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from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
from localflavor.us.us_states import STATE_CHOICES
from localflavor.us.models import USStateField
class MoveType(models.Model):
temporary= 'Temporary'
permanent='Permanent'
individual='Individual'
family='Fam... |
# Chocolatey package version checking and packing of package
# Written by Hadrien Dussuel
import os
import subprocess
import json
import urllib.request
import hashlib
import zipfile
import pathlib
import shutil
import functions as func
# Routine de vérification et de paquetage automatique en fonction de la version co... |
# 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 writing, software
# distributed under t... |
'''
Created by auto_sdk on 2013-11-07 12:53:22
'''
from top.api.base import RestApi
class TripJipiaoAgentItinerarySendRequest(RestApi):
def __init__(self,domain='gw.api.taobao.com',port=80):
RestApi.__init__(self,domain, port)
self.company_code = None
self.express_code = None
self.itinerary_id = None
self.it... |
from neteaseSpider.proxy.parsing_html import *
from neteaseSpider.proxy.checking_ip import *
def main():
ipPoolsPath = "ipProxy/ip_pools.txt" # 原始ip保存路径
ipFormatPoolsPath = "ipProxy/ipFormatPools.txt" # 格式化后ip保存路径
ipUsePath = "ipProxy/ipUse.txt" # 可用ip保存路径
open... |
import FWCore.ParameterSet.Config as cms
l1tRawToDigi = cms.EDProducer(
"L1TRawToDigi",
Setup = cms.string("stage2::CaloSetup"),
InputLabel = cms.InputTag("l1tDigiToRaw"),
FedIds = cms.vint32(1352),
FWId = cms.uint32(1),
FWOverride = cms.bool(False),
TMTCheck = cms.bool(True),
... |
import tkinter as tk
import sqlite3
LARGE_FONT=("Verdana",12, "bold")
conn = sqlite3.connect('users.db')
conn.execute("CREATE TABLE IF NOT EXISTS pins(id INT UNSIGNED AUTO_INCREMENT PRIMARY KEY, pin TEXT NOT NULL, balance INT NOT NULL)")
#conn.row_factory = lambda cursor, row: row[0]
#try:
# conn.execute("CREATE ... |
## note: cv2 works with python2. so type in terminal: alias python=python2 after launch
from __future__ import division
import cv2
import numpy as np
from sklearn.metrics import accuracy_score
from namespace import *
def equiv(a, b):
return ((a[0] == b[0]) and (a[1] == b[1]) and (a[2] == b[2]))
def getTP(obj, com... |
import sys
import uinspect
# init the ability to detect static method for main module
uinspect.enable_static_method_detect(uinspect.main_module)
class TestCase(object):
def assert_equal(self, a, b):
if a != b:
raise TestError(str(a) + ' is not equal to ' + str(b))
class TestErr... |
# -*- coding: utf-8 -*-
# @Date : 2019-05-14 16:15:56
# @Author : QilongPan
# @Email : 3102377627@qq.com
import seaborn as sns
import matplotlib.pyplot as plt
sns.set()
tips = sns.load_dataset("iris")
print(tips.head())
|
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.losses import MeanSquaredError
from algorithms.dane.models import AutoEncoder
class PreTrainer(object):
def __init__(self, config):
self.config = config
self.net_input_dim = config['net_input_dim']
self.att_input_dim = con... |
from django.conf.urls import url
from . import views
# Url patterns for this app
urlpatterns = []
|
import os.path
import unittest
import collections
import json
from .. import invitation
from ..base32 import b2a
from ..client import Client
from .. import database
from ..scripts.create_node import create_node
from ..netstring import split_netstrings
class Outbound(unittest.TestCase):
def test_create(self):
... |
import argparse
import json
import os
from glob import glob
from typing import Dict
def load_correlations(input_dir: str, summarizer_type: str, level: str) -> Dict[str, Dict[str, float]]:
correlations_dict = {}
for input_file in glob(f'{input_dir}/*-{summarizer_type}.json'):
name = os.path.basename(in... |
import json
import boto3
from boto3.dynamodb.conditions import Key, Attr
"""
JSON Format:
"token" = "auth token ",
"displayName" = "Steve Nash"
"""
def lambda_handler(event, context):
output = {}
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('PickPocket')
token = event['tok... |
import torch
import numpy as np
from models.basecritic import AbstractCritic
class DenseCritic(torch.nn.Module, AbstractCritic):
def __init__(self, m, n, t, lr=0.001):
"""
max_input is the size of the maximum state size
Let t be the max number of timesteps,
maximum state/action si... |
import socket
from django.core.exceptions import ImproperlyConfigured
hostname = socket.gethostname()
if hostname == "arun-desktop":
from settings_arun import *
elif hostname == "Leoankit":
from settings_ankit import *
elif hostname == "anup-desktop":
from settings_anup import *
elif hostname == "Leonile... |
__author__ = 'martin.majer'
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import h5py
import cv2
root = '/storage/plzen1/home/mmajer/pr4/data/sun_full/SUN397'
storage = '/storage/plzen1/home/mmajer/pr4/data/'
filename = storage + 'sun_img_names.hdf5'
def list_filepaths(root):
... |
"""Необходимо вывести все числа кратные 4 между числами 40 и 60 включительно.
