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import string import random #print(string.ascii_letters) symbols=[] symbols=list(string.ascii_letters) card1=[0]*5 card2=[0]*5 pos1=random.randint(0,4) pos2=random.randint(0,4) #pos1 and pos2 are same symbol position in card1 and card2 respectively samesymbol=random.choice(symbols) symbols.remove(samesymbol) if(p...
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from PyQt4 import QtGui, uic, QtCore from sys import exit from chat_grupal import ChatGrupal formulario_1 = uic.loadUiType("menu_inicio.ui") class MenuInicial(formulario_1[0], formulario_1[1]): def __init__(self, cliente): super().__init__() self.cliente = cliente self.setupUi(self) ...
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from django.urls import path, include app_name = 'users' from . import views urlpatterns = [ path('', include('django.contrib.auth.urls')), path('register/', views.register, name='register'), ]
[ "niel.sharma805@gmail.com" ]
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# # word-count exercise # iter. 2 # def word_count(phrase): wordlist = phrase.split() #output in dictionary format to past the test output = {} for x in wordlist : if x not in output : output [x] = 1 else : output [x] += 1 return output
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rrc@berkeley.edu
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n=12 ck=95.123 r=1 while(n): n=n-1 r*=ck print(r)
[ "noreply@github.com" ]
FalseF.noreply@github.com
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class sample: def __init__(self): print("Class instantiated") mysample=sample() mysample.__init__()
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from asternic_email import CallStats import local_settings import optparse import arrow last_week = arrow.get().replace(days=-7).format('YYYY-MM-DD') help_txt = ( "Date inside of the week you wish to create a" " report for. For example for last week use {}").format(last_week) parser = optparse.OptionParser() ...
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import logging from django.core.exceptions import ObjectDoesNotExist, EmptyResultSet from django.http.response import JsonResponse, HttpResponse from django.shortcuts import render from rest_framework.decorators import api_view from rest_framework.parsers import JSONParser from crudapi.models import Employee from crud...
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import angr proj = angr.Project('pshufb_xmm_xmm.exe') print proj.arch print proj.entry print proj.filename irsb = proj.factory.block(proj.entry).vex irsb.pp()
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#!/home/fariya/PycharmProjects/untitled/venv/bin/python # -*- coding: utf-8 -*- import re import sys from sqlparse.__main__ import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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#!C:\Users\sylwi\PycharmProjects\strona\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3' __requires__ = 'pip==10.0.1' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0...
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import os import time import glob import argparse import numpy as np import pandas as pd parser = argparse.ArgumentParser() parser.add_argument('-u', '--username', dest='username', help='Provide username for PATRIC account. Prompt to enter password will appear.') parser.add_argument('-m','--metadata_file',dest='metada...
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# Generated by Django 3.0.3 on 2021-01-21 02:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('projects', '0002_remove_position_related_skill'), ] operations = [ migrations.AddField( model_name='project', name='...
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from flask import Flask, render_template myapp = Flask(__name__) @myapp.route("/") def hello(): return render_template("index.html") if __name__ == "__main__": myapp.run(debug=True)
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# filewrite1.py content='''Hello Python 中文字測試 Welcome''' f=open('file1.txt', 'w' ,encoding='utf-8', newline="") f.write(content) f.close() # filewrite2.py content='''Hello Python 中文字測試 Welcome''' with open('file1.txt', 'w' ,encoding='utf-8', newline="") as f: f.write(content) # fileread1.py with open('file1.t...
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# Load Dependency: import numpy as np # Activation Function: def activate(x,deriv=False): if(deriv==True): return x*(1-x) return 1/(1+np.exp(-x)) # Input Dataset: _input = np.array([ [0,0,1], [0,1,1], [1,0,1], [1,1,1] ]) # Output Dataset ...
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#!/mnt/D0A2B33FA2B328BC/Frontend-Workspace/VS-workspace/oop-book-list/python_rest/venv/bin/python2 # -*- coding: utf-8 -*- import re import sys from setuptools.command.easy_install import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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""" mail@kaiploeger.net """ import matplotlib.pyplot as plt import numpy as np import time from policies import CubicMP, PiecewiseMP from envs import IsaacSim, IsaacJugglingWam4 from ereps import eREPS # stroke based movement primitive to get going poss_stroke = np.array([[- 0.10, 1.20, 0.0, 1.25], ...
