Fernando Blat ferblape

DNI Electrónico en Mac

El lector que voy a usar es el SVEON SCT011M, que es el mas barato que encontré en tienda física y tiene un precio razonable en Amazon: https://www.amazon.es/dp/B072LTLZW3/

Estos son los pasos que he seguido:

Descargar Firefox (he probado con la ultima version, 86.0.1)
Enchufar el lector, sin el DNI (no se si es importante hacerlo aquí o se puede hacer luego, pero mejor no nos arriesgamos, yo lo hice aquí y me ha funcionado)
Descargar libpkcs11 para Intel o para Apple Silicon. Estos enlaces estan en la web oficial del DNI Electrónico por si quieres ver si hay alguna versión más reciente.
Instalar el paquete (los ficheros se copiaran en /Library/Libpkcs11-dnie, y en esa misma carpeta se instalara una app para desinstalarlo en e

Faster Rails tests

Feedback loop speed in one of the biggest contributing factors to overall development time. The faster you get results, the faster you can move on to other things. A fast enough test suite is therefore critical to teams' success, and is worth investing some time at the beginning to save in the long run.

Below is a list of techniques for speeding up a Rails test suite. It is not comprehensive, but should definitely provide some quick wins. This list of techniques assumes you're using minitest, but most everything should translate over to rspec by simply replacing test/test_helper.rb with spec/spec_helper.rb.

Lead with data
bcrypt
bootsnap
Cache Time::utc calls

1 - Download the RDS certificates (root plus region-specific intermediate ones) bundle:

wget -O config/rds-combined-ca-bundle.pem https://s3.amazonaws.com/rds-downloads/rds-combined-ca-bundle.pem

2 - Add config/rds-combined-ca-bundle.pem to the repository and redeploy to Heroku.

3 - Update the DATABASE_URL env var:

How to create small, unique tokens in Ruby

That is is basically a "fork" of blog article i'm constantly returning to. It seems that the blog is down:

My choice: Dave Bass’s rand().to_s() trick

Dave Bass proposed this which I picked up for my implementation (here for an 8-chars token):

No soy un experto crítico gastronómico pero estos sitios me gustan:

Alemanes

Gugelhof (Alsaciano) https://foursquare.com/v/gugelhof/4adcda74f964a5207f4521e3
Max & Moritz https://foursquare.com/v/wirtshaus-max-und-moritz/4af30e0ff964a52028ea21e3
Imbiss 204 https://foursquare.com/v/imbiss-204/4be4465a2468c928ba85fe42
Der Butt (Pescado, está en Potsdam) https://foursquare.com/v/der-butt/4e1705b6c65be9c55e8a79f1
Schwarzwaldstuben https://foursquare.com/v/schwarzwaldstuben/4adcda72f964a5204b4521e3
Die Henne https://foursquare.com/v/die-henne/4adcda77f964a520254621e3

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	make clean
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

	---
	include:
	- ".solargraph_definitions.rb"
	- "app/*/.rb"
	- "config/*/.rb"
	- "lib/*/.rb"
	exclude:
	- test/*/
	- vendor/*/
	- ".bundle/*/"

	"""
	Estimate GPT-3 costs!
	Author: Dylan
	"""

	import math

	class GPT3CostsCalculator:
	def __init__(self,
	gpt3_model_version,

	class TestCase < ActiveSupport::TestCase
	def setup
	super
	DatabaseCleaner.start
	@queries = []

	ActiveSupport::Notifications.subscribe('sql.active_record') do \|_, _, _, _, payload\|
	@queries << payload[:sql] unless payload[:name].in? %w[CACHE SCHEMA]
	end
	end

	from math import *

	# Cumulative standard normal distribution
	def cdf(x):
	return (1.0 + erf(x / sqrt(2.0))) / 2.0

	# Intermediate calculation used by both the Bjerksund Stensland 1993 and 2002 approximations
	def phi(s, t, gamma, h, i, r, a, v):
	lambda1 = (-r + gamma * a + 0.5 * gamma * (gamma - 1) * v*2) t
	dd = -(log(s / h) + (a + (gamma - 0.5) * v*2) t) / (v * sqrt(t))