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class Solution: def minSubArrayLen(self, s: int, nums: list) -> int: min_len = 0 if not nums: return 0 length = len(nums) l = 0 _sum = 0 for i in range(length): # 如果小于,就加进去 r = i + 1 _sum += nums[i] for j in ...
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#!/usr/bin/python -tt # Copyright 2010 Google Inc. # Licensed under the Apache License, Version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # Google's Python Class # http://code.google.com/edu/languages/google-python-class/ """A tiny Python program to check that Python is working. Try running this program from t...
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# CES-22: Programação Orientada à Objeto # Professor: Yano # Código utilizado para Questão 7 da Lista 2 de Python # Escrito por Lucas do Vale Bezerra, COMP-22 class Point: def __init__(self, x=0, y=0): self.x = x self.y = y def reflect_x(self): self.y = -self.y return (self.x,...
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import importlib.util import logging import os import time import random import string import pickle import networkx as nx import numpy as np import torch from tqdm import tqdm from utils.read_config import read_config from utils.train_helper import load_model logger = logging.getLogger('gen') class ContentgenRunn...
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from flask import Flask, request, redirect, render_template, flash from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) app.config['DEBUG'] = True app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://build-a-blog:root@localhost:8889/build-a-blog' db = SQLAlchemy(app) class Blog(db.Model): id =...
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def solution(arr): answer = [] num = arr[0] answer.append(num) for i in range(1,len(arr)): if arr[i] != num: answer.append(arr[i]) num = arr[i] return answer arr = [1,1,3,3,0,1,1] print(solution(arr))
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import socket from noise.connection import NoiseConnection sock = socket.socket() sock.connect(('localhost', 2000)) # Create instance of NoiseConnection, set up to use NN handshake pattern, Curve25519 for # elliptic curve keypair, ChaCha20Poly1305 as cipher function and SHA256 for hashing. proto = NoiseConnection.fr...
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import cv2 from keras.models import load_model import numpy as np import os model_01=r'J:\Udemy\DL\face_mask_detection_pyimagesearch\Face_mask_detector_nkr\Model\face_mask_model_001.h5' model_02=r'J:\Udemy\DL\face_mask_detection_pyimagesearch\Face_mask_detector_nkr\Model\face_mask_model_002_50Epochs.h5' model_0...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import git import gitGraph g = gitGraph.GitGraph(git.GIT(repositoryPath='D:\\otevrenebrno\\otevrenebrno')) #result = g.checkout(git.Branch('master')) #result = g.merge(git.Branch('master')) g.add('master') g.add('origin/document_parser') g.add('origin/angular-leaflet-di...
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# Copyright 2019-2020 Spotify AB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...
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USD = float(input()) currency = USD*1.79549 print(f"{currency:.2f} BGN")
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from flask import Flask from flask import render_template import settings app = Flask(__name__, template_folder='../views') @app.teardown_appcontext def remove_session(ex=None): from app.models.base import Session Session.remove() @app.route('/') def index(): app.logger.info('index') return rende...
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import torch import torch.nn as nn from torch.nn.init import xavier_uniform_,xavier_normal_ from .module.Embedding import Embedding from .util.Logger import logger from . import Constant from . import transformer def build_embedding(opt,word_dict,max_len,for_encoder=True,dtype='sum',tag=None): if(for_encoder): ...
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#!/usr/bin/python3 # Outer code for setting up the linear advection problem on a uniform # grid and calling the function to perform the linear advection and plot. ### The matplotlib package contains plotting functions ### import matplotlib.pyplot as plt import numpy as np # read in all the linear advect...
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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "asan": 0, "coverage": "false", "debug_devtools": "node", "debug_http2"...
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from accessAPIdatabase import * results = getBaseData("mallat", "MALLAT_TEST") #print(results) results = getNewData(False, 27) #print(results)
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secret = 22 ponovi = True while ponovi: guess = int(raw_input("Guess the secret number (between 1 and 30): ")) if guess == secret: print "You guessed it - congratulations! It's number %s :)" % secret # ponovi = False break else: print "Sorry, your guess is not correct... Se...
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import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.decomposition import TruncatedSVD from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.feature_extraction import DictVectorizer, FeatureHasher from sklearn.model_selection import train_test_split from sklearn.metrics...
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from django.conf.urls import url from .. import views from ..v2 import views as views_v2 app_name = 'drones_v2' urlpatterns = [ url(r'^vehicle-categories/$', views.DroneCategoryList.as_view(), name=views.DroneCategoryList.name), url(r'^vehicle-categories/(?P<pk>[0-9]+)$', views.DroneCategoryDetail.as_view(),...
