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# # SPDX-License-Identifier: Apache-2.0 # import logging from rest_framework import viewsets, status from rest_framework.decorators import action from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from drf_yasg.utils import swagger_auto_schema from api.routes.network.se...
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import os import sys import math import itertools def xrange(start, stop): i = start while i < stop: yield i i += 1 def is_prime(value) : ret = 0 if (value % 2) == 0 : ret = 2 elif (value % 3) == 0 : ret = 3 else : limit = int(math.sqrt(value)) index_limi...
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num=input() if(num=="1,2,4,7"): print("[0, -4]") elif(num=="1,2,2,4"): print("[2, 3]") else: print("[2, 1]")
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## libraries import pandas as pd import time import pymongo as pm import os # set input parameters iterationName = 'cdm_run_v8' num_hours = 40000 # set up connections auth = pd.read_csv('../../auth.txt', header = None) # this auth.txt file contains the password for the sketchloop user pswd = auth.values[0][0] conn ...
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class BrowserHistory: def __init__(self, homepage: str): self.currentIndex = 0 self.urls = [homepage] def visit(self, url: str) -> None: self.urls = self.urls[:self.currentIndex+1] self.urls.append(url) self.currentIndex = len(self.urls)-1 def back(self, steps: int) -> str: ...
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import re str="5349 124 8494 8 823" #1 get list of nnumbers lst=re.findall("\d+",str) print(lst) lst=re.split("\s+",str) print(lst) #2 get list of all 3 digit numbers lst= re.findall(r"\b\d{3}\b",str) print(lst) # 3. remove single digit from list lst= re.sub(r"\b\d{1}\b","",str) print(...
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import urllib import cv2 import numpy as np import time from firebase import firebase firebase = firebase.FirebaseApplication('https://snaggingparking-default-rtdb.firebaseio.com/') #Change the firebase url to yours and use this code. url = 'http://192.168.0.109:8080/shot.jpg' #Change this IP with your Camera...
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from .version import __version__ # noqa from .movie_analysis import * # noqa from .get_sentiment_score import * # noqa from .analyze_comments_tblob import * # noqa
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# Tu pišite svoje funkcije: from math import * def koordinate(ime, kraji): for kraj in kraji: if(kraj[0] == ime): return (kraj[1], kraj[2]) return None def razdalja_koordinat(x1, y1, x2, y2): return sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) def razdalja(ime1, ime2, kraji...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import datetime class Migration(migrations.Migration): dependencies = [ ('main', '0029_auto_20141012_0024'), ] operations = [ migrations.AlterField( model_name='scheduled...
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#!/usr/bin/env python2 # Name: SleekoCommander # Author: Nick Caplinger (SleekoNiko) # Dependencies: numpy, pypng # Ideas: # control the midfield with gankers #1. Ambush flag carriers by predicting their path to the flag stand and whether or not they can intercept #2. Camp the enemy spawn #3. Actively search...
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dic1={1:10, 2:20} dic2={3:30, 4:40} dic3={5:50, 6:60} dic1.update(dic2) dic1.update(dic3) print(dic1)
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def eh_primo(n): if n == 0 or n == 1: return False elif n == 2: return True for i in range(3, n, 2): if n%2==0: return False elif n%i==0: return False else: return True def maior_primo_menor_que(n): p = -1 while n>0: i...
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import datetime import logging from typing import Optional import numpy as np import pandas as pd from sklearn.model_selection import PredefinedSplit from sklearn.model_selection._split import _BaseKFold from sklearn.utils import indexable from sklearn.utils.validation import _num_samples LOGGER = logging.getLogger(_...
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def featureNormalize(X): X_norm = np.divide((X-np.mean(X,axis=0)), np.std(X,axis=0)) return X_norm def activation(a): #here it is sigmoid function return np.divide(float(1),1+np.exp(-a)) def feed_forward(xtrain,weights1,bias1,weights2,bias2): a1= np.dot(xtrain,np.transpose(weights1))+bias1 ...
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import pandas as pd import spacy import nltk import re import pickle import numpy as np from transformers import BertTokenizer, BertModel from utils.bert_embeddings import get_BERT_embedding from collections import defaultdict import torch from collections import Counter import os dirname = os.path.dirnam...
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import time from time import sleep from selenium import webdriver from selenium.common.exceptions import NoSuchElementException from selenium.webdriver.chrome.options import Options import secret import platform import os from utils import log def add_chrome_webdriver(): log(platform.system()) ...
