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-# Copyright (c) 2005 Zed A. Shaw
-# You can redistribute it and/or modify it under the same terms as Ruby.
-#
-# Additional work donated by contributors.  See http://mongrel.rubyforge.org/attributions.html
-# for more information.
-
-# A very simple little class for doing some basic fast statistics sampling.
-# You feed it either samples of numeric data you want measured or you call
-# Stats.tick to get it to add a time delta between the last time you called it.
-# When you're done either call sum, sumsq, n, min, max, mean or sd to get
-# the information.  The other option is to just call dump and see everything.
-#
-# It does all of this very fast and doesn't take up any memory since the samples
-# are not stored but instead all the values are calculated on the fly.
-module Mongrel
-  class Stats
-    attr_reader :sum, :sumsq, :n, :min, :max
-
-    def initialize(name)
-      @name = name
-      reset
-    end
-
-    # Resets the internal counters so you can start sampling again.
-    def reset
-      @sum = 0.0
-      @sumsq = 0.0
-      @last_time = Time.new
-      @n = 0.0
-      @min = 0.0
-      @max = 0.0
-    end
-
-    # Adds a sampling to the calculations.
-    def sample(s)
-      @sum += s
-      @sumsq += s * s
-      if @n == 0
-        @min = @max = s
-      else
-        @min = s if @min > s
-        @max = s if @max < s
-      end
-      @n+=1
-    end
-
-    # Dump this Stats object with an optional additional message.
-    def dump(msg = "", out=STDERR)
-      out.puts "#{msg}: #{self.to_s}"
-    end
-
-    # Returns a common display (used by dump)
-    def to_s  
-    "[#{@name}]: SUM=%0.4f, SUMSQ=%0.4f, N=%0.4f, MEAN=%0.4f, SD=%0.4f, MIN=%0.4f, MAX=%0.4f" % [@sum, @sumsq, @n, mean, sd, @min, @max]
-    end
-
-
-    # Calculates and returns the mean for the data passed so far.
-    def mean
-      @sum / @n
-    end
-
-    # Calculates the standard deviation of the data so far.
-    def sd
-      # (sqrt( ((s).sumsq - ( (s).sum * (s).sum / (s).n)) / ((s).n-1) ))
-      begin
-        return Math.sqrt( (@sumsq - ( @sum * @sum / @n)) / (@n-1) )
-      rescue Errno::EDOM
-        return 0.0
-      end
-    end
-
-
-    # Adds a time delta between now and the last time you called this.  This
-    # will give you the average time between two activities.
-    #
-    # An example is:
-    #
-    #  t = Stats.new("do_stuff")
-    #  10000.times { do_stuff(); t.tick }
-    #  t.dump("time")
-    #
-    def tick
-      now = Time.now
-      sample(now - @last_time)
-      @last_time = now
-    end
-  end
-end