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#!/usr/bin/env python3 # Maximum subarray for _ in range(int(input().strip())): n = int(input().strip()) A = list(map(int, input().strip().split(' '))) is_minus = True # https://en.wikipedia.org/wiki/Maximum_subarray_problem max_ending_here = max_so_far = A[0] for x in A[1:]: if x < 0...
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import requests import json import hashlib import hmac import time import pandas from decimal import Context, Decimal, getcontext from traceback import print_exc import math import os import sys curr_path = os.path.abspath(__file__) root_path = os.path.abspath(os.path.join(curr_path, os.path.pardir, os.path.pardir)) s...
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from constants import PLAYER_1, PLAYER_2 import os import math # В этом файле лежат функции общего назначения, используемые в различных модулях проекта def opponent(player): if player == PLAYER_1: return PLAYER_2 return PLAYER_1 def load_ways(map_dir): """Загружает пути для мобов на конкретной...
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#!/usr/bin/env python # -*- coding: UTF-8 -*- # CGI setup import cgi data = cgi.FieldStorage() text = data.getfirst('text') model = data.getfirst('model') error_prob = data.getfirst('errorprob') print "Content-Type: text/html;charset=utf-8" print # Data validation import re text = str(text) model = str(model) e...
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Third_Max_Num.py
class Solution: def thirdMax(self, nums: list[int]) -> int: # s = set(nums) new_ls = list(set(nums)) new_ls.sort(reverse=True) if len(new_ls) == 1: return new_ls[0] if len(new_ls) == 2: return new_ls[0] return new_ls[2]
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# Generated by Django 3.0.8 on 2020-12-05 09:10 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('System', '0010_auto_20200924_1339'), ] operations = [ migrations.AlterModelOptions( name='case'...
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N = int(input()) s = input() t = input() i = 0 while i < N: if s[i:] == t[:N - i]: break i += 1 print(i + N)
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#!/bin/env python3 import time import re import asyncio from random import random,randint ''' todo: improve choosed notes maybe soundPatch properties should affect the notes like "bass" in patch name or category names ''' class NoteSequenceChooser: def __init__(self, midiOutWrapper, soundPatch): ...
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from scrapy import Spider, Request from scrapy.http import Response class NoJSSpider(Spider): name = 'no_js' def start_requests(self): start_urls = [ 'http://0.0.0.0:8111/', ] for url in start_urls: yield Request(url, callback=self.parse) def parse(self, r...
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class Speaker(object): pass class HomeState(object): baby_speaker = 'A' nora_speaker = 'B' dining_speaker = 'C' broom_speaker = 'D'
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from collections import deque if __name__ == '__main__': T = int(input()) # 여러개의 테스트 케이스가 주어지므로, 각각을 처리합니다. for test_case in range(1, T + 1): N,M,K,A,B = map(int,input().split()) A -= 1 B -= 1 a = list(map(int, input().split())) b = list(map(int,input().split())) ...
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from typing import Callable, Dict, List from ...config.ConfigModel import ConfigModel from ..operators.OperatorItem import OperatorItem from ..sensors.SensorItem import SensorItem from ...workspace.WorkspaceModel import WorkspaceModel class NegativeOperatorItem(OperatorItem): """This class models an operator, wh...
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from __future__ import annotations import importlib import os from pathlib import Path import yaml from basis.cli.commands.base import BasisCommandBase from basis.core.component import global_library from basis.core.declarative.base import load_yaml from basis.core.declarative.dataspace import DataspaceCfg from basis...
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PyBites15.py
names = 'Julian Bob PyBites Dante Martin Rodolfo'.split() countries = 'Australia Spain Global Argentina USA Mexico'.split() def enumerate_names_countries(): """Outputs: 1. Julian Australia 2. Bob Spain 3. PyBites Global 4. Dante Argentina 5. Martin ...
