text stringlengths 8 6.05M |
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import tests.test_common as test_common
import tests.test_user as test_user
import tests.test_admin as test_admin
import tests.test_birthdays as test_birthdays
import unittest
if __name__ == '__main__':
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(test_common.TestsCommonMethods))
suite.ad... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-03 02:45
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0007_auto_20170302_1331'),
]
operations = [
migrations.AlterField(
... |
'''
타이타닉
1. 생존자와 사망자에 대한 갯수를 구하시오
2. 등급별(pclass) 평균 생존률을 구하시오
( 등급과 생존율에 대한 pariplot을 그리시오 )
3. SibSp(가족과탑승) 의 평균 생존율을 구하시오
4. 혼자탑승(alone)한 인원의 평균 생존율을 구하시오
5. 성별 평균 생존율을 구하시오
6. 나이분류 컬럼을 추가하여 아래와 같이 출력하시오
1~15(미성년자), 15~25(청년), 25~35(중년),
35~60(장년), 60~(노년) 으로 표시하시요.
=================
나이 나이분류
20 청년
... |
#Program to implement Stack
#creating a class Stack
class Stack:
#size(int) : for size of the stack
def __init__(self,size):
self.size = size
self.top = -1 #initial value of top also means that the stack is empty
self.st = [' ']*size #creating a list of SIZE : size with value ' '
... |
# Copyright (c) 2018 Amdocs
#
# 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... |
from django.apps import AppConfig
class KrwapiConfig(AppConfig):
name = 'krwapi'
|
import os
import cv2
from PIL import Image
def pil_loader(path):
# open path as file to avoid ResourceWarning
# (https://github.com/python-pillow/Pillow/issues/835)
with open(path, 'rb') as f:
with Image.open(f) as img:
return img.convert('RGB')
class VideoDatasetAdapter(object):
... |
a = 1
def hello world():
print("hello world")
b = 2
c = 3
num = 100
|
from config import DATABASE
from flask import Flask,escape,request,redirect,url_for,render_template,Blueprint
import pymysql
from config import *
member = Blueprint('member',__name__)
con = pymysql.connect(HOST,USER,PASS,DATABASE)
@member.route('/showmember')
def Showmember():
with con:
cur = con.cursor... |
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
from rrt_star import RRT_star
start = np.array([0, 0, 0])
end = np.array([1, 1, 1])
bounds = np.array([[-1, -1, -1], [2, 2, 2]])
obstacles = np.array([[.5, .5, .5, .5]])
alg = RRT_star(start, end, bounds, obstacles)
alg.run(5000)
alg.visualize(en... |
# Generated by Django 3.0.3 on 2020-04-29 01:50
from django.db import migrations
from django.contrib.auth.models import User
from issues.models import Employee
def create_superuser(apps, schema_editor):
user = User.objects.create_superuser(
username='root', password='root', email='root@gmail.com')
e... |
# Giang Ly
# CS464 Project
# Client.py
import socket
def Main():
"""Takes user input from client after
connecting to specific IP and
port. Returns the message in all CAPS.
