romiras

# Run:
# crystal src/main.cr \
#   -redis-url='redis://localhost:6379' \
#   -namespace=sidekiq \
#   -queue-name=foo \
#   -class-name=Foo::BarProcessor \
#   -arg1=123 \
#   > filtered_jobs.jsonl

require "json"

romiras

def raw_object
  self[:raw_object]
rescue ArgumentError => e
  raw = raw_object_before_type_cast
  raw.gsub!(%r{!ruby/object:MyNamespace::Fixme}, '!ruby/object:MyNamespace::Corrected')

  Psych.load(raw, symbolize_names: true)
end

romiras

# FILE: config/initializers/fix_yaml_column.rb

# serializes the columns that break because of memoized cache
#
# alternatively, we could have just removed the string for the memoized cache, but that sounded too dangerous

# hard-require to load the class
require 'active_record/coders/yaml_column'

class ActiveRecord::Coders::YAMLColumn

romiras

Signal.trap("INT") { throw :exit_loop }
def aaa
  catch :exit_loop do
    loop do
      puts 'foo'
      p Benchmark.realtime { sleep 1 }
      puts 'bar'
    end
  end
  Signal.trap('INT', 'DEFAULT')

romiras

Rails.application.routes.draw do
  get '/health', to: proc { [200, {}, ['ok']] }, as: :app_health_check

  get '/dd', to: proc {
    port_is_open = Socket.tcp('localhost', 8126, connect_timeout: 5) { true } rescue false
    res = "Datadog port is open: #{port_is_open}"
    [200, {}, [res]]
  }, as: :dd_health_check
end

romiras

"""
This demo program outputs raw SQL query by analyzing table, which is run by agent executer, via SQL adapter.
"""

import os
import sqlite3
from langchain.agents import *
from langchain.sql_database import SQLDatabase
from langchain.chains import create_sql_query_chain
from langchain_community.llms import OpenAI

romiras

Я: 
расскажи про проблемы языков программирования C, C++, C# в стиле хайку
ИИ: 
Конечно, в стиле хайку:

C и C++: Память - дикая, Утечки, ошибки, страх. Указатели власть.

C#: Графика, сети, Управляй, безопасность. .NET, удобство.

romiras

version: "3"

services:
  opensearch:
    image: opensearchproject/opensearch:${OPENSEARCH_VERSION}
    restart: "${OPENSEARCH_RESTART:-unless-stopped}"
    environment:
      - cluster.name=opensearch-cluster
      - node.name=opensearch-node1
      - discovery.type=single-node

romiras

# using ripgrep on macos
for f in $(rg --files-with-matches -F '2.7.6/'); do sed -i '' 's/\/2\.7\.6\//\/2\.7\.7\//' $f; done

romiras

require_relative './logging'
require_relative './async_consumer'

def drain(data_store, queue_name, output_filename)
  json_store = File.open(output_filename, 'a')

  executor = lambda do |class_name, args|
    Logging.logger.info "class_name: #{class_name}, args: #{args}"

    json_store.write("#{ { class: class_name, args: args }.to_json }\n")