sailfish009

pscp -P <port_number> -i <path_to_ppk_key> <user_name>@<server_url>:<path_to_remote_file> <path_to_local_file>

sailfish009

렉서스, 인피니티, 혼다, 도요타, 캐논, 니콘, 우르오스 남성화장품, 아사히맥주,기린맥주, 시세이도 염색약, 화장품, DHC, 키스미, 케이트, 안나수이, SK2, 오르비스 화장품, 구몬 학습지, 야쿠르트, 오로나민씨, 포카리스웨트, 바디피트 생리대, 소피한결 생리대, 아식스 스포츠브랜드, 미즈노 축구화, 데쌍트, 유니클로 옷, 르꼬끄, 무인양품, 에고이스트, 나이스크랍, OZOC옷, 아이깨끗해 세정제, 비트 세제, 참그린 세제, 닥터세닥, 시스테마 치약, 토레타 음료, 조지아 커피, 린나이 보일러, ABC마트 

sailfish009

class Ralamb(Optimizer):

    def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0):
        defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay)
        self.buffer = [[None, None, None] for ind in range(10)]
        super(Ralamb, self).__init__(params, defaults)

    def __setstate__(self, state):
        super(Ralamb, self).__setstate__(state)

sailfish009

$ sudo ufw status verbose
Status: active
Logging: on (low)
Default: deny (incoming), deny (outgoing), disabled (routed)
New profiles: skip

To                         Action      From
--                         ------      ----
53                         ALLOW OUT   Anywhere                  
80/tcp                     ALLOW OUT   Anywhere                  

sailfish009

from typing import Union

import torch
import numpy as np


def percentile(t: torch.tensor, q: float) -> Union[int, float]:
    """
    Return the ``q``-th percentile of the flattened input tensor's data.
    

sailfish009

http://cryto.net/~joepie91/blog/2016/06/13/stop-using-jwt-for-sessions/

sailfish009

import xmltodict
import pandas as pd

with open("full_database.xml") as db:
    doc = xmltodict.parse(db.read())

values = []
for item in doc['drugbank']['drug']:
    logp = None
    try:

sailfish009

import os, time, sys, subprocess

if len(sys.argv) == 2:
    time.sleep(5)
    print 'track end'
    if sys.platform == 'darwin':
	    subprocess.Popen(['say', 'hello'])
else:
    print 'main begin'
    subprocess.Popen(['python', os.path.realpath(__file__), '0'], close_fds=True)

sailfish009

 sudo apt install docker.io

sailfish009

import os
import sys
import traceback
from functools import wraps
from multiprocessing import Process, Queue


def processify(func):
    '''Decorator to run a function as a process.
    Be sure that every argument and the return value