text stringlengths 38 1.54M |
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import winsound
import os
import time
import sys
import turtle as tk
os.chdir('C:\\teleport\\Code\\Multi-Snake')
def play():
global running
running = True
while running:
winsound.PlaySound("themesong.wav", winsound.SND_ASYNC)
time.sleep(7)
def stop():
global running
running = False
... |
#!/usr/bin/env python
import RPi.GPIO as GPIO
import ds18b20
import segment
import time
def setup():
segment.TM1638_init()
def destory():
GPIO.cleanup()
def loop():
tmp = 0.0
while True:
tmp = ds18b20.ds18b20Read()
segment.numberDisplay_dec(tmp)
time.sleep(0.1)
if __name__ == '__main__':
setup()
try:
... |
"""
utility functions to read svn dumps into structured data
"""
from io import BytesIO
import itertools
import hashlib
key_names = {
'Revision-number': 'revno',
'Node-path': 'path',
'Node-kind': 'kind',
'Node-action': 'action',
'Node-copyfrom-path': 'copy_from',
'Node-copyfrom-rev': 'copy_rev... |
#!/bin/python3
import os
import sys
#
# Complete the simpleArraySum function below.
#
def simpleArraySum(ar):
#
# Write your code here.
if len(ar) != 0:
if len(ar) == 1:
return ar[0]
else:
sum = 0
for i in ar:
sum += int(i)
re... |
'''
keys:
Solutions:
Similar:
T:
S:
'''
from typing import List
# https://supercodead.blogspot.com/2019/07/1463-paper-review.html
'''
We define that the similarity between two papers is the length of longest
similar word subsequence * 2 divided by the total length of two papers.
Given two papers, words1, words2 (ea... |
import os
import numpy as np
def process(data_path, dest_path, phase):
files_list = []
batch_id = 1
for filename in sorted(os.listdir(os.path.join(data_path, phase))):
filepath = os.path.join(data_path, phase, filename)
all_data = np.load(filepath)
features = all_data['data'] # 10 ... |
import sys
sys.path.append('lib')
from BShipGrid import BShipGrid
from PIL import Image, ImageDraw
class TheGame():
pass
def __init__(self):
W = 1000
H = 200
self.img = Image.new("RGBA", (W, H), (0,255,0,0))
self.drawing = ImageDraw.Draw(self.img)
a = BShipGrid("Simo... |
import sys
from collections import deque
input = sys.stdin.readline
n, m = map(int, input().split())
board = [list(map(int, input().split())) for _ in range(n)]
visited = [[0]*m for _ in range(n)]
dr = [1, -1, 0, 0]
dc = [0, 0, 1, -1]
q = deque()
picture_cnt = 0
picture_area = [0]
for r in range(n):
for c in ra... |
"""
Strategies for changing active set based on current iteration,
the current active set and a candidate set of non-zero coefficients.
"""
import numpy as np
import scipy.linalg as la
# should we replace this with cython?
from numpy.core.umath_tests import inner1d
class Strategy:
"""
Strategy for choosing a... |
import urllib.request
from bs4 import BeautifulSoup
from time import sleep
import json
import hashlib
import os
from PIL import Image
import requests
import shutil
def download_img(url, file_name):
print(url)
r = requests.get(url, stream=True)
if r.status_code == 200:
with open(file_name, 'wb') as... |
import requests
def handler(event, context):
result = requests.get("https://randomuser.me/api/")
return {
"data": result.json()
}
|
from django.conf.urls import url
from django.contrib import admin
from views import todolist, complete, delete
urlpatterns = [
#url(r'^$', views.index, name = 'index'),
url(r'^admin/', admin.site.urls),
url(r'^$', todolist),
url(r'^complete/(?P<pk>\d+)/', complete),
url(r'^delete/(?P<pk>\d+)/', del... |
from bs4 import BeautifulSoup
import requests
import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import datetime
from dateutil.relativedelta import *
st.set_page_config(
page_title="Akcje GPW",
page_icon="",
#layout="wide",
initial_sidebar_state... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 15 10:13:13 2020
TensorFlow2.0 常用函数
tf.keras：构建和训练模型（Sequential模式、函数式API）
Eager模式：直接迭代和直观调试
tf.GradientTape：求解梯度，自定义训练模式
tf.data：加载图片与结构化数据
tf.function：自动图运算
@author: liutingting16
"""
import pandas as pd
import numpy as np
import tensorflow as tf... |
import pickle
from collections import namedtuple, defaultdict
from random import choice
import requests
from bs4 import BeautifulSoup
