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''' A small frog wants to get to the other side of a river. The frog is initially located on one bank of the river (position 0) and wants to get to the opposite bank (position X+1). Leaves fall from a tree onto the surface of the river. You are given an array A consisting of N integers representing the falling leaves....
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#5) Realiza un programa que pida al usuario un nรบmero entero del 0 al 9, y que mientras el nรบmero no sea correcto se repita el proceso. Luego debe comprobar si el nรบmero se encuentra en la lista de nรบmeros y notificarlo: while True: lista = [0,1,2,3,4,5,6,7,8,9] print(lista) val=int(input("ingresa un valor ...
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from rest_framework import viewsets, permissions from .models import Product from .serializers import ProductSerializer class ProductViewSet(viewsets.ModelViewSet): """ This viewset automatically provides `list` and `detail` actions. """ queryset = Product.objects.all() serializer_class = Product...
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from io import BytesIO from PIL import Image from django.core.files import File from django.db import models from vendor.models import Vendor # Create your models here. class Category(models.Model): title = models.CharField(max_length=255) slug = models.SlugField(max_length=255) ordering = models.IntegerF...
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def fat(): n = int(input("Digite o valor de n: ")) fat = 1 i = 2 while i <= n: fat = fat*i i = i + 1 print("O valor de %d! รฉ =" %n, fat) fat()
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import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split from random_forest import * df = pd.read_csv('./wdbc.data', header=None) XX = (df.iloc[:, 2:]).values y = (df.iloc[:, 1] == 'M').values X_train, X_test, y_train, y_test = train_test_split(XX, ...
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width, numPartitions = map(int, input().split()) #include 0 and total width along with intermediate partitions locations = [0] + list(map(int, input().split())) + [width] #form set of possible lengths to return possibleLengths = set() #add all possible differences between any two elements in the list for i in range(...
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# -*- coding: utf-8 -*- # Scrapy settings for first project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/latest/t...
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from math import ceil from sklearn.svm import OneClassSVM from sklearn.model_selection import train_test_split import numpy as np import torch import torch.nn.functional as F from .base import ModelBase from .fc import FC_NET class OCSVM(ModelBase): def __init__(self, **kwargs): super().__init__(**kwarg...
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from app import create_app, db from app.models import Compartment, Enzyme, EvidenceLevel, Mechanism, Metabolite, Model, Organism, Reaction, Reference, \ ReferenceType, EnzymeReactionOrganism, EnzymeReactionActivation, EnzymeReactionEffector, EnzymeReactionMiscInfo, \ EnzymeReactionInhibition, ModelAssumptions f...
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import matplotlib.pyplot as plt import pylab as pl import pickle import csv # id = "LSUV" # accs_epoch_path = id + "/" + "all_cnn_accs_epoch_" + id + ".acc" # losses_epoch_path = id + "/" + "all_cnn_losses_epoch_" + id + ".loss" # val_accs_epoch_path = id + "/" + "all_cnn_val_accs_epoch_" + id + ".acc" # val_losses_ep...
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import torch from torch import nn import torch.utils.data as Data from torch.nn import init import torch.optim as optim torch.manual_seed(1) # ้šๆœบๆ•ฐ็งๅญ num_inputs = 2 num_examples = 1000 true_w = [2, -3.4] true_b = 4.2 features = torch.normal(0, 1, size=(num_examples, num_inputs)) labels = true_w[0] * features[:, 0] + t...
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import matplotlib.pyplot as plt from perceptron import Perceptron from ch02 import x,y ppn=Perceptron(eta=.1,n_iter=10) ppn.fit(x,y) plt.plot(range(1,len(ppn.errors_)+1),ppn.errors_,marker='o') plt.xlabel('Epochs') plt.ylabel('Number of misclassifications') plt.show()
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import mysql.connector from tkinter import * from PIL import ImageTk from tkinter import messagebox, ttk class Login: def __init__(self, root): self.root = root self.root.title("Login") self.root.geometry("1199x600+100+50") self.root.resizable(False, False) se...
