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# -*- coding: utf-8 -*-
"""
Created on Wed May 27 09:08:16 2020
@author: peter_goodridge
"""
from selenium import webdriver
import time
from selenium.common.exceptions import TimeoutException, ElementClickInterceptedException, NoSuchElementException, StaleElementReferenceException
import json
from datetime import ... |
import os,sys, time
from main.page.base import *
from main.function.general import *
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium import w... |
class BreadCrumb:
def __init__(self, name, href):
self.name = name
if href == '/':
self.href = href
else:
self.href = '/' + str(href) + '/'
|
import GameLogic.Unit
from GameLogic.Barrack import BaseBarrack
from GameLogic.Character import *
from Vector2 import Vector2
class Tile:
def __init__(self, _position: Vector2, _basicMoney: int, _enemyMoney: int):
self._position = _position
self._basicMoney = _basicMoney
self._enemyMoney =... |
"""
분해합
https://www.acmicpc.net/problem/2231
"""
n = int(input())
data = []
for i in range(n):
sum = 0
for j in str(i):
sum += int(j)
sum += i
if sum == n:
data.append(i)
if len(data) == 0:
print("0")
else:
print(min(data))
|
import matplotlib.pyplot as plt
import numpy as np
divisions = ["Div-a","Div-b","Div-c","Div-d","Div-e"]
divisions_averge_marks = [70,82,73,65,68]
boys_average_marks = [68,67,77,61,70]
index = np.arange(5)
width = 0.30
plt.bar(index,divisions_averge_marks,width,color='green', label = 'Division marks')
plt.bar(index+... |
# Copyright 2007-2011 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
import sys
from portage.dep import Atom, ExtendedAtomDict, best_match_to_list, match_from_list
from portage.exception import InvalidAtom
from portage.versions import cpv_getkey
if sys.hexversion >= 0x3000000:
b... |
from django.db.models.signals import post_save
from django.contrib.auth.models import User
from django.dispatch import receiver
from .models import Dprofile
@receiver(post_save,sender=User)
def create_profile(sender, instance, created, **kwargs):
user = instance
if created:
dprofile = Dprofile(user=user)
dprofil... |
'''
% captured as fn of Col_Gap
'''
import numpy as np
import scipy.stats as sts
import matplotlib.pyplot as plt
import scipy.constants as sc
import scipy.special as scp
import timeit
start = timeit.default_timer()
ymot = 0.008 # Diameter of Col Atoms
G = 38.11e6 # See ln 96
Xi_D = 6.6
Xi_d = 0.15
E... |
import unittest
from katas.kyu_7.find_the_capitals import capitals
class CapitalsTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(capitals('CoDeWaRs'), [0, 2, 4, 6])
|
import cv2
import numpy as np
from src.image.utils import rgb2gray
from src.video.video_reader import AviReader
from src.image.utils import uv_2_motion_vector
from src.image.utils import draw_motion_vectors
from src.image.horn_schunk import HornSchunkFrame
class HS_Estimate:
def __init__(self,alpha,num_iter,vide... |
# -*- coding: utf-8 -*-
import io
import json
import yaml
import os
import glob
import datetime
import petname
from django import forms
import python_terraform
from pydot import graph_from_dot_data
from architect.manager.client import BaseClient
from celery.utils.log import get_logger
logger = get_logger(__name__)
r... |
from django.contrib import admin
from .models import *
admin.site.register(User)
admin.site.register(Plan)
admin.site.register(Previous_Plans)
|
# coding: utf-8
# In[96]:
# 获得 id
# http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=%s' % term_name
# http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=cancer&retstart=3182080&retmax=100
# http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pmc&id=212403,45841... |
#-*- coding=utf-8 -*-
import os
from datetime import timedelta
basedir = os.path.abspath(os.path.dirname(__file__))
import pymysql
SECRET_KEY = 'SSDFDSFDFD'
SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://user:password@localhost/db' # user,password,db换成你的
SQLALCHEMY_TRACK_MODIFICATIONS = True
debug = True
MAIL_... |
from __future__ import unicode_literals
import locale
import unittest
from datetime import datetime
from decimal import Decimal
from django.conf import settings
from django.test import TestCase
from django.test.utils import override_settings
from django.utils import timezone
from six import text_type
from six.moves.u... |
import unittest
from katas.kyu_6.autocomplete_yay import autocomplete
class AutocompleteTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(autocomplete(
'ai', ['airplane', 'airport', 'apple', 'ball']),
['airplane', 'airport'])
def test_equals_2(self):
... |
from __future__ import annotations
import os
import sys
from typing import Any, BinaryIO, Optional, Tuple, Type, TypeVar, Union
import PIL.Image
import torch
from torchvision.prototype.utils._internal import fromfile, ReadOnlyTensorBuffer
from torchvision.tv_tensors._tv_tensor import TVTensor
D = TypeVar("D", bound... |
#!/usr/bin/env python3
"""A simple script used to download files to the target system.
