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# -*- coding: utf8 -*-
from __future__ import unicode_literals
import time
from datetime import datetime
from eulxml import xmlmap
def windows_to_unix_timestamp(windows_timestamp):
""" Converts a Windows timestamp to Unix one
:param windows_timestamp: Windows timestamp
:type windows_timestamp: int
... |
market=input("enter your place")
name=input("enter your name")
if market=="name":
print("we will go to market")
else:
print("we will not go to market") |
import argparse
import os
import shutil
import time
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import numpy as np
import datasets
import models as models
import matplotlib.pyplot as plt
import torchvision.models as torch_m... |
# test json
import sys
from urllib.request import Request, urlopen # 모듈
from datetime import *
import json
'''
url = 'http://www.naver.com'
request = Request(url) # url요청
resp = urlopen(request) #url열기
resp_body = resp.read().decode("utf-8") #utf-8로 인코딩
print(resp_body)#body출력
'''
#에러
try:#예외처리
url = 'http://kick... |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 7 21:19:11 2018
@author: initial-h
"""
import numpy as np
import copy
from operator import itemgetter
from collections import defaultdict
def rollout_policy_fn(board):
"""
a coarse, fast version of policy_fn used in the rollout phase.
"""
action_probs ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 20 13:04:39 2019
@author: root
"""
import numpy as np
import matplotlib.pyplot as plt
import cv2
import openslide as opsl
import sys
import os
import glob
from keras.models import load_model
os.environ['CUDA_VISIBLE_DEVICES']='0'
resnet_model = loa... |
length_unit = "mm"
torque_unit = "nm"
def get_torque(
drive_shaft_diameter=5,
drive_shaft_torque=0.2,
gear_small_diameter=15,
gear_large_diameter=55,
):
drive_shaft_radius = drive_shaft_diameter * 0.5
gear_large_radius = gear_large_diameter * 0.5
gear_small_radius = gear_small_diameter * 0... |
import re
import datetime
from requests import ConnectionError
from ..exceptions import (
APIError,
RaceCardError,
InvalidResponse,
)
from ..utils import check_status_code
from .baseendpoint import BaseEndpoint
from .. import resources
class RaceCard(BaseEndpoint):
"""
RaceCard operations.
""... |
#visualize light curves
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import os
from definitions import PNG_FOLDER
def chart_curves(kepid,tce_plnt_num,global_curve,local_curve,koi_disposition):
fig,axes=plt.subplots(1,2,figsize=(20,6))
gv=sns.scatterplot(data=global_curve,ax=axes[0... |
import cv2
import numpy as np
from matplotlib import pyplot as plt
def histeq(im,nbr_bins=256):
""" Histogram equalization of a grayscale image. """
#get image histogram
imhist,bins = histogram(im.flatten(),nbr_bins,normed=True)
cdf = imhist.cumsum() # cumulative distribution function
cdf = 255 * c... |
from bspump import BSPumpApplication, Pipeline
import bspump.trigger
import bspump.common
import bspump.mongodb
import logging
##
L = logging.getLogger(__name__)
##
class MyApplication(BSPumpApplication):
def __init__(self):
super().__init__()
svc = self.get_service("bspump.PumpService")
