dogweather

# Elixir + Phoenix

FROM elixir:1.6.1

# Install debian packages
RUN apt-get update
RUN apt-get install --yes build-essential inotify-tools postgresql-client

# Install Phoenix packages
RUN mix local.hex --force

dogweather

# typed: false
# frozen_string_literal: true

require 'json'

module PublicLaw
  # Represents a breadcrumb trail on a page.
  class Breadcrumbs
    include ActionView::Helpers
    extend T::Sig

dogweather

# `Hash#dig!`
#
# Like Ruby 2.3's `Hash#dig`, but raises an exception instead of returning `nil` 
# when a key isn't found.
#
# Ruby 2.3 introduces the new Hash#dig method for safe extraction of
# a nested value. See http://ruby-doc.org/core-2.3.0/Hash.html#method-i-dig.
# It is the equivalent of a safely repeated Hash#[].
#
# `#dig!`, on the other hand, is the equivalent of a repeated `Hash#fetch`. It's 

dogweather

# Remove adjacent duplicates in an array.
#
# @param [Array] a_list the array to de-dup
# @return [Array] the processed list of items
# @note Created to help display a user's log entries.
def de_dup(a_list)
  a_list.reduce([]) do |new_list, elem|
    new_list + (new_list.last.eql?(elem) ? [] : [elem])
  end
end

dogweather

Keybase proof

I hereby claim:

• I am dogweather on github.
• I am robb_shecter (https://keybase.io/robb_shecter) on keybase.
• I have a public key ASDrH8ifPTGHxZey0nn4PV67Y4l6LfWqXGBUXqgeUEhwgAo

To claim this, I am signing this object:

dogweather

Introduction to Lists

We just talked about Python's basic data types, string, integer and floating point objects. Python variables, then are like labels for objects; they're a way to refer to them.

But when writing real programs, one soon wishes there was more. For example, when there are lots of objects, which pretty much every program has. This gets tedious fast:

dogweather

@classmethod
def from_crawler(cls, crawler, *args, **kwargs):
    """Register to receive the idle event"""
    spider = super(SecureSosStateOrUsSpider, cls).from_crawler(
        crawler, *args, **kwargs
    )
    crawler.signals.connect(spider.spider_idle, signal=signals.spider_idle)
    return spider

def spider_idle(self, spider):

dogweather

def __init__(self):
    super().__init__()

    # A flag, set after post-processing is finished, to
    # avoid an infinite loop.
    self.data_submitted = False

    # The object to return for conversion to a JSON tree.
    # All the parse methods add their results to this
    # structure.

dogweather

# Pull the category back out of the meta dict.
parent_category = response.meta["category"]

# Create a new items.Brand with the scraped data.
# ...

# Add the new brand to its parent in the tree.
parent_category["brands"].append(brand)

dogweather

# Create a new Category to hold the scraped info. Also,
# prepare it for holding its brands.
category = items.Category(number="...", name="...", url="...", brands=[])

# Save the category into the tree structure.
self.sports["categories"].append(category)

# Create a request for the Category's page, which
# will list all its Brands. 
# Pass the Category Item in the meta dict.