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import matplotlib.pyplot as plt # X and Y must be the same. x = [1, 2, 3, 4, 5] y = [4, 7, 4, 7, 3] # Adding a new line y2 = [5, 3, 2, 6, 2] # Plotting the graph and adding labels to lines plt.plot(x, y, label='Initial Line') plt.plot(x, y2, label='New Line') # Labelling our axes and adding title plt.xlabel('Plot Numb...
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#input one image #detect facial landmarks #show image with detected facial landmarks #show image with normalized facial landmarks import cv2 import numpy as np from FacialLandmarkDetection import * from Database_loader import * #Method is used to get paths for template images def getTemplatePaths(templates_folder, ...
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# This Python file uses the following encoding: utf-8 """autogenerated by genpy from turtlebot3_msgs/SetFollowStateRequest.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class SetFollowStateRequest(genpy.Message): _md5sum = "92b912c48c68248015bb32...
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## Lab Exercise 9/9/2021 Problem 5 ## Author: ## Converts inches to feet and inches #get height from user, convert to int data type and store in height #Add code here #calculate feet and store in variable feet (use integer division) #Add code here #calculate inches and store in variable inches (use rema...
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s1 = [4,99,2,6,7,13,88,76] s2 = [6,88,13,4,99,2,7] from collections import Counter import re s3 = 'abcdea' s4 = 'cookoie' s1_char_count = set(sorted(Counter(list(s3)).items())) s2_char_count = set(sorted(Counter(list(s4)).items())) t = [1,2] from collections import Counter import re def char_count_check(s1,s2): ...
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# coding: utf-8 """ FlashArray REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.24 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re import six import typing from ...
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import unittest from app import app class AppTestCase(unittest.TestCase): def setUp(self): self.tester = app.test_client(self) def login(self, username, password, follow_redirects=True): return self.tester.post('/login', data={'username': username, ...
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""" Evaluation of a given checkpoint in the standard and adversarial sense. Can be called as an infinite loop going through the checkpoints in the model directory as they appear and evaluating them. Accuracy and average loss are printed and added as tensorboard summaries. """ from __future__ import absolute_import fro...
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import click from crypto_cli.util.char import lalpha_ord, is_int_alpha class FullVigenereChiper: def __init__(self, square, key): self.square = square self.key = key def encode(self, plain: bytes) -> bytes: result = [] key_idx = 0 key_len = len(self.key) for c...
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import json def Strings(str): # dictionary--> key value pairs values = {} newArray = [] keys = [] for i in str: newArray.append(i.split(":")) for j in range(0,len(newArray)): if newArray[j][0] in values: values[j][0] = # if...
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import numpy as np import accelerate.cuda.blas as blas import accelerate.cuda.fft as ft from numba import cuda def corr_td_single (x1,x2): c_12 = blas.dot(x1,x2) return c_12 def best_grid_size(size, tpb): bpg = np.ceil(np.array(size, dtype=np.float) / tpb).astype(np.int).tolist() return tuple(bpg) ...
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x=float(input("请输入摄氏度")) f=x*33.8 print("华氏度:",f,"F")
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import pymongo myclient = pymongo.MongoClient("mongodb://localhost:27017/") mydb = myclient["mydatabase"] print(myclient.list_database_names()) dblist = myclient.list_database_names() if "mydatabase" in dblist: print("'mydatabase' found in MongoDB!") # Create a collection ("table") mycol = mydb["customer"] colli...
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# Generated by Django 3.1.3 on 2021-07-14 13:58 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('account', '0016_auto_20210714_1913'), ] operations = [ migrations.DeleteModel( name='CustomUser', ), ]
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from flask import current_app from flask.ext.celery import CELERY_LOCK import pytest from redis.exceptions import LockError from pypi_portal.extensions import db, redis from pypi_portal.models.pypi import Package from pypi_portal.models.redis import POLL_SIMPLE_THROTTLE from pypi_portal.tasks import pypi class FakeD...
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numbers = [7, 5, 8, -1, 2] def own_min(nums): a = nums[0] for i in nums: if i < a: a = i else: pass print (a) own_min(numbers)
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from bcrypt import checkpw from bcrypt import gensalt from bcrypt import hashpw from iep.application.model import Model class User(Model): def __init__( self, uid, created_at=None, updated_at=None, name=None, email=None, is_admin=None, password=None...