"""
## Determine the host
host = input("Name of server:")
## Determine the port number
... |
# Generated by Django 3.1.7 on 2021-03-23 21:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mpesa_api', '0003_auto_20210312_2038'),
]
operations = [
migrations.CreateModel(
name='C2BPayment',
fields=[
... |
from headline_generator.predict import Predict_model2
model = Predict_model2()
|
###################################################################
#
# CSSE1001 - Assignment 1
#
# Student Number: 43034002
#
# Student Name: Jiefeng Hou (Nick)
#
###################################################################
def interact():
get_marks_from_file('marks.csv')
"""Get marks m... |
import sys
def fibonacii(n):
a, b, count= 0, 1, 0
while True:
if (count > n):
return
yield a
a, b = b, a+b
count += 1
f = fibonacii(10)
while True:
try:
print(next(f), end=' ')
except StopAsyncIteration:
sys.exit()
|
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 20 16:06:35 2017
@author: Diabetes.co.uk
"""
#this files allow you to update the sampledatabase with new questions and answers,
#the new entries need to be stores in a csv file named 'NewQuestionsWithAnswersAndClassCSV.csv' with in CSVfiles
import pandas as pd
import nl... |
#--*-- coding:utf -8 --*--
import time
class Foo(object):
def __init__(self,var):
super(Foo,self).__init__()
self._var=var
@property
def var(self):
return self._var
@var.setter
def var(self,var):
self._var=var
def deco(func):
def wrapper():
startT... |
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 5 20:01:41 2018
@author: Octavio Ordaz y Amanda Velasco
"""
#---------------------Librerias-------------------------------------#
#Libreria para leer desde archivos csv
import pandas as pd
#Libreria para trabajar con documentos JSON
import json
#Libreria que ocupamos par... |
import time
import json
import os
from functools import partial
from selenium import webdriver
from selenium.webdriver.chrome.options import Options as ChromeOptions
from selenium.webdriver.firefox.options import Options as FirefoxOptions
from selenium.common.exceptions import NoSuchElementException, TimeoutException,... |
import argparse
from da_manager import DaData
from data_manager import dataman_factory
from plotter import Plotter
from plotter import ATTR
class Runner(object):
def __init__(self, args):
self._dataset = args.dataset
self._method = args.method
self._daman = DaData()
self._datam... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
replaces = [(b'scrub_csv', '0001_initial'), (b'scrub_csv', '0002_auto_20150414_0300'), (b'scrub_csv', '0003_auto_20150414_0301'), (b'sc... |
# Generated by Django 3.1.5 on 2021-02-15 13:26
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('blog', '0004_auto_20210211_1747'),
]
operations = [
migrations.AlterField(
... |
from category import Category
class Expense(Category):
def __init__(self, amount, name, date):
super().__init__(amount, name, date)
self.type = 'Expense'
def __str__(self):
return '{} - {}'.format(super().__str__(), self.type)
def __repr__(self):
return '{} - {}'.format(su... |
class Thing(object):
def __init__(self, health, damage):
self.health = health
self.damage = damage
def accept(self, _):
self.health -= self.damage
class Marine(Thing):
def __init__(self):
super(Marine, self).__init__(100, 21)
class Marauder(Thing):
def __init__(self)... |
# 存放模型，
from exts import db
from datetime import datetime
class User(db.Model):
__tablenme__ = 'user'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
telephone = db.Column(db.String(11), nullable=False)
username = db.Column(db.String(50), nullable=False)
password = db.Column(db.St... |
#!/usr/bin/env python
import socket
import sys
import ssl
import time
from HTMLParser import HTMLParser
from htmlentitydefs import name2codepoint
urlText = []
attributes_url = []
Main_url_list = []
class MyHTMLParser(HTMLParser):
#def handle_starttag(self, tag, attrs):
#print "Start tag:", tag
... |
#!/usr/bin/env python3
import pwn
pwn.context(arch = "i386", os = "linux")
