) for page in range(1,pages+1)] #这个网站不加请求头也能爬 for url in urls: ...
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from typing import Tuple import torch import torch.nn as nn from hlrl.torch.layers import SplitLayer class LinearPolicy(nn.Module): """ A standard linear policy. """ def __init__( self, inp_n: int, out_n: int, hidden_size: int, num_layers: in...
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import numpy as np import cv2 # mouse callback function def draw_circle(event,x,y,flags,param): global human,tiger,logo positionX = tiger.shape[1] positionY = tiger.shape[0] col = human.shape[1] row = human.shape[0] if event == cv2.EVENT_LBUTTONDOWN: # click. y -= row/2 ...
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LEDGER_TYPE_CREDIT = 'credit' LEDGER_TYPE_DEBIT = 'debit' def authenticate_and_verify_account(conn, username, pin, accountid, req_id=None): """ Check for matching userid/ pin in DB Check if userid has matching accountid """ with conn.cursor() as curs: sql = 'SELECT 1 FROM users WHERE usern...
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"""Kappa Loss""" import torch from torch import nn class KappaLoss(nn.Module): """Kappa Loss""" def __init__(self, n_classes: int): super().__init__() r = torch.arange(0, n_classes, dtype=torch.float) self._weight_matrix = torch.stack([r] * n_classes) self._weight_matrix -= to...
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from django.http import HttpResponse from django.shortcuts import render, redirect from django.contrib.auth import authenticate, login from . import models from .forms import LoginForm def index(request): return render(request, 'index.html', {'title': 'Вход/Кіру'}) def user_login(request): if request.method == 'POST...
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''' Created on Apr. 15, 2019 @author: dharitri ''' import socket import random import string import time filestore={} peer0files=[] peer1files=[] peer2files=[] peer3files=[] peer4files=[] keystores={} filessentpeer0=[] filessentpeer1=[] filessentpeer2=[] filessentpeer3=[] filessentpeer4=[] class node: #Class that ...
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""" Django settings for books4books project. Generated by 'django-admin startproject' using Django 3.2.7. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """...
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# Generated by Django 2.2.8 on 2020-02-12 12:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("ecommerce", "0026_coupon_include_future_runs")] operations = [ migrations.AddField( model_name="coupon", name="is_global", ...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
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def maxCuttingSolution(length:int): if length < 2: return 0 if length == 2: return 1 if length == 3: return 2 #多剪长为3的段 timeOf3 = length // 3 #当最后剩下长度为4时减2*2,比3*1好 if length - timeOf3*3 == 1: timeOf3 -= 1 timeOf2 = (length - timeOf3*3) // 2 print('长为3...
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import usuarios.conexion as conexion connect = conexion.conectar() database = connect[0]#conexion base de datos cursor = connect[1] class Nota: def __init__(self,usuario_id, titulo = "", descripcion =""): self.usuario_id = usuario_id self.titulo = titulo self.descripcion = descripcio...
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import xlwings as xw app = xw.App(visible=True, add_book=False) workbook = app.books.open(".\\销售表\\电车.xlsx") for sheet in workbook.sheets: value = sheet.range("A1").expand("table") # 获取行列信息 value.column_width = 20 value.row_height = 20 workbook.save() app.quit()
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from math import gcd lines = [x.strip() for x in open("D:/Users/Azure Meso/Documents/Programmierung/Advent of Code 2020/Day 13/input.txt")] bus_ids = [id for id in lines[1].split(',')] bus_ids = [(int(bus),-i) for (bus,i) in list(zip(bus_ids,range(len(bus_ids)))) if bus != 'x'] def kgv(x,y): return x * y // gcd(x...
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def function_a(): global a a = 1 b = 2 return a+b def function_b(): c = 3 return a+c print(function_a()) print(function_b()) # def many(*args, **kwargs): # print(args) # print(kwargs) # # # many(1, 2, 3, name="Mike", job="programmer") # def keyword_function(a=1, b=2): # retur...
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from discord.ext import commands from core.classes import Cog_Extension import json with open('setting.json', 'r', encoding='utf8') as jfile: jdata = json.load(jfile) class Common(Cog_Extension): #ping @commands.command(name= 'ping', aliases=['延遲' , '機器人延遲' , 'delay']) async def ping(self, ctx): ...
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from __future__ import division import numpy as np import torch import torch.nn as nn from mmcv.cnn import normal_init from mmdet.core import (AnchorGenerator, anchor_target, delta2bbox, force_fp32, multi_apply, multiclass_nms) from ..builder import build_loss from ..registry import HEADS @H...
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import numpy as np """ This function takes input from the camera depth [distance, angle], transforms it, and produces output of the coordinates [x, y] for the next functions find & approach. """ # Input distance [mm] and angle [rad] from depth camera reading # Output vertical vector with coordenates x and y [mm] def ...
