jaeyson

imgproxy vs alternatives benchmark

Setup

• c5.xlarge AWS instance: 4 CPUs, 8 GB RAM
• Ubuntu 18.04
• Go 1.12
• Python 2.7
• Vips 8.7.4

jaeyson

Testimonies

CL's compiler

The thing in CL I miss most doing Clojure as my day job? CL's compiler. I like having a compiler tell me at compile time about the mistakes I've made. Bogus arguments. Unreachable code because of unhandled exceptions, and so on. CL saves me round after round of bugs that in clojure aren't found until you run the code. If you test well, it's found when testing, if you don't it's found in production. "Clojure compiler" almost demands air quotes.

CL's optional but oh-so-useful model of type declarations is also infinitely more useful (to me) than Clojure's use of "spec", and instrumentation that happens only at test time because of the cost. Depending on the OPTIMIZE declarations, other type defs are a floor wax and dessert topping. Want checks for argument types? Lower optimizations. Want most efficient machine code? High optimizations.

/u/Decweb, March 2023 https://www.reddit.com/r/lisp/comments/11ttnxk/the_rise_fall_of_lisp_too_good_for_the_rest_of/jczpysp/

jaeyson

action :analyze_sentiment, :atom do
  constraints one_of: [:positive, :negative]

  description """
  Analyzes the sentiment of a given piece of text to determine if it is overall positive or negative.
  """

  argument :text, :string do
    allow_nil? false
    description "The text for analysis"

jaeyson

defmodule Task do
  defp await_one(tasks, timeout \\ 5_000) when is_list(tasks) do
    awaiting =
      Map.new(tasks, fn %Task{ref: ref, owner: owner} = task ->
        if owner != self() do
          raise ArgumentError, invalid_owner_error(task)
        end

        {ref, true}
      end)

jaeyson

Reactor Demo

Mix.install([
  {:reactor, "~> 0.15.5"},
  {:kino, "~> 0.16.0"},
  {:nanoid, "~> 2.1"}
])