PAYLOAD = pwn.flat('A' * (44+4+4), 0xcafebabe, '\n')
r = pwn.remote("pwnable.kr", 9000)
r.send(PAYLOAD)
r.interactive()
|
#!/usr/bin/python3
""" saves all hot posts """
import requests
def recurse(subreddit, hot_list=[]):
rURL = "https://www.reddit.com/r/{}/hot.json".format(subreddit)
h = {"User-Agent": 'any agent'}
derulo = requests.get(rURL, headers=h, allow_redirects=False).json()
if derulo is None:
return
... |
def is_palindrome(s):
s = ''.join(a for a in s.lower() if a.isalpha())
return s == s[::-1]
|
import argparse
import json
from os.path import join
from typing import List
import numpy as np
import pandas as pd
from tqdm import tqdm
from docqa import trainer
from docqa.data_processing.document_splitter import MergeParagraphs, TopTfIdf, ShallowOpenWebRanker, FirstN
from docqa.data_processing.preprocessed_corpu... |
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from xgboost import XGBClassifier
from sklearn.metrics import roc_auc_score,accuracy_score
class ModelFinder:
"""
This class shall be used to find the model with best accuracy and AUC s... |
# Copyright 2020 Pulser Development Team
#
# 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 i... |
#!/usr/bin/env python
# -*-encoding:UTF-8-*-
from myutils.shortcuts import get_env
#
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'HOST': get_env("POSTGRES_HOST", "icqbpmssoj-postgres"),
'PORT': get_env("POSTGRES_HOST", "5432"),
'NAME': get_env("POS... |
import postvdm
import pandas as pd
import pickle as pkl
import os
import re
import json
# automation = '/brildata/vdmoutput/Automation/'
automation = '/brildata/vdmoutput18/'
detectors = ['PLT','BCM1FPCVD','BCM1FSI','HFET','HFOC']
for scan in os.listdir(automation+'Analysed_Data/'):
if int(scan[:4])<6699:continue
... |
import os
import pathlib
import sys
import unittest
sys.path.append("..")
DATA_DIR = "%s/../../data/test" % pathlib.Path(__file__).parent.absolute()
WORK_DIR = "/tmp/squad-tests"
class TestAll(unittest.TestCase):
def test_train(self):
from src.squad.train import train
squad_path = WORK_DIR
... |
import logging
import os
import sys
import cv2
import imutils
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
from matplotlib.path import Path
from shapely.affinity import translate, scale
from skimage import measure
import time
from configuration import Co... |
#!/usr/bin/python
import os, struct, socket, time, random, select
from dijkstra import getBestServer
def s(i):
return struct.pack('>H', i)
def b(i):
return struct.pack('>B', i)
def us(i):
return struct.unpack('>H', i)[0]
def ub(i):
return struct.unpack('>B', i)[0]
SERVERS = []
SERV_CURR = 0
# DEFAULT... |
import io, os, csv, random
import sys
def prepareFile(filename, hdr):
#Count any lines before the headers (should be skipped)
f = io.open(filename)
skip_lines, line = 0, f.readline()
while hdr not in line and skip_lines < 100: skip_lines += 1; line = f.readline()
f.close()
if skip_lines ... |
# ---------------------------------------------------------------------------
# Created by: Ryan Spies (rspies@lynkertech.com)
# Date: 6/9/2015
# UPDATED (10/14/2015): use a search cursor loop on a shapefile containing multiple basins
# extract_basin_gSSURGO_data.py
# Description: extract gSSURGO gridded soil data... |
#!/usr/bin/env python2.7
# coding:utf-8
import sys
import os
import logging
import json
try:
import tornado.ioloop
import tornado.web
import tornado.escape
from tornado.options import define, options
except ImportError:
print "Notify service need tornado, please run depend.sh"
sys.exit(1)
R... |
from flask.blueprints import Blueprint
import logging
from flask_login import login_required, current_user
import flask
from flask.globals import request
from waitlist.permissions import perm_manager
from waitlist.storage.database import CrestFleet, Waitlist, \
Character, WaitlistEntry, HistoryEntry, HistoryExtInv... |
#!/usr/bin/env python
"""
This is a very KLUDGY beowulf beorun'able task which unfortunately loads a lot of modules,
thus being inefficient when compared with the preferred parallel-IPython method.
