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import requests from bs4 import BeautifulSoup from collections import deque import pandas as pd import numpy as np class YahooWebScrapeInstance: """ An Instance of a webscrape of recent prices of a given stock symbol Ex: YahooWebScrapeInstance('ISRG') """ def __init__(self, stock_symbol): ...
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import random as r while round < 10: ticker = 0 while count < 10 x = randint(0,1) if x == 1: ticker += 1 count += 1 ticker += 1
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import pandas as pd class Conversion(object): df = pd.DataFrame() # dp = () @staticmethod def dp_create() -> (): # 여기서 프로퍼티(self)를 사용하지 않는다 -> 객체 메소드가 아닌 staticmethod return (1, 2, 3, 4, 5, 6, 7, 8, 9) @staticmethod def dp_to_list(dp) -> []: return list(dp) @stat...
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import random def guess_number(low=0, high=100): guess = random.randint(low, high) print('Is your number %s' % guess) user_input = input('> ') if user_input == 'correct': pass elif user_input == 'higher': guess_number(low=guess, high=high) elif user_input == 'lower': gu...
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"""http://hibari1121.blog.fc2.com/blog-entry-57.html .""" from gensim import corpora, models import numpy as np from numpy import random random.seed(555) from scipy.cluster.vq import vq, kmeans, whiten from sklearn.decomposition import TruncatedSVD from collections import defaultdict article = open('data.txt') model...
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from mp.align_rotation import roll_and_pitch_aligned, get_yaw_diff from .base_states import * from .state_machine import State import numpy as np class CenteringPrimitiveState(State): """ This class implements a primitive state to center the object in the robotic arena. """ def __init__(self, env)...
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#import matplotlib.pyplot as plt import numpy as np import tensorflow as tf from math import sin, cos, sqrt, pi, floor, ceil, exp, log from keras import backend as K ######################################################## # Definition der SDE_VAE class SDE_Variational_Autoencoder(tf.keras.Model): def __init__(s...
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#!/bin/python """ Write a function for reversing a linked list ↴ . Do it in-place ↴ . Your function will have one input: the head of the list. Your function should return the new head of the list. """ class LinkedListNode: def __init__(self, value): self.value = value self.next = None def __...
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def find_root(root,x): if(root[x]!=x): root[x]=find_root(root,root[x]) return root[x] def union(root,a,b): a=find_root(root,a) b=find_root(root,b) if(a<b): root[b]=a else: root[a]=b g=int(input()) p=int(input()) root=[0]*(g+1) for i in range(1,g+1): root[i]=i cnt=0...
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# Copyright 2020 The dm_control Authors. # # 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 i...
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from .traversable import Traversable from typing import Generic, TypeVar, Callable, Any, List from .functor import Functor from .applicative import Applicative from .utils import foldl, foldr, Arrow S = TypeVar("S") T = TypeVar("T") def rec(ma: List[S], b: T, f: Callable[[S, T], T]) -> T: return foldr(f, b, ma...
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# -*- coding: utf-8 -*- from __future__ import division d=input('digite um numero na base decimal:') cont=0 k=d while k>0: k=k//2 cont+=1 n=cont i=0 soma=0 r=d while i<=(n-1): r=d%2 d=d//d b=r*(10**i) i+=1 soma=soma+b print soma
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# -*- coding: utf-8 -*- from __future__ import unicode_literals import plotly.offline as plotly import plotly.graph_objs as go from reports import utils def diaperchange_lifetimes(changes): """ Create a graph showing how long diapers last (time between changes). :param changes: a QuerySet of Diaper Chan...
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from django.db import models class Note(models.Model): subject = models.CharField(max_length=200) def __str__(self): return self.subject
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""" Django settings for codeSnippets project. Generated by 'django-admin startproject' using Django 1.10. For more information on this file, see https://docs.djangoproject.com/en/1.10/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.10/ref/settings/ """ import...
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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "asan": 0, "build_v8_with_gn": "false", "coverage": "false", "dcheck_al...
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import requests from config.load_config import get_config_wires_plat_settings import logging logging.basicConfig(level=logging.INFO) _get_config_wires_plat_settings = get_config_wires_plat_settings() class WiresPlatApi: @staticmethod def get_token(host, **kwargs): port = kwargs.get('port') or 1414 ...
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import json from pprint import pprint with open('estoque.json', 'r') as arquivo: dicionario = json.loads(arquivo.read()) loja = input("Digite o nome da loja ") print("0 - sair\n1 - adicionar item\n2 - remover item\n3 - alterar item\n4 - imprimir estoque\n5 - listar estoques faltando\n6 - imprimir valor...
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TRAINING_DATA = "../input/train_s3TEQDk.csv" TEST_DATA = "../input/test_mSzZ8RL.csv" SAMPLE_SUBMISSION = "../input/sample_submission_eyYijxG.csv" TOTAL = "../input/total.csv" TRAIN_PRED = "../model_preds/train_pred_df.csv" TEST_PRED= "../model_preds/test_pred_df.csv" OUTPUT = "../output/final_sub.csv" TRAIN_DROP =...
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# import gqt __version__ = "1.1.3"
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from clustering.metrics.metric import Metric from clustering.cube_classifiers.probability_cube_classifier import RARE, OUTLIER, BORDERLINE, SAFE from sklearn import metrics from numpy import roots class GMeanMetric(Metric): def __init__(self, pred, real): self.predicted_types = pred self.true_type...
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from mymodule import generate_full_name as fullname, sum_two_nums as total, person as p, gravity as g print(fullname('Asabneh','Yetayeh')) print(total(1, 9)) mass = 100; weight = mass * g print(weight) print(p) print(p['firstname'])
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import pandas as pd import os import cv2 import numpy as np os.cur full_path_to_ts_dataset = 'C:\\Users\\Lolimpo\\Desktop\\dataset' # Считываем всю информацию о дата-сете ann1 = pd.read_csv(full_path_to_ts_dataset + '\\' + 'rtsd-d1-gt\\danger\\test_gt.csv') ann2 = pd.read_csv(full_path_to_ts_dataset + '\\' + 'rtsd-d1...
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# 2015.11.10 21:36:26 Střední Evropa (běžný čas) # Embedded file name: scripts/common/Lib/idlelib/idle_test/test_pathbrowser.py import unittest import idlelib.PathBrowser as PathBrowser class PathBrowserTest(unittest.TestCase): def test_DirBrowserTreeItem(self): d = PathBrowser.DirBrowserTreeItem('') ...
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# a simple digital stopwatch that keeps track of the time in tenths of a second. # The stopwatch contains "Start", "Stop" and "Reset" buttons. It has two numerical # counters that keep track of the number of times that you have stopped the watch # and how many times you manage to stop the watch on a whole second ...
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""" WSGI config for Respond 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/1.11/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETT...
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import numpy as np import torch import torch.nn as nn from torch.autograd import Variable from util.distance import distance def pairwise_loss(output, label, alpha=1.0, class_num=1.0, l_threshold=15.0): '''https://github.com/thuml/HashNet/issues/27#issuecomment-494265209''' bits = output.shape[1] similari...
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from datetime import datetime import json import logging import os import sys import ConfigParser from urlparse import urlparse import ccnet import seafile import re from pysearpc import SearpcError _DEBUG = 'SEAFILE_DEBUG' in os.environ ENVIRONMENT_VARIABLES = ('CCNET_CONF_DIR', 'SEAFILE_CONF_DIR') # Used to fix b...
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import os import sys import torch from torch import nn import numpy as np class self_attention(nn.Module): def __init__(self,in_channel,n_head,d_k,d_v): super(self_attention,self).__init__() self.n_head=n_head self.d_k = d_k self.d_v = d_v self.W_dict = nn.ModuleDict({...
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# -*- coding: utf-8 -*- import time import scrapy from selenium import webdriver from selenium.webdriver.common.keys import Keys from settings import domain, url class CompParserSpider(scrapy.Spider): name = 'comp_parser' allowed_domains = domain start_urls = url price_dict = {} def parse(self...
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username = "thatOneGuy" password = "correcthorsebatterystaple"
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import unittest import my_driver import locators import test_data class BookmarksTests(unittest.TestCase): @classmethod def setUpClass(cls): desired_caps = {'platformName': 'Android', 'platformVersion': '6.0.1', 'deviceName': 'Xiaomi Redmi 4X', 'appActivity': 'by.onliner.ab.act...
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from bom.models import Part, PartClass, Seller, SellerPart, Subpart, \ Manufacturer, Organization, ManufacturerPart, PartChangeHistory, Assembly def create_a_fake_organization(user, free=False): org = Organization( name="Atlas", subscription='F' if free else 'P', owner=user) org.sa...
