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Bot Neural Network System Documentation

Overview

The GEMP-LOTR bot system uses machine learning to make gameplay decisions. While referred to as "neural nets" in conversation, the implementation uses Logistic Regression classifiers from the SMILE (Statistical Machine Intelligence and Learning Engine) library rather than deep neural networks.

Architecture

Technology Stack

• ML Library: SMILE 2.6.0 (com.github.haifengl:smile-core)

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;; -*- mode: emacs-lisp; lexical-binding: t -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Layer configuration:
This function should only modify configuration layer settings."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory
   ;; `+distribution'. For now available distributions are `spacemacs-base'

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From appendix A of Accelerate: Building and Scaling High Performance Organisations Nicole Forsgren, Jez Humble, Gene Kim

CAPABILITIES TO DRIVE IMPROVEMENT

Our research has uncovered 24 key capabilities that drive improvements in software delivery performance in a statistically significant way. Our book details these findings. This appendix provides you with a handy list of these capabilities, each with a pointer to the chapter that covers it in detail (see also Figure A.1).

We have classified these capabilities into five categories:

• Continuous delivery
• Architecture

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# frozen_string_literal: true

# problem code from Graceful.dev: https://graceful.dev/courses/tapastry/modules/2019/topic/full-utilization/
$tick = 0

def work(seconds)
  $tick += seconds
end

def log(message)

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Railsconf 2022 CFP: LSP and Solargraph

Title

Autocomplete is for Ruby too!

Abstract

A concise, engaging description for the public program. Limited to 600 characters.

Do you have editor-envy when you witness other programmers using fancy IDE features like go-to-definition or auto-complete? Perhaps you've only witnessed this with other languages - maybe those with static typing - but that's not how it has to be.

Powerful - albeit sometimes obscure - open source tools with all these features are available for Ruby. Come hear more! I'll explain the building blocks of code intellisense features; something called Language Server Protocol; a Ruby language server called Solargraph; the solargraph-rails gem; and how you can get involved to make them even better.

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Troubleshooting local instance of kafka

Command line kafka utilities

If your rails server or consumer cannot connect to Kafka locally you can try using the command line utilities included with kafka to diagnose whether your kafka is set up properly:

Create a topic:

⚡  kafka-topics --create --partitions 1 --replication-factor 1 --topic new-test-topic --bootstrap-server 127.0.0.1:9092

Created topic new-test-topic.

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import ActionCableController from 'controllers/action_cable_controller';

console.log("loading delivery orchestration controller.js");

const statusToListTargetMap = {
  pending: 'pendingList',
  customer_arrived: 'pendingList',
  collecting: 'collectingList',
  out_for_delivery: 'finishedList',
  delivered: 'finishedList',

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# frozen_string_literal: true

class ProductsController < ApplicationController
  include ProductWithQuoteFormParams

  before_action :redirect_admins
  before_action :set_organization
  before_action :set_product,
                only: %i[edit update destroy make_public make_private] # TODO why the last two actions?

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## Current ordering problems:

• the most complicated parts of the system are coupled to orders being placed
  • e.g. order -> payment completed -> branch assignment -> driver assignment
  • “everything initiated by an order” is hard to avoid in standard web apps where user input (requests) initiate all activity.
  • This chain is too long, it’s hard to reason about
• ordering features fight for resources
  • restaurant dashboard vs driver assignment vs order list vs driver list
    • all have different purposes with different requirements in terms of:
      • how often they need to be updated
      • what data is queried

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namespace :solargraph do
  task generate: :environment do
    # Add the folder you choose in your config/application.rb
    # example:
    # config.autoload_paths << Rails.root.join('app/solargraph')
    gen_directory = Rails.root.join("config", "yard")

    # run the script as a rails runner:
    # jundle exec rails r ./bin/generate_solar_models.rb