Uses Python 3"""
import argparse
import requests
def get_arguments():
"""Get user supplied arguments from terminal."""
parser = argparse.ArgumentParser()
# arguments
parser.add_argument('-t', '--target', dest='t... |
import pyautogui, time
import random
time.sleep(5)
f=open("instagram_comments.txt",'r')
for word in f:
ccc = random.randrange(1,5,2)
cc = random.randrange(1,8, 3)
c = random.randrange(20,30, cc)
print('2.SLeeping time: ')
print(c)
pyautogui.typewrite(word)
time.sleep(ccc)
print('1.Sle... |
# Generated by Django 3.1.7 on 2021-04-01 21:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Gestion', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='hijo',
name='id',
field=m... |
#!/usr/bin/python
import simplejson
import urlib
import urllib2
url = "https://www.virustotal.com/vtapi/v2/url/scan"
parameters = {"url": "https://www.virustotal.com/vtapi/v2/url/scan", "apikey": "af492b1351def36003ae0d7e8210bf000c8c52d5c1a7e37a057af865f90c5937"} |
# coding=utf-8
"""
题目:
输入数字n,按顺序打印从1到最大的n位十进制数.比如输入3,则打印出1、2、3一直到到最大的3位数999
"""
import sys
def increment(number_char_array):
# 进位
carry = 0
is_overflow = False
for index in reversed(range(len(number_char_array))):
number = int(number_char_array[index]) + carry
if index == len(number_ch... |
import matplotlib.pyplot as plt
import numpy as np
from astropy.io import fits
import h5py
import healpy as hp
from pytest import approx
from glob import glob
import multiprocessing as mp
from multiprocessing import Pool
from joblib import Parallel, delayed
import huffman
from scipy.interpolate import interp1d
fro... |
class Data:
def __init__(self, p):
self.p = p
def variance(self):
self.variance = 0
for i in self.p:
self.variance +=(i-(sum(self.p)/len(self.p)))**2
print(self.variance/(len(self.p)-1))
def mean(self):
print(sum(self.p)/len(self.p))
def sd(self):
self.variance = 0
for i in self.p... |
import numpy as np
from cloudmetrics.utils import make_periodic_mask
def _parse_example_mask(s):
return np.array([[float(c) for c in line] for line in s.strip().splitlines()])
EXAMPLE_MASK = _parse_example_mask(
"""
00011000
11000011
11011011
00011000
00000000
00000000
00011000
00011000
"""
)
EXAMPLE_MASK... |
"""
Brenna Carver & Cece Tsui
CS349 Final Project
Spring 2017
"""
from sklearn.feature_extraction.text import TfidfVectorizer
import json
import numpy as np
def getAverageRatings(filename, type):
''' Returns a dictionary consisting of user or business ids as keys and average rating
as values '''
ratingDict = {}
... |
MOD = int(1e9 + 7)
class Solution(object):
def findPaths(self, m, n, N, i, j):
dp = [{} for _ in range(N + 1)]
dp[0][(i, j)] = 1
dirs = [(0, 1), (0, -1), (1, 0), (-1, 0)]
ans = 0
for step in range(1, N + 1):
for r, c in dp[step - 1]:
# 前一个能抵达的状态
... |
from gdstorage.storage import GoogleDriveStorage, GoogleDrivePermissionType, \
GoogleDrivePermissionRole, GoogleDriveFilePermission
from django.conf import settings
if settings.GDRIVE_USER_EMAIL:
permission = GoogleDriveFilePermission(
GoogleDrivePermissionRole.READER,
GoogleDrivePermissionTyp... |
from __future__ import division
import hercubit
# import saved_data
import pickle
import sklearn
from sklearn import datasets, svm
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pylab as pl
try:
