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from keras.datasets import reuters
from keras import models
from keras import layers
import numpy as np
import matplotlib.pyplot as plt
from keras.utils.np_utils import to_categorical
def main():
(train_data, train_labels),(test_data, test_labels) = reuters.load_data(num_words=10000)
x_train = vectorize... |
import os
import sys
import pygame
from app.scene.SceneHandler import SceneHandler
from app.settings import *
if __name__ == '__main__':
#Code to check if the code is running from a PyInstaller --onefile .exe
if getattr(sys, 'frozen', False):
os.chdir(sys._MEIPASS)
# Screen
screenSize = (SC... |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 15 10:36:36 2018
@author: MUJ
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#Importing the dataset
data=pd.read_csv("customers.csv")
features=data.iloc[:,3:].values
labels=data.iloc[:,2].values
from sklearn.cross_validation import train_te... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Fast Azimuthal integration
# https://github.com/pyFAI/pyFAI
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# This program is free software... |
from actualizaciones.api import views
from django.urls import path
urlpatterns = [
path(
"<int:seguimiento_pk>/",
views.create_actualizacion,
name="actualizacion-create",
),
path(
"<int:seguimiento_pk>/list/",
views.list_actualizacion,
name="actualizacion-lis... |
# -*- coding: utf-8 -*-
import pathlib
from itertools import tee
import pytest
import requirementslib.models.project
from .test_requirements import DEP_PIP_PAIRS
def pairwise(seq):
a, b = tee(seq)
next(b, None)
return zip(a, b)
PIPFILE_ENTRIES = [entry for entry, pip_entry in DEP_PIP_PAIRS]
PAIRED_PI... |
#!/usr/bin/env python
# coding: utf-8
# # ATSA Model
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader
from tensorflow.keras.preprocessing.text import one_hot
fro... |
from django.db import models
from datetime import datetime
from django.contrib.auth.models import User, auth
# Create your models here.
class categories(models.Model):
category_name = models.CharField(max_length=255)
def __str__(self):
return self.category_name
class sub_categorie(models.Model):
... |
"""
Write a program to ask the user to enter their name and two integers where the second integer is less than the first integer.
Your program must display the following message:
Please enter your first name:
The user enters their first name <FirstName> at this point.
Your program then displays the message:
Hi <Firs... |
from dojosandninjas_app import app
from dojosandninjas_app.controllers import dojos_controller
from dojosandninjas_app.controllers import ninjas_controller
if __name__ == "__main__":
app.run( debug = True )
# http://127.0.0.1:5000/
|
class Solution(object):
def complexNumberMultiply(self, a, b):
"""
:type a: str
:type b: str
:rtype: str
"""
plus_index = a.find('+')
a_real = int(a[:plus_index])
a_image = int(a[plus_index + 1:-1])
plus_index = b.find('+')
b_real = int... |
from collections import defaultdict
def dist(a, b):
return abs(a[0] - b[0]) + abs(a[1] - b[1])
def uniq_min_idx(data):
uniq = True
idx = 0
for i, val in enumerate(data):
if val < data[idx]:
uniq = True
idx = i
elif val == data[idx]:
uniq = False
... |
from torchvision import transforms
from datasets.randaugment import *
from itertools import permutations
def get_data_transforms(purpose='baseline', baseline_flag=0, num_labeled=50):
'''Data augmentation and normalization
Args:
purpose (str): the purpose of the model
Returns:
data... |
# Generated by Django 3.1.2 on 2020-10-28 04:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shop', '0019_auto_20201028_1005'),
]
operations = [
migrations.AlterField(
model_name='product2',
name='pub_date',
... |
#!/usr/bin/env python
#coding=utf-8
import sys, codecs, json, os, ConfigParser, logging
from sklearn.feature_extraction.text import TfidfVectorizer
from SPARQLWrapper import SPARQLWrapper, JSON
from nltk.corpus import stopwords
from nltk.classify import NaiveBayesClassifier
from nltk.classify.scikitlearn import Sklearn... |
#
# @lc app=leetcode id=365 lang=python3
#
# [365] Water and Jug Problem
#
# @lc code=start
class Solution:
'''
Accepted
28/28 cases passed (28 ms)
Your runtime beats 88 % of python3 submissions
Your memory usage beats 68.84 % of python3 submissions (14.2 MB)
Time complexity : O(log(jug1Capacity * jug2Cap... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-24 08:46
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('survey', '0004_auto_20170424_1038'),
]
operations = [
migrations.AlterField... |
#!/usr/bin/env python
#!/usr/bin/env python
""" A chatbot that listens to how peoples' days are going and
recommends a Spotify playlist based on it's interpretation of their mood.
"""
import re
import random
import string
import nltk
from nltk.corpus import stopwords
from EmoClassifier import emo2vec, model, emotions,... |
from pulp import *
m = LpProblem(sense=LpMaximize)
x = LpVariable("x",lowBound=0)
y = LpVariable("y",lowBound=0)
m += x+y
m += x*x -y ==0
m += 0.5 * x -y +1 ==0
m += y == 1
m.solve()
print(value(x),value(y),value(m.objective)) |
# ENGINE
# -------------------------
import random
from typing import Iterable, List
from core.common import Queuer, Player, max_mmr, min_mmr, Lobby, MatchMaker
TEAM_SIZE = 5
class CompositeMatchmaker(MatchMaker):
def __init__(self, find_lobby):
self._find_lobby = find_lobby
def find_lobbies(self,... |
my_list = [i * j for i in range(2, 7) for j in range(2, 7)]
new_list = [el for el in my_list if my_list.count(el) < 2]
print(f'Исходный список {my_list}')
print(f'Новый список {new_list}')
|
from scipy.signal import filtfilt, butter
def butterworth(x, order, freq=0.05):
b, a = butter(order, freq)
return filtfilt(b, a, x)
|
"""Integration tests using YORM as a persistence model."""
# pylint: disable=missing-docstring,no-self-use,misplaced-comparison-constant
import os
from expecter import expect
import yorm
from yorm.types import String
# CLASSES #####################################################################
class Config:
... |
import tensorflow as tf
import numpy as np
from .frame import Frame, Twist
from .rotation import *
from enum import IntEnum
class JointType(IntEnum):
RotX = 0
RotY = 1
RotZ = 2
RotAxis = 3
NoneT = 4
class Joint(object):
def __init__(self, type, origin=None, axis=None, name='', limits=None):
self.type = type
... |
from dictionary.searchbase import SearchBase
import requests
from bs4 import BeautifulSoup
from random import choice
from string import ascii_letters, digits
import re
import json
import time
from django.utils.text import slugify
import pprint
from dictionary import helper
import random
import threading
from dictio... |
from django.db import models
class Arjun(models.Model):
idno=models.IntegerField(primary_key=True)
name=models.CharField(max_length=30)
designation=models.CharField(max_length=30)
salary=models.DecimalField(max_digits=10,decimal_places=2)
image=models.ImageField(upload_to="arjun/")
|
import re
from random import choice
def get_statistics(text: str, triads: list[str]) -> dict:
statistics = {}
for triad in triads:
ones = f"(?=({triad}1))"
zeros = f"(?=({triad}0))"
total_ones = len(re.findall(ones, text))
total_zeros = len(re.findall(zeros, text))
stat... |
#todo make ##todo make #todo make this more general
import maya.cmds as cmds
import random
#delete existing cubes
cubeLs = cmds.ls('myCube*', tr=True)
if len(cubeLs) > 0:
cmds.delete(cubeLs)
#make cube
def createCube():
cube = cmds.polyCube(name='myCube#')[0]
cmds.move(0,0.5,0, cube, r=True)
#make piv... |
import numpy as np
from dl4nlp.utilities import softmax, tanh_gradient
from dl4nlp.preprocessing import build_dictionary, to_indices
from dl4nlp.gradient_check import gradient_check
from dl4nlp.gradient_descent import gradient_descent
from dl4nlp.sgd import bind_cost_gradient, get_stochastic_sampler
from dl4nlp.neural_... |
from robot.megapi import *
right = 1
left = 2
deltaTickRight = 0
def onRead1(level):
print("Encoder1 motor speed Value:%f" %level)
#if( int(level) > 500):
# print("ffffff")
#deltaTickRight = level
def onRead2(level):
print("Encoder2 motor speed Value:%f" %level)
#deltaTickRight = ... |
# 计算器,当用户输入的不是+-*/会抛出异常,并捕捉这个异常
try:
num1 = int(input("请输入整数"))
num2 = int(input("请输入整数"))
op1 = input("请输入+-*/")
if op1 != "+" and op1 != "-" and op1 != "*" and op1 != "/":
raise Exception("请输入正确的+-*/")
if op1 == "+":
print(num1 + num2)
elif op1 == "-":
print(num1 - num2... |
"""
Найдите производителей ПК с процессором не менее 450 Мгц. Вывести: Maker
"""
from queries.models import Product
from django.db import connection, reset_queries
def run():
result = Product.objects.values('maker').filter(pc__speed__gte=450).distinct()
return result
def print_result():
reset_queries()
... |
from django.conf import settings
from redis import Redis
from rq import Queue
from . import RunnerBase
class RedisRunner(RunnerBase):
def run(self, func, *args, **kwargs):
q = Queue(connection=Redis.from_url(settings.REDIS_URL))
return q.enqueue(func, args=args, kwargs=kwargs)
def get(id):
... |
from peewee import *
import datetime
db = SqliteDatabase('proxy.db')
class BaseModel(Model):
class Meta:
database = db
class IPInfo(BaseModel):
ip_port = CharField(unique=True, help_text='ip地址、端口')
http_type = CharField(help_text='协议类型 http/socks')
check_total_count = IntegerField(default=0... |
#dictionary is an unoredered type of collection
# in it key/value pair{key.value}
#dictionary_example = {}
dictionary_example = {'name':'rachel','test_grade':98}
print(dictionary_example.get('name'))
|
#!/usr/bin/env python3
import requests
import sys
def url_encode(url):
out = ''
for c in url:
out += '%' + hex(ord(c))[2:].zfill(2)
return out
ip = sys.argv[1]
r = requests.get('http://' + ip + ':9990' + '/' + url_encode(url_encode('../../data/gonclub.db')))
print(r.text, flush=True)
|
# -*- coding: utf-8 -*-
import json
from flask import Flask, request, Response, jsonify, send_file
from werkzeug.utils import secure_filename
from dblite import *
import os
# prefix = d['SERVER-INFO']['PREFIX']
from dblite import people
from dblite import session
from dblite.consts import SQL_GET_USER_TEMPLATES
from... |
"""
sampleFunction5 class3
absolute value
"""
def absoluteValue(valueIn):
if valueIn >= 0:
valueOut = valueIn
else: #valueIn was -ve
valueOut = -1 * valueIn
return valueOut
print(absoluteValue(-3))
print(absoluteValue(4))
print(absoluteValue(0))
print(absoluteValue(1.345))
print(absoluteV... |
import csv
import sys
import asyncio
from urllib.request import urlopen
from concurrent.futures import ProcessPoolExecutor
from pyppeteer import launch
from requests_html import HTML
def retrieve_jquery_source():
with urlopen('http://code.jquery.com/jquery-latest.min.js') as jquery:
return jquery.read().... |
# coding:utf-8
'''
Created on 2016年12月6日
@author: hasee
test.getmessage.httphandle
'''
from HTMLParser import HTMLParser
class MyHTMLParserLocation(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.items = []
self.flag = False
def handle_startt... |
from django.core.validators import RegexValidator, URLValidator
from django.utils.translation import gettext_lazy as _
class HostnameValidator(RegexValidator):
regex = '^(' + URLValidator.host_re + ')$'
message = _('Enter a valid hostname.')