Called using:
beorun /home/dstarr/src/TCP/Software/ingest_tools/beowulf_task_regenerate_vosource_xmls.py /home/dstarr/s... |
from django.shortcuts import render
from rest_framework.decorators import api_view
from rest_framework.response import Response
from .serializers import Todo_list_serializer
from .models import Todo_list_model
@api_view(['GET'])
def api_overview(request):
api_urls = {
'List': '/task-list/',
'Detai... |
#Write a Python program that accepts a word from the user and reverse it
word = input("Input a word to reverse: ")
# range - start, end, step
#len(word) - 1
# -1
# -1
i = len(word) - 1
while i > -1:
print(word[i], end="")
i = i - 1
print("\n")
#word = input("Input a word to reverse: ")
#for char in range(len... |
h = int(raw_input().strip())
m = int(raw_input().strip())
nums = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten",
"eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen", "seventeen", "eighteen", "nineteen", "twenty",
"twenty one", "twenty two", "twenty thr... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:hua
# -*- coding:utf-8 -*-
from flask import Flask
from blue_print.users import users_blue
from blue_print.orders import orders_blue
from blue_print.kmeans import kmeans_blue
from blue_print.goods import goods_blue
from blue_print.random_tree import random_tree_blu... |
from rest_framework import serializers
from question.models import Question
class QuestionSerializer(serializers.ModelSerializer):
class Meta:
model=Question
fields=("title","body","publish","update","author","score") |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'calculator.ui'
#
# Created by: PyQt5 UI code generator 5.15.0
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, Q... |
import random
import numpy as np
class MarkovBuilder:
def __init__(self, value_list, order):
self.value_lookup = {}
self.reverse_value_lookup = value_list
self.order = order
# 是否是第一次调用
self.first = 1
value_num = len(value_list)
# 这里记录一下训练集中各种state总的出现次数
... |
code = []
with open('data/08.txt') as f:
for i, line in enumerate(f):
instruction, num = line.strip().split(' ')
code.append([i, instruction, num[0], int(num[1:]), False])
def read_line(line, accumulator=0):
if line[4]:
print(accumulator)
else:
line[4] = True
if lin... |
test_case = int(input())
while test_case:
number_of_chocolate = int(input())
print((number_of_chocolate - 1)//2)
test_case -= 1 |
from django.dispatch import receiver
from vkontakte_api.signals import vkontakte_api_post_fetch
from vkontakte_groups.models import Group
from . models import GroupStatisticMembers
@receiver(vkontakte_api_post_fetch, sender=Group)
def group_statistic_create(sender, instance, **kwargs):
if instance.members_count i... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
{
'name': 'Products & Pricelists [TrendAV]',
'version': '1.0.1',
'category': 'Hidden',
'author': 'Ing. Rigoberto Martínez',
'maintainer': 'TrendAV',
'website': 'http://www.trendav.com',
'seque... |
# 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 not use ... |
from Classes.Client import Client
from Classes.Product import Product
from Classes.Service import Service
def menu():
print "\
1 - Cadastrar cliente: \n\
2 - Cadastrar Produto: \n\
3 - Cadastrar Servico: "
opcao = input("Digite a sua opcao: ")
return opcao
def switch(x... |
from tkinter import *
from tkinter import ttk
from tkinter.tix import *
from tkintertable import TableCanvas, TableModel
import nimodinst
import niscope
import warnings
import matplotlib
import sys
import time
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, Navigation... |
import socket
from threading import Thread
host = 'localhost'
port = 8080
clients = {}
addresses = {}
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.bind((host, port))
def handle_clients(conn, address):
name = conn.recv(1024).decode()
welcome = "Welcome " + name + ". You can type #quit if you ... |
# -*- coding: utf8 -*-
__author__ = 'fangc'
import requests
