class Prism::ClassVariableReadNode
^^^^^
@@foo
Represents referencing a class variable.
def self.type
class, but should be faster in a case statement or an array comparison.
Note that like #type, it will still be slower than using == for a single
splitting on the type of the node without having to do a long === chain.
Similar to #type, this method returns a symbol that you can use for
def self.type :class_variable_read_node end
def accept(visitor)
def accept(visitor) visitor.visit_class_variable_read_node(self) end
def child_nodes
def child_nodes [] end
def comment_targets
def comment_targets [] end
def compact_child_nodes
def compact_child_nodes [] end
def copy(**params)
def copy(**params) ClassVariableReadNode.new( params.fetch(:name) { name }, params.fetch(:location) { location }, ) end
def deconstruct_keys(keys)
def deconstruct_keys(keys) { name: name, location: location } end
def initialize(name, location)
def initialize(name, location) @newline = false @name = name @location = location end
def inspect(inspector = NodeInspector.new)
def inspect(inspector = NodeInspector.new) inspector << inspector.header(self) inspector << "└── name: #{name.inspect}\n" inspector.to_str end
def type
keys will use a jump table.
you can take advantage of the fact that case statements with all symbol
it uses a single integer comparison, but also because if you're on CRuby
can use for comparison. This is faster than the other approaches because
Instead, you can call #type, which will return to you a symbol that you
method calls, and/or array allocations.
these approaches are relatively slow because of the constant lookups,
case statement and doing `case node; when cls1; when cls2; end`. Both of
calling `[cls1, cls2].include?(node.class)` or putting the node into a
classes to see what kind of behavior to perform. Usually this is done by
Sometimes you want to check an instance of a node against a list of
def type :class_variable_read_node end