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English.rb
6.44
KB
-rw-r--r--
2013-02-04 03:50
abbrev.rb
3.31
KB
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2013-02-21 18:35
base64.rb
2.63
KB
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2013-05-19 05:10
benchmark.rb
17.95
KB
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2013-09-20 18:05
cgi.rb
9.84
KB
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2013-07-18 15:50
cmath.rb
8.93
KB
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2015-07-03 11:12
complex.rb
380
B
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2009-08-16 17:34
csv.rb
81.68
KB
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2014-09-14 17:25
date.rb
946
B
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2023-07-26 16:08
debug.rb
29.08
KB
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2013-12-14 15:48
delegate.rb
11.13
KB
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2014-02-02 14:46
digest.rb
2.34
KB
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2023-07-26 16:08
dl.rb
280
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2023-07-26 16:08
drb.rb
19
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2009-10-02 12:45
e2mmap.rb
3.89
KB
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2013-12-17 12:20
erb.rb
26.07
KB
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2014-08-11 16:55
expect.rb
2.14
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2023-07-26 16:08
fiddle.rb
1.65
KB
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2023-07-26 16:08
fileutils.rb
47.17
KB
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2015-04-28 07:16
find.rb
2.36
KB
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2014-10-15 17:31
forwardable.rb
7.86
KB
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2013-05-23 23:46
getoptlong.rb
15.38
KB
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2013-05-19 16:50
gserver.rb
8.86
KB
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2014-07-06 15:57
ipaddr.rb
17.05
KB
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2015-10-29 15:36
irb.rb
20.03
KB
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2016-03-25 09:22
json.rb
1.74
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2023-07-26 16:08
kconv.rb
5.74
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2023-07-26 16:08
logger.rb
22.37
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2016-02-25 12:04
mathn.rb
6.52
KB
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2011-08-27 00:22
matrix.rb
45.43
KB
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2014-07-11 16:08
mkmf.rb
80.5
KB
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2023-07-26 16:06
monitor.rb
6.93
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2012-11-16 17:55
mutex_m.rb
2
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2013-02-20 03:51
observer.rb
5.81
KB
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2013-11-21 05:44
open-uri.rb
24.27
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2014-02-22 09:54
open3.rb
20.37
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2013-12-01 04:13
openssl.rb
528
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2023-07-26 16:08
optparse.rb
50.8
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2013-11-28 08:34
ostruct.rb
7.7
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2013-10-23 17:14
pathname.rb
15.3
KB
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2023-07-26 16:08
pp.rb
14.1
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2013-10-22 11:29
prettyprint.rb
16.33
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2013-05-19 05:10
prime.rb
13.2
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2013-07-15 06:21
profile.rb
205
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2009-10-02 12:45
profiler.rb
4.51
KB
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2013-05-20 01:04
pstore.rb
14.85
KB
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2012-11-11 05:23
psych.rb
14.88
KB
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2023-07-26 16:08
rake.rb
2.12
KB
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2013-10-11 23:35
rational.rb
308
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2009-09-24 02:42
rdoc.rb
4.92
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2013-12-22 11:25
resolv-replace.rb
1.73
KB
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2013-03-11 14:47
resolv.rb
72.31
KB
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2015-05-13 07:33
ripper.rb
2.53
KB
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2023-07-26 16:08
rss.rb
2.84
KB
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2011-05-11 12:22
rubygems.rb
30.97
KB
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2023-07-26 16:06
scanf.rb
23.54
KB
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2013-12-14 03:55
securerandom.rb
8.49
KB
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2013-11-07 19:04
set.rb
18.7
KB
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2013-11-23 00:50
shell.rb
10.3
KB
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2013-05-19 05:10
shellwords.rb
5.94
KB
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2013-12-14 19:26
singleton.rb
4.02
KB
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2011-05-18 16:09
socket.rb
25.6
KB
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2023-07-26 16:08
sync.rb
7.25
KB
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2013-05-19 05:10
tempfile.rb
11.4
KB
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2013-11-21 10:28
thwait.rb
3.38
KB
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2013-11-07 18:02
time.rb
21.32
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2015-08-17 09:41
timeout.rb
3.7
KB
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2015-08-17 09:55
tmpdir.rb
4.15
KB
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2013-05-19 05:10
tracer.rb
6.4
KB
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2013-07-18 15:50
tsort.rb
14.14
KB
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2013-10-17 17:59
ubygems.rb
268
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2009-10-02 12:45
un.rb
8.87
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2013-07-05 15:43
uri.rb
3.07
KB
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2011-05-13 22:03
weakref.rb
3.23
KB
-rw-r--r--
2013-11-09 23:42
webrick.rb
6.69
KB
-rw-r--r--
2013-10-06 01:39
xmlrpc.rb
8.49
KB
-rw-r--r--
2013-12-12 04:09
yaml.rb
2.31
KB
-rw-r--r--
2013-08-12 05:49
Save
Rename
# 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 # Starts the profiler. # # See Profiler__ for more information. def start_profile @@start = Process.times[0] @@stacks = {} @@maps = {} PROFILE_CALL_PROC.enable PROFILE_RETURN_PROC.enable end # Stops the profiler. # # See Profiler__ for more information. def stop_profile PROFILE_CALL_PROC.disable PROFILE_RETURN_PROC.disable end # Outputs the results from the profiler. # # See Profiler__ for more information. 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