seanhandley

#!/usr/bin/env python3
"""
multimodal_index.py — Client-side multimodal indexing for Elasticsearch 9.4.x

Replicates what semantic_text + automatic multimodal support does in 9.5+:
detects file type, calls the EIS inference API to embed it, and stores the
vector in a dense_vector field for kNN search.

Handles: PDFs (native or page-by-page image fallback), images, plain text.

seanhandley

Elasticsearch Inference API — Integrations Supporting Custom Base URL

14 integrations support setting a custom URL/endpoint.

Integrations with configurable URL/endpoint

Integration	Field	Required?	Notes
openai	url	optional	Enables any OpenAI-compatible server
cohere	url	optional	Shared across all Cohere task types

seanhandley

# Given a list of integers representing the heights of buildings,
# return the maximum number of buildings that can be seen when
# looking from the left. A building can see another building if
# it is taller than all the buildings to its left. The height of
# the tallest building is included in the count.
def see_buildings_left(buildings)
  return 0 if buildings.empty?

  buildings.each_cons(2).inject(1) do |count, (a, b)|
    count += 1 if a < b

seanhandley

MIN_LENGTH = 3

def max_product(collection)
  raise "Minimum collection size is #{MAX_LENGTH}" if collection.length < MIN_LENGTH
  
  collection.sort.last(MIN_LENGTH).reduce(:*)
end

max_product([2, 4, 1, 3, -5, 6])
# => 72

seanhandley

irb(main):001:1* def make_methods(&blk)
irb(main):002:1*   (1..100).each { |i| define_method("number_#{i}".to_sym) { blk.call(i) } }
irb(main):003:0> end
=> :make_methods
irb(main):004:0>
irb(main):005:0> make_methods { |i| i }
=> 1..100
irb(main):006:0>
irb(main):007:0> puts number_2 # => 2
2

seanhandley

10c10
< __faceIjkPentToGeoBoundary
---
> __faceIjkPentToCellBoundary
13a14
> __faceIjkToCellBoundary
15d15
< __faceIjkToGeoBoundary
25a26
> __gridDiskDistancesInternal

seanhandley

# Greedy Approach with Array#product
#
# $ time ruby a.rb
# Found it! Your raffle number is f8ryt
# real	2m12.019s
# user	2m7.764s
# sys	0m3.383s

require 'digest'

seanhandley

defmodule Plane do
  defstruct is_fueled?: false, has_pilot?: false

  def take_off(plane) do
    case plane do
      %Plane{ is_fueled?: false } ->
        :needs_fuel
      %Plane{ has_pilot?: false } ->
        :needs_pilot
      _ ->

seanhandley

🤝 Backend Team Final Interview Stage (Remote Edition)

During the next few weeks as we encourage all staff to work from home, we'll be trying out a new "final stage" of the hiring process.

Typically, we'd invite the candidate to the office to meet members of the engineering team in person, have lunch, and chat with the hiring manager.

The hard part (technical testing) is over and the focus is on getting to know each other. As such, our remote version of this process should focus on:

• Social activities.
• Letting the candidate see us working in-situ.

seanhandley

The Intcode Quine

Intcode is a simple virtual machine language devised for the advent of code programming challenge. It is comprised of a sequence of integer values, separated by commas.

A quine is a program which outputs its own source code.

A Ruby VM implementation to run Intcode is available here: https://github.com/seanhandley/adventofcode2019/tree/master/ruby/vm