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import os
from keras.layers import Dense,Input,LSTM,Bidirectional,Activation,Conv1D,GRU
from keras.callbacks import Callback
from keras.layers import Dropout,Embedding,GlobalMaxPooling1D, MaxPooling1D, Add, Flatten
from keras.preprocessing import text, sequence
from keras.layers import GlobalAveragePooling1D, GlobalMax... |
from mrjob.job import MRJob
import re
class MRImageCount(MRJob):
def mapper(self, _, line):
match_ext = {"png", "jpg", "gif"}
request = re.search(r"GET[A-Za-z_\/. 0-9]*HTTP",line)
if request:
for i in match_ext:
if i in request.group().lower():
yield(i, 1)
def reducer(self, ext, occurances):
yield... |
#!/usr/bin/env python
# coding:utf-8
# @Time :11/24/18 10:45
import json
import sys
import time
import click
sys.path.append("..")
sys.path.append("../..")
sys.path.append("../../..")
from lxml import html
from tqdm import tqdm
import requests
from common.logger import AppLogger
from configs.mongo_config impor... |
from scipy.spatial import distance as dist
from imutils import perspective
from imutils import contours
import numpy as np
import argparse
import imutils
import cv2
import cv2, time
from os import system, name
import json
from PyQt5 import QtWidgets
from PyQt5 import QtGui
from PyQt5 import QtCore
from PyQt5.QtWidgets... |
#!/usr/bin/python3
"""
Island Permiterer Module
"""
def island_perimeter(grid):
"""
Method to find the perimeter of an instance
"""
val = 0
for x in range(0, len(grid)):
for y in range(0, len(grid[x])):
if (grid[x][y] == 1):
p = 4
if (grid[x][y -... |
from django import forms
from .models import Product
class ProductForm(forms.ModelForm):
# sections = forms.CharField(max_length=20)
class Meta:
model = Product
fields = ['name',
'price',
'image',
'type',
'discount',
... |
from typing import List
from fastapi import APIRouter
from todoberry.models import Item, ItemsList
from todoberry.services import ItemService, ListService
items_router = APIRouter()
lists_router = APIRouter()
@items_router.get("/", response_model=Item)
def get_items(list_id: str):
return ItemService.get_items(... |
'''
Created on Apr 23, 2019
@author: facebook
'''
def f(list):
l = []
for i in list:
if i not in l:
l.append(i)
for i in l:
print i,
list = ['pink','pink','blue']
print("the unique values from list is")
f(list)
'''
x = input("Please enter a sent... |
ABOUT = 'Time tracker application'
_cmd = [
('lap or l', 'make new lap'),
('end or e', 'exit'),
('anything else', 'lap title'),
]
COMMANDS: str = '\n'.join(
[' - '.join(list(map(lambda e: f"{e:<13}", l))) for l in _cmd])
class TYPES:
WORK = 'work session'
RELAX = 'chill'
|
#pymysql安装：pip install pymysql
#在命令行启动mysql(service mysql start),在python文件中使用pymysql连接
import pymysql
db_info = {
'host': 'localhost',
'port': 3306,
'user': 'root',
'password': '123',
'db': 'text'
}
sqls = ['select 1', 'select VERSION']
result = []
class ConnDB:
def __init__(self, db_info, s... |
from django.conf.urls import url
from django.urls import path
from django.views.generic.base import RedirectView
from . import views
from django.contrib.staticfiles.storage import staticfiles_storage
urlpatterns = [
path('', views.HomeView.as_view(), name="home"),
path('<slug:slug>', views.download, name='down... |
from numpy import*
x=array(eval(input("numeros:")))
soma=0
d=0
for i in range(size(x)):
soma+=x[i]
media=soma/size(x)
from math import*
for i in range(size(x)):
d=d+(x[i]-media)**2
k=size(x)-1
j=sqrt(d/k)
print(round(j,3)) |
#code to calculate the PDF for the p value calculation of the SM using 144 bins
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import quad
import cevns
import cevns_accelerators as acc
import coherent_CsI_real as csir
from scipy.interpolate import interp1d
from scipy.optimize import minimize
#... |
#!/usr/bin/env python
import random
def create_random_number():
lgth = int(raw_input("How many digits long should the number I think of be? "))
try:
answer = random.sample(range(10),lgth),
except ValueError:
print "Can't be more than 10 digits long."
create_random_number()
except TypeError:
print "That's ... |
# Licensed under an MIT style license -- see LICENSE.md
import plotly.graph_objects as go
import plotly
__author__ = ["Charlie Hoy <charlie.hoy@ligo.org>"]
def write_to_html(fig, filename):
"""Write a plotly.graph.objects.go.Figure to a html file
Parameters
----------
fig: plotly.graph.objects.go.F... |
import time
import sys
import datetime
from poloniex import poloniex
def main():
#initializations / customizables
period = .5 #how often program runs in seconds
#pairtrio = btc, xmr, zec
#follow naming standard pair1, pair 2, pair1pair2
BTCpair1 = "USDT_BTC"
BTCpair2 = "USDT_STR"... |
#!/usr/bin/env python
# -*- coding=utf-8 -*-
import cv2 as cv
import numpy as np
"""
图像噪声：
图像噪声在模拟信号传输或数字信号传输过程中，图像发生了丢失或收到干扰而产生，亦或是成像设备如摄像头、照相机等的损
坏、环境本身导致的成像质量不稳定，反映到图像上就是图像的亮度与颜色呈现某种程度的不一致性。常见噪声有以下几种：
椒盐噪声： 随机分布在图像中的黑白像素点（使用中值滤波对该类噪声进行处理）
高斯噪声： 成像设备收到物理/光/电等各种型号干扰产生的高斯分布噪... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-25 09:36
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('frontendapp', '0007_college_model_pic'),
]
operations = [
migrations.AddFie... |
"""Configuration file for Trainer
@author: vasudevgupta
"""
class TrainerConfig(object):
default_attrs = [
'fast_dev_run', 'start_epoch', 'epochs', 'load_dir',
'assert_consumed', 'checkpoint', 'save_only_final_ckpts',
'save_every_ckpt', 'saved_ckpts_dir', 'max_ckpt_to_keep', 'project_nam... |
from zeus.util.MsgUtil import MsgUtil
# 微信服务器推送消息是xml的，根据利用ElementTree来解析出的不同xml内容返回不同的回复信息，就实现了基本的自动回复功能了，也可以按照需求用其他的XML解析方法
import xml.etree.ElementTree as et
import logging
logger = logging.getLogger("django.request")
class BusinessController:
def auto_reply(self, body):
xml_data = et.fromstring(bod... |
import pydata_google_auth
class BigQueryConnection:
def __init__(self):
self.SCOPES = [
'https://www.googleapis.com/auth/cloud-platform',
'https://www.googleapis.com/auth/drive',
]
self.credentials = pydata_google_auth.get_user_credentials(self.SCOPES,auth_local_we... |
from .community import DisseminationCommunity
from dispersy.logger import get_logger
from dispersy.script import ScriptBase
from dispersy.tool.lencoder import bz2log
from dispersy.tool.scenarioscript import ScenarioScript
logger = get_logger(__name__)
MASTER_MEMBER_PUBLIC_KEY = "3081a7301006072a8648ce3d020106052b8104... |
import tkinter as tk
from tkinter import ttk
from tkinter.ttk import Progressbar
from tkinter import messagebox
def init_window():
Lista_de_op=[]
window=tk.Tk()
window.title('Mi aplicacion')
window.geometry('400x250')
window.config(bg='SteelBlue1')
label=tk.Label(window,text='Calcu... |
import split_set_data
from sklearn.metrics import roc_curve, auc
import matplotlib.pyplot as plt
from sklearn.externals import joblib
def metric_evaluation_model(classifier, yTest, xTest):
'''
Evaluation the models from the ROC curve (adopted evaluation metric).
