untwal

shipping_rules = [
  {
    brand_name: 'Bella + Canvas',
    free_shipping_threshold: 200,
    shipping_fees: {
      fastest: 9.95,
      standard: 0.00,
      economy: 5.45
    },
    discount_coupon_allowed: false,

untwal

brand_and_catalog_numbers = {
	'Bella + Canvas' => ['BST323', 'BST323C'],
	'Bayside' => ['1900J1'],
	'LAT' => ['J0041', 'J0042'], 
	'Rabbit Skins' => ['J0051', 'J0052'],
	'US Blanks' => ['USFM47'],
	'Next Level' => ['NLM100', 'NLM101']
}

brand_and_catalog_numbers.each do |brand_name, catalog_numbers|

iarie

# May 
interval = Date.new(2020, 5, 1).all_month

stock_location_ids = Spree::Supplier.alphabroder.stock_location_ids
order_ids = Spree::Order.joins(:shipments).where(
  completed_at: interval,
  spree_shipments: { 
    state: 'processing',
    stock_location_id: stock_location_ids
  }

iarie

# Get Status
get_status = -> (po_number) do
  r = Supplier::Alphabroder::OrderStatusV2::GetOrderStatus.new.call(po_number)
  doc = Nokogiri::XML(r.body)
  nodes = doc.xpath("//order[not(shipstatus)]")
  pnode = Supplier::Alphabroder::OrderStatusV2::OrderXmlNode.new(nodes)

  pnode.ship_method_nodes.map do |n| 
    {
      number: n.shipper_number,

iarie

interval = Date.new(2020, 5, 1)..Date.new(2020, 6, 7)

module FixStuckShipments
  FINAL_STATES = %w[
    shipped
    canceled
  ].freeze

  SHIPMENT_STATUS_MAP = {
    'Complete' => 'shipped',

garg-aayush

Setting Up Your Personal GPU Server: A Step-by-Step Guide

I've been using a GPU workstation with an RTX 4090 for almost a year now, and it's been one of the best decisions I've made. With a personal GPU server, you no longer need to rely on cloud-based GPU instances from services like RunPod or Vast.ai every time you want to run a job or try new models. The best part? No stress about recurring GPU instance costs! :-)

However, I rarely work directly on my workstation. Instead, I prefer the flexibility of accessing the GPU remotely using my MacBook, whether I'm working from different locations within my home, from a co-working space, or a cozy cafe in another part of town.

In this blog, I will walk you through the steps to configure a personal GPU Ubuntu server.

For this guide, I assume you already have a workstation running Ubuntu with a GPU and it is connected to your local network