import markovify
from twython import Twython
Clue = namedtuple('Clue', 'setter xword_id clue_number raw_clue words pattern')
Setter = namedtuple('Setter', 'name clues markov')
credent... |
from typing import *
class Solution:
def flipAndInvertImage(self, A: List[List[int]]) -> List[List[int]]:
for i in A:
i.reverse()
for i in A:
for n,j in enumerate(i):
if j == 1:
i[n] = 0
else:
i[n] = 1... |
# -*- encoding: utf-8 -*-
from django import forms
from .models import *
from django.contrib.auth import authenticate
class RegisterQuestionForm(forms.Form):
email = forms.EmailField(
label='Su Email',
max_length='50',
required=True,
)
title = forms.CharField(
label='Titul... |
from flask_restful import reqparse
from db import db
class Patient_info(db.Model):
__tablename__ = "Health_info"
id = db.Column(db.Integer, primary_key=True)
patient_id = db.Column(db.Integer)
Glucose = db.Column(db.Integer)
SBP = db.Column(db.Integer)
DBP = db.Column(db.Integer)
time = d... |
class LinkedNode():
def __init__(self , data):
self.next = None
self.data = data
class LinkedList():
def __init__(self):
self.head = None
def InsertAtHead(self , newHeadData):
newNode = LinkedNode(newHeadData)
if self.head :
newNode.next = self.head
... |
import numpy as np
from sklearn.cross_decomposition import PLSRegression
from sklearn.svm import SVR
from sklearn.ensemble import RandomForestRegressor
import warnings
from sklearn.model_selection import validation_curve
warnings.filterwarnings("ignore")
import random
from sklearn.model_selection import RandomizedS... |
from models.players import Player
class PlayerView():
def ask_information(self, dataRequested):
print('Please type the ' + dataRequested)
def display(self, message):
''' Helper function to display a message '''
print(message)
def display_players_name(self, players_to_display: li... |
''' coordinates are [u,v], points are [x,y,z] '''
import math, random
import util, tests
random.seed(0)
def sphere_eq(c):
u,v = c
x = math.cos(u)*math.sin(v/2)
y = math.sin(u)*math.sin(v/2)
z = -math.cos(v/2)
return [x,y,z]
def klein_eq(c):
u,v = c
# todo - check bounds on u,v
h = 15
w = 5
r1 = .5 #2
r2 ... |
# user.py
import discord
from discord.ext import commands
import random
class DnD(commands.Cog):
def __init__(self, bot):
self.bot = bot
self._last_member = None
# commands
@commands.command()
async def roll(self, ctx, n, x):
"""roll n x: Rolls n dice of x sides"""
r... |
from Funciones import *
class Curso():
def __init__(self, nombre):
self.nombre = nombre
self.alumnos = []
self.materias = []
def agregarAlumno(self, alumno):
"""
:parametro alumno: object
:return None
"""
self.alumnos.append(alumno)
... |
from __future__ import annotations
from typing import Any, TYPE_CHECKING
from typing import Optional
from sqlalchemy.ext.asyncio import AsyncEngine
from virtool.data.transforms import AbstractTransform
from virtool.data.transforms import apply_transforms
from virtool.pg.utils import get_row_by_id
from virtool.types ... |
"""
Loading is tricky to test: a new Python process is needed each time because of
global state in GameData.
The hacky approach here is to run pytest in a subproces on just that one test.
"""
import pytest
import subprocess
import sys
import platform
import os
import gc
import endless_sky.bindings as m
from helpers ... |
#!/usr/bin/env python
"""Flow that reads data low level."""
import logging
from grr_response_core.lib.rdfvalues import read_low_level as rdf_read_low_level
from grr_response_server import data_store
from grr_response_server import file_store
from grr_response_server import flow_base
from grr_response_server import ser... |
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42
import bluepy
cas_g = ['1p26', '1p28', '1p3', '1p32', '1p34', '1p36', '1p38', '1p4', '2p0']
cas_mvr = ['1p1', '1p15', '1p2', '1p21', '1p22', '1p23', '1p24', '1p25']
bcs_mvr = ['/gpfs/bbp.cscs... |
import numpy as np
from sklearn import metrics,neighbors
import sklearn
from collections import Counter
#-------------------------------------------------------------------------
'''
Problem 1: k nearest neighbor
In this problem, you will implement a classification method using k nearest neighbors.
