Here is the best setup (I think so :D) for Keychron + Linux
Keychron Keyboards on Linux use the hid_apple driver (even in Windows/Android mode), both in Bluetooth and Wired modes.
By default, this driver uses the F-keys as multimedia shortcuts and you have to press Fn + the key to get the usual F1 through F12 keys.
In order to change this, you need to change the fnmode parameter for the hid_apple kernel module.
Here's some documentation on it, but a quick summary can be found below:
| import scala.math.sqrt | |
| import scala.math.pow | |
| object Bhaskara { | |
| def bhaskara(a: Int, b: Int, c: Int): List[Double] = { | |
| def delta(a: Int, b: Int, c: Int): Int = (pow(b, 2) - 4 * a * c).toInt | |
| val delta_result = delta(a, b, c)z | |
| val result = delta_result match { |
| (defn delta [a b c] (- (Math/pow b 2) (* 4 a c ) ) ) | |
| (defn r1 [a b c] (/ (+ (* b -1) (Math/sqrt (delta a b c))) (* 2 a))) | |
| (defn r2 [a b c] (/ (- (* b -1) (Math/sqrt (delta a b c))) (* 2 a))) | |
| (defn baskara [a b c] | |
| (if (> (delta a b c) 0) | |
| [(r1 a b c) (r2 a b c)] | |
| (if (= (delta a b c) 0.0) | |
| [(r1 a b c)] | |
| "Delta is negative" | |
| ) |
| [options] | |
| #allow_bold = true | |
| #audible_bell = false | |
| #bold_is_bright = true | |
| #clickable_url = true | |
| #dynamic_title = true | |
| # font = Monospace 9 | |
| font = Droid Sans Mono 11 | |
| #fullscreen = true | |
| #icon_name = terminal |
| call plug#begin() | |
| Plug 'Xuyuanp/nerdtree-git-plugin' | |
| Plug 'tpope/vim-surround' | |
| Plug 'tpope/vim-commentary' | |
| Plug 'tpope/vim-fugitive' | |
| Plug 'mileszs/ack.vim' | |
| Plug 'terryma/vim-multiple-cursors' | |
| Plug 'vim-airline/vim-airline' | |
| Plug 'vim-airline/vim-airline-themes' | |
| " Plug 'neomake/neomake' |
| # Enable Powerlevel10k instant prompt. Should stay close to the top of ~/.zshrc. | |
| # Initialization code that may require console input (password prompts, [y/n] | |
| # confirmations, etc.) must go above this block; everything else may go below. | |
| if [[ -r "${XDG_CACHE_HOME:-$HOME/.cache}/p10k-instant-prompt-${(%):-%n}.zsh" ]]; then | |
| source "${XDG_CACHE_HOME:-$HOME/.cache}/p10k-instant-prompt-${(%):-%n}.zsh" | |
| fi | |
| #if you come from bash you might have to change your $PATH. | |
| # export PATH=$HOME/bin:/usr/local/bin:$PATH |
| # 0 is too far from ` ;) | |
| set -g base-index 1 | |
| # Automatically set window title | |
| set-window-option -g automatic-rename on | |
| set-option -g set-titles on | |
| #set -g default-terminal screen-256color | |
| set -g status-keys vi | |
| set -g history-limit 10000 |
Este é um desafio elaborado para que a Nama consiga avaliar seus conhecimentos tanto em Machine Learning, como implementação prática desses conhecimentos. Entendemos que além de modelar o problema, o profissional de Machine Learning que procuramos deve ter um bom background de desenvolvimento, envolvendo boas práticas, para que o conhecimento e valor gerado no seu trabalho, possa ser aproveitado no futuro.
O Desafio
| #! /usr/bin/env python | |
| def setup_environment(): | |
| pathname = os.path.dirname(sys.argv[0]) | |
| sys.path.append(os.path.abspath(pathname)) | |
| sys.path.append(os.path.normpath(os.path.join(os.path.abspath(pathname), '../'))) | |
| os.environ['DJANGO_SETTINGS_MODULE'] = 'myapp.settings' | |
| setup_environment() |