bench-show (empty) → 0.2.0
raw patch · 26 files changed
+5156/−0 lines, 26 filesdep +Chartdep +Chart-diagramsdep +ansi-wl-pprint
Dependencies added: Chart, Chart-diagrams, ansi-wl-pprint, base, bench-show, csv, directory, filepath, mwc-random, split, statistics, text, transformers, vector
Files
- Changelog.md +69/−0
- LICENSE +27/−0
- README.md +158/−0
- bench-show.cabal +156/−0
- docs/full-median-time.svg +3/−0
- docs/grouped-delta-median-time.svg +3/−0
- docs/grouped-median-time.svg +3/−0
- docs/grouped-percent-delta-coeff-time.svg +3/−0
- docs/grouped-percent-delta-median-time.svg +3/−0
- docs/grouped-percent-delta-sorted-median-time.svg +3/−0
- docs/grouped-single-estimator-coeff-time.svg +3/−0
- docs/regression-percent-descending-median-time.svg +3/−0
- lib/BenchShow.hs +100/−0
- lib/BenchShow/Analysis.hs +397/−0
- lib/BenchShow/Common.hs +1243/−0
- lib/BenchShow/Graph.hs +161/−0
- lib/BenchShow/Report.hs +204/−0
- lib/BenchShow/Tutorial.hs +343/−0
- stack-8.2.yaml +14/−0
- stack.yaml +7/−0
- test/Doc.hs +139/−0
- test/Main.hs +162/−0
- test/results-doc-multi.csv +8/−0
- test/results-doc.csv +7/−0
- test/results.csv +61/−0
- test/results.csvraw +1876/−0
+ Changelog.md view
@@ -0,0 +1,69 @@+## 0.2.0++### Release Notes++* Due to a bug in the `statistics` package, reporting may crash on certain+ inputs with a `vector index out of bounds` message. The bug has been fixed+ and will be available in an upcoming release.++### Breaking Changes++* The package `bench-graph` has been renamed to `bench-show` to reflect the+ fact that it now includes text reports as well. This includes the change of+ module name `BenchGraph` to `BenchShow`.+* The `bgraph` API has been removed and replaced by `graph`+* The way output file is generated has changed. Now field name or group name+ being plotted or both may be suffixed to the output file name automatically.+ The estimator type (e.g. mean or median) is also suffixed to the filename.+* Changes to `Config` record:+ * `chartTitle` field has been renamed to `title`.+ * The type of `outputDir` is now a `Maybe`.+ * `comparisonStyle` has been replaced by `presentation`+ * `ComparisonStyle` has been replaced by `Presentation`+ * `sortBenchmarks` has been replaced by `selectBenchmarks`. The new+ function can be defined as follows in terms of an older definition:+ `selectBenchmarks = \g ->+ sortBenchmarks $ either error (map fst) $ f (ColumnIndex 0)`+ * `sortBenchGroups` has been replaced by `selectGroups`+ * `setYScale` field has been broken down into two fields `fieldRanges` and+ `fieldTicks`. Now you also need to specify which fields' scale+ you want to set.++### Enhancements++* A `report` API has been added to generate textual reports+* More ways to compare groups have been added, including percent and percent+ difference+* Now we can show multiple fields as columns in a single benchmark group report+* Field units are now automatically selected based on the range of values+* Additions to `Config` record type:+ * `selectFields` added to select the fields to be plotted and to change+ their presentation order.+ * `selectBenchmarks` can now sort the results based on values corresponding to+ any field or benchmark group.+ * new fields added: `diffStrategy`, `verbose`, `estimator`, `threshold`++## 0.1.4++* Fix a bug resulting in a bogus error, something like "Field [time] found at+ different indexes.." even though the field has exactly the same index at all+ places.++## 0.1.3++* Add maxrss plotting support++## 0.1.2++* Fixed a bug that caused missing graphs in some cases when multiple iterations+ of a benchmark are present in the bechmark results file.++* Better error reporting to pinpoint errors when a problem occurs.++## 0.1.1++* Support GHC 8.4++## 0.1.0++* Initial release
+ LICENSE view
@@ -0,0 +1,27 @@+Copyright (c) 2018, Harendra Kumar+All rights reserved.++Redistribution and use in source and binary forms, with or without+modification, are permitted provided that the following conditions are met:++1. Redistributions of source code must retain the above copyright notice, this+list of conditions and the following disclaimer.++2. Redistributions in binary form must reproduce the above copyright notice,+this list of conditions and the following disclaimer in the documentation+and/or other materials provided with the distribution.++3. Neither the name of the copyright holder nor the names of its contributors+may be used to endorse or promote products derived from this software without+specific prior written permission.++THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ README.md view
@@ -0,0 +1,158 @@+# bench-show++Generate text reports and graphical charts from the benchmark results+generated by `gauge` or `criterion`, showing or comparing benchmarks in+many useful ways. In a few lines of code, we can report time taken, peak+memory usage, allocations, among many other fields; we can group benchmarks+and compare the groups; we can compare benchmarks before and after a change;+we can show absolute or percentage difference from the baseline; we can sort+the results to get the worst affected benchmarks by percentage change.++It can help us in answering questions like the following, visually or+textually:++* Across two benchmark runs, show all the operations that resulted in a+ regression of more than 10%, so that we can quickly identify and fix+ performance problems in our application.+* Across two (or more) packages providing similar functionality, show all the+ operations where the performance differs by more than 10%, so that we can+ critically analyze the packages and choose the right one.++## Quick Start++Use `gauge` or `criterion` to generate a `results.csv` file, and then use the+following code to generate a textual report or a graph:++```+report "results.csv" Nothing defaultConfig+graph "results.csv" "output" defaultConfig+```++For advanced usage, control the generated report by modifying the+`defaultConfig`.++## Reports and Charts++`report` with `Fields` presentation style generates a multi-column report. We+can select many fields from a `gauge` raw report. Units of the fields are+automatically determined based on the range of values:++```haskell+report "results.csv" Nothing defaultConfig { presentation = Fields }+```++```+Benchmark time(μs) maxrss(MiB)+------------- -------- -----------+vector/fold 641.62 2.75+streamly/fold 639.96 2.75+vector/map 638.89 2.72+streamly/map 653.36 2.66+vector/zip 651.42 2.58+streamly/zip 644.33 2.59+```++`graph` generates one bar chart per field:++```+graph "results.csv" "output" defaultConfig+```++When the input file contains results from a single benchmark run, by default+all the benchmarks are placed in a single benchmark group named "default".++[](https://github.com/composewell/bench-show/blob/master/docs/full-median-time.svg)++## Grouping++Let's write a benchmark classifier to put the `streamly` and `vector`+benchmarks in their own groups:++```haskell+ classifier name =+ case splitOn "/" name of+ grp : bench -> Just (grp, concat bench)+ _ -> Nothing+```++Now we can show the two benchmark groups as separate columns. We can+generate reports comparing different benchmark fields (e.g. `time` and+`maxrss`) for all the groups:++```haskell+ report "results.csv" Nothing+ defaultConfig { classifyBenchmark = classifier }+```++```+(time)(Median)+Benchmark streamly(μs) vector(μs)+--------- ------------ ----------+fold 639.96 641.62+map 653.36 638.89+zip 644.33 651.42+```++We can do the same graphically as well, just replace `report` with `graph`+in the code above. Each group is placed as a cluster on the graph. Multiple+clusters are placed side by side (i.e. on the same scale) for easy+comparison. For example:++[](https://github.com/composewell/bench-show/blob/master/docs/grouped-median-time.svg)++## Regression, Percentage Difference and Sorting++We can append benchmarks results from multiple runs to the same file. These+runs can then be compared. We can run benchmarks before and after a change+and then report the regressions by percentage change in a sorted order:++Given a results file with two runs, this code generates the report that+follows:++```haskell+ report "results.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , selectBenchmarks = \f ->+ reverse+ $ map fst+ $ sortBy (comparing snd)+ $ either error id $ f $ ColumnIndex 1+ }+```++```+(time)(Median)(Diff using min estimator)+Benchmark streamly(0)(μs)(base) streamly(1)(%)(-base)+--------- --------------------- ---------------------+zip 644.33 +23.28+map 653.36 +7.65+fold 639.96 -15.63+```++It tells us that in the second run the worst affected benchmark is zip+taking 23.28 percent more time compared to the baseline.++Graphically:++[](https://github.com/composewell/bench-show/blob/master/docs/regression-percent-descending-median-time.svg)++## Full Documentation and examples++* See the [haddock documentation](http://hackage.haskell.org/package/bench-show) on Hackage+* See the [comprehensive tutorial](http://hackage.haskell.org/package/bench-show) module in the haddock docs+* For examples see the [test directory](https://github.com/composewell/bench-show/tree/master/test) in the package++## Contributions and Feedback++Contributions are welcome! Please see the [TODO.md](TODO.md) file or the+existing [issues](https://github.com/composewell/bench-show/issues) if you want+to pick up something to work on.++Any feedback on improvements or the direction of the package is welcome. You+can always send an email to the+[maintainer](https://github.com/composewell/bench-show/blob/master/bench-show.cabal)+or [raise an issue](https://github.com/composewell/bench-show/issues/new) for+anything you want to suggest or discuss, or send a PR for any change that you+would like to make.
+ bench-show.cabal view
@@ -0,0 +1,156 @@+name: bench-show+version: 0.2.0+license: BSD3+author: Harendra Kumar+maintainer: harendra.kumar@gmail.com+bug-reports: https://github.com/composewell/bench-show/issues+synopsis: Show, plot and compare benchmark results+description:+ Generate text reports and graphical charts from benchmark results+ generated by @gauge@ or @criterion@, showing or comparing benchmarks in+ many useful ways. In a few lines of code, we can report time taken, peak+ memory usage, allocations, among many other fields; we can arrange benchmarks+ in groups and compare the groups; we can compare benchmark results before and+ after a change; we can show the difference from baseline in absolute terms or+ as a percentage; we can sort the results by percentage change to get the+ worst affected benchmarks.+ .+ @bench-show@ helps us in answering questions like the following, visually or+ textually:+ .+ * Across two benchmark runs, show all the operations that resulted in a+ regression of more than 10%, so that we can quickly identify and fix+ performance problems in our application.+ * Across two (or more) packages (providing similar functionality), show all+ the operations where the performance differs by more than 10%, so that we+ can critically analyze the packages and choose the right one.+ .+ Quick Start: Use @gauge@ or @criterion@ to generate a @results.csv@ file, and+ then use the following code to generate a textual report or a graph:+ .+ @+ report "results.csv" Nothing defaultConfig+ graph "results.csv" "output" defaultConfig+ @+ .+ For example, you can show can show % regression from a baseline in descending+ order texttually as follows:+ .+ @+ (time)(Median)(Diff using min estimator)+ Benchmark streamly(0)(μs)(base) streamly(1)(%)(-base)+ \--------- --------------------- ---------------------+ zip 644.33 +23.28+ map 653.36 +7.65+ fold 639.96 -15.63+ @+ .+ To show the same graphically:+ .+ <<docs/regression-percent-descending-median-time.svg>>+ .+ See the README and the "BenchShow.Tutorial" module for comprehensive+ documentation.++category: Performance, Benchmarking+homepage: https://github.com/composewell/bench-show+license-file: LICENSE+tested-with: GHC==8.4.3+ , GHC==8.2.2+ , GHC==7.10.3+copyright: 2017, 2018 Composewell Technologies+stability: Experimental+build-type: Simple+cabal-version: 1.18++extra-source-files:+ Changelog.md+ README.md+ stack.yaml+ stack-8.2.yaml+ test/results.csv+ test/results.csvraw+ test/results-doc.csv+ test/results-doc-multi.csv++ docs/full-median-time.svg+ docs/grouped-median-time.svg+ docs/grouped-delta-median-time.svg+ docs/grouped-percent-delta-coeff-time.svg+ docs/grouped-percent-delta-median-time.svg+ docs/grouped-percent-delta-sorted-median-time.svg+ docs/grouped-single-estimator-coeff-time.svg+ docs/regression-percent-descending-median-time.svg++extra-doc-files:+ docs/full-median-time.svg+ docs/grouped-median-time.svg+ docs/grouped-delta-median-time.svg+ docs/grouped-percent-delta-coeff-time.svg+ docs/grouped-percent-delta-median-time.svg+ docs/grouped-percent-delta-sorted-median-time.svg+ docs/grouped-single-estimator-coeff-time.svg+ docs/regression-percent-descending-median-time.svg++source-repository head+ type: git+ location: https://github.com/composewell/bench-show++library+ hs-source-dirs: lib+ exposed-modules: BenchShow+ , BenchShow.Tutorial+ other-modules: BenchShow.Analysis+ , BenchShow.Common+ , BenchShow.Graph+ , BenchShow.Report+ default-language: Haskell2010+ default-extensions:+ OverloadedStrings+ RecordWildCards+ ghc-options: -Wall+ build-depends:+ base >= 4.8 && < 5+ , Chart >= 1.6 && < 2+ , Chart-diagrams >= 1.6 && < 2+ , csv >= 0.1 && < 0.2+ , filepath >= 1.3 && < 1.5+ , mwc-random >= 0.13 && < 0.15+ , directory >= 1.2 && < 1.4+ , transformers >= 0.4 && < 0.6+ , ansi-wl-pprint >= 0.6 && < 0.7+ , split >= 0.2 && < 0.3+ , statistics >= 0.14 && < 0.16+ , vector >= 0.10 && < 0.13++test-suite test+ type: exitcode-stdio-1.0+ default-language: Haskell2010+ default-extensions:+ OverloadedStrings+ RecordWildCards+ hs-source-dirs: test+ main-is: Main.hs+ ghc-options: -Wall++ build-depends:+ bench-show+ , base >= 4.8 && < 5+ , split >= 0.2 && < 0.3+ , text >= 1.1.1 && < 1.3+ -- , typed-process >= 0.1.0.0 && < 0.3++test-suite doc+ type: exitcode-stdio-1.0+ default-language: Haskell2010+ default-extensions:+ OverloadedStrings+ RecordWildCards+ hs-source-dirs: test+ main-is: Doc.hs+ ghc-options: -Wall++ build-depends:+ bench-show+ , base >= 4.8 && < 5+ , split >= 0.2 && < 0.3
+ docs/full-median-time.svg view
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+ lib/BenchShow.hs view
@@ -0,0 +1,100 @@+-- |+-- Module : BenchShow+-- Copyright : (c) 2017-18 Composewell Technologies+--+-- License : BSD3+-- Maintainer : harendra.kumar@gmail.com+-- Stability : experimental+-- Portability : GHC+--+-- BenchShow provides a DSL to quickly generate visual graphs or textual+-- reports from benchmarking results file (CSV) produced by @gauge@ or+-- @criterion@. Reports or graphs can be formatted and presented in many+-- useful ways. For example, we can prepare a graphical bar chart or column+-- wise textual report comparing the performance of two packages or comparing+-- the performance regression in a package caused by a particular change.+-- Absolute or percentage difference between sets of benchmarks can be+-- presented and sorted based on the difference. This+-- allows us to easily identify the worst affected benchmarks and fix them. The+-- presentation is quite flexible and a lot more interesting things can be done+-- with it.+--+-- = Generating Graphs and Reports+--+-- The input is a CSV file generated by @gauge --csv=results.csv@ or a similar+-- output generated by @criterion@. The 'graph' or the 'report' function is+-- invoked on the file with an appropriate 'Config' to control various+-- parameters of graph or report generation. In most cases 'defaultConfig'+-- should just do the job and a specific config may not be required.+--+-- = Fields, Groups and RunIds+--+-- In the documentation when we say @field@ it means a benchmarking field e.g.+-- @time@ or @maxrss@. When we say @group@ it means a group of benchmarks. An+-- input file may have benchmark results collected from multiple runs. By+-- default each run is designated as a single benchmark group with the group+-- name @default@. Benchmark groups from different runs are distinguished+-- using a @runId@ which is the index of the run in the file, starting with 0.+--+-- Benchmarks can be classified into multiple groups using 'classifyBenchmark'.+-- Benchmarks from each run can be divided into multiple groups. In a multi-run+-- input benchmark groups can be fully specified using the groupname (either+-- @default@ or as classified by 'classifyBenchmark') and the+-- runId.+--+-- = Presentation+--+-- We can present the results in a textual format using 'report' or as a+-- graphical chart using 'graph'. Each report consists of a number of+-- benchmarks as rows and the columns can either be benchmarking fields or+-- groups of benchmarks depending on the 'Presentation' setting. In a graphical+-- chart, we present multiple clusters, each cluster representing one column+-- from the textual report, the rows (i.e. the benchmarks) are represented as+-- bars in the cluster.+--+-- When the columns are groups, each report consists of results for a single+-- benchmarking field for different benchmark groups. Using 'GroupStyle', we+-- can further specify how we want to present the results the groups. We can+-- either present absolute values of the field for each group or we can make+-- the first group as a baseline and present differences from the baseline for+-- the subsequent groups.+--+-- When the columns are fields, each report consists of results for a single+-- benchmarking group. Fields cannot be compared like groups because they are+-- of different types and have different measurement units.+--+-- The units in the report are automatically determined based on the minimum+-- value in the range of values present. The ranges for fields can be+-- overridden using 'fieldRanges'.+--+-- = Mean and Max+--+-- In a raw benchmark file (@--csvraw=results.csv@ with @gauge@) we may have+-- data for multiple iterations of each benchmark. BenchShow combines results+-- of all iterations depending on the field type. For example if the field is+-- @time@ it takes the mean of all iterations and if the field is @maxrss@ it+-- takes the maximum of all iterations.+--+-- = Tutorial and Examples+--+-- See the tutorial module "BenchShow.Tutorial" for sample charts and a+-- comprehensive guide to generating reports and graphs. See the @test@+-- directory for many usage examples, run the tests to see the charts generated+-- by these tests.++module BenchShow+ ( GroupStyle(..)+ , Presentation(..)+ , Estimator (..)+ , DiffStrategy (..)+ , SortColumn (..)+ , FieldTick (..)+ , Config(..)+ , defaultConfig+ , report+ , graph+ ) where++import BenchShow.Common+import BenchShow.Graph+import BenchShow.Report
+ lib/BenchShow/Analysis.hs view
@@ -0,0 +1,397 @@+{-# LANGUAGE BangPatterns #-}+{-# LANGUAGE DeriveDataTypeable #-}+{-# LANGUAGE DeriveGeneric #-}+{-# LANGUAGE RecordWildCards #-}+{-# LANGUAGE Trustworthy #-}+{-# LANGUAGE TupleSections #-}+{-# LANGUAGE TypeFamilies #-}++-- |+-- Module : BenchShow.Analysis+-- Copyright : (c) 2009-2014 Bryan O'Sullivan+-- (c) 2018 Composewell Technologies+--+-- License : BSD-style+-- Maintainer : harendra.kumar@gmail.com+-- Stability : experimental+-- Portability : GHC++module BenchShow.Analysis+ ( OutlierEffect(..)+ , OutlierVariance(..)+ , countOutliers+ , Estimator(..)+ , AnalyzedField(..)+ , getAnalyzedValue+ , BenchmarkMatrix(..)+ , BenchmarkIterMatrix(..)+ , foldBenchmark+ , filterSamples+ , isMaxField+ ) where++import Control.Applicative+import Data.Char (toLower)+import Data.Data (Data, Typeable)+import Data.Int (Int64)+import Data.List (elemIndex, transpose)+import Data.Maybe (fromMaybe)+import Data.Traversable+import GHC.Generics (Generic)+import Statistics.Function (sort)+import Statistics.Quantile (weightedAvg)+import Statistics.Regression (bootstrapRegress, olsRegress)+import Statistics.Resampling (resample)+import Statistics.Resampling.Bootstrap (bootstrapBCA)+import Statistics.Sample (mean, stdDev)+import Statistics.Sample.KernelDensity (kde)+import Statistics.Types (Sample, Estimate(..), ConfInt(..), cl95, CL)+import System.Random.MWC (GenIO, createSystemRandom)+import Prelude hiding (sequence, mapM)++import qualified Statistics.Resampling as St+import qualified Data.Vector.Generic as G+import qualified Data.Vector.Unboxed as U++-------------------------------------------------------------------------------+-- Outliers+-------------------------------------------------------------------------------++-- | Outliers from sample data, calculated using the boxplot+-- technique.+data Outliers = Outliers {+ samplesSeen :: !Int64+ , lowSevere :: !Int64+ -- ^ More than 3 times the interquartile range (IQR) below the+ -- first quartile.+ , lowMild :: !Int64+ -- ^ Between 1.5 and 3 times the IQR below the first quartile.+ , highMild :: !Int64+ -- ^ Between 1.5 and 3 times the IQR above the third quartile.+ , highSevere :: !Int64+ -- ^ More than 3 times the IQR above the third quartile.+ } deriving (Eq, Show, Typeable, Data, Generic)++-- | A description of the extent to which outliers in the sample data+-- affect the sample mean and standard deviation.+data OutlierEffect = Unaffected -- ^ Less than 1% effect.+ | Slight -- ^ Between 1% and 10%.+ | Moderate -- ^ Between 10% and 50%.+ | Severe -- ^ Above 50% (i.e. measurements+ -- are useless).+ deriving (Eq, Ord, Show, Typeable, Data, Generic)++outliersEmpty :: Outliers+outliersEmpty = Outliers 0 0 0 0 0++addOutliers :: Outliers -> Outliers -> Outliers+addOutliers (Outliers s a b c d) (Outliers t w x y z) =+ Outliers (s+t) (a+w) (b+x) (c+y) (d+z)+{-# INLINE addOutliers #-}++-- | Analysis of the extent to which outliers in a sample affect its+-- standard deviation (and to some extent, its mean).+data OutlierVariance = OutlierVariance {+ ovEffect :: !OutlierEffect+ -- ^ Qualitative description of effect.+ , ovDesc :: !String+ -- ^ Brief textual description of effect.+ , ovFraction :: !Double+ -- ^ Quantitative description of effect (a fraction between 0 and 1).+ } deriving (Eq, Show, Typeable, Data, Generic)++-- | Classify outliers in a data set, using the boxplot technique.+classifyOutliers :: Sample -> Outliers+classifyOutliers sa = U.foldl' ((. outlier) . addOutliers) outliersEmpty ssa+ where outlier e = Outliers+ { samplesSeen = 1+ , lowSevere = if e <= loS && e < hiM then 1 else 0+ , lowMild = if e > loS && e <= loM then 1 else 0+ , highMild = if e >= hiM && e < hiS then 1 else 0+ , highSevere = if e >= hiS && e > loM then 1 else 0+ }+ !loS = q1 - (iqr * 3)+ !loM = q1 - (iqr * 1.5)+ !hiM = q3 + (iqr * 1.5)+ !hiS = q3 + (iqr * 3)+ q1 = weightedAvg 1 4 ssa+ q3 = weightedAvg 3 4 ssa+ ssa = sort sa+ iqr = q3 - q1++-- | Compute the extent to which outliers in the sample data affect+-- the sample mean and standard deviation.+outlierVariance+ :: Double -- ^ mean+ -> Double -- ^ standard deviation.+ -> Double -- ^ Number of original iterations.+ -> OutlierVariance+outlierVariance µ σ a = OutlierVariance effect desc varOutMin+ where+ µa = µ / a+ µgMin = µa / 2+ σg2 = σg * σg where σg = min (µgMin / 4) (σ / sqrt a)+ σ2 = σ * σ+ varOut c = (ac / a) * (σ2 - ac * σg2) where ac = a - c+ cMax x = fromIntegral (floor (-2 * k0 / (k1 + sqrt det)) :: Int)+ where+ ad = a * d+ where+ d = k * k+ k = µa - x+ k0 = -a * ad+ k1 = σ2 - a * σg2 + ad+ det = k1 * k1 - 4 * σg2 * k0++ minBy f q r = min (f q) (f r)+ varOutMin = if σ2 == 0+ then 0+ else (minBy varOut 1 (minBy cMax 0 µgMin)) / σ2++ (effect, desc) | varOutMin < 0.01 = (Unaffected, "no")+ | varOutMin < 0.1 = (Slight, "slight")+ | varOutMin < 0.5 = (Moderate, "moderate")+ | otherwise = (Severe, "severe")++-- | Count the total number of outliers in a sample.+countOutliers :: Outliers -> Int64+countOutliers (Outliers _ a b c d) = a + b + c + d+{-# INLINE countOutliers #-}++-------------------------------------------------------------------------------+-- Linear regression+-------------------------------------------------------------------------------++useRegression :: Bool+useRegression = True++useBootstrap :: Bool+useBootstrap = True++resampleCount :: Int+resampleCount = 1000++confidence :: CL Double+confidence = cl95++regress+ :: GenIO+ -> Int -- index of the iters field, we return the coefficient of only the+ -- iters field+ -> [String] -- responder column names+ -> [([Double], [Double])]+ -> IO [Maybe (Estimate ConfInt Double, Estimate ConfInt Double)]+regress randGen i rcols samples = do+ -- perform ordinary least squares regression for each field+ -- the main predictor is the number of iterations+ let predVectors = map U.fromList $ transpose $ map fst samples+ regressWithIters = mapM (bootstrapRegress randGen resampleCount+ confidence olsRegress predVectors)++ let avoidMaxFields name vec =+ if isMaxField name+ then Nothing+ else Just vec+ let respVectors = map U.fromList $ transpose $ map snd samples+ res <- mapM regressWithIters (zipWith avoidMaxFields rcols respVectors)+ return $ map (fmap (\(v,r2) -> ((G.toList v) !! i, r2))) res++-------------------------------------------------------------------------------+-- Mean and std deviation by boostrap resampling+-------------------------------------------------------------------------------++estimateMeanAndStdDev+ :: GenIO+ -> [U.Vector Double]+ -> IO [(Estimate ConfInt Double, Estimate ConfInt Double)]+estimateMeanAndStdDev randGen vectors = do+ let resamp = resample randGen [St.Mean, St.StdDev] resampleCount+ res <- mapM resamp vectors+ return $ fmap (\[mn,dev] -> (mn, dev))+ $ getZipList+ $ bootstrapBCA confidence+ <$> ZipList vectors+ <*> ZipList res++-------------------------------------------------------------------------------+-- Statistical analysis of benchmark iterations+-------------------------------------------------------------------------------++-- By default the fields are considered "scaled" fields that is+-- they scale by iterations. However in case of maxrss field it is+-- a max value across the experiment and does not scale by+-- iterations, in this case we just need to take a mean or max+-- without scaling.