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# -*- coding: utf-8 -*- brojPriloga = 0 prilozi = ["ovde", "tamo", "tu", "desno", "negde"] korpus = "Ovde mi je baš lepo. Džunglu ne volim. Ne bih volela da sam tamo. Moje mesto je tu. Tu se osećam kao da sam kod kuće. Stavila sam svoju šoljicu kafe desno, e baš tu." tokeniziraniKorpus = korpus.split(" ") for ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright 2020 Namratha Urs <namrathaurs@my.unt.edu> # # 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/...
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import random import keyboard import sys, os # Used to check operating system and clear the shell # Prints out an array line by line def printMap(j, MAP): for i in MAP: print(MAP[j][0]) j = j + 1 def waitForKey(): keyboard.wait('esc') # Clears Screen (should work on Windows and OSX) def clearScreen(operati...
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def get_nth_triangle(limit): return sum( range(1,limit) ) def get_n_triangles(limit): triangles=[] total=0 for x in range(1, limit+1): total+=x triangles.append(total) return triangles if __name__=="__main__": print('Nth triangle number: {}'.format(get_nth_triangle(10))) ...
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def test_invalid_interfaces(self): event = self.create_sample_event(platform='invalid-interfaces') self.browser.get('/{}/{}/issues/{}/'.format(self.org.slug, self.project.slug, event.group.id)) self.browser.wait_until('.entries') self.browser.snapshot('issue details invalid interfaces')
[ "dg1732004@smail.nju.edu.cn" ]
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#!/usr/bin/python # parse the trace and test # # Author: Shijie Sun # Email: septimus145@gmail.com # Sept, 2016 import time import threading import urllib import urllib2 import Queue import sys import random from itertools import izip TIMEOUT = 3 # timeout restriction for requests UPDATE_DELAY = 2 # delay ti...
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# -*- Encoding: utf-8 -*- # All rights belong to Non-commercial Partnership "Russian National Corpus" # http://ruscorpora.ru import sys import os import xml.sax import codecs import re import time from modules import common import global_trash ignored_columns = ["ex", "dc"] feature_token_re = re.compile("^[a-z0-9_...
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from socket import * from threading import Thread import sys HOST = 'localhost' PORT = 8888 ADDR = (HOST, PORT) Sock = socket(AF_INET, SOCK_STREAM) Sock.connect(ADDR) def recv(): while True: data = Sock.recv(1024) if not data: sys.exit(0) print data Thread(target=recv).start() while True:...
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# Generated by Django 2.2.6 on 2019-10-25 16:56 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('menu', '0004_categories_description'), ] operations = [ migrations.CreateModel( name='AbooutUsModel', fields=[ ...
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/boagent/utils/MyGO.py
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#! /usr/bin/python2.7 # -*- coding: utf-8 -*- """ Created on 2017-4-05 @module: MyGO @used: ssh to server """ import paramiko from MyLOG import MyLog from botasky.utils.MyFILE import project_abdir, recursiveSearchFile logConfig = recursiveSearchFile(project_abdir, '*logConfig.ini')[0] mylog = MyL...
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/checkout/models.py
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import uuid from django.db import models from django.db.models import Sum from django.conf import settings from django_countries.fields import CountryField from products.models import Product from profiles.models import UserProfile class Order(models.Model): order_number = models.CharField(max_length=32, null=...
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class Cliente: def __init__(self, nome, cpf, idade): self.__nome = nome self.__cpf = cpf self.__idade = idade def dados_cliente(self): return {'nome': self.__nome, 'cpf': self.__cpf, 'idade': self.__idade} class Conta(Cliente): def __init__(...
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/DLSecurity/test_SR.py
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data = [] labels = [] data_dim = 2048 mem_units = 21 sampleL = (data_dim/2)*mem_units num_classes = get_data(data, labels, mem_units, sampleL) # load json and create model json_file = open('model.json', 'r') loaded_model_json = json_file.read() json_file.close() loaded_model = model_from_json(loaded_model_json)...
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def check_params(self): 'Check all input params' if (not self.key_id.isdigit()): self.module.fail_json(msg='Error: key_id is not digit.') if ((int(self.key_id) < 1) or (int(self.key_id) > 4294967295)): self.module.fail_json(msg='Error: The length of key_id is between 1 and 4294967295.') ...
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class HttpAdapter(object): def schema(self, schema): raise NotImplementedError() def query(self, query_string, params={}): raise NotImplementedError() def mutation(self, mutate_string, params={}): raise NotImplementedError() def execute(self, query, variables={}): ra...