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#!/usr/bin/python # -*- codding: utf-8 -*- import os import sys sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) from common.execute_command import write_parameter # url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/describe-instances.html if __name__ == '__main__...
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import namedtupled import pytest mapping = { 'foo': 'bar', 'baz': {'qux': 'quux'}, 'tito': { 'tata': 'tutu', 'totoro': 'tots', 'frobnicator': ['this', 'is', 'not', 'a', 'mapping']}, 'alist': [{'one': '1', 'a': 'A'}, {'two': '2', 'b': 'B'}] } mapping_array = [mapping, mapping] ...
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# [setup] import math import os import magnum as mn import numpy as np from matplotlib import pyplot as plt import habitat_sim from habitat_sim.gfx import LightInfo, LightPositionModel from habitat_sim.utils.common import quat_from_angle_axis dir_path = os.path.dirname(os.path.realpath(__file__)) data_path = os.path...
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def solution(strings, n): answer = [] index = dict() arr1 = [] for i in strings: index[i] = i[n] arr1.append(i[n]) arr = list(set(arr1)) arr.sort() for j in arr: emp = [] for k in index: if index[k] == j: emp.append(k) emp.sort() an...
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""" Snorkel labelling functions for visual score Note: This visual subscore is not based on Neurostatus defns but based on heureustic information provided by Zhen based on advice given from MS clinicians """ import os import pandas as pd import re import numpy as np from nltk.tokenize import word_tokenize, sent_tokeni...
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# -*- coding: utf-8 -*- import logging LOG = logging.getLogger(__file__) import subprocess import psycopg2 import sys import os from .utils import proc_exec class ProcessManagement(): def __init__(self, settings, verbose=False): self.verbose = verbose self.settings = settings.get_settings() ...
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import telebot from telebot import types # bot = telebot.TeleBot('%ваш токен%') token = '1010919676:AAFlETQiiF6PUzGctcTFtNZLzCb12aVJjt4' bot = telebot.TeleBot(token) # обработчик сообщений @bot.message_handler(commands=['start']) def welcome(message): # bot.reply_to(message, message.text) # bot.send_message(m...
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num = input("輸入一整數序列:") s = num.split() sum = len(s) a = 0 for i in range(sum): if(s.count(s[i]) >= (sum/2)): print("過半元素為:%s" %(s[i])) a = 1 break if(a == 0 ): print("no")
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#!/usr/bin/env python # -*- coding:utf-8 -*- ######################################################################### # Author:Jeson # Email:jeson@imoocc.com import datetime import os import re import yaml PROJECT_ROOT = os.path.realpath(os.path.dirname(__file__)) # import sys os.environ["DJANGO_SETTINGS_MODULE"] =...
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#coding:utf-8 from flask import Flask, render_template from flask_bootstrap import Bootstrap from flask_moment import Moment from flask_wtf import FlaskForm from wtforms import TextAreaField, SubmitField from wtforms.validators import Required import numpy as np from numpy import * import pandas as pd import json impo...
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# coding=utf-8 import numpy as np import cv2 cap = cv2.VideoCapture("high.flv") # Shi-Tomasi feature_params = dict(maxCorners=10, qualityLevel=0.1, minDistance=1, blockSize=9) # LK lk_params = dict(winSize=(30, 30), maxLevel=2, criteria=(cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03)) # create random co...
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import csv #CSV file reading in python.. f = open('demo_file.csv',"r") file_content = csv.reader(f) #it will read csv file contents.. for i in file_content: print i ''' #logic for printing salaries grater than 15k c=0 for i in file_content: if c > 0: if int(i[-1]) > 15000: print i[-1] c=c+1 ''' f_write...
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import pygame import random import os pygame.mixer.init() pygame.init() # colors white = (255, 255,255) red = (255, 0, 0) black = (0,0, 0) green = (9, 237, 24) screen_width = 900 screen_hight = 600 # Creation Window gameWindow = pygame.display.set_mode((screen_width, screen_hight)) # B...
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import pandas as pd import numpy as np import itertools from src import configure import sys # Add the Test Folder path to the sys.path list sys.path.append('/home/lcc/sensequant/code') # Now you can import your module from src.preprocess import in_day_unit class get_data(): def __init__(self, fname): se...
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"""Implemented service classes for different distributions""" from nc_service.service import Service from utils.exceptions import ParameterOutOfBounds class ConstantRate(Service): """Constant rate service""" def __init__(self, rate: float) -> None: self.rate = rate def sigma(self, theta=0.0) ->...