svc.add_connection(... |
#----------------------------------------------------------------------------#
# #
# Copyright (C) 2009 Department of Arts and Culture, #
# Republic of South Africa #
# ... |
#! /usr/bin/env python
# util.py
# Created on 2017-09-14.
import os
import argparse
import importlib
import importlib.util
import sys
import json
import shutil
import re
"""
For reference, the pipelines that are functional are the following:
gclass_ase_pipeline
gclass_oosase_pipeline
gc... |
class Solution(object):
def longestCommonPrefix(self, strs):
"""
:type strs: List[str]
:rtype: str
"""
if len(strs) == 0:
return ''
s = strs[0]
minLen = min(map(len, strs))
i = 0
res = []
while i < minLen:
char =... |
from random import shuffle
from PIL import Image, ImageOps, ImageDraw
from math import floor, ceil, modf
def stepped_range(end,steps):
t = 0
while t<end:
yield t
t+=1/steps
def agent_to_col(agent,pixel_type=0):
return tuple(eval(agent.name) + [pixel_type])
def name_from_pixel(pixel):
... |
# deguwedurl = 'https://weather.naver.com/today/06110101' # 날씨1 주소
# deguwed1 = requests.get(deguwedurl)
# deguwed1.raise_for_status()
# deguwedso1 = BeautifulSoup(deguwed1.text, 'lxml')
# deguwedurl1 = 'https://weather.naver.com/today/06140530' # 날씨2 주소
# deguwed11 = requests.get(deguwedurl1)
# deguwed11.raise_for_st... |
from DNA import *
overlap_length = 3
strands = read_fasta_file()
suffixes = {}
prefixes = {}
for strand in strands:
suffix = strand.sequence[-overlap_length:]
prefix = strand.sequence[:overlap_length]
if suffix in suffixes:
suffixes[suffix] = suffixes[suffix] + [strand.title]
else:
... |
data = input('Data de nascimento: ')
dia, mes, ano = data.split('/')
meses = {1: 'Janeiro', 2: 'Fevereiro', 3: 'Março', 4: 'Abril', 5: 'Maio',
6: 'Junho', 7: 'Julho', 8: 'Agosto', 9: 'Setembro', 10: 'Outubro',
11: 'Novembro', 12: 'Dezembro'}
print ('Você nasceu em:')
print ('%s de %s de %s' % (dia, ... |
"""
This file opens, converts and compresses the wav file into a usable MFCC for our application.
"""
import librosa
def mfcc(wav_file):
# Read out audio range and sample rate of wav file
audio_range, sample_rate = librosa.load(path=wav_file, sr=None)
hop_length = 256 #this value is based on the KI1-Lab w... |
#!/usr/bin/env python3
#-----------------------------------------------------
# original author: Andrea Lucaroni
# Revision: $Revision: 1.3 $
# Last update: $Date: 2012/05/22 08:22:04 $
# by: $Author: taroni $
#-----------------------------------------------------
from __future__ import print_... |
print("CALCOLO SISTEMI CON IL METODO DI CRAMER")
print()
print("numero di incognite:")
m = input()
if m == "2":
while True:
#valori dell'eq
cx1 = int(input("inserire coeff di x (prima eq.)"))
cy1 = int(input("inserire coeff di y (prima eq.)"))
tn1 = int(input("inserire coeff noto (prima eq.)"))
cx2 = int(in... |
class Animal:
def __init__(self, name, legs):
self._hunger = 5
self.name = name
self.legs = legs
def breathe(self):
print("Breathing in ...")
print("Breathing out...")
self._hunger += 0.1
def eat(self):
print("Nom nom nom")
self._hunger = 8
... |
"""
#README
Some information on running the computer vision algorithm
-------------------------------------------------------------------
RUNNING of the program
The program is setup in such a way that it should be trivial to run, and even adapt for new
sets of images.
1. Make sure the set of... |
#enter the values
total1 = float(input("Enter the total cost: "))
total2 = float(input("Enter the amount of money you paid: "))
c = float(total2 - total1)
c1 = c*100
c2 = round(c1/5.0)*5.0
n = c2//200
r1 = c2%200
n2 = (r1//100)
r2 = r1%100
n3 = (r2//25)
r3 = r2%25
n4 = (r3//10)
r4 = r3%10
n5 = (r4//5)
#print v... |
# -*- coding: utf-8 -*-
import sys
from twilio.rest import Client
class SmsSend():
def sendSms(self,smstext):
self.account_sid = "ACd4d865c7dd7d7a6e74713d94aec45659"
self.auth_token = "6145c0d0768e989245b210dbe75c2888"
self.client = Client(self.account_sid, self.auth_token... |
#set creating from list
x=[1,1,1,2,2,2,2,3,3,3,3,3,4,5]
set(x)
#union
y={1,2,3,22,23,24,25,26}
xy-x | y
#intersection
xxyy=x $ y
#minus
z=x-y
#x^y
z1=x^y
|
from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('round_robin.views',
url(r'round_robin/(?P<robin_id>[0-9])$', 'round_robin'),
)
|
# -*- coding: utf-8 -*-
# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
#
# 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... |
import paho.mqtt.client as mqtt
import os
def on_connect(client, userdata, flags, rc):
if rc == 0:
print("Connected success")
else:
print("Connected fail with code",{rc})
client = mqtt.Client()
client.username_pw_set(username="perri",password="sabor4")
client.on_connect = on_connect
port = str... |
import torch
import numpy as np
def train_cam(loader, victim_model, attack_model, optimizer, criterion, lambda_, device):
