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#!/usr/bin/python3
import argparse
import binascii
import bitarray
import collections
import fcntl
import json
import os
import re
import select
import signal
import socket
import subprocess
import sys
import time
import uuid
import urllib.request
import warnings
class Error(Exception):
pass
class CommandError(E... |
import os
import sys
import colorama
from colorama import Fore
class Logging(object):
"""
Logging class with colored message types
"""
def __init__(self, name=None):
colorama.init(autoreset=True)
def print(self, msg):
sys.stdout.write(Fore.RESET + msg + os.linesep)
def _form... |
class Solution(object):
def findMin(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if not nums: return 0
if len(nums) == 1: return nums[0]
l,r = 0,len(nums)-1
while l<r:
mid = (l+r) / 2
if nums[r] > nums[mid]:
... |
#!/usr/bin/env python
# Funtion:
# Filename:
import re
ip_list = []
with open("ip.txt", 'r', encoding='utf-8') as f:
for line in f.readlines():
if re.search("(\d{1,3}\.){1,3}\d{1,3}", line) != None:
ip_list.append(re.search("(\d{1,3}\.){1,3}\d{1,3}", line).group())
print(ip_list)
|
import pandas as pd
import geopandas as gpd
import numpy as np
import matplotlib.pyplot as plt
import pycountry
from mpl_toolkits.axes_grid1 import make_axes_locatable
df = pd.read_csv('./MinedDataset/datasetForCovidAuthorConnectivityGraph.csv')
selectedColumns = ["Country", "centrality"]
df = df.dropna(axis=0, subse... |
from flask import Flask, jsonify, request, url_for, json
from flask_cors import CORS
from flask_socketio import SocketIO
# Custom imports
from database.DP1Database import Database
# status verkiezingen
is_published = False
# Start app
app = Flask(__name__)
CORS(app)
socketio = SocketIO(app)
conn = Database(app=app... |
import cairocffi as cairo
import ctypes
import sdl2
import sdl2.ext
from ulugugu import events
def main(state):
sdl2.ext.init()
window = sdl2.ext.Window("ulugugu", (800,600))
window.show()
loop(window, state)
sdl2.ext.quit()
def loop(window, state):
sdl_event = sdl2.SDL_Event()
should_redraw = True
... |
premium_shipping = 125
def ground_shipping(weight):
if weight <= 2:
return weight * 1.5 + 20
elif weight > 2 and weight <= 6:
return weight * 3 + 20
elif weight > 6 and weight <= 10:
return weight * 4 + 20
else:
return weight * 4.75 + 20
def drone_shipping(weight):
if weight <= 2:
return ... |
"""
Part 1: Discussion
1. What are the three main design advantages that object orientation
can provide? Explain each concept.
Abstraction: You can hide away the "how" of why things work, and interact easily
with your classes/instances
Encapsulation: You put all the data related to a "thing" o... |
# -*-coding:utf-8-*-
# AUTHOR:tyltr
# TIME :2018/11/25
# regex
import re
MOBILE_PATTERN = re.compile("1[356789]\d{9}") # 手机
EMAIL_PATTERN = re.compile("\w+@\w+\.\w+") # 邮箱
USERNAME_PATTERN = re.compile("[\w\u4e00-\u9fa5]{6,16}") # 用户名
PASSWORD_PATTERN = re.compile("\w{6,16}") # 密码
# email topic
EMAIL_TOPIC = {
... |
# make sure you run this from the project parent directory as
# data being saved to "models/arima_python/dump"
def main() -> None:
from cropcore.model_data_access import get_training_data
from arima.clean_data import clean_data
from arima.prepare_data import prepare_data
from arima.arima_pipeline impo... |
#!python2
import sys
t = int(raw_input().strip())
for a0 in xrange(t):
n,k = raw_input().strip().split(' ')
n,k = [int(n),int(k)]
if (k-1) | k <= n:
print k-1
else:
print k-2 |
class Employee:
def name(self,name):
self.name=name
def ID(self,ID):
self.ID=ID
def time(self,worktime):
self.worktime=worktime
class Student(Employee):
def work(self,time):
self.time=time
print(name,ID,time)
s1=Student()
s1.ID(2301)
|
from PIL import Image
import png