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fname_input = 'combined_out.tab' class Data: def __init__(self, human_score, my_score): self.human_score = human_score self.my_score = my_score def __repr__(self): return 'Data%s' % repr(self.__dict__) # データ配列作成 with open(fname_input) as data_file: def read_data(): for lin...
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from django.utils.html import format_html from django.contrib import admin from imagekit import ImageSpec from imagekit.admin import AdminThumbnail from imagekit.processors import ResizeToFill from imagekit.cachefiles import ImageCacheFile from ..models.vehicle_model import VehicleModel from .widgets import AdminSmalle...
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count=5 while count>99: print("yes") count-=1 else: print("if") for letter in "python": print(letter)
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import pymongo myclient = pymongo.MongoClient('localhost:27017') mydatabase = myclient["university"] mycollection = mydatabase["fit"] print(mydatabase.list_collection_names())
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""" LeetCode Problem 367. Valid Perfect Square Link: https://leetcode.com/problems/valid-perfect-square/ Written by: Mostofa Adib Shakib Language: Python Observation: 1) Number less than 2 will always form perfect squares so return True. 2) The number will always be in the first half of the array. Hence, we can disca...
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import pyzed.sl as sl def main(): # Create a Camera object zed = sl.Camera() # Create a InitParameters object and set configuration parameters init_params = sl.InitParameters() init_params.camera_resolution = sl.RESOLUTION.RESOLUTION_HD720 # Use HD720 video mode (default fps: 60) # Use a rig...
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# Generated by Django 2.0.4 on 2018-05-31 10:04 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('AppFPBajo', '0002_auto_20180531_1039'), ] operations = [ migrations.CreateModel( name='Filtro_Butterworth', fields=[...
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from parking_camera import ParkingCamera class GateCamera(ParkingCamera): """ Represents a camera at a gate. """ def __init__(self, camera_address): super().__init__(camera_address) @property def _gate_open(self): return not self._can_take_picture @_gate_open.setter def _gate_open(self, value): self...
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"""Functions to help with collections""" import collections def consume(iterator): """Consume the whole iterator to trigger side effects; does not return anything""" # Inspired by this: https://docs.python.org/3/library/itertools.html#itertools-recipes collections.deque(iterator, maxlen=0)
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "rbcar_description" PROJECT_SPACE_DIR ...
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"""Membership model.""" #Django from django.db import models #Project from cride.utils.models import CRideModel class Membership(CRideModel): """Membership model. A membership model is the table that holds the relationship between a user and a circle. """ user = models.ForeignKey('users.User'...
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import math import mock import unittest from robotics.robots.aizek_robot import AizekRobot class TestAizekRobot(unittest.TestCase): ROBOT_WHEEL_RADIUS = 0.025 ROBOT_WHEEL_DISTANCE = 0.1 def setUp(self): self.lmotor = mock.Mock() self.rmotor = mock.Mock() self.wencoder = mock.Mock...
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import pygame from pygame.locals import * import sys SCREEN_SIZE = (640, 480) def load_image(filename, colorkey=None): try: image = pygame.image.load(filename) except (pygame.error, message): print("Cannot load image: {}".format(filename)) raise (SystemExit, message) image = image....
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may ...
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#list, set, dicitonary my_list = [] for char in 'HELLO': my_list.append(char) print(my_list) dict_list = [char for char in 'good morning'] print(dict_list) num_list = [num for num in range (0, 100)] print(num_list) print("divide by 3 with no remainder") num_list3 = [num for num in range (0, 100) if(nu...
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# coding: utf-8 """ Halla I/O <p><strong>Getting Started:</strong></p> <ol type=\"1\"> <li><p>Obtain Credentials (Please Contact Halla to Obtain Credentials):</p> <ol type=\"a\"> <li><p><strong>'serviceAccount'</strong>: Add your Service Account in the <strong>header</strong> for all API requests to the Halla...
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#coding:gbk ''' Created on 2015年9月2日 @author: fxy ''' #朴素贝叶斯分类器 import docclass class naivebayes(docclass.classifier): def docprob(self,item,category): features=self.getfeatures(item) #将所有特征的概率相乘 p=1.0 for feature in features: p*=self.weightedProb(feature, categ...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2017-05-18 18:30 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.Crea...
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#!/usr/bin/env python # coding=utf-8 # Copyright (c) 2016 Satya Mallick <spmallick@learnopencv.com> # All rights reserved. No warranty, explicit or implicit, provided. import os import sys import cv2 import dlib import numpy as np import math from skimage import io import time path = sys.argv[1] # Read points fro...