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# -*- encoding: utf-8 -*- ''' Created on 2012-3-23 @author: Neil ''' from django.shortcuts import render_to_response from django.http import HttpResponseRedirect, HttpResponse from grnglow.glow.models.album import Album from grnglow.glow.models.photo import Photo from grnglow.glow.models.user import User from grnglow....
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import spelchek import inflect p = inflect.engine() #Class containing sentences and their details. #Its attributes are: # ErrorType a string indicating the type of the error currently handled # #Its methods are: # __init__ the initialization of a ErrorDef object with its error type # checkDeterminer de...
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test_run_command.py
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # author: jjpan from test_base import loadSettings if __name__ == "__main__": loadSettings('examples.settings') from mockery import management tests = [ (('test.py',), 'help'), # help (('test.py', 'help'), 'help'), # help (('test.py', ...
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R_regression.py
import pandas as pd import numpy as np import dataframes import rpy2 # https://rpy2.github.io/doc/v2.9.x/html/introduction.html import rpy2.robjects as robjects from rpy2.robjects import r, pandas2ri from rpy2.robjects.conversion import localconverter import rpy2.robjects.packages as rpackages base = rpackages.import...
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from django.db import models from django.core.urlresolvers import reverse from datetime import datetime from django.http import HttpResponse from django.contrib.auth.models import User from django.conf import settings class SpamMessage(models.Model): date_posted = models.DateTimeField('date posted', default=da...
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""" Factory for Users """ from django.contrib.auth.models import User from factory import ( Sequence, SubFactory, LazyAttribute, ) from factory.django import DjangoModelFactory from factory.fuzzy import FuzzyText from social_django.models import UserSocialAuth from backends.edxorg import EdxOrgOAuth2 from m...
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import os from utils.config import * from data import load_data from models import models import transformation import random import pandas as pd import art import time import json import utils.measure as measure import gc import cv2 import ssl ssl._create_default_https_context = ssl._create_unverified_...
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# python3 scripy.py imagename.jpg # This script will create a transparent stamp. Note: In input image contains a stamp with blue color, over a white background. import cv2 as cv import numpy as np import sys img_name=sys.argv[1] img=cv.imread(img_name) val=205 tmp_pix=[255,255,255,1] tmp_img=[] for j in range(img.sha...
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# -*- coding: utf-8 -*- """ Created on Sun Nov 02 23:08:19 2014 @author: heshenghuan """ from __future__ import division import codecs import math class NBClassifier(object): ''' Naive Bayes classifier implement by Python ''' def __init__(self): self.samp_feat_vec = [] self.samp_class...
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import random from pathlib import Path from typing import Union from tqdm import tqdm try: from data_loader import audio_reader except: import audio_reader import torch from torch.utils.data import DataLoader, Dataset class DatasetMixer: def __init__(self, path_to_video: Path, ...
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1014.py
#1014 dis=int(input()) tel=float(input()) rel=dis/tel print('%.3f km/l' % rel)
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#fibonacci_sequence a=0 b=1 temp=0 n=int(input("enter the num :")) while(a<n): temp=a+b a=b b=temp print("temp",temp)
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# -*- coding: utf-8 -*- # Generated by Django 1.10.7 on 2017-12-26 12:24 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('checkout', '0004_auto_20171226_0910'), ] operation...
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example1.py
#!/usr/bin/env python #-*- coding:utf8 -*- class Descriptor(object): def __get__(self, instance, owner): print("in __get__",instance,owner) return instance def __set__(self, instance, value): print("in __set__") def __delete__(self, instance): print("in __del__") class A(o...
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dataAndKeywordDriven_bkp.py
#encoding=utf-8 from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC import time from util.ObjectMap import * from action.pageAct...
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import re from pathlib import Path import matplotlib.pyplot as plt import pandas as pd import seaborn as sns import numpy as np from nltk.util import ngrams from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator from sklearn.feature_extraction.text import CountVectorizer #additional stop words #from spacy.l...
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import pandas as pd import sys import xgboost from sklearn.ensemble import RandomForestRegressor import collections from sklearn.model_selection import train_test_split import matplotlib.pyplot as plt import numpy as np import math import random def sortSecond(val): return val[1] # =============...