+isMaxField :: String -> Bool+isMaxField fieldName = map toLower fieldName == "maxrss"++rescaleIteration :: Int -> [String] -> ([Double], [Double]) -> [Double]+rescaleIteration idx rcols (pvals, vals) =+ let iter = pvals !! idx+ in zipWith ($) (map ($ iter) foldFields) vals++ where++ getMeanOrMax fname i val =+ if isMaxField fname+ then val+ else val / i++ foldFields = map getMeanOrMax rcols++data AnalyzedField = AnalyzedField+ { analyzedMean :: !Double+ , analyzedStdDev :: !Double++ , analyzedMedian :: !Double+ , analyzedOutliers :: !Outliers+ , analyzedOutlierVar :: !OutlierVariance+ , analyzedKDE :: !(U.Vector Double, U.Vector Double)++ , analyzedRegCoeff :: Maybe (Estimate ConfInt Double)+ , analyzedRegRSq :: Maybe (Estimate ConfInt Double)+ } deriving Show++-- | The statistical estimator used to arrive at a single value for a+-- benchmark when samples from multiple experiments are available.+--+-- @since 0.2.0+data Estimator =+ Median -- ^ Report the median, outliers and outlier variance using+ -- box-plot method. This is the most robust indicator+ -- with respect to outliers when successive runs of+ -- benchmarks are compared.+ | Mean -- ^ Report the mean and the standard deviation from the+ -- mean. This is less robust than median but more precise.+ | Regression -- ^ Report the coefficient of regression, discarding the+ -- constant factor, arrived at by linear regression using+ -- ordinary least square method. The R-square+ -- goodness-of-fit estimate is also reported. It works+ -- better when larger number of samples are taken. This+ -- cannot be used when the number of samples is less than+ -- 2, in that case a mean value is reported instead.+ deriving (Eq, Show)++getAnalyzedValue :: Estimator -> AnalyzedField -> Double+getAnalyzedValue estimator AnalyzedField{..} =+ case estimator of+ Median -> analyzedMedian+ Mean -> analyzedMean+ Regression ->+ case analyzedRegCoeff of+ Nothing -> analyzedMean+ Just x -> estPoint x++-- | Perform an analysis of a measurement.+analyzeBenchmark :: GenIO+ -> [String]+ -> [String]+ -> [([Double], [Double])]+ -> IO [AnalyzedField]+analyzeBenchmark randGen pcols rcols samples = do+ let sampleCnt = length samples+ i = fromMaybe (error "bug") $ elemIndex "iters" pcols+ vectors = map U.fromList+ $ transpose+ $ map (rescaleIteration i rcols) samples++ (coeffs, r2s) <-+ -- olsRegress fails if there are fewer samples than predictors+ if useRegression && length samples >= (length pcols + 1)+ then do+ let f (Just (x, y)) = (Just x, Just y)+ f Nothing = (Nothing, Nothing)+ fmap (unzip . map f) $ regress randGen i rcols samples+ else do+ let n = length rcols+ return (replicate n Nothing, replicate n Nothing)++ (means, devs) <-+ if useBootstrap+ then do+ (ms, ds) <- fmap unzip $ estimateMeanAndStdDev randGen vectors+ return (map estPoint ms, map estPoint ds)+ else do+ -- Even for max fields (e.g. maxrss) we take the mean+ let ms = map mean vectors+ ds = map stdDev vectors+ return (ms, ds)++ let len = U.length $ head vectors+ median v = (sort v) U.! (len `div` 2)+ medians = map median vectors+ outliers = getZipList $ classifyOutliers <$> ZipList vectors+ outlierVars = getZipList+ $ outlierVariance+ <$> ZipList means+ <*> ZipList devs+ <*> pure (fromIntegral sampleCnt)+ kdes = map (kde 128) vectors++ return $ getZipList $ AnalyzedField+ <$> ZipList means+ <*> ZipList devs++ <*> ZipList medians+ <*> ZipList outliers+ <*> ZipList outlierVars+ <*> ZipList kdes++ <*> ZipList coeffs+ <*> ZipList r2s++-- predictor matrix+data BenchmarkIterMatrix = BenchmarkIterMatrix+ { iterPredColNames :: ![String] -- predictor column names+ , iterRespColNames :: ![String] -- responder column names+ -- (Benchmark, [(predictor columns, responder columns)])+ , iterRowValues :: ![(String, [([Double], [Double])])]+ } deriving Show++-- Stored in row major order+data BenchmarkMatrix = BenchmarkMatrix+ { colNames :: ![String]+ , rowValues :: ![(String, [AnalyzedField])] -- (Benchmark, columns)+ } deriving Show++foldBenchmark :: BenchmarkIterMatrix -> IO BenchmarkMatrix+foldBenchmark BenchmarkIterMatrix{..} = do+ randGen <- createSystemRandom+ rows <- mapM (foldIters randGen) iterRowValues+ return $ BenchmarkMatrix+ { colNames = iterRespColNames+ , rowValues = rows+ }++ where++ foldIters randGen (name, vals) = do+ vals' <- analyzeBenchmark randGen iterPredColNames+ iterRespColNames vals+ return (name, vals')++-- take top samples+-- XXX take equivalent iterations across multiple groups+filterSamples :: BenchmarkIterMatrix -> BenchmarkIterMatrix+filterSamples matrix@BenchmarkIterMatrix{..} =+ matrix+ {-+ {+ iterRowValues = map filterIters iterRowValues+ }++ where++ iterIndex = fromMaybe undefined+ $ elemIndex "iters" (map (map toLower) iterPredColNames)+ nivcswIndex = fromMaybe undefined+ $ elemIndex "nivcsw" (map (map toLower) iterPredColNames)+ filterIters (name, vals) =+ let vals'' = take 50 $ reverse $ sortBy (comparing ((!! iterIndex) . fst)) vals+ let vals' = filter (\(x,_) -> x !! nivcswIndex < 10) vals+ vals'' =+ if null vals'+ then trace "null after filter" vals+ else vals'+ in (name, vals'')+ -}
+ lib/BenchShow/Common.hs view
@@ -0,0 +1,1243 @@+-- |+-- Module : BenchShow.Common+-- Copyright : (c) 2018 Composewell Technologies+--+-- License : BSD3+-- Maintainer : harendra.kumar@gmail.com+-- Stability : experimental+-- Portability : GHC+--++{-# LANGUAGE FlexibleContexts #-}+{-# LANGUAGE RecordWildCards #-}+{-# LANGUAGE TupleSections #-}++module BenchShow.Common+ ( Presentation(..)+ , GroupStyle(..)+ , FieldTick (..)+ , SortColumn (..)+ , RelativeUnit (..)+ , Estimator (..)+ , DiffStrategy (..)+ , Config(..)+ , defaultConfig++ , getFieldRange+ , getFieldTick++ , GroupMatrix(..)+ , prepareGroupMatrices++ , ReportColumn(..)+ , RawReport(..)+ , ReportType(..)+ , diffString+ , makeTitle+ , prepareToReport+ , reportComparingGroups+ , reportPerGroup+ ) where++import Control.Applicative (ZipList(..))+import Control.Arrow (second)+import Control.Exception (assert)+import Control.Monad (when, unless)+import Data.Char (toLower)+import Data.Foldable (foldl')+import Data.Function ((&), on)+import Data.List+ (transpose, groupBy, (\\), find, sortBy, elemIndex, intersect,+ intersectBy)+import Data.List.Split (linesBy)+import Data.Maybe (fromMaybe, mapMaybe)+import Data.Ord (comparing)+import Debug.Trace (trace)+import Statistics.Types (Estimate(..), ConfInt(..))+import System.Directory (createDirectoryIfMissing)+import System.FilePath ((</>))+import Text.CSV (CSV, parseCSVFromFile)+import Text.Read (readMaybe)++import BenchShow.Analysis++-------------------------------------------------------------------------------+-- Utilities+-------------------------------------------------------------------------------++filterSanity :: (Eq a, Show a) => String -> [a] -> [a] -> IO ()+filterSanity label old new = do+ let added = new \\ old++ when (null new) $ error $+ label ++ " must select at least one item from the list: "+ ++ show old++ unless (null added) $ error $+ label +++ " must not add any new items to the original list. The \+ \following items were added: " ++ show added++-------------------------------------------------------------------------------++data ReportType = TextReport | GraphicalChart++-- | How to show the results for multiple benchmark groups presented in columns+-- or bar chart clusters.+--+-- @since 0.2.0+data GroupStyle =+ Absolute -- ^ Show absolute field values for all groups+ | Diff -- ^ Show baseline group values as usual and values for+ -- the subsequent groups as differences from the baseline+ | Percent -- ^ Show baseline group values as 100% and values for+ -- subsequent groups as a percentage of the baseline+ | PercentDiff -- ^ Show baseline group values as usual and values for+ -- subsequent groups as precentage difference from the+ -- baseline+ deriving (Eq, Show)++-- | How to present the reports or graphs. Each report presents a number of+-- benchmarks as rows, it may have, (1) a single column presenting the values+-- for a single field, (2) multiple columns presenting values for different+-- fields, or (3) multiple columns presenting values of the same field for+-- different groups.+--+-- @since 0.2.0+data Presentation =+ Solo -- ^ Reports are generated for each group and for+ -- each field selected by the configuration. Each+ -- report presents benchmarks in a single group with a+ -- single column presenting a single field. If there+ -- are @m@ fields and @n@ groups selected by the+ -- configuration then a total of @m x n@ reports are+ -- generated. Output files are named using+ -- @-estimator-groupname-fieldname@ as suffix.+ | Groups GroupStyle -- ^ One report is generated for each field selected by+ -- the configuration. Each report presents a field+ -- with all the groups selected by the configuration as+ -- columns or clusters. Output files are named using+ -- @-estimator-fieldname@ as suffix.+ | Fields -- ^ One report is generated for each group selected by+ -- the configuration. Each report presents a group+ -- with all the fields selected by the configuration as+ -- columns or clusters. Output files are named using+ -- @-estimator-groupname@ as suffix.+ deriving (Eq, Show)++-- | FieldTick is used only in visual charts to generate the major ticks on+-- the y-axis. You can specify either the size of a tick ('TickSize') or the+-- total number of ticks ('TickCount').+--+-- @since 0.2.0+data FieldTick =+ TickSize Int -- ^ Size of a tick, the unit is microseconds for time+ -- fields, and bytes for space fields.+ | TickCount Int -- ^ Total number of ticks in the range spread.++-- | When sorting and filtering the benchmarks using 'selectBenchmarks' we can+-- choose a column as a sort criterion. 'selectBenchmarks' is provided with+-- the data for the corresponding column which can be used for sorting the+-- benchmarks. The column could be a group or a field depending on the+-- 'Presentation'.+--+-- @since 0.2.0+data SortColumn =+ ColumnIndex Int -- ^ Specify the index of the sort column. Index 0+ -- corresponds to the first @value@ column. In a textual report, the+ -- very first column consists of benchmark names, therefore index 0+ -- addresses the second column of the report.+ | ColumnName (Either String (String, Int)) -- ^ Specify the column using+ -- the name of the group or the field it represents, and the @runId@.+ -- When just the name is enough to uniquely identify the sort column+ -- the 'Left' constructor can be used, otherwise the 'Right'+ -- constructor is used which can use the @runId@ to disambiguate. In a+ -- 'Fields' presentation, just the field name is enough. In a 'Groups'+ -- presentation, when there is a single benchmark run in the input+ -- file, just the group name is enough to identify the group, the+ -- @runId@ defaults to 0. However, when there are multiple runs, a+ -- group needs to specify a @runId@ as well.++-- | Strategy to compute the difference between two groups of benchmarks being+-- compared.+--+-- @since 0.2.0+data DiffStrategy =+ SingleEstimator -- ^ Use a single estimator to compute the difference+ -- between the baseline and the candidate. The estimator+ -- that is provided in the 'Config' is used.+ | MinEstimator -- ^ Use 'Mean', 'Median' and 'Regression' estimators for+ -- both baseline and candidate, and report the estimator+ -- that shows the minimum difference. This is more robust+ -- against random variations.+ {-+ | WorstBest+ | BestBest+ -}++-- | Configuration governing generation of chart. See 'defaultConfig' for the+-- default values of these fields.+--+-- @since 0.2.0+data Config = Config+ {+ -- | Provide more details in the report, especially the standard deviation,+ -- outlier variance, R-square estimate and an annotation to indicate the+ -- actual method used when using 'MinEstimator' are reported.+ verbose :: Bool++ -- | The directory where the output graph or report file should be placed.