The following guide will show you how to connect a local model served with MLX to OpenCode for local coding.
1. Install OpenCode
curl -fsSL https://opencode.ai/install | bash
inspired by a friend’s fledgling language design and motivated by the JeanHeyd Meneide RustConf Fiasco™ and improving the story for compile-time introspection, i decided i needed a place to spew the last year’s musings on variadic generics in Rust in one mighty, less-than-understandable catharsis.
i think somewhere in here is a considered and reasonable design, so that’s neat!
perhaps i’ll make this an RFC one day. probably not. you have my express permission to do that yourself.
this nugget of language jargon encapsulates the idea that we might want to bind to an arbitrarily large list of generic parameters, all at once. there are many reasons to want to do this:
bevy_ecs's Bundle trait](https://github.com/bevyengine/bevy/blob/87f7d013c0d4f45a93a4c29e5d48237f4b512ca2/crates/bevy_ecs/src/bundle.| import { buildData } from "./build-data"; | |
| <let/data = []/> | |
| <let/selected = null/> | |
| <div class="jumbotron"> | |
| <div class="row"> | |
| <div class="col-md-6"> | |
| <h1>Marko 6 (keyed)</h1> |
| import asyncio | |
| from typing import Coroutine, List, Sequence | |
| def _limit_concurrency( | |
| coroutines: Sequence[Coroutine], concurrency: int | |
| ) -> List[Coroutine]: | |
| """Decorate coroutines to limit concurrency. | |
| Enforces a limit on the number of coroutines that can run concurrently in higher |
| #!/bin/sh | |
| echo Install all AppStore Apps at first! | |
| read -p "Press any key to continue... " -n1 -s | |
| echo '\n' | |
| echo Installing Homebrew... | |
| /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" | |
| echo Installing Brew favorites... | |
| brew tap homebrew/cask-fonts |
| const dfd = require("danfojs-node") | |
| const tf = require("@tensorflow/tfjs-node") | |
| async function load_process_data() { | |
| let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv") | |
| //A feature engineering: Extract all titles from names columns | |
| let title = df['Name'].apply((x) => { return x.split(".")[0] }).values | |
| //replace in df | |
| df.addColumn({ column: "Name", value: title }) |
| """TensorFlow 2.0 implementation of vanilla Autoencoder.""" | |
| import numpy as np | |
| import tensorflow as tf | |
| __author__ = "Abien Fred Agarap" | |
| np.random.seed(1) | |
| tf.random.set_seed(1) | |
| batch_size = 128 | |
| epochs = 10 |
| ######################## | |
| # UUID for SQLite hack # | |
| ######################## | |
| from sqlalchemy.types import TypeDecorator, CHAR | |
| from sqlalchemy.dialects.postgresql import UUID | |
| import uuid | |
| class GUID(TypeDecorator): |
| # Download installers | |
| mkdir ~/Downloads/nvidia | |
| cd ~/Downloads/nvidia | |
| wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run | |
| wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.59/NVIDIA-Linux-x86_64-384.59.run | |
| sudo chmod +x NVIDIA-Linux-x86_64-384.59.run | |
| sudo chmod +x cuda_8.0.61_375.26_linux-run | |
| ./cuda_8.0.61_375.26_linux-run -extract=~/Downloads/nvidia/ | |
| # Uninstall old stuff | |
| sudo apt-get --purge remove nvidia-* |
| /// given this uncompilable code | |
| pub fn main() { | |
| let vec0 = Vec::new(); | |
| let mut vec1 = fill_vec(vec0); | |
| // Do not change the following line! | |
| println!("{} has length {} content `{:?}`", "vec0", vec0.len(), vec0); | |
| vec1.push(88); |