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#coding=utf-8 import sys import pika #根据参数来确定 consumer接收啥类型 def Main(): connection=pika.BlockingConnection(pika.ConnectionParameters("localhost")) channel=connection.channel() #定义exchange channel.exchange_declare(exchange_type="topic",exchange="topic_info_exchange") #定义queue result=channel.queu...
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YelpDataset.py
import os from src.Database import Database YELP_DATASET = None def getYelpDataset(dataPath): global YELP_DATASET if YELP_DATASET == None: YELP_DATASET = YelpDataset(dataPath) return YELP_DATASET class YelpDataset(): def __init__(self, dataPath): self.dataPath = dataPath dbPa...
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import re import os class Element: LINK = "link" IMAGE = "img" TITLE = "title" CONTENT = "content" def isLink(line): """ 判断markdown单行是否为超链接 """ # 存在图片超链接嵌套的情况 res = re.search(r"(?<!\!)\[(?P<text>.*)\]\((?P<link>.*?)\)", line) if res == None: return None text =...
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res=1254.2564556 print(str(f'{res:2.4f}').zfill(4)), end= " ")
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SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:Itzler.666@localhost/flask-order" SQLALCHEMY_TRACK_MODIFICATIONS = True SERVER_PORT = 5000 AUTH_COOKIE_NAME = "flask-order" # 过滤url IGNORE_URLS = [ "^/user/login" ] IGNORE_CHECK_LOGIN_URLS = [ "^/static", "^/favicon.ico" ]
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watchlist_test.py
import pytest from web_app.domainmodel.movie import Movie from web_app.domainmodel.watchlist import WatchList def test_size(): watchlist = WatchList() assert watchlist.size() == 0 movie1 = Movie("Moana", 2016) movie2 = Movie("Booksmart", 2019) movie3 = Movie("School of Rock", 2003) movie4 = Mo...
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lables.py
import MySQLdb import settings import redis import socket import fcntl import struct import datetime db = MySQLdb.connect(settings.host, settings.user, settings.pwd, settings.db) cursor = db.cursor() def connect_mysql(): try: db.ping() except: db = MySQLdb.connect...
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import openpyxl class TestXLUtility: def __init__(self, driver): self.driver = driver def getRowCount(file, sheetname): workbook = openpyxl.load_workbook(file) #sheet = workbook.get_sheet_by_name(sheetname) sheet = workbook[sheetname] return(sheet.max_row) def get...
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# # purpose: setup file to install the compiled-language python libraries # usage: python setup.py config_fc --f90flags="-O2 -fopenmp" install --prefix=$PWD # from numpy.distutils.core import Extension c_array_sqrt = Extension (name = "c_array_sqrt_omp", sources = ["./src/c_array_sqrt_omp....
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lcs2.py
#Uses python3 import sys def lcs2(a, b): dp_result = [[0 for j in range(b+1)] for i in range(a+1)] for x in range(1, a+1): for y in range(1, b+1): if a[x-1] == b[y-1] and b[y-1] == c[z-1]: dp_result[x][y] = dp_result[x-1][y-1] + 1 else: dp_re...
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from plumbum import local, FG, ProcessExecutionError import logging import os.path from task import app kubectl = local["kubectl"] @app.task def create_kube_from_template(file_name, *aargs): args = {} for a in aargs: args.update(a) template = open(os.path.join('..', file_name)).read() % args logging.info...
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from .models import Video, VideoClass from rest_framework import serializers # Video 정보 class VideoSerializer(serializers.ModelSerializer): class Meta: model = Video fields = ['videoURL','subTitle', 'numOfLike', 'numOfPlay'] # Video 분류 class VideoClassSerializer(serializers.ModelSerializer): ...
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import ast import datetime import json from base64 import b64encode import requests IMGUR_BASE = "https://api.imgur.com" class Task: """ A class used to represent a job ... Attributes ---------- queue : list the list of all urls pending : list the name of all pending urls...
