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EMOJI CHEAT SHEET

Emoji emoticons listed on this page are supported on Campfire, GitHub, Basecamp, Redbooth, Trac, Flowdock, Sprint.ly, Kandan, Textbox.io, Kippt, Redmine, JabbR, Trello, Hall, plug.dj, Qiita, Zendesk, Ruby China, Grove, Idobata, NodeBB Forums, Slack, Streamup, OrganisedMinds, Hackpad, Cryptbin, Kato, Reportedly, Cheerful Ghost, IRCCloud, Dashcube, MyVideoGameList, Subrosa, Sococo, Quip, And Bang, Bonusly, Discourse, Ello, and Twemoji Awesome. However some of the emoji codes are not super easy to remember, so here is a little cheat sheet. ✈ Got flash enabled? Click the emoji code and it will be copied to your clipboard.

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Using `res.config.settings` in Odoo

The res.config.settings model is transient and is not saved to the database. Any fields you define on this model must be saved to the database somewhere explicitly. There are a few options.

References

Instalación y configuracion de Jest + React Testing Library

En proyectos de React + Vite

Instalaciones:

yarn add --dev jest babel-jest @babel/preset-env @babel/preset-react 
yarn add --dev @testing-library/react @types/jest jest-environment-jsdom

Opcional: Si usamos Fetch API en el proyecto:

Note

For every body who using Win10/11 with new Office that you need to know:

to active Office without crack, just follow https://github.com/WindowsAddict/IDM-Activation-Script,

you wiil only need to run

irm https://massgrave.dev/ias | iex

An ultimate guide to Postfix + Dovecot IMAP server with complete SPF, DKIM and DMARC support and additional instructions for a multi-domain setup

In this guide, domain.com will be your root domain and mail.domain.com will be the hostname of your mail server

An ultimate guide to Postfix + Dovecot IMAP server with complete SPF, DKIM and DMARC support and additional instructions for a multi-domain setup
0x05 Install and configure Postfix

Draft Article: Harnessing the Power of 1 Million Tokens with Hypergraph Prompting

Introduction:

Building prompts for one million token context windows necessitates a complete reimagining of how prompts are created, signaling a pivotal transformation in artificial intelligence with the introduction of Google's Gemini 1.5. This groundbreaking advancement, featuring an extensive context window of 1 million tokens, challenges us to devise innovative approaches like hypergraph prompting. This method intricately weaves together the spatial, temporal, relational, and executional dimensions of data, creating a visual and logical fabric of connections that mirrors the interconnected spirals of a DNA strand, to navigate and effectively leverage this vast informational expanse.

Understanding the Scale of a 1 Million Token Context Window:

Imagine a context window of 1 million tokens as a vast library containing hundreds of books, thousands of pages, or hours of multimedia content, all accessible in a sing

	// bitset_iter.h v1.1.0
	// Copyright 2019, Diego Dagum
	//
	// Permission is hereby granted, free of charge, to any person obtaining a copy
	// of this software and associated documentation files (the "Software"), to deal
	// in the Software without restriction, including without limitation the rights
	// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	// copies of the Software, and to permit persons to whom the Software is
	// furnished to do so, subject to the following conditions:
	//

	# Exponential backoff in Ruby
	begin
	make_request
	rescue RequestError => e
	if retries <= max_retries
	retries += 1
	sleep 2 ** retries
	retry
	else
	raise "Timeout: #{e.message}"

	#
	# MIT License
	#
	# To use, assign keys to the "focus_most_recent_tab_closer" command, e.g.
	# {"keys": ["ctrl+k", "ctrl+w"], "command": "focus_most_recent_tab_closer"},
	#

	import sublime
	import sublime_plugin
	import time

	#imports
	from PIL import Image
	import numpy
	import pytoshop
	from pytoshop.user import nested_layers
	from pytoshop import enums
	from pytoshop.image_data import ImageData

	#Convert Pillow image to pyto layer (not fool proof by anymeans)
	def pillow_image_to_pyto_image(name, image, x, y, visible, opacity, group_id, blend_mode, metadata, layer_color, color_mode, width = 0, height = 0):