import re
import platform, os
import cookielib
import json
import urllib
import time
import sys
requests.packages.urllib3.disable_warnings()
# todo:修改windows命令行下登录失败的问题,还未定位到问题原因
def get_tt():
return str(int(time.time() * 1000))
requests = requests.se... |
import abc
import logging
import os
from contextlib import contextmanager
from datetime import datetime, timezone
from json import JSONDecodeError
from typing import List, Optional, Sequence, Union, BinaryIO
import multitimer
import schema
import uuid0
from bson.binary import UuidRepresentation
from bson.json_util imp... |
from http.server import BaseHTTPRequestHandler,HTTPServer
from operator import itemgetter
import json, os, time
PORT_NUMBER = 8013
FIELDS_INFO = {
(6, 6): ((3, 3), (4, 5)),
(7, 7): ((3, 3), (4, 6)),
(8, 8): ((3, 3), (4, 6)),
(10, 10): ((3, 3), (4, 6)),
}
# max count of saved result
DB_SIZE ... |
from flask import render_template
from flask_login import login_required
from . import bp
@bp.route("/alarm")
@login_required
def alarm_idx():
return render_template("notifications/alarm.html")
|
#!/usr/bin/env python3
import os
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
data_dir = os.path.join(os.getenv('HOME'), 'var/data/mnist')
mnist = input_data.read_data_sets(data_dir, one_hot=True)
def slp(imput_size, class_number):
x = tf.placeholder(tf.float32, [None, impu... |
import pandas as pd
import numpy as np
import sklearn
import sklearn.neighbors, sklearn.preprocessing, sklearn.datasets
data = sklearn.datasets.load_boston()
targets = data['target']
scale_data = (sklearn.preprocessing.scale(X=data['data'])) # scaling data
values = np.linspace(1, 10, num=200)
acc = []
for value i... |
import telebot
from decouple import config
bot = telebot.TeleBot(config('BOT_TOKEN'))
def tg_send_order(message):
bot.send_message(897458587, message)
bot.send_message(945903981, message)
def check_new_updates():
updates = bot.get_updates()
for update in updates:
print(update)
|
#------------------------------------------------------------------------------
# Copyright 2008-2012 Istituto Nazionale di Fisica Nucleare (INFN)
#
# Licensed under the EUPL, Version 1.1 only (the "Licence").
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at:
... |
from django.db.models.query import QuerySet
from django.db.models.sql.query import Query
from twango.db import connections
from twango.decorators import call_in_thread
from twisted.internet import threads
class TwistedQuery(Query):
def twisted_compiler(self, using=None, connection=None):
"""
!!! N... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import vggish_params as params
import pdb
class Vggish(nn.Module):
def __init__(self):
super(Vggish, self).__init__()
# self.features = nn.Sequential(
# nn.Conv2d(1, 64, kernel_size=3, padding=1),
... |
from django import forms
#from .models import Profile
from .models import Education
# class ProfileForm(forms.ModelForm):
#
# class Meta:
# model = Profile
# fields = ('firstName', 'lastName', 'contact')
#class EducationForm(forms.ModelForm):
CATEGORIES = (
('M', 'Male'),
('F', '... |
def add(num1, num2):
print('Addition: %d' % (num1 + num2))
def subtract(num1, num2):
print('Subtraction: %d' % (abs(num1 - num2)))
def multiply(num1, num2):
print('Multiplication: %d' % (num1 * num2))
def divide(num1, num2):
print('Division: %d' % (num1 / num2))
add(2, 2) # 4
subtract(2, 10) # 8
mul... |
# !/usr/bin/python
# coding=utf-8
from flask import request,jsonify,session,render_template
from flask_restful import Resource,reqparse
import numpy as np
import pandas as pd
import math
import sys
import json
from datetime import datetime
# sys.path.insert(0, './functions')
sys.path.insert(0, './module')
import functi... |
#!/usr/bin/env python
from socket import *
from time import ctime
HOST = ''
PORT = 8080
BUFSIZE = 1024
ADDR = (HOST, PORT)
ServerSocket = socket(AF_INET, SOCK_DGRAM)
ServerSocket.bind(ADDR)
while True:
print 'waiting for message...'