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from django import forms from django.forms import ModelForm from .models import Noticia class NoticiaForm(ModelForm): class Meta: model = Noticia fields = ['idNoticia','resumen','titulo','categoria']
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import pymongo client = pymongo.MongoClient("mongodb://localhost:27017/") # Database Name db = client["Test"] # Collection Name col = db["C100"] x = col.find_one() print(x)
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# Generated by Django 2.0.4 on 2018-06-09 05:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('lists', '0004_auto_20180608_1835'), ] operations = [ migrations.AlterModelOptions( name='todo', options={'ordering':...
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import sys from typing import List class Solution: def change(self, amount: int, coins: List[int]) -> int: dp = [0] * (amount+1) dp[0] = 1 for c in coins: for i in range(c, amount+1): dp[i] += dp[i-c] return dp[amount] if __name__ == '__main__': fro...
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__author__= "wmq" import string from numpy import * def loadDataSet(filepath):#'spam_train.txt' flag = [] emails = [] f = open(filepath, 'r') for line in f: flag.append( string.atoi(line[0]) ) temp = line[2:].split() emails.append([token for token in temp if len(token) > 1]) # tolower() f.close() retur...
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''' LA NOTA MEDIA. La nota media conseguida en una clase de 20 alumnos ha sido de 6. Ocho alumnos han suspendido con un 3 y el resto superó el 5. ¿Cuál es la nota media de los alumnos aprobados? Suponiendo que sacaran la misma nota Suspensos --> 8 alumnos con 3 Aprobados --> 12 alumnos > 5 ''' i = 0 #notaMedia = (8*...
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from manim import * class Tute1(ThreeDScene): def construct(self): axes = ThreeDAxes( x_range=[-6, 6, 1], y_range=[-6, 6, 1], z_range=[-6, 6, 1], x_length=8, y_length=6, z_length=6, ) graph = axes.get_graph(lambda x:...
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import argparse import io import json import logging import logging.config import os import sys from base64 import b64encode from collections import Counter from datetime import datetime from dcicutils.command_utils import y_or_n from dcicutils.ff_utils import get_authentication_with_server, search_metadata, post_meta...
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""" main.py Main program which calls different programs for EnKF. Written by Godwin Madho """ import os import time from glob import glob import numpy as np import matplotlib.pyplot as plt from param import m,n,dt,tend,nstep,Eavg,stat import L3ini import L3rk4model import L3obs import calcH import assimilation import...
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import pandas as pd from sklearn.model_selection import train_test_split from sklearn.compose import ColumnTransformer from sklearn.preprocessing import StandardScaler from tensorflow.keras.models import Sequential from tensorflow.keras.layers import InputLayer, Dense from tensorflow.keras.optimizers import Adam datas...
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import pickle import gzip from rdkit.Chem import MolFromSmiles from rdkit.Chem import Draw def load_object(filename): with gzip.GzipFile(filename, 'rb') as source: result = source.read() ret = pickle.loads(result) source.close() return ret mapping = {} counter = 0 for j in range(1, 11): if j == 8: iteration = ...
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# 单例模式 class Singleton: __obj = None __flag = True def __new__(cls, *args, **kwargs): if cls.__obj is None: cls.__obj = super().__new__(cls) return cls.__obj def __init__(self, name): if self.__flag: print("init...") self.name = name ...
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import json import warnings import pickle import random import os import re import nltk from nltk.corpus import stopwords from imblearn.over_sampling import SMOTE from dtreeviz.trees import dtreeviz from IPython.display im...
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# setup.py # Created 20210524 1537 # Invoke with %run "C:\\setup.py" # Modified (see version) VERSION = "20210720 2217 " import datetime import humanize import numpy as np import os import pandas as pd import plotly.express as px import pyperclip import re import sidetable import snowflake.connector import time from...