class HostnameAddressValidator(RegexValidator):
regex = '^(' +... |
from pymotifcluster.clusterwindow import *
# import pytest
# import pytest_benchmark
testing_windows = [
"DSSASPEVVSDLPPSSPKGSPDRHDPSTSSP",
"VREQAVWALGNVAGDSPKCRDLVLSYGAMTP",
"LTSPIPRASVITNQNSPLSSRATRRTSISSG",
"VTPCKGSGDRSLGLTSPIPRASVITNQNSPL",
"AIKASSLSKEGLLFGSPKLSGGSSLYGKLQQ",
"GSFRKNLDTKDAIISSPKLMESGSGKLP... |
# Generated by Django 2.1.5 on 2019-03-07 08:59
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('users', '0008_first_year_first_semester_bsba_first_year_second_semester_bsba_fourth_year_first_semester_bsba_fourt'),
]
operations = [
migrations.Re... |
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # 不显示警告
tf.compat.v1.disable_eager_execution() # tensorflow2 使用旧版本功能需要调用该方法
def demo1():
# 构建图：
a=tf.constant(2,name='a') # 设定常量
b=tf.constant(3,name='b')
c=tf.add(a,b,name='c')
print(a,'\n',b)
print(c)
print(a.... |
import argparse
import glob
import json
import os
import time
import math
import openai
import shutil
import pathlib
languages_to_run = {'C', 'C#', 'C++', 'Go', 'Java', 'JavaScript',
'PHP', 'Python', 'Ruby', 'Rust', 'Scala', 'TypeScript'}
# The private OpenAI API key needs to be an environment va... |
# -*- coding: utf-8 -*-
import os
import random
trainval_percent = 1 # 用于训练验证的数据比例
train_percent = 0.8 # 用于训练验证的数据中，训练数据所占比例
xmlfilepath = '/PycharmProjects/lx/data/xml' # 标注信息xml文件路径
txtsavepath = '/PycharmProjects/lx/data/Main' # 文件保存路径
total_xml = os... |
import random
import string
import re
def random_generator(size=6 , chars=string.ascii_uppercase + string.digits):
return ''.join(random.choice(chars) for x in range(size))
"""
def pruebas(request):
# Formulario
if request.method == 'POST':
form = ProPedidoForm(request.POST)
if form.is_... |
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseRedirect
from home_app.models import CreatedPizzas, Toppings, PizzaSize
# Create your views here.
def home(request):
return render(request, 'home.html')
def created_pizza_list(request):
access_pz_list = CreatedPizz... |
from flask import Flask, make_response, request
app = Flask(__name__)
xml_o = """<?xml version="1.0" encoding="UTF-8"?>
<query xmlns:yahoo="http://www.yahooapis.com/v1/base.rng"
yahoo:count="1" yahoo:created="2018-04-21T15:18:32Z" yahoo:lang="en-IN">
<results>
<channel>
<yweather:units
... |
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../..'))
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from django.shortcuts import render
from django.http import HttpResponse
from django.http import request
import nsepy
from mrigwebapp.myhtml import myhtml
import mrigwebapp.for... |
class Solution:
def longestCommonPrefix(self, strs: List[str]) -> str:
result = ''
i = 0
while strs:
j = 1
if i == len(strs[0]):
break
else:
current = strs[0][i]
while j < len(strs):
... |
#Dada una secuencia de caracteres sec y un entero r devolver en la variable secRot la secuencia rotada r posiciones a la derecha. Ejemplo: si sec="abbcd" y r=3 entonces en secRot="bcdab"
sec = raw_input("Ingrese una secuencia de letras:")
N = int(input("Ingrese el numero de rotaciones hacia la derecha: "))
i = 0
newT... |
from .base import *
DEBUG = True
ALLOWED_HOSTS = []
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'openmind',
'USER': 'oliver',
'PASSWORD': 'yugiho2000',
'... |
# coding=utf-8
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import time
import os
import shutil
# 清空log文件
filelist = []
rootdir = "./model/tensorflowlogs/"
for f in os.listdir(rootdir):
filepath = os.path.join(rootdir, f)
if os.path.isfile(filepath):
os.remove(filep... |
print("*"*5,"Menu Harga Buah-Buahan","*"*5)
DaftarBuahBuahan = {
"apel" : 5000,
"jeruk" : 8500,
"mangga" : 7800,
"duku" :6500
}
print(DaftarBuahBuahan)
print("-"*50)
def BeliBuah():
memilih = input("Nama buah yang dibeli = ")
while True :
try:
if memilih in D... |
import json
from django.http import HttpResponse
from django.shortcuts import render, redirect, get_object_or_404
from django.views.generic.list import ListView
from cafe.models import Cafe
from forms.forms import SearchForm, CafeRegistrationForm
class CafeleListView(ListView):
template_name = 'home.html'
m... |
import math
def solve(goal, searchRange):
table = []
i = 0
n = searchRange
for i in range(n + 1):
if i == 2 or i % 2 == 1:
table.append(1)
else:
table.append(0)
maxN = int(math.sqrt(n)) + 1
i = 1
while i < maxN:
i += 2
if table[i] == 0... |
import sys
def snip_special_characters(word):
word_new = ""
for char in word:
if char.isalpha() or char == "-":
word_new += char
return word_new
file_handler = open(str(sys.argv[1]))
word_counts = {}
for line in file_handler:
line = line.rstrip()
words = line.split(" ")