import mpld3
from mpld3 import enable_notebook
from mpld3 import plugins
en... |
# -*- coding: utf-8 -*-
# To change this template, choose Tools | Templates
# and open the template in the editor.
import memcache
def getCache():
return memcache.Client(['127.0.0.1:11211'],debug=0)
|
from arago.actors import Router
class ShortestQueueRouter(Router):
"""Routes received messages to the child with the lowest number of enqueued tasks"""
def _route(self, msg):
# Try to simply find a free worker, first
for item in self._children:
if hasattr(item, "_busy") and not item._busy:
return item
#... |
#!/usr/bin/env python2.7
# -*- coding: UTF-8 -*-
import SimpleHTTPServer
import SocketServer
IP = "0.0.0.0"
PORT = 8000
def main():
Handler = SimpleHTTPServer.SimpleHTTPRequestHandler
httpd = SocketServer.TCPServer((IP, PORT), Handler)
print "serving at port", PORT
httpd.serve_forever()
if __name__ ... |
from flask import Flask
from be.view import auth, order, goods
from flask import Blueprint
from flask import request
import logging
bp_shutdown = Blueprint("shutdown", __name__)
def shutdown_server():
func = request.environ.get("werkzeug.server.shutdown")
if func is None:
raise RuntimeError("Not runn... |
from django.apps import AppConfig
class PdfwebsiteConfig(AppConfig):
name = 'pdfwebsite'
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import pyqtSignal
class progressWidget(QtWidgets.QDialog):
progressClosed = pyqtSignal(int, name='progressClosed')
def __init__(self):
QtWidgets.QDialog.__init__(self)
#self.s... |
class Player(object):
def __init__(self, name, cup=None):
self.name = name
self.cup = cup
|
import math
class Point:
def reset(self):
self.x = 0
self.y = 0
def move(self,x=0,y=0):
self.x = x
self.y = y
def calc_distance(self,anotherpoint):
return math.sqrt((self.x -anotherpoint.x)**2 + (self.y - anotherpoint.y)**2)
p1 = Point()
p2 = Point()
p1.reset()... |
# A program that indexes the supplied corpus of documents and then iteratively asks for
# search queries and provides results (as a list of file paths). If the search query contains
# more than one word, consider this to be a Boolean AND query.
from CONST import *
from Directory_Listing import ListFiles
from File_Rea... |
from flask import Flask, render_template
from flaskext.mysql import MySQL
from werkzeug import generate_password_hash,check_password_hash
app = Flask(__name__)
mysql = MySQL()
app.config['MYSQL_DATABASE_USER'] = 'root'
app.config['MYSQL_DATABASE_PASSWORD'] = 'seproject'
app.config['MYSQL_DATABASE_DB'] = 'IMS_DB1'
app.c... |
# usage:
# results = analyze_free_exploration(filename='bag_free_17.txt')
#
# returns a dictionary, results:
# results = {
# 'pre': { # in the pre-app
# 't0': 0, # time from start of app to first child action
# 'total_duration': 0, # total duration of audio pla... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from dataclasses import dataclass
from pants.backend.shell.lint.shfmt.skip_field import SkipShfmtField
from pants.backend.shell.lint.shfmt.subsystem import Shfmt
from pants.backend.shell.... |
from django.db import models
class Article(models.Model):
title = models.CharField(max_length=100)
author = models.CharField(max_length=100)
email = models.EmailField(max_length=100)
date = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.title
class Employee(mod... |
import pandas as pd
import math
RESULT_CSV_RAW_PATH = "D:/kostya_work/runtime-New_configuration/TestProject/experiments/Bengali_0_01/predictions/validation0.[0]-pr.csv"
DST_PATH = "D:/kostya_work/runtime-New_configuration/TestProject/experiments/Bengali_0_01/predictions/validation0.[0]-pr-submission.csv"
srcDF ... |
from art import logo
import time
MENU = {
"espresso": {
"ingredients": {
"water": 50,
"milk": 0,
"coffee": 18,
},
"cost": 1.5,
},
"latte": {
"ingredients": {
"water": 200,
"milk": 150,
"coffee": 24,
... |
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
from sklearn.cluster import MeanShift, estimate_bandwidth
from sklearn.datasets.samples_generator import make_blobs
#########################
fig = plt.figure()
ax = p3.Axes3D(fig)
'''
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.se... |
print("[*] Position the windows so the text fits niceley inside the window!")