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import tensorflow as tf message = tf.constant('Welcome to the exciting world of Deep Neural Networks!') with tf.Session() as sess: print(sess.run(message).decode())
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# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-03-27 15:28 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migratio...
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class Solution: # @return a list of lists of integers def dp(self, k, n , i, c_list): c_list.append(i) if len(c_list) == k: self.ret.append( [v for v in c_list]) c_list.pop() return for j in range(i+1, n+1): self.dp(k, n, j, c_list) ...
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import contextlib import json import logging import os from sqlalchemy import Column, ForeignKey, Integer, String, DateTime, Float from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, sessionmaker from sqlalchemy import create_engine from sqlalchemy import exc from . import u...
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import os os.environ['CUDA_LAUNCH_BLOCKING']='1' import torch from models.BiTmodel import BiTSimCLR from models.ViTmodel import VisionTransformerSimCLR from models.Efficientmodel import EfficientCLR from models.CGDmodel import CGDmodel from torch.utils.tensorboard import SummaryWriter import torch.nn.functional as F fr...
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def rotate(lst, shiftBy): y = shiftBy % len(lst) for i in range(y): x = lst.pop() lst.insert(0, x) return lst z = rotate([1,2,3,4,5,6,7,8,9,10], 10000000000000000000000000000000000000000002) q = rotate([1,2,3,4,5,6,7,8,9,10], 2) print(z, q)
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019/1/14 14:20 # @Author : Zhangyp # @File : run.py # @Software: PyCharm # @license : Copyright(C), eWord Technology Co., Ltd. # @Contact : yeahcheung213@163.com from mssql import * # from ReadConf import * # import os from shellcopy import * import shutil...
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class Node: def __init__(self, data): self.data = data self.next = None class LinkedList: def __init__(self): self.head = None def printList(self): temp = self.head while temp: print(temp.data, end=" ") temp = temp.next def addToList(self, newData): newNode = Node(newData) if self.head is Non...
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from comet_ml import Experiment from comet_ml import Optimizer API_KEY = 'oda8KKpxlDgWmJG5KsYrrhmIV' import numpy as np from keras.models import Model from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization, Input from keras.layers import Conv1D, MaxPooling1D, Conv2D, MaxPool2D from keras.cal...
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# -*- coding: utf-8 -*- """ mailme.utils.text ~~~~~~~~~~~~~~~~~ Various text realated tools. """ import re _str_num_re = re.compile(r'(?:[^\d]*(\d+)[^\d]*)+') def increment_string(s): """Increment a number in a string or add a number.""" m = _str_num_re.search(s) if m: next = str(int...
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#!/usr/bin/python __author__ = 'Thomas Dixon' __license__ = 'MIT' import copy, struct, sys digest_size = 32 blocksize = 1 def new(m=None): return sha256(m) class sha256(object): _k = (0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5, 0xd807aa...
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import numpy as np import matplotlib.pyplot as plt import math def radialDistFun(binSize): radialFreqFile = open('/Users/gbonn/Summer_Research_2020/lammps_tut/radialDistFun.txt','r') data = np.loadtxt(radialFreqFile) allRad = data[:,0] allCts = data[:,1] #print(len(allRad)) #print(len(allCts)) ...
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from config.experiment_config_lib import ControllerConfig from sts.topology import * from sts.control_flow import InteractiveReplayer from sts.simulation_state import SimulationConfig from sts.input_traces.input_logger import InputLogger simulation_config = SimulationConfig(controller_configs=[ControllerConfig(start_...
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class analysis_tool: """ Input a dictionary of <partname, position> and output a list of messages Messages are warning messages if the sitting pose is not correct Else messages should be only including affirm """ def __init__(self, dic): self.dir = dic # Assumptuib: Nos...
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# Generated by Django 3.2.4 on 2021-07-09 13:55 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0004_auto_20210709_1112'), ] operations = [ migrations.AddField( model_name='order', name='items', ...
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# Generated by Django 3.2.2 on 2021-05-13 15:04 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUT...
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# -*- coding: utf-8 -*- """ Created on Thu Jul 25 19:25:37 2019 @author: mwa """ import torch import torch.nn as nn import torch.nn.functional as F from collections import OrderedDict class _DenseLayer(nn.Sequential): def __init__(self, num_input_features, growth_rate, bn_size, drop_rate): super(_DenseLa...
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import csv import pprint import datetime with open('5ch_data.csv') as f: reader = csv.reader(f) for row in reader: lists = [row for row in reader] msg = "" msg += "[\n" for l in lists: msg += "[" msg += "\"\"," # id1 msg += "\"" + str(l[0]) + "\"," # id2 msg += "\"" + str(l[0]...