victim_model.eval()
attack_model.train()
corrects = 0
for x, y in loader:
x = x.to(device).float()
y = y.to(device).long()
optimizer.zero_grad()
v... |
from flask import Flask, url_for, redirect, render_template, request
import requests
import json
import hashlib, binascii, time
app = Flask(__name__)
@app.route('/')
def show_index():
return redirect("/static/index.html", code=302)
@app.route('/car')
def request_car():
carId = request.args.get('carId')
i... |
# Numeric data types -
# int, float, complex, Decimal
# int - numbers without fractions, significantly faster computations compared to float
# float - numbers with fractional parts
# int - there's no limit the size of values you can store in Python int
# float - max float value is limited and also for it's min value... |
import random
from enum import Enum, unique
@unique
class Weather(Enum):
SUNNY = 1
CLOUDY = 2
RAINY = 3
def __str__(self):
return self.name
@staticmethod
def pick_random():
return random.choice(list(Weather))
|
import pickle
cars=["nano","bugatii","porche","bmw"]
file="mycars.pkl"
fileobj=open(file,'wb')
pickle.dump(cars,fileobj)
#how to depickle
file="mycars.pkl"
fileobj=open(file,'rb')
mycar=pickle.load(fileobj)
print(mycar) |
import unittest
from tensor import *
class TestTensor(unittest.TestCase):
"""
basic operation test
"""
def test_select(self):
data = np.array(range(0, 9)).reshape(3,3).astype('int')
a = Tensor(data, autograd=True)
b = a.select_index(0, 1)
c = a.select_index(1, 1)
... |
# -*- coding:utf-8 -*-
import time, random, string, urllib2, cgi, hmac, hashlib
class oauth():
oauth_params={}
request_token_url = 'http://gdd-2010-quiz-japan.appspot.com/oauth/f769083a642cab4135939e68'
def __init__(self):
self.oauth_params = {
"oauth_consumer_key": 'f769083a642c... |
import time
import requests
from behave import *
from configuration import CONFIGURATION
from utils.enums.config import config
from utils.enums.field_type import FieldType
from utils.enums.payment_type import PaymentType
from utils.enums.request_type import RequestType, request_type_response, request_type_applepay
f... |
n = input()
a = map(int, raw_input().split())
a.sort()
j = len(a) - 1
i = 0
sum1 = a[i]
sum2 = a[j]
if n > 1:
while abs(i - j) != 1:
if sum2 > sum1:
i += 1
sum1 += a[i]
else:
j -= 1
sum2 += a[j]
if sum2 > sum1:
print n - j
else:
... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
# SMGP v3.0 api file
import sys
import os
import socket
import struct
import hashlib
import binascii
import time
import datetime
import select
import MySQLdb as mysql
import random
import redis
MEMBER_LEVEL_KEY = 'tyrant:L:%d'
conn = mysql.connect("localhost",user="tyrant"... |
import os
from flask import Flask
from flask_admin import Admin
import models
import views
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('SQL_ALCHEMY_CONNECTION', 'postgresql://localhost/campaign_finance')
models.db.init_app(app)
admin = Admin(app, url='/', name='Campaign Finance', templa... |
# Define here specific loaders for your models
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/loaders.html
from scrapy.loader import ItemLoader
from itemloaders.processors import MapCompose, Compose, TakeFirst
def select_spec(spec_list, loader_context):
label = loader_context.get('label')
... |
class TransitionDatapoint:
def __init__(self, curr_obs, action, next_obs, y, curr_state, next_state, action_prob, policy_index, step, reward):
"""
:param curr_obs: Current observation on which action is taken
:param action: Action that was taken on current observation
:param next_ob... |
# Initial List
nums = [0, 0, 2, 3, 4, 4]
# List of items to remove
nums2 = []
#
# a
# for
# if
#
previous = "a"
for current in nums:
if current == previous and previous != "a":
nums2.append(current)
previous = current
#
#
# Removing items in nums2 from nums
for i in nums2:
nums.remove(i)
print... |
import logging
from flowview.metadata_manager import MetadataException
from flowview.shell_executor import ShellException
from flowview_handler import FlowviewHandler
logger = logging.getLogger(__name__)
class CleanupHandler(FlowviewHandler):
"""
Handler fpr cleaning up Hive table, metadata, HDFS directories
... |
import aiomas
import asyncio
import datetime
import logging
import pytz
from common.config import config
log = logging.getLogger('common.rpc')
#CODEC = aiomas.codecs.MsgPack
CODEC = aiomas.codecs.JSON
EXTRA_SERIALIZERS = [
lambda: (datetime.datetime, lambda t: t.timestamp(), lambda t: datetime.datetime.fromtimestam... |
n = int(input())
dp = [j for j in range(n + 1)]
print(dp)
for idx, value in enumerate(dp):
if idx == 0:
continue
if idx == 1 or idx == 2:
dp[idx] = 1
continue
dp[idx] = dp[idx - 1] + dp[idx - 2]
print(dp[n])
|
<li>
It is a Syntax Error if HasDirectSuper of |MethodDefinition| is *true*.