from mss import mss
import cv2
from PIL import Image
import numpy as np
import time
from modules.config import *
x, y = int(screen_resolution.split("x")[0]), int(screen_resolution.split("x")[1])
settings = {"top": int(0.08 * y) + adjust_y... |
# Generated by Django 2.0.3 on 2018-03-13 04:11
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('static_pages', '0002_work'),
]
operations = [
migrations.AlterModelOptions(
name='page',
options={'ordering': ['name'], 'ver... |
from email import message
from flask import Flask, render_template, request, redirect
from cs50 import SQL
# from flask_mail import Mail, Message
SPORTS = [
"MMA",
"Cricket",
"Volleyball",
"Skating",
"Dodgeball",
"Karate Kata",
"Dance",
"Chess"
]
db = SQL("sqlite:///data.db")
app = Fl... |
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 9 22:19:14 2018
Multiple Linear Regression
Machine Learning A-Z Python
@author: alyam
"""
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('50_Startups.csv')
X = dataset.iloc[:,... |
from riordan_utils import *
from sage.rings.integer import Integer
class AbstractPartitioning:
def colours_table(self):
return NumberedColoursTable()
class IsPrimePartitioning(AbstractPartitioning):
def partition(self, negatives_handling_choice, element):
return negatives_handling_choice.d... |
import gym
from itertools import count
from collections import deque
from utils import SimpleMemory, preprocess, StatRecorder
env = gym.make('Breakout-v0')
obs = env.reset()
total_steps = 1e3
n_frames = 3
memory = SimpleMemory()
stats = StatRecorder
def get_start_frames(n):
frames = deque(maxlen=n)
for i ... |
from django.conf.urls import url,include
from .views import *
from django.views.static import serve
from django.conf import settings
from django.conf.urls.static import static
# 张宸豪
urlpatterns = [
# url(r'^book/$', book_views),
url(r'^book/(\d+)$', book_views),
url(r'findpage/$',findpage_views),
]
#廖万林... |
import pygame
import sys
from random import randrange, choice
def terminate(n=None):
if n is None:
pygame.quit()
sys.exit()
else:
pygame.quit()
sys.exit(n)
class Board(pygame.sprite.Sprite):
# Класс для спрайтов брёвен, плывущих по реке
def __init__(se... |
import cv2
import numpy as np
import os
import imutils
import pytesseract
suduku_arr = [[0 for _ in range(9)] for _ in range(9)]
def detect_entire_block(filename):
img=cv2.imread(filename,0)
edges=cv2.Canny(img,100,200)
cnts = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
cnts = imutils.grab... |
import unittest
from _feature_objects.feature_screen import DevicesScreen
from _feature_objects.feature_left_menu import *
from _pages.pageLogin import LoginPage
from _pages.pageMain import MainPage
from selenium import webdriver
class SmokeTest(unittest.TestCase):
driver = None #global variable
@classmeth... |
import os.path as p
import glob
from pathlib import Path
from typing import List, Tuple
import numpy as np
import faiss
from SimSent.indexer.faiss_cache import faiss_cache
__all__ = ['BaseIndexHandler']
class BaseIndexHandler(object):
DiffScores = List[np.float32]
VectorIDs = List[np.int64]
FaissSearch... |
from flask import Flask, request, jsonify
import json
app = Flask("__name__")
@app.route("/index", methods=["POST", "GET"])
def req():
return jsonify({"code": 0, "msg": "hello word"})
if __name__ == '__main__':
app.run(host="0.0.0.0", port=8000)
|
import tweepy
consumer_key = "P5wTozEUuNOAJCXMajGnRcDs2"
consumer_secret = "RB7p2JVEZxbodmRT3eaA32caonxpo5fS5DOKXcoTxEKJelTZys"
access_token = "997065391644917761-mSZZ6gkTdLEOdDSOAFfu7clvJO4vQPq"
access_token_secret = "MoAMNPZeAmYMwtjaopDrAs1njCwmx9pdCmC7JBP0A1uxF"
auth = tweepy.OAuthHandler(consumer_key, consumer_se... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pathlib import PurePath
import pytest
from pants.backend.terraform.hcl2_parser import resolve_pure_path
def test_resolve_pure_path() -> None:
