diff --git a/README.md b/README.md
index 4c51edb..f9ce777 100644
--- a/README.md
+++ b/README.md
@@ -54,6 +54,7 @@ Performance is not the only relevant property, depending on your needs you shoul
 | [serialise-0.2.1.0](https://hackage.haskell.org/package/serialise) | Lazy     | Multi-Language            |
 | [flat-0.3.4](https://hackage.haskell.org/package/flat)             | Strict   | Multi-Language            |
 | [persist-0.1](https://hackage.haskell.org/package/persist)         | Strict   | Haskell            |
+| [winery-1.1.1](https://hackage.haskell.org/package/winery)         | Strict   | Haskell                   |
 
 Compatibility Levels (lowest to highest):
 * Haskell-Same-Architecture
@@ -92,4 +93,3 @@ Try:
 The executable will write the *report.md*, *report.html* and *report.json* files containing the full test results and will print out the two summary results tables in markdown format.
 
 Tests will be compiled with GHC 8.4.4.
-
diff --git a/measures b/measures
index cba8f34..3636b82 100644
--- a/measures
+++ b/measures
@@ -1 +1 @@
-fromList [("deserialization (time)/BinTree Direction-binary",Measure {mTest = "deserialization (time)/BinTree Direction-binary", mValue = 3263.3697080115476}),("deserialization (time)/BinTree Direction-cereal",Measure {mTest = "deserialization (time)/BinTree Direction-cereal", mValue = 1659.977271532019}),("deserialization (time)/BinTree Direction-flat",Measure {mTest = "deserialization (time)/BinTree Direction-flat", mValue = 488.9881137448052}),("deserialization (time)/BinTree Direction-packman",Measure {mTest = "deserialization (time)/BinTree Direction-packman", mValue = 3994.0538223211965}),("deserialization (time)/BinTree Direction-persist",Measure {mTest = "deserialization (time)/BinTree Direction-persist", mValue = 505.34892082214355}),("deserialization (time)/BinTree Direction-serialise",Measure {mTest = "deserialization (time)/BinTree Direction-serialise", mValue = 3791.361590847373}),("deserialization (time)/BinTree Direction-store",Measure {mTest = "deserialization (time)/BinTree Direction-store", mValue = 560.2905051782727}),("deserialization (time)/BinTree Int-binary",Measure {mTest = "deserialization (time)/BinTree Int-binary", mValue = 1998.7774834347267}),("deserialization (time)/BinTree Int-cereal",Measure {mTest = "deserialization (time)/BinTree Int-cereal", mValue = 570.5684092827141}),("deserialization (time)/BinTree Int-flat",Measure {mTest = "deserialization (time)/BinTree Int-flat", mValue = 551.0037664013604}),("deserialization (time)/BinTree Int-packman",Measure {mTest = "deserialization (time)/BinTree Int-packman", mValue = 4321.919304473947}),("deserialization (time)/BinTree Int-persist",Measure {mTest = "deserialization (time)/BinTree Int-persist", mValue = 537.486324707667}),("deserialization (time)/BinTree Int-serialise",Measure {mTest = "deserialization (time)/BinTree Int-serialise", mValue = 2139.90710179011}),("deserialization (time)/BinTree Int-store",Measure {mTest = "deserialization (time)/BinTree Int-store", mValue = 516.1923365667462}),("deserialization (time)/Cars-binary",Measure {mTest = "deserialization (time)/Cars-binary", mValue = 129.46013358443798}),("deserialization (time)/Cars-cereal",Measure {mTest = "deserialization (time)/Cars-cereal", mValue = 55.59028635424629}),("deserialization (time)/Cars-flat",Measure {mTest = "deserialization (time)/Cars-flat", mValue = 24.408281129600162}),("deserialization (time)/Cars-packman",Measure {mTest = "deserialization (time)/Cars-packman", mValue = 48.90506900506769}),("deserialization (time)/Cars-persist",Measure {mTest = "deserialization (time)/Cars-persist", mValue = 23.471048169861046}),("deserialization (time)/Cars-serialise",Measure {mTest = "deserialization (time)/Cars-serialise", mValue = 137.67498276373817}),("deserialization (time)/Cars-store",Measure {mTest = "deserialization (time)/Cars-store", mValue = 25.700016708875015}),("deserialization (time)/Iris-binary",Measure {mTest = "deserialization (time)/Iris-binary", mValue = 299.6658258885145}),("deserialization (time)/Iris-cereal",Measure {mTest = "deserialization (time)/Iris-cereal", mValue = 125.75851627292911}),("deserialization (time)/Iris-flat",Measure {mTest = "deserialization (time)/Iris-flat", mValue = 48.08621853443852}),("deserialization (time)/Iris-packman",Measure {mTest = "deserialization (time)/Iris-packman", mValue = 88.43350074396878}),("deserialization (time)/Iris-persist",Measure {mTest = "deserialization (time)/Iris-persist", mValue = 45.71355838174234}),("deserialization (time)/Iris-serialise",Measure {mTest = "deserialization (time)/Iris-serialise", mValue = 106.32834676160383}),("deserialization (time)/Iris-store",Measure {mTest = "deserialization (time)/Iris-store", mValue = 39.6079722676896}),("deserialization (time)/[Direction]-binary",Measure {mTest = "deserialization (time)/[Direction]-binary", mValue = 48.71916447146333}),("deserialization (time)/[Direction]-cereal",Measure {mTest = "deserialization (time)/[Direction]-cereal", mValue = 18.71622773583811}),("deserialization (time)/[Direction]-flat",Measure {mTest = "deserialization (time)/[Direction]-flat", mValue = 14.584213853142977}),("deserialization (time)/[Direction]-packman",Measure {mTest = "deserialization (time)/[Direction]-packman", mValue = 117.72746301943525}),("deserialization (time)/[Direction]-persist",Measure {mTest = "deserialization (time)/[Direction]-persist", mValue = 16.0218419845395}),("deserialization (time)/[Direction]-serialise",Measure {mTest = "deserialization (time)/[Direction]-serialise", mValue = 65.38503378488942}),("deserialization (time)/[Direction]-store",Measure {mTest = "deserialization (time)/[Direction]-store", mValue = 18.718472493233477}),("serialization (time)/BinTree Direction-binary",Measure {mTest = "serialization (time)/BinTree Direction-binary", mValue = 2294.6991828891137}),("serialization (time)/BinTree Direction-cereal",Measure {mTest = "serialization (time)/BinTree Direction-cereal", mValue = 1249.0544845350087}),("serialization (time)/BinTree Direction-flat",Measure {mTest = "serialization (time)/BinTree Direction-flat", mValue = 128.3533287456348}),("serialization (time)/BinTree Direction-packman",Measure {mTest = "serialization (time)/BinTree Direction-packman", mValue = 3314.22160876294}),("serialization (time)/BinTree Direction-persist",Measure {mTest = "serialization (time)/BinTree Direction-persist", mValue = 93.50037832351852}),("serialization (time)/BinTree Direction-serialise",Measure {mTest = "serialization (time)/BinTree Direction-serialise", mValue = 3492.274626468619}),("serialization (time)/BinTree Direction-store",Measure {mTest = "serialization (time)/BinTree Direction-store", mValue = 118.89778681409855}),("serialization (time)/BinTree