</li>
<li>
It is a Syntax Error if PropName of |MethodDefinition| is `"prototype"`.
</li> |
# -*- coding:utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import sys
import types
from io import StringIO
from . import constants as C
from . import utils
class Config(object):
def clone(self):
... |
__author__ = 'danielk'
import sys,re,zipfile,os
import hashlib
###############################################################################
#
# This script should help build RPM zip file
#
###############################################################################
def ExtarctVer(FullPath):
MatchPattern=re... |
def nTerm(N):
n = 0
if(N % 2 == 0):
n = (N * N) - 1
else:
n = (N * N) + 1
print(n);
N = 9
nTerm(N)
|
# -*- coding: utf-8 -*-
from odoo import models, fields, api
class project_project(models.Model):
_inherit = 'project.project'
@api.model
def _default_user_id(self):
return [(4, self.env.uid)]
# supervisior_id = fields.Many2one("res.users", "Supervisor")
supervisor_id = fields.Many2many... |
import os
import numpy as np
import matplotlib.pyplot as plt
import Regression_Utils
def get_lick_events(base_directory, preceeding_window=10, following_window=20):
# Load Downsampled AI
downsampled_ai_matrix = np.load(os.path.join(base_directory, "Downsampled_AI_Matrix_Framewise.npy"))
number_of_frames... |
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from sklearn.preprocessing import StandardScaler
import glob
from spatial_bin import bin_spatial # Color Feature
from color import color_hist # Color Feature
import pickle as pkl
from get_hog import get_hog_features
def e... |
#!/bin/env python
import unittest
from budget import Budget
import psycopg2
from pyyamlconfig import load_config
class TestBudget(unittest.TestCase):
@staticmethod
def run_query(query):
config = load_config('tests/test_config.yaml')
with psycopg2.connect(
dbname=config.get('databa... |
"""
O(n)
prev 用来记录前一个range的结束位置
"""
class Solution(object):
def findMissingRanges(self, nums, lower, upper):
"""
:type nums: List[int]
:type lower: int
:type upper: int
:rtype: List[str]
"""
result = []
nums.append(upper+1)
pre = lower - 1
... |
import os
import requests
from services import generateEncryptedData
test_url = "https://core.newebpay.com/MPG/mpg_gateway"
data = generateEncryptedData()
MerchantID = os.getenv('MerchantID')
session = requests.Session()
r = session.post(test_url, data={"MerchantID": MerchantID,
"... |
import numpy as np
import tensorflow as tf
from DataUtil2 import DataUtil
import copy
class Fism:
def __init__(self, adv = False, alpha = 0.5):
self.user_num = 6040
self.item_num = 3706
self.K = 64
self.batch = 1024
self.max_len = 2313
self.l2_reg = 5e-6
self... |
import jieba
#
# sentence = '我喜欢上海东方明珠'
# # cut_all=True 全模式
# w1=jieba.cut(sentence,cut_all=True) #全模式、精准模式、搜索引擎模式
# for item in w1:
# print(item)
# print('-'*20)
# # cut_all=False 精准模式，依赖分词的优先级
# w2=jieba.cut(sentence,cut_all=False) #全模式、精准模式、搜索引擎模式
# for item in w2:
# print(item)
# print('-'*20)
# # 搜索引擎模式
... |
import datetime
import sys
import os.path
from . import dsl
from . import daterange
from . import generate_timetable
from . import parse_coursefile
def parse_date(text):
split = text.split('-')
assert(len(split) == 3)
return tuple(map(int, split))
def main():
args = sys.argv[1:]
if len(args) > 2 and args[1] == ... |
s=input()
k=[]
for i in s:
if(i!='+'):
k.append(int(i))
else:
k.sort()
r=""
for i in k:
r=r+str(i)+'+'
else:
print(r[:-1])
|
# Generated by Django 3.0.5 on 2021-06-26 16:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('ORM'... |
#!/usr/bin/env python
'''
Tornado server for Cesium map module
Samuel Dudley
Jan 2016
'''
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.httpserver
import logging
from config import SERVER_INTERFACE, SERVER_PORT, APP_SECRET_KEY, WEBSOCKET, BING_API_KEY, APP_DEBUG, APP_PREFIX
... |
import os
import numpy as np
from scipy.interpolate import interp1d
import sys
sys.path.append('./baseTools')
from plotClass import plotCLASS
class sMsNormCalc():
def __init__(self, deBrogWL, scatAmpFolder, NpadBins):
self.plc = plotCLASS()
self.atomTypes = ["carbon", "nitrogen", "oxygen", "io... |
from PyObjCTools import NibClassBuilder
'''
FIXME: merge nib files or load differently.