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#Pie Chart #If your data set is in the negative state then dont prefer this chart import matplotlib.pyplot as plt slices = [7,2,11,13] sleeping = [2,4,6,8,9] eating = [3,6,8,4,3] working = [2,6,4,7,9] playing = [3,6,8,6,3] activities = ['sleeping', 'eating', 'working', 'playing'] colors = ['c','m','r','b'] plt.pie(slic...
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import json num_of_test_frame = "default" def frame(num_of_test_frame): conf_file = open('standart_config.json') stream = conf_file.read() json_config = json.loads(stream) frame_size = json_config['?FrameResult?'] for all_frame in frame_size: if all_frame == num_of_test_frame: ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ Google Code Jam 2017. Qualification Round Problem A. Oversized Pancake Flipper * Problem Last year, the Infinite House of Pancakes introduced a new kind of pancake. It has a happy face made of chocolate chips on one side (the "happy side"), and noth...
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import unittest from shared import intcode class TestDay5(unittest.TestCase): def test_example(self): vm = intcode.IntCode([3,21,1008,21,8,20,1005,20,22,107,8,21,20,1006,20,31,1106,0,36,98,0,0,1002,21,125,20,4,20,1105,1,46,104,999,1105,1,46,1101,1000,1,20,4,20,1105,1,46,98,99]) vm.stdin.write(7) ...
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from logging import getLogger from time import time from .utilities import get_time_ms, get_format_time_diff class Auth: def __init__(self): self.log = getLogger(__name__) self._auth_provider = None self._login = False # oauth2 uses refresh tokens (which basically never expire)...
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def main(): buf = input() buflist = buf.split() n = int(buflist[0]) m = int(buflist[1]) ab = [] for i in range(m): buf = input() buflist = buf.split() ab.append(tuple(map(int, buflist))) ab.sort() dp = [] for i in range(n+1): dp.append...
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''' 定义一个类继承于int类型,并实现一个特殊功能:当传入的参数是字符串的时候,返回该字符串中所有字符的ASCII码的和 ''' class Nint(int): def __new__(cls,parm): cls.parm=parm if isinstance(parm,int): return cls.parm elif isinstance(parm,float): return int(cls.parm) else: sum=0 for i in pa...
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from Utils import arraycopy class Vector: def __init__(self, arr): self.length = len(arr) self._arr = arraycopy(arr) @property def arr(self): return self._arr @arr.setter def arr(self, a): if len(a) != len(self._arr): raise ValueError("Given vec...
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__source__ = 'https://leetcode.com/problems/moving-average-from-data-stream/' # https://github.com/kamyu104/LeetCode/blob/master/Python/moving-average-from-data-stream.py # Time: O(1) # Space: O(w) # # Description: Leetcode # 346. Moving Average from Data Stream # # Given a stream of integers and a window size, calcul...
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#!/usr/bin/python #-*-cording:utf8-*- print("Hello world!"Hello worldHello world!!)
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""" Python 3 Object-Oriented Programming Chapter 14. Concurrency """ from __future__ import annotations import argparse import ast from concurrent import futures from fnmatch import fnmatch import os from pathlib import Path import sys import time from typing import Iterator, NamedTuple class ImportResult(NamedTupl...
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from django.shortcuts import render from django.shortcuts import render import re import os from django.http import HttpResponse from django.shortcuts import redirect from trader.forms import StartTradeForm from trader.models import StartTrade from django.views.generic import ListView from tda import auth, client from ...
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# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2016-04-16 14:42 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import modelcluster.fields import wagtail.wagtailcore.fields class Migration(migrations.Migration): dependencies = [ ('w...
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tweetgrab.py
import csv #third-party library in requirements.txt import twitter from local_settings import * def connect(): api = twitter.Api(consumer_key=MY_CONSUMER_KEY, consumer_secret=MY_CONSUMER_SECRET, access_token_key=MY_ACCESS_TOKEN_KEY, ac...
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# -*- coding: utf-8 -*- import warnings warnings.filterwarnings("ignore", message = "numpy.dtype size changed") from IPython.core import debugger ; debug = debugger.Pdb().set_trace from matplotlib.widgets import Slider from recorder import Recorder import matplotlib.gridspec as gridspec import matplotlib.pyplot as pl...
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first_steps_3_box_annotation.py
import random from bokeh.models import BoxAnnotation from bokeh.plotting import figure, show # generate some data (1-50 for x, random values for y) x = list(range(0, 51)) y = random.sample(range(0, 100), 51) # create new plot p = figure(title="Box annotation example") # add line renderer line = p.line(x, y, line_co...
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uresnet_ppn_chain.py
from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch from mlreco.models.uresnet_lonely import UResNet, SegmentationLoss from mlreco.models.ppn import PPN, PPNLoss class Chain(torch.nn.Module): """ Run UResNet and use its encoding/decoding fe...
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# Generated by Django 2.2.2 on 2019-11-28 11:46 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
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script_2.py
import pandas df=pandas.read_csv("dataImmo.csv", sep=';',encoding="utf-8-sig",dtype={'Code-Postal':str}) #print(df.sort_values(by='Code-Postal')) df01=df[df['Code-Postal'].str[:2]=="71"] for num in range(1,96): numd=str(num) if num<10: numd='0'+str(num) df_dep=df[df['Code-Postal'...
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mv_Py_tools.py
import os,sys if sys.argv[1]=="start": os.system("nohup python mvknow_app.py &") os.system("nohup python monitor_mission.py &") print("启动成功") elif sys.argv[1]=="stop": os.system("pkill python ") print("程序停止") else: print("参数错误,请输入start或者stop")
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import psycopg2 import json conn = None cur = None try: conn = psycopg2.connect("host=localhost dbname=uncountable user=vikas") cur = conn.cursor() cur.execute(""" CREATE TABLE IF NOT EXISTS inputs( Experiment text, Polymer_1 decimal, Polymer_2 decimal, Polymer_3 decimal...
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# flake8: noqa from .context_models import ContextChallenge, ContextMessage, ContextParticipant, ContextResult, ContextUser from .errors import UnexpectedChallengeAmountError from .objects import ( AnswerEvaluation, BaseChallengeInfo, ChallengeType, CheckedResult, EvaluationStatus, PictureLocati...
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rocniCislo.py
# -*- coding: utf-8 -*- """ Created on Mon Jan 4 12:11:29 2021 @author: karina999 """ from textwrap import wrap import numbers s = "13.5.1967" values = wrap(s, 1) for _ in range(5): del values[-1] print(values) celek = 0 for i in values: print(i) if i != ".": c...
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# @Time : 2018/11/5 14:41 # @Author : Yanlin Wang # @Email : wangyl_a@163.com # @File : 8. WORKING WITH TEXT DATA.py from time import clock import pandas as pd import numpy as np start = clock() s = pd.Series(['A', 'B', 'C', 'Aaba', 'Baca', np.nan, 'CABA', 'dog', 'cat']) """ # 对序列进行操作 s.str.lower() s.str.u...
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from django.shortcuts import render from django.template import Template,Context import datetime # Create your iviews here. from django.http import HttpResponse import codecs def welcome(request,name): fp=open("/home/demo/myproject/polls/hello.html") fp.seek(0) t=Template(''.join(fp.read().splitlines())) fp.close()...
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04.数据结构.py
#字符串(不可变元素,'...') a='py''thon'#可拼接 b='py'+'thon' #列表(可变元素,[*,*,...]) list=['a'] ex_list=['c','d'] list.append('b') list.extend(ex_list) list.insert(len(list),'e') list.remove('e') list.pop(3)#删除并返回指定位置的值,缺省为最后一个元素 #list.clear()#清楚列表所有元素 list.index('b')#返回指定元素的索引 list.count('a')#返回出现次数 list.sort() list.reverse() print(l...
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make_sources_config.py
# # "base" - base directory # "dirs" - directiry with sources, all source files in this directory added (without recursion) # "files" - raw list of source files # "output" - output path prefix sources = [ { "base" : "../3code/Libraries/CMSIS/Device/ST/STM32F30x/Source/Templates/gcc_ride7", "output" : "CMSIS...