assert resolve_pure_path(PurePath... |
from django.contrib import admin
from patients.models import Patient, RegisteredPatient, NotRegisteredPatient
# Register your models here.
admin.site.register(Patient)
admin.site.register(RegisteredPatient)
admin.site.register(NotRegisteredPatient)
|
import numpy as np
import torch
def target_distribution(name):
w1 = lambda z: torch.sin(2 * np.pi * z[:, 0] / 4)
w2 = lambda z: 3 * torch.exp(-0.5 * ((z[:, 0] - 1) / 0.6) ** 2)
w3 = lambda z: 3 * torch.sigmoid((z[:, 0] - 1) / 0.3)
if name == "1":
u = lambda z: 0.5 * ((torch.norm(z, p... |
import socket
import os
import subprocess
import psutil
import time
import threading
from queue import Queue
import wmi
from datetime import datetime, timedelta
NUMBER_OF_THREADS = 2
JOB_NUMBER = [1, 2]
queue = Queue()
system_data = {"HostName": "", "UpTime": "", "CPU": ""}
def host_name():
ho... |
#-*- coding: utf-8 -*-
print('''n = 123,
f = 456.789,
s1 = 'hello,world',
s2 = 'hello, \\\'Adam\\\'\'
s3 = r'Hello,"Bart"'
s4 = r\'\'\'Hello,
Lisa!\'\'\'
''')
s1 = 'n = 123'
s2 = 'f = 456.789'
s3 = 's2 = \'hello, \\\'Adam\\\'\''
print(s3)
print('''line1
line2
line3''')
|
import pygame
import time
pygame.init()
# initialize the joystick
pygame.joystick.init()
joystick = pygame.joystick.Joystick(0)
joystick.init()
axes = joystick.get_numaxes()
while True:
for i in range(axes):
# print out the axis values
axis = joystick.get_axis(i)
#s = 'Axis i: ' + axis
print 'Axis %d:\t%6.4... |
#! /usr/bin/python
# coding=utf-8
import time
import select
import sys
import os
import RPi.GPIO as GPIO
import numpy as np
import picamera
import picamera.array
from picamera import PiCamera
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import time
import cv2
import math
import threading
from car ... |
#! python3
import GetFromAPI
import MyYouTubeDB
import threading
import datetime
def MainRoutine():
# Run the process every N seconds
Timer = 60.0
threading.Timer(Timer, MainRoutine).start() # called every minute
Key = 'YOUTUBE-API-KEY'
SelectedMethodNumList = [1, 6]
SelectedUserNameList = [... |
from apps.items.models import *
from apps.inventory.models import *
def add_ship_values():
ShipValues.objects.create(
travel_time_multiplier = 5.0,
travel_cost = 20,
)
def add_rookie():
ShipTemplate.objects.create(
ship_type = ShipTemplate.ROOKIE,
size = ShipTemplat... |
"""
This prototype application is available under the terms of GPLv3
Permission for other licences can and probably will be granted
if emailed at antimatter15@gmail.com.
"""
import httplib
import pickle
import urllib
import json
from optparse import OptionParser
waveid = "googlewave.com!w+Mu9eK7j2H"
parser = OptionPa... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
def cloud_fraction(mask):
"""
Compute metric(s) for a single field
Parameters
----------
field : numpy array of shape (npx,npx) - npx is number of pixels
(cloud) mask field.