from https://pythonhosted.org/pyobjc/api/module-PyObjCTools.NibClassBuilder.html:
Deprecated since version 2.4: Use of this module is deprecated because it
cannot be used with modern versions of Xcode (starting at Xcode 4.0), and... |
from tkinter import *
import tkinter.ttk as ttk
root = Tk() # Tk class 호출, 그 안의 함수 및 변수 사용
root.title("Nado GUI") # 타이틀 설정
root.geometry("640x480") # 프로그램 창 크기, 가로 * 세로, 등장 위치 좌표
# root.geometry("640x480+300+100") # 가로 * 세로 + x좌표 + y좌표
values = [str(i)+"일" for i in range(1,32)]
combobox = ttk.Combobox(root, height=5,... |
import cv2
import numpy as np
def main():
img=np.zeros((512,512,3),np.uint8)
img[np.where((img==[0,0,0]).all(axis=2))]=[0,255,255]
cv2.putText(img,"''THANK YOU''",(50,250),cv2.FONT_HERSHEY_SIMPLEX,2,(0,0,0),10)
cv2.imshow("word",img)
cv2.waitKey(0)
cv2.destroyWindow("word")
cv... |
import QuantLib as ql
import pandas as pd
import numpy as np
import scipy
from scipy import stats
import scipy.integrate as integrate
from numpy import exp, log, pi, sqrt, real
import plotly.graph_objects as go
import argparse
from scipy.optimize import minimize, Bounds, least_squares, root
import datetime
class Hesto... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Linear Algebra
import numpy as np
# Loading + Cleaning
import pandas as pd
pd.set_option('max_rows',5)
# Visualization
import seaborn as sns
# ML
from sklearn import linear_model
# In[ ]:
# We start by loading the data
train_d = pd.read_csv('../input/train.csv')
tr... |
from django.db import models
from django.contrib import admin
# Create your models here.
class Project(models.Model):
title = models.CharField(max_length=200, help_text="the title of this project, usually the same as the book, e.g. Schaum's German Grammar")
path = models.CharField(max_length=254, help_text="th... |
# Script to display your Project Euler friends and the problems they've solved, in order of difficulty rating
import sys
import mechanize
import time
from bs4 import BeautifulSoup
import xml.etree.ElementTree as ET
import operator
# Version if sign in, passing in the browser
# so I can use the same sign in for othe... |
#!/usr/bin/env python
# coding: utf-8
import os
import shutil
import csv
import cv2
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("datasetdir")
parser.add_argument("dagmfolder")
args = parser.parse_args()
datasetdir = args.datasetdir # replace this with the dataset direc... |
print('Criando um dicionario para armazenar os dados de um carro...')
carro = {
'marca' : 'Hyndai',
'modelo' : 'HB20',
'ano' : 2015,
'motorização' : 'Automático',
'acessórios' : [],
}
print('Dicionarios criado!', carro)
carro['ano'] = 2018
carro['modelo'] = 'Hb20 R-Spec'
print('Troquei de carr... |
import wpilib
from wpilib.doublesolenoid import DoubleSolenoid
class DualMotorGearbox():
def __init__(self, channel1, channel2):
self.motor1 = wpilib.VictorSP(channel1)
self.motor2 = wpilib.VictorSP(channel2)
self.isInverted = False
def pidWrite(self, output):
self.mot... |
import threading
import time
from environnement import *
def AddBotToEnv(env,V):
for bot,param in V.items():
# add here if new class are created
if bot == "mirai0":
Mirai=MiraiBot0(0)
env.AddNewBot(Mirai,param[1])
if bot == "mirai1":
Mirai=MiraiBot1(0)
... |
"""
