Smerity’s gists

Smerity / version.bad

Created May 17, 2020 00:31

Difference between high performing and low performing autovectorization

	[0m [0m[1m[38;5;9mfn main() {
	[0m [0m[1m[38;5;12mpush [0m rbp
	[0m [0m[1m[38;5;12mmov [0m rbp, rsp
	[0m [0m[1m[38;5;12mpush [0m r15
	[0m [0m[1m[38;5;12mpush [0m r14
	[0m [0m[1m[38;5;12mpush [0m r12
	[0m [0m[1m[38;5;12mpush [0m rbx
	[0m [0m[1m[38;5;12msub [0m rsp, 3344
	[0m [0m[1m[38;5;9mlet mut rng = rand::thread_rng();
	[0m [0m[1m[38;5;12mcall [0m[1m[38;5;9m rand::rngs::thread::thread_rng

Smerity / send_message

Created January 10, 2019 23:18

Send a message using the Slack postMessage API

	import requests

	AUTH_TOKEN = 'xoxb-...'

	channel = '#locked-out'
	USER_ID = 'UDAS0J04S' # A user ID obtained by `list_members.py`
	text = f'<@{USER_ID}>, Smerity locked himself out'

	params = {
	'token': AUTH_TOKEN,

Smerity / list_members.py

Created January 10, 2019 10:27

List members of a bot's Slack

	import pprint
	import requests

	AUTH_TOKEN = 'xoxb-...'

	params = {'token': AUTH_TOKEN}

	r = requests.post('https://slack.com/api/users.list', params=params)

	for member in r.json()['members']:

Smerity / post_process.py

Created November 19, 2017 20:55

WikiText: Python 2 post processing used on Moses tokenized input

	# encoding=utf8
	import sys

	reload(sys)
	sys.setdefaultencoding('utf8')

	import re

	number_match_re = re.compile(r'^([0-9]+[,.]?)+$')
	number_split_re = re.compile(r'([,.])')

Smerity / failed_logins

Created June 6, 2017 22:09

List of failed SSH logins produced by `egrep -o "invalid user ([^ ]+?) " /var/log/auth.log | cut -d ' ' -f 3 | sort | uniq -c | sort -nk 1`

	1 .+?
	1 [^
	2 0000
	2 010101
	2 1111
	2 1234
	2 12345
	2 666666
	2 adm
	2 anna

Smerity / cupy-pytorch-ptx.py

Created May 21, 2017 23:21 — forked from szagoruyko/cupy-pytorch-ptx.py

CuPy example for PyTorch updated to support Python 3

	import torch
	from cupy.cuda import function
	from pynvrtc.compiler import Program
	from collections import namedtuple

	a = torch.randn(1,4,4).cuda()
	b = torch.zeros(a.size()).cuda()

	kernel = '''
	extern "C"

Smerity / count_wikitext.py

Created February 9, 2017 23:00

Count the number of unique tokens in WikiText-2 and/or WikiText-103

	vocab = set()

	for i, line in enumerate(open('wiki.train.tokens')):
	words = [x for x in line.split(' ') if x]
	[vocab.add(word) for word in words]

	if i < 10: print(words)

	print('Vocab size:', len(vocab))

Smerity / cartpole.py

Last active May 26, 2017 13:47

Script for Cartpole using policy gradient via Chainer, two layer MLP, dropout, and rejection sampling of historical memories

	''' Script for Cartpole using policy gradient via Chainer, two layer MLP, dropout, and rejection sampling of historical memories '''

	import gym

	import numpy as np

	import chainer
	from chainer import optimizers
	from chainer import ChainList, Variable
	import chainer.functions as F

Smerity / buggy_cartpole.py

Last active September 2, 2016 00:09

Buggy (but preserved for posterity) script for Cartpole using policy gradient via Chainer, two layer MLP, dropout, and vaguely rejection sampling of historical memories

	""" Quick script for Cartpole using policy gradient via Chainer, two layer MLP, dropout, and vaguely rejection sampling of historical memories """

	import gym

	import numpy as np

	import chainer
	from chainer import optimizers
	from chainer import ChainList, Variable
	import chainer.functions as F

Smerity / time_dist.py

Last active September 20, 2015 01:22

Test the difference between Dense and TimeDistributedDense in Keras

	from __future__ import print_function
	import numpy as np
	np.random.seed(1337)
	import sys

	from keras.utils.test_utils import get_test_data
	from keras.models import Sequential
	from keras.layers.core import Dense, TimeDistributedDense
	from keras.layers.recurrent import GRU

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