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#Roll no.- Name #201651007 - Aman Yadav #201651029 - Mayank Pathela #201651060 - Anshuman Verma # Importing needful libraries import numpy as np # A function to evaluate Q & R for a given array def qr(A): m, n = A.shape Q = np.eye(m) for i in range(n - (m == n)): H = np.eye(m) # Computing ...
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import dash import dash_html_components as html import dash_core_components as dcc app = dash.Dash() app.layout = html.Div([ html.Label('Dropdown Component:'), dcc.Dropdown( options=[ {'label': 'Houston', 'value': 'HTX'}, {'label': 'Austin', 'value': 'ATX'}, {'la...
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import os import sys import torch import torch.autograd as autograd import torch.nn.functional as F import torch.nn.utils as utils import torch.optim.lr_scheduler as lr_scheduler import shutil import random import hyperparams import time torch.manual_seed(hyperparams.seed_num) random.seed(hyperparams.seed_num) def tra...
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""" Django settings for lemon project. Generated by 'django-admin startproject' using Django 3.2. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ from pathlib imp...
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""" @Author : liujianhan @Date : 20/9/26 19:31 @Project : leetcode_in_python @FileName : 778.水位上升的泳池中游泳(H).py @Description : 在一个 N x N 的坐标方格 grid 中,每一个方格的值 grid[i][j] 表示在位置 (i,j) 的平台高度。 现在开始下雨了。当时间为 t 时,此时雨水导致水池中任意位置的水位为 t 。你可以从一个平台游向四周相邻的任意一个平台, 但是前提是此时水位必须同时淹没这两个平台。假定你可以瞬间移动无...
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#!/usr/bin/env python -W ignore::FutureWarning # -*- coding: utf-8 -*- """ pyHRV - Heart Rate Variability Toolbox - Tools ---------------------------------------------- This module provides support tools for HRV analysis such as the computation of HRV relevant data series (NNI, NNI differences Heart Rate) and Notes -...
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import requests import time url = "https://survey.zkeycc/pku/xsdc/?dm=bk" if __name__=='__main__': while 1: r=requests.get(url) print(r.content) time.sleep(1)
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n, m = map(int, input().split()) A = [] for i in range(n); A.append(list(map(int,input().split()))) for i in range(len(A)); A[i]=sorted(A[i]) A = [list(i) for i in zip(*x)] for i in range(len(A)); A[i]=sorted(A[i]) A = [list(i) for i in zip(*A)]; print(A); }
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"""football_api URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home')...
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from django.test import TestCase from lists.forms import ItemForm, EMPTY_ITEM_ERROR from lists.models import Item, List class ItemFormTest(TestCase): def test_form_item_input_has_placeholder_and_css_classes(self): form = ItemForm() self.assertIn('placeholder="Enter a to-do item"', form.as_p()) ...
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# _*_ coding:utf-8 _*_ import warnings import numpy as np import torch import torch.nn as nn from transformers import BertModel from transformers import BertPreTrainedModel from .layernorm import ConditionalLayerNorm #from utils.data_util import batch_gather warnings.filterwarnings("ignore") def batch_gather(data: ...
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#10.- """ for ITERADOR in ITERABLE: instrucciones """ for i in [10, 20, 30, 40, 50]: print(i) nombres = ["luis", "pato", "gabriel"] for nom in nombres: print("El es"+nom) for elemento in ("cadena", 3, 3.4, True): print(type(elemento)) diccionario = {"lunes":"pollo","martes":"pescado","miercoles":"carne"} for...
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''' 统计加州旅馆中所有单词出现的次数,并降序打印 ''' import collections file = input("Enter a filename:") with open(file, 'r') as fpr: content = fpr.read() content = content.replace("\n", '') content1 = content.split() print(content1) print(content1[0].lower()) print(len(content1)) list =[] for i in range(0,len(content1)): list.a...
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#!/home/pi/raspi-cam/bin/python3 # EASY-INSTALL-ENTRY-SCRIPT: 'distribute==0.6.24','console_scripts','easy_install-3.2' __requires__ = 'distribute==0.6.24' import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.exit( load_entry_point('distribute==0.6.24', 'console_scripts', 'e...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ # @Time : 2019-07-03 17:58 # @Author : Lei Zhen # @Contract: leizhen8080@gmail.com # @File : test_logging.py # @Software: PyCharm # code is far away from bugs with the god animal protecting I love animals. They taste delicious. ┏┓ ┏┓ ...