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from django.shortcuts import render def home(request): return render(request,'temphtml.html') def solve1(request): val1 = float(request.POST['num1']) val2 = float(request.POST['num2']) op = request.POST['op'] if(op=='+'): ans = val1+val2 return render(request,'temphtml.html',{'res':ans}) elif(op=='-'): a...
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# coding: utf-8 from __future__ import division from flask import render_template, Blueprint, g from ..models import User, CollectWork, CollectWorkImage, Work, WorkImage, WorkReview from ..utils import check_is_me from ..permissions import user_permission bp = Blueprint('user', __name__) @bp.route('/<user_...
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# -*- coding: utf-8 -*- """ This module holds functions for displaying different kinds of menus. All menus are reaction based. """ import asyncio from copy import copy from typing import List, Optional, Union import discord from discord import Embed from discord.ext import commands from discord.ext.commands import C...
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class Person: # __ is for encalpusaltion def __init__(self, person_name: str, date_of_birth, height : int =120): self.__name = person_name self.__date_of_birth = date_of_birth self.__height = height def getName(self): return self.__name def setName(self, updat...
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import xml.etree.ElementTree as XML def bitbucket_publisher(parser, xml_parent, data): """yaml: bitbucket Example:: publishers: - bitbucket: notify-start: true notify-finish: true override-latest-build: false credentials-id: <optional> ...
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import collections, json, io, gzip, statistics, time, base64, posixpath, pickle from osgeo import ogr import boto3, botocore.exceptions from . import prepare_state, score, data ogr.UseExceptions() FUNCTION_NAME = 'PlanScore-RunDistrict' class Partial: ''' Partially-calculated district sums, used by consume_tiles...
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# Step 2 '''Extracts the demographic information from the CSV for all the patients who had at least one encounter in the Yale Healthcare system''' import csv import json import math patient_to_demographics = {} demographics_to_patient = {} races = set() sexes = set() ages = set() # Groups the ages into decades of ...
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# -*- coding: utf-8 -*- # @Author : LG """ 执行用时:32 ms, 在所有 Python3 提交中击败了96.39% 的用户 内存消耗:13.3 MB, 在所有 Python3 提交中击败了73.72% 的用户 解题思路: 见代码注释 """ class Solution: def lengthOfLastWord(self, s: str) -> int: s = s.rstrip(' ') # 去除右侧空格 words = s.split(' ') # 以空格划开单词 return len(words[-1]...
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import time import socket def rec_UDP(): UDP_PORT = 8810 UDP_IP = "0.0.0.0" sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sock.bind((UDP_IP, UDP_PORT)) data = "".encode() counter = 0 #while (data.decode())!="FINISH!": while (counter<100): data, addr = sock.recvfrom(1024...
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import matplotlib.pyplot as plt import tensorflow as tf # import numpy as np from sklearn.model_selection import train_test_split from generate_data import * if __name__ == '__main__': # Number of row per class row_per_class = 200 # Number of hidden neur nb_hidden_neur = 3 # Gene...
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#coding:utf-8 import sys pre_product_no = "" pre_lac_id = "" pre_start_time = "" pre_staytime = 0 pre_moment = "" pre_user_id = "" pre_country_id = "" pre_city_id = "" def process(line): global pre_product_no global pre_lac_id global pre_row_list global pre_staytime global pre_moment global pre_user_id...
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"""empty message Revision ID: fc5a80c372d5 Revises: 13a457bafd6b Create Date: 2021-07-03 21:43:33.603249 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'fc5a80c372d5' down_revision = '13a457bafd6b' branch_labels = None depends_on = None def upgrade(): # ...
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# Generated by the protocol buffer compiler. DO NOT EDIT! # source: platform.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _refl...
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from openerp.osv import fields, osv from openerp.tools.translate import _ import datetime from openerp import tools import time from datetime import date, timedelta class yacht_config(osv.osv): def _show_bookings(self, cr, uid, ids, name, args, context=None): res = {} c_ids = self.pool.get('booking.yachts').sear...
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def main(): buf = input() s = buf characters = [] for i in s: if not i in characters: characters.append(i) min_iter_count = 999 for i in characters: iter_count = 0 t = s while True: flag = False new_t = "" ...
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#Asynchronous request-reply model with semantics at most once and load balancing service #Angelis Marios-2406 import socket from socket import AF_INET, SOCK_DGRAM import pickle import threading import time import random import struct lock = threading.Lock() sender_list=[] receiver_list=[] reply_list=[] sequence_number_...