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# -*- coding: utf-8 -*- """ Setup file for dicodon_usage. Use setup.cfg to configure your project. This file was generated with PyScaffold 3.2.3. PyScaffold helps you to put up the scaffold of your new Python project. Learn more under: https://pyscaffold.org/ """ import sys from pkg_resources impo...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.7 on 2017-02-19 17:59 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('affiliates', '0001_initial'), ('checkouts', '0004_au...
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from django.shortcuts import render, redirect from django.contrib import messages from .modelsclass import * from bcrypt import * def index(request): return render(request,"index.html") def success(request): if "user_id" not in request.session: return redirect('/') context = { "facebook_...
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#!/home/stephan/dev/btre_project/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from pip._internal.cli.main import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
[ "stephanvanderwalt3@gmail.com" ]
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# This file is generated by /private/var/folders/9m/dy7kzyp50fldn0ydz_9wj8180000gn/T/pip-build-GebRWF/numpy/-c # It contains system_info results at the time of building this package. __all__ = ["get_info","show"] atlas_3_10_blas_info={} atlas_3_10_blas_threads_info={} atlas_threads_info={} blas_opt_info={'extra_link_a...
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""" This file is the framework for generating multiple Streamlit applications through an object oriented framework. """ # Import necessary libraries import streamlit as st # Define the multipage class to manage the multiple apps in our program class MultiPage: """Framework for combining multiple streamlit ap...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.FileItem import FileItem from alipay.aop.api.constant.ParamConstants import * class AlipayEbppPdeductSignAddRequest(object): def __init__(self, biz_model=None): self._biz_model = biz_model self._agent_channel = None ...
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import json import sys import pylab if len(sys.argv) > 1: fname = sys.argv[1] else: fname = 'results.json' with open(fname) as f: results = json.load(f) x = [] Z = [] for row in results['configuration']: # APY # liq_density x.append(row['gamma']) # Z.append(row['Result']['APY']) Z.ap...
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""" Django settings for QAsite project. Generated by 'django-admin startproject' using Django 3.0. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os # Bu...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import argparse import numpy as np import matplotlib.pyplot as plt import torch import torch.nn as nn from dataset import TestDataset from driver import Evaluater from unet import StackedUNet from head_net import HeatmapNet, ObjectSizeNet, DepthNet, YawNet, PitchNet, Roll...
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import sys class AlchemicalReduction: def __init__(self, path): with open(path) as f: content = f.readlines() self.content = [x.strip() for x in content] sys.setrecursionlimit(50000) def _is_match(self, two_letters): first = two_letters[0] second = two_lett...
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# Copyright 2014 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. """ From a system-installed copy of the toolchain, packages all the required bits into a .zip file. It assumes default install locations for tools, in parti...
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#!/Users/hiro99ishikawa/Dropbox/school_projects/6spring2017/175/project/experiment/spacy_tutorial/venv/bin/python3 # EASY-INSTALL-ENTRY-SCRIPT: 'ftfy==4.4.2','console_scripts','ftfy' __requires__ = 'ftfy==4.4.2' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] ...
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import sys A = [64, 25, 12, 22, 11] for i in range(len(A)): min_idx = i for j in range(i+1, len(A)): if A[min_idx] > A[j]: min_idx = j A[i], A[min_idx] = A[min_idx], A[i] print ("Sorted array") for i in range(len(A)): print("%d" %A[i]),
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from asynctest import TestCase as AsyncTestCase, mock as async_mock from ...config.injection_context import InjectionContext from ...utils.classloader import ClassLoader from ..plugin_registry import PluginRegistry class TestPluginRegistry(AsyncTestCase): def setUp(self): self.registry = PluginRegistry(...
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#! /usr/bin/python # # Qt example for VLC Python bindings # Copyright (C) 2009-2010 the VideoLAN team # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at...
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""" Naive Bayes: En un sentido amplio, los modelos de Naive Bayes son una clase especial de algoritmos de clasificaciรณn de Aprendizaje Automatico, o Machine Learning, tal y como nos referiremos de ahora en adelante. Se basan en una tรฉcnica de clasificaciรณn estadรญstica llamada โ€œteorema de Bayesโ€. Ahora ahora antes de ...
[ "angelsosagonz@gmail.com" ]
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class Solution(object): def firstMissingPositive(self, nums): i = 0 nums = [0] + nums for i in range(len(nums)): while nums[i]>=0 and nums[i]<len(nums) and nums[nums[i]]!=nums[i]: nums[nums[i]],nums[i] = nums[i],nums[nums[i]] num = 1 for i ...