+ , outputDir :: Maybe FilePath++ -- | Report title, more information like the plotted field name or+ -- the presentation style may be added to it.+ , title :: Maybe String++ -- | How to determine the layout of the report or the chart.+ , presentation :: Presentation++ -- | The estimator used for the report.+ , estimator :: Estimator++ -- | The minimum percentage difference between two runs of a benchmark+ -- beyond which the benchmark is flagged to have regressed or improved.+ , threshold :: Word++ -- | Strategy to compare two runs or groups of benchmarks.+ , diffStrategy :: DiffStrategy++ ---------------------------------------------------------------------------+ -- Fields (Columns)+ ---------------------------------------------------------------------------++ -- | Filter and reorder the benchmarking fields. It is invoked with a list+ -- of all available benchmarking fields. Only those fields present in the+ -- output of this function are plotted and in that order.+ , selectFields :: [String] -> [String]++ -- | The values in the tuple are @(fieldName, RangeMin, RangeMax)@.+ -- Specify the min and max range of benchmarking fields. If the field+ -- value is outside the range it is clipped to the range limit.+ -- For time fields, the range values are in microseconds, and for space+ -- fields they are in bytes. The minimum of the range is used to determine+ -- the unit for the field.+ , fieldRanges :: [(String, Double, Double)]++ -- | The values in the tuple are @(fieldName, tick)@. Specify the+ -- tick size of the fields to be used for the graphical reports.+ , fieldTicks :: [(String, FieldTick)]++ ---------------------------------------------------------------------------+ -- Groups (Row Grouping)+ ---------------------------------------------------------------------------++ -- | Filter, group and translate benchmark names. This function is invoked+ -- once for all benchmark names found in the results. It produces a tuple+ -- @(groupname, benchname)@, where @groupname@ is the name of the group the+ -- benchmark should be placed in, and @benchname@ is the translated+ -- benchmark name to be used in the report. If it returns 'Nothing' for a+ -- benchmark, that benchmark is omitted from the results.+ , classifyBenchmark :: String -> Maybe (String, String)++ -- | Filter and reorder the benchmark group names. A benchmark group may be+ -- assigned using 'classifyBenchmark'; when not assigned, all benchmarks+ -- are placed in the @default@ group. The input to this function is a list+ -- of tuples with benchmark group names and the @runId@s. The output+ -- produced by this function is a filtered and reordered subset of the+ -- input. Only those benchmark groups present in the output are rendered+ -- and are presented in that order.+ , selectGroups :: [(String, Int)] -> [(String, Int)]++ ---------------------------------------------------------------------------+ -- Benchmarks (Rows)+ ---------------------------------------------------------------------------++ -- | Filter and reorder benchmarks. 'selectBenchmarks' is provided with a+ -- function which is invoked with a sorting column name or index, the+ -- function produces the benchmark names and corresponding values for that+ -- column which can be used as a sorting criterion. The output of+ -- 'selectBenchmarks' is a list of benchmarks in the order in which they+ -- are to be rendered.+ , selectBenchmarks+ :: (SortColumn -> Either String [(String, Double)])+ -> [String]+ }++-- | Default configuration. Use this as the base configuration and modify the+-- required fields. The defaults are:+--+-- @+-- verbose = False+-- title = Nothing+-- outputDir = Nothing+-- presentation = Groups Absolute+-- estimator = Median+-- threshold = 3+-- diffStrategy = MinEstimator+-- selectFields = filter (flip elem ["time", "mean", "maxrss"] . map toLower)+-- fieldRanges = []+-- fieldTicks = []+-- classifyBenchmark = Just . ("default",)+-- selectGroups = id+-- selectBenchmarks = \f -> either error (map fst) $ f (ColumnIndex 0)+-- @+--+-- @since 0.2.0+defaultConfig :: Config+defaultConfig = Config+ { verbose = False+ , title = Nothing+ , outputDir = Nothing+ , presentation = Groups Absolute+ , estimator = Median+ , threshold = 3+ , diffStrategy = MinEstimator+ , selectFields = filter (flip elem ["time", "mean", "maxrss"] . map toLower)+ , fieldRanges = []+ , fieldTicks = []+ , classifyBenchmark = Just . ("default",)+ , selectGroups = id+ , selectBenchmarks = \f -> either error (map fst) $ f (ColumnIndex 0)+ }++-------------------------------------------------------------------------------+-- Benchmarking field types+-------------------------------------------------------------------------------++timeFields :: [String]+timeFields = map (map toLower)+ [ "time"+ , "mean"+ , "cpuTime"+ , "utime"+ , "stime"+ , "mutatorWallSeconds"+ , "mutatorCpuSeconds"+ , "gcWallSeconds"+ , "gcCpuSeconds"+ ]++isTimeField :: String -> Bool+isTimeField fieldName = map toLower fieldName `elem` timeFields++allocFields :: [String]+allocFields = map (map toLower) ["allocated", "bytesCopied", "maxrss"]++isAllocationField :: String -> Bool+isAllocationField fieldName = map toLower fieldName `elem` allocFields++predictorFields :: [String]+predictorFields = map (map toLower)+ [ "iters"+ -- , "minflt"+ -- , "majflt"+ -- , "nvcsw"+ -- , "nivcsw"+ ]++isPredictorField :: String -> Bool+isPredictorField fieldName = map toLower fieldName `elem` predictorFields++-------------------------------------------------------------------------------+-- Units+-------------------------------------------------------------------------------++-- | Describe a relative unit i.e. a unit in terms of another unit. A relative+-- unit has a label and a ratio which when multiplied with the unit gives us+-- the other unit. For example, if the known time unit is seconds, we can+-- describe a millisecond as @Unit "ms" (1/1000)@.+data RelativeUnit = RelativeUnit String Double deriving Show++getTimeUnit :: Double -> RelativeUnit+getTimeUnit k+ | k < 0 = getTimeUnit (-k)+ | k >= 1 = RelativeUnit "s" 1+ | k >= 1e-3 = RelativeUnit "ms" 1e-3+ | k >= 1e-6 = RelativeUnit "μs" 1e-6+ | otherwise = RelativeUnit "ns" 1e-9++getSpaceUnit :: Double -> RelativeUnit+getSpaceUnit k+ | k < 0 = getSpaceUnit (-k)+ | k >= 2^(30 ::Int) = RelativeUnit "GiB" (2^(30 :: Int))+ | k >= 2^(20 ::Int) = RelativeUnit "MiB" (2^(20 :: Int))+ | k >= 2^(10 ::Int) = RelativeUnit "KiB" (2^(10 :: Int))+ | otherwise = RelativeUnit "Bytes" 1++getUnitByFieldName :: String -> Double -> RelativeUnit+getUnitByFieldName fieldName fieldMin =+ case isTimeField fieldName of+ True -> getTimeUnit fieldMin+ False -> case isAllocationField fieldName of+ True -> getSpaceUnit fieldMin+ False -> RelativeUnit "" 1++-- returns (multiplier, units)+fieldUnits :: String -> Double -> GroupStyle -> RelativeUnit+fieldUnits fieldName fieldMin style =+ case style of+ Percent -> RelativeUnit "%" 1+ PercentDiff -> RelativeUnit "%" 1+ _ -> getUnitByFieldName fieldName fieldMin++-------------------------------------------------------------------------------+-- Comparison+-------------------------------------------------------------------------------++absoluteDiff :: Num a => a -> a -> a+absoluteDiff v1 v2 = v2 - v1++percentDiff :: (Fractional a, Num a) => a -> a -> a+percentDiff v1 v2 = ((v2 - v1) * 100) / v1++percent :: (Fractional a, Num a) => a -> a -> a+percent v1 v2 = (v2 * 100) / v1++cmpTransformColumns :: ReportType+ -> GroupStyle+ -> Estimator+ -> DiffStrategy+ -- XXX we do not really need the benchmark name here+ -> [[(String, AnalyzedField)]]+ -> (Maybe [[Estimator]], [[(String, Double)]])+cmpTransformColumns rtype style estimator diffStrategy cols =+ let cmpWith diff =+ let firstCol = head columns+ colTransform col =+ let mkDiff (n1, v1) (n2,v2) =+ verify (n1 == n2) (n2, diff v1 v2)+ in zipWith mkDiff firstCol col+ in map colTransform (tail columns)++ cmpMinWith diff =+ let firstCol = head cols+ colTransform col = zipWith (mkMinDiff diff) firstCol col+ in map colTransform (tail cols)+ in case style of+ Absolute -> (Nothing, columns)+ Percent -> (Nothing, cmpWith percent)+ Diff ->+ case diffStrategy of+ MinEstimator ->+ let (ests, vals) = unzip $ map unzip (cmpMinWith absoluteDiff)+ in ( Just $ map (const estimator) (head cols) : ests+ , head columns : vals+ )+ SingleEstimator ->+ (Nothing, head columns : cmpWith absoluteDiff)+ PercentDiff ->+ -- In a comparative graphical chart we cannot show the absolute+ -- values in the baseline column as the units won't match for+ -- the baseline and the diff clusters.+ let baseCol =+ case rtype of+ TextReport -> head columns+ GraphicalChart | length columns == 1 ->+ head columns+ GraphicalChart ->+ map (\(n,_) -> (n,100)) (head columns)+ in case diffStrategy of+ MinEstimator ->+ let (ests, vals) = unzip $ map unzip (cmpMinWith percentDiff)+ in ( Just $ map (const estimator) (head cols) : ests+ , baseCol : vals+ )+ SingleEstimator ->+ (Nothing, baseCol : cmpWith percentDiff)+ where+ verify a b = if a then b else error "bug: benchmark names mismatch"+ transformVals = map (map (second (getAnalyzedValue estimator)))+ columns = transformVals cols++ -- Find which estimator gives us the minimum diff+ mkMinDiff diff (n1, v1) (n2,v2) = verify (n1 == n2) $+ let meanDiff = diff (getAnalyzedValue Mean v1)+ (getAnalyzedValue Mean v2)+ medDiff = diff (getAnalyzedValue Median v1)+ (getAnalyzedValue Median v2)+ regDiff = diff (getAnalyzedValue Regression v1)+ (getAnalyzedValue Regression v2)+ in if abs medDiff <= abs meanDiff+ then if abs medDiff <= abs regDiff+ then (Median, (n2, medDiff))+ else (Regression, (n2, regDiff))+ else if abs meanDiff <= abs regDiff+ then (Mean, (n2, meanDiff))+ else (Regression, (n2, regDiff))++transformColumnNames :: GroupStyle -> [ReportColumn] -> [ReportColumn]+transformColumnNames _ [] = []+transformColumnNames style columns@(h:t) =+ let withDiff = colSuffix baseName h : map (colSuffix diffName) t+ in case style of+ Diff | length columns > 1 -> withDiff+ PercentDiff | length columns > 1 -> withDiff+ _ -> columns++ where+ colSuffix xl col = col { colName = xl (colName col) }+ baseName = (++ "(base)")+ diffName = (++ "(-base)")++-- Represents the data for a single benchmark run+data GroupMatrix = GroupMatrix+ { groupIndex :: Int+ , groupName :: String+ , groupBenches :: [(String, String)] -- (newname, origname)+ , groupMatrix :: BenchmarkMatrix+ } deriving Show++-- Each run may be split into multiple groups of benchmarks. Benchmarks can be+-- renamed by the classifier. Sanity checks:+-- Two original benchmarks cannot map to the same target benchmark+--+-- When using a comparative style report, after filtering and sorting:+-- Same original benchmark cannot belong to multiple groups+-- All groups must have exactly the same benchmark names+splitGroup :: (String -> Maybe (String, String))+ -> (Int, BenchmarkMatrix)+ -> [GroupMatrix]+splitGroup classify (serial, matrix@BenchmarkMatrix{..}) =+ mapMaybe (\x -> fmap (,x) $ classify x) (map fst rowValues)+ & sortBy (comparing (fst . fst))+ & groupBy ((==) `on` (fst . fst))+ & map (foldr foldGroup ("",[]))+ & map sanityCheckGroup+ & map (\(name, benches) ->+ GroupMatrix+ { groupIndex = serial+ , groupName = name+ , groupBenches = benches+ , groupMatrix = matrix+ })++ where++ foldGroup ((grp, bench), srcBench) (_, tuples) =+ (grp, (bench, srcBench) : tuples)++ sanityCheckGroup orig@(grp, tuples) =+ let duplicated =+ sortBy (comparing fst) tuples+ & groupBy ((==) `on` fst)+ & filter ((>1) . length)+ in if not $ null duplicated+ then+ let msg = unlines (map show duplicated)+ in error $ "Two benchmarks must not map to the same target \+ \benchmark. Please check your 'classifyBenchmark' operation. \+ \In group " ++ show grp ++ ", the following target benchmarks \+ \are mapped to more than one source benchmarks:\n" ++ msg+ else orig++-------------------------------------------------------------------------------+-- sort the benchmark groups+-------------------------------------------------------------------------------++findGroup :: [GroupMatrix] -> (String, Int) -> Maybe GroupMatrix+findGroup matrices (name, i) =+ find (\x -> groupName x == name && groupIndex x == i) matrices++sortGroups :: Config -> [GroupMatrix] -> IO [GroupMatrix]+sortGroups Config{..} matrices = do+ let origGroups = map (\x -> (groupName x, groupIndex x)) matrices+ newGroups = selectGroups origGroups++ filterSanity "selectGroups" origGroups newGroups+ return $ mapMaybe (findGroup matrices) newGroups++-------------------------------------------------------------------------------+-- sort the benchmarks+-------------------------------------------------------------------------------++extractColumn :: String -> GroupMatrix -> [(String, AnalyzedField)]+extractColumn field GroupMatrix{..} =+ let idx = elemIndex field (colNames groupMatrix)+ vals = case idx of+ Just i -> map (!! i) (map snd (rowValues groupMatrix))+ Nothing -> error $ "Field [" ++ field+ ++ "] does not exist in group ["+ ++ groupName ++ "] and run id [" ++ show groupIndex ++ "]"+ in zip (map fst groupBenches) vals++extractColumnValue :: String -> GroupMatrix -> Estimator -> [(String, Double)]+extractColumnValue field matrix estimator =+ map (second (getAnalyzedValue estimator)) $ extractColumn field matrix++benchmarkCompareSanity :: [String] -> GroupMatrix -> [String]+benchmarkCompareSanity benchmarks GroupMatrix{..} = do+ let benches = map fst groupBenches+ let absent = benchmarks \\ benches+ let msg =+ "selectBenchmarks: Group [" ++ groupName ++ "] run id ["+ ++ show groupIndex+ ++ "] does not contain the following selected benchmarks; \+ \ignoring them: " ++ show absent+ ++ "\nAvailable benchmarks in this group are: "+ ++ show benches++ if (null absent)+ then benchmarks+ else trace msg (benchmarks \\ absent)++selectBenchmarksByField :: Config+ -> [GroupMatrix]+ -> [[(String, Double)]]+ -> [String]+selectBenchmarksByField Config{..} matrices columns =+ let bmnames = selectBenchmarks extractGroup+ in if (null bmnames)+ then error $ "selectBenchmarks must select at least one benchmark"+ else+ -- XXX instead of matrices we can just use columns here+ let xs = foldl benchmarkCompareSanity bmnames matrices+ in if (null xs)+ then error $ "selectBenchmarks: none of the selected benchmarks "+ ++ show bmnames+ ++ " is common to all the benchmark groups "+ ++ show grpNames+ else xs++ where++ grpNames =+ let getName x = (groupName x, groupIndex x)+ in map getName matrices++ -- columns are benchmark groups in this case+ extractGroup (ColumnName (Left name)) =+ let len = length columns+ in if len <= 1+ then extractGroup $ ColumnName (Right (name, 0))+ else Left $ "selectBenchmarks: there are " ++ show len+ ++ " runs in the input data, please specify the run \+ \index [0-" ++ show (len - 1)+ ++ "] along with the group name."+ extractGroup (ColumnName (Right (name, runId))) =+ extractColumnByGroupName name runId+ extractGroup (ColumnIndex n) = extractColumnByGroupIndex n++ -- The benchmark field is constant. Extract all benchmark values for the+ -- given field and for the given group.+ findColumnIndex mxs (name, runId) =+ let foldFunc res@(idx, found) grp =+ case found of+ False ->+ if groupName grp == name && groupIndex grp == runId+ then (idx, True)+ else (idx + 1, found)+ True -> res+ in foldl foldFunc (0, False) mxs++ extractColumnByGroupName name runId =+ case findColumnIndex matrices (name, runId) of+ (_, False) -> Left $ "Benchmark group name [" ++ name+ ++ "] and index [" ++ show runId+ ++ "] not found. Available groups are: "+ ++ show grpNames+ (i, True) -> extractGroup (ColumnIndex i)++ extractColumnByGroupIndex idx =+ let len = length columns+ in if idx >= len+ then Left $ "Column index must be in the range [0-"+ ++ show (len - 1) ++ "]"+ else Right $ columns !! idx++selectBenchmarksByGroup :: Config -> GroupMatrix -> [String]+selectBenchmarksByGroup Config{..} grp@GroupMatrix{..} =+ -- XXX this is common to ByField and ByGroup+ let bmnames = selectBenchmarks extractField+ in if (null bmnames)+ then error $ "selectBenchmarks must select at least one benchmark"+ else bmnames++ where++ -- columns are benchmark fields in this case+ extractField (ColumnName (Left name)) = extractColumnByFieldName name+ extractField (ColumnName (Right (name, _))) =+ -- XXX runId does not make sense for fields+ extractColumnByFieldName name+ extractField (ColumnIndex n) = extractColumnByFieldIndex n++ -- The benchmark field is constant. Extract all benchmark values for the+ -- given field and for the given group.+ extractColumnByFieldName name =+ let fields = colNames groupMatrix+ in case elem name fields of+ False -> Left $ "Benchmark field name [" ++ name+ ++ "] not found in group ["+ ++ groupName ++ "]. Available fields are: "+ ++ show fields+ True -> Right $ extractColumnValue name grp estimator++ extractColumnByFieldIndex idx =+ let fields = colNames groupMatrix+ len = length fields+ in if idx >= len+ then Left $ "Column index must be in the range [0-"+ ++ show (len - 1) ++ "]"+ else Right $ extractColumnValue (fields !! idx) grp estimator++type NumberedLines = [(Int, [String])]++sanityCheckCSV :: CSV -> NumberedLines+sanityCheckCSV csvlines | null csvlines = error $ "The input file is empty"+sanityCheckCSV csvlines =+ let headRow = head csvlines+ rowLen = length headRow+ in if not $ "name" `elem` map (map toLower) headRow+ then error "No 'Name' column found in the CSV header line"+ else+ -- Add line numbers for error reporting+ zip [1..] csvlines+ -- cleanup blank rows+ & filter (\(_,xs) -> xs /= [""])++ -- make sure all lines are of the same size, So that we can transpose+ -- back and forth without losing information.+ & map (\x@(i,xs) ->+ if length xs == rowLen+ then x+ else error $ "Line number " ++ show i+ ++ " in the input file is not of the same length as\+ \ the header line"+ )++-- An iteration field indicates that consecutive rows with the same benchmark+-- name have results from different iterations of the same benchmark and the+-- measurement fields have to be scaled per iteration based on the number of+-- iterations in the iteration count field.+--+-- Make sure that "iters" and "name" are the first and second columns+ensureIterField :: ([String], [NumberedLines]) -> ([String], [NumberedLines])+ensureIterField (header, groups) =+ ( "iters" : "name" : filter isNotNameIter header+ , map reorderNameIter groups+ )++ where++ isNotNameIter x =+ map toLower x /= "name"+ && map toLower x /= "iters"++ notNameIters [] = True+ notNameIters (x:_) = isNotNameIter x++ nameNotFound = error "Name field is required in the csv file"++ reorderNameIter csvlines =+ unzip csvlines+ & second (header :)+ & second transpose+ & second reorder+ & second transpose+ & uncurry zip++ where++ reorder xs =+ let findField x = find (\(y:_) -> map toLower y == x)+ iterCol = replicate (length (head xs) - 1) "1"+ in fromMaybe iterCol (fmap tail $ findField "iters" xs)+ : fromMaybe nameNotFound (fmap tail $ findField "name" xs)+ : map tail (filter notNameIters xs)++-- Only keep those fields that are passed to this function+-- Also, preserve any predictor fields for regression analysis+filterFields :: [String] -> BenchmarkIterMatrix -> BenchmarkIterMatrix+filterFields fieldNames BenchmarkIterMatrix{..} =+ BenchmarkIterMatrix+ { iterPredColNames = ["iters"] ++ filter isPredictorField iterRespColNames+ , iterRespColNames = filter isRequestedField iterRespColNames+ , iterRowValues = transform iterRowValues+ }++ where++ transform :: [(String, [([Double], [Double])])] -> [(String, [([Double], [Double])])]+ transform = map (\(name, tuples) ->+ let (ys, zs) = unzip tuples+ pcols = transpose (map Left iterPredColNames : map (map Right) ys)+ rcols = transpose (map Left iterRespColNames : map (map Right) zs)+ pcols' = pcols ++ filter isPredictor rcols+ rcols' = filter requested rcols+ pcols'' = map (map fromRt) $ tail $ transpose pcols'+ rcols'' = map (map fromRt) $ tail $ transpose rcols'+ in (name, zip pcols'' rcols''))++ fromRt (Right x) = x+ fromRt _ = error "bug"++ isRequestedField = (`elem` fieldNames)++ requested [] = True+ requested (Left x:_) = isRequestedField x+ requested _ = error "bug"++ isPredictor [] = True+ isPredictor (Left x:_) = isPredictorField x+ isPredictor _ = error "bug"++-- Split the file into different runs+-- return the header fields and list of runs without the header+splitRuns :: NumberedLines -> ([String], [NumberedLines])+splitRuns csvlines =+ let header = snd $ head csvlines+ ls = linesBy (\x -> snd x == header) (tail csvlines)+ in (header, ls)++readWithError :: Read a => Int -> String -> (String, String) -> a+readWithError lno typ (fname, fval) =+ case readMaybe fval of+ Nothing -> error $ "Cannot read " ++ show fname+ ++ " field [" ++ show fval ++ "] as "+ ++ typ ++ " type at line number "+ ++ show lno+ Just n -> n++-- An iteration field indicates that consecutive rows with the same benchmark+-- name have results from different iterations of the same benchmark and the+-- measurement fields have to be scaled per iteration based on the number of+-- iterations in the iteration count field.+--+-- If the first column is iteration then fold all iterations and remove the+-- iteration column.+readIterations :: [String] -> NumberedLines -> BenchmarkIterMatrix+readIterations header csvlines =+ let tuples =+ map (parseNumericFields header) csvlines+ -- we now have a list of triples [(iter, name, (fieldName, [Double])]+ & groupBy successiveIters+ & map (foldl' addIters ("",[]))+ in BenchmarkIterMatrix+ { iterPredColNames = ["iters"]+ , iterRespColNames = drop 2 header+ , iterRowValues = tuples+ }++ where++ -- The first column is iters and the second is the name+ -- We zip the header for error reporting+ parseNumericFields hdr (lno, vals) = parseNumericTuples lno $ zip hdr vals++ parseNumericTuples lno (iter:(_,name):xs) =+ (readWithError lno "Int" iter :: Int+ , name+ , map (\x@(n,_) -> (n, readWithError lno "Double" x)) xs+ :: [(String, Double)]+ )+ parseNumericTuples _ _ = error "iters and name fields are needed"++ successiveIters (i1,name1,_) (i2,name2,_) = name2 == name1 && i2 > i1++ addIters (_,siters) (iter,name,vals) =+ (name, ([fromIntegral iter], map snd vals) : siters)++getFieldRange :: String -> Config -> Maybe (Double, Double)+getFieldRange fieldName Config{..} =+ let res = find (\(x, _, _) -> x == fieldName) fieldRanges+ in case res of+ Nothing -> Nothing+ Just (_, x, y) -> Just (x, y)++getFieldTick :: String -> Config -> Maybe FieldTick+getFieldTick fieldName Config{..} =+ fmap snd $ find (\x -> fst x == fieldName) fieldTicks++getReportExtension :: ReportType -> String+getReportExtension rtype =+ case rtype of+ TextReport -> ".txt"+ GraphicalChart -> ".svg"++prepareOutputFile :: FilePath -> ReportType -> FilePath -> Estimator -> String -> IO FilePath+prepareOutputFile dir rtype file est field = do+ let estStr = case est of+ Mean -> "mean"+ Median -> "median"+ Regression -> "coeff"+ let path = dir </> (file ++ "-" ++ estStr ++ "-" ++ field+ ++ getReportExtension rtype)+ return path++prepareToReport :: FilePath -> Config -> IO (CSV, [String])+prepareToReport inputFile Config{..} = do+ case outputDir of+ Nothing -> return ()+ Just dir -> createDirectoryIfMissing True dir+ -- We assume the dataset is not big and therefore take liberties to process+ -- in a non-streaming fashion.+ csvData <- parseCSVFromFile inputFile+ case csvData of+ Left e -> error $ show e+ Right csvlines -> do+ when (null csvlines) $ error $ "The input file ["+ ++ show inputFile ++ "] is empty"+ let allFields = head csvlines+ fields = selectFields allFields+ filterSanity "selectFields" allFields fields+ let filt x = notElem (map toLower x) ["name", "iters"]+ return (csvlines, filter filt fields)++-- Keep only those benchmarks that belong to the group.+filterGroupBenchmarks :: [GroupMatrix] -> IO [GroupMatrix]+filterGroupBenchmarks matrices = return $ map filterMatrix matrices+ where+ filterMatrix matrix =+ -- XXX make sure there are no duplicates+ let m = groupMatrix matrix+ vals = map (\(new,old) ->+ (new, fromMaybe (error "bug") $ lookup old (rowValues m)))+ (groupBenches matrix)+ in matrix {groupMatrix = m {rowValues = vals}}++_filterCommonSubsets :: [BenchmarkIterMatrix] -> [BenchmarkIterMatrix]+_filterCommonSubsets matrices =+ let commonPreds =+ let initPreds = matrixPreds $ head matrices+ in foldl' intersectPreds initPreds (tail matrices)+ in map (isectCommonPreds commonPreds) matrices++ where++ pcols = iterPredColNames $ head matrices++ cmpPred name v1 v2 =+ case map toLower name of+ "iters" -> v1 == v2+ "nivcsw" -> v1 == v2+ _ -> v1 == v2++ isectBench (name1, preds1) (name2, preds2) =+ let isect row1 row2 = all id $ zipWith3 cmpPred pcols row1 row2+ in assert (name1 == name2) $ (name1, intersectBy isect preds1 preds2)++ matrixPreds = map (second (map fst)) . iterRowValues++ intersectPreds preds matrix = zipWith isectBench preds (matrixPreds matrix)++ isectRows (name1, preds1) (name2, xs) =+ let isect row1 = find (\(x,_) -> all id+ $ zipWith3 cmpPred pcols row1 x) xs+ in assert (name1 == name2) $ (name1, mapMaybe isect preds1)++ isectCommonPreds preds matrix@BenchmarkIterMatrix{..} =+ matrix+ { iterRowValues = zipWith isectRows preds iterRowValues+ }++-- when comparing make sure all groups have same benchmarks and sort the other+-- ones based on the first column so that they are all in the same order.+selectCommon :: [GroupMatrix] -> IO [GroupMatrix]+selectCommon matrices =+ let commonBenches =+ let initBenches = map fst $ groupBenches $ head matrices+ in foldl' intersectBenches initBenches (tail matrices)+ in mapM (isectCommonBenches commonBenches) matrices++ where++ intersectBenches benches matrix =+ intersect benches (map fst $ groupBenches matrix)++ isectCommonBenches benches matrix@GroupMatrix{..} = do+ let absent = map fst groupBenches \\ benches+ msg =+ "Removing exclusive benchmarks " ++ show absent+ ++ " from column [" ++ groupName+ ++ "] run id [" ++ show groupIndex+ lookupBench x = lookup x groupBenches+ findBench x = (x, fromMaybe undefined (lookupBench x))+ newBenches = map findBench benches++ unless (null absent) $ putStrLn msg+ return matrix { groupBenches = newBenches }++prepareGroupMatrices :: Config -> CSV -> [String] -> IO (Int, [GroupMatrix])+prepareGroupMatrices cfg@Config{..} csvlines fields = do+ let (hdr, runs) =+ sanityCheckCSV csvlines+ & splitRuns+ & ensureIterField+ xs <- sequence $ map (readIterations hdr) runs+ & map (filterFields fields)+ -- & _filterCommonSubsets+ -- & map filterSamples+ & map foldBenchmark++ zip [0..] xs+ & map (splitGroup classifyBenchmark)+ & concat+ & sortGroups cfg+ >>= selectCommon+ >>= filterGroupBenchmarks+ >>= return . (length runs,)++-- XXX display GHC version as well+-- XXX display the OS/arch+-- XXX display compiler/RTS options as well e.g. -threaded and -N+-- This data should be in the measurement data++data ReportColumn = ReportColumn+ { colName :: String+ , colUnit :: RelativeUnit+ , colValues :: [Double]+ } deriving Show++-- XXX put reportAnalyzed in reportColumns+data RawReport = RawReport+ { reportOutputFile :: Maybe FilePath+ , reportIdentifier :: String+ , reportRowIds :: [String]+ , reportColumns :: [ReportColumn]+ , reportAnalyzed :: [[AnalyzedField]]+ , reportEstimators :: Maybe [[Estimator]]+ } deriving Show++getFieldMin :: Config -> Double -> String -> Double+getFieldMin cfg minval fieldName =+ case getFieldRange fieldName cfg of+ Nothing -> minval+ Just (minr, _) -> minr++scaleAnalyzedField :: RelativeUnit -> AnalyzedField -> AnalyzedField+scaleAnalyzedField (RelativeUnit _ mult) AnalyzedField{..} =+ AnalyzedField+ { analyzedMean = analyzedMean / mult+ , analyzedStdDev = analyzedStdDev / mult++ , analyzedMedian = analyzedMedian / mult+ , analyzedOutliers = analyzedOutliers+ , analyzedOutlierVar = analyzedOutlierVar+ , analyzedKDE = analyzedKDE+ , analyzedRegCoeff = case+ analyzedRegCoeff of+ Nothing -> Nothing+ Just Estimate{..} ->+ let ConfInt{..} = estError+ in Just $ Estimate+ { estPoint = estPoint / mult+ , estError = ConfInt+ { confIntLDX = confIntLDX / mult+ , confIntUDX = confIntUDX / mult+ , confIntCL = confIntCL+ }+ }+ , analyzedRegRSq = analyzedRegRSq+ }++prepareGroupsReport :: Config+ -> GroupStyle+ -> Maybe FilePath+ -> ReportType+ -> Int+ -> String+ -> [GroupMatrix]+ -> RawReport+prepareGroupsReport cfg@Config{..} style outfile rtype runs field matrices =+ -- XXX Determine the unit based the whole range of values across all columns+ let sortValues :: [String] -> [(String, a)] -> [a]+ sortValues bmarks vals =+ map (\name -> fromMaybe (error "bug") (lookup name vals)) bmarks++ unsortedCols = map (extractColumn field) matrices++ (estimators, transformedCols) =+ cmpTransformColumns rtype style estimator diffStrategy unsortedCols+ benchmarks = selectBenchmarksByField cfg matrices transformedCols+ sortedCols = map (sortValues benchmarks) transformedCols+ origSortedCols = map (sortValues benchmarks) unsortedCols++ mkColUnits :: [RelativeUnit]+ mkColUnits =+ let cols =+ if style == Diff || style == PercentDiff+ -- if we consider diff values as well here then the+ -- units will change to potentially very small.+ then [head sortedCols]+ else sortedCols+ minVal = getFieldMin cfg (minimum $ concat cols) field+ in case (rtype, style) of+ -- In case of percentDiff in TextReport we use absolute+ -- values in the baseline column, so the unit is different.+ (TextReport, PercentDiff) ->+ let unit = fieldUnits field minVal Absolute+ punit = fieldUnits field 1 style -- % unit+ in unit : replicate (length matrices - 1) punit+ (GraphicalChart, PercentDiff) | length matrices == 1 ->+ [fieldUnits field minVal Absolute]+ _ -> let unit = fieldUnits field minVal style+ in replicate (length matrices) unit++ mkColValues :: [[Double]]+ mkColValues =+ let applyUnit col (RelativeUnit _ multiplier) =+ map (/multiplier) col+ in zipWith applyUnit sortedCols mkColUnits++ mkColNames :: [String]+ mkColNames =+ let withSuffix x =+ groupName x +++ if runs > 1+ then "(" ++ show (groupIndex x) ++ ")"+ else ""+ applyUnit name (RelativeUnit label _) =+ name ++ inParens label+ in zipWith applyUnit (map withSuffix matrices) mkColUnits++ columns = getZipList $ ReportColumn+ <$> ZipList mkColNames+ <*> ZipList mkColUnits+ <*> ZipList mkColValues++ in RawReport+ { reportOutputFile = outfile+ , reportIdentifier = field+ , reportRowIds = benchmarks+ , reportColumns = transformColumnNames style columns+ , reportAnalyzed = zipWith (\x y -> map (scaleAnalyzedField x) y)+ mkColUnits origSortedCols+ , reportEstimators = estimators+ }++showStatusMessage :: Show a => Config -> String -> Maybe a -> IO ()+showStatusMessage cfg field outfile =+ let atitle = makeTitle field (diffString (presentation cfg)+ (diffStrategy cfg)) cfg+ in case outfile of+ Just path ->+ putStrLn $ "Creating chart "+ ++ "[" ++ atitle ++ "]"+ ++ " at "+ ++ show path+ Nothing -> return ()++reportComparingGroups+ :: GroupStyle+ -> FilePath+ -> Maybe FilePath+ -> ReportType+ -> Int+ -> Config+ -> (RawReport -> Config -> IO ())+ -> [GroupMatrix]+ -> String+ -> IO ()+reportComparingGroups style dir outputFile rtype runs cfg@Config{..} mkReport matrices field = do+ outfile <- case outputFile of+ Just file -> fmap Just $ prepareOutputFile dir rtype file+ estimator field+ Nothing -> return Nothing++ let rawReport = prepareGroupsReport cfg style outfile rtype runs field matrices+ showStatusMessage cfg field outfile+ mkReport rawReport cfg++-- Prepare report for a given group, the report would consist of multiple+-- field columns.+prepareFieldsReport :: Config+ -> Maybe FilePath+ -> GroupMatrix+ -> RawReport+prepareFieldsReport cfg@Config{..} outfile group =+ let mkColNames :: [String]+ mkColNames = colNames $ groupMatrix group++ benchmarks = selectBenchmarksByGroup cfg group++ getBenchValues name =+ fromMaybe (error "bug") $+ lookup name (rowValues $ groupMatrix group)++ sortedCols = transpose $ map getBenchValues benchmarks+ minColValues = map (minimum . map (getAnalyzedValue estimator))+ sortedCols++ mkColUnits :: [RelativeUnit]+ mkColUnits = map (\(x, v) -> getUnitByFieldName x (getFieldMin cfg v x))+ (zip mkColNames minColValues)++ mkColValues :: [[Double]]+ mkColValues =+ let scaleCol (RelativeUnit _ multiplier) = map (/ multiplier)+ in zipWith scaleCol mkColUnits+ (map (map (getAnalyzedValue estimator)) sortedCols)++ addUnitLabel name (RelativeUnit label _) =+ if label /= []+ then name ++ inParens label+ else name+ withUnits xs = zipWith addUnitLabel xs mkColUnits++ columns = getZipList $ ReportColumn+ <$> ZipList (withUnits mkColNames)+ <*> ZipList mkColUnits+ <*> ZipList mkColValues++ in RawReport+ { reportOutputFile = outfile+ , reportIdentifier = groupName group+ , reportRowIds = benchmarks+ , reportColumns = columns+ , reportAnalyzed = sortedCols+ , reportEstimators = Nothing+ }++reportPerGroup+ :: FilePath+ -> Maybe FilePath+ -> ReportType+ -> Config+ -> (RawReport -> Config -> IO ())+ -> GroupMatrix+ -> IO ()+reportPerGroup dir outputFile rtype cfg@Config{..} mkReport group = do+ outfile <- case outputFile of+ Just file -> fmap Just $ prepareOutputFile dir rtype file+ estimator (groupName group)+ Nothing -> return Nothing++ let rawReport = prepareFieldsReport cfg outfile group+ showStatusMessage cfg (groupName group) outfile+ mkReport rawReport cfg++-------------------------------------------------------------------------------+-- Utility functions+-------------------------------------------------------------------------------++showDiffStrategy :: DiffStrategy -> String+showDiffStrategy s =+ case s of+ SingleEstimator -> ""+ MinEstimator -> "using min estimator"++diffString :: Presentation -> DiffStrategy -> Maybe String+diffString style s =+ case style of+ Groups Diff -> Just $ "Diff " ++ showDiffStrategy s+ Groups PercentDiff -> Just $ "Diff " ++ showDiffStrategy s+ _ -> Nothing++inParens :: String -> String+inParens str = "(" ++ str ++ ")"++showEstimator :: Estimator -> String+showEstimator est =+ case est of+ Mean -> "Mean"+ Median -> "Median"+ Regression -> "Regression Coeff."++makeTitle :: String -> Maybe String -> Config -> String+makeTitle field diff Config{..} =+ fromMaybe "" title+ ++ inParens field+ ++ inParens (showEstimator estimator)+ ++ case diff of+ Nothing -> ""+ Just str -> inParens str
+ lib/BenchShow/Graph.hs view
@@ -0,0 +1,161 @@+-- |+-- Module : BenchShow.Graph+-- Copyright : (c) 2018 Composewell Technologies+--+-- License : BSD3+-- Maintainer : harendra.kumar@gmail.com+-- Stability : experimental+-- Portability : GHC+--++{-# LANGUAGE FlexibleContexts #-}+{-# LANGUAGE RecordWildCards #-}+{-# LANGUAGE TupleSections #-}++module BenchShow.Graph+ (+ graph+ ) where++import Control.Arrow (second)+import Control.Monad (forM_, when)+import Control.Monad.Trans.State.Lazy (get, put)+import Data.Maybe (fromMaybe)++import Graphics.Rendering.Chart.Easy+import Graphics.Rendering.Chart.Backend.Diagrams++import BenchShow.Common++-------------------------------------------------------------------------------+-- Benchmarking field specific handling+-------------------------------------------------------------------------------++-- XXX need the ability to specify Units in the scale+yindexes :: Maybe (Double, Double)+ -> Maybe FieldTick+ -> Double+ -> Maybe [Double]+yindexes fieldRange granularity multiplier =+ case (fieldRange, granularity) of+ (Just (rangeMin, rangeMax), Just g) ->+ let range = rangeMax - rangeMin+ (size, count) =+ case g of+ TickSize n ->+ (fromIntegral n, round $ range / fromIntegral n)+ TickCount n -> (range / fromIntegral n, n)+ in let size' = size / multiplier+ rmin = rangeMin / multiplier+ in Just $ take (count + 1) [rmin, rmin + size'..]+ _ -> Nothing++-------------------------------------------------------------------------------++transformColumns :: [ReportColumn] -> [ReportColumn]+transformColumns columns =+ if length columns == 1+ -- workaround for a bug that renders the plot badly when using+ -- a single cluster in the bar chart.+ then columns ++ [ReportColumn+ { colName = ""+ , colUnit = RelativeUnit "" 1+ , colValues = []+ }]+ else columns++genGroupGraph :: RawReport -> Config -> IO ()+genGroupGraph RawReport{..} cfg@Config{..} = do+ let outputFile = fromMaybe undefined reportOutputFile+ fieldRange = getFieldRange reportIdentifier cfg+ granularity = getFieldTick reportIdentifier cfg+ -- XXX assert that the unit for all columns is the same+ RelativeUnit ulabel multiplier = colUnit (head reportColumns)+ replaceMu 'μ' = 'u'+ replaceMu x = x+ unitLabel = map replaceMu ulabel+ columns = transformColumns reportColumns+ diffStr =+ if length reportColumns > 1+ then diffString presentation diffStrategy+ else Nothing+ atitle = makeTitle reportIdentifier diffStr cfg++ toFile def outputFile $ do+ layout_title .= atitle+ layout_title_style . font_size .= 25++ layout_x_axis . laxis_generate .=+ autoIndexAxis (map (map replaceMu . colName) columns)+ layout_x_axis . laxis_style . axis_label_style . font_size .= 16+ layout_y_axis . laxis_style . axis_label_style . font_size .= 14++ layout <- get+ case _layout_legend layout of+ Nothing -> return ()+ Just style@LegendStyle{..} -> do+ let s = style { _legend_plot_size = 22+ -- , _legend_margin = 40+ -- This is not available in versions <= 1.8.2+ -- , _legend_position = LegendBelow+ , _legend_label_style = _legend_label_style+ { _font_size = 14 }+ }+ put $ layout { _layout_legend = Just s }++ -- layout_y_axis . laxis_override .= axisGridAtTicks+ let modifyLabels ad = ad {+ _axis_labels = map (map (second (++ " " ++ unitLabel)))+ (_axis_labels ad)+ }+ when (presentation /= Fields) $+ layout_y_axis . laxis_override .= modifyLabels++ case yindexes fieldRange granularity multiplier of+ Nothing -> return ()+ Just indexes ->+ layout_y_axis . laxis_override .= \_ ->+ makeAxis (let f = floor :: Double -> Int+ in map ((++ " " ++ unitLabel) . show . f))+ (indexes, [], [])++ plot $ fmap plotBars $ bars reportRowIds+ $ (addIndexes $ map colValues columns)++-- | Presents the benchmark results in a CSV input file as graphical bar charts+-- according to the provided configuration. The first parameter is the input+-- file name, the second parameter is the name prefix for the output SVG image+-- file(s). One or more output files may be generated depending on the+-- 'Presentation' setting. The last parameter is the configuration to+-- customize the graph, you can start with 'defaultConfig' as the base and+-- override any of the fields that you may want to change.+--+-- For example:+--+-- @+-- graph "bench-results.csv" "output-graph" 'defaultConfig'+-- @+--+-- @since 0.2.0+graph :: FilePath -> FilePath -> Config -> IO ()+graph inputFile outputFile cfg@Config{..} = do+ let dir = fromMaybe "." outputDir+ (csvlines, fields) <- prepareToReport inputFile cfg+ (runs, matrices) <- prepareGroupMatrices cfg csvlines fields+ case presentation of+ Groups style ->+ forM_ fields $+ reportComparingGroups style dir (Just outputFile)+ GraphicalChart runs cfg+ genGroupGraph matrices+ Fields -> do+ forM_ matrices $+ reportPerGroup dir (Just outputFile) GraphicalChart+ cfg genGroupGraph+ Solo ->+ let funcs = map+ (\mx -> reportComparingGroups Absolute dir+ (Just $ outputFile ++ "-" ++ groupName mx)+ GraphicalChart runs cfg genGroupGraph [mx])+ matrices+ in sequence_ $ funcs <*> fields
+ lib/BenchShow/Report.hs view
@@ -0,0 +1,204 @@+-- |+-- Module : BenchShow.Report+-- Copyright : (c) 2018 Composewell Technologies+--+-- License : BSD3+-- Maintainer : harendra.kumar@gmail.com+-- Stability : experimental+-- Portability : GHC+--++{-# LANGUAGE FlexibleContexts #-}+{-# LANGUAGE RecordWildCards #-}+{-# LANGUAGE TupleSections #-}++module BenchShow.Report+ (+ report+ ) where++import Control.Applicative (ZipList(..))+import Control.Monad (forM_)+import Data.Maybe (fromMaybe)+import Statistics.Types (Estimate(..))+import Text.PrettyPrint.ANSI.Leijen hiding ((<$>))+import Text.Printf (printf)++import BenchShow.Common+import BenchShow.Analysis++-- XXX in comparative reports render lower than baseline in green and higher+-- than baseline in red+genGroupReport :: RawReport -> Config -> IO ()+genGroupReport RawReport{..} cfg@Config{..} = do+ let diffStr =+ if length reportColumns > 1+ then diffString presentation diffStrategy+ else Nothing+ putStrLn $ makeTitle reportIdentifier diffStr cfg+ let benchcol = "Benchmark" : reportRowIds+ groupcols =+ let firstCol : tailCols = reportColumns+ colorCol ReportColumn{..} =+ let f x = case presentation of+ Groups Diff ->+ if x > 0 then dullred else dullgreen+ Groups PercentDiff ->+ if x > fromIntegral threshold+ then dullred+ else if x < (-1) * fromIntegral threshold+ then dullgreen+ else id+ _ -> id+ in map f colValues+ renderTailCols estimators col analyzed =+ let regular = renderGroupCol $ showCol col Nothing analyzed+ colored = zipWith ($) (id : id : colorCol col)+ $ renderGroupCol+ $ showCol col estimators analyzed+ in case presentation of+ Groups Diff -> colored+ Groups PercentDiff -> colored+ _ -> regular+ in renderGroupCol (showFirstCol firstCol)+ : case reportEstimators of+ Just ests -> getZipList $+ renderTailCols+ <$> ZipList (map Just $ tail ests)+ <*> ZipList tailCols+ <*> ZipList (tail reportAnalyzed)+ Nothing -> getZipList $+ renderTailCols+ <$> pure Nothing+ <*> ZipList tailCols+ <*> ZipList (tail reportAnalyzed)+ rows = foldl (zipWith (<+>)) (renderCol benchcol) groupcols+ putDoc $ vcat rows+ putStrLn "\n"++ where++ renderCol [] = error "Bug: header row missing"+ renderCol col@(h : rows) =+ let maxlen = maximum (map length col)+ in map (fill maxlen . text) (h : replicate maxlen '-' : rows)++ renderGroupCol [] = error+ "Bug: There has to be at least one column in raw report"+ renderGroupCol col@(h : rows) =+ let maxlen = maximum (map length col)+ in map (\x -> indent (maxlen - length x) $ text x)+ (h : replicate maxlen '-' : rows)++ showEstimator est =+ case est of+ Mean -> "(mean)"+ Median -> "(medi)"+ Regression -> "(regr)"++ showEstVal estvals est =+ case est of+ Mean ->+ let sd = analyzedStdDev estvals+ val = analyzedMean estvals+ in+ if val /= 0+ then printf "(%.2f)" $ sd / abs val+ else ""+ Median ->+ let x = ovFraction $ analyzedOutlierVar estvals+ in printf "(%.2f)" x+ Regression ->+ case analyzedRegRSq estvals of+ Just rsq -> printf "(%.2f)" (estPoint rsq)+ Nothing -> ""++ showFirstCol ReportColumn{..} =+ let showVal = printf "%.2f"+ withEstimator val estvals =+ showVal val +++ if verbose+ then showEstVal estvals estimator+ else ""+ withEstVal =+ zipWith withEstimator colValues (head reportAnalyzed)+ in colName : withEstVal++ showCol ReportColumn{..} estimators analyzed = colName :+ let showVal val =+ let showDiff =+ if val > 0+ then printf "+%.2f" val+ else printf "%.2f" val+ in case presentation of+ Groups Diff -> showDiff+ Groups PercentDiff -> showDiff+ _ -> printf "%.2f" val++ showEstAnnot est =+ case presentation of+ Groups Diff -> showEstimator est+ Groups PercentDiff -> showEstimator est+ _ -> ""++ in case estimators of+ Just ests ->+ let withAnnot val estvals est =+ showVal val+ ++ if verbose+ then showEstVal estvals est+ ++ showEstAnnot est+ else ""+ in getZipList $+ withAnnot+ <$> ZipList colValues+ <*> ZipList analyzed+ <*> ZipList ests++ Nothing ->+ let withEstVal val estvals est =+ showVal val+ ++ if verbose then showEstVal estvals est else ""+ in getZipList $+ withEstVal+ <$> ZipList colValues+ <*> ZipList analyzed+ <*> pure estimator++-- | Presents the benchmark results in a CSV input file as text reports+-- according to the provided configuration. The first parameter is the input+-- file name. The second parameter, when specified using 'Just', is the name+-- prefix for the output SVG image file(s). One or more output files may be+-- generated with the given prefix depending on the 'Presentation' setting.+-- When the second parameter is 'Nothing' the reports are printed on the+-- console. The last parameter is the configuration to customize the report,+-- you can start with 'defaultConfig' as the base and override any of the+-- fields that you may want to change.+--+-- For example:+--+-- @+-- report "bench-results.csv" Nothing 'defaultConfig'+-- @+--+-- @since 0.2.0+report :: FilePath -> Maybe FilePath -> Config -> IO ()+report inputFile outputFile cfg@Config{..} = do+ let dir = fromMaybe "." outputDir+ (csvlines, fields) <- prepareToReport inputFile cfg+ (runs, matrices) <- prepareGroupMatrices cfg csvlines fields+ case presentation of+ Groups style ->+ forM_ fields $+ reportComparingGroups style dir outputFile TextReport runs+ cfg genGroupReport matrices+ Fields -> do+ forM_ matrices $+ reportPerGroup dir outputFile TextReport cfg genGroupReport+ Solo ->+ let funcs = map+ (\mx -> reportComparingGroups Absolute dir+ (fmap (++ "-" ++ groupName mx) outputFile)+ TextReport runs cfg genGroupReport [mx])+ matrices+ in sequence_ $ funcs <*> fields
+ lib/BenchShow/Tutorial.hs view
@@ -0,0 +1,343 @@+{-# OPTIONS_GHC -fno-warn-unused-imports #-}+-- |+-- Module : BenchShow.Tutorial+-- Copyright : (c) 2018 Composewell Technologies+--+-- License : BSD3+-- Maintainer : harendra.kumar@gmail.com+--+-- BenchShow generates text reports and graphs from benchmarking results. It+-- allows you to manipulate the format of the report and the benchmarking data+-- to present it in many useful ways.++module BenchShow.Tutorial+ (+ -- * Generating benchmark results+ -- $generating++ -- * Reports and Charts+ -- $plotting++ -- * Grouping+ -- $grouping++ -- * Difference+ -- $difference++ -- * Percentage Difference+ -- $percent++ -- * Statistical Estimators+ -- $estimators++ -- * Difference Strategy+ -- $diffStrategy++ -- * Sorting+ -- $sorting++ -- * Regression+ -- $regression+ )+where++import BenchShow++-- $generating+--+-- To generate benchmark results use @gauge@ or @criterion@ benchmarking+-- libraries, define some benchmarks and run it with @--csv=results.csv@.+--+-- The resulting @results.csv@ may look like the following, for simplicity we+-- have removed some of the fields::+--+-- @+-- Name,time,maxrss+-- vector/fold,6.41620933137583e-4,2879488+-- streamly/fold,6.399582632376517e-4,2879488+-- vector/map,6.388913781259641e-4,2854912+-- streamly/map,6.533649051066093e-4,2793472+-- vector/zip,6.514202653014291e-4,2707456+-- streamly/zip,6.443344209329669e-4,2711552+-- @+--+-- If you run the benchmarks again (maybe after a change) the new results are+-- appended to the file. BenchShow can compare two or more result sets and+-- compare the results in different ways. We will use the above data for the+-- examples below, you can copy it and paste it in a file and use that as input+-- to a BenchShow application.+--+-- @gauge@ supports generating a raw csv file using @--csvraw@ option. The raw+-- csv file has results for many more benchmarking fields other than time e.g.+-- @maxrss@ or @allocated@ and many more.++-- $plotting+--+-- The most common usecase is to see the time and peak memory usage of a+-- program for each benchmark. The 'report' API with 'Fields' presentation+-- style generates a multi-column report for a quick overview of all+-- benchmarks. Units of the fields are automatically determined based on the+-- range of values:+--+-- @+-- 'report' "results.csv" Nothing 'defaultConfig' { 'presentation' = 'Fields' }+-- @+--+-- @+-- (default)(Median)+-- Benchmark time(μs) maxrss(MiB)+-- ------------- -------- -----------+-- vector/fold 641.62 2.75+-- streamly/fold 639.96 2.75+-- vector/map 638.89 2.72+-- streamly/map 653.36 2.66+-- vector/zip 651.42 2.58+-- streamly/zip 644.33 2.59+-- @+--+-- We can generate equivalent visual report using 'graph', it generates one bar+-- chart for each column:+--+-- @+-- 'graph' "results.csv" "output" 'defaultConfig'+-- @+--+-- By default all the benchmarks are placed in a single benchmark group named+-- @default@.+--+-- <<docs/full-median-time.svg Median Time Full>>+--++-- $grouping+--+-- Let's write a benchmark classifier to put the @streamly@ and @vector@+-- benchmarks in their own groups:+--+-- @+-- classifier name =+-- case splitOn "/" name of+-- grp : bench -> Just (grp, concat bench)+-- _ -> Nothing+-- @+--+-- Now we can show the two benchmark groups as columns each showing the time+-- field for that group. We can generate separate reports comparing different+-- benchmark fields (e.g. @time@ and @maxrss@) for all the groups::+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig' { 'classifyBenchmark' = classifier }+-- @+--+-- @+-- (time)(Median)+-- Benchmark streamly(μs) vector(μs)+-- --------- ------------ ----------+-- fold 639.96 641.62+-- map 653.36 638.89+-- zip 644.33 651.42+-- @+--+-- We can do the same graphically as well, just replace 'report' with 'graph'+-- in the code above. Each group is placed as a cluster on the graph. Multiple+-- clusters are placed side by side on the same scale for easy+-- comparison. For example:+--+-- <<docs/grouped-median-time.svg Median Time Grouped>>++-- $difference+--+-- We can make the first group as baseline and report the subsequent groups as+-- a difference from the baseline:+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'Diff'+-- }+-- @+--+-- @+-- (time)(Median)(Diff using min estimator)+-- Benchmark streamly(μs)(base) vector(μs)(-base)+-- --------- ------------------ -----------------+-- fold 639.96 +1.66+-- map 653.36 -14.47+-- zip 644.33 +7.09+-- @+--+-- In a chart, the second cluster plots the difference @streamly - vector@.+--+-- <<docs/grouped-delta-median-time.svg Median Time Grouped Delta>>++-- $percent+--+-- Absolute difference does not give us a good idea about how good or bad+-- the comparison is. We can report precentage difference instead:+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'PercentDiff'+-- }+-- @+--+-- @+-- (time)(Median)(Diff using min estimator)+-- Benchmark streamly(μs)(base) vector(%)(-base)+-- --------- ------------------ ----------------+-- fold 639.96 +0.26+-- map 653.36 -2.22+-- zip 644.33 +1.10+-- @+--+-- Graphically:+--+-- <<docs/grouped-percent-delta-median-time.svg Median Time Percent Delta>>++-- $estimators+--+-- When multiple samples are available for each benchmark we report the+-- 'Median' by default. However, other estimators like 'Mean' and 'Regression'+-- (a value arrived at by linear regression) can be used:+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'PercentDiff'+-- , 'estimator' = 'Regression'+-- }+-- @+--+-- @+-- (time)(Regression Coeff.)(Diff using min estimator)+-- Benchmark streamly(μs)(base) vector(%)(-base)+-- --------- ------------------ ----------------+-- fold 639.96 +0.26+-- map 653.36 -2.22+-- zip 644.33 +1.10+-- @+--+-- Graphically:+--+-- <<docs/grouped-percent-delta-coeff-time.svg Regression Coeff. Time Percent Delta>>++-- $diffStrategy+--+-- A 'DiffStrategy' controls how the difference between two groups being+-- compared is arrived at. By default we use the 'MinEstimators' strategy which+-- computes the difference using all the available estimators and takes the+-- minimum of all. We can use a 'SingleEstimator' strategy instead if we so+-- desire, it uses the estimatorr configured for the report using the+-- @estimator@ field of the configuration..+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'PercentDiff'+-- , 'estimator' = 'Regression'+-- , 'diffStrategy' = 'SingleEstimator'+-- }+-- @+--+-- @+-- (time)(Regression Coeff.)(Diff )+-- Benchmark streamly(μs)(base) vector(%)(-base)+-- --------- ------------------ ----------------+-- fold 639.96 +0.26+-- map 653.36 -2.22+-- zip 644.33 +1.10+-- @+--+-- Graphically:+--+-- <<docs/grouped-single-estimator-coeff-time.svg Single Estimator Time Percent Delta>>++-- $sorting+--+-- Percentage difference does not immediately tell us the worst affected+-- benchmarks. We can sort the results by the difference:+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'PercentDiff'+-- , 'selectBenchmarks' = \f ->+-- reverse+-- $ map fst+-- $ sortBy (comparing snd)+-- $ either error id $ f $ 'ColumnIndex' 1+-- }+-- @+--+-- @+-- (time)(Median)(Diff using min estimator)+-- Benchmark streamly(μs)(base) vector(%)(-base)+-- --------- ------------------ ----------------+-- zip 644.33 +1.10+-- fold 639.96 +0.26+-- map 653.36 -2.22+-- @+--+-- This tells us that zip is the relatively worst benchmark for vector compared+-- to streamly, as it takes 1.10% more time, whereas map is the best taking+-- 2.22% less time..+--+-- Graphically:+--+-- <<docs/grouped-percent-delta-sorted-median-time.svg Median Time Percent Delta>>++-- $regression+--+-- We can append benchmarks results from multiple runs to the same file. These+-- runs can then be compared. We can run benchmarks before and after a change+-- and then report the regressions by percentage change in a sorted order:+--+-- Given the following results file with two runs appended:+--+-- @+-- Name,time+-- streamly/fold,1.755309435106302e-2+-- streamly/zip,2.960114434592148e-2+-- streamly/map,2.4673020708256527e-2+-- Name,time+-- streamly/fold,8.970816964261911e-3+-- streamly/zip,8.439519884529081e-3+-- streamly/map,6.972814233286865e-3+-- @+--+-- This code generates the report that follows:+--+-- @+-- 'report' "results.csv" Nothing+-- 'defaultConfig'+-- { 'classifyBenchmark' = classifier+-- , 'presentation' = 'Groups' 'PercentDiff'+-- , 'selectBenchmarks' = \f ->+-- reverse+-- $ map fst+-- $ sortBy (comparing snd)+-- $ either error id $ f $ 'ColumnIndex' 1+-- }+-- @+--+-- @+-- (time)(Median)(Diff using min estimator)+-- Benchmark streamly(0)(μs)(base) streamly(1)(%)(-base)+-- --------- --------------------- ---------------------+-- zip 644.33 +23.28+-- map 653.36 +7.65+-- fold 639.96 -15.63+-- @+--+-- It tells us that in the second run the worst affected benchmark is zip+-- taking 23.28 percent more time comapred to the baseline.+--+-- Graphically:+--+-- <<docs/regression-percent-descending-median-time.svg Median Time Regression>>
+ stack-8.2.yaml view
@@ -0,0 +1,14 @@+resolver: lts-11.10+packages:+- '.'+extra-deps:+ - Chart-diagrams-1.8.3+ - SVGFonts-1.6.0.3+ - diagrams-core-1.4.0.1+ - diagrams-lib-1.4.2+ - diagrams-postscript-1.4+ - diagrams-svg-1.4.1.1+ - diagrams-solve-0.1.1+ - dual-tree-0.2.1+ - lens-4.15.4+ - free-4.12.4
+ stack.yaml view
@@ -0,0 +1,7 @@+resolver: lts-12.11+packages:+- '.'+extra-deps:+ - Chart-1.9+ - Chart-diagrams-1.9+ - SVGFonts-1.6.0.3
+ test/Doc.hs view
@@ -0,0 +1,139 @@+{-# LANGUAGE FlexibleContexts #-}++module Main where++import Data.Ord (comparing)+import Data.List (sortBy)+import Data.List.Split (splitOn)++import BenchShow++main :: IO ()+main = do+ let classifier name =+ case splitOn "/" name of+ grp : rest -> Just (grp, concat rest)+ _ -> Nothing++ graph "test/results-doc.csv" "docs/full" defaultConfig+ report "test/results-doc.csv" Nothing+ defaultConfig { presentation = Fields }++ graph "test/results-doc.csv" "docs/grouped"+ defaultConfig+ { classifyBenchmark = classifier }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier }++ graph "test/results-doc.csv" "docs/grouped-percent"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups Percent+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups Percent+ }++ graph "test/results-doc.csv" "docs/grouped-delta"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups Diff+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups Diff+ }++ graph "test/results-doc.csv" "docs/grouped-percent-delta"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ }++ graph "test/results-doc.csv" "docs/grouped-percent-delta"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , estimator = Regression+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , estimator = Regression+ }++ graph "test/results-doc.csv" "docs/grouped-single-estimator"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , estimator = Regression+ , diffStrategy = SingleEstimator+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , estimator = Regression+ , diffStrategy = SingleEstimator+ , verbose = True+ }++ graph "test/results-doc.csv" "docs/grouped-percent-delta-sorted"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , selectBenchmarks =+ \f ->+ reverse+ $ map fst+ $ sortBy (comparing snd)+ $ either error id $ f $ ColumnIndex 1+ }+ report "test/results-doc.csv" Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , selectBenchmarks =+ \f ->+ reverse+ $ map fst+ $ sortBy (comparing snd)+ $ either error id $ f $ ColumnIndex 1+ }++ graph+ "test/results-doc-multi.csv"+ "docs/regression-percent-descending"+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , selectBenchmarks =+ \f ->+ reverse+ $ map fst+ $ sortBy (comparing snd)+ $ either error id $ f $ ColumnIndex 1+ }+ report+ "test/results-doc-multi.csv"+ Nothing+ defaultConfig+ { classifyBenchmark = classifier+ , presentation = Groups PercentDiff+ , selectBenchmarks =+ \f ->+ reverse+ $ map fst+ $ sortBy (comparing snd)+ $ either error id $ f $ ColumnIndex 1+ }
+ test/Main.hs view
@@ -0,0 +1,162 @@+{-# LANGUAGE FlexibleContexts #-}++module Main where++import Data.Function (on)+import Data.List+import Data.List.Split (splitOn)+-- import Data.Maybe (catMaybes)+-- import System.Process.Typed (readProcess_)+import BenchShow++-- import qualified Data.Text.Lazy as T+-- import qualified Data.Text.Lazy.Encoding as T++-- XXX use package name and a tag+packages :: [String]+packages =+ [ "list"+ , "pure-vector"+ , "vector"+ , "streamly"+ , "streaming"+ , "conduit"+ , "pipes"+ , "machines"+ , "drinkery"+ ]++-------------------------------------------------------------------------------+main :: IO ()+main = do+ {-+ (out, _) <- readProcess_ "stack --system-ghc list-dependencies --bench"++ -- Get our streaming packages and their versions+ let match [] = Nothing+ match (_ : []) = Nothing+ match (x : y : _) =+ case elem x packages of+ False -> Nothing+ True -> Just (x, y)++ -- pkginfo is [(packagename, version)]+ pkginfo =+ catMaybes+ $ map match+ $ map words (lines (T.unpack $ T.decodeUtf8 out))+ -}+ let pkginfo = []++ -- suffix versions to packages+ let suffixVersion p =+ case lookup p pkginfo of+ Nothing -> p+ Just v -> p ++ "-" ++ v++ let chartTitle = "Cheaper Operations (Lower is Better)"+ prefixes =+ [ "elimination/toNull"+ , "filtering/drop-all"+ , "filtering/dropWhile-true"+ , "filtering/filter-all-out"+ , "elimination/last"+ , "elimination/fold"+ , "transformation/map"+ , "filtering/take-all"+ , "filtering/takeWhile-true"+ , "filtering/filter-all-in"+ , "filtering/filter-even"+ , "transformation/scan"+ ]+ bsort bs =+ let i = intersect (map (last . splitOn "/") prefixes) bs+ in i ++ (bs \\ i)+ cfg = defaultConfig+ { title = Just chartTitle+ , outputDir = Just "charts"+ , classifyBenchmark = \bm ->+ case any (`isPrefixOf` bm) prefixes of+ True ->+ let xs = reverse (splitOn "/" bm)+ in Just (suffixVersion (xs !! 0), xs !! 1)+ False -> Nothing+ , selectBenchmarks = \g -> bsort $+ either error (map fst) $ g (ColumnIndex 0)+ , selectGroups = \gs ->+ let gs' = map fst gs+ i = intersect (map suffixVersion packages) gs'+ new = i ++ (gs' \\ i)+ in concat $ map (\x -> filter (\(y,_) -> y == x) gs) new+ }++ -- csv format+ graph "test/results.csv" "csv-full" cfg++ -- raw csv format++ graph "test/results.csvraw" "csvraw-solo"+ cfg { presentation = Solo }++ -- multi-field graph+ graph "test/results.csvraw" "csvraw-full-fields"+ cfg { presentation = Fields }++ -- multi-groupd graphs+ graph "test/results.csvraw" "csvraw-full"+ cfg { presentation = Groups Absolute }++ graph "test/results.csvraw" "csvraw-delta"+ cfg { fieldRanges = [("mean", -20000, 50000)]+ , fieldTicks = [("mean", TickCount 7)]+ , presentation = Groups Diff+ , selectFields = (`intersect` ["time"])+ }+ graph "test/results.csvraw" "csvraw-percent"+ cfg { presentation = Groups Percent+ , selectFields = (`intersect` ["time"])+ }+ graph "test/results.csvraw" "csvraw-percent-delta"+ cfg { presentation = Groups PercentDiff+ , selectFields = (`intersect` ["time"])+ }++ -- Multi-field text reports+ report "test/results.csv" Nothing+ cfg { presentation = Fields }++ report "test/results.csvraw" Nothing+ cfg { presentation = Solo }++ report "test/results.csvraw" Nothing+ cfg { presentation = Fields }++ -- XXX disabled until a fixed version of statistics is released+ {-+ report "test/results.csvraw" Nothing+ cfg { presentation = Fields+ , selectFields = drop 7+ }+ -}++ -- Multi-group text reports+ report "test/results.csv" Nothing+ cfg { presentation = Groups Absolute+ , selectBenchmarks = \g ->+ either error (map fst . sortBy (compare `on` snd))+ (g (ColumnIndex 1))+ }++ report "test/results.csv" Nothing+ cfg { presentation = Groups Percent+ }++ report "test/results.csv" Nothing+ cfg { presentation = Groups PercentDiff+ , selectBenchmarks = \g ->+ either error (map fst . sortBy (compare `on` snd))+ (g (ColumnIndex 1))+ }+ report "test/results.csv" Nothing+ cfg { presentation = Groups Diff+ }
+ test/results-doc-multi.csv view
@@ -0,0 +1,8 @@+Name,time +streamly/fold,6.399582632376517e-4 +streamly/map,6.533649051066093e-4 +streamly/zip,6.443344209329669e-4 +Name,time +streamly/fold,5.399582632376517e-4 +streamly/map,7.033649051066093e-4 +streamly/zip,7.943344209329669e-4
+ test/results-doc.csv view
@@ -0,0 +1,7 @@+Name,time,maxrss +vector/fold,6.41620933137583e-4,2879488 +streamly/fold,6.399582632376517e-4,2879488 +vector/map,6.388913781259641e-4,2854912 +streamly/map,6.533649051066093e-4,2793472 +vector/zip,6.514202653014291e-4,2707456 +streamly/zip,6.443344209329669e-4,2711552
+ test/results.csv view
@@ -0,0 +1,61 @@+Name,Mean,MeanLB,MeanUB,Stddev,StddevLB,StddevUB +elimination/toNull/vector,7.094245488933795e-3,6.985926141446071e-3,7.2348648735278825e-3,3.833171418050209e-4,3.013819048857454e-4,5.639266962383408e-4 +elimination/toNull/streamly,1.5535858853843156e-2,1.5303019558636742e-2,1.5838961771453233e-2,7.035941289132703e-4,5.36604770584022e-4,8.924252225050569e-4 +elimination/toNull/streaming,1.4555433566011359e-2,1.439555761799639e-2,1.4879887615128724e-2,6.001982142413209e-4,3.9759609086605503e-4,9.857093883043303e-4 +elimination/toList/vector,0.10181891926170634,0.10062884958849205,0.10428734162361111,2.830367265863095e-3,1.2923172961228665e-3,4.738107776913244e-3 +elimination/toList/streamly,0.1286904671070106,0.1261671276195767,0.1320037209212963,4.851626761993156e-3,3.277373376080638e-3,6.358806192957255e-3 +elimination/toList/streaming,0.1593036601202381,0.15727833134940478,0.162464661525,3.6568801494773584e-3,1.9340717354754215e-3,5.808813683426664e-3 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+compose/mapM/vector,7.058952711967692e-3,6.94788088954212e-3,7.1875500517399465e-3,3.620441811124657e-4,2.803341036154593e-4,4.806080392910757e-4 +compose/mapM/streamly,6.0535911749361536e-2,5.934949574476869e-2,6.189077518424908e-2,2.314241593025451e-3,1.7536527753028274e-3,3.3080717927129774e-3 +compose/mapM/streaming,0.16695647992559523,0.1645903573125,0.17036400319642858,4.6794317727961825e-3,2.758088092129939e-3,6.801288358208042e-3 +compose/map-with-all-in-filter/vector,8.372629178404188e-3,8.23239966339582e-3,8.532415896967235e-3,4.5295731341307125e-4,3.4386979002403194e-4,5.93627883906338e-4 +compose/map-with-all-in-filter/streamly,0.1335277624175926,0.13183044036666666,0.13550619638425926,3.0875724678161567e-3,2.0227280113052984e-3,4.376001246056009e-3 +compose/map-with-all-in-filter/streaming,9.572398953408731e-2,9.400119201444444e-2,9.743897824226191e-2,2.971406943346079e-3,2.218091435863518e-3,4.08689675909988e-3 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+ test/results.csvraw view
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