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import numpy as np import matplotlib.pyplot as plt import os, time import random import glob import cv2 from sklearn.preprocessing import LabelBinarizer from sklearn.cross_validation import train_test_split import keras from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from ...
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#-*- coding: utf-8 -*- from django import forms from django.utils import timezone from django.contrib.auth.models import User class LoginForm(forms.Form): username = forms.CharField() password = forms.CharField(widget = forms.PasswordInput) def __init__(self, *args, **kwargs): super(LoginForm, self).__init__(*arg...
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import sys import pandas as pd import numpy as np import nltk import re import pickle from sqlalchemy import create_engine nltk.download(['wordnet', 'punkt']) from nltk.tokenize import word_tokenize from nltk.stem import WordNetLemmatizer from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.feature_extracti...
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import sys counts = {} if len(sys.argv) > 1: file_in = sys.argv[1] with open(file_in) as fi: for line in fi: fields = line.strip().split("\t") key = "\t".join(fields[0:2]) counts[key] = counts.get(key, 0) + int(fields[-1]) else: for line in sys.stdin: ...
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#!/usr/bin/python import unittest from mock import patch, MagicMock, PropertyMock from monitor import Monitor class MonitorUpdateTest(unittest.TestCase): def setUp(self): with patch('monitor.pv.PV'): mock_plotter = MagicMock() self.monitor = Monitor("MYNAME", mock_plotter) ...
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import tkinter as tki import tkinter.font as tkf import tkinter.ttk as ttk import client.asset.font as fontMod import client.frame.base as baseMod import client.frame.stack as stackMod import client.client as clientMod class CreateRoom(baseMod.IBase): def __init__(self, stackFrame: stackMod.FrameStack, client: cli...
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""" Deep Regret Analytic Generative Adversarial Networks """ import datetime import os import numpy as np import tensorflow as tf from .base import GANModel from .blocks import BasicGenerator, BasicDiscriminator from ..ops import dragan_perturb from ..train import IncrementalAverage class DRAGAN(GANModel): def...
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"""This module contains a collection of classes that implement Tornado async actions against CouchDB. """ import httplib import json import logging import urllib import tornado.httputil import tornado.httpclient import tamper _logger = logging.getLogger("async_actions.%s" % __name__) """```database``` points to a ...
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from twisted.trial import unittest from ometa.runtime import ParseError from terml.nodes import Tag, Term, coerceToTerm, TermMaker from terml.parser import TermLParser, character, parseTerm class TermMakerTests(unittest.TestCase): def test_make(self): m = TermMaker() t1 = m.Foo(1, 'a', m.Baz()) ...
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class Solution(object): def swapPairs(self, head): if head==None or head.next==None: return head next = head.next head.next = self.swapPairs(next.next) next.next = head return next
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#_*_coding:utf-8_*_ #author:tiantian import requests class youdao_date(): def __init__(self,parm): self.form_data = {} self.form_data['type'] = 'AUTO' self.form_data['i'] = parm self.form_data['doctype'] = 'json' self.form_data['keyfrom'] = 'fanyi.web' self.form_data[...
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from display import * from draw import * screen = new_screen() color = [ 0, 255, 0 ] matrix = [] #octant I # add_edge(matrix, 0, 0, 0, XRES - 1, YRES - 75, 0 ) # add_edge(matrix, 0, 0, 0, XRES - 75, YRES - 1, 0 ) # add_edge(matrix, 0, YRES - 1, 0, XRES - 1, 75, 0 ) # add_edge(matrix, 0, YRES - 1, 0, XRES - 75, 0, 0 ...
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def formatResult(var1,var2,operator,result): return f"{var1}{operator}{var2}={result}"
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# Class class Cat: def __init__(self, color, legs): self.color = color self.legs = legs felix = Cat('ginger', 4) print(felix.color) rover = Cat('dog-colored', 4) stumpy = Cat('brown', 3) class Student: def __init__(self, name): self.name = name test = Student('Bob') print(test.name) class Dog: def __init__(s...
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"""Tests template/linker/blocks.py""" from templar.linker import link from templar.linker import get_block_dict from templar.linker import Block from templar.linker import SourceNotFound from templar.linker import InvalidBlockName from templar.linker import IncludeNonExistentBlock from templar.linker import CyclicalIn...
