From 43db188f08d0d329080686fc2280ddec56331c0a Mon Sep 17 00:00:00 2001 From: Garrison Jensen Date: Thu, 25 Apr 2024 20:32:21 -0700 Subject: [PATCH] Update benchmarks and README --- README.md | 24 ++++--- benchmark/.DS_Store | Bin 0 -> 6148 bytes benchmark/add_performance_comparison.png | Bin 97547 -> 90620 bytes benchmark/benchmark.rb | 66 +++++++++++------- benchmark/benchmark_init_only.rb | 46 ++++++++++++ benchmark/benchmark_results.csv | 10 +-- benchmark/benchmark_results_init.csv | 6 ++ benchmark/build_graphs.rb | 6 +- benchmark/build_graphs_init_only.rb | 55 +++++++++++++++ benchmark/delete_performance_comparison.png | Bin 96492 -> 88684 bytes benchmark/include_performance_comparison.png | Bin 91476 -> 87370 bytes benchmark/init_performance_comparison.png | Bin 0 -> 87387 bytes .../initialize_performance_comparison.png | Bin 0 -> 90315 bytes .../initiation_performance_comparison.png | Bin 0 -> 87771 bytes .../iteration_performance_comparison.png | Bin 96218 -> 86973 bytes benchmark/looping_performance_comparison.png | Bin 84313 -> 0 bytes benchmark/performance_comparison.png | Bin 85591 -> 0 bytes 17 files changed, 171 insertions(+), 42 deletions(-) create mode 100644 benchmark/.DS_Store create mode 100644 benchmark/benchmark_init_only.rb create mode 100644 benchmark/benchmark_results_init.csv create mode 100644 benchmark/build_graphs_init_only.rb create mode 100644 benchmark/init_performance_comparison.png create mode 100644 benchmark/initialize_performance_comparison.png create mode 100644 benchmark/initiation_performance_comparison.png delete mode 100644 benchmark/looping_performance_comparison.png delete mode 100644 benchmark/performance_comparison.png diff --git a/README.md b/README.md index 3e32e30..23a66d4 100644 --- a/README.md +++ b/README.md @@ -1,32 +1,38 @@ # SortedContainers -SortedContainers is a _fast_ implementation of sorted lists, sets, and dictionaries in pure Ruby. It is based on the [sortedcontainers](https://grantjenks.com/docs/sortedcontainers/) Python library by Grant Jenks. +SortedContainers is a fast implementation of sorted lists, sets, and dictionaries in pure Ruby. It is based on the [sortedcontainers](https://grantjenks.com/docs/sortedcontainers/) Python library by Grant Jenks. SortedContainers provides three main classes: `SortedArray`, `SortedSet`, and `SortedHash`. Each class is a drop-in replacement for the corresponding Ruby class, but with the added benefit of maintaining the elements in sorted order. -SortedContainers exploits the fact that modern computers are really good at shifting elements around in memory. We sacrifice theroetical time complexity for practical performance. In practice, SortedContainers is _fast_. +SortedContainers exploits the fact that modern computers are really good at shifting arrays in memory. We sacrifice theroetical time complexity for practical performance. In practice, SortedContainers is fast. ## How it works -Computers are really good at shifting arrays around. For that reason, in practice it's often faster to keep an array sorted than to use the usual tree-based data structures. +Computers are good at shifting arrays. For that reason, it's often faster to keep an array sorted than to use the usual tree-based data structures. -For example, if you have the array `[1, 2, 4, 5]` and you want to insert the element `3`, you can simply shift `4, 5` to the right and insert `3` in the correct position. This is a `O(n)` operation, but it's fast. +For example, if you have the array `[1, 2, 4, 5]` and want to insert the element `3`, you can shift `4, 5` to the right and insert `3` in the correct position. This is a `O(n)` operation, but in practice it's fast. -But if we have a lot of elements we can do better by breaking up the array into smaller arrays. That way we don't have to shift so many elements whenever we insert. For example, if you have the array `[[1, 2], [4, 5]]` and you want to insert the element `3`, you can simply insert `3` into the first array. +But we can do better if we have a lot of elements. We can break up the array into smaller arrays so the shifts don't have to move so many elements. For example, if you have the array `[[1,2,4], [5,6,7]]` and you want to insert the element `3`, you can insert `3` into the first array to get `[[1,2,3,4], [5,6,7]]` and only the element `4` has to be shifted. -This often outperforms the more common tree-based data structures like red-black trees and AVL trees, which have `O(log n)` insertions and deletions. In practice, the `O(n)` insertions and deletions of SortedContainers are faster. +This often outperforms the more common tree-based data structures like red-black trees with `O(log n)` insertions and deletions. In practice, the `O(n)` insertions and deletions of SortedContainers are faster. -How big these smaller arrays should be is a trade-off. The default is set DEFAULT_LOAD_FACTOR = 1000. There is no perfect value and the ideal value will depend on your use case. +How big the subarrays are is a trade-off. You can modify how big you want to subarrays by setting the `load_factor`. The default is set to DEFAULT_LOAD_FACTOR = 1000. The subarray is split when its size is `2*load_factor`. There is no perfect value. The ideal value will depend on your use case and may require some experimentation. ## Benchmarks -Performance comparison against [SortedSet](https://github.com/knu/sorted_set) a C extension red-black tree implementation (lower is better). +Performance comparison against [SortedSet](https://github.com/knu/sorted_set) a C extension red-black tree implementation. Every test was run 5 times and the average was taken. +You can see that SortedContainers has compariable performance for add and delete, and much better performance for iteration, initialization, and include. + +Note: I do not know why initialization is faster for 4 million than 3 million elements. This was consistant across multiple runs. + +- MacBook Pro (16-inch, 2019) - 2.6 GHz 6-Core Intel Core i7, 16 GB 2667 MHz DDR4 - Ruby 3.2.2 - SortedContainers 0.1.0 - SortedSet 1.0.3 - +### Results (Lower is better) + diff --git a/benchmark/.DS_Store b/benchmark/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..2f7b36215ec09d011fbed0f090d66d8833d07d86 GIT binary patch literal 6148 zcmeHKyH3L}6g`Fvc)07sGG*w@7c2@WfzJkx;1DN1k z+m%RLma0Oi@~!SYe&in8Cvsc^P_;>11hQ*GEF$^ z#H_GOjuvO$Gx>}2_?*i=XQs?PAxF&7FV~@xI-MKk1h-~}38QE`g2n}X%zA3ptU2o` zOEUW|Q77GMqn)J#GR0mHd0Aj#qV=T+x0Ljq~Lx;IV_Ry3~CE8Twt{BRu zvt7IALWj9Un-1kJAIgoa+zmyU(aEpP<4~bRAH4!zfuaK2wpy0+|N8g)e=*6|yaHZ< zjZ#1b^+vtMCAqV8VR3TSYWh80OrFavniK|i9Gik1#m97G?9);ph7NO!Y@zu-0!9WO JyaIo!z&DbuqwW9z literal 0 HcmV?d00001 diff --git a/benchmark/add_performance_comparison.png b/benchmark/add_performance_comparison.png index e21d1d765027a2e7975a932cd97bcb18187bf2fd..5e1ca068af6aeb0927b72fb5bd645313b7a0091e 100644 GIT binary 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data2) + + # X-axis labels + g.x_axis_label = "Number of operations" + + # Labels for x_axis + g.labels = labels + + # Formatting y-axis to ensure no scientific notation, may need to adjust if log scale creates issues + g.y_axis_label = "Time (seconds)" + + # Write the graph to a file + g.write(file_name) +end +# rubocop:enable Metrics/ParameterLists + +# Generate labels for x_axis, format numbers with commas +labels = {} +sizes.each_with_index do |size, index| + labels[index] = size.to_s.reverse.gsub(/(\d{3})(?=\d)/, '\\1,').reverse +end + +# Generate a graph for each operation +operations.each do |operation, keys| + puts "#{operation} #{keys}" + create_graph(operation, sizes, data[keys[0]], data[keys[1]], labels, + "#{operation.downcase}_performance_comparison.png") +end diff --git a/benchmark/delete_performance_comparison.png b/benchmark/delete_performance_comparison.png index 20fb9fb64c65a7e38f6b3d36636e0ff5c278b661..d180a5337a25e9fbbd15c49325cc1f559960248c 100644 GIT binary patch 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