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fig8.py
# data from: # LIGO open science center # www.gw-openscience.org/GW150914data/LOSC_Event_tutorial_GW150914.html import numpy as np import matplotlib.pyplot as plt from matplotlib.mlab import psd from numpy.fft import rfft, irfft, ifft, rfftfreq from scipy.signal import butter, filtfilt import h5py data = [np.loadt...
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vectorMatrixFunctions.py
import numpy as np import pandas as pd import math import random import os #Normalize the columns of the given (data) matrix X def normalizeCols(X, mu=None, sdVec=None): if mu is None: mu = np.mean(X, axis=0) if sdVec is None: sdVec = np.std(X, axis=0) Xnorm = np.zeros(X.shape) if len...
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many_to_many_unmatchable.py
import datetime from faker import Faker import pandas as pd fake = Faker() Faker.seed(1) data_len = 10 intake_range = [ datetime.date(year=2018, month=1, day=1), datetime.date(year=2019, month=12, day=31), ] exit_range = [ datetime.date(year=2019, month=1, day=1), datetime.date(year=2019, month=12, da...
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/booking/urls.py
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urls.py
from django.conf.urls import url from .views import * urlpatterns = [ url(r'^$',signup,name='signup'), url(r'^api/login$',userlogin,name='login'), url(r'^api/dashboard1$',userdashboard,name='userdashboard'), url(r'^api/dashboard2$',lawyerdashboard,name='lawyerdashboard'), url(r'^api/acceptrequest/(?P<id>\d+)/$',a...
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test_host.py
import pytest from modules.host import Host from modules.port import Port @pytest.fixture def port(): return Port("21", "ftp", "vsftpd", "2.3.4", "", []) @pytest.fixture def host(): return Host("127.0.0.1", 'PC-1', '5E:FF:56:A2:AF:15') def test_init_host(host): assert host.host == "127.0.0.1" asse...
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/main.py
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main.py
# -*- coding: utf-8 -*- from lxml import html import requests import sys import os import urllib import subprocess from ghost import Ghost import re, urlparse #FUNCIONES DE ENCODEO DE WEBSITE def urlEncodeNonAscii(b): return re.sub('[\x80-\xFF]', lambda c: '%%%02x' % ord(c.group(0)), b) def iriToUri(iri): par...
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mol_helper.py
from rdkit import Chem def smi_to_mol(sm_str, addHs=True): """SMILESの文字列をMolにする。そのときHをつけるかつけないか選ぶ。""" t_mol = Chem.MolFromSmiles(sm_str) if addHs: t_mol = Chem.AddHs(t_mol) return t_mol def mol_to_smi_to_mol(mol, addHs=True): """molを一度SMILESになおして再度molにすることでエラーが出ないようにする""" smi = Chem....
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key_phrase_match.py
#!/usr/bin/env python # -*- coding:utf-8 -*- # Author:McDull Hunsaker import re import nltk from nltk.corpus import stopwords from nltk.tokenize import sent_tokenize import pymysql db = pymysql.connect( host='localhost', port = 3306, user='root', passwd='root', db ='test', ...
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/model.py
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model.py
from tensorflow.keras.applications.resnet50 import ResNet50 from tensorflow.keras.models import Model from tensorflow.keras.layers import Flatten, Dense, Dropout, GlobalAveragePooling2D from tensorflow.keras.optimizers import Adam # Set model params: classes = 11 lr = 1e-3 optimizer = Adam(lr=lr) img_size = (224,224)...
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__init__.py
import subprocess, shlex import os, shutil, re from pathlib import Path from typing import IO from plasTeX.Renderers.PageTemplate import Renderer as _Renderer from plasTeX.Renderers.HTML5.Config import addConfig from plasTeX.Logging import getLogger log = getLogger() class HTML5(_Renderer): """Renderer targetting...