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[{'word': 'ALLOWED_HOSTS', 'menu': '[I]', 'kind': 'v', 'abbr': 'ALLOWED_HOSTS = []'}, {'word': 'BASE_DIR', 'menu': '[I]', 'kind': 'v', 'abbr': 'BASE_DIR = os.path.dirname(os.path.dirname(__file__))'}, {'word': 'DATABASES', 'menu': '[I]', 'kind': 'v', 'abbr': 'DATABASES = {'}, {'word': 'DEBUG', 'menu': '[I]', 'kind': 'v...
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from collections import defaultdict class LFUNode: def __init__(self,key,value): self.key = key self.value = value self.frequency = 0 class LFUCache: def __init__(self, capacity: int): self.capacity = capacity self. minfrequency = 0 self.keynodedict = defaultdic...
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""" Problem 6 of project Euler """ def diference_squares(num): ra = range(num + 1) sum_squares = 0 sum_squared = 0 for i in ra: sum_squared += i sum_squares += (i **2) sum_squared **= 2 dif = sum_squared - sum_squares return dif print diference_squares(100)
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import tkinter as tk from tkinter import * import random # Not: matris yamuk gibi gözükebilir gemileri str tanımladığım için öyle gözüküyor indisleri sayarsanız yamuk değil oyun = 1 while (oyun == 1): print("Amiral battı oyununa hoşgeldiniz :)") secim = int(input("\nGizli modda oyun oynamak için 1'...
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# Linked list with Node/LinkedList classes class Node(object): """Node in a linked list.""" def __init__(self, data): self.data = data self.next = None def __repr__(self): return "<Node %s>" % self.data class LinkedList(object): """Linked List using head and tail.""" d...
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from sql_api_framework.exceptions import ValidationError from sql_api_framework.serializers import Field, PointField, Serializer, StrField from sql_api_framework.views import ViewSet from todos.models import Location, TodoItem class LocationSerializer(Serializer): fields_spec = [ StrField('id'), F...
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class Animal: """Base class for Animals. Instance variables: - name: str - age: int - position: 0 """ hair = None scales = None def __init__(self, name, age): self.name = name self.age = age self.position = 0 def move_up(self): self.position +...
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from AER_theorist.darts.plot_utils import generate_darts_summary_figures, plot_model_graph, load_model from AER_experimentalist.experiment_environment.participant_weber import Participant_Weber from AER_experimentalist.experimentalist_popper import Experimentalist_Popper from AER_experimentalist.experiment_environment....
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#!/usr/bin/env python # -*- coding: utf-8 -*- ''' This script produces a genpop file from a phylip file in which columns are unlinked snps If desired, a file with population assignments can be provided (following the same format as ipyrad's population assignment file) written by B. de Medeiros, starting in 2015 parts...
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from pymongo import * import os config_dict = dict( USER_AVATAR_DIR='static/user_avatar/', PRODUCT_PIC_DIR='static/product_pic/', UPLOAD_FILE_DIR='static/files/', PRODUCT_PIC_EXT='png', CDN_URL='http://opguqe876.bkt.clouddn.com/', CDN_USER_AVATAR_DIR='/user_avatar/', CDN_PRODUCT_PIC_DIR='/p...
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from scraperlib import scraperutils from scraperlib import config import os class ScraperManger: def __init__(self): self.SITE_NAME = os.path.split(os.getcwd())[1] cm = config.ConfigManager() self.db = cm.get_mongo() self.categories = self.db[self.SITE_NAME + '_categories'] ...
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# -*- coding: utf-8 -*- import os import pickle from PIL import Image import numpy as np from torchvision import transforms from torchvision.datasets import vision from my_nas.utils.torch_utils import Cutout from my_nas.dataset.base import BaseDataset class ImageNetDownsampleDataset(vision.VisionDataset): train_...
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import os import sys import numpy as np import sklearn.linear_model as sl import sklearn.metrics as sm import matplotlib.pyplot as mp import matplotlib.patches as mc def read_data(filename): x, y = [],[] with open(filename, "r") as f: for line in f.readlines(): data = [float(substr) for substr in lin...
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import pytablewriter writer = pytablewriter.RstGridTableWriter() # writer.table_name = "params list" writer.headers = ["name", "type", "e.g.", "is_necessary"] writer.value_matrix = [ ["order_id", "string", "beb5cd6e-aba4-4e78-8a3e-13c40d3ba438", True] ] with open("./docs/table/order2.rst", "w") as f: writer.s...