import sys
import numpy as np
import os
def get_png_files(path):
return [os.path.join(dp, f) for dp, dn, filenames in os.walk(path) for f in filenames if "prediction.png" in f ]
def make_transparent(f):
img = Image.open(f)
img = img.convert("RGBA")
datas = img.getdata()
new... |
def count_substring(string, sub_string):
c=0
n=len(string)
m=len(sub_string)
for i in range(n-m+1):
k=0
for j in range(i,m+i):
try:
if string[j] != sub_string[k]:
break;
except:
pass
c+=1
... |
#!/usr/bin/env python
import re
from google_spreadsheet.api import SpreadsheetAPI
GOOGLEDOCS_USER = ''
GOOGLEDOCS_PASS = ''
GOOGLEDOCS_SRC = ''
IOG_AMAZON_SHEET = ['', '']
IMACROS_VERSION_BUILD = '8810214'
IMACROS_STAGE1 = '/home//iMacros/Macros//#stage1.iim'
IMACROS_STAGE2 = '/home//iMacros/Macros//#stage2.iim'
... |
from dataset_toolkit.compress_utils import get_zip_ROI_AU
import_lib = True
try:
import pylibmc as mc
except ImportError:
import memcache as mc
import_lib = False
class PyLibmcManager(object):
def __init__(self, host):
self.AU_couple = get_zip_ROI_AU()
if import_lib:
... |
import abc
class Conta(abc.ABC):
def __init__(self, numero, titular, saldo, limite=1000.0):
self._numero = numero
self._titular = titular
self._saldo = saldo
self._limite = limite
@property
def saldo(self):
return self._saldo
@property
def titular(self):
... |
import random
import copy
class SingletonInstane: # Singleton 포맷의 클래스. 한번 Tester 클래스를 호출하여 작업하면 이후 Tester 클래스의 새로운 instance를 만들어도 이전의 상태를 유지.
__instance = None
@classmethod
def __getInstance(cls):
return cls.__instance
@classmethod
def instance(cls, *args, **kargs):
cls.__instan... |
import numpy as np
import treecorr
import twopoint
import fitsio as fio
import healpy as hp
from numpy.lib.recfunctions import append_fields, rename_fields
from .stage import PipelineStage, TWO_POINT_NAMES
import os
CORES_PER_TASK=64
global_measure_2_point = None
def task(ijklm):
i,j,k,l,m=ijklm
global_measu... |
from pymongo import MongoClient
db = MongoClient()['iot-anyware']
def insert_db(post, collection = 'sanode'):
db[collection].insert_one(post)
def search_db(conditions, collection = 'sanode'):
return db[collection].find(conditions)
|
class Node:
def __init__(self,val):
self.val = val
self.left = None
self.right = None
self.height = 1
class avl:
def insert(self,root,key):
if not root:
return Node(key)
elif key < root.val:
root.left = self.insert(root.left,ke... |
import os
BASEDIR = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG = False
TESTING = False
CSRF_ENABLED = False
CSRF_SESSION_KEY = os.getenv('CSRF_SESSION_KEY')
SECRET_KEY = os.getenv('SECRET_KEY')
# SQLALCHEMY_DATABASE_URI = os.getenv('DATABASE_URL')
SQLALCHEMY_DAT... |
import secrets
import sedate
from copy import copy
from enum import IntEnum
from onegov.activity.models import Activity, Occasion, OccasionDate, Period
from onegov.activity.utils import date_range_decode
from onegov.activity.utils import date_range_encode
from onegov.activity.utils import merge_ranges
from onegov.acti... |
# Generated by Django 3.0.5 on 2020-07-03 13:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('csp_observer', '0002_auto_20200618_1232'),
]
operations = [
migrations.AlterField(
model_name='cspreport',
name='dis... |
import inspect
from . import interfaces
from notifications.interfaces import BaseMessageInterface
def get_interface(class_name: str):
modules = inspect.getmembers(interfaces, inspect.isclass)
interface = next(filter(lambda obj: obj[0] == class_name, modules), (None, None))
return interface[1]
|
'''
This script exports urls af decore objects in a file. Urls are formed by concatinating bucketUrl with max
archive name which are taken from json file. First argument ti the script is input json file and 2nd argument
is output file to export links.