The ma... |
import os
import numpy as np
import sys
import subprocess
def createtxt():
print('Enter the number of the channel:\n')
print('etau =1 , mutau=2 or tautau=3 (wo quotation)')
x = int(input())
if (x== 1 or x== 2 or x== 3):
print('VALID CHANNEL')
if x==1:
path="/Users/diegobarbo... |
__author__ = 'regu0004'
# SAML attribute to verify affiliation with
AFFILIATION_ATTRIBUTE = 'eduPersonAffiliation'
# Values the RP can request in OpenID Connect parameter 'scope' in the Auth req.
PERSISTENT_NAMEID = 'persistent'
TRANSIENT_NAMEID = 'transient'
# Supported claims in the Auth req
DOMAIN = 'domain'
COUN... |
'''
Created on 2014. 11. 26.
@author: user
'''
from Orange import data
from DoC import page, time as t, status, user_agent
import split_session as ss
import Feature_Set as fs
import refine_data as rd
from Analysis.Freq import ip_freq
from Analysis.Freq import query_markov
from time import time
vDom = d... |
# coding=utf-8
"""
this module calculates the stat of the trace
"""
from pprint import pformat
from collections import defaultdict
class TraceStat:
"""
this class provides statistics calculation of a given trace
"""
def __init__(self, reader, top_N_popular=8):
self.reader = reader
... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import datetime
import re
from job51.items import Job51Item
class Job51Pipeline(object):
def process_item(self, item, ... |
n=int(input())
fact=1
if n==0:
print("factorial is 1")
elif(n<0):
print("not possible")
else:
for i in range(1,n+1):
fact=fact*i
print("factorial of ",n,"is",fact)
|
from django.contrib.auth.models import User
from django.db import models
class Task(models.Model):
title = models.CharField(max_length=255, null=False, blank=False)
description = models.TextField(null=False, blank=False)
is_done = models.BooleanField(default=False)
user = models.ForeignKey(User, on_de... |
#!/usr/bin/python
#coding=utf-8
def binary_search(f_n, f_l):
"""
:type f_n: int
:type f_l: list
:rtype int
"""
low = 0
high = len(f_l)
while low <= high:
mid = (low + high) / 2
if f_l[mid] == f_n:
return mid
elif f_l[mid] < f_n:
low = mid ... |
# -*- coding: utf-8 -*-
# =============================================================================
# Created on Sat Aug 3 13:00:11 2019
#
# @author: Brénainn Woodsend
#
#
# BaseFigure.py provides a base class for vpl figures.
# Copyright (C) 2019 Brénainn Woodsend
#
# This program is free software: you... |
#! /usr/bin/env python
# Public Domain (-) 2004-2011 The Assetgen Authors.
# See the Assetgen UNLICENSE file for details.
from setuptools import setup
# ------------------------------------------------------------------------------
# Run Setup
# -----------------------------------------------------------------------... |
# !/usr/bin/env python
# -*- encoding: utf-8 -*-
import Queue
import sys
import threading
import time
import optparse
import requests
from lib.consle_width import getTerminalSize
class baiduBrute:
def __init__(self, target, threads_num):
self.target = target.replace("link", "verify").replace("init", "ver... |
#!/usr/bin/env python
# coding: utf-8
# In[42]:
def checksublist(lst,sublist):
correct,incorrect=0,0
for i in sublist:
if(all (x in sublist) for x in lst):
correct+=1
else:
incorrect+=1
if (correct>incorrect):
print ("It's a Match")
else:
... |
# SPDX-License-Identifier: Apache-2.0
"""
keras2onnx
This package converts keras models into ONNX for use with any inference engine supporting ONNX
"""
__version__ = "1.9.0"
__author__ = "Microsoft Corporation"
__producer__ = "keras2onnx"
__producer_version__ = __version__
__domain__ = "onnxmltools"
__model_version__... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 29 00:19:15 2017
@author: l96
"""
import pandas as pd
import numpy as np
import os
import zipfile
root_dir = r'tickerData'
filename_pool = os.listdir(root_dir)
def write_dict_to_hdf_and_zip(ticker_dict, hdf_filename, compress = True):
# ticker_dict: key = ticker, ... |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 15 11:01:47 2019
@author: Eduardo Berg
"""
import wfdb
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.io
import os
import json
import scipy.signal as sig
import pywt
import sklearn as sk
from sklearn.ensemble import R... |
from setuptools import setup
setup(
name='bitmapper',
version="0.4",
py_modules=['bitmapper'],
install_requires=['click', 'Pillow', 'qrcode'],
entry_points='''
[console_scrips]
bitmapper=bitmapper:convert
'''
) |
import unittest
import main
import pprint
from datetime import datetime
import csv
class TestStringMethods(unittest.TestCase):
def test_1_basic_case(self):
result = main.analyze_taxable_sales('test/1.csv')
self.assertEqual(len(result), 2)
self.assertEqual(result[0]['gain'], 0)
sel... |
import os
from random import randint
def branch1():
print('You are startled awake...',end='')
input()
print('You look around the room and see a door and a window.')