#----------------------------------------------------------------------
# This file is part of "Soft Cluster EX"
# and covered by a BSD-style license, check
# LICENSE for detail.
#
# Author: Webber Huang
# Contact: xracz.fx@gmail.com
# Homepage: http://riggingtd.com
#------------------... |
# -*- coding: utf-8 -*-
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Column
from sqlalchemy.types import CHAR, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base=declarative_base()
class Product(Base):
__tablename__='Product'
id = ... |
'Nalanda',
'Patna Sahib',
'Pataliputra',
'Supaul ',
'Araria ',
'Kishanganj ',
'Katihar ',
'Purnia ',
'Madhepura ',
'Begusarai ',
'Khagaria ',
'Bhagalpur ',
'Banka ',
'Munger ',
'Valmiki Nagar ',
'Paschim Champaran',
'Purvi Champaran ',
'Sheohar ',
'Sitamarhi ',
'Madhubani ',
'Jhanjharpur ',
'Darbhanga ',
'Muzaffarpur '... |
# default separator (whitespace)
print("a b".rsplit())
#print(" a b ".rsplit(None))
#print(" a b ".rsplit(None, 1))
#print(" a b ".rsplit(None, 2))
#print(" a b c ".rsplit(None, 1))
#print(" a b c ".rsplit(None, 0))
#print(" a b c ".rsplit(None, -1))
# empty separator sh... |
__author__ = 'ravi'
info = dict(name='python', version='2.7', author='rossum')
"""
updating an element of the dict
"""
if 'version' in info:
info['version'] = '3.3'
"""
add a new element to the dict
"""
info['release'] = 'spherical cow'
print info.values()
print info.keys()
print info.items()
"""
for k in sorted... |
import hashlib
def hash(boxID, coin_name, public_key, private_key, webdev_key, amount,
period, amountUSD, userID, language, iframeID, orderID,
width, height):
user_format = 'MANUAL'
values_to_combine = [
str(boxID), coin_name, public_key, private_key, webdev_key,
... |
import sys
import site
import os
site.addsitedir(os.path.join(os.path.dirname(__file__), 'env/local/lib64/python3.4/site-packages/'))
sys.path.insert(0, '/var/www/html/ClosingPage')
activate_env = os.path.expanduser(os.path.join(os.path.dirname(__file__), 'env/bin/activate_this.py'))
exec(open(activate_env).read(), d... |
#-*- coding:utf-8 -*-
import urllib.request
letter = open('./letter.txt')
letter_str = letter.read()
letter.close()
print(letter_str)
connection = urllib.request.urlopen(
'https://activity.lagou.com/activityapi/basic/ifLogin')
data = connection.read()
connection.close()
print(data.decode("utf8"))
|
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
import pandas as pd
def knncls():
"""
knn预测用户签到位置
:return:None
"""
# 读取数据
data = pd.read_csv("./facebook-v-predicti... |
# coding=utf-8
def sum2(nums):
result = 0
if len(nums) == 0:
result = 0
elif len(nums) < 2:
result = nums[0]
else:
result = nums[0] + nums[1]
return result |
from django.shortcuts import render
from django.views.generic.detail import DetailView
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect, HttpResponse
from components.models import Component, Category
from datetime import datetime
def components_page(request):
context = {
... |
from rdkit import Chem
from rdkit.Chem.Draw import IPythonConsole
import numpy as np
import pandas as pd
def mol_adj_1(smiles_txt):
mol = Chem.MolFromSmiles(smiles_txt)
mol = Chem.AddHs(mol)
atoms = [atom.GetSymbol()for atom in mol.GetAtoms()]
adj_mt_1 = np.zeros((len(atoms),len(atoms)))
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 26 17:22:37 2014
@author: francescocorea
"""
import cPickle as pickle
import matplotlib.pyplot as plt
import numpy as np
with open('tokeniser_stats.pkl', 'rb') as pfile:
results = pickle.load(pfile)
#make a plot of the number of unique tokens in each method
vals ... |