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#!/usr/bin/env python # -*- coding: utf-8 -*- #------------------------------------------------------------------------------- # Purpose: Simply calls the VISUINO application. Also makes available the # execute() function, from which you can simply do: # >>> import visuino # ...
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import pymongo MONGODB_URI = "mongodb+srv://root:pass@myfirstcluster-2scdt.mongodb.net/myTestDB?retryWrites=true&w=majority" DBS_NAME = "myTestDB" COLLECTION_NAME = "myFirstMDB" def mongo_connect(url): try: conn = pymongo.MongoClient(url) print("Mongo is connected!") return conn excep...
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""" from https://github.com/playone/forpython/blob/master/Automation/test6.py 利用excel讀入關鍵字做搜尋 百度的網頁程式碼結構比google更容易去閱讀 因此拿它來來做練習的目標 """ import pandas as pd import time from selenium import webdriver df = pd.read_excel('keywords.xls') #將excel 內容轉存成dataframework #print df driver = webdriver.Chrome() driver.get('http:...
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from src.range_part import RangePart import sys import random as r MIN_RANGE_PART_SPACING = 10 def get_rand_int_below_exclusive(x): """ Returns a int in the range of [-sys.maxsize, x - 1] :param x: upper bound (exclusive) of range from which random int is drawn from :return: random int in ...
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#To find minimum number of currency to buy a product at a range of 5000 a=int(input("Enter no of Test Cases")) def findMin(V): #Indian Currency Currency= [1, 2, 5, 10, 20, 50, 100, 500, 2000] n = len(Currency) ans = [] i = n - 1 while (i >= 0): while (V >= C...
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import matplotlib.pyplot as plt import numpy as np import random import math class BoxMuller(): @staticmethod def sample_norm_dist(avg=0.0, sigma=1.0): x1 = random.random() x2 = random.random() y1 = math.sqrt(-2*math.log(x1)) * math.cos(2 * math.pi * x2) y2 = math.sqrt(-2*math.log(x1)) * math.sin...
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from gym.envs.registration import register register( id='Billiard-v0', entry_point='gym_billiard.envs:BilliardEnv', timestep_limit=1000, ) register( id='BilliardHard-v0', entry_point='gym_billiard.envs:BilliardHardEnv', timestep_limit=1000, )
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from itertools import permutations from utils import is_convex, scatter_plot, point_in_polygon # O(n^3) def exhaustive(points, show=True, save=False, detailed=False): """ Returns the vertices comprising the boundaries of convex hull containing all points in the input set. The input 'points' is a list of [...
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import networkx as nx import numpy as np import pandas as pd import random from array import * class MapBuilder: def __init__(self): self.data_df = pd.read_csv('data.csv') number_of_edges = len(self.data_df) self.G = nx.DiGraph() for i in range(0, number_of_edges): st...
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import random import math import numpy as np def write_q_table_file(q_table, q_file="Q_Table.txt"): """ Write the q table in a file that will be used to play game :param q_table: Q table to be written in file, has to be a matrix :param q_file: File name to write in """ file = open(q_file, "w+"...
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import random def hangman(stage): if stage == 0: print(" _________ ") print("| | ") print("| ") print("| ") print("| ") print("| ") elif stage == 1: print(" _________ ") print("| ...
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class LRUCache(object): def __init__(self, capacity): """ :type capacity: int """ self.c = capacity self.cache = [] self.d = {} def get(self, key): """ :rtype: int """ if key not in self.cache: return -1...
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# -*- coding: utf8 -*- import json import shutil import zipfile import os import sys import subprocess from qcloud_cos import CosConfig from qcloud_cos import CosS3Client secret_id = '' # 替换为用户的 secretId secret_key = '' # 替换为用户的 secretKey region = 'ap-shanghai' # 替换为用户的 Region token = None # 使用临时密钥需要传入 Token,默认为空...
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import sys, re, os, shutil, glob chapters = "vib wave diffu trunc staggered softeng2 formulas advec".split() chaptersdir = 'chapters' ignored_files = '*.o *.so *.a *.pyc *.bak *.swp *~ .*~ *.old tmp* temp* .#* \\#* *.log *.dvi *.aux *.blg *.idx *.nav *.out *.toc *.snm *.vrb *.cproject *.project .DS_Store Trash'.split...
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