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2+2 print("智障")
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# -*- coding: utf-8 -*- """ Created on Fri Mar 6 19:41:44 2020 @author: baotr """ class Graph(object): def __init__(self, graph_dict=None): if graph_dict == None: graph_dict={} self.graph_dict=graph_dict def neighbors(self, node): return self.graph_dict[...
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from keras.datasets import mnist from keras.models import Sequential from keras.layers import Dense from keras.layers import Dropout from keras.layers import Flatten from keras.layers import BatchNormalization from keras.layers.convolutional import Conv2D from keras.layers.convolutional import MaxPooling2D from...
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import rospy import numpy as np from geometry_msgs.msg import WrenchStamped from gazebo_msgs.msg import ContactsState rospy.init_node("Test", anonymous=True) # get state msg = rospy.wait_for_message("/panda/ft/tool", WrenchStamped) F = np.asarray((msg.wrench.force.x, msg.wrench.force.y, msg.wrench.force.z)) M = np.a...
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class SubmissionLimitExceeded(Exception): """ Exception thrown when the maximum number of places on a study already exists. """ pass class StudyNotCreated(Exception): """ Exception type thrown when an attempt to create a submission with an invalid study id is made. """ pass
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# search.py # --------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # A...
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class Animal(object): def __init__(self): self.attr = 1 def speak(self): return "Noise" class Dog(Animal): def speak(self): return "Waw" def bite(self): return "chomp" class Cat(Animal): def speak(self): return "Miau" fido = Dog() pelusa = Cat() print fido.speak() print pelusa.speak()
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#!C:\Users\12dda\PycharmProjects\bot\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install' __requires__ = 'setuptools==40.8.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)...
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import Forex.config as fxconfig class Account: def __init__(self): cfg = fxconfig.make_config_instance() api = cfg.create_context() response = api.account.summary(cfg.active_account) account = response.body['account'] self.id = account.id # # Client-assign...
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""" WSGI config for myCVGenerator project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO...
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import sys import copy import builtins import traceback # from queue import Queue import queue import threading import time ################# look at me ################################ # http://www.rueckstiess.net/research/snippets/show/ca1d7d90 ############################################################...
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from prettytable import PrettyTable import matplotlib.pyplot as plt import numpy as np import decimal import plotly.graph_objs as go from plotly.graph_objs import Scatter,Layout import plotly import plotly.offline as py import pandas as pd import plotly.express as px class Helper: """ Helper class fo...
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#!/usr/bin/python #-*- coding:utf-8 -*- def echo(value=None): print "Excution starts when next() is called for the first time." try: while True: try: value=(yield value) except Exception,e: value=3 finally: print "Don't forget to clea...
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def order_people(lst, people): if lst[0] * lst[1] < people: return 'overcrowded' res = [] for row in range(lst[0]): direc = -1 if len(res) % 2 else 1 res.append([n if n <= people else 0 for n in range(len(res) * lst[1] + 1, (len(res) + 1) * lst[1] + 1)][::direc]) return res
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Jan 30 17:30:54 2021 @author: xujianqiao """
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# -*- coding: utf-8 -*- """The QCOW format analyzer helper implementation.""" from dfvfs.analyzer import analyzer from dfvfs.analyzer import analyzer_helper from dfvfs.analyzer import specification from dfvfs.lib import definitions class QCOWAnalyzerHelper(analyzer_helper.AnalyzerHelper): """Class that implements ...
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import os import cachecontrol import google.auth.transport.requests import requests from functools import wraps from google.oauth2 import id_token class AuthenticationFailedException(Exception): pass def oidc_auth_required(request, email=None, audience=None): def decorator(f): @wraps(f) def wr...
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#!/home/natrayan/project/AwsProject/Python/Tradingapp/tradingapp5/natvenv/env/bin/python3.6 import sys import json import argparse from pprint import pformat import jmespath from jmespath import exceptions def main(): parser = argparse.ArgumentParser() parser.add_argument('expression') parser.add_argume...
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### test script for Ray and import torch import pytorch_lightning as pl from torch.utils.data import DataLoader, random_split from torch.nn import functional as F from torchvision.datasets import CIFAR100 from torchvision import transforms from torchvision import models from torch.nn import CrossEntropyLoss import os...
