In programming languages, literals are textual representations of values in the source code. This is a syntactical concept.
Some examples:
7 # integer literal
In programming languages, literals are textual representations of values in the source code. This is a syntactical concept.
Some examples:
7 # integer literal
begin | |
require "bundler/inline" | |
rescue LoadError => e | |
$stderr.puts "Bundler version 1.10 or later is required. Please update your Bundler" | |
raise e | |
end | |
gemfile(true) do | |
source "https://rubygems.org" |
#!/usr/bin/env ruby | |
# A sneaky wrapper around Rubocop that allows you to run it only against | |
# the recent changes, as opposed to the whole project. It lets you | |
# enforce the style guide for new/modified code only, as opposed to | |
# having to restyle everything or adding cops incrementally. It relies | |
# on git to figure out which files to check. | |
# | |
# Here are some options you can pass in addition to the ones in rubocop: | |
# |
This list is based on aliases_spec.rb.
You can see also Module: RSpec::Matchers API.
matcher | aliased to | description |
---|---|---|
a_truthy_value | be_truthy | a truthy value |
a_falsey_value | be_falsey | a falsey value |
be_falsy | be_falsey | be falsy |
a_falsy_value | be_falsey | a falsy value |
require 'stringio' | |
require 'timeout' | |
class Object | |
def methods_returning(expected, *args, &blk) | |
old_stdout = $> | |
$> = StringIO.new | |
methods.select do |meth| | |
Timeout::timeout(1) { dup.public_send(meth, *args, &blk) == expected rescue false } rescue false |
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#Model | |
@user.should have(1).error_on(:username) # Checks whether there is an error in username | |
@user.errors[:username].should include("can't be blank") # check for the error message | |
#Rendering | |
response.should render_template(:index) | |
#Redirecting | |
response.should redirect_to(movies_path) |
Data visualization in one of three most important steps in data mining (https://github.com/entaroadun/hnpickup). Often times, it's impossible to understand data without proper visualization. I went looking for great tools to do that.
Two website list recent JS visualization frameworks: