Sungju Kim goddoe

If you're on a Mac and have been wondering why /usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin keeps getting prepended to PATH when you run tmux, it's because of a utility called path_helper that's run from your /etc/profile file.

You can't easily persuade tmux (or rather, bash) not to source /etc/profile (for some reason tmux always runs as a login shell, which means /etc/profile will be read), but you can make sure that the effects of path_helper don't screw with your PATH.

The trick is to make sure that PATH is empty before path_helper runs. In my ~/.bash_profile file or ~/.zshrc I have this:

if [ -f /etc/profile ]; then
    PATH=""
 source /etc/profile

(reference: http://www.kwangsiklee.com/2018/05/카카오-pypi-mirror-저장소로-pip-설치-속도-높이기/)

카카오 PyPI 미러 적용

vim ~/.pip/pip.conf

[global]

	plt.rc('font', family='serif')
	plt.rc('xtick', labelsize='x-large')
	plt.rc('ytick', labelsize='x-large')

	# plt.rc('text', usetex=True)
	plt.rc('axes', labelsize='x-large')

	fig = plt.figure(figsize=(6, 6))
	ax = fig.add_subplot(1, 1, 1)

	import torch
	import torch.nn as nn

	class SelfAttention(nn.Module):

	def __init__(self, input_dim, output_dim, dropout=0.1):
	super(SelfAttention, self).__init__()

	self.q = nn.Linear(input_dim, output_dim)
	self.k = nn.Linear(input_dim, output_dim)

	import torch
	import torch.nn as nn

	class SelfAttention(nn.Module):

	def __init__(self, input_dim, output_dim, dropout=0.1):
	super(SelfAttention, self).__init__()
	self.q = nn.Linear(input_dim, output_dim)
	self.k = nn.Linear(input_dim, output_dim)
	self.v = nn.Linear(input_dim, output_dim)

	# Reference : https://discuss.pytorch.org/t/convert-int-into-one-hot-format/507/3
	# author : albanD

	import torch

	batch_size = 5
	nb_digits = 10
	# Dummy input that HAS to be 2D for the scatter (you can use view(-1,1) if needed)
	y = torch.LongTensor(batch_size,1).random_() % nb_digits
	# One hot encoding buffer that you create out of the loop and just keep reusing

	# Reference : https://stackoverflow.com/questions/3461869/plot-a-plane-based-on-a-normal-vector-and-a-point-in-matlab-or-matplotlib/23006541
	# author : Simon Streicher, Alexey Grigorev

	import numpy as np
	import matplotlib.pyplot as plt
	from mpl_toolkits.mplot3d import Axes3D

	point = np.array([1, 2, 3])
	normal = np.array([1, 1, 2])

	import argparse

	from torch.utils.tensorboard import SummaryWriter
	import psutil
	import time


	def bytesto(bytes, to, bsize=1024):
	"""convert bytes to megabytes, etc.
	sample code:

	from gtts import gTTS
	from pygame import mixer

	import mutagen.mp3


	while True:
	query = input("query: ")
	tts = gTTS(text=query, lang='ko')
	tts.save("./out.mp3")

	import requests

	url = 'http://www.ichangtou.com/#company:data_000008.html'
	headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}

	response = requests.get(url, headers=headers)
	print(response.content)