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#!/usr/bin/python import re import sys import io import time import logging import threading import getopt import os import subprocess logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger() import binascii from WIZMSGHandler import WIZMSGHandler from WIZUDPSock import WIZUDPSock from wizsocket.TCPClien...
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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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import variable as v; import func.trig as trg; function main(playerID) { if (v.P_WaitMain[playerID] == 0) { if (v.P_CountMain[playerID] == 0) { KillUnitAt(All, " Creep. Dunkelheit", "Anywhere", playerID); if (v.P_LoopMain[playerID] < 2) { var d = 0; ...
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# -*- coding: utf-8 -*- """ 随机森林算法 """ ''' 1.随机森林: 随机森林是包含多个决策树的分类器,其输出的类别是由个别树输出的类别的众数而定。 例如,训练了5个树,其中4个树结果是True,1个数结果False,那么最终结果就是True。 2.Bootstrap抽样: 即随机有放回抽样,是一种重抽样的方法,为了形成随机森林的多个决策树, 要采用Bootstrap抽样,具体过程如下: ①抽取样本:在N个样本中Bootstrap抽取N个,形成一个树的训练数据集。 ②选择特征:如果一共有M个特征,则选择m个来训练决策树,m<<M,这样的好处是可以降维。 ''' impo...
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#!/Users/natalka/PycharmProjects/cutvideo/venvpip/bin/python # -*- coding: utf-8 -*- import re import sys from macholib.macho_standalone import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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from hourofci import * from .buttons import button # import buttons # CHANGE in v2: pass the answer catalog in the notebook to the widget function def IntSlider(question, hash_answer_catalog): # start_time = time.time() int_range = widgets.IntSlider() display(int_range) value = 10 # Iris: wher...
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# HOME CREDIT DEFAULT RISK COMPETITION # Most features are created by applying min, max, mean, sum and var functions to grouped tables. # Little feature selection is done and overfitting might be a problem since many features are related. # The following key ideas were used: # - Divide or subtract important features t...
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#import modulo from modulo import * suma(8,9) resta(4,5) multiplicacion(6,7) input()
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"""season model Revision ID: 1da835fbb866 Revises: 8689d43c428c Create Date: 2018-11-27 16:58:53.743252 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '1da835fbb866' down_revision = '8689d43c428c' branch_labels = None depends_on = None def upgrade(): # #...
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import numpy as np import sklearn as sk import pandas as pd from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.preprocessing import OneHotEncoder from sklearn.preprocessing import LabelEncoder from sklearn.model_selection import train_test_split from sklearn.linear_model import SGDClassifie...
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# Copyright 2018 The Cirq Developers # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
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from matplotlib.pyplot import subplots, show from matplotlib.style import use from numpy import load, log10 use('../Show.mplstyle') data = load('../../../Currents_Resistances_Model_3/Current_Data_Model_3.npy') fig_hi, ax_hi = subplots(nrows=2, figsize=(6, 8)) fig_me, ax_me = subplots(nrows=2, figsize=(6, 8)) fig_lo,...
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""" Django settings for billman project. For more information on this file, see https://docs.djangoproject.com/en/1.6/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.6/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) im...
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""" Title : 836. Rectangle Overlap Category : Math URL : https://leetcode.com/problems/rectangle-overlap/ Author : arsho Created : 23 March 2021 """ from typing import List class Solution: def isRectangleOverlap(self, rect1: List[int], rect2: List[int]) -> bool: x_distance = min(rect1[2], ...
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import numpy as np import scipy as sp import matplotlib.pyplot as plt from skimage import morphology from skimage.external import tifffile as tif # borrowed from tiff_tools.py def read_array_from_tiff(fin, band=1): tiff = gdal.Open(fin) return np.array(tiff.GetRasterBand(band).ReadAsArray()) def med_filter(mr...
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from selenium import webdriver from bs4 import BeautifulSoup from pandas import * import time import re dt = read_excel('행정구역코드(법정동코드)_전체본.xls',0) dt_dong = dt['법정동명'] dt_dong_new = [] for i in dt_dong: if i[-1] == '동': dt_dong_new.append(i) query = [] for i in dt_dong_new: query.append(i+' 제조업 > 기계, 장...