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#!/usr/bin/env python3 # -*- config: utf-8 -*- from tkinter import * def rem(): global l1_flag if l1_flag == 1: l1.grid_remove() l1_flag = 0 else: l1.grid() l1_flag = 1 def forg(): global l2_flag if l2_flag == 1: l2.grid_forget() l2_flag = 0 e...
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""" WSGI config for book_liveblog 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/1.8/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO...
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# A = Total Accrued Amount (principal + interest) # P = Principal Amount # I = Interest Amount # r = Rate of Interest per year in decimal; r = R/100 # R = Rate of Interest per year as a percent; R = r * 100 # t = Time Period involved in months or years # Equation: # A = P(1 + rt) P = int(input("Enter Amount : ")) R = ...
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import pandas as pd import matplotlib.pyplot as plt import numpy as np from sklearn import cross_validation from sklearn.preprocessing import Imputer,StandardScaler df= pd.read_csv('breast-cancer-wisconsin.data.txt',na_values=["?"]) imr = Imputer(missing_values='NaN', strategy='median', axis=0,copy=False) ...
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from arouse._dj.db.models.sql import compiler class SQLCompiler(compiler.SQLCompiler): def as_sql(self, with_limits=True, with_col_aliases=False, subquery=False): """ Creates the SQL for this query. Returns the SQL string and list of parameters. This is overridden from the original Query ...
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from django.conf.urls.i18n import is_language_prefix_patterns_used from django.middleware.locale import LocaleMiddleware from django.utils import translation from clock.profiles.models import UserProfile class LocaleMiddlewareExtended(LocaleMiddleware): """This middleware extends Djangos normal LocaleMiddleware ...
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s = input() for i in range(26): if s.count(chr(ord("a") + i)) == 0: print(chr(ord("a") + i)) exit() print("None")
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def convert_ms(): millis = input("Enter time in milliseconds: ") millis = int(millis) seconds = (millis/1000)%60 seconds = int(seconds) minutes = (millis/(1000*60))%60 minutes = int(minutes) hours = (millis/(1000*60*60))%24 print ("%d:%d:%d" % (hours, minutes, seconds)) convert_ms()
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import tkinter import math def pierwiastkuj(): liczba = int(pole.get()) pierwiastek = math.sqrt(liczba) wynik.configure(text=pierwiastek) root = tkinter.Tk() label = tkinter.Label(master=root, text='Wpisz liczbฤ™: ') label.grid(row=1, column=1) pole = tkinter.Entry(master=root) pole.grid(row=1, column=2) b...
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import csv import string import copy flight = [] result = [] turnTime = 30 #depends on Aircraft Type -- A319 = 30 mins AircraftType = [] Max_AirType = [] ErrorFlight = [] def readToArray(file): lines = [] for line in file.xreadlines(): lines.append(string.split(line, ',')) return lines def convertToMin(timeStri...
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import sys import os sys.path.append(os.environ['HELLOSAYER_PYTHON_PATH']) def header(msg, width=100, char='-'): print('\n'+f' {msg} '.center(width, char)+'\n') wd = 100 header('HelloSayerLibPythonTests.py trying to load HelloSayerLib') header('Using directory specified with system env var \'HELLOSAYER_PYTHON_P...
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import sys import json from helper import * from board import Board from car import Car VALID_CAR_NAMES = ["Y", "B", "O", "W", "G", "R"] VALID_CAR_LEN = [2, 3, 4] VALID_CAR_ORIENTATION = [0, 1] VALID_CAR_MOVEMENTS = ["u", "d", "r", "l"] class Game: """ A class of objects of "rush hour" game. each game ah...
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# Copyright 2017 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 applica...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Jul 3 13:33:16 2019 @author: gabriel """ import CustomTree as ct import numpy as np from matplotlib import cm as cm import matplotlib.pyplot as plt from sklearn.tree import DecisionTreeClassifier import blackBoxClasses as bb ## Latex Font ## from ma...