Реализовать 2 варианта:
использовать конструкцию if для определения кратности (цикл с шагом 1, i = i + 1);
без использования конструкции if (шаг цикла на ваше усмотрение).
"""
for i in range(40, 61) :
if i%4==0:
print(i)
for i in... |
from contacts.Group import DGroup
from common import pref
from logging import getLogger; log = getLogger('blistsort'); info = log.info
def grouping():
s = pref('buddylist.sortby', 'none none').startswith
return s('*status') or s('*service')
class SpecialGroup(DGroup):
_renderer = 'DGroup'
def groupk... |
# coding:utf-8
# 经历了诸多实验，终于开始尝试写作基于用户工作满意度的主观分类器
# 其核心思想是基于提取的17维度的用户JS特征，
# 1. 首先，假设全体用户中存在者许多满意度相近的用户，反映在特征空间中，即是相近的样本聚为一个类；
# 2. 全部用户中，所有用户的工作满意度大致存在三种情况，根据正态分布，绝大多数用户的满意度在一个正常范围，少部分高于或者低于这个范围，
# 而我们所关注的即低于这个范围的用户；
# 为了找到这些用户，我们基于高于或等于正常范围的正常用户进行OCSVM训练，而这些用户通过聚类中心的JS分数高于中位数的群簇提供；
# 3. 通过训练OCSVM的样本整体上位于所有用户中上部分，因而其判... |
import scrapy
from scrapy import Request
import re
from ..items import RaidforumsItem
class Quotespider(scrapy.Spider):
name = 'database_posts'
# allowed_domains = ["https://raidforums.com"]
start_urls = [
'https://raidforums.com/Forum-Databases'
]
base_url = 'https://raidforums.com/'
... |
import numpy as np
A = np.arange(12).reshape(3,4)
print(A)
#根据行进行分割
print(np.split(A,2,axis=1)) #根据行分成两组两个列
'''
[array([[0, 1],
[4, 5],
[8, 9]]), array([[ 2, 3],
[ 6, 7],
[10, 11]])]
'''
#等效分割
print(np.split(A, 1, axis=0)) # 根据列分成两组两个列
'''
[array([[ 0, 1, 2, 3],
... |
class Solution:
def twoCitySchedCost(self, costs: List[List[int]]) -> int:
aCitiesDiff = []
bCitiesDiff = []
s = 0
aCount = 0
bCount = 0
for list in costs:
if(list[0]<list[1]):
s += list[0]
aCount+=1
bCitiesD... |
import FWCore.ParameterSet.Config as cms
from Calibration.TkAlCaRecoProducers.AlcaSiStripLorentzAngleHarvester_cfi import *
from DQMServices.Components.EDMtoMEConverter_cfi import *
EDMtoMEConvertSiStripLorentzAngle = EDMtoMEConverter.clone(
lumiInputTag = ("MEtoEDMConvertSiStripLorentzAngle","MEtoEDMConverterLum... |
class ImportanceErrors(Exception):
def __init__(self, data):
self.message = {
"error":{"valid_options":{
"importance":[1,2],
"urgency":[1,2]},
},
"recieved_options":{
... |
"""
This module serves as a web frontend to allow getting requested username
from MySQL via db_connector from a browser (or by json request, too).
made to make testing with selenium easier.