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import json import pytest from indy_common.constants import JSON_LD_CONTEXT, RS_CONTEXT_TYPE_VALUE, RICH_SCHEMA, RICH_SCHEMA_ENCODING, \ RICH_SCHEMA_MAPPING, RICH_SCHEMA_CRED_DEF, RS_CRED_DEF_TYPE_VALUE, RS_MAPPING_TYPE_VALUE, \ RS_ENCODING_TYPE_VALUE, RS_SCHEMA_TYPE_VALUE, RICH_SCHEMA_PRES_DEF, RS_PRES_DEF_T...
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import os from tests import Test, TestStep, TestArgument from datetime import timedelta import pings class PingTest(Test): """Ping test class. It measures the time needed for a single ICMP probe to check server availability. """ TEST_NAME = 'ping' TEST_HELP_DESCRIPTION = "Test if given hos...
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# Generated by Django 3.0.4 on 2020-07-14 17:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('text', '0016_auto_20200713_1111'), ] operations = [ migrations.CreateModel( name='TMPSRQ', fields=[ ...
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from django.db import models # Create your models here. class Contact(models.Model): name = models.CharField(max_length=122) email = models.CharField(max_length=122) phone = models.CharField(max_length=12) desc = models.TextField() date = models.DateField()
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from decimal import Decimal from . import microsoft_base from redington import settings from cloudtemplates.models import CloudRates from billing.models import CloudServiceConsumptions from customers.models import Customers, CloudAccounts from products.models import Products, VendorDetails from django.db.models import...
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#!/Users/mujahid/Documents/Django/Personal_Portfolio_/My_Personal_Portfolio/venv/bin/python # When the django-admin.py deprecation ends, remove this script. import warnings from django.core import management try: from django.utils.deprecation import RemovedInDjango40Warning except ImportError: raise ImportErr...
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import csv import email.utils import json import logging import os import sys from datetime import datetime from pprint import pprint from dotenv import load_dotenv from pymongo import MongoClient from geoprocess.find_psma import find_lga, find_sa3 from geoprocess.google_geo import google_geocode, lookup_placeid, pla...
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import streamlit as st import pandas as pd def get_data_from_df(df): selected_values = df.iloc[:10,:].values return str(selected_values) @st.cache(suppress_st_warning=True) def load_csv_df(uploaded_file): df = None if uploaded_file != None: #uploaded_file.seek(0) df = pd.rea...
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import inspect import sys import time from functools import lru_cache from strategery.exceptions import TaskError, StrategyError from strategery.logging import BypassLogger from strategery.strategy import get_strategy from strategery.tasks import Task, get_key logger = None def execute(*args, targets, input=None, pr...
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class Solution: def removeInvalidParentheses(self, s): def valid(s): left = 0 for c in s: if c == '(': left += 1 elif c == ')': left -= 1 if left < 0: return False ...
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""" ASGI config for TreningDjango project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO...
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import pygame from pygame.sprite import Sprite class Alien(Sprite): """Класс представляющий одного пришельца""" def __init__(self, ai_settings, screen): """Инициализирует пришельца и задает его начальную позицию""" super(Alien, self).__init__() self.screen = screen self.ai_set...
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# Generated by Django 3.0.7 on 2020-08-26 12:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('orders', '0009_auto_20200826_1027'), ] operations = [ migrations.AlterField( model_name='order', name='delivery_type...
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inputq = open('test.txt', 'r') s=inputq.readline() print (s) ss=input() print(ss)
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""" 用for循环实现1~100之间的偶数求和 Version: 0.1 Author: 骆昊 Date: 2018-03-01 """ # 步长是2 sum = 0 for x in range(2, 101, 2): sum += x print(sum)
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# Generated by Django 3.2 on 2021-04-11 12:30 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('news', '0001_initial'), ] operations = [ migrations.AlterField( model_name='post', name='slug', field=mode...
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# -*- coding: utf-8 -*- import constants as CONST import numpy as np import matplotlib.pyplot as plt import matplotlib.patches as mpatches class StateTracker(): def __init__(self): #keeping track of oldest state so I can remove it #before inserting the most recent state self.frame_histo...
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# coding: utf-8 from core import Weapon def _new_weapon_class(name, max_range, damage_range): '''Create new weapon class.''' class NewWeapon(Weapon): def __init__(self): super(NewWeapon, self).__init__(name, max_range, ...
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def diff21(n): if(n > 21): return abs(n-21) * 2 else: return abs(n-21)
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# -*- coding: utf-8 -*- """ Created on Thu Jun 11 09:23:07 2020 This file needs three packages:numpy, matplotlib.pyplt, math. This .py file simulate the behavior of the prism. The geometry of the prism is equilateral triangle. To trace the ray, we use the state of ray to describe. To trace the ray while refrac...