Int-binary",Measure {mTest = "serialization (time)/BinTree Int-binary", mValue = 2106.786302446077}),("serialization (time)/BinTree Int-cereal",Measure {mTest = "serialization (time)/BinTree Int-cereal", mValue = 1761.7968303772311}),("serialization (time)/BinTree Int-flat",Measure {mTest = "serialization (time)/BinTree Int-flat", mValue = 90.15405184012793}),("serialization (time)/BinTree Int-packman",Measure {mTest = "serialization (time)/BinTree Int-packman", mValue = 3665.660759744545}),("serialization (time)/BinTree Int-persist",Measure {mTest = "serialization (time)/BinTree Int-persist", mValue = 110.99936570306973}),("serialization (time)/BinTree Int-serialise",Measure {mTest = "serialization (time)/BinTree Int-serialise", mValue = 2508.9680653375885}),("serialization (time)/BinTree Int-store",Measure {mTest = "serialization (time)/BinTree Int-store", mValue = 115.2910949041446}),("serialization (time)/Cars-binary",Measure {mTest = "serialization (time)/Cars-binary", mValue = 37.94626806108173}),("serialization (time)/Cars-cereal",Measure {mTest = "serialization (time)/Cars-cereal", mValue = 18.19221184718131}),("serialization (time)/Cars-flat",Measure {mTest = "serialization (time)/Cars-flat", mValue = 5.593026753001806}),("serialization (time)/Cars-packman",Measure {mTest = "serialization (time)/Cars-packman", mValue = 35.637213082633785}),("serialization (time)/Cars-persist",Measure {mTest = "serialization (time)/Cars-persist", mValue = 7.271969532111314}),("serialization (time)/Cars-serialise",Measure {mTest = "serialization (time)/Cars-serialise", mValue = 22.195469845943105}),("serialization (time)/Cars-store",Measure {mTest = "serialization (time)/Cars-store", mValue = 3.68153009924261}),("serialization (time)/Iris-binary",Measure {mTest = "serialization (time)/Iris-binary", mValue = 170.9658918902278}),("serialization (time)/Iris-cereal",Measure {mTest = "serialization (time)/Iris-cereal", mValue = 34.47921619522889}),("serialization (time)/Iris-flat",Measure {mTest = "serialization (time)/Iris-flat", mValue = 10.857703342052822}),("serialization (time)/Iris-packman",Measure {mTest = "serialization (time)/Iris-packman", mValue = 54.91697691923465}),("serialization (time)/Iris-persist",Measure {mTest = "serialization (time)/Iris-persist", mValue = 63.9004875993654}),("serialization (time)/Iris-serialise",Measure {mTest = "serialization (time)/Iris-serialise", mValue = 23.622934772768296}),("serialization (time)/Iris-store",Measure {mTest = "serialization (time)/Iris-store", mValue = 1.9453934479475186}),("serialization (time)/[Direction]-binary",Measure {mTest = "serialization (time)/[Direction]-binary", mValue = 14.652089110385736}),("serialization (time)/[Direction]-cereal",Measure {mTest = "serialization (time)/[Direction]-cereal", mValue = 10.068748845096913}),("serialization (time)/[Direction]-flat",Measure {mTest = "serialization (time)/[Direction]-flat", mValue = 3.2856472168246613}),("serialization (time)/[Direction]-packman",Measure {mTest = "serialization (time)/[Direction]-packman", mValue = 80.70668005014933}),("serialization (time)/[Direction]-persist",Measure {mTest = "serialization (time)/[Direction]-persist", mValue = 2.5658881823883704}),("serialization (time)/[Direction]-serialise",Measure {mTest = "serialization (time)/[Direction]-serialise", mValue = 25.490990176590504}),("serialization (time)/[Direction]-store",Measure {mTest = "serialization (time)/[Direction]-store", mValue = 2.851030711321595}),("size (bytes)/BinTree Direction-binary",Measure {mTest = "size (bytes)/BinTree Direction-binary", mValue = 6291455.0}),("size (bytes)/BinTree Direction-cereal",Measure {mTest = "size (bytes)/BinTree Direction-cereal", mValue = 6291455.0}),("size (bytes)/BinTree Direction-flat",Measure {mTest = "size (bytes)/BinTree Direction-flat", mValue = 1153386.0}),("size (bytes)/BinTree Direction-packman",Measure {mTest = "size (bytes)/BinTree Direction-packman", mValue = 1.00663336e8}),("size (bytes)/BinTree Direction-persist",Measure {mTest = "size (bytes)/BinTree Direction-persist", mValue = 6291455.0}),("size (bytes)/BinTree Direction-serialise",Measure {mTest = "size (bytes)/BinTree Direction-serialise", mValue = 1.258291e7}),("size (bytes)/BinTree Direction-store",Measure {mTest = "size (bytes)/BinTree Direction-store", mValue = 6291455.0}),("size (bytes)/BinTree Int-binary",Measure {mTest = "size (bytes)/BinTree Int-binary", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-cereal",Measure {mTest = "size (bytes)/BinTree Int-cereal", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-flat",Measure {mTest = "size (bytes)/BinTree Int-flat", mValue = 2621440.0}),("size (bytes)/BinTree Int-packman",Measure {mTest = "size (bytes)/BinTree Int-packman", mValue = 1.0836328e8}),("size (bytes)/BinTree Int-persist",Measure {mTest = "size (bytes)/BinTree Int-persist", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-serialise",Measure {mTest = "size (bytes)/BinTree Int-serialise", mValue = 1.0932022e7}),("size (bytes)/BinTree Int-store",Measure {mTest = "size (bytes)/BinTree Int-store", mValue = 2.0971519e7}),("size (bytes)/Cars-binary",Measure {mTest = "size (bytes)/Cars-binary", mValue = 702728.0}),("size (bytes)/Cars-cereal",Measure {mTest = "size (bytes)/Cars-cereal", mValue = 702728.0}),("size (bytes)/Cars-flat",Measure {mTest = "size (bytes)/Cars-flat", mValue = 114841.0}),("size (bytes)/Cars-packman",Measure {mTest = "size (bytes)/Cars-packman", mValue = 1299528.0}),("size (bytes)/Cars-persist",Measure {mTest = "size (bytes)/Cars-persist", mValue = 702728.0}),("size (bytes)/Cars-serialise",Measure {mTest = "size (bytes)/Cars-serialise", mValue = 610562.0}),("size (bytes)/Cars-store",Measure {mTest = "size (bytes)/Cars-store", mValue = 702728.0}),("size (bytes)/Iris-binary",Measure {mTest = "size (bytes)/Iris-binary", mValue = 7575008.0}),("size (bytes)/Iris-cereal",Measure {mTest = "size (bytes)/Iris-cereal", mValue = 2475008.0}),("size (bytes)/Iris-flat",Measure {mTest = "size (bytes)/Iris-flat", mValue = 2425001.0}),("size (bytes)/Iris-packman",Measure {mTest = "size (bytes)/Iris-packman", mValue = 2416872.0}),("size (bytes)/Iris-persist",Measure {mTest = "size (bytes)/Iris-persist", mValue = 2475008.0}),("size (bytes)/Iris-serialise",Measure {mTest = "size (bytes)/Iris-serialise", mValue = 3000002.0}),("size (bytes)/Iris-store",Measure {mTest = "size (bytes)/Iris-store", mValue = 2475008.0}),("size (bytes)/[Direction]-binary",Measure {mTest = "size (bytes)/[Direction]-binary", mValue = 100008.0}),("size (bytes)/[Direction]-cereal",Measure {mTest = "size (bytes)/[Direction]-cereal", mValue = 100008.0}),("size (bytes)/[Direction]-flat",Measure {mTest = "size (bytes)/[Direction]-flat", mValue = 42484.0}),("size (bytes)/[Direction]-packman",Measure {mTest = "size (bytes)/[Direction]-packman", mValue = 3200072.0}),("size (bytes)/[Direction]-persist",Measure {mTest = "size (bytes)/[Direction]-persist", mValue = 100008.0}),("size (bytes)/[Direction]-serialise",Measure {mTest = "size (bytes)/[Direction]-serialise", mValue = 200002.0}),("size (bytes)/[Direction]-store",Measure {mTest = "size (bytes)/[Direction]-store", mValue = 100008.0}),("transfer [10 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-binary", mValue = 10591.232890900661}),("transfer [10 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-cereal", mValue = 7942.195756067027}),("transfer [10 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-flat", mValue = 1540.05024249044}),("transfer [10 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-packman", mValue = 87838.94423108414}),("transfer [10 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-persist", mValue = 5632.013299145662}),("transfer [10 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-serialise", mValue = 17349.964217315992}),("transfer [10 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-store", mValue = 5712.352291992371}),("transfer [10 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-binary", mValue = 20882.778985880803}),("transfer [10 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-cereal", mValue = 19109.580439659945}),("transfer [10 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-flat", mValue = 2738.3098182414883}),("transfer [10 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-packman", mValue = 94678.20406421849}),("transfer [10 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-persist", mValue = 17425.700890410735}),("transfer [10 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-serialise", mValue = 13394.492767127698}),("transfer [10 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-store", mValue = 17408.69863147089}),("transfer [10 MBits] (time)/Cars-binary",Measure {mTest = "transfer [10 MBits] (time)/Cars-binary", mValue = 729.5888016455198}),("transfer [10 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [10 MBits] (time)/Cars-cereal", mValue = 635.9648982014277}),("transfer [10 MBits] (time)/Cars-flat",Measure {mTest = "transfer [10 MBits] (time)/Cars-flat", mValue = 121.87410788260196}),("transfer [10 MBits] (time)/Cars-packman",Measure {mTest = "transfer [10 MBits] (time)/Cars-packman", mValue = 1124.1646820877015}),("transfer [10 MBits] (time)/Cars-persist",Measure {mTest = "transfer [10 MBits] (time)/Cars-persist", mValue = 592.9254177019724}),("transfer [10 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [10 MBits] (time)/Cars-serialise", mValue = 648.3200526096813}),("transfer [10 MBits] (time)/Cars-store",Measure {mTest = "transfer [10 MBits] (time)/Cars-store", mValue = 591.5639468081176}),("transfer [10 MBits] (time)/Iris-binary",Measure {mTest = "transfer [10 MBits] (time)/Iris-binary", mValue = 6530.6381177787425}),("transfer [10 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [10 MBits] (time)/Iris-cereal", mValue = 2140.244132468158}),("transfer [10 MBits] (time)/Iris-flat",Measure {mTest = "transfer [10 MBits] (time)/Iris-flat", mValue = 1998.9447218764913}),("transfer [10 MBits] (time)/Iris-packman",Measure {mTest = "transfer [10 MBits] (time)/Iris-packman", mValue = 2076.848077663203}),("transfer [10 MBits] (time)/Iris-persist",Measure {mTest = "transfer [10 MBits] (time)/Iris-persist", mValue = 2089.620445981108}),("transfer [10 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [10 MBits] (time)/Iris-serialise", mValue = 2529.952881534372}),("transfer [10 MBits] (time)/Iris-store",Measure {mTest = "transfer [10 MBits] (time)/Iris-store", mValue = 2021.559765715637}),("transfer [10 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-binary", mValue = 143.37765358184907}),("transfer [10 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-cereal", mValue = 108.79137658093502}),("transfer [10 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-flat", mValue = 51.85706106996764}),("transfer [10 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-packman", mValue = 2758.4917430695846}),("transfer [10 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-persist", mValue = 98.59413016692787}),("transfer [10 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-serialise", mValue = 250.8776239614799}),("transfer [10 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-store", mValue = 101.57590320455508}),("transfer [100 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-binary", mValue = 6061.385290900661}),("transfer [100 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-cereal", mValue = 3412.3481560670275}),("transfer [100 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-flat", mValue = 709.6123224904401}),("transfer [100 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-packman", mValue = 15361.342311084136}),("transfer [100 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-persist", mValue = 1102.165699145662}),("transfer [100 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-serialise", mValue = 8290.269017315992}),("transfer [100 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-store", mValue = 1182.5046919923714}),("transfer [100 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-binary", mValue = 5783.285305880804}),("transfer [100 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-cereal", mValue = 4010.0867596599455}),("transfer [100 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-flat", mValue = 850.8730182414884}),("transfer [100 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-packman", mValue = 16656.642464218494}),("transfer [100 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-persist", mValue = 2326.207210410737}),("transfer [100 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-serialise", mValue = 5523.436927127699}),("transfer [100 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-store", mValue = 2309.204951470891}),("transfer [100 MBits] (time)/Cars-binary",Measure {mTest = "transfer [100 MBits] (time)/Cars-binary", mValue = 223.62464164551972}),("transfer [100 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [100 MBits] (time)/Cars-cereal", mValue = 130.0007382014276}),("transfer [100 MBits] (time)/Cars-flat",Measure {mTest = "transfer [100 MBits] (time)/Cars-flat", mValue = 39.188587882601965}),("transfer [100 MBits] (time)/Cars-packman",Measure {mTest = "transfer [100 MBits] (time)/Cars-packman", mValue = 188.50452208770145}),("transfer [100 MBits] (time)/Cars-persist",Measure {mTest = "transfer [100 MBits] (time)/Cars-persist", mValue = 86.96125770197236}),("transfer [100 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [100 MBits] (time)/Cars-serialise", mValue = 