... |
# Main UIButton Class. Made for subclassing for other buttons
# Whole button is being drawn with code, no images in sight! Woo!
import pygame
from noticer import *
from constants import *
from UIView import *
class UIButton(UIView):
def __init__(self, dimensions, parent):
cont = constants()
UIVi... |
import tornado.httpserver
import tornado.ioloop
import tornado.web
import tornado.options
import os.path
from pymongo import MongoClient
import hashlib
from tornado.options import define, options
define("port", default=8888, help="run on the given port", type=int)
def role(array):
def _role(method):
def ... |
'''
---------크롤링의 방법----------
원하는 웹페이지에 접속 -> html 데이터를 분석한다
받아온 html 데이터를 분석가능한 형채로 가공한다 -> 원하는 데이터를 추출한다.
'''
import requests
from bs4 import BeautifulSoup
from requests_html import HTMLSession
# session = HTMLSession()
# response = session.get("https://www.naver.com")
# print(response.html.links)
response = re... |
import ui
from plistlib import *
from random import randrange
import speech
import sound
from time import sleep
'''fileName is the plist to import'''
fileName = 'Bitsboard.plist'
#fileName = 'LPDB00/Bitsboard.plist'
class Phototouch (ui.View):
def __init__(self):
self.name = 'Photo Touch' ... |
# Generated by Django 2.0.3 on 2018-04-01 20:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('filmsApi', '0002_auto_20180401_2252'),
]
operations = [
migrations.AddField(
model_name='film',
name='actors',
... |
#
"""
Base class for episodic reinforcement learning agents.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from texar.agents.agent_base import AgentBase
# pylint: disable=too-many-instance-attributes
class EpisodicAgentBase(A... |
"""Datasets from metadat."""
import json
import os.path as op
import pandas as pd
from pymare.utils import get_resource_path
def michael2013():
"""Load a dataset of studies on the persuasive power of a brain image.
This dataset was published in :footcite:t:`michael2013non`,
and was curated in metadat :... |
import numpy as np
import cv2
import math
h=300
w=300
cap = cv2.VideoCapture(0)
SUN_LOC=(200,40)
SUN_RSIZE=15
ORBITAL_R=10
def Orbiral(frame,Centerloc,orbit_r,size_r,phi,color):
x_orbit=Centerloc[0]+int(orbit_r*np.cos(np.deg2rad(phi)))
y_orbit=Centerloc[1]+int(orbit_r*np.sin(np.deg2rad(phi)))
... |
# https://leetcode.com/problems/maximum-subarray/description/
# solution:
# https://en.wikipedia.org/wiki/Maximum_subarray_problem#Kadane's_algorithm_(Algorithm_3:_Dynamic_Programming)
class Solution:
def maxSubArray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
ma... |
import sys
import math
# def reverse(num):
# return num[::1]
def toBaseN(num, base):
baseN = []
highestPower = 0
while pow(base, highestPower) < num:
highestPower += 1
for i in range (highestPower, -1, -1):
baseToPower = pow(base, i)
baseN.append(math.floor(num/baseToPower... |
"""
Build your Deep Neural Network: Step by Step
"""
import numpy as np
import h5py
import matplotlib.pyplot as plt
from testCases import *
from dnn_utils import sigmoid, sigmoid_backward, relu, relu_backward
#%matplotlib inline
#plt.rcParams['figure.figsize'] = (5.0, 4.0) # set default size of plots
#plt.rcParams['i... |
from logging import getLogger
import requests
from django import forms
from django.conf import settings
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from friendly_captcha.widgets import FrcCaptchaWidget
logger = getLogger('django.friendly_captcha')
class... |
import math
def computeForSevereImpact(data):
average_Daily_Income_InUSD = data['region']['avgDailyIncomeInUSD']
average_Daily_Income_population = data['region']['avgDailyIncomePopulation']
time_to_elapse = data['timeToElapse']
reported_cases = data['reportedCases']
total_hospital_beds = data['tota... |
import django_rq
from django.conf import settings
from django.core.mail import send_mail
from django.db.models.signals import post_save