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#!/usr/bin/env python3 """ Author: Ian Coleman Purpose: Call the Nutritics API """ import pdb import requests api_address = "https://iancoleman1a:Pokemon124*@www.nutritics.com/api/v1.1/" def get_users (): all_users = requests.get("{}LIST/&client".format(api_address)) return all_users.text def create_user (uid): ...
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import datetime from calendar import day_name class MeetupDayException(Exception): pass def weekdays_in_month(year, month, weekday): """Return all 4/5 dates with given weekday.""" date = datetime.date(year, month, 1) date += datetime.timedelta(days=(weekday - date.weekday()) % 7) first_to_fifth ...
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#!/usr/bin/python import matplotlib.pyplot as plt from prep_terrain_data import makeTerrainData from class_vis import prettyPicture features_train, labels_train, features_test, labels_test = makeTerrainData() ### the training data (features_train, labels_train) have both "fast" and "slow" ### points mixed together-...
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import sys import time import math import scipy as sp import numpy as np import matplotlib.pyplot as plt import csv from mpl_toolkits.mplot3d import Axes3D from matplotlib.backends.backend_pdf import PdfPages import matplotlib.animation as animation #GM =0.00029632889 * 10E11 GM = 4.498309551e-13 #GM=4.43E-6 #GM =1E-3...
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#!/usr/bin/env python # -*- coding: UTF-8 -*- import psutil print(psutil.cpu_times()) #显示cpu的整个信息 print(psutil.cpu_times().user) print(psutil.cpu_count()) #获取cpu的逻辑个数(核心) print(psutil.cpu_count( logical=False )) print(psutil.swap_memory()) print(psutil.disk_io_counters(...
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import torch from .pytorch_pretrained import BertTokenizer, BasicTokenizer from .pytorch_pretrained import PYTORCH_PRETRAINED_BERT_CACHE from .model import BertPlusMLP def get_basic_tokenizer(do_lower_case): """ Get a basic tokenizer(punctuation splitting, lower casing, etc.). """ return BasicTokeni...
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# Import pathlib from pathlib import Path #Import fileio from qualifier.utils import fileio # Import Calculators from qualifier.utils import calculators # Import Filters from qualifier.filters import credit_score from qualifier.filters import debt_to_income from qualifier.filters import loan_to_value from qualifier....
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# Django: Custom User form instead of built in + custom required fields help_text=_("Enter the same password as above, for verification."))
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import numpy as np from past.builtins import xrange class KNearestNeighbor(object): """ a kNN classifier with L2 distance """ def __init__(self): pass def train(self, X, y): """ Train the classifier. For k-nearest neighbors this is just memorizing the training data. Inputs: - X: A nu...
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import json import requests import configparser def sender(token, id, message): """Use line message api to push message to line user, group, or chat room. Args: token (string): Channel access token of message api. id (string): Line ser, group, or chat room id. message (string): A mess...
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from game import Game def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press ⌘F8 to toggle the breakpoint. def main(): game = Game() game.run() # Press the green button in the gutter to run the script. if __name__ == '__main__': main() ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- from collections import deque, defaultdict, namedtuple import random from operator import itemgetter import numpy as np from concurrent.futures import ThreadPoolExecutor from predictors.container import PredictionContainer from predictors.coefficient import BaseCoeffici...
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# Generated by Django 3.1.2 on 2020-10-12 14:57 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('alldata', '0008_advice_coursegrades_courseinstructor_studentenrollment'), ] operations = [ migrations.Creat...
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from django.db import models import datetime from django.db import models from django.utils import timezone class DailyMain(models.Model): slip_date = models.DateTimeField('slip_date', default=None) slip_name = models.CharField(max_length=40, null=True, blank=True) def name(self): return self.ou...
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import calendar def tstCal(): myCal=calendar.TextCalendar(calendar.MONDAY) fmtMyCal=myCal.formatmonth(2018, 11, 1, 1) print(fmtMyCal) for myMonth in range(1,13): myCal=calendar.TextCalendar(calendar.MONDAY) fmtMyCal=myCal.formatmonth(2018,myMonth,1,1) print(fmtMyCal) ...