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#! /usr/bin/env python def year_or_work(str_arg): world(str_arg) print('number') def world(str_arg): print(str_arg) if __name__ == '__main__': year_or_work('come_child')
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from __future__ import print_function __author__ = "Gabriel Antonius, Samuel Ponce" import os import warnings import numpy as np from numpy import zeros import netCDF4 as nc from .mpi import MPI, comm, size, rank, mpi_watch from .constants import tol5, tol6, me_amu, kb_HaK from .functions import get_bose from . i...
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import os os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tango_with_django_project.settings') import django django.setup() from rango.models import Category, Page def populate(): # First, we will create lists of dictionaries containing the pages # we want to add into each category. ...
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import nltk import nltk.data from nltk import word_tokenize, pos_tag, ne_chunk import os import os.path import urllib2 from fuzzywuzzy import process from fuzzywuzzy import fuzz import re headline=raw_input("Enter the news headline: ") terms=['Avalanches','Landslides','Earthquakes','Sinkholes','Volcanic eruptions','Vo...
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import pickle import gzip import numpy import matplotlib.pyplot as plt #f = gzip.open('../train-images-idx3-ubyte.gz', 'rb') f = gzip.open('../data/mnist.pkl.gz', 'rb') u = pickle._Unpickler(f) u.encoding = 'latin1' training_data, validation_data, test_data = u.load() #training_data= u.load() #print(training_data) pr...
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import hashlib from pingpp.error import APIError BLACKLISTED_DIGESTS = [ '05c0b3643694470a888c6e7feb5c9e24e823dc531', '5b7dc7fbc98d78bf76d4d4fa6f597a0c901fad5c' ] def verify(certificate): """Verifies a PEM encoded certificate against a blacklist of known revoked fingerprints. re...
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import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D h = 0.00001 r=8 m=5 pos = [[0],[-r],[0]] velocidad = [[4],[0],[0]] a = [0,2] tiempo = 20 pt = np.arange(0, tiempo, h) for i in pt: x = pos[0][-1] y = pos[1][-1] pos[0].append(x + velocidad[0][-1]*h) pos[1].appe...
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# Generated by Django 3.0.4 on 2021-11-22 15:09 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app_employment', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='vacancy', options={'permissions': (('...
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import matplotlib.pyplot as plt import os if not os.path.isdir('graphs'): os.mkdir('graphs') logs_dirs = os.listdir('logs') x = [] time = [] inq_find_sc = [] collision = [] inq_energy = [] sc_energy = [] for index, log_dir in enumerate(logs_dirs): file = open('logs/' + log_dir + '/bluetooth0.log') lin...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'connect.ui', # licensing of 'connect.ui' applies. # # Created: Wed Aug 28 17:40:14 2019 # by: pyside2-uic running on PySide2 5.11.2 # # WARNING! All changes made in this file will be lost! from PySide2 import QtCore, QtGui, QtWidgets ...
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# -*- coding: utf-8 -*- """ Created on Tue Dec 26 16:40:25 2017 @author: lee """ import torch.nn as nn import torch.nn.functional as F import math import torch def conv3x3(in_planes, out_planes): """3x3 convolution with padding""" return nn.Conv2d(in_planes, out_planes, kernel_size=3, padd...
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# %% [242. *Valid Anagram](https://leetcode.com/problems/valid-anagram/) # ๅ•้กŒ๏ผš2ใคใฎๆ–‡ๅญ—ๅˆ—ใŒใ‚ขใƒŠใ‚ฐใƒฉใƒ ใ‹ใฉใ†ใ‹ใ‚’่ฟ”ใ™ # ่งฃๆณ•๏ผšcollections.Counterใ‚’็”จใ„ใ‚‹ class Solution: def isAnagram(self, s: str, t: str) -> bool: return collections.Counter(s) == collections.Counter(t)
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#!/usr/bin/env python # coding: utf-8 # In[257]: #get_ipython().run_line_magic('matplotlib', 'inline') import numpy as np from matplotlib import pyplot as plt from scipy import stats from scipy.optimize import curve_fit # ### Review Exercise 1: Curve Fitting # In[256]: data= np.array(np.loadtxt("sample_data/sig...