"""
from flask import Flask
import db_connector as db
app = Flask(__name__)
@app.route('/users/get_user_data/<user_id>', meth... |
from setuptools import setup
setup(
name='lenin',
version='0.1',
author=['brainopia', 'gazay'],
packages=['lenin', 'lenin.augmentors', 'lenin.datasets', 'lenin.preloader'],
install_requires=['torchbearer', 'scikit-learn'],
)
|
import curses
screen = curses.initscr()
curses.noecho()
curses.curs_set(0)
screen.keypad(1)
curses.mousemask(1)
screen.addstr("This is a Sample Curses Script\n\n")
while True:
event = screen.getch()
if event == ord("q"): break
if event == curses.KEY_MOUSE:
_, mx, my, _, _ = curses.getmouse()
... |
# http://www.practicepython.org/exercise/2014/03/05/05-list-overlap.html
import random
#a = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
#b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
a = random.sample(range(120), k = 10)
b = random.sample(range(101), k = 8)
#common = set(a).intersection(set(b)) #clean version of the belo... |
from collections import Counter
from numpy import *
with open('hw12Data/digitsDataset/trainFeatures.csv') as f:
inp = f.readlines()
trainFeatures = []
for line in inp:
trainFeatures.append(array([float(x) for x in line.split(',')]))
with open('hw12Data/digitsDataset/trainLabels.csv') as f:
inp = f.readlines()
trai... |
import pytest
def solution_on2(n, arr):
counters = []
for i in range(n):
counters.append(0)
max_ele = float('-inf')
for ele in arr:
if ele > n:
for i in range(n):
counters[i] = max_ele
else:
counters[ele - 1] += 1
if counters... |
class Anima:
def __init__(self, animaTitle):
self.animaTitle = animaTitle
self.season = 1
self.episode = 12
self.currentlyOnEpisode = 1
# getter method for anima title
def get_anima_title(self):
return self.animaTitle
# setter method for anima title
def set_... |
from testPipe import *
from pyspark.ml import Pipeline
from pyspark.ml.classification import *
from pyspark.ml.feature import *
def getSpark():
return SparkSession.builder.getOrCreate()
spark = getSpark()
index = 8
lr = LogisticRegression(regParam=0.1, maxIter=20)
pipeline = Pipeline(stages=[lr])
description = ... |
import time
def warn_slow(func):
def inner(*args, **kwargs):
start = time.time()
result = func(*args, **kwargs)
end = time.time()
duration = end - start
if duration > 2:
print(f"execution of {func.__name__} with {(*args, *kwargs.values())} arguments took more th... |
#!/usr/bin/env python3
import argparse
import collections
import itertools
import math
import sys
def take(c, iterable):
out = []
for x in iterable:
out.append(x)
if len(out) == c:
return out
return out
def skip(c, iterable):
iterable = iter(iterable)
for x in iterable:
if c > 0:
c ... |
#!/usr/bin/env python
from socket import *
import pickle
class remoteXclient:
def __init__(self):
self.cmdstring_list = []
#self.socketup()
#if not self.serverup:
# print "RemoteX Client: server not found. Please start the server on your local machine."
#self.socketdown... |
import sys
sys.stdin = open("D3_5108_input.txt", "r")
T = int(input())
for test_case in range(T):
N, M, L = map(int, input().split())
data = list(map(int, input().split()))
for _ in range(M):
idx, val = map(int, input().split())
data.insert(idx, val)
print("#{} {}".format(test_case + 1,... |
'''
Created on Oct 24, 2016
@author: Noor Jahan Mukammel
Program: set_method: issuperset()
* x.issuperset(y) returns True, if
* x is a superset of y.
* ">=" is an abbreviation for "issuperset of"
* ">" is used to check if a set is a proper superset of a set.