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from collections import deque n = int(input()) uvw = [list(map(int, input().split())) for _ in range(n-1)] l = [[] for _ in range(n)] for u, v, w in uvw: u, v = u-1, v-1 l[u].append((v, w)) l[v].append((u, w)) ans = [0] * n parents = [-1] * n q = deque([0]) while q: a = q.pop() for i, j in l[a]: ...
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# coding: utf-8 import numpy as np import pandas as pd admissions = pd.read_csv('student_data.csv') # Make dummy variables for rank data = pd.concat([admissions, pd.get_dummies(admissions['rank'], prefix='rank')], axis=1) data = data.drop('rank', axis=1) # Standarize features for field in ['gre', 'gp...
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data = {} # Auto: data["BSC"] = "Bachelor of Science" data["BA"] = "Bachelor of Arts" data["BACC"] = "Bachelor of Accounting" data["BAE"] = "Bachelor of Arts and Economics" data["BARCH"] = "Bachelor of Architecture" data["BASC"] = "Bachelor of Applied Science" data["BAS"] = "Bachelor of Applied Science" data["BAPPSC"]...
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#!/usr/bin/python # -*- coding: UTF-8 -*- #参考自http://c.biancheng.net/view/2011.html import requests #导入requests包 from bs4 import BeautifulSoup import re import time file_name = 'D:\\test\\xingzhengquhua\\xingzhengquhua.txt' url='https://xingzhengquhua.51240.com/' strhtml=requests.get(url) soup=BeautifulSoup(...
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########################################################################################################## ### CNN.py ### ##########################################################################################################...
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''' LICENSING ------------------------------------------------- pyEIC: A python library for EIC manipulation. Copyright (C) 2014-2015 Nicholas Badger badg@nickbadger.com nickbadger.com This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General...
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#!/usr/bin/env python import os import subprocess import time from setuptools import find_packages, setup import torch from torch.utils.cpp_extension import (BuildExtension, CppExtension, CUDAExtension) def readme(): with open('README.md', encoding='utf-8') as f: co...
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#! /usr/bin/env python def time_or_old_fact(str_arg): life(str_arg) print('small_company') def life(str_arg): print(str_arg) if __name__ == '__main__': time_or_old_fact('say_high_person_up_thing')
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#a = 35 #b = int(input()) #print(b > a) #rint(b < a) #print(b == a) #print(b != a) #a = int(input("первое число:")) #b = int(input("второе число:")) #print(a + b) #print(a * b) #a = int(input( "ur first no:")) #b = float(input("ur second no:")) #c = int(input("ur third no:")) #print(a == b == c) location = input("...
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import threading from contextlib import contextmanager import os from os.path import dirname, abspath, join as pjoin import shutil from subprocess import check_call, check_output, STDOUT import sys from tempfile import mkdtemp from . import compat __all__ = [ 'BackendUnavailable', 'BackendInvalid', 'HookM...
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# Ref (works ok): https://pythonprogramminglanguage.com/python-flask-websocket/ # NOTE: The server fails until I downgraded flask-socketio to 4.3.2 per https://github.com/miguelgrinberg/Flask-SocketIO/issues/1432 # C:\Python\Python39\Scripts\pip.exe install -Iv flask-socketio==4.3.2 from flask import Flask, render_tem...
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from __future__ import print_function import os import math import random import datetime import json import re import subprocess import rospkg import rospy import robots from qt_gui.plugin import Plugin from python_qt_binding import loadUi, QtCore, QtGui, QtWidgets from nav_msgs.msg import Odometry from geometry_msg...
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import sys import io from selenium import webdriver from selenium.webdriver.chrome.options import Options import time from bs4 import BeautifulSoup import requests import os sys.stdout = io.TextIOWrapper(sys.stdout.detach(), encoding = 'utf-8') sys.stderr = io.TextIOWrapper(sys.stderr.detach(), encoding = 'u...
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classmate = ['fdf','fff','aa'] classmate.append("admin") classmate.insert(1,"d") print (classmate[-2]) classmate.pop(1) print (len(classmate)) age = 1 if age < 3: print ("ff") sum = 0 for x in [1,2,3,4,5,66,7]: print(x) print(list(range(7)))
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# Given an array,find the maximum j – i such that arr[j] > arr[i] inputArray = [100,200,8,4,6,3,6,9,8,3,5,3,6,3,5,7,8,5,0] pointerDifference = len(inputArray) - 1 answer = None while pointerDifference > 0: p1 = 0 p2 = p1 + pointerDifference while p2 < len(inputArray): if inputArray[p2] > inputArr...