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# encoding: utf-8 import os import pymysql DEBUG = True SECRET_KEY = os.urandom(24) #ๆ•ฐๆฎๅบ“้…็ฝฎ HOSTNAME = '127.0.0.1' PORT = '3306' DATABASE = 'movie' USERNAME = 'root' PASSWORD = '123456' DB_URI = 'mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8'.format(USERNAME, ...
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logo = ''' _____ _ _ _ _ _ _ / ____| | | | | | \ | | | | | | | | __ _ _ ___ ___ ___ | |_| |__ ___ | \| |_ _ _ __ ___ | |__ ___ _ __| | | | |_ | | | |/ _ \/ __/ __| | __| '_ \ /...
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#without list compr print("without list compr") ch=[] for i in "welcome": ch.append(i) print(ch) print("\n") print("with list compr") ch1=[i for i in "welcome"] print(ch)
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#!/usr/bin/python # -*- coding: utf-8 -*- import planlist from client import ZkClient, RedisClient from operation import ZkOperate, RedisOperate, FileOperate import config if __name__ == "__main__": TMP = config.configs['tmp_dir'] zk = ZkClient().get_client() redis = RedisClient().get_redisclient() red...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.14 on 2018-08-29 00:10 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('ontask', '0032_auto_20180829_0939'), ] operations = [ migrations.AlterUniqueTogeth...
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# Generated by Django 3.0.3 on 2020-02-28 15:11 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0002_auto_20200228_1558'), ] operations = [ migrations.RemoveField( model_name='booking', name='room', ...
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d=256 def search(pat,txt,q): m=len(pat) n=len(txt) i=0 j=0 p=0 t=0 h=1 for i in range(m-1): h=(h*d)%q for i in range(m): p = (d * p + ord(pat[i]))% q t = (d * t + ord(txt[i]))% q for i in range(n-m+1): if p==t: ...
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from xai.brain.wordbase.verbs._twin import _TWIN #calss header class _TWINNED(_TWIN, ): def __init__(self,): _TWIN.__init__(self) self.name = "TWINNED" self.specie = 'verbs' self.basic = "twin" self.jsondata = {}
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import re # re.compile('\\white')#\white pat = re.compile('Java|Python') res=pat.match('Python') print(res) res=pat.match('Java') print(res) res=pat.match('PythonJava') print(res) res=pat.match('PythonRuby') print(res) res=pat.match('RubyPython') print(res) print(re.search('How','How are you')) print(re.search('are','...
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from operator import add from numpy import subtract from PIL import Image, ImageMath def merge(name_img1, name_img2, position_wrt_img1=(0, 0)): """ Merges two images. Currently, works for -ve position too :param name_img1: Image 1 :param name_img2: Image 2 :param position_wrt_img1: Merging w.r.t....
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import random def roll_dice(): dice_total = random.randint(1,6) + random.randint(1,6) return dice_total player1 = input("Enter player 1's name: ") player2 = input("Enter player 2's name: ") roll1 = roll_dice() roll2 = roll_dice() print(player1, 'rolled', roll1) print(player2, 'rolled', roll2) if roll1 == r...
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import numpy as np import torch from scipy.spatial.distance import cdist from math import isinf try: import gcp.evaluation.cutils as cutils except: pass def dtw_dist(x, y, dist=None, warp=1, w=np.inf, s=1.0): """ Computes Dynamic Time Warping (DTW) of two sequences. :param array x: N1*M array ...
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#!/home/raphael/Documents/Python_Programs/Data_Scientist_Course/finding_donors/ENV/bin/python2 # See http://cens.ioc.ee/projects/f2py2e/ from __future__ import division, print_function import os import sys for mode in ["g3-numpy", "2e-numeric", "2e-numarray", "2e-numpy"]: try: i = sys.argv.index("--" + mod...
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"""test hybrid construction""" import logging logging.basicConfig(level=logging.INFO) import time import numpy as np import matplotlib as mpl mpl.use('Agg') from tulip import abstract, hybrid from polytope import box2poly input_bound = 0.4 uncertainty = 0.05 cont_state_space = box2poly([[0., 3.], [0., 2.]]) cont_...