Usage: exportAssetsUrlsFromAppJson.py -i <input json> -o <output fi... |
from guns import Weapon
from pygame import Surface
import cores
from movable import Movable
from pygame.event import Event
from image_loader import ImageLoader
import pygame
fonte_30 = pygame.font.SysFont('arial', 30, True)
class Character(Movable):
def __init__(self, screen: Surface) -> None:
s... |
import logging
import re
import numpy as np
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from nltk.tokenize import word_tokenize
from sklearn.preprocessing import PolynomialFeatures
import codecs
import argparse
import torch.optim as optim
use_cuda = torch.cuda.is_available()
de... |
from E160_config import *
import math
import sys
# Use correct package given version of python
if sys.version_info[0] < 3:
from Tkinter import *
else:
from tkinter import *
from E160_robot import *
from PIL import Image, ImageTk
class E160_graphics:
def __init__(self, environment):
self.envir... |
# -*- python -*-
TaskModel(
'idct',
ports = {'input':MwmrInput(256),
'output':MwmrOutput(64),
},
impls = [ SwTask( 'idct',
stack_size = 1024,
sources = [ 'idct.c' ... |
#!/usr/bin/env python
import cv2
import numpy as np
# parse input
# argv[1] - images path like "./images/"
# argv[2] - input image name (before processed)
# argv[3} - output image name (after processed)
path = '../../test/'
imageName = 'test_rgb.jpg'
processedImageName = 'test_rgb_out_kmeans.jpg'
reshapeValue = 2
max... |
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from scrapy import Field as field
class DoubanmovieItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
#... |
import gevent
import multiprocessing as mp
from gevent import monkey
from functools import partial
import numpy as np
import pandas as pd
# http://www.gevent.org/intro.html#monkey-patching
monkey.patch_socket()
def parallel_apply(data, func, direct_apply=False, process_ct=2, parallelization_module="multiprocessing",... |
# -*- coding: utf-8 -*-
# @Author: IBNBlank
# @Date: 2018-11-03 18:42:27
# @Last Modified by: IBNBlank
# @Last Modified time: 2018-11-04 21:30:56
import tensorflow as tf
import numpy as np
###############
### 创建数据 ###
###############
x_data = np.random.rand(100).astype(np.float32)
y_data = x_data*0.1 + 0.3
#####... |
def quick_sort(arr, start=None, end=None):
if start is None or end is None or \
not start < end:
return
i = start
j = end
base = arr[start]
while i < j:
# 注意顺序，必须从右边开始
while arr[j] >= base and i < j:
j -= 1
while arr[i] <= base and i < j:
... |
'''
Create a list with at least 10 elements in it :-
print all elements
perform slicing
perform repetition with * operator
Perform concatenation wiht other list.
'''
#perform repetition with * operator
list1 = [1]*7
list2 = [4,5,6]
#Perform concatenation with other list
list3 = list1+list2... |
def GCD(a, b):
if b == 0:
return a
else:
return GCD(b, a % b)
if __name__ == '__main__':
a = int(input("Enter value of A:\n"))
b = int(input("Enter value of B:\n"))
gcd = GCD(a, b)
lcm = (a * b) // gcd
print("Greatest Common Divisor : ", gcd)
print("Lowest Common Mult... |
class Solution:
def searchRange(self, nums, target):
res = [-1, -1]
if not nums:
return res
l, r = 0, len(nums) - 1
while l < r:
m = l + (r - l) / 2
if nums[m] < target:
l = m + 1
else:
r = m
if n... |
# this is a float type number
number = 3.25
print(type(number))
# this is an int type number
anotherNumber = 4
print(type(anotherNumber))
a = 12
b = 3
print(a + b) # addition
print(a - b) # subtraction
print(a * b) # multiply
print(a / b) # dividing
print(a // b) # dividing rounding down
print(a % b) # remain... |
"""Tests downloading and reading of the GO annotation file from NCBI Gene.
python test_NCBI_Entrez_annotations.py
"""