'''
x = {"a","b","c","d","e"}
y = {"c","... |
import sys
"""The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143 ?"""
def isprime(x):
for i in range(x - 1, 2, -1):
if x % i == 0:
return False
return True
def isfactor(num, factor):
return num % factor == 0
def main():
x... |
import math
p=1009
q=3643
n = p * q
φ = (p-1)*(q-1)
tmp_list = []
tmp = 0
dic = {}
for e in range(2, φ):
if (math.gcd(e, φ) == 1):
tmp_list.append(e)
dic[e] = (math.gcd(e-1, p-1)+1) * (math.gcd(e-1, q-1)+1)
for e in tmp_list:
if dic[e] == 9 :
tmp = tmp + e
print(tmp)
|
# Escribir un programa que almacene las asignaturas de un curso
# (por ejemplo Matemáticas, Física, Química, Historia y Lengua)
# en una lista, pregunte al usuario la nota que ha sacado
# en cada asignatura, y después las muestre por pantalla
# con el mensaje En <asignatura> has sacado <nota>
# donde <asignatura... |
__author__ = 'juliewe'
if __name__=='__main__':
filename='/Volumes/LocalScratchHD/juliewe/Documents/workspace/Compounds/data/WNCompounds/teststuff/oneline'
instream = open(filename)
lines=[]
for line in instream:
lines.append(line.rstrip())
fields=lines[0].split('\t')
print len(fields... |
# Copyright 2016 Google Inc. 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 applicable law or ... |
import pandas as pd
data = open("CityTemps.csv")
for row in data:
print(row.split(","))
"""
table = pd.read_csv("CityTemps.csv")
print(table)
print("Fetching only years")
print(table["Year"])
print("----iloc----")
print(table.iloc[1:5])
""" |
#!/usr/bin/python
swiss_websites = []
f = open('input_ex5.txt','r')
for line in f:
line = line.strip()
if line[-3:] == '.ch':
swiss_websites.append(line)
f.close()
print(swiss_websites)
|
import xml.dom.minidom
# 创建文档
doc = xml.dom.minidom.Document()
# 创建节点（属性）：文本
root_node = doc.createElement('books')
name_attr = doc.createAttribute('name')
name_attr.value = '马帅哥'
# ....
txt_node = doc.createTextNode('数据')
# 把属性加入根节点
root_node.setAttributeNode(name_attr)
# 把文本加入节点
root_node.appendChild(txt_node)
# 把... |
class SAMPLESCAN():
def scan(self, axis, start, end, step, exposure):
print("Sample scan for eiger")
## variables
sensor = []
motor = []
prescan_pos = 0
DEBUG=0
## Eiger channels
Eiger_acquire = create_channel_device("PINK:EIGER:cam1:Acquire", type='... |
#!/usr/bin/python3
import minimalmodbus
import serial
import time
class HM310P():
rDepth = 100
def __init__(self):
self.supply = minimalmodbus.Instrument('/dev/dcpowersupply', 1, minimalmodbus.MODE_RTU)
self.supply.serial.baudrate = 9600
self.supply.serial.startbits = 1
self.s... |
import AVFoundation
from PyObjCTools.TestSupport import TestCase, min_os_level
class TestAVCaption(TestCase):
def test_enum_types(self):
self.assertIsEnumType(AVFoundation.AVCaptionAnimation)
self.assertIsEnumType(AVFoundation.AVCaptionDecoration)
self.assertIsEnumType(AVFoundation.AVCapti... |
from django.contrib.auth.models import User
from django.db import models
from datetime import datetime
class TipoMaterial(models.Model):
nombre=models.CharField(max_length=100,blank=True,default=" ")
status=models.BooleanField(default=True)
def __str__(self):
return '{}'.format(self.nombre)
clas... |
# // leetcode 351
# //Given an Android 3x3 key lock screen and two integers m and n, where 1 ≤ m ≤ n ≤ 9, count the total number of unlock patterns of the Android lock screen, which consist of minimum of m keys and maximum n keys.