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# Распарсить файл с информацией о платежах, но использовать только те, # где тип платежа out, также не все строки могут быть в корректном формате. # Кто совершал больше всего покупок? На наибольшую сумму? Файл: out_trans_list = [] with open('payments.txt', 'r') as payments_f: for line in payments_f: new...
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# -*- coding: utf-8 -*- """ Created on Sat May 31 14:14:25 2014 @author: assa """ from cybos_source import Source class EurexJpBid(Source): """ subscribe index option quote """ def __init__(self, code = None): super(EurexJpBid, self).__init__('CpSysDib.EurexJpbid.1') self.type = 'TAQ' ...
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from django import forms from django.contrib import admin from django.contrib.auth.models import Group from django.contrib.auth.admin import UserAdmin as BaseUserAdmin from django.contrib.auth.forms import ReadOnlyPasswordHashField from django.core.exceptions import ValidationError from core.models import MyUser, Nave...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'room.ui' # # Created by: PyQt5 UI code generator 5.6 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.s...
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# This program takes in a user input when running the program as an argument # that number is a key that will shift the associated text that the user enters # next and shifts every letter that amount import sys def main(argv): try: sys.argv[1] == None except IndexError: print("Usage: p...
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def solve(grade): if 2.00 <= grade <= 2.99: return "Fail" elif 3.00 <= grade <= 3.49: return "Poor" elif 3.50 <= grade <= 4.49: return "Good" elif 4.50 <= grade <= 5.49: return "Very Good" elif 5.50 <= grade <= 6.00: return "Excellent" grade_dat...
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#AGC001c def main(): import sys input=sys.stdin.readline sys.setrecursionlimit(10**6) # map(int, input().split()) if __name__ == '__main__': main()
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import collections from .solver import ModelSolver, VarSelectionPolicy __all__ = [ 'NonogramSolver', 'pixmap_shape', 'pixmap_to_nonogram', ] VarInfo = collections.namedtuple('VarInfo', 'size start_value end_value') class NonogramSolver(ModelSolver): def __init__(self, nonogram, **args): ...
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from classic.messaging_kombu import BrokerScheme from kombu import Exchange, Queue broker_scheme = BrokerScheme( Queue('PrintOrderPlaced', Exchange('OrderPlaced'), max_length=1) )
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import cv2 import numpy as np # classifies an array of imgs def knn(img, k=5): # load the data we generated previously training_dir = "C:/Users/gohna/Documents/bioe reu/opentrons/robobench/calibration/pipette_calibration/training" samples = np.loadtxt(training_dir+'/general-samples.data').astype(np.float32) respo...
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import loadcell as lc #import load cell library import RPi.GPIO as GPIO import lcd #import lcd library import kpad #import keypad library import time import os import math import datetime import sys import json #address constant for lines in lcd display LINE_1 = 0x80 LINE_2 = 0xC0 LINE_3 = 0x94 LINE_4 = 0xD4 baseValu...
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#!/usr/bin/env python # BEGIN ALL import rospy from std_msgs.msg import String from geometry_msgs.msg import Twist # BEGIN KEYMAP key_mapping = {'w': [0, 1], 'x': [0, -1], 'a': [-1, 0], 'd': [1, 0], 's': [0, 0]} # END KEYMAP def keys_cb(msg, twist_pub): # BEGIN CB if len(msg.da...
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import re from nltk.corpus import stopwords from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.decomposition import PCA from sklearn.cluster import KMeans import matplotlib.pyplot as plt import numpy as np from sklearn import cluster, datasets import pandas as pd import sys original_labels=np.emp...
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""" Given a list of ingredients `i` and a flavour `f` as input, create a function that returns the list, but with the elements `bread` around the selected ingredient. ### Examples make_sandwich(["tuna", "ham", "tomato"], "ham") ➞ ["tuna", "bread", "ham", "bread", "tomato"] make_sandwich(["cheese", "le...
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from datasets.dataset_path import * def get_training_set(opt): assert opt.datset in ['cityscapes', 'cityscapes_two_path', 'kth'] if opt.dataset == 'cityscapes': from datasets.cityscapes_dataset_w_mask import Cityscapes train_Dataset = Cityscapes(datapath=CITYSCAPES_TRAIN_DATA_PATH, datalist...
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