data, addr = ServerSocket.recvfrom(BUFSIZE)
if not data:
break
... |
#python script to run open pos for ap
fileHandle = open('C:\\ap_weekly_04222016.sql', 'r')
yourResult = fileHandle.read().replace('\n',' ').split(';')
fileHandle.close()
for j,k in enumerate(yourResult):
yourResult[j]=k.strip()
if yourResult[j]=='':
del yourResult[j]
def getLastQuery(theL... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from utils.opts import opt
from scipy import stats
import numpy as np
from PIL import Image
# Input dimensions
image_dims = (opt.im_size, opt.im_size)
input_shape = image_dims + (opt.channels,)
def resize(ar... |
#!/usr/bin/env python2
from pwn import *
context(arch = 'i386', os = 'linux')
RET_OFFSET = 0x88 + 4
CALL_EAX_INSTRUCTION_LOCATION = 0x080486e6
SHELLCODE = asm(shellcraft.findpeersh())
PAYLOAD=flat(SHELLCODE, "A" * (RET_OFFSET - len(SHELLCODE)), CALL_EAX_INSTRUCTION_LOCATION)
r = remote("localhost", 6655)... |
import re
def read(file):
with open(file, "r") as f:
data = f.read()
return data
def decode(string):
return decode_hex(decode_oct(string))
def decode_hex(hex_string):
return decode_pattern(hex_string, "(\\\\x[0-9a-f]{2})", 16, 2)
def decode_oct(oct_string):
return decode_pattern(oct_... |
# -*- encoding:utf-8 -*-
# __author__=='Gan'
# You are given a map in form of a two-dimensional integer grid where 1 represents land and 0 represents water.
# Grid cells are connected horizontally/vertically (not diagonally). The grid is completely surrounded by water,
# and there is exactly one island (i.e., one or m... |
from django.db import models
class Tweet(models.Model):
twt_id = models.BigIntegerField()
username = models.CharField(max_length=50)
created = models.DateTimeField(auto_now_add=True)
created_at = models.TextField()
adjusted_time = models.DateTimeField(null=True, blank=True)
text = models.TextF... |
#!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
class move():
def __init__(self):
pub =rospy.init_node('ControlTurtleBot', anonymous=False)
rospy.on_shutdown(self.shutdown)
self.cmd_vel=rospy.Publisher('/turtle1/cmd_vel', Twist, queue_size=10)
r = rospy.Rat... |
import database_conversion as dbc
import subprocess
import sys, os
os.system(command)
dbc.download()
subprocess.run(input="audio-convert.sh")
|
"""
The Metro Bank provides various types of loans such as car loans, business loans and house loans to its account holders. Write a python program to implement the following requirements:
Initialize the following variables with appropriate input values:account_number, account_balance, salary, loan_type, loan_amount_e... |
#import statements
from globals import friends
from spy_details import Spy
from termcolor import colored
from spy_details import spy
#FUNCTION FOR ADDING A FRIEND
def add_friend():
# Using the class spy
new_friend = Spy(" ", " ", 0, 0.0)
while True:
new_friend.name = raw_input("Please add your frien... |
test_string=input()
m=[ ]
m=test_string.split( )
count=0
for word in m:
count=count+1
print(count);
|
import readline
from sdt.shapes.shape_factory import ShapeFactory
ShapeFactory.initialize()
def main():
running = True
print('Hello, I am a smart robot who will help you check the type of a triangle')
while running:
try:
a = input('Please inform a number to value A:')