print('Do you want to walk out through the (d)oor or\nclimb out of the (w)indow?')
choice = input('Your choice:')
if choice == 'd'... |
from django.conf.urls import url
from django.urls import path
from .views import ClaimsView
from .views import PostExample
from .views import MessagesView
from .views import AddMessageView
from .views import AddChatSessionView
from .views import ChatSessionView
from .views import AddLikeView
from django.conf.urls.stati... |
#!/usr/bin/env python2
# -*- coding: utf-8 -
# You need to register your App first, and enter you API key/secret.
# 您需要先注册一个App，并将得到的API key和API secret写在这里。
API_KEY = 'adfcb141240655a7f1df49972c38ffe3'
API_SECRET = 'jDfByUXW5cm2HH6_6pRooDQe37t63r4t'
# Import system libraries and define helper functions
# 导入系统库并定义辅助函数
... |
# coding=utf-8
# Copyright 2022 Google LLC.
#
# 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 ... |
class MinStack:
def __init__(self):
self.stack = []
def push(self, x: int) -> None:
if len(self.stack) == 1:
if self.stack[0] < x:
self.stack.insert(0, x)
else:
self.stack.append(x)
elif len(self.stack) > 1:
if x > self... |
"""
Given an array of integers nums sorted in non-decreasing order, find the starting and ending position of a given target value.
If target is not found in the array, return [-1, -1].
You must write an algorithm with O(log n) runtime complexity.
https://leetcode.com/problems/find-first-and-last-position-of-element-... |
#!/usr/bin/env python3
# -*- coding：utf-8 -*-
import MySQLdb
#import pymysql
#import mysql.connector
import json
db_config = {
'host': '127.0.0.1',
'user': 'root',
'passwd': '******',
'port': 3306,
'db': 'test',
'charset': 'utf8'
}
def connDB():
try:
# MySQLdb.connect
# mysql.connector.connect
conn = ... |
# -*-coding: utf8 -*-
'''
url =http://college.gaokao.com/school/tinfo(学校代码)/result/(省份代码)/(科目代码)/
一共 2666所大学
省份 1-31，香港 33，澳门38，台湾39
理科 1 ，文科 2，综合 3，其他 4，艺术理 8，艺术文 9
用遍历来完成对 url的创建
'''
import requests
import random
import MySQLdb
import time
from lxml import etree
import re
import sys
reload(sys)
sys.setdefaultencod... |
# Copyright 2020 Intel Corporation
#
# 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 wri... |
import glob
import numpy as np
import os
import shutil
import glob
import numpy as np
filePath = '/home/jyosa/melanoma/labels.csv'
# As file at filePath is deleted now, so we should check if file exists or not not before deleting them
if os.path.exists(filePath):
os.remove(filePath)
else:
print("Can not d... |
import argparse
import configparser
import socket
from federatedrc import network
class TestModelSender:
def __init__(self):
self.configure()
def configure(self):
parser = argparse.ArgumentParser(description='Test Model Transfer Sender Configuration')
parser.add_argument('config', narg... |
"""
repl.py - top level read/eval/print loop.
INTRO 1 : This is where ActorForth all begins for execution purposes.
"""
import sys
from continuation import Continuation, Stack
from interpret import interpret
from af_types.af_any import print_words
def print_stack_stats(stack):
print("")
print(stack.contents... |
seller_1 = [33, 32, 56, 45, 33]
seller_2 = [77, 33, 68, 45, 23]
seller_3 = [43, 55, 43, 67, 65]
product_A = 12
product_B = 16
product_C = 10
product_D = 14
product_E = 15
def Total_sales(A,B,C,D,E):
seller_total_1 = (seller_1[0] * A) + (seller_1[1] * B) +(seller_1[2] * C) + (seller_1[3] * D) + (seller_1[4] * E)
... |
import tkinter as tk
def max_reward(terminal_states):
max_reward = float('-inf')
for state in terminal_states:
if state[2] > max_reward:
max_reward = state[2]
return max_reward
def max_punishment(terminal_states):
max_punishment = float('inf')
for state in terminal_states:
... |
import warnings
import captum
import torch
from captum.attr import visualization as viz
from transformers import PreTrainedModel, PreTrainedTokenizer
from transformers_interpret import BaseExplainer, LIGAttributions
from transformers_interpret.errors import (
AttributionTypeNotSupportedError,
InputIdsNotCalcul... |
# N개의 정수로 이루어진 수열이 있을 때, 길이가 양수인 부분수열 중에서
# 그 수열의 원소를 다 더한 값이 S가 되는 경우의 수를 구하는 프로그램을 작성하시오.
#
# 입력
# 첫째 줄에 정수의 개수를 나타내는 N과 정수 S가 주어진다.
# (1 ≤ N ≤ 40, |S| ≤ 1,000,000)
#
# 둘째 줄에 N개의 정수가 빈 칸을 사이에 두고 주어진다.
# 주어지는 정수의 절댓값은 100,000을 넘지 않는다.
#
# 출력
# 첫째 줄에 합이 S가 되는 부분수열의 개수를 출력한다.
from sys import stdin
N, S = map(int, std... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import six
from .utils import package_names_match
class Fetcher(six.Iterator):
"""Base fetch implementation to apply requirement filtering.
"""
def __init__(self, repository, package_name):
self._repository = repository
self._package_name = p... |
# 03_02-Callable Instances
from resolver import Resolver
resolve = Resolver()
resolve('localhost')
resolve.__call__('localhost')
resolve._cache
resolve('sixty-north.com')
resolve.__call__('sixty-north.com')
resolve._cache
resolve('pluralsight.com')
resolve._cache
from timeit import timeit
timeit(setup='from __main__... |
"""
Trainer to create a model
"""
# import json
# import logging
from pandas import DataFrame
from sklearn.model_selection import train_test_split
import xgboost as xgb
from infrastructure.data_mining.xgboost.XGBRegresser import XGBRegresser
class XGBoostDataTrainer:
EARLY_STOP = 50
RANDOM_STATE = 42
VA... |
# Name: Efi Pecani
# ID: 307765230
from tkinter import * #import all of this stuff in order to wor kwith tkinter methods
import tkinter as tk
from tkinter import filedialog
from tkinter import ttk
from PIL import ImageTk , ImageFilter
from PIL import Image
import os, sys
import tkinter.font as tkFont
#__... |
r = int(input('Quanto dinheiro você tem na carteira?R$'))
d= r/5.20
print(f'Com R${r} você pode comprar ${d:.2f} doláres')
|
from pathlib import Path
import os
from loop_directory import loop_bulks
def loop_folders(chunks: list, Archived=False):
for chunk in chunks:
loop_bulks(chunk, Archived)
def chunks(paths: list, n):
return [paths[i*n:(i+1)*n] for i in range((len(paths) + n - 1) // n)]
if __name__ == '__main__':
... |
# Generated by Django 2.0.2 on 2018-02-19 03:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('weblog', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='author',
name='email',
fie... |
'''
堆排序
'''
def sort(array):
# 遍历非叶子节点，建立堆结构数组
for i in range(int(len(array) / 2) - 1, -1, -1):
adjustHeap(array, i, len(array))
print('arr of heap:', array)
# 堆积树建立完成，开始排序。
for j in range(len(array) - 1, 0, -1):
# 一开始最大元素是[0]，然后被换到最后一个
# 从n-0，不断和[0]元素交换，重新堆排序（既把第2、3..n大的翻... |
# Time-complexity: O(N)
class Solution:
def kthFactor(self, n: int, k: int) -> int:
if k == 1:
return 1
cnt = 1
for factor in range(2, n // 2 + 1):
if n % factor == 0:
cnt += 1
if cnt == k:
return factor
if c... |
# -*- coding: utf-8 -*-
import scrapy
import io
import sys
import os
from scrapy.selector import HtmlXPathSelector
from ..items import Sp1Item
from scrapy.http import Request
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='gb18030')
class ChoutiSpider(scrapy.Spider):
name = 'chouti'
allowed_domains... |
from django import forms
from cb.models import User
class UserForm(forms.ModelForm):
class Meta:
model = User
fields = ['name', 'password', 'email']
labels = {'name':'用戶名', 'password':'密碼', 'email':'郵箱'}
|
from django.contrib import admin
# Register your models here.
from .models import Post,calci,book,books
# Register your models here.
admin.site.register(Post)
admin.site.register(calci)
admin.site.register(book)
admin.site.register(books)
|
import csv, pickle
from nltk.corpus import stopwords
stwords = stopwords.words('english')
radlex_terms_1word = []
radlex_terms_2word = []
with open('./radlex/Radlex.csv') as csvfile:
lexreader = csv.reader(csvfile, delimiter=',')
for row in lexreader:
for rowi in row[0].split():
try:
rowia = ... |
from tkinter import *
import numpy as np
import pandas as pd
from PIL import ImageTk,Image
from tkinter import filedialog
AGE= ['0','1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','... |
# -*- coding: utf-8 -*-
'''
# Copyright (c) Microsoft Corporation. All Rights Reserved. Licensed under the MIT License. See License in the project root for license information.
#
# This file was generated and any changes will be overwritten.
'''
from __future__ import unicode_literals
from ..model.item_body impo... |
'''
Remove outliers
При анализе данных, собранных в рамках научного эксперимента,
бывает полезно удалить самое большое и самое маленькое значение.
На вход программе подается натуральное число n, а затем n различных
натуральных чисел. Напишите программу, которая удаляет наименьшее и
наибольшее значение из указанных чис... |
# Abrindo arquivo em modo de Leitura
arquivo = open('notas_alunos.txt', 'r')
lista_notas = []
# Lendo a primeira linha do arquivo
conteudo = arquivo.readline()
# Adicionando a primeira linha do arquivo na lista_notas
# Removendo '\n' com [:-1] e separando as informações
# com split (caractere de separação ';')
linha... |
#!/usr/bin/env python
"""
.. module:: elasticity
:platform: Unix, Windows, Mac, Linux
:synopsis: This module can be used to check the validity of input elasticity for 11 Laue classes.
.. moduleauthor:: Qi Zhang <singularitti@outlook.com>
"""
import abc
import warnings
import numpy as np
__all__ = [
'Stiffn... |
#!/usr/bin/env python
import roslib
import sys
import rospy
import cv2
from std_msgs.msg import String
from sensor_msgs.msg import Image, CameraInfo
from cv_bridge import CvBridge, CvBridgeError
import message_filters
import os
class image_converter:
def __init__(self, FILE_DIR):
# self.rgb_sub = rospy.Subscriber... |
from datastreams.postprocess import filtering, entities
from discovery.oca_definitions import *
from discovery.kernel_constants import *
from discovery.syscall_numbers import *
from ctypes import *
class straceFilter(filtering.Filter):
def initialize(self):
self.systemCall_ptr = self.get_ns_pointer("SYSCALL/SYST... |
from PyObjCTools.TestSupport import TestCase
import objc
import GameplayKit
class TestGKAgent(TestCase):
def testProtocols(self):
objc.protocolNamed("GKAgentDelegate")
def testMethods(self):
self.assertResultIsBOOL(GameplayKit.GKAgent3D.rightHanded)
self.assertArgIsBOOL(GameplayKit.G... |
#!/usr/bin/env python
# USAGE
# python ***.py --shape-predictor shape_predictor_68_face_landmarks.dat
# import the necessary packages
from scipy.spatial import distance as dist
from imutils.video import FileVideoStream
from imutils.video import VideoStream
from imutils import face_utils
import numpy as np
import arg... |
from __future__ import absolute_import, division, print_function
import os
import sys
from setuptools import find_packages, setup
PROJECT_PATH = os.path.dirname(os.path.abspath(__file__))
setup(
name='d3p',
python_requires='>=3.6',
version='0.2.0-devel',
description='Differentially-Private Probabili... |
# https://github.com/encode/django-rest-framework
import datetime
REST_FRAMEWORK = {
'DEFAULT_AUTHENTICATION_CLASSES': (
'rest_framework_jwt.authentication.JSONWebTokenAuthentication',
'rest_framework.authentication.SessionAuthentication',
),
'DEFAULT_PERMISSION_CLASSES': ('apps.api.v1.perm... |