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def main(x): result='Draw' for i in range(0,4): if x[i][0]!='.' and x[i][0]!='T': flag=x[i][0] else: continue count=0 for j in range(0,4): if x[i][j]==flag or x[i][j]=='T': count+=1 else: break if count==4: result=flag+' won' count=0 for i in range(0,4): i...
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# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU...
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# 2.实现需求:给订单列表,用户余额两个函数添加装饰函数,能够完成权限验证功能 # 1.原始 # def checkuser(): # username = input("请输入用户名:") # if username == "lzj": # print("登录成功") # showlist() # showmoney() # else: # print("未授权,登录失败") # # # def showlist(): # print("订单列表") # def showmoney(): # print("用户余额") # ...
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from unittest import TestCase from problems.N1567_Maximum_Length_Of_Subarray_With_Positive_Product import Solution class TestSolution(TestCase): def test_getMaxLen(self): self.assertEqual(4, Solution().getMaxLen([1, -2, -3, 4])) def test_getMaxLen_1(self): nums = [0,1,-2,-3,-4] self.as...
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import matplotlib import sys import matplotlib.pyplot as plt import numpy as np def main(argv): # tsi = np.loadtxt('tsi.txt') recovid = np.loadtxt('recovid.txt') fig, ax = plt.subplots(1, 1) # ftsi = ax.plot(tsi[:, 0], tsi[:, 1]) x = range(len(recovid)) freco = ax.plot(x, recovid[:, 1]) ...
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from typing import Tuple, List from Model.Usuario import Usuario class UsuarioParser: @staticmethod def toUsuario(lista:List[Tuple]) -> List[Usuario]: usuarios = [] for tupla in lista: id = tupla[0] nome = tupla[1] usuario = Usuario(nome, id) u...
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from keras.preprocessing.sequence import pad_sequences from transformers import BertTokenizer from sklearn.model_selection import train_test_split tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased', do_lower_case=False) def preprocess_fn(dt,mode='train'): TRAIN_MAXLEN = 128 TEST_MAXLEN ...
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#add new field in feature class import arcpy # Create insert cursor for table fc = r'F:\Demidov\PythEveryone\PyCharmProject\Lesson3\USA.gdb\CitiesCopy2' rows = arcpy.InsertCursor(fc) # Create 25 new rows. Set the initial row ID and distance values for x in xrange(1, 26): row = rows.newRow() row.setValue("UIDE...
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# -*- coding: UTF-8 -*- from __future__ import unicode_literals from django import forms from django.utils.translation import ugettext, ugettext_lazy as _ from django.core.mail import send_mail from django.contrib.auth.models import User class MessageForm(forms.Form): recipient = forms.ModelChoiceField(label=_("...
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from __future__ import absolute_import from celery import group, chord from celery.app import builtins from celery.five import range from celery.utils.functional import pass1 from celery.tests.case import AppCase, ContextMock, Mock, patch class BuiltinsCase(AppCase): def setup(self): @self.app.task(sha...
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def update_parameters(parameters, grads, learning_rate = 1.2): """ Updates parameters using the gradient descent update rule given above Arguments: parameters -- python dictionary containing your parameters grads -- python dictionary containing your gradients Returns: parameters ...
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from crontab import CronTab my_cron = CronTab(user='ubuntu') for job in my_cron: job.delete() job = my_cron.new(command='python3 ~/twilioTwitter/server/cronJobber.py') job.hour.every(1) my_cron.write()
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# 11_function_param_list.py # 함수에 리스트 전달하는 예제 #함수 이름 : show_names(names) : #함수 기능 : 전달받은 변수의 값을 반복문을 활용해서 요소값으로 출력하시오 # 리스트가 전달된다고 가정 def show_names(names) : for name in names : print(name, end = ' ') #함수 테스트 #리스트를 인수로 전달한 후 출력이 일어나는지 확인 names_list=['Kim','Lee','Park'] show_names(names_list)
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# -*- coding: utf-8 -*- # Copyright (c) 2020, Lintec Tecnología and Contributors # See license.txt from __future__ import unicode_literals # import frappe import unittest class TestScheduledJobLog(unittest.TestCase): pass
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"""PredictionResult and PredictionConditionResult.""" import os from pathlib import Path from time import time from typing import Dict, Sequence, Union from warnings import warn import h5py import numpy as np import pandas as pd from ..C import ( CONDITION_IDS, CSV, OUTPUT, OUTPUT_IDS, OUTPUT_SEN...