from django.utils.translation import ugettext_lazy as _ul
from tastypie.api import Api
from tastypie import fields, utils
from tastypie.models import ApiKey
from tastypie.utils impor... |
import pygame as pg
from .. import prepare
from .ramp import Ramp, Hill
from .windmill import Windmill
HOLE_INFO = {
1: {"ramps": [((855, 279, 373, 27), (0, -1)),
((855, 347, 373, 48), (0, 1))],
"hills": [],
"ball pos": (150, 200),
"cup ... |
from numba import jit, uint32
import numpy as np
from timeit import timeit
@jit(nopython=True, cache=True)
def go_fast(): # Function is compiled to machine code when called the first time
x = np.arange(100, dtype=np.uint32).reshape(10, 10)
trace = 0
for i in range(x.shape[0]): # Numba likes loops
... |
import os
import json
import re
import datetime
def processSource(source, f):
posts = open("data2/"+source+"_2.json", mode='r', encoding='utf-8')
data1 = json.load(posts)
file3 = open('data3/confessions.csv', 'a', encoding='utf-8')
for post in data1:
month = str(int(post["time"][5:7]))
college = post["c... |
from django.contrib import admin
from .models import Priority, Todo
class PriorityAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'order')
admin.site.register(Priority, PriorityAdmin)
admin.site.register(Todo)
|
import requests
import argparse
class RxnormClassMeds():
def __init__(self, classid):
self.classid = classid
r = requests.get(f'https://rxnav.nlm.nih.gov/REST/rxclass/classMembers.json?classId={classid}&relaSource=ATC')
drugs = r.json()['drugMemberGroup']['drugMember']
self.drug_di... |
>>> # menentukan bilangan genap
>>> genap = lambda x: x%2 == 0
>>> list(filter(genap, range(11)))
[0, 2, 4, 6, 8, 10] |
def knapsackwithoutrepsbu(weight, count, items):
A = [0] * (weight + 1)
B = [0] * (weight + 1)
A[0] = 1
for i in range(count):
for j in range(weight, items[i] - 1, -1):
if A[j - items[i]] == 1:
A[j] = 1
B[j] = items[i]
k = weight
while A[... |
from random import *
l = []
for i in range(50):
l.append(randint(1, 100))
print(l)
l.sort()
print(l[0], l[1])
print(l[-2], l[-1]) |
import getpass
import warnings
import netrc
import os
from .system import SYSTEM
from . import config
__CACHE__ = None
def _filename(filename=None):
if filename is None:
if SYSTEM == 'win':
filename = os.path.join(os.environ.get("USERPROFILE"), "_netrc")
else:
filename = ... |
from .models import Department, User, Question, Answer
from django.contrib.auth.admin import UserAdmin
from django.contrib import admin
from django.utils.translation import gettext, gettext_lazy as _
class UserInlineInDepartment(admin.TabularInline):
model = User.departments.through
extra = 0
class AnswerInl... |
from points import Point
from math import sqrt
class Triangle:
def __init__(self, x1=0, y1=0, x2=0, y2=0, x3=0, y3=0):
self.pt1 = Point(x1, y1)
self.pt2 = Point(x2, y2)
self.pt3 = Point(x3, y3)
def __str__(self):
output = "[(" + str(self.pt1.x) + ", " + str(self.pt1.y) + "), (... |
from PyObjCTools.TestSupport import TestCase
import SharedWithYouCore
class TestSWAction(TestCase):
def test_constants(self):
self.assertIsTypedEnum(SharedWithYouCore.SWCollaborationIdentifier, str)
self.assertIsTypedEnum(SharedWithYouCore.SWLocalCollaborationIdentifier, str)
|
import math
import os
import sys
import cv2
import numpy as np
class Line(object):
def __init__(self, a, b, c):
self.a = a
self.b = b
self.c = c
self._norm = (a**2 + b**2) ** 0.5
self._const_arg = None
self._const_val = None
@classmethod
def from_coords(cl... |
'''
Created on Feb 6, 2019
@author: Arun Sarita
'''
import POM
import naukari_homepage
import time
from selenium.webdriver.common.action_chains import ActionChains
import login
time.sleep(5)
main_m=POM.f_xpath('/html/body/div[1]/div/div/ul[2]/li[2]/a/div[2]')
action1=ActionChains(POM.driver)
action1.move_to_element(m... |
from django.apps import AppConfig
class StudentRegisterationConfig(AppConfig):
name = 'student_registeration'
|
import sys
import math