208.71541260968127}),("transfer [100 MBits] (time)/Cars-store",Measure {mTest = "transfer [100 MBits] (time)/Cars-store", mValue = 85.59978680811763}),("transfer [100 MBits] (time)/Iris-binary",Measure {mTest = "transfer [100 MBits] (time)/Iris-binary", mValue = 1076.6323577787423}),("transfer [100 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [100 MBits] (time)/Iris-cereal", mValue = 358.238372468158}),("transfer [100 MBits] (time)/Iris-flat",Measure {mTest = "transfer [100 MBits] (time)/Iris-flat", mValue = 252.94400187649134}),("transfer [100 MBits] (time)/Iris-packman",Measure {mTest = "transfer [100 MBits] (time)/Iris-packman", mValue = 336.70023766320344}),("transfer [100 MBits] (time)/Iris-persist",Measure {mTest = "transfer [100 MBits] (time)/Iris-persist", mValue = 307.61468598110775}),("transfer [100 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [100 MBits] (time)/Iris-serialise", mValue = 369.9514415343721}),("transfer [100 MBits] (time)/Iris-store",Measure {mTest = "transfer [100 MBits] (time)/Iris-store", mValue = 239.55400571563712}),("transfer [100 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-binary", mValue = 71.37189358184906}),("transfer [100 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-cereal", mValue = 36.78561658093503}),("transfer [100 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-flat", mValue = 21.268581069967638}),("transfer [100 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-packman", mValue = 454.4399030695846}),("transfer [100 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-persist", mValue = 26.58837016692787}),("transfer [100 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-serialise", mValue = 106.87618396147991}),("transfer [100 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-store", mValue = 29.570143204555073}),("transfer [1000 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-binary", mValue = 5608.400530900662}),("transfer [1000 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-cereal", mValue = 2959.363396067027}),("transfer [1000 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-flat", mValue = 626.56853049044}),("transfer [1000 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-packman", mValue = 8113.582119084136}),("transfer [1000 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-persist", mValue = 649.180939145662}),("transfer [1000 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-serialise", mValue = 7384.299497315992}),("transfer [1000 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-store", mValue = 729.5199319923713}),("transfer [1000 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-binary", mValue = 4273.335937880804}),("transfer [1000 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-cereal", mValue = 2500.1373916599455}),("transfer [1000 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-flat", mValue = 662.1293382414884}),("transfer [1000 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-packman", mValue = 8854.486304218492}),("transfer [1000 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-persist", mValue = 816.2578424107368}),("transfer [1000 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-serialise", mValue = 4736.331343127698}),("transfer [1000 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-store", mValue = 799.2555834708909}),("transfer [1000 MBits] (time)/Cars-binary",Measure {mTest = "transfer [1000 MBits] (time)/Cars-binary", mValue = 173.0282256455197}),("transfer [1000 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [1000 MBits] (time)/Cars-cereal", mValue = 79.4043222014276}),("transfer [1000 MBits] (time)/Cars-flat",Measure {mTest = "transfer [1000 MBits] (time)/Cars-flat", mValue = 30.92003588260197}),("transfer [1000 MBits] (time)/Cars-packman",Measure {mTest = "transfer [1000 MBits] (time)/Cars-packman", mValue = 94.93850608770147}),("transfer [1000 MBits] (time)/Cars-persist",Measure {mTest = "transfer [1000 MBits] (time)/Cars-persist", mValue = 36.36484170197236}),("transfer [1000 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [1000 MBits] (time)/Cars-serialise", mValue = 164.7549486096813}),("transfer [1000 MBits] (time)/Cars-store",Measure {mTest = "transfer [1000 MBits] (time)/Cars-store", mValue = 35.00337080811762}),("transfer [1000 MBits] (time)/Iris-binary",Measure {mTest = "transfer [1000 MBits] (time)/Iris-binary", mValue = 531.2317817787423}),("transfer [1000 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [1000 MBits] (time)/Iris-cereal", mValue = 180.037796468158}),("transfer [1000 MBits] (time)/Iris-flat",Measure {mTest = "transfer [1000 MBits] (time)/Iris-flat", mValue = 78.34392987649134}),("transfer [1000 MBits] (time)/Iris-packman",Measure {mTest = "transfer [1000 MBits] (time)/Iris-packman", mValue = 162.68545366320345}),("transfer [1000 MBits] (time)/Iris-persist",Measure {mTest = "transfer [1000 MBits] (time)/Iris-persist", mValue = 129.41410998110774}),("transfer [1000 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [1000 MBits] (time)/Iris-serialise", mValue = 153.95129753437212}),("transfer [1000 MBits] (time)/Iris-store",Measure {mTest = "transfer [1000 MBits] (time)/Iris-store", mValue = 61.35342971563711}),("transfer [1000 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-binary", mValue = 64.17131758184907}),("transfer [1000 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-cereal", mValue = 29.585040580935022}),("transfer [1000 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-flat", mValue = 18.209733069967637}),("transfer [1000 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-packman", mValue = 224.03471906958458}),("transfer [1000 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-persist", mValue = 19.38779416692787}),("transfer [1000 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-serialise", mValue = 92.47603996147991}),("transfer [1000 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-store", mValue = 22.36956720455507})]
\ No newline at end of file