from shared import exit_program, mqtt_client, mqtt_topic, send_message
import signal
import time
properties = {"LOCK_MOVE_RELEASE1": [["LOCK # cz1",
"car[#].cz1.lock"],
["MOVE # cz1",
"car[#].move.cz1"],
... |
from NetUtils import *
import time
sess = tf.Session()
x = tf.placeholder(tf.float32, shape=[None, 224,224,3], name = "x")
y = tf.placeholder(tf.float32, shape=[None], name = "y")
#-------------------------------------------------------------
h_conv = descriptorNet(x)
h_avPool = tf.layers.average_pooli... |
#coding:utf-8
'''
WebRequestUtils ---> WebRequest.py
date：2021-06-23
Anchor：Levon
'''
import requests
from LoggerUtils.Logger import Logger
class WebRequest():
def __init__(self):
self.session = requests.session()
self.logger = Logger()
self.result = ''
self.emsg = {
'... |
a=int(input())
for z in range(a):
b=int(input())
d=[]
for y in range(26):
d.append(0)
for y in range(10000):
c=input().split()
e=c[1]
for x in range(len(e)):
f=ord(e[x])-65
d[f]=d[f]+1
g=[]
for y in range(26):
if d[y]!=0:
... |
from aiogram import types
async def set_default_commands(dp):
await dp.bot.set_my_commands(
[
types.BotCommand("start", "Start bot🛫"),
types.BotCommand("help", "Get help💁"),
types.BotCommand("menu", "Get menu🛍"),
types.BotCommand("test", "Start testing🤯"... |
import re
'''
匹配边长的字符
.: 任意字符, 可以匹配任何单个字符
*: 任意个字符
+: 至少一个字符
{n}: 表示n个字符
{n,m}: 表示n-m个字符
精确匹配:
\d: 匹配一个数字
\w: 匹配一个数字或字母
[]: 表示范围
更精确的匹配:
[0-9a-zA-Z\_]可以匹配一个数字、字母或者下划线；
[0-9a-zA-Z\_]+可以匹配至少由一个数字、字母或者下划线组成的字符串，比如'a100'，'0_Z'，'Py3000'等等；
[a-zA-Z\_][0-9a-zA-Z\_]*可以匹配由字母或下划线开头，后接任意个由一个数字、字母或者下划线组成的字符串，
... |
# djangotemplates/crm/urls.py
from django.conf.urls import url
from . import views
from django.urls import path
from rest_framework import routers
from rest_framework.urlpatterns import format_suffix_patterns
from crm import views
urlpatterns = [
url(r'^$', views.HomePageView.as_view(), name='home'), # Notice the... |
def minimum_distance(array, n, x, y):
min_distance = 999999999
for i in range(n):
for j in range(i+1, n):
if (x==array[i] and y==array[j]) or (y==array[i] and x==array[j]) and min_distance>abs(i-j):
min_distance = abs(i-j)
return min_distance
arr = [3, 5, 4, 2, 6... |
import argparse
import timeit
from build_in_methods_iterators.lesson.profiler_examples.utils import \
(
list_comprehension,
generator_comprehension,
generator_loop,
loop_example
)
def wrapper(func, *args, **kwargs):
def wrapped():
return func(*args, **kwargs)
return wrapped
if __... |
class Solution1:
def threeSum(self, nums: List[int]) -> List[List[int]]:
n = len(nums)
nums.sort()
ans = list()
# 枚举 a
for first in range(n):
# 需要和上一次枚举的数不相同
if first > 0 and nums[first] == nums[first - 1]:
continue
# c 对应的... |
from django.urls import path, re_path
from . import views
app_name = 'manager'
urlpatterns = [
re_path(r'^/?$', views.login_manager, name='login_manager'),
re_path(r'^/logout/?$', views.logout_manager, name="logout_manager"),
re_path(r'^/add_manager/?$', views.add_manager, name='add_manager'),
re_path(r'^/add_doc... |
'''
requirements:
pie
height
radius
'''
#code end here BSCIT-01-0345/2018
height=int(input("Enter height of Cylinder "))
radius=int(input("Enter radius "))
pie=22/7
volume=pie*radius*radius*height
print("Volume is: ")
print (volume)
#code end here BSCIT-01-0345/2018 |
#
# @BEGIN LICENSE
#
# QCDB: quantum chemistry common driver and databases
#
# Copyright (c) 2007-2017 The QCDB Developers.
#
# The copyrights for code used from other parties are included in
# the corresponding files.
#
# This file is part of QCDB.
#
# QCDB is free software; you can redistribute it and/or modify
# it ... |
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