'''
# Load pretrained model and ret... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipaySocialAntiepTaskFinishModel(object):
def __init__(self):
self._condition_for_variable_award = None
self._finish_business_info = None
self._request_mode = None
... |
# Generated by Django 3.0.1 on 2019-12-20 01:01
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('index', '0019_city_type_place'),
]
operations = [
migrations.RemoveField(
model_name='city',
name='type_place',
),
... |
from flask import render_template, flash, redirect, session, url_for, request, g
from flask.ext.login import login_user, logout_user, current_user, login_required
from flask.ext.sqlalchemy import SQLAlchemy
from app import app, db, models, lm, oid
from forms import LoginForm, NewTaskForm, TrackDurationForm
from model... |
#!/usr/bin/env python
import pygtk
pygtk.require('2.0')
import gobject
import gtk
import sys
import os
sys.path.insert(1,"/usr/local/lib64/python2.7/site-packages")
import gwy
import re
import numpy as np
from GwyData import GwyData
# Class for navigation
class Infor():
def __init__(self,parent):
self.paren... |
'''
2309번
일곱 난쟁이
'''
a=[]
for i in range(9):
a.append(int(input()))
for i in range(9):
for j in range(i+1, 9):
if a[i]+a[j]==sum(a)-100:
del a[j]
del a[i]
break
if len(a)==7:
break
a.sort()
for i in range(7):
print(a[i]) |
#!/usr/bin/env python3
from lib import digits, prime
def all_ccprimes(s):
for i in s:
for j in s:
if i != j and not prime(int("".join(digits(i)+digits(j)))):
return False
return True
from lib import sieve
c = sieve(10**4)
primes = []
for i in range(len(c)):
if c[i]:
primes.append(i)
print("Sieve do... |
from factorial import factorial
import os
if __name__=='__main__':
os.system('cls')
num=int(input('INGRESE UN NUMERO: '))
factorial(num)
input()
|
# Generated by Django 2.2.3 on 2019-07-30 14:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='radacct',
options={'managed': False, '... |
import numpy as np
from Externals import calculate_gamma_new
from Externals import calculate_T
from single_estimate import single_worker
def DC_estimate(x, n, m, k_n, k_rho, tau):
M1_1_array, M1_2_array, M2_1_array, M2_2_array, M2_3_array = calculate_M(x, m, n, k_n, k_rho)
M1_1, M1_2, M2_1, M2_2, M2_3 = np.mea... |
import sys
sys.path.append("..")
from logs.logutil_file import fastapi_logger
def check_log():
try:
1 / 0
except ZeroDivisionError:
fastapi_logger.exception(1)
if __name__ == "__main__":
check_log()
|
# ------------------------------------------------------------------
#
# Tests for utility module
#
# ------------------------------------------------------------------
import sys
py_path = '../../tools/'
sys.path.insert(0, py_path)
py_path = '../../src/mobility/'
sys.path.insert(0, py_path)
import utils as ut
from... |
from flask import Flask
from flask import request
import requests
import json
import hmac
import hashlib
import sys
import argparse
# 追加
import random
# 定数値
CALLBACK_TOKEN = 'yuya4_callback_token'
PAGE_TOKEN = 'hage'
APP_ID = 'hoge'
APP_SECRET = b'fuga' # bin指定しないとhmacで怒られる
# 引数設定
parser = argparse.... |
import qrcode
# 复杂的生成二维码
def make_code(text):
# version是二维码的尺寸，数字大小决定二维码的密度 error_correction：是指误差
# box_size:参数用来控制二维码的每个单元(box)格有多少像素点
# border: 参数用控制每条边有多少个单元格(默认值是4，这是规格的最小值
qr = qrcode.QRCode(version=5,
error_correction=qrcode.constants.ERROR_CORRECT_L,
... |
from unittest import TestCase
import math
__author__ = 'serhiyk'
def russian_rec(a, b):
return 0 if a == 0 else 2 * russian_rec(a / 2, b) if a % 2 == 0 else b + 2 * russian_rec((a - 1) / 2, b)
def func(a):
return 3 *math.floor(math.log(a, 2)) + 4
class Tester(TestCase):
def test_1_and_1(self):
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
#import sys
#reload(sys)
#sys.setdefaultencoding('utf-8')
#from nltk.corpus import brown
from gensim.models import Word2Vec
import os
import torch
class PretrainedWordVectors():
def __init__(self,corpus,dataname,word2idx,kind='word2vec',dim=300):
path = './wor... |
#change all letters from a to z
#all to upper case
#remove all spaces
def translate(userinput):
userinput=userinput.upper()
userinput=userinput.replace(" ","")
userinput=userinput.replace("A","Z")
print (userinput)
usertext= str(input("Please put whatever word you want to convert"))
translate(usertex... |
from django.shortcuts import render
from rest_framework import generics
from .serializers import CategorySerializer,BookSerializer
from .models import Category,Book
# Create your views here.
class ListBook(generics.ListCreateAPIView):
queryset=Book.objects.all()
serializer_class=BookSerializer
class DetailBook... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
r"""Utility functions."""
import json
import math
import os
from urllib.parse import urlparse
import urllib.request
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import torch
import torch.nn.functional as F
EPSILON_DO... |
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello World!'