b ... |
# -*- encoding:utf-8 -*-
# __author__=='Gan'
# Given a singly linked list, determine if it is a palindrome.
# Follow up:
# Could you do it in O(n) time and O(1) space?
# Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
# Solution 1:... |
wt = [1, 2, 3, 3]
W = 6
n = len(wt)
def subsetSum(W, wt, n):
t = [[0 for _ in range(W+1)] for _ in range(n+1)]
for i in range(n+1):
t[i][0] = 1
for i in range(1, n+1):
for j in range(1, W+1):
if wt[i-1] <= j:
t[i][j] = t[i-1][j-wt[i-1]] + t[i-1][j]
... |
'''
Draw Star Assignment '''
# Part I
def draw_stars(arr):
for i in arr:
k = 0
str = ''
while k < i:
str += '*'
k += 1
print(str)
x = draw_stars([4, 6, 1, 3, 5, 7, 25])
# Part II
def draw_stars2(arr):
for i in arr:
k = 0
str_l = ''
... |
#3n orontoi toonii tsippfriin niilber
too1 = input("too1: ")
too2 = input("too2: ")
niilber = int(too1)+int(too2)
print((niilber//100) + niilber//10%10 + niilber%10) |
import util
import pyutil
def getRanges(count, forHistory = False):
ret = []
minimum = 35
minrequired = 250
i = 3 if forHistory else 1
last = (count % minimum)
end = 0
while ((i * minimum) + minrequired < count):
start = ((i-1) * minimum)
end = ((i) * minimum) + mi... |
import numpy as np
arr1 =np.array([[1., -3., 15., -466.],[1.,2.,3.,4.]])
print(arr1*arr1)
print(np.square(arr1))
print(np.inner(arr1,arr1))
print(np.dot(arr1,np.transpose(arr1)))
print(np.sum(arr1*arr1,axis=0))
print(np.diag(np.sum(arr1*arr1,axis=0)))
|
from SignalGenerationPackage.SignalController import SignalController
from SignalGenerationPackage.Sinus.SinusSignal import SinusSignal
from SignalGenerationPackage.Sinus.SinusObserver import SinusObserver
from SignalGenerationPackage.Sinus.SinusAmplitudeCallBackOperator import SinusAmplitudeCallBackOperator
from Signa... |
import datetime
import pika
from pymongo import MongoClient
from bson import json_util
import json
__author__ = 'sam'
class PersistenceManager(object):
minutes = 15
def __init__(self,mongodb_host='localhost', mongodb_port=27017, mongodb_name='foreman'):
self.client = MongoClient(mongodb_host, mongo... |
import tests.helper as test_helper
test_helper.amend_path(__file__)
import unittest
import git
class TestGit(unittest.TestCase):
def test_config(self):
import util
_old_run = util.run
def mock_run(*args):
print args
if args == ('git', 'config', '--list'):
... |
def numeroDigitos(numero):
if(numero < 10):
return 1
else:
return 1+numeroDigitos(numero/10)
return 1
def invertir(numero):
if(numero < 10):
return numero
else:
return (10**(numeroDigitos(numero)-1))*(numero%10) + invertir(int(numero/10))
def palindromo... |
from serversocket import ServerSocket
class TCPServer:
def __init__(self,
read_callback,
maximum_connections=5,
receive_bytes=2048):
self.server_socket = ServerSocket(
read_callback,
maximum_connections,
receive_bytes
... |
"""ImageCropper module; imported by ImageOperate aggregate class."""
from PIL import Image
import ImageColumnCropOperators
import statistics
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
pd.options.mode.chained_assignment = None
class ImageCropper(object):
"""
Cropping function; rem... |
# Name: Taidgh Murray
# Student ID: 15315901
# File: sentence.py
############################################################################
sen=input("Please type a sentence here: ")
amount=len(sen.split())
print("There are" ,amount, "words in this sentence")
newsen=sen.replace(" ", "")
letters=len(... |
# Generated by Django 2.1.2 on 2019-07-28 16:03
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('career_test', '0006_auto_20190729_0002'),
]
operations = [
migrations.AlterField(
... |
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 20 16:56:45 2019
@author: measPC
"""
import numpy as np
import matplotlib.pyplot as plt
import time, datetime, math
import ctypes, os, csv, sys
from scipy.signal import savgol_filter
from IPython.display import clear_output
from progressbar import *
from tqdm import t... |
"""
Huffman Coding
By: Gunvir Ranu
This is a simple implementation of Huffman Coding.
It's kinda efficient for Python, but is still slow.
Can compress a 5 MB file in about 3 seconds.
Decompression takes much longer, about 9 seconds for the same file.
It reads text from a text file called `text.txt`.
Then ca... |
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