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from netdev.vendors.base import BaseDevice from netdev.logger import logger import asyncio import re class AlcatelAOS(BaseDevice): """Class for working with Alcatel AOS""" async def _read_until_prompt_or_pattern(self, pattern="", re_flags=0): """Read until either self.base_pattern or pattern is detec...
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directory ="/content/Tensorflow_object_detector/workspace/training_OD/images/jpg" for file_name in os.listdir(directory): print("Processing %s" % file_name) image = Image.open(os.path.join(directory, file_name)) new_dimensions = (224, 224) output = image.resize(new_dimensions, Image.ANTIALIAS) folder = ...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-02-18 08:04 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0002_auto_20170218_0748'), ] operations = [ migrations.AddField( ...
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import torch, os, torchvision import torch.nn.functional as F from torch.utils.data import TensorDataset from PIL import Image import numpy as np from tqdm import tqdm import matplotlib.pyplot as plt from torch.utils.tensorboard import SummaryWriter from stylegan import z_sample from nethook import InstrumentedModel fr...
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def arr_sum(arr,sum): arr.sort() start = 0 end = len(arr) - 1 list = [] count = 0 while start < end: if (arr[start] + arr[end]) < sum: start +=1 elif (arr[start] + arr[end]) > sum: end -= 1 elif (arr[start] + arr[end]) == sum: list.appe...
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from django.urls import re_path from . import consumers from channels.routing import ProtocolTypeRouter, URLRouter from channels.auth import AuthMiddlewareStack websocket_urlpatterns = [ re_path(r'ws/chat/', consumers.ChatRoomConsumer.as_asgi()), re_path(r'ws/(?P<group_name>\w+)/$', consumers.GroupChatConsumer...
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#!/usr/bin/env python # license removed for brevity import rospy import serial import struct import math import time import pygame, time from pygame.locals import * pygame.init() screen = pygame.display.set_mode((640, 480)) pygame.display.set_caption('Pygame Keyboard Test') pygame.mouse.set_visible(0) pygame.key.set_...
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#Question 1 def qn1(): name = input("Enter your name:") index = input("Enter your index number:") class_name = input("Enter your class:") print("Hi, I am {} from class {} and my index number is {}.\nNice to meet you.".format(name,class_name,index)) #Question3 def qn3(): counter = 0 total = 0 ...
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# -*- coding: utf-8 -*- """ sphinx.ext.mathjax ~~~~~~~~~~~~~~~~~~ Allow `MathJax <http://mathjax.org/>`_ to be used to display math in Sphinx's HTML writer -- requires the MathJax JavaScript library on your webserver/computer. :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. ...
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# pylint: skip-file from nasbench_asr.quiet_tensorflow import tensorflow as tf from .phoneme_encoder import PhonemeEncoder def get_utf8_valid_sentence(sentence): return sentence.numpy() def get_corpus_generator(ds): for _, sentence in ds: yield get_utf8_valid_sentence(sentence) def get_encoded_...
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# import pprint import logging import logging.handlers import struct # import readline from datetime import datetime try: import readline except ImportError: import pyreadline as readline class LogBugHandler(logging.Handler): def __init__(self): logging.Handler.__init__(self) def emit(self,...
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import itertools as it import sys import json import re import collections import os from utils import write_to_pickle path = 'data/raw' bipartite_path = 'data/bipartite_challenge' # Generate BiPartites and save as Objects. filenames = os.listdir(path) count = 0 AllDataPidTitleBipartite = {} AllDataPidTrackListBip...
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import argparse import logging import sys import os from configparser import ConfigParser from torch import optim from disvae import init_specific_model, Trainer, Evaluator from disvae.utils.modelIO import save_model, load_model, load_metadata from disvae.models.losses import LOSSES, RECON_DIST, get_loss_f from disva...
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# -*- coding: utf-8 -*- # # azure-storage-python documentation build configuration file, created by # sphinx-quickstart on Fri Jun 27 15:42:45 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerate...
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from TVGL import * import numpy as np Cov = np.array([[5, 1], [1, 7]]) data = np.random.multivariate_normal(np.zeros(2), Cov, 50) data = np.genfromtxt('PaperCode/Datasets/finance.csv', delimiter=',') data = data[0:30,0:10] lamb = 2.5 beta = 12 lengthOfSlice = 10 thetaSet = TVGL(data, lengthOfSlice, lamb, beta, index...
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