@app.route('/dojo')
def dojo():
return 'Dojo!'
@app.route('/say/<name>')
def say_route(name):
return "Hi"+ " " +str(name.capitalize())+"!"
@app.route('/repeat/<int:value>/<name>')
def r... |
import csv
import io
from collections import defaultdict
from datetime import datetime, timedelta
import jinja2
from flask import current_app
from notifications_utils.clients.zendesk.zendesk_client import (
NotifySupportTicket,
NotifySupportTicketAttachment,
NotifySupportTicketComment,
NotifySupportTic... |
# Generated by Django 2.1.5 on 2019-01-24 06:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('pousada', '0005_auto_20190124_0510'),
]
operations = [
migrations.RemoveField(
model_name='blogcomments',
name='last... |
from django import forms
from .models import Assignment
from .models import Course
from .models import Announcement
from .models import Document
class AssignmentForm(forms.ModelForm):
class Meta:
model = Assignment
fields = (
'assignment_name', 'a_description', 'due_date',
... |
import subprocess, time
subprocess.call([r'.\z0b0t.bat'])
time.sleep(15)
subprocess.call([r'.\z0b0tClient.exe'])
time.sleep(15)
|
from django.http import HttpResponse
from django.shortcuts import render,redirect
from django.contrib.auth.models import User
from django.contrib.auth import authenticate,login,logout
from django.contrib import messages
from shop.models import logindata
def homepage(req):
return render(req,"shop/hp.html")
def signu... |
import pandas as pd
import matplotlib.pyplot as plt
dataset = pd.read_csv('50_Startups.csv')
x = dataset.iloc[:,:1]
y = dataset.iloc[:,-1]
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = 0.2,random_state = 0)
from sklearn.linear_model import L... |
'''
Consider a square of the surface area A. Inside of it is an inscribed dartoard.
Now consider we throw some darts onto the square. the ones which hit the darboard are N
the ones which hit the outisde square are M. Total number of darts thrown is N+M
The percentage of darts which hit the dartbboard is f=N/(... |
# coding: utf-8
# 自分の得意な言語で
# Let's チャレンジ！！
import numpy as np
H, W, N = input().rstrip().split(' ')
table = [[0 for i in range(int(W))] for j in range(int(H))]
for h in range(int(H)):
table[h] = list(map(int, input().rstrip().split(' ')))
L = input()
memo = [[0 for i in range(4)] for j in range(int(L))]
for l in ... |
from django.db import models
class UserInfo(models.Model):
uname=models.CharField(max_length=20)
upwd=models.CharField(max_length=40)
uemail=models.CharField(max_length=30)
isValid=models.BooleanField(default=True)
isActive=models.BooleanField(default=False)
class UserAddressInfo(models.Model):
... |
"""
Triplets
Given an array containing N integers, and an number S
denoting a target sum.
Find all distinct integers that can add up to form target
sum. The numbers in each triplet should be ordered in
ascending order, and triplets should be ordered too.
Return empty array if no such triplet exists.
"""
"""
Machine gen... |
S = input()
def f(s):
i = s.find('(')
if i == -1:
return s
result = s[:i]
s = s[i + 1:]
n = 1
for i in range(len(s)):
if s[i] == '(':
n += 1
elif s[i] == ')':
n -= 1
if n == 0:
break
t = f(s[:i])
result += t + t[::-1]... |
#!/usr/bin/python
# Filename: subject.py
class Subject:
def __init___(self):
self.observers = []
def Attach(self, observer):
self.observers.append(observer)
def Dettach(self, observer):
self.observers.remove(observer)
def Notify(self):
for o in observers:
o.Update()
|
from django.conf import settings
def globals(request):
return {
'server_url': settings.SERVER_URL
} |
from gpiozero import Motor
max = 1
medium = 0.7
class Astroby:
"""
all configuration and interface for Astroby
L - Left, R - Right, F - Front, R - Rear
LW - LeftWheels, RW - RightWheels
"""
def __init__(self):
# wheels and their GPIOpins
self.LF = Motor(2, 3, pwm=True)
self.LR = Motor(17, 27, pwm=True)