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''' class Caine: def __init__(self,id,nume,val): self.__id = id self.__nume = nume self.__val = val def getNume(self): return self.__nume def __eq__(self,other): return self.__id == other.__id ''' t = Test()
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n0, n1 = 3, 4 inds = [] for j in range(n0): for i in range(n1): indexFlat = n1*j + i indexSnake = n1*j + (1 - j%2)*i + (n1 - 1 - i)*(j%2) inds.append(indexSnake) print('indexFlat = {} indexSnake = {}'.format(indexFlat, indexSnake)) inds.sort() print(inds)
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import torch import torch.nn as nn from hparams import hparams as hp class ResLayer(nn.Module): def __init__(self, padding, dilation): super(ResLayer, self).__init__() self.conv_dilated = nn.Conv1d(in_channels=hp.model.wavenet.n_channels_dilated, out_channels...
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# usage: conmap.py [-h] -i INFILES -r ROIFILE -m MASKFILE -o OUTDIR # [--nmaps NMAPS] [--save_eta2 SAVE_ETA2] [--norm NORM_FLAG] # # Developed at DCCN (Donders Centre for Cognitive Neuroimaging), Donders Institute # for Brain, Cognition and Behaviour. Radboud University, Nijmegen, The Netherlands # # A...
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import requests import configparser import json import re import cloudscraper import json from requests.packages.urllib3.exceptions import InsecureRequestWarning requests.packages.urllib3.disable_warnings(InsecureRequestWarning) TIMEOUT = 10 # virustotal api 查询结果,返回json格式数据 def virustotal_api(): print('Load Virus...
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#all the stuff related to Bot₵oin import requests import time import sys import datetime import csv import random import re import json import traceback import os import telegram from pydblite import Base #The PyDbLite stuff import builtins from . import atbSendFunctions from . import atbMiscFunction...
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#!/home/julia/PycharmProjects/NewPr/myenv/bin/python3 from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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from django.shortcuts import render from products.models import Product from .filters import ProductFilter from django.views.generic import ListView,DetailView from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from django.contrib.auth.mixins import LoginRequi...
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#เรียงลำดับชื่อ student=["สมพร","แก้ว","จอมขวัญ","อัมพร","ก้อง","กล้า"] print(student) student.sort() print(student) student.reverse() print(student)
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# -*- coding: utf-8 -*- """ Simple Generic Location Tracking System @copyright: 2011-12 (c) Sahana Software Foundation @license: MIT Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the So...
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import os import yaml from config import BASE_URL print(BASE_URL) def read_yaml(filename): with open(BASE_URL+os.sep+"data"+os.sep+filename,"r",encoding="utf-8") as f: arr = [] for data in yaml.load(f,Loader=yaml.FullLoader).values(): arr.append(tuple(data.values())) return ar...
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import pytest from MTAF.Pages.ControlsPage import ControlsPage from MTAF.Pages.HomePage import HomePage from MTAF.Pages.SystemDatePage import SystemDatePage from MTAF.ReusableFunctions import globalVar, reportFact from MTAF.ReusableFunctions.DriverFunctions import DriverFunctions class Test_SystemConfig: @pytest....
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# -*- coding: utf-8 -*- from openerp.osv import fields, osv import logging _logger = logging.getLogger(__name__) class stock_move(osv.osv): _inherit = "stock.move" _order = 'id , date_expected desc' def _get_sale_order_line(self, cr, uid, ids, field_name, arg, context=None): result = {} ...
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# coding: utf-8 # ## Testing the Neural Entity Detector trained using Google News Word Embeddings # #### Download Google News vectors from <a href = "https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit"> here</a> # #### Extract and move them # In[1]: get_ipython().system(u'cp "Location of the vectors...
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''' Created on Apr 17, 2011 @author: kykamath ''' import sys, math sys.path.append('../') from datasets import DataDirection, DocumentType, TweetType from utilities import Utilities from settings import Settings from datetime import datetime, timedelta from collections import defaultdict from operator import itemgette...
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#!/usr/bin/env python3 # SPDX-License-Identifier: WTFPL import argparse import re import signal import sys from html.parser import HTMLParser import requests LINK_RE = re.compile(r"""https?://[^])'">\s]+""") class TitleFetchParser(HTMLParser): def __init__(self, *args, **kwargs): super().__init__(*arg...
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import numpy #Convert row of integer to a tuple tup = tuple(map(int, input().split())) #Print zeros and ones based on the tuple print(numpy.zeros(tup, dtype = numpy.int)) print(numpy.ones(tup, dtype = numpy.int))
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from operator import itemgetter import string DIRECTIONS = [(0, -1), (-1, 0), (0, 1), (1, 0)] class AllWhiteCalc: def __init__(self): self.marked = [] self.board = [] self.symbol = dict() def find_neighbours(self, coordinate): neighbours = [] for d in DIRECTIONS: ...
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