# //| 1 | 2 | 3 |
# //| 4 | 5 | 6 |
# //| 7 | 8 | 9 |
# //Invalid move: 4 - 1 - 3 - 6
# /... |
# Copyright 2015-2016 Yelp Inc.
#
# 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... |
def aprovacao(n):
return 'aprovado' if n >= 7 else 'reprovado'
if __name__ == '__main__':
print(aprovacao(10))
print(aprovacao(8))
print(aprovacao(6))
print(aprovacao(0))
print(aprovacao(7))
|
# code_report Solution
# https://youtu.be/CvJz_RgTYgU
n = int (input ())
for i in range (n):
x = int (input ())
print (-1 if x % 5 != 0 else (0 if x % 2 == 0 else 1))
|
from django.contrib.auth.models import User
from django.db import models
class FHSUser(models.Model):
user = models.OneToOneField(User, primary_key=True)
is_married = models.BooleanField(default=False)
num_kids = models.IntegerField(default=0)
num_ticket = models.IntegerField(default=0)
profession ... |
import datetime
from pymongo import MongoClient
cl = MongoClient()
db_bank = cl['banking']
db_bank['Calvin'].insert_one({"kid": "Calvin", "type": "deposit", "amount": 6.00, "description": "School and house work", "date": str(datetime.date.today())})
db_bank['Samuel'].insert_one({"kid": "Samuel", "type": "deposit", "... |
# -*- coding: utf-8 -*-
"""
Tests for dnsimple updater. Since we rely on an external library implementing
the actual interfacing with the remote service, the tests in here merely check
the behavior of the Dyndnsc wrapper class.
"""
import unittest
try:
import unittest.mock as mock
except ImportError:
import m... |
import logging
from datetime import datetime as dt
from io import StringIO
import time
import pandas as pd
import psycopg2.extras
import pytz
from tzlocal import get_localzone
from tagbase_server.utils.db_utils import connect
from tagbase_server.utils.io_utils import compute_file_sha256, make_hash_sha256
from tagbase... |
import os
from selenium import webdriver
#chromeDriPath=os.path.abspath(r'E:\Python3\Ptthon3.6Install\Scripts\chromedriver.exe')
driver=webdriver.Chrome()
driver.get("http://www.baidu.com")
print(driver.title)
driver.close()
|
Enoncé
Dans ce challenge, on utilise un format de données qui est une version simplifiée du XML. Les noms des balises ne sont composés que d'une lettre minuscule, une balise ouvrante étant représentée par cette lettre seule et la balise fermante étant représentée par le caractère -, suivi de la lettre.
Par exemple, la... |
from ..core import my_player
class Knight(object):
def skillset(self):
player_level = my_player.get_level()
player_hp = my_player.get_health()
if player_level < 3:
skills_dict = {
"1. Slash: " : player_hp * 1/6,
"2. Heavy Strike: " : player_hp * 1/5
}
return skills_dict
elif player_... |
#looking at profile curves
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
#Switch these out for the appropriate files
directory = '/Users/carmenlee/Desktop/13082020_pip1_1/'
profile = np.genfromtxt(directory +'profile.csv')
horizontal = np.genfromtxt(directory +'horizontal.csv')
frame = np.ge... |
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
import scattertext as st
import time
import scattertext.categoryprojector.pairplot
t0 = time.time()
newsgroups_train = fetch_20newsgroups(subset='train', remove=('headers', 'footers', 'quotes'... |
import pandas as pd
from pandas_datareader import data as pdr
import pymysql, calendar, time, json
from datetime import datetime
from threading import Timer
import pymysql
import sys
import yfinance
class DBUpdater:
def __init__(self):
self.conn = pymysql.connect(host='localhost', user='hong', password='ho... |
import os
import discord
from discord.ext import commands
class SelfRole(commands.Cog):
"""
This class does the following given a message ID on the server:
- For every reaction on the message, it assign a role to the users
who have reacted to the message.
- A mapping of emojis <-> Role can be ... |
import turtle
def up():
turtle.goto(turtle.xcor(),turtle.ycor()+50)
def down():
turtle.goto(turtle.xcor(),turtle.ycor()-50)
def left():
turtle.goto(turtle.xcor()-50,turtle.ycor())
def right():
turtle.goto(turtle.xcor()+50,turtle.ycor())
turtle.onkeypress(up,"w")
turtle.onkeypress(down, "s")
turtle.onkey... |
import os
os.system('mcrl22lps -nfTv ball_game.mcrl2 ball_game.lps')
os.system('lpsuntime -v ball_game.lps ball_gameu.lps')
os.system('lpsrealelm --max=11 -v ball_gameu.lps ball_gamer.lps')
os.system('lps2lts -v ball_gamer.lps ball_game.lts')
|
from MaximumDecisionTree import MaximumDecisionTree
import random
import numpy as np
class RandomForest:
def __init__(self, n_estimator=5, maximum_samples=100, max_depth = 2, sampling_type='bagging'):
self.n_estimator = n_estimator
self.sampling_type = sampling_type
self.maximum_sample = m... |
n = 10
r_shift = n >> 1
print(r_shift)
l_shift = n << 1
print(l_shift)
k = 3
if 7 & (1 << k-1):
print("set")
|
class MyString():
def __init__(self, str=""): # initializes the object
self.str=str
#Returns the current string.