... |
from django.db import models
from login.models import User
from django.forms import ModelForm
# Create your models here.
class Address(models.Model):
province = models.CharField(max_length=30)
city = models.CharField(max_length=30)
county = models.CharField(max_length=30)
street = models.CharField(max_length=400)
... |
import FWCore.ParameterSet.Config as cms
process = cms.Process("Demo")
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring ('file:/afs/cern.ch/user/f/florez/CMSSW_2_0_4/src/FedFillerWords/Data/mysimple.root')
)
... |
import torch
import torch.nn as nn
class Policy(nn.Module):
"""
implements both actor and critic in one model
"""
def __init__(self):
super(Policy, self).__init__()
self.affine1 = nn.Linear(30, 128)
# actor's layer
self.action_mean = nn.Linear(128, 1)
self.acti... |
import os
import time
import numpy as np
import tensorflow as tf
from tensorflow.keras.callbacks import *
from tensorflow.keras.models import load_model
from .datagen import ImgDataGenerator
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from plotly.offline import init_notebook_mode
init_... |
from setuptools import find_packages, setup
setup(name="filetools",
version="0.1",
description="Helper class to manage files",
author="Jonathan Grizou",
author_email='jonathan.grizou@gmail.com',
platforms=["linux"],
url="https://github.com/jgrizou/filetools",
packages=find_pack... |
from django.urls import path
from . import views
from django.urls import path
from . import views
urlpatterns = [
path('', views.ClosureApproval, name='ClosureApproval'),
] |
#this will return the greatest integer of some real number
greatestInt = lambda n : int(n // 1)
def recursion():
try:
num = float(input("Enter a number : "))
print(f"Greatest Integer of {num} : {greatestInt(num)}")
except Exception:
print("You are a fricking fool, get lost")
ex... |
from django.contrib import admin
from lamp.models import Lamp,ModelLamp
admin.site.register(Lamp)
admin.site.register(ModelLamp)
# Register your models here.
|
from sys import argv
script, file_path = argv
def read_file(file_name):
file_obj = open(file_name)
print(file_obj.read())
file_obj.close()
print(f"读取文件: {file_path}")
read_file(file_path) |
from django.contrib.gis.geos import Point
from django.core import mail
from django.test import TestCase
from djapp.models import HostOrganization
from .factories import CoachFactory, HostOrganizationFactory, MatchingFactory
from djapp.biz.matching import Matcher
def valid_host_data(**overrides):
default = dict(
... |
""" border_app.py
Credit: Rodrigo Sparrapan
sparodrigo82@gmail.com
based on https://github.com/fsoubelet/ColorFrame """
import cv2
import glob
count = 1
path = "s_Top-10/Top_10_a_Olho/*.jpg"
filenames = glob.glob(path)
for filename in filenames:
image = cv2.imread(filename)
... |
# coding=utf-8
"""
timestamp is responsible for [brief description here].
"""
from datetime import datetime
def make_timestamp():
return datetime.now().strftime("%d/%m/%Y %H:%M:%S")
|
n1 = int(input("primeiro número: "))
n2 = int(input("segundo número: "))
mdc = 1
divisor = 2
while divisor <= n1 or divisor <= n2:
if n1>1 and n2>1 and n1 % divisor == 0 and n2 % divisor ==0:
print(int(n1),int(n2),'|',divisor)
n1 = n1/divisor
n2 = n2/divisor
mdc = mdc * divi... |
# -*- coding=UTF-8 -*-
import getpass
class FakeLogin(object):
def __init__(self):
self.name = 'king'
self.password = 'haha'
self.banner = 'Hello'
self.run()
def run(self):
'''仿Linux终端窗口'''
while True:
print 'Login:king'
pw = getpass.getp... |
import tensorflow as tf
def get_cost(logits, labels, weights, regularizer, cfg):
with tf.variable_scope('cost', reuse = tf.AUTO_REUSE):
flat_logits = tf.reshape(logits, [-1])
flat_labels = tf.reshape(labels, [-1])
flat_weights = tf.reshape(weights, [-1])
loss = tf.losses.log_loss(fl... |
from .models import Course, Student
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
# superuser: gldng password: sadece123
# user: mertali password: sadece123123
@login_required
def available_courses(request):
loggedUser = request.user
takenCourses = Course.object... |
from enum import Enum
class Tax(Enum):
zero = 0
eight = 8
ten = 10
@property
def name(self):
if self._value_ == self.zero.value:
return 'なし'
elif self._value_ == self.eight.value:
return '8％'
else:
return '10％'
@property
def rat... |
#!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from std_msgs.msg import Float32MultiArray
class ImuTeleop:
def __init__(self):
# desired velocity for publish
self.cmd_vel = Twist()
# variables for tilt control
self.roll_to_linear_scale = rospy.get_param("... |
'''
Finn은 요즘 수학공부에 빠져 있습니다.