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from flask import ( Blueprint, flash, g, redirect, render_template, request, url_for ) from shortist.auth import login_required from shortist.db import get_db """ The admin panel that allows viewing all registered links. """ bp = Blueprint('admin', __name__, url_prefix='/admin') @bp.route('/') @login_required d...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "Sidama.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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#Gui Imports from Modules.AppLogging import Logging Logging("MAINIMPORTS").info("Loading Dependencies") from kivy.core.clipboard import Clipboard from kivymd.toast import toast from kivymd.app import MDApp from kivy.metrics import dp from kivy.lang import Builder from kivy.clock import Clock from kivy.animation import ...
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''' Created on 17 may. 2017 @author: Frank ''' from django.conf.urls import url from restapi.views import EmpleadoViewSet urlpatterns = [ url(r'^empleado/(?P<pk>\d+)/', EmpleadoViewSet.as_view()), url(r'^empleado/', EmpleadoViewSet.as_view()), ]
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class Auther(models.Model): nid = models.AutoField(primary_key=True) name= models.CharField(max_length=32) age=models.IntegerField() authorinfo=models.OneToOneField(to="Auther_info",on_delete=models.CASCADE) def __str__(self): return (self.name) class Auther_info(models.Model): nid = m...
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count = int(input()) start_point = 1 joined_number = [] joined_string = '' for i in range(count): for number in range(start_point, start_point + 3): joined_number.append(number) joined_number.append('PUM') joined_string = ' '.join(map(str, joined_number)) print(joined_string) joined_number....
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def toyou(x): return "hi %s" % x def add(x): return x + 1 def subtract(x): return x - 1
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# Generated by Django 3.2 on 2021-04-11 13:53 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('main', '0003_auto_20210411...
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import gensim, os, numpy, mpld3, pandas as pd, matplotlib.pyplot as plt from sklearn.manifold import TSNE def main(): with open('corpus.txt', 'r') as f: # do some pre-processing and return list of words for each title for i, line in enumerate(f): yield gensim.utils.simple_preprocess(lin...
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from django.urls import path from . import views urlpatterns = [ path('', views.upload_file, name='index'), ]
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def multiplicationTable(n): return [[(x+1)*(y+1) for x in range(n)] for y in range(n)]
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# import the code to be tested from sleep_in import sleep_in def describe_the_sleep_in_function(): def it_lets_us_know_if_we_can_sleep_in_or_not(): # should return True because we are on vacation is_weekday = True is_on_vacation = True assert sleep_in(is_weekday, is_on_vacation...
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#!/usr/bin/python # quick and dirty PDB reader def read_pdb( filename ): coords = {} pdb_lines = {} sequence = {} for line in open( filename ): if (len(line)>54 and (line[0:4] == 'ATOM' or line[0:4] == 'HETA' ) ): resnum = int( line[22:26] ) chain = line[21] ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'ipetrash' import requests from bs4 import BeautifulSoup def get_populations(url: str) -> dict: rs = requests.get(url) root = BeautifulSoup(rs.content, 'html.parser') # P1082 -- ะธะดะตะฝั‚ะธั„ะธะบะฐั‚ะพั€ ะดะปั population population_node = root.select_o...
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from Graphs import graph time = 0 def main(): G = initialize() vertexSet = G.getVertices() def initialize(): G = graph.Graph() with open('input.txt', 'r') as file: for line in file: edge = line.strip().split(",") G.addEdge(edge[0], edge[1]) return G def dfs(G...
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# -*- encoding: utf-8 -*- TEMPLATE_html = """ <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <title>ๅŠŸ่ƒฝๅˆ—่กจ</title> </head> <body> <p><a href="${domain_result}" target="ma...
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# Copyright 2015 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Module containing the generic builders.""" from __future__ import print_function import multiprocessing import os import sys import tempfile import t...
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from time import sleep from selenium.webdriver.common import desired_capabilities from selenium.webdriver.common.desired_capabilities import DesiredCapabilities from selenium import webdriver sleep(5) driver = webdriver.Remote('http://selenium:4444/wd/hub', desired_capabilities=DesiredCapabi...
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import cv2 import os def assure_path_exists(path): dir = os.path.dirname(path) if not os.path.exists(dir): os.makedirs(dir) # Start capturing video vid_cam = cv2.VideoCapture(0) # Detect object in video stream using Haarcascade Frontal Face face_detector = cv2.CascadeClassifier('haarcascade_frontalfa...
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