Returns
-------
cf : float
... |
# The point of writing super() is to ensure that the next method in line
# in the method resolution order (MRO) is called, which becomes important
# in multiple inheritance
# Note: super() can only be called if an ancestor inherits object eventually
class Base(object):
def __init__(self):
print("Base init'... |
import torch
import torch.nn
import os
import numpy as np
import matplotlib.pyplot as plt
import glob
import math
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_select... |
"""Operate on pages in manual; extract data from zones and print to examination file."""
from operator import itemgetter
import xmlStaticOperators
import xmlChildSearch
import xmlTableZoneExpander
import os
class xmlTableIdentifier(object):
"""
Identify two-column pages, search them for table zones and textz... |
import re
from getpass import getpass
from users import check_password, encrypt_password, Users, Logs
class InvalidAction(Exception):
pass
class MaxTries(Exception):
pass
class Interface:
EMAIL_REGEX = re.compile(r"[^@]+@[^@]+\.[^@]+")
NUM_TRIES = 3
def __init__(self, users... |
import csv
import random
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Lambda
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import img_to_array, load_img
from sklearn.model_selection import train_test_split
fr... |
class Player(object):
def __init__(self, player):
self.values = player
def __eq__(self,other):
return self.values == other.values
'''We don't need this method anymore'''
def getValidMoves(self, board):
return board.getValidMoves()
def makeMove(self, board, co... |
import requests
import datetime # for unix UTC conversion
# COMPLEX WEATHER
def fullData():
# GET URL AND ENTER KEYS
key = input('Enter your API key: ')
location = input('Enter the location to search: ')
url = 'http://api.openweathermap.org/data/2.5/weather?q=' + location + '&appid=' + key
# LOA... |
#!/usr/bin/env python3
import asi
import numpy as np
import cv2
def main():
print('Warning: No checking for error return codes!')
asi.ASIGetNumOfConnectedCameras()
rtn, info = asi.ASIGetCameraProperty(0)
frame_size = info.MaxWidth * info.MaxHeight
asi.ASIOpenCamera(info.CameraID)
asi.ASIInit... |
def max_gap(numbers):
nums = sorted(numbers)
gap = 0
for i,n in enumerate(nums[:-1]):
subt = abs(nums[i+1] - n)
if gap < subt: gap = subt
return gap
'''
Task
Given an array/list [] of integers , Find The maximum difference between the
successive elements in its sorted form.
Notes
... |
#!/usr/bin/python
"""
**********************************************************************************************************************************************************
*Authors : Amar Bhagwandas Lalwani (MT2012073) and Raghav Bali (MT2012108)
*
*Date : May 18 2013
*
*Project ... |
import sys #import sys to get arguments
mode=sys.argv[1]
#command parsing
if mode=="-help": #help screen
print("USAGE:")
print("python hertz.py hertz [pin] [length] [hertz] [debug]")
print("eg. \"python hertz.py hertz 18 10 30\"")
print("python hertz.py delay [pin] [length] [delay] [debug]")
print("eg. \"python ... |
# -*- coding: utf-8 -*-
import scrapy
import json
import time
from OwhatLab.conf.configure import *
from OwhatLab.utils.myredis import RedisClient
from OwhatLab.items import OwhatLabArticleItem, OwhatLabUserIterm
class SpiderArticlesInfoSpider(scrapy.Spider):
name = 'spider_articles_info'
allowed_domains =... |
import WorldElement
class Toy(WorldElement):
def __init__(self, color, shape):
super(Toy, self).__init__(color, shape)
def display(self):
"Toy of color {0} and shape {1}".format(color, shape) |
'''
This program is used to fetch all the versions of library which user wants.
Program used in the following way：
python3 cdnjsFetch.py ${library name}
After exec it, the program will create a new folder with the name of that library
and include all the files in the subfolder named with version number.
'''
import os
i... |
#from datetime import datetime,timedelta
#creattime = datetime.now()
#a = creattime.strftime('%d/%m/%Y %H:%M:%S')
#print(a)
#a={}
#b = {}
#b['c'] = 0
#a['b']= b
#print(a)
#a = {}
#b = {}
#b ['v'] = 1
#a ['b'] = b
#a ['c'] = 1
#for i in a:
# print(i)
for i in range(10,100):
for j in range(0,9):
print(... |
# Copyright 2017 Google 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... |
"""Finish all TODO items in this file to complete the isolation project, then
test your agent's strength against a set of known agents using tournament.py
and include the results in your report.