T=int(sys.stdin.readline().strip())
while T :
T-=1
K=int(sys.stdin.readline().strip())
papers=list(map(int,sys.stdin.readline().strip().split(' ')))
maximum = math.inf
matrix = [[maximum] * (K+1) for _ in range(K+1)]
subsum=[0] *(K+1)
for i in range(1,K+1):
... |
import csv
from app import app
from app.models import db, Category, Dish
with app.app_context():
category_entities = []
with open('delivery_categories.csv') as f:
reader = csv.reader(f)
for category_id, title in reader:
if category_id == 'id':
continue
c... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import datetime
import re
from PIL import Image
import numpy as np
class ImageConverter:
""" 画像変換クラス """
def __init__(self,files=[]):
# コンストラクタ
self.files = files
if self.files is None:
print("Error:file is empty")
r... |
#!/usr/bin/env python3
import numpy as np
import tensorflow as tf
import sys, os
from decimal import Decimal
import hm_prep as hm
import ms_prep as ms
import random
############ Model Selection ############
HM_POS_PATH = 'data/human/omni_polyA_data/positive/'
HM_NEG_PATH = 'data/human/omni_polyA_data/negative/'
MS_P... |
from .abc import BaseModel, MetaBaseModel, db
class Measure(db.Model, BaseModel, metaclass=MetaBaseModel):
"""Model class for measure."""
id = db.Column(db.Integer(), nullable=False, primary_key=True)
country_id = db.Column(db.Integer,
db.ForeignKey('country.id', ondelete='CASC... |
# -*- coding: utf-8 -*-
import json
import subprocess
import time
def getLength(filename):
command = ["ffprobe", "-loglevel", "quiet", "-print_format", "json", "-show_format", "-show_streams", "-i",
filename]
result = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subproce... |
"""
This will autopatch machines using landscape
Todo:
Look at ways to make systems patched at different times get the same packages.
Manage reboots - canonical suggest polling for the need reboot flag (yuck)
The configuration.py file should be a copy of configuration.py.template
The copy should have the details ... |
from flask import abort, jsonify, request
from __main__ import app, db
from models import StoredImage, User
@app.route('/admin/news/add/feature_image', methods=['POST'])
def ajax_admin_news_add_feature_image():
# Get the signed in User (if there's one), or None
user = User.get_signed_in_user()
if user is None:
... |
# from django.test import TestCase
# from blog.forms import CommentForm
# class CommentFormTest(TestCase):
# @classmethod
# def setUpClass(cls):
# cls.valid_data = {
# "name": "Subhan",
# "email":"subhanrzayev97@gmail.com",
# "message":"Write this comment"
# ... |
#!/usr/bin/python3
import smbus
bus = smbus.SMBus(1) # 0 = /dev/i2c-0 (port I2C0), 1 = /dev/i2c-1 (port I2C1)
DEVICE_ADDRESS = 0x18 #7 bit address (will be left shifted to add the read write bit)
DEVICE_REG_MODE1 = 0x00
DEVICE_REG_LEDOUT0 = 0x1d
#Write a single register
r = bus.write_byte_data(DEVICE_ADDRES... |
from django.contrib import admin
# Register your models here.
from .models import Person, Book
class PersonAdmin(admin.ModelAdmin):
# listdisplay设置要显示在列表中的字段（id字段是Django模型的默认主键）
list_display = ('id', 'name', 'age', 'email', 'data',)
# list_per_page设置每页显示多少条记录，默认是100条
list_per_page = 50
# ordering设... |
'''
Домашнее задание N8
Создать класс для представления трехмерных векторов (обычных евклидовых).
С помощью специальных методов: "__add__", "__mul__", "__abs__", "__bool__", "__str__"
- определить сложение векторов, умножение вектора на число, длинна вектора, булево значение
(True - если длинна > 0) и строковое предста... |
import tushare as ts
import datetime
import pandas as pd
import numpy as np
import struct
import os
import math
from statistics import mean
from numba import jit
from numba.typed import List
tushare_token = '1e405fa29516d0c96f66ee71f4f2833b31b566cd6ad4f0faa895c671'
#获取上证综指历史数据，含市净率，市盈率
def get_shanghai_from_tushare()... |
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