AlkantarClanX12
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# Profile provides a way to Profile your Ruby application.
#
# Profiling your program is a way of determining which methods are called and
# how long each method takes to complete. This way you can detect which
# methods are possible bottlenecks.
#
# Profiling your program will slow down your execution time considerably,
# so activate it only when you need it. Don't confuse benchmarking with
# profiling.
#
# There are two ways to activate Profiling:
#
# == Command line
#
# Run your Ruby script with <code>-rprofile</code>:
#
# ruby -rprofile example.rb
#
# If you're profiling an executable in your <code>$PATH</code> you can use
# <code>ruby -S</code>:
#
# ruby -rprofile -S some_executable
#
# == From code
#
# Just require 'profile':
#
# require 'profile'
#
# def slow_method
# 5000.times do
# 9999999999999999*999999999
# end
# end
#
# def fast_method
# 5000.times do
# 9999999999999999+999999999
# end
# end
#
# slow_method
# fast_method
#
# The output in both cases is a report when the execution is over:
#
# ruby -rprofile example.rb
#
# % cumulative self self total
# time seconds seconds calls ms/call ms/call name
# 68.42 0.13 0.13 2 65.00 95.00 Integer#times
# 15.79 0.16 0.03 5000 0.01 0.01 Fixnum#*
# 15.79 0.19 0.03 5000 0.01 0.01 Fixnum#+
# 0.00 0.19 0.00 2 0.00 0.00 IO#set_encoding
# 0.00 0.19 0.00 1 0.00 100.00 Object#slow_method
# 0.00 0.19 0.00 2 0.00 0.00 Module#method_added
# 0.00 0.19 0.00 1 0.00 90.00 Object#fast_method
# 0.00 0.19 0.00 1 0.00 190.00 #toplevel
module Profiler__
class Wrapper < Struct.new(:defined_class, :method_id, :hash) # :nodoc:
private :defined_class=, :method_id=, :hash=
def initialize(klass, mid)
super(klass, mid, nil)
self.hash = Struct.instance_method(:hash).bind(self).call
end
def to_s
"#{defined_class.inspect}#".sub(/\A\#<Class:(.*)>#\z/, '\1.') << method_id.to_s
end
alias inspect to_s
end
# internal values
@@start = nil # the start time that profiling began
@@stacks = nil # the map of stacks keyed by thread
@@maps = nil # the map of call data keyed by thread, class and id. Call data contains the call count, total time,
PROFILE_CALL_PROC = TracePoint.new(*%i[call c_call b_call]) {|tp| # :nodoc:
now = Process.times[0]
stack = (@@stacks[Thread.current] ||= [])
stack.push [now, 0.0]
}
PROFILE_RETURN_PROC = TracePoint.new(*%i[return c_return b_return]) {|tp| # :nodoc:
now = Process.times[0]
key = Wrapper.new(tp.defined_class, tp.method_id)
stack = (@@stacks[Thread.current] ||= [])
if tick = stack.pop
threadmap = (@@maps[Thread.current] ||= {})
data = (threadmap[key] ||= [0, 0.0, 0.0, key])
data[0] += 1
cost = now - tick[0]
data[1] += cost
data[2] += cost - tick[1]
stack[-1][1] += cost if stack[-1]
end
}
module_function
def start_profile
@@start = Process.times[0]
@@stacks = {}
@@maps = {}
PROFILE_CALL_PROC.enable
PROFILE_RETURN_PROC.enable
end
def stop_profile
PROFILE_CALL_PROC.disable
PROFILE_RETURN_PROC.disable
end
def print_profile(f)
stop_profile
total = Process.times[0] - @@start
if total == 0 then total = 0.01 end
totals = {}
@@maps.values.each do |threadmap|
threadmap.each do |key, data|
total_data = (totals[key] ||= [0, 0.0, 0.0, key])
total_data[0] += data[0]
total_data[1] += data[1]
total_data[2] += data[2]
end
end
# Maybe we should show a per thread output and a totals view?
data = totals.values
data = data.sort_by{|x| -x[2]}
sum = 0
f.printf " %% cumulative self self total\n"
f.printf " time seconds seconds calls ms/call ms/call name\n"
for d in data
sum += d[2]
f.printf "%6.2f %8.2f %8.2f %8d ", d[2]/total*100, sum, d[2], d[0]
f.printf "%8.2f %8.2f %s\n", d[2]*1000/d[0], d[1]*1000/d[0], d[3]
end
f.printf "%6.2f %8.2f %8.2f %8d ", 0.0, total, 0.0, 1 # ???
f.printf "%8.2f %8.2f %s\n", 0.0, total*1000, "#toplevel" # ???
end
end