sigma-andex

type Newtype<S extends string, T extends any> = T & { readonly symbol: S}
type Currency = Newtype<'currency', number>

const wrap = <S extends string, T>(input: T): Newtype<S,T> => input as unknown as Newtype<S,T>
const unwrap = <S extends string, T>(input: Newtype<S,T>):T => input satisfies T
const over = <S extends string, T>(nt: Newtype<S,T>, f: (t:T) => T):Newtype<S,T> => {
    const t: T = unwrap(nt)
    const ft: T = f(t)
    return wrap(ft)}
const eur: Currency = wrap(1)

sigma-andex

HMR for verdaccio plugin development

Verdaccio doesn't automatically reload plugins when files change, making plugin development a bit painful. So here is my approach for a hot module reload in verdaccio, so that verdaccio restarts whenever your plugin changes.

1. Create a project folder and a subfolder plugins. Bootstrap the plugin in that folder using the generator so that you end up with something like plugin/verdaccio-my-plugi/ folder structure.

2. First, let's add a watch mode for your plugin (if you don't have it yet) by adding the following script to you package.json: In plugin/verdaccio-my-plugin/package.json

  "scripts": {

sigma-andex

module Main where

import Prelude

import Effect (Effect)
import Effect.Class.Console (logShow)
import Effect.Console (log)
import Record as Record

mergeFlipped = flip Record.merge

sigma-andex

module Main where

import Prelude hiding ((/))

import Data.Either (Either(..))
import Data.Generic.Rep (class Generic)
import Data.Maybe (Maybe(..))
import Data.Tuple (Tuple(..))
import Effect.Console (log)
import HTTPure (ServerM, found', headers, notFound, ok, serve)

sigma-andex

(() => {
  // output/Data.Unit/foreign.js
  var unit = {};

  // output/Control.Lazy/index.js
  var defer = function(dict) {
    return dict.defer;
  };

  // output/Data.Bounded/foreign.js

sigma-andex

Build tensorflow 2.7.0

bazel build --compilation_mode=opt --jobs=4 --config=macos_arm64 tensorflow:libtensorflow.so
bazel build --compilation_mode=opt --jobs=4 --config=macos_arm64 tensorflow/tools/lib_package:libtensorflow

Export variables

export TF_VERSION=v2.7.0
export PKG_CONFIG_PATH=$HOME/.pkg-config

sigma-andex

"use strict"

exports.x = 15
exports.y = 16

const numberSyntax = 15
exports.numberSyntax = numberSyntax
const stringSyntax = 16
exports.stringSyntax = stringSyntax