def getString(self):
return self.str
#Returns a string that consists of all and only the vowels in the current string.
#Only letters a, e, i, o, and u (both lower and ... |
import pygame, sys
from random import randint
from pygame.sprite import Sprite
#Game parameters
screen_width = 800
screen_height = 800
black = (0,0,0)
white = (255, 255, 255)
red = (255,0,0)
score = 0
button_down = False
#Initializing game
pygame.init()
screen = pygame.display.set_mode((screen_width, screen_height))
... |
import pyexcel
import json
with open('./courses.json') as json_data:
data = json.load(json_data)
pyexcel.save_as(records=data, dest_file_name="akashi.xls")
|
# - *- coding: utf- 8 - *-
from aiogram import types
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
|
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.core.mail import send_mail
from django.conf import settings
from django.core.urlresolvers import reverse
from contact.forms import *
def contact(request):
if request.method == 'POST': # If the form has been submitted...
... |
from schema import *
from flask import Flask, render_template, request, jsonify, redirect, url_for, flash
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, login_user, logout_user, current_user, login_required, UserMixin
from werkzeug.urls import url_parse
from werkzeug.security impo... |
class Solution:
def uniqueOccurrences(self, arr: List[int]) -> bool:
repeat_dict = {}
comparisons = []
if arr == [] or len(arr) == 1:
return True
for val in arr:
if val not in repeat_dict:
repeat_dict[val] = 1
... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
import skimage.io as io
import skimage.transform as transform
import bound as bo
def main():
foreground=bo.get_foreground()
masknew=foreground.copy()
masknew[masknew>0]=1
background=io.imread('/home/jayasurya/Desktop/storerack.jpg')/255.0
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import base64
from json import JSONDecoder
import simplejson
import requests
import time
key = "your key"
secret = "your secret"
url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
url_add = "https://api-cn.faceplusplus.com/imagepp/v1/mergeface"
def find_face(imgpa... |
from __future__ import print_function
from tensorflow.python.keras.models import load_model
import tensorflow as tf
import numpy as np
from PIL import Image
MODEL_NAME = 'cat10086.hd5'
#MODEL_NAME = 'cattrain3.hd5'
dict={0:'Backward', 1:'Forward', 2:'Left', 3:'Right',4:'Stop'}
graph = tf.get_default_graph()
def cl... |
x < y
x > y
x == y
x >= y
x <= y
x != y
# Compare if two variables point to the same object
x is y
x is not y
# Determine if a value is in a collection
x in collection
x not in collection
|
"""http://www.geeksforgeeks.org/count-triplets-with-sum-smaller-that-a-given-value/"""
import fileinput
inputLines = fileinput.input()
#I didn't manage to solve this one. I looked it up after staring for about an hour.
#Also its currently n^2 and doesn't pass so I'm shelving this one for a day when I've slept.
#Tu... |
"""
编写一个函数来查找字符串数组中的最长公共前缀。
如果不存在公共前缀，返回空字符串 ""。
示例 1:
输入: ["flower","flow","flight"]
输出: "fl"
示例 2:
输入: ["dog","racecar","car"]
输出: ""
解释: 输入不存在公共前缀。
说明:
所有输入只包含小写字母 a-z 。
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/longest-common-prefix
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
"""
class Solution(object):
... |
#-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: libdzyl
#
# Created: 26-05-2014
# Copyright: (c) libdzyl 2014
# Licence: <your licence>
#-------------------------------------------------------------------------------
import ma... |
# Defino mi funcion
def sumar (num1, num2):
return( num1 + num2 )# Retorno el resultado
#region Main
operacion = sumar(4, 5) # A la variable operacion, le voy asignar el resultado de la funcion suma(num1, num2)
print(f"El resultado es: {operacion}")
# Puedo llamar a la funcion, las veces que sea n... |
from django.db import models
# TODO: product's price is separated by packing
class Produk(models.Model):
"""docstring for Product."""