수학 공부를 하던 Finn은 자연수 n을 연속한 자연수들로 표현 하는 방법이 여러개라는 사실을 알게 되었습니다.
예를들어 15는 다음과 같이 4가지로 표현 할 수 있습니다.
1 + 2 + 3 + 4 + 5 = 15
4 + 5 + 6 = 15
7 + 8 = 15
15 = 15
자연수 n이 매개변수로 주어질 때, 연속된 자연수들로 n을 표현하는 방법의 수를 return하는 solution를 완성해주세요.
1 = 1
2 = x
3 = 1+2 1로 시작하는 첫수... 2개짜리.. 1개건너뛰고 나옴 n개자... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'gui/thumbnail.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Thumbnail(object):
def setupUi(self, Thumbnail):
Th... |
# -*- coding: utf-8 -*-
"""thrift文件处理的通用工具"""
__author__ = ["zhaolingzhi@xxxxxxxx.cn", 'PangBo <pangbo@xxxxxxxx.cn>']
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
class FileInOut(object):
def open(self, filepath, mode):
"""打开文件，准备用thrift TBinaryProtocol 读或者写
如果文件名是.bz2... |
import collections
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
"""
:type s: str
:type t: str
:rtype: bool
"""
if len(s) != len(t):
return False
s_counter = collections.Counter(s)
t_counter = collections.Counter(t)
... |
# PYTHON 3
def main():
# YOUR CODE GOES HERE
# Please take input and print output to standard input/output (stdin/stdout)
# E.g. 'input()/raw_input()' for input & 'print' for output
s=input()
print("Hello "+s)
return 0
if __name__ == '__main__':
main()
# PYTHON 2.7
#... |
"""
This method takes an array of items, a page number, and page size and returns a smaller array
>>> pagination([1,2,3,4,5,6,7,8,9,10,11,12], 1, 6)
[1, 2, 3, 4, 5, 6]
>>> pagination([1,2,3,4,5,6,7,8,9,10,11,12], 2, 6)
[7, 8, 9, 10, 11, 12]
>>> pagination([1,2,3,4,5,6,7,8,9,10,11,12], 4, 6)
[7, 8, 9, 10, 11, 12]
>>> p... |
Python 2.7.5 (default, May 15 2013, 22:43:36) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import SpellCheckFinal
>>> import doctest
>>> doctest.testmod(SpellCheckFinal, verbose = True)
Trying:
spellCheck("test1.txt")
Expecting:
{'exercsie': 1, ... |
import torch
from torch import nn
from .feature_extractor import EEG_FeatureExtractor
class Relative_Positioning(nn.Module):
def __init__(self, C, T, k=50, m=13, dropout_prob=0.5, embedding_dim=100, n_spatial_filters=8):
super().__init__()
self.feature_extractor = EEG_FeatureExtractor(C, T, k, m, dropout_pro... |
"""Set estimation (solving the attribution problem)"""
__author__ = 'thor'
from numpy import *
import pandas as pd
import itertools
import ut as ms
import ut.daf.ch
import ut.pmath.poset
import ut.pcoll.order_conserving
from ut.util.uiter import powerset
default = dict()
default['success'] = 'success'
default['trial... |
name = input("What's your name ? > ")
sex = input("What's your sex ? (male/female) > ")
bb = int(input("Input weight (Kg) > "))
tb1 = int(input("Input Hight (Cm) > "))
tb2 = tb1 / 100
bmi = bb / (tb2 * tb2)
def male():
if bmi < 17:
cc = "Thin"
elif bmi >= 17 and bmi < 23:
cc = "Normal"
eli... |
import wan_optimizer
import utils
import tcp_packet
class WanOptimizer(wan_optimizer.BaseWanOptimizer):
""" WAN Optimizer that divides data into variable-sized
blocks based on the contents of the file.
This WAN optimizer should implement part 2 of project 4.