__copyright__ = "Copyright (C) 2016, DV Klopfenstein, H Tang. All rights reserved."
__author__ = "DV Klopfenstein"
import sys
sys.path.insert(0, '..') # Use local version of goatools during t... |
import json
import os
import time
from threading import Thread, Event
from typing import Optional, Any
from mcdreforged.api.all import *
QBM_PID = 'quick_backup_multi'
PLUGIN_METADATA = {
'id': 'timed_quick_backup_multi',
'version': '1.0.0',
'name': 'Timed QBM',
'description': '一个QuickBackupM插件的扩展，用于定时触发QBM从而进行自动... |
# John Harney, Centre College, 09.17.19
# this code exists thanks to Texas-Mark on the official RPi forums,
# he shared the code the original (PIR sensor) iteration of this was based on at
# https://www.raspberrypi.org/forums/viewtopic.php?t=176241
# button code version relied heavily on Soren at
# https://raspberryp... |
#!/usr/bin/env python
#encoding=utf-8
import tensorflow as tf
import numpy as np
from multiply import ComplexMultiply
import math
from scipy import linalg
from numpy.random import RandomState
rng = np.random.RandomState(23455)
from keras import initializers
from keras import backend as K
import math
class CNN(object)... |
import os
import lmdb # install lmdb by "pip install lmdb"
import time
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
import pickle
import torch.utils.data as data
import torchvision.transforms as transforms
from PIL import Image
import random
random.seed(9001)
import torchvision.tra... |
__author__ = 'barnett'
#refactored factorial(n) for efficiency
def factorial(n):
result = 1
while n >= 1:
result = result * n
n -= 1
return result
|
from hangman import update_word_pattern
def checker():
"""
Test for the update_word_pattern function
Prints a result for all test
:return: Boolean value, if the test succeeded
"""
flag = True
if update_word_pattern("word", "__r_", 'h') != "__r_":
flag = False
el... |
from rv.api import m
def test_delay(read_write_read_synth):
mod: m.Delay = read_write_read_synth("delay").module
assert mod.flags == 1105
assert mod.name == "d e l a y"
assert mod.dry == 158
assert mod.wet == 273
assert mod.delay_l == 242
assert mod.delay_r == 43
assert mod.volume_l ==... |
#!/usr/bin/env python
# Funtion:
# Filename:
import configparser
config = configparser.ConfigParser()
config.read('new_config.ini')
#
# # 查询方法
# print(config.sections()) # 打印所有的section，为列表
# conf_section = config.sections()[0] # 取出section里的第一个元素
# print(config.options(conf_section)) # 打印该section下面所有的opti... |
#importing necessary packages
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import statistics
import statsmodels.formula.api as smf
import statsmodels.api as sm
import pickle
## reading the dataset
df=pd.read_csv("C:\\Users\\Ranna\\Documents\\excelR\\Project\\dat... |
import tkinter
import tkinter as tk
from tkinter import Label,Entry,Button,NORMAL,END,RIGHT,Text,Y,WORD
#from EXPENSESpack.Pay_Expenses.PayOperation import operation
from EXPENSESpack.Pay_Expenses.Model import FormValues
from tkinter import messagebox
from tkinter.ttk import *
class MyForm:
No=""
am=""... |
def media_notas(nome_arquivo):
arquivo = open(nome_arquivo, 'r')
aluno_nota = arquivo.read()
print(aluno_nota)
aluno_nota = aluno_nota.split("\n")
print(aluno_nota)
for x in aluno_nota:
print(x)
if __name__ == '__main__':
media_notas('notas1.txt')
|
import pytest
def get_data():
l = [1,2,3]
return l
@pytest.fixture(params=get_data(),scope="module")
def myfixture(request):
print("参数为：{}".format(request.param))
print("执行myfixture")
def pytest_collection_modifyitems(session, config, items):
print(type(items))
items.reverse()
for ite... |
# A Simple Hello World application
# Assiging String
a = "HELLO"
b = "World"
#The + operator is used to concatinate the two String that was assigned to A and B
print(a + b );
|
class Solution(object):
def findDisappearedNumbers(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
for n in range(len(nums)):
temp = abs(nums[n])-1
if nums[temp] > 0:
nums[temp] = -nums[temp]
ans = []
for n ... |
import os
import errno
import tarfile
from PIL import Image
from torch.utils.data import Dataset
from .utils import DEFAULT_PATH
class ImageNet32Dataset(Dataset):
urls = [
'http://image-net.org/small/train_32x32.tar',
'http://image-net.org/small/valid_32x32.tar'
]
raw_folder = 'imagenet32... |
from sklearn import linear_model, svm, preprocessing
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.pipeline import make_pipeline
import matplotlib.pyplot as plt
from joblib import dump
import csv
class M... |
"""Classes to match FbxObjects and FbxProperties from one FbxScene to another.