+fromList [("deserialization (time)/BinTree Direction-binary",Measure {mTest = "deserialization (time)/BinTree Direction-binary", mValue = 2176.9524154175692}),("deserialization (time)/BinTree Direction-cereal",Measure {mTest = "deserialization (time)/BinTree Direction-cereal", mValue = 1054.0080783054389}),("deserialization (time)/BinTree Direction-flat",Measure {mTest = "deserialization (time)/BinTree Direction-flat", mValue = 323.0545496044215}),("deserialization (time)/BinTree Direction-packman",Measure {mTest = "deserialization (time)/BinTree Direction-packman", mValue = 2371.7720900507024}),("deserialization (time)/BinTree Direction-persist",Measure {mTest = "deserialization (time)/BinTree Direction-persist", mValue = 286.32453326135874}),("deserialization (time)/BinTree Direction-serialise",Measure {mTest = "deserialization (time)/BinTree Direction-serialise", mValue = 2568.3735869824886}),("deserialization (time)/BinTree Direction-store",Measure {mTest = "deserialization (time)/BinTree Direction-store", mValue = 314.8924066343655}),("deserialization (time)/BinTree Direction-winery",Measure {mTest = "deserialization (time)/BinTree Direction-winery", mValue = 321.73960840019083}),("deserialization (time)/BinTree Int-binary",Measure {mTest = "deserialization (time)/BinTree Int-binary", mValue = 1301.9647551409435}),("deserialization (time)/BinTree Int-cereal",Measure {mTest = "deserialization (time)/BinTree Int-cereal", mValue = 360.9781318518799}),("deserialization (time)/BinTree Int-flat",Measure {mTest = "deserialization (time)/BinTree Int-flat", mValue = 354.4143141480163}),("deserialization (time)/BinTree Int-packman",Measure {mTest = "deserialization (time)/BinTree Int-packman", mValue = 2529.749316551412}),("deserialization (time)/BinTree Int-persist",Measure {mTest = "deserialization (time)/BinTree Int-persist", mValue = 290.21605603086454}),("deserialization (time)/BinTree Int-serialise",Measure {mTest = "deserialization (time)/BinTree Int-serialise", mValue = 1537.655603257008}),("deserialization (time)/BinTree Int-store",Measure {mTest = "deserialization (time)/BinTree Int-store", mValue = 276.4996135902281}),("deserialization (time)/BinTree Int-winery",Measure {mTest = "deserialization (time)/BinTree Int-winery", mValue = 443.42107250122353}),("deserialization (time)/Cars-binary",Measure {mTest = "deserialization (time)/Cars-binary", mValue = 90.38738467460794}),("deserialization (time)/Cars-cereal",Measure {mTest = "deserialization (time)/Cars-cereal", mValue = 38.012262728362565}),("deserialization (time)/Cars-flat",Measure {mTest = "deserialization (time)/Cars-flat", mValue = 15.709581037709093}),("deserialization (time)/Cars-packman",Measure {mTest = "deserialization (time)/Cars-packman", mValue = 30.543626258028137}),("deserialization (time)/Cars-persist",Measure {mTest = "deserialization (time)/Cars-persist", mValue = 12.641673073255753}),("deserialization (time)/Cars-serialise",Measure {mTest = "deserialization (time)/Cars-serialise", mValue = 99.66078158289382}),("deserialization (time)/Cars-store",Measure {mTest = "deserialization (time)/Cars-store", mValue = 13.711663701754361}),("deserialization (time)/Cars-winery",Measure {mTest = "deserialization (time)/Cars-winery", mValue = 16.622600126813456}),("deserialization (time)/Iris-binary",Measure {mTest = "deserialization (time)/Iris-binary", mValue = 223.19221700179492}),("deserialization (time)/Iris-cereal",Measure {mTest = "deserialization (time)/Iris-cereal", mValue = 87.60110641453117}),("deserialization (time)/Iris-flat",Measure {mTest = "deserialization (time)/Iris-flat", mValue = 27.86895893638522}),("deserialization (time)/Iris-packman",Measure {mTest = "deserialization (time)/Iris-packman", mValue = 56.391482345203606}),("deserialization (time)/Iris-persist",Measure {mTest = "deserialization (time)/Iris-persist", mValue = 29.049131540568737}),("deserialization (time)/Iris-serialise",Measure {mTest = "deserialization (time)/Iris-serialise", mValue = 70.33515303280785}),("deserialization (time)/Iris-store",Measure {mTest = "deserialization (time)/Iris-store", mValue = 23.010846029031946}),("deserialization (time)/Iris-winery",Measure {mTest = "deserialization (time)/Iris-winery", mValue = 46.41845372356601}),("deserialization (time)/[Direction]-binary",Measure {mTest = "deserialization (time)/[Direction]-binary", mValue = 37.54141736983209}),("deserialization (time)/[Direction]-cereal",Measure {mTest = "deserialization (time)/[Direction]-cereal", mValue = 12.295211258589621}),("deserialization (time)/[Direction]-flat",Measure {mTest = "deserialization (time)/[Direction]-flat", mValue = 9.42873441395142}),("deserialization (time)/[Direction]-packman",Measure {mTest = "deserialization (time)/[Direction]-packman", mValue = 72.88920906309052}),("deserialization (time)/[Direction]-persist",Measure {mTest = "deserialization (time)/[Direction]-persist", mValue = 9.242948033523604}),("deserialization (time)/[Direction]-serialise",Measure {mTest = "deserialization (time)/[Direction]-serialise", mValue = 38.6400875191176}),("deserialization (time)/[Direction]-store",Measure {mTest = "deserialization (time)/[Direction]-store", mValue = 11.293129772842232}),("deserialization (time)/[Direction]-winery",Measure {mTest = "deserialization (time)/[Direction]-winery", mValue = 10.088161146925188}),("serialization (time)/BinTree Direction-binary",Measure {mTest = "serialization (time)/BinTree Direction-binary", mValue = 1474.3521013200127}),("serialization (time)/BinTree Direction-cereal",Measure {mTest = "serialization (time)/BinTree Direction-cereal", mValue = 696.2612657225691}),("serialization (time)/BinTree Direction-flat",Measure {mTest = "serialization (time)/BinTree Direction-flat", mValue = 96.29221881230195}),("serialization (time)/BinTree Direction-packman",Measure {mTest = "serialization (time)/BinTree Direction-packman", mValue = 2731.0330050822813}),("serialization (time)/BinTree Direction-persist",Measure {mTest = "serialization (time)/BinTree Direction-persist", mValue = 63.38723586964641}),("serialization (time)/BinTree Direction-serialise",Measure {mTest = "serialization (time)/BinTree Direction-serialise", mValue = 2088.774263887899}),("serialization (time)/BinTree Direction-store",Measure {mTest = "serialization (time)/BinTree Direction-store", mValue = 78.11949078544295}),("serialization (time)/BinTree Direction-winery",Measure {mTest = "serialization (time)/BinTree Direction-winery", mValue = 123.39135732853764}),("serialization (time)/BinTree Int-binary",Measure {mTest = "serialization (time)/BinTree Int-binary", mValue = 1266.7607822125622}),("serialization (time)/BinTree Int-cereal",Measure {mTest = "serialization (time)/BinTree Int-cereal", mValue = 989.1014908110568}),("serialization (time)/BinTree Int-flat",Measure {mTest = "serialization (time)/BinTree Int-flat", mValue = 66.6512937050694}),("serialization (time)/BinTree Int-packman",Measure {mTest = "serialization (time)/BinTree Int-packman", mValue = 3230.5580219253898}),("serialization (time)/BinTree Int-persist",Measure {mTest = "serialization (time)/BinTree Int-persist", mValue = 76.44827202064104}),("serialization (time)/BinTree Int-serialise",Measure {mTest = "serialization (time)/BinTree Int-serialise", mValue = 1516.170322652518}),("serialization (time)/BinTree Int-store",Measure {mTest = "serialization (time)/BinTree Int-store", mValue = 71.57045810158996}),("serialization (time)/BinTree Int-winery",Measure {mTest = "serialization (time)/BinTree Int-winery", mValue = 49.72692191732989}),("serialization (time)/Cars-binary",Measure {mTest = "serialization (time)/Cars-binary", mValue = 30.789327065479707}),("serialization (time)/Cars-cereal",Measure {mTest = "serialization (time)/Cars-cereal", mValue = 14.833149738163383}),("serialization (time)/Cars-flat",Measure {mTest = "serialization (time)/Cars-flat", mValue = 4.325591935403189}),("serialization (time)/Cars-packman",Measure {mTest = "serialization (time)/Cars-packman", mValue = 23.533868777463358}),("serialization (time)/Cars-persist",Measure {mTest = "serialization (time)/Cars-persist", mValue = 5.655368858870023}),("serialization (time)/Cars-serialise",Measure {mTest = "serialization (time)/Cars-serialise", mValue = 42.31477532708586}),("serialization (time)/Cars-store",Measure {mTest = "serialization (time)/Cars-store", mValue = 2.1451241059468713}),("serialization (time)/Cars-winery",Measure {mTest = "serialization (time)/Cars-winery", mValue = 1.86031303964878}),("serialization (time)/Iris-binary",Measure {mTest = "serialization (time)/Iris-binary", mValue = 136.41330962751195}),("serialization (time)/Iris-cereal",Measure {mTest = "serialization (time)/Iris-cereal", mValue = 25.225825182329352}),("serialization (time)/Iris-flat",Measure {mTest = "serialization (time)/Iris-flat", mValue = 7.5639437514173355}),("serialization (time)/Iris-packman",Measure {mTest = "serialization (time)/Iris-packman", mValue = 39.43049954556405}),("serialization (time)/Iris-persist",Measure {mTest = "serialization (time)/Iris-persist", mValue = 5.501354001829529}),("serialization (time)/Iris-serialise",Measure {mTest = "serialization (time)/Iris-serialise", mValue = 22.258323429717084}),("serialization (time)/Iris-store",Measure {mTest = "serialization (time)/Iris-store", mValue = 1.4128569613512487}),("serialization (time)/Iris-winery",Measure {mTest = "serialization (time)/Iris-winery", mValue = 6.319313834187756}),("serialization (time)/[Direction]-binary",Measure {mTest = "serialization (time)/[Direction]-binary", mValue = 10.102391048839333}),("serialization (time)/[Direction]-cereal",Measure {mTest = "serialization (time)/[Direction]-cereal", mValue = 7.05243514048153}),("serialization (time)/[Direction]-flat",Measure {mTest = "serialization (time)/[Direction]-flat", mValue = 2.2106662290128822}),("serialization (time)/[Direction]-packman",Measure {mTest = "serialization (time)/[Direction]-packman", mValue = 55.3067711116023}),("serialization (time)/[Direction]-persist",Measure {mTest = "serialization (time)/[Direction]-persist", mValue = 1.736073518815888}),("serialization (time)/[Direction]-serialise",Measure {mTest = "serialization (time)/[Direction]-serialise", mValue = 15.43150124237007}),("serialization (time)/[Direction]-store",Measure {mTest = "serialization (time)/[Direction]-store", mValue = 1.5287877155365241}),("serialization (time)/[Direction]-winery",Measure {mTest = "serialization (time)/[Direction]-winery", mValue = 4.6864429903996605}),("size (bytes)/BinTree Direction-binary",Measure {mTest = "size (bytes)/BinTree Direction-binary", mValue = 6291455.0}),("size (bytes)/BinTree Direction-cereal",Measure {mTest = "size (bytes)/BinTree Direction-cereal", mValue = 6291455.0}),("size (bytes)/BinTree Direction-flat",Measure {mTest = "size (bytes)/BinTree Direction-flat", mValue = 1153278.0}),("size (bytes)/BinTree Direction-packman",Measure {mTest = "size (bytes)/BinTree Direction-packman", mValue = 1.00663336e8}),("size (bytes)/BinTree Direction-persist",Measure {mTest = "size (bytes)/BinTree Direction-persist", mValue = 6291455.0}),("size (bytes)/BinTree Direction-serialise",Measure {mTest = "size (bytes)/BinTree Direction-serialise", mValue = 1.258291e7}),("size (bytes)/BinTree Direction-store",Measure {mTest = "size (bytes)/BinTree Direction-store", mValue = 6291455.0}),("size (bytes)/BinTree Direction-winery",Measure {mTest = "size (bytes)/BinTree Direction-winery", mValue = 6291455.0}),("size (bytes)/BinTree Int-binary",Measure {mTest = "size (bytes)/BinTree Int-binary", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-cereal",Measure {mTest = "size (bytes)/BinTree Int-cereal", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-flat",Measure {mTest = "size (bytes)/BinTree Int-flat", mValue = 2621440.0}),("size (bytes)/BinTree Int-packman",Measure {mTest = "size (bytes)/BinTree Int-packman", mValue = 1.08361168e8}),("size (bytes)/BinTree Int-persist",Measure {mTest = "size (bytes)/BinTree Int-persist", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-serialise",Measure {mTest = "size (bytes)/BinTree Int-serialise", mValue = 1.0932526e7}),("size (bytes)/BinTree Int-store",Measure {mTest = "size (bytes)/BinTree Int-store", mValue = 2.0971519e7}),("size (bytes)/BinTree Int-winery",Measure {mTest = "size (bytes)/BinTree Int-winery", mValue = 6291455.0}),("size (bytes)/Cars-binary",Measure {mTest = "size (bytes)/Cars-binary", mValue = 702728.0}),("size (bytes)/Cars-cereal",Measure {mTest = "size (bytes)/Cars-cereal", mValue = 702728.0}),("size (bytes)/Cars-flat",Measure {mTest = "size (bytes)/Cars-flat", mValue = 114841.0}),("size (bytes)/Cars-packman",Measure {mTest = "size (bytes)/Cars-packman", mValue = 1299528.0}),("size (bytes)/Cars-persist",Measure {mTest = "size (bytes)/Cars-persist", mValue = 702728.0}),("size (bytes)/Cars-serialise",Measure {mTest = "size (bytes)/Cars-serialise", mValue = 610562.0}),("size (bytes)/Cars-store",Measure {mTest = "size (bytes)/Cars-store", mValue = 702728.0}),("size (bytes)/Cars-winery",Measure {mTest = "size (bytes)/Cars-winery", mValue = 299523.0}),("size (bytes)/Iris-binary",Measure {mTest = "size (bytes)/Iris-binary", mValue = 7575008.0}),("size (bytes)/Iris-cereal",Measure {mTest = "size (bytes)/Iris-cereal", mValue = 2475008.0}),("size (bytes)/Iris-flat",Measure {mTest = "size (bytes)/Iris-flat", mValue = 2425001.0}),("size (bytes)/Iris-packman",Measure {mTest = "size (bytes)/Iris-packman", mValue = 2416872.0}),("size (bytes)/Iris-persist",Measure {mTest = "size (bytes)/Iris-persist", mValue = 2475008.0}),("size (bytes)/Iris-serialise",Measure {mTest = "size (bytes)/Iris-serialise", mValue = 3000002.0}),("size (bytes)/Iris-store",Measure {mTest = "size (bytes)/Iris-store", mValue = 2475008.0}),("size (bytes)/Iris-winery",Measure {mTest = "size (bytes)/Iris-winery", mValue = 2475003.0}),("size (bytes)/[Direction]-binary",Measure {mTest = "size (bytes)/[Direction]-binary", mValue = 100008.0}),("size (bytes)/[Direction]-cereal",Measure {mTest = "size (bytes)/[Direction]-cereal", mValue = 100008.0}),("size (bytes)/[Direction]-flat",Measure {mTest = "size (bytes)/[Direction]-flat", mValue = 42491.0}),("size (bytes)/[Direction]-packman",Measure {mTest = "size (bytes)/[Direction]-packman", mValue = 3200072.0}),("size (bytes)/[Direction]-persist",Measure {mTest = "size (bytes)/[Direction]-persist", mValue = 100008.0}),("size (bytes)/[Direction]-serialise",Measure {mTest = "size (bytes)/[Direction]-serialise", mValue = 200002.0}),("size (bytes)/[Direction]-store",Measure {mTest = "size (bytes)/[Direction]-store", mValue = 100008.0}),("size (bytes)/[Direction]-winery",Measure {mTest = "size (bytes)/[Direction]-winery", mValue = 100003.0}),("transfer [10 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-binary", mValue = 8684.468516737583}),("transfer [10 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-cereal", mValue = 6783.433344028008}),("transfer [10 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-flat", mValue = 1341.9691684167233}),("transfer [10 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-packman", mValue = 85633.47389513298}),("transfer [10 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-persist", mValue = 5382.875769131005}),("transfer [10 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-serialise", mValue = 14723.475850870387}),("transfer [10 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-store", mValue = 5426.175897419808}),("transfer [10 MBits] (time)/BinTree Direction-winery",Measure {mTest = "transfer [10 MBits] (time)/BinTree Direction-winery", mValue = 5478.294965728728}),("transfer [10 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-binary", mValue = 19345.940737353503}),("transfer [10 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-cereal", mValue = 18127.294822662934}),("transfer [10 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-flat", mValue = 2518.2176078530856}),("transfer [10 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-packman", mValue = 92449.2417384768}),("transfer [10 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-persist", mValue = 17143.879528051504}),("transfer [10 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-serialise", mValue = 11799.846725909527}),("transfer [10 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-store", mValue = 17125.285271691817}),("transfer [10 MBits] (time)/BinTree Int-winery",Measure {mTest = "transfer [10 MBits] (time)/BinTree Int-winery", mValue = 5526.311994418553}),("transfer [10 MBits] (time)/Cars-binary",Measure {mTest = "transfer [10 MBits] (time)/Cars-binary", mValue = 683.3591117400877}),("transfer [10 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [10 MBits] (time)/Cars-cereal", mValue = 615.027812466526}),("transfer [10 MBits] (time)/Cars-flat",Measure {mTest = "transfer [10 MBits] (time)/Cars-flat", mValue = 111.90797297311228}),("transfer [10 MBits] (time)/Cars-packman",Measure {mTest = "transfer [10 MBits] (time)/Cars-packman", mValue = 1093.6998950354914}),("transfer [10 MBits] (time)/Cars-persist",Measure {mTest = "transfer [10 MBits] (time)/Cars-persist", mValue = 580.4794419321258}),("transfer [10 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [10 MBits] (time)/Cars-serialise", mValue = 630.4251569099797}),("transfer [10 MBits] (time)/Cars-store",Measure {mTest = "transfer [10 MBits] (time)/Cars-store", mValue = 578.0391878077013}),("transfer [10 MBits] (time)/Cars-winery",Measure {mTest = "transfer [10 MBits] (time)/Cars-winery", mValue = 258.10131316646226}),("transfer [10 MBits] (time)/Iris-binary",Measure {mTest = "transfer [10 MBits] (time)/Iris-binary", mValue = 6419.611926629307}),("transfer [10 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [10 MBits] (time)/Iris-cereal", mValue = 2092.8333315968607}),("transfer [10 MBits] (time)/Iris-flat",Measure {mTest = "transfer [10 MBits] (time)/Iris-flat", mValue = 1975.4337026878027}),("transfer [10 MBits] (time)/Iris-packman",Measure {mTest = "transfer [10 MBits] (time)/Iris-packman", mValue = 2029.3195818907675}),("transfer [10 MBits] (time)/Iris-persist",Measure {mTest = "transfer [10 MBits] (time)/Iris-persist", mValue = 2014.5568855423983}),("transfer [10 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [10 MBits] (time)/Iris-serialise", mValue = 2492.595076462525}),("transfer [10 MBits] (time)/Iris-store",Measure {mTest = "transfer [10 MBits] (time)/Iris-store", mValue = 2004.4301029903831}),("transfer [10 MBits] (time)/Iris-winery",Measure {mTest = "transfer [10 MBits] (time)/Iris-winery", mValue = 2032.740167557754}),("transfer [10 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-binary", mValue = 127.65020841867143}),("transfer [10 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-cereal", mValue = 99.35404639907115}),("transfer [10 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-flat", mValue = 45.63220064296431}),("transfer [10 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-packman", mValue = 2688.253580174693}),("transfer [10 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-persist", mValue = 90.98542155233949}),("transfer [10 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-serialise", mValue = 214.07318876148767}),("transfer [10 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-store", mValue = 92.82831748837876}),("transfer [10 MBits] (time)/[Direction]-winery",Measure {mTest = "transfer [10 MBits] (time)/[Direction]-winery", mValue = 94.77700413732484}),("transfer [100 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-binary", mValue = 4154.620916737582}),("transfer [100 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-cereal", mValue = 2253.585744028008}),("transfer [100 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-flat", mValue = 511.60900841672344}),("transfer [100 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-packman", mValue = 13155.871975132985}),("transfer [100 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-persist", mValue = 853.0281691310051}),("transfer [100 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-serialise", mValue = 5663.780650870388}),("transfer [100 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-store", mValue = 896.3282974198085}),("transfer [100 MBits] (time)/BinTree Direction-winery",Measure {mTest = "transfer [100 MBits] (time)/BinTree Direction-winery", mValue = 948.4473657287285}),("transfer [100 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-binary", mValue = 4246.447057353505}),("transfer [100 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-cereal", mValue = 3027.801142662937}),("transfer [100 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-flat", mValue = 630.7808078530857}),("transfer [100 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-packman", mValue = 14429.200778476801}),("transfer [100 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-persist", mValue = 2044.3858480515055}),("transfer [100 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-serialise", mValue = 3928.428005909526}),("transfer [100 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-store", mValue = 2025.7915916918182}),("transfer [100 MBits] (time)/BinTree Int-winery",Measure {mTest = "transfer [100 MBits] (time)/BinTree Int-winery", mValue = 996.4643944185534}),("transfer [100 MBits] (time)/Cars-binary",Measure {mTest = "transfer [100 MBits] (time)/Cars-binary", mValue = 177.39495174008766}),("transfer [100 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [100 MBits] (time)/Cars-cereal", mValue = 109.06365246652595}),("transfer [100 MBits] (time)/Cars-flat",Measure {mTest = "transfer [100 MBits] (time)/Cars-flat", mValue = 29.222452973112283}),("transfer [100 MBits] (time)/Cars-packman",Measure {mTest = "transfer [100 MBits] (time)/Cars-packman", mValue = 158.0397350354915}),("transfer [100 MBits] (time)/Cars-persist",Measure {mTest = "transfer [100 MBits] (time)/Cars-persist", mValue = 74.51528193212577}),("transfer [100 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [100 MBits] (time)/Cars-serialise", mValue = 190.8205169099797}),("transfer [100 MBits] (time)/Cars-store",Measure {mTest = "transfer [100 MBits] (time)/Cars-store", mValue = 72.07502780770123}),("transfer [100 MBits] (time)/Cars-winery",Measure {mTest = "transfer [100 MBits] (time)/Cars-winery", mValue = 42.444753166462235}),("transfer [100 MBits] (time)/Iris-binary",Measure {mTest = "transfer [100 MBits] (time)/Iris-binary", mValue = 965.6061666293068}),("transfer [100 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [100 MBits] (time)/Iris-cereal", mValue = 310.82757159686054}),("transfer [100 MBits] (time)/Iris-flat",Measure {mTest = "transfer [100 MBits] (time)/Iris-flat", mValue = 229.43298268780256}),("transfer [100 MBits] (time)/Iris-packman",Measure {mTest = "transfer [100 MBits] (time)/Iris-packman", mValue = 289.17174189076763}),("transfer [100 MBits] (time)/Iris-persist",Measure {mTest = "transfer [100 MBits] (time)/Iris-persist", mValue = 232.55112554239827}),("transfer [100 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [100 MBits] (time)/Iris-serialise", mValue = 332.59363646252496}),("transfer [100 MBits] (time)/Iris-store",Measure {mTest = "transfer [100 MBits] (time)/Iris-store", mValue = 222.4243429903832}),("transfer [100 MBits] (time)/Iris-winery",Measure {mTest = "transfer [100 MBits] (time)/Iris-winery", mValue = 250.73800755775375}),("transfer [100 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-binary", mValue = 55.64444841867143}),("transfer [100 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-cereal", mValue = 27.348286399071153}),("transfer [100 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-flat", mValue = 15.038680642964302}),("transfer [100 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-packman", mValue = 384.2017401746928}),("transfer [100 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-persist", mValue = 18.979661552339493}),("transfer [100 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-serialise", mValue = 70.07174876148767}),("transfer [100 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-store", mValue = 20.822557488378756}),("transfer [100 MBits] (time)/[Direction]-winery",Measure {mTest = "transfer [100 MBits] (time)/[Direction]-winery", mValue = 22.77484413732485}),("transfer [1000 MBits] (time)/BinTree Direction-binary",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-binary", mValue = 3701.636156737582}),("transfer [1000 MBits] (time)/BinTree Direction-cereal",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-cereal", mValue = 1800.600984028008}),("transfer [1000 MBits] (time)/BinTree Direction-flat",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-flat", mValue = 428.5729924167234}),("transfer [1000 MBits] (time)/BinTree Direction-packman",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-packman", mValue = 5908.111783132984}),("transfer [1000 MBits] (time)/BinTree Direction-persist",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-persist", mValue = 400.04340913100515}),("transfer [1000 MBits] (time)/BinTree Direction-serialise",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-serialise", mValue = 4757.811130870387}),("transfer [1000 MBits] (time)/BinTree Direction-store",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-store", mValue = 443.34353741980846}),("transfer [1000 MBits] (time)/BinTree Direction-winery",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Direction-winery", mValue = 495.4626057287285}),("transfer [1000 MBits] (time)/BinTree Int-binary",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-binary", mValue = 2736.4976893535054}),("transfer [1000 MBits] (time)/BinTree Int-cereal",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-cereal", mValue = 1517.8517746629368}),("transfer [1000 MBits] (time)/BinTree Int-flat",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-flat", mValue = 442.0371278530857}),("transfer [1000 MBits] (time)/BinTree Int-packman",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-packman", mValue = 6627.1966824768015}),("transfer [1000 MBits] (time)/BinTree Int-persist",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-persist", mValue = 534.4364800515056}),("transfer [1000 MBits] (time)/BinTree Int-serialise",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-serialise", mValue = 3141.2861339095257}),("transfer [1000 MBits] (time)/BinTree Int-store",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-store", mValue = 515.842223691818}),("transfer [1000 MBits] (time)/BinTree Int-winery",Measure {mTest = "transfer [1000 MBits] (time)/BinTree Int-winery", mValue = 543.4796344185535}),("transfer [1000 MBits] (time)/Cars-binary",Measure {mTest = "transfer [1000 MBits] (time)/Cars-binary", mValue = 126.79853574008766}),("transfer [1000 MBits] (time)/Cars-cereal",Measure {mTest = "transfer [1000 MBits] (time)/Cars-cereal", mValue = 58.46723646652595}),("transfer [1000 MBits] (time)/Cars-flat",Measure {mTest = "transfer [1000 MBits] (time)/Cars-flat", mValue = 20.953900973112283}),("transfer [1000 MBits] (time)/Cars-packman",Measure {mTest = "transfer [1000 MBits] (time)/Cars-packman", mValue = 64.4737190354915}),("transfer [1000 MBits] (time)/Cars-persist",Measure {mTest = "transfer [1000 MBits] (time)/Cars-persist", mValue = 23.918865932125776}),("transfer [1000 MBits] (time)/Cars-serialise",Measure {mTest = "transfer [1000 MBits] (time)/Cars-serialise", mValue = 146.8600529099797}),("transfer [1000 MBits] (time)/Cars-store",Measure {mTest = "transfer [1000 MBits] (time)/Cars-store", mValue = 21.478611807701235}),("transfer [1000 MBits] (time)/Cars-winery",Measure {mTest = "transfer [1000 MBits] (time)/Cars-winery", mValue = 20.879097166462238}),("transfer [1000 MBits] (time)/Iris-binary",Measure {mTest = "transfer [1000 MBits] