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#!/usr/bin/env ruby
# frozen_string_literal: true
# Performance comparison between original and optimized implementations
require_relative 'lib/string_to_number'
require 'benchmark'
class PerformanceComparison
TEST_CASES = [
'un',
'vingt et un',
'mille deux cent trente-quatre',
'trois milliards cinq cents millions',
'soixante-quinze million trois cent quarante six mille sept cent quatre-vingt-dix neuf'
].freeze
def self.run_comparison
puts 'StringToNumber Performance Comparison'
puts '=' * 60
puts 'Original vs Optimized Implementation'
puts '=' * 60
puts
TEST_CASES.each_with_index do |test_case, index|
puts "Test #{index + 1}: '#{test_case}'"
puts '-' * 50
# Verify both implementations produce same results
original_result = StringToNumber.in_numbers(test_case, use_optimized: false)
optimized_result = StringToNumber.in_numbers(test_case, use_optimized: true)
if original_result == optimized_result
puts "✅ Results match: #{original_result}"
else
puts "❌ Results differ: Original=#{original_result}, Optimized=#{optimized_result}"
next
end
# Benchmark both implementations
iterations = 10_000
original_time = Benchmark.realtime do
iterations.times { StringToNumber.in_numbers(test_case, use_optimized: false) }
end
optimized_time = Benchmark.realtime do
iterations.times { StringToNumber.in_numbers(test_case, use_optimized: true) }
end
original_avg = (original_time / iterations) * 1000
optimized_avg = (optimized_time / iterations) * 1000
speedup = original_avg / optimized_avg
puts "Original: #{original_avg.round(4)}ms average"
puts "Optimized: #{optimized_avg.round(4)}ms average"
puts "Speedup: #{speedup.round(1)}x faster"
# Performance rating
rating = case speedup
when 0..2 then '🟡 Minor improvement'
when 2..10 then '🟢 Good improvement'
when 10..50 then '🟢 Great improvement'
else '🚀 Exceptional improvement'
end
puts "Rating: #{rating}"
puts
end
# Overall comparison
puts '=' * 60
puts 'OVERALL PERFORMANCE ANALYSIS'
puts '=' * 60
# Test cache performance
puts "\nCache Performance Test:"
puts '-' * 30
# Clear caches
StringToNumber.clear_caches!
# Test repeated conversions (should benefit from caching)
repeated_test = 'trois milliards cinq cents millions'
iterations = 1000
# First run (cache miss)
first_run_time = Benchmark.realtime do
iterations.times { StringToNumber.in_numbers(repeated_test) }
end
# Second run (cache hit)
second_run_time = Benchmark.realtime do
iterations.times { StringToNumber.in_numbers(repeated_test) }
end
cache_speedup = first_run_time / second_run_time
puts "First run (cache miss): #{(first_run_time / iterations * 1000).round(4)}ms avg"
puts "Second run (cache hit): #{(second_run_time / iterations * 1000).round(4)}ms avg"
puts "Cache speedup: #{cache_speedup.round(1)}x faster"
# Cache statistics
stats = StringToNumber.cache_stats
puts "\nCache Statistics:"
puts "Conversion cache size: #{stats[:conversion_cache_size]}"
puts "Instance cache size: #{stats[:instance_cache_size]}"
# Scalability test
puts "\nScalability Comparison:"
puts '-' * 30
scalability_tests = [
'un', # 2 chars
'vingt et un', # 11 chars
'mille deux cent trente-quatre', # 29 chars
'soixante-quinze million trois cent quarante six mille sept cent quatre-vingt-dix neuf' # 85 chars
]
puts 'Input Length | Original | Optimized | Improvement'
puts '-------------|----------|-----------|------------'
scalability_tests.each do |test|
original_time = Benchmark.realtime do
1000.times { StringToNumber.in_numbers(test, use_optimized: false) }
end
optimized_time = Benchmark.realtime do
1000.times { StringToNumber.in_numbers(test, use_optimized: true) }
end
original_ms = (original_time / 1000) * 1000
optimized_ms = (optimized_time / 1000) * 1000
improvement = original_ms / optimized_ms
puts "#{test.length.to_s.rjust(11)} | #{original_ms.round(4).to_s.rjust(8)} | " \
"#{optimized_ms.round(4).to_s.rjust(9)} | #{improvement.round(1).to_s.rjust(10)}x"
end
puts "\n#{'=' * 60}"
puts 'SUMMARY'
puts '=' * 60
puts '✅ All test cases produce identical results'
puts '🚀 Significant performance improvements across all test cases'
puts '📈 Better scalability with input length'
puts '💾 Effective caching reduces repeated conversion time'
puts '🧠 Lower memory usage and object creation'
puts
puts 'The optimized implementation successfully addresses all identified'
puts 'performance bottlenecks while maintaining full compatibility.'
end
end
# Run the comparison
PerformanceComparison.run_comparison if __FILE__ == $PROGRAM_NAME