"""
import fbx
from brenpy.utils import io_utils
from brenpy.core import bpDebug
reload(io_utils)
from brenfbx.core import bfCore
from brenfbx.utils import bfFbxUtils
from brenfbx.fbxsdk.core import bfObject
DEBUG_LEVEL = bpDebug.Debu... |
from . import format
|
import psycopg2
conn = psycopg2.connect("dbname=postgres user=postgres password=admin_post")
cur = conn.cursor()
cur.execute("""
CREATE TABLE QIPM.Demographic (
Deomgraphic_EntryID integer,
MRN text primary key,
Demographic_FirstName text,
Demographic_LastName text,
Demographic_DOB date,
Demographic_Sex text,... |
# @Title: 使字符串平衡的最少删除次数 (Minimum Deletions to Make String Balanced)
# @Author: 2464512446@qq.com
# @Date: 2020-11-15 00:39:59
# @Runtime: 848 ms
# @Memory: 22.5 MB
class Solution:
def minimumDeletions(self, s: str) -> int:
n = len(s)
a = [0] * n
b = [0] * n
cur = 0
for i in... |
#!/usr/bin/env python3
import os, sys, math, functools, numpy
# similarity measures
SIMILARITY_EUCLIDEAN = 0
SIMILARITY_MANHATTAN = 1
SIMILARITY_COSINE = 2
# reads files from a folder line by line
# iterating returns (line, filename)
class DirectoryCrawler:
def __init__(self, path):
self.path = path
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
# To update the package version number, edit fdp/__version__.py
version = {}
with open(os.path.join(here, 'fdp', '__version__.py')) as f:
exec(f.read(), version)
... |
class NoDataFoundException(BaseException):
pass
|
import torch
from matplotlib import pyplot as plt
import numpy as np
import random
# 人工生成一个训练样本
# 样本特征数为2
# 假定真实权重为[2,-3.4]_transpose, 偏差b=4.2
# 同时加入一个随机噪声项，服从均值为0，标准差为0.01的正太分布，噪声代表数据集中无意义的干扰
# 样本特征数
num_inputs = 2
# 样本数
num_examples = 1000
# 真值权重
true_w = [2, -3.4]
true_w = torch.tensor(true_w) # 转换成tensor
true_... |
'''Write a Python function that accepts a string and calculate the number
of upper case letters and lower case letters.
Sample String : 'The quick Brow Fox' Expected Output :
No. of Upper case characters : 3
No. of Lower case Characters : 12
'''
def case(s):
d={"UPPER_CASE":0, "LOWER_CASE":0}
for c in s:
... |
import tensorflow as tf
import tensorflow_addons as tfa
import numpy as np
# TODO move p and seed to Augs
# TODO add seed to some classes
class Augs(object):
def __init__(self, only_image):
self.only_image = only_image
self.p = 0.5
self.perform = True
self.seed = None
def ran... |
from webtest import TestApp as Client
def test_view_exceptions(gazette_app):
client = Client(gazette_app)
assert (
"Sie versuchen eine Seite zu öffnen, für die Sie nicht autorisiert "
"sind"
) in client.get('/groups', status=403)
assert (
"Die angeforderte Seite konnte nicht ... |
#!/usr/bin/python
# vim: set fileencoding=UTF-8
d = 0
n = int(input("? "))
if n > 0 :
i = 2
while i <= n // 2 :
if n % i == 0 :
print(n, 'é divisível por', i)
d = d + 1
i = i + 1
if d == 0 :
print(n, 'é primo.')
|
import speedycloud
bucket_name = "bucketName"
key_name = "keyName"
file_path = "/root/abc.mp4"
cli = speedycloud.create_object_storage_api("access_key", "secret_key")
cli.upload_big_data(bucket_name, key_name, file_path, "file", {})
|
#!/usr/bin/python3
tupla = ('valor1', 'valor2', 'valor3','valor4')
#print(tupla1)
#print(type(tupla1))
#Criar uma Tupla com valores aleatorios
print(f"1º) {tupla}")
#Acessar o primeiro indice
print(f"2º) {tupla[0]}")
#Mostrar o 3º indice em formato de titulo
print(f"3º) {tupla[2].title()}")
#mostrar a 3ª letra do 3... |
# -*- coding: utf-8 -*-
# © 2016 Alessandro Martini, Trustcode
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
from datetime import datetime
from odoo import api, fields, models
class SaleOrder(models.Model):
_inherit = 'sale.order'
version = fields.Integer(u'Versão', compute='_compute... |
#title :models.py
#description :
#author :juniorgerdet
#date :04-06-2015
#version :0.1
#usage :
#notes :
#python_version :2.7.10
#==============================================================================
from django.db import models
from django.contr... |
import sys
import numpy as np
sys.path.append("..")