"""
# The string of bits to compare th... |
# path: core/
# filename: content.py
# description: WSGI application content tree
'''
# make python2 strings and dictionaries behave like python3
from __future__ import unicode_literals
try:
from builtins import dict, str
except ImportError:
from __builtin__ import dict, str
Copyright 2017 Mark Madere
License... |
from csv import reader, DictReader
from sys import argv
def main():
if len(argv) < 3:
print("Usage: dna.py <File:STR count> <File:DNA Seq>")
exit()
elif len(argv) > 3:
print("Usage: dna.py <File:STR count> <File:DNA Seq>")
exit()
# read in a dna seqence from the file
... |
import cPickle
from embeddingsModel import CharModel
model_path = '../pkls/full_vocabrnn_2tanh.pkl'
chars_path = '/data/lisatmp3/devincol/data/translation_char_vocab.en.pkl'
vocab_path = '/data/lisatmp3/chokyun/mt/vocab.30k/bitexts.selected/vocab.en.pkl'
words_path = '/data/lisatmp3/devincol/data/translation_vocab_asc... |
from django import forms
from .models import Valuta, ValutaValue
class ConverterForm(forms.Form):
#from_valuta = forms.CharField(max_length=3, widget=forms.TextInput(attrs={'class': 'special'}))
#to_valuta = forms.CharField(max_length=3)
#from_value = forms.FloatField()
valuta_from = forms.ModelChoice... |
#!/usr/bin/python3
from networkScan import networkScanner, get_ip_network
from iotIdent import iotIdentifier
from portScan import portScanner
from vulnScan import vulnerabilityScanner, vuln_flag
from arpSpoof import arpSpoofer, arp_flag
from snortController import snortController, snort_flag
from counter import counter... |
# -*- coding: utf-8 -*-
# pip install aoc-tools-dannyboywoop
from aoc_tools import Advent_Timer
def readfile(filename):
with open(filename, 'r') as file:
return [int(line.strip()) for line in file]
class jump_program:
def __init__(self, code_in, offset_func_in=lambda x: 1):
self.... |
# import torch
# A = torch.eye(10,10)
# A[:,3] = float('nan')
# print(A)
# B = torch.isnan(A)
# print(B)
# # out, cnt = torch.unique(B, axis=0,return_counts=True)
# # print(out)
# # print(cnt)
# print(torch.__version__)
# C = torch.count_nonzero(C)
# print(C)
# import numpy as np
# A = np.eye(3,3)
# A[:,0] = float... |
from featurize_jupyterlab.core import Loss
import torch.nn.functional as F
class NllLoss(Loss):
"""Simple wrap of PyTorch's nll_loss
"""
def __call__(self):
return F.nll_loss
|
for i in range(5):
for j in range(5):
for k in range(5):
print(i, j, i ^ j, bin(i ^ j), bin(i ^ j).count(1))
print(j, k, j ^ k, bin(j ^ k))
|
#!/Users/munraito/opt/anaconda3/envs/bdt-python-course/bin/python
import re
import logging
import logging.config
import json
from argparse import ArgumentParser
from lxml import etree
import yaml
APPLICATION_NAME = 'stackoverflow_analytics'
DEFAULT_QUESTION_PATH = 'stackoverflow_posts_sample.xml'
DEFAULT_STOPWORDS_PA... |
from .puzzleboard import WordSolution
def test_wordsolution_can_construct():
ws = WordSolution('WORD')
assert ws is not None
def test_wordsolution_is_iterable():
d = {'word': 'WORD', 'placed': False, 'origin': {'x': 0, 'y': 0}, 'direction': None, 'points': []}
ws = WordSolution('WORD')
# can le... |
import os, sys
import numpy as np
import pickle
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torch.distributions as torchD
import torch, seaborn as sns
import p... |
from flask import current_app as app
from flask import Blueprint, url_for
from collections import OrderedDict
import OSS.models as models
import pprint
import json
import ast
api = Blueprint('api', __name__)
@api.route('/', methods=['GET'])
def index():
return 'This is the API for Open Source Shakespeare (OSS).'
... |
import scraperwiki
import lxml.html
p = 0
base_url = "http://www.catinabib.it/"
catalog_url = "?q=digitalib/res_in_coll/247&page="
info_url = "/?q=node/"
img_url = "http://www.catinabib.it/files/"
dublincore_url = "http://www.catinabib.it/?q=digitalib/generate_dc/"
mag_url = "http://www.catinabib.it/?q=digitalib/gener... |
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