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# # PySNMP MIB module RUCKUS-ZD-EVENT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RUCKUS-ZD-EVENT-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:59:13 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default...
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# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymongo class TaobaoPipeline(object): def __init__(self,mongo_url,mongo_db): self.mongo_url=mongo_url ...
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import cv2 from base_camera import BaseCamera class Camera(BaseCamera): def __init__(self): super().__init__() @staticmethod def frames(): camera = cv2.VideoCapture(0) if not camera.isOpened(): raise RuntimeError("Could not start camera.") while True: ...
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# -*- coding: utf-8 -*- """ Created on Tue Dec 5 13:26:26 2017 @author: Cabin """ from kivy.lang import Builder from plyer import gps from kivy.uix.widget import Widget from kivy.uix.floatlayout import FloatLayout from kivy.properties import * from kivy.event import * from kivy.clock import Clock, mainthread from k...
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import django_tables2 as tables from netbox_ddns.models import ExtraDNSName from utilities.tables import BaseTable, ToggleColumn FORWARD_DNS = """ {% if record.forward_action is not None %} {{ record.get_forward_action_display }}: {{ record.get_forward_rcode_html_display }} {% else %} ...
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""" A Functional Breakfast """ def make_omelette(): print('Mixing the ingredients') print('Pouring the mixture into a frying pan') print('Cooking the first side') print('Flipping it!') print('Cooking the other side') omelette = 'a tasty omelette' return omelette omelette1 = make_omelette()...
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''' Ish Kumar Jain: I ran logistic regression on this dummy data set and got train accuracy = 40% test accuracy = 40% validate accuracy = 60% default learning rate (.13) ''' import numpy as np x_tr = np.array([[1,2,3,4,5],[2,1,4,5,4]]) y_tr = np.array([1,-1,1,1,-1]) x_te = np.array([[4,5,6,7,8],[3,4,5,8,9]]) y_te ...
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import pandas as pd dashboard_df = pd.DataFrame({ 'dashboard': [ 'migration-population', 'gold-reserves', 'google-serp', 'twitterdash', 'trending-twitter', 'us-baby-names', 'advertools', 'boxofficemojo', 'health-spending', 'life-exp', ...
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""" WSGI config for grock project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application from django.conf import settings from w...
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""" # Programa anterior pontos = 0 questao = 1 while questao <= 3: resposta = input("Resposta da questao {} : ".format(questao)) if questao == 1 and resposta == "b": pontos = pontos +1 if questao == 2 and resposta == "a" pontos = pontos + 1 if questao == 3 and resposta == "d" pon...
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# coding:utf-8 import torch ''' 官方文档: torch.transpose(input, dim0, dim1, out=None) → Tensor 函数返回输入矩阵input的转置。交换维度dim0和dim1 参数: input (Tensor) – 输入张量,必填 dim0 (int) – 转置的第一维,默认0,可选 dim1 (int) – 转置的第二维,默认1,可选 ''' # 创造二维数据x,dim=0时候2,dim=1时候3 x = torch.randn(2, 3) # 'x.shape → [2,3]' # 创造三维数据y,dim=0时候2,dim=1时候3,dim=2时候...
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from django.db import models from user.models import models class Category(models.Model): name = models.CharField(max_length=50) class Meta: db_table = 'categories' class Email(models.Model): subject = models.CharField(max_length=100) content = models.TextField() created_a...
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import logging import fingerprints import warnings from pprint import pprint, pformat # noqa from banal import ensure_list, first from followthemoney import model from followthemoney.types import registry from elasticsearch.helpers import scan from aleph.core import es, cache from aleph.model import Entity from aleph...
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# -*- coding: utf-8 -*- # @author Wu Lihua # @email maikekechn@gmail.com from db import *
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import subprocess import socket import sys import time from exec_utilities import time_out_util from config import * my_splitter = '-'.join(['*' for _ in range(20)]) def kill_all(): exec_name_lst = [] for exec_name in exec_name_lst: err_code, output = subprocess.getstatusoutput("ps -ef | grep " + exe...