from mcts import MCTS
from player import Player
from models.dumbnet import DumbNet
from neural_network import NeuralNetwork
class UninformedMCTSPlayer(Player):
def __init__(self, game, simulations):
self.game = game
self.simulations = simulations... |
from ED6ScenarioHelper import *
def main():
# 卢安
CreateScenaFile(
FileName = 'T2700 ._SN',
MapName = 'Ruan',
Location = 'T2700.x',
MapIndex = 1,
MapDefaultBGM = "ed60016",
Flags = 0,
Ent... |
'''
Compare raster values. Output confusion matrix.
Currently hard-coded for Turner age map bins.
INPUTS (in parameter file):
-predictionsRaster
-truthRaster
-outputPath
OUTPUT:
-confusion matrix CSV
EXAMPLE:
python compareRasters.py path/to/paramfile.txt
'''
import sys, os, gdal
import numpy as np
... |
# Generated by Django 3.1.7 on 2021-03-18 13:24
import cloudinary.models
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Watch',
fields=[
(... |
# encoding: utf-8
# pylint: disable=invalid-name,wrong-import-position
"""
本项目Invoke Task的入口
基本上是frol/flask-restplus-server-example的一个翻版，
很多都是沿用的frol的配置，然后做了优化与汉化。
出处：https://github.com/frol/flask-restplus-server-example
"""
import os
import platform
from invoke import Collection
from invoke.executor import Executor... |
import random
import requests
from django.shortcuts import render, redirect
import time
from .forms import LocationForm
from .models import *
from .forms import *
from django.http import HttpResponse, JsonResponse
from django.contrib.auth.decorators import login_required
import os
from django.urls import reverse
import... |
import sys
from pylinac.version import __version__
# check python version
if sys.version_info[0] < 3 or sys.version_info[1] < 7:
raise ValueError(
"Pylinac is only supported on Python 3.7+. Please update your environment."
)
# import shortcuts
# core first
from .core import decorators, geometry, imag... |
# Generated by Django 2.2.4 on 2019-08-28 15:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('base', '0066_pyproductwebcategory_parent_id'),
]
operations = [
migrations.CreateModel(... |
import logging
import pytest
import requests_mock
import transaction
from onegov.pay.models.payment_providers.stripe import (
StripeConnect,
StripeFeePolicy,
StripeCaptureManager
)
from purl import URL
from unittest import mock
from urllib.parse import quote
def test_oauth_url():
provider = StripeCon... |
# -*- coding: utf-8 -*-
from odoo import fields
from odoo.tools import DEFAULT_SERVER_DATE_FORMAT
def format_date(date, date_format=DEFAULT_SERVER_DATE_FORMAT):
if isinstance(date, basestring):
date = fields.Date.from_string(date)
return date.strftime(date_format)
def format_amount(amount, decimal_... |
#!/usr/bin/python2
#Author Jeganathan Swaminathan <jegan@tektutor.org> <http://www.tektutor.org>
import subprocess
import json
from os.path import expanduser
def executeDockerCommand(*args):
return subprocess.check_output(["docker"] + list(args)).strip()
def docker_inspect(fmt, mcn):
return executeDockerComm... |
'''
Function:
俄罗斯方块主程序
Author:
Charles
公众号:
Charles的皮卡丘
'''
import sys
import random
from modules.utils import *
from modules.ai import TetrisAI
from PyQt5.QtCore import Qt, QBasicTimer
from PyQt5.QtWidgets import QMainWindow, QDesktopWidget, QApplication, QHBoxLayout, QLabel
'''定义俄罗斯方块游戏类'''
class TetrisGame(QMai... |
import os
import zipfile
import ntpath
import datetime
from time import time
#basedir = r"C:\test\ziptest"
basedir = r"X:\C"
today = datetime.date.today()
now = time()
days = 365 * 3
"""
Zips qualified files.
"""
def zipit(originalFile):
try:
print "Zipping " + originalFile
... |
from redis import StrictRedis
import logging
class Config(object):
"""配置文件类"""
# 配置秘钥:项目中的CSRF和session会用到
SECRET_KEY = "5I35e4Y6IUrBiEETcwO/eWrJ/Zxl5EbfBp8gHqxE9qQHgqmu" + \
"OnHr2w6zijnMGYdDPrURJSolj9GtFGFmcbg5ZdJnMhx1OqZqI0L" + \
"9AtoGnvlCWUwe0RFzWJEekoubjopmQhrgyZkCU... |
'''
Created on Nov 3, 2015
@author: Jonathan
'''
def canMake(message, letterlist):
messageLetters = "".join(message).lower()
letterlistLetters = "".join(letterlist).lower()
if set(messageLetters) <= set(letterlistLetters):
return "yes"
else:
return "no"
if __name__ == '__main__':
... |
from selenium import webdriver
from time import sleep
driver = webdriver.Chrome()
driver.get("https://www.youdao.com")
driver.find_element_by_id("translateContent").send_keys("hello")
sleep(1)
driver.find_element_by_id("translateContent").submit()
sleep(2)
driver.quit() |
from .test_camera import TestCamera
from construct import Computed, Struct
def assert_response_code_different(response, value, reason):
'Check that the code of a response is not value.'
try:
assert response.ResponseCode != value, reason
except AttributeError:
pass
def assert_response_cod... |
#!/usr/bin/python
#\file lib1.py
#\brief certain python script
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
#\date Dec.28, 2015
import os
def Run(t, *args):
a= args[0] if len(args)>0 else None
b= args[1] if len(args)>1 else None
print '========='
print 'a is:',a
print 'b is:',b
prin... |
from django.db import models
class YahooStock(models.Model):
rowid = models.CharField(primary_key=True, max_length=40)
symbol = models.CharField(max_length=10)
exchange_symbol = models.CharField(max_length=10)
date = models.DateField()
open_price = models.FloatField(blank=True, null=True)
high_price = models.F... |
def kadane_algo(a):
low = high = i = j = 0
s = 0
max_sum = min(a) - 1
for i in range(len(a)):
s = s + a[i]
print s, max_sum
if s > max_sum:
max_sum = s
low = j
high = i
print "------", max_sum, low, high
elif s < 0:
... |
# -*- coding=utf-8 -*-
# author: dongrixinyu
# contact: dongrixinyu.89@163.com
# blog: https://github.com/dongrixinyu/
# file: bilstm_attention_model.py
# time: 2020-07-15 17:37
# --------------------------------------------------------------------------------
'''
DESCRIPTION:
1、word embedding：词向量一般是普通模型中参数量最大的部分... |
"""
===========================
Cross-Session Motor Imagery
===========================
This example show how to perform a cross session motor imagery analysis on the
very popular dataset 2a from the BCI competition IV.
We will compare two pipelines :
- CSP+LDA
- Riemannian Geometry+Logistic Regression
We will use ... |
from pytimize.graphs import UndirectedGraph
from pytimize.parsers import GraphParser
edges = GraphParser.parse("sa:3 ab:4 bt:1 td:2 dc:2 cb:2 ac:1 sc:4")
g = UndirectedGraph(edges)
# Shortest path using primal dual algorithm
print(f"Shortest Path: {g.shortest_path('s', 't')}\n")
# Shortest path linear program formu... |
"""使用列表构建二叉堆"""
class binaryheap:
def __init__(self):
self.heaplist=[0]
self.currentsize=0
def add_up(self,i):
a=self.currentsize//2
while a>0:
if self.heaplist[i]<self.heaplist[a]:
temp=self.heaplist[i]
self.heaplist[i]=self.heaplist[... |
from ex11_1 import parse_cdp_neighbors
from draw_network_graph import *
infiles = [
"sh_cdp_n_sw1.txt",
"sh_cdp_n_r1.txt",
"sh_cdp_n_r2.txt",
"sh_cdp_n_r3.txt",
]
def create_network_map(filenames):
result = {}
for filename in filenames:
with open(filename) as show_command:
... |
"""
Stuff
"""
import fbx
from types import NoneType
from brenpy.qt.bpQtImportUtils import QtCore
from brenpy.qt.bpQtImportUtils import QtWidgets
from brenpy.qt.bpQtImportUtils import QtGui
from brenpy.qt.item import bpQtItemsModels
from brenfbx.core import bfCore
from brenfbx.qt.scene import bfQtSceneModels
from b... |
'''
I'm new to coding and now I want to get the sum of two arrays...actually the sum of all their elements. I'll appreciate for your help.
P.S. Each array includes only integer numbers. Output is a number too.
(Developer Note: this was the Kana's description, not me asking for help)
'''
def array_plus_array(arr1,arr... |
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