from django.urls import path, include
from .views import (
game_details,
games,
game_state,
manage_game,
library,
uploads,
play,
save_score,
purchase_game,
search,
autosuggestion_search,
autosuggestion_search_library
)
urlpatterns = [
path('', games, name='games'),
... |
for i in range(int(input())):
n = int(input())
p = []
for j in range(n):
p.append(input().split())
op = n
for j in range(1,n):
op ^=j
print(op)
|
import numpy as np
import pandas as pd
import sklearn as sk
from sklearn.model_selection import TimeSeriesSplit
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
from datetime import datetime, date
empty_weeks = [(datetime(year=2012,month=12,day=28),datetime(year=2013,month=1,da... |
import os, re, sys, logging
import maya.cmds as cmds
import maya.mel as mel
import mVray.vrayObjectProperties as vop
import mVray.vrayFrameBuffers as vfb
import dloUtils
reload(dloUtils)
import assetSetup
reload(assetSetup)
######## UI Window ########
class bfSetupMessengerUI():
def __init__(self):
wi... |
import os
import time
import datetime
from importlib import import_module
from flask import Flask, render_template, Response, request
import psutil # sudo pip3 install psutil
import RPi.GPIO as GPIO
# GPIO.getmode()
GPIO.setmode(GPIO.BOARD)
right = 37
left = 35
back = 38
GPIO.setup(left, GPIO.OUT)
GPIO.setup(right, ... |
from django.urls import path
from . import views
urlpatterns = [
path('blog/', views.ListPost.as_view()),
path('blog/<int:pk>/', views.DetailPost.as_view()),
path('upload/', views.FileView.as_view(), name='file-upload'),
path('comment/', views.CommentView.as_view()),
path('blog... |
#!/usr/bin/env python
import matplotlib.pyplot as plt
#Statisitcs for Saquon Barkley's 2018 Fantasy Scoring
fig = plt.figure()
fig.suptitle('2018 Fantasy Points per Game for Saquon Barkley', fontsize=18)
plt.xlabel('Game', fontsize=14)
plt.ylabel('Points', fontsize=14)
plt.plot([1,2,3,4,5,6,7,8,9,10,11], [20.8,24.8... |
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from users.models import User
import uuid
class Transaction(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
user = mod... |
"""Find the longest word in a given string."""
import unittest
def longest_word(sen: str) -> str:
"""
Find the longest word in a space separated string.
:param sen: A space separated string of words. This can also include
punctuation, but punctuation will be ignored.
:return: The longest str... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 21 19:15:01 2019
@author: nico
"""
import sys
sys.path.append('/home/nico/Documentos/facultad/6to_nivel/pds/git/pdstestbench')
import os
import matplotlib.pyplot as plt
import numpy as np
import scipy.signal as sg
from pdsmodulos.signals import FFT
... |
from datetime import datetime, timedelta
def getStartOfAttemptCycleDate():
return getStartOfAttemptCycle().date();
def getStartOfAttemptCycle():
pub_date = datetime.today()
min_pub_date_time = datetime.combine(pub_date, datetime.min.time())
min_pub_date_time -= timedelta(hours=5) # UTC minus 5 is central
return ... |
#! /usr/bin/env python
# coding=utf8
import logging
import os
import sys
import uuid
import pyproxy.safestore.handler.defines as defines
import pyproxy.safestore.db.db_provider as dbprovider
from onedrive import api_v5
from onedrive.api_v5 import DoesNotExists, ProtocolError
from httplib import BadStatusLine, Response... |
import matplotlib.pyplot as plt;
import sys;
import os;
scriptsDir = os.environ.get("UTIL_SCRIPTS_DIR");
if (scriptsDir is None):
raise Exception("Please set environment variable UTIL_SCRIPTS_DIR");
sys.path.insert(0,scriptsDir);
import pathSetter;
import util;
import fileProcessing as fp;
import argparse;
import matp... |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object):
def buildTree(self, inorder, postorder):
"""
:type inorder: List[int]
... |
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