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from django.conf.urls import include, url from django.contrib import admin from django.views.generic import TemplateView from rest_framework import routers from user_profile.views import UserViewSet router = routers.DefaultRouter() router.register(r'user', UserViewSet,) urlpatterns = [ url(r'^admin/', include(a...
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""" To understand why this file is here, please read: http://cookiecutter-django.readthedocs.io/en/latest/faq.html#why-is-there-a-django-contrib-sites-directory-in-cookiecutter-django """ from django.conf import settings from django.db import migrations def update_site_forward(apps, schema_editor): """Set site d...
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from sqlalchemy import Boolean, Column, ForeignKey, Integer, String from sqlalchemy.orm import relationship from .database import Base class User(Base): __tablename__ = "users" id = Column(Integer, primary_key=True, index=True) email = Column(String(100), unique=True, index=True) hashed_password = Co...
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""" Define strategies for combining evidence into variational distributions. These strategies all subclass `torch.nn.Module`. Their job is to convert parameter values straight out of the encoder into a variational posterior, combining evidence across the different modalities in some way. TO DO ----- * The GaussianPoe...
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play="start" while(play=="start"): print("Multiples of 3 represented by Fizz\nMultiples of 5 represented by Buzz\n") n=input("Enter number limit:") i=1 while(i<=n): if(i%2!=0): if(i%3!=0 and i%5!=0): print "Computer: ",i elif(i%3==0 and i%5==0): ...
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a, op, b = 0, '', 0 while op != '?': a, op, b = input().split() if op == '+': print(int(a) + int(b)) if op == '-': print(int(a) - int(b)) if op == '*': print(int(a) * int(b)) if op == '/': print(int(a) // int(b))
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# Polynomial Regression # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Position_Salaries.csv') X = dataset.iloc[:, 1:2].values y = dataset.iloc[:, 2].values # Splitting the dataset into the Training set and Test set # WE...
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/nba_automation/utilities/CustomListener.py
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from utilities.BrowserManager import BrowserManager from robot.libraries.BuiltIn import BuiltIn from robot.libraries.Screenshot import Screenshot import conf from utilities.CustomUtils import CustomUtils from robot.api import logger class CustomListener(object): ROBOT_LIBRARY_SCOPE = 'TEST SUITE' ROBOT_LISTENE...
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""" Server side of Blue Balls Inc. """ from sys import argv import os import bottle from bottle import get, post, view, static_file, route, redirect, abort, request from couchdbkit import Server import json bottle.debug(True) bottle.reload = True bottle.TEMPLATE_PATH = ["./templates"] root_directory = os.path.dirna...
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# Quetion-8(FILE HANDLING) def occurrence_of_ME_MY(file_name): file = open(file_name, 'r') file_list = file.read().split() count = 0 for i in range(0, len(file_list)): if file_list[i] == 'MY' or file_list[i] == 'ME': count = count + 1 file.close() return count print(occurren...
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import scrapy import json from ..items import BaidupicItem class BaidupicSpider(scrapy.Spider): name = 'baidupicspider' allowed_domains = ['image.baidu.com'] pn = 0 def __init__(self, keywords=None, page=None, *args, **kwargs): super(BaidupicSpider, self).__init__(*args, **kwargs) sel...
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# -*- 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...
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# Invert Binary Tree # Level: Medium # https://www.algoexpert.io/questions/Invert%20Binary%20Tree # Write a function that takes in a Binary Tree and inverts it. In other words, the function should swap every left node # in the tree for its corresponding (mirrored) right node. Each Binary Tree node has a value stored in...
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print('Hello world') print('It's a small world after all')
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from rest_framework import serializers from business.models.reason import Reason class ReasonsListSerializer(serializers.ModelSerializer): """ 原因:增删改查 """ sender = serializers.SerializerMethodField() receiver = serializers.SerializerMethodField() def get_sender(self, obj): ...
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from fastapi import FastAPI, File, UploadFile from pydantic import BaseModel from file_cache import settings try: import asyncio import uvloop asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) except: pass if settings.CACHE == "MEMORY": from file_cache.memory_cache import default_file_path, g...
[ "chise123@live.com" ]
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