GithubHelp home page GithubHelp logo

nvim's Introduction

Minhas configs

Customizacoes por projeto

Minha configuração tem o expr habilitado, então um arquivo .nvim.lua na raiz do projeto pode ser usado para adicionar configurações adicionais.

Adicionar linters, formatters e outros.

Essa configuração utiliza none-ls, substituto do null-ls. Esse pacote da acesso há varios formatadores, linters, alguns lsps até.

A configutação dele é feita atraves da função setup do arquivo setup_linters_and_formatters dentro do arquivo .nvim.lua na raiz do projeto.

Exemplo de uso:

local slf = require "actions.setup_linters_and_formatters"

local linters = slf.linters() -- helper que busca os linters
local formatters = slf.formatters() -- helper que buscar os formatadores

slf.setup({
    linters.phpcs.with {
        command = "vendor/bin/phpcs"
    },
    formatters.pint.with {
        command = "vendor/bin/pint"
    },
    formatters.blade_formatter,
})

A configuração de cada linter pode ser vista na doc do none-ls.

nvim's People

Contributors

andresmeireles avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.