"""
import random
directions = [(-2, -1), (-2, 1), (-1, -2), (-1, 2),
(1, -2), (1, 2), (2, -1), (2, 1)]
class... |
u = int(input())
while u > 0:
n,x,t = map(int,input().split())
start = []
for i in range(n):
start.append(i*x)
#print(start)
end = []
for i in range(n):
end.append(start[i]+t)
#print(end)
stor = []
for k in range(n-1):
a = end[k]
cnt = ... |
import sqlite3 as lite
import sys
def setupTables(name='P50Events.sqlite'):
con=lite.connect(name)
with con:
cur = con.cursor()
cur.execute("CREATE TABLE P50Muon(event INT,pulseTop REAL,pulseBot REAL,renormTop REAL,renormBot REAL,length REAL,time REAL)")
def insertEvent(event,p... |
class Solution(object):
def findTilt(self, root):
self.total = 0
def addtraverse(root):
if not root:
return 0
l = r = 0
if root.left:
l = addtraverse(root.left)
if root.right:
r = addtraverse(root.right)... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical
import os
from model_utils import RnnEncoder
from model_utils import TwoLayerMLP
from vision import Vision
from amdim.model import Model
class Agent(nn.Module):
def __init__(self, agent_hps=None, visio... |
from colossus.apps.campaigns.tests.factories import (
CampaignFactory, EmailFactory, LinkFactory,
)
from colossus.apps.subscribers.activities import render_activity
from colossus.apps.subscribers.constants import ActivityTypes
from colossus.apps.subscribers.tests.factories import ActivityFactory
from colossus.test.... |
#!/usr/bin/env python3
import subprocess
import os
p1 = subprocess.Popen(["/usr/local/bin/processing-java", "--sketch=/home/pi/pi_cube/main", "--run"])
os.chdir("/home/pi/pi_cube/sol")
p2 = subprocess.Popen(["python3", "sol.py"])
try:
p1.wait()
p2.wait()
except KeyboardInterrupt:
try:
p1.termin... |
# coding: utf-8
# ### Preprocessing Pipeline
# 1. Create a BIDSDataGrabber Node to read data files
# 2. Create a IdentityInterface - infosource Node to iterate over multiple Subjects
# 3. Create following Nodes for preprocessing
# - [x] Exclude 4 volumes from the functional scan
# - [x] slice time correction
#... |
import os, sys, pygame
from pygame.locals import *
def load_image(fileName, colorkey=None):
image = pygame.image.load(fileName).convert()
if colorkey is not None:
if colorkey == -1:
colorkey = image.get_at((0,0)) # set colorkey to top-left pixel of image
image.set_colorkey(colorkey, RLEACCEL)
return image, i... |
#!/usr/bin/env python
import os
import polib
LOCALES = [
"br",
"cs",
"de",
"el",
"es",
"fi",
"fr",
"it",
"ja",
"nl",
"pt",
"pt-br",
"pl",
"po",
"ru",
"sv",
"tr",
"zh-hant",
]
OLD_TRANSLATION_MODULES = [
"",
"admin",
"dnstools",
... |
from django.shortcuts import render
from django.conf import settings
from django.http.response import JsonResponse
from django.views.decorators.csrf import csrf_exempt
import stripe
from users.models import Order
@csrf_exempt
def stripe_config(request):
if request.method == 'GET':
stripe_config = {'publ... |
# -*- coding: utf-8 -*-
class Solution:
def minCostToMoveChips(self, chips):
count_even, count_odd = 0, 0
for chip in chips:
if chip % 2 == 0:
count_even += 1
else:
count_odd += 1
return min(count_even, count_odd)
if __name__ == "_... |
"""
This is the file where I'll use everything I built to create a NN to do something (idk atm)
"""
from NeuralNetwork import *
import numpy as np
import matplotlib.pyplot as plt
from Layer import *
from keras.datasets import mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.reshap... |
from ddd.painter2 import *
from ddd.bresenham3 import *
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
tree = Vine()
paint = Painter(tree)
paint.build_tree_set()
branches = paint.build_tree_set()
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, projection='3d')
ax.set_xl... |
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