help me test my new plugin lsp-zero.nvim

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • lsp-zero.nvim

    A starting point to setup some lsp related features in neovim.

  • You can also write your feedback in github: discuss: feedback.

  • minpac

    A minimal package manager for Vim 8 (and Neovim)

  • vim.opt.runtimepath:remove(vim.fn.expand('~/.config/nvim')) vim.opt.packpath:remove(vim.fn.expand('~/.local/share/nvim/site')) vim.opt.runtimepath:append(vim.fn.expand('/tmp/nvim-config')) vim.opt.packpath:append(vim.fn.expand('/tmp/nvim-config')) -- Install minpac local install_path = '/tmp/nvim-config/pack/minpac/opt/minpac' local install_plugins = false if vim.fn.empty(vim.fn.glob(install_path)) > 0 then vim.cmd('!git clone https://github.com/k-takata/minpac ' .. install_path) install_plugins = true end function PackInit() vim.cmd('packadd minpac') vim.call('minpac#init', {dir = '/tmp/nvim-config'}) local Plug = vim.fn['minpac#add'] -- Plugin manager Plug('k-takata/minpac', {type = 'opt'}) -- Colorscheme Plug 'mjlbach/onedark.nvim' -- LSP Support Plug 'neovim/nvim-lspconfig' Plug 'williamboman/nvim-lsp-installer' -- Autocompletion Plug 'hrsh7th/nvim-cmp' Plug 'hrsh7th/cmp-buffer' Plug 'hrsh7th/cmp-path' Plug 'saadparwaiz1/cmp_luasnip' Plug 'hrsh7th/cmp-nvim-lsp' Plug 'hrsh7th/cmp-nvim-lua' -- Snippets Plug 'L3MON4D3/LuaSnip' Plug 'rafamadriz/friendly-snippets' -- lsp stuff Plug 'VonHeikemen/lsp-zero.nvim' end pcall(vim.cmd, 'colorscheme onedark') vim.cmd [[ command! PackUpdate lua PackInit(); vim.call('minpac#update') command! PackClean lua PackInit(); vim.call('minpac#clean') command! PackStatus lua PackInit(); vim.call('minpac#status') ]] if install_plugins then vim.cmd('PackUpdate') end local ok, lsp = pcall(require, 'lsp-zero') if ok then lsp.preset('recommended') lsp.setup() end

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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