nama = models.CharField(max_length=100)
modal = models.IntegerField(default=0)
harga = models.IntegerField(default=0)
berat = models.IntegerField(default=0)
stok... |
import tensorflow as tf
import numpy as np
from PIL import Image
import scipy.misc
import utils
import model
import segmentizer
import net
#test_path = 'learning/00001.jpg'
#test_path = 'learning2/57.jpg'
#test_path = 'input.jpg'
#learning_list = utils.get_files('resized_img/learning')
learning_list = utils.get_files(... |
class Record:
def init(self, n, s):
Record.name = n
Record.score = s
p = Record()
q = Record()
p.init('123', 20)
q.init('456', 30)
print(p.name, p.score)
|
password=input("Enter a password: ")
capital_letter=0
lower_letter=0
digit_number=0
special_character=0
for c in password:
if c.isupper():
capital_letter=capital_letter+1
elif c.islower():
lower_letter=lower_letter+1
elif c.isdigit():
digit_number=digit_number+1
else:
sp... |
MEDIA_LINKS = [("https://www.facebook.com/sharer.php?u=http://andrewbberger.com", "fa fa-facebook-official" ),
("https://www.twitter.com/share?url=http://andrewbberger.com", "fa fa-twitter-square" ),
("https://www.linkedin.com/shareArticle?mini=true&url=http://andrewbberger.com", "fa f... |
import random
res = random.sample(range(1, 500),10)
res.sort()
print ("Random number list is : " + str(res))
|
#!/usr/bin/env python
"""This script extracts the partition global tags dependency trees from the CondDB Release Notes.
This script is intended to be used with a cgi interface to extract possible
global tags dependency tries from a release_notes.xml file of a Det/SQLDDDB package.
At a web page form the user have to sp... |
"""Create yhbatch jobs in GuangZhou TianHe2 computer cluster.
"""
import os
import stat
import argparse
from datetime import datetime
if __name__ == "__main__":
cmdparser = argparse.ArgumentParser(description="yhbatch jobs")
cmdparser.add_argument("-I", "--input", dest="input", required=True,
... |
import os
from time import localtime, strftime
from flask import Flask, request, render_template, jsonify, redirect, url_for, flash, send_from_directory
from flask_login import LoginManager, login_user, current_user, logout_user, login_required
from flask_socketio import SocketIO, send, emit, join_room, leave_room, c... |
from django.db import models
# Create your models here.
class Employee_Category(models.Model):
name = models.CharField(max_length=255)
abbr = models.CharField(max_length=5)
cost = models.DecimalField(max_digits=7, decimal_places=2)
created = models.DateTimeField(auto_now_add=True, auto_now=False)
updated = model... |
import numpy as np
import pandas as pd
import glob
import os
import numpy as np
import sys
import masstitr_tools as mt
from Bio import Seq
# %%
# ==============================================================
# // parameters
# ==============================================================
# count cutoff threshold
FIL... |
"""
Refer to handout for details.
- Build scripts to train your model
- Submit your code to Autolab
"""
import torch
import torch.nn as nn
import torch.utils.data as data_utils
import torch.nn.functional as F
import numpy as np
import hw2.all_cnn
import hw2.preprocessing
def write_results(predictions, output_file='pr... |
from django.urls import path
from django.conf.urls import url
from apps.user.views import RegisterView, ActiveView, LoginView
app_name = 'apps.user'
urlpatterns = [
url(r'^register/$', RegisterView.as_view(), name='register'), # 注册页面
url(r'^active/(?P<token>.*)$', ActiveView.as_view(), name='active'), ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.IoTBPaaSMerchantOrderInfo import IoTBPaaSMerchantOrderInfo
class AlipayOpenIotbpaasMerchantorderRefreshResponse(AlipayResponse):
def __init__(self):
supe... |
class Person:
self.messages = []
def __init__(self, name):
self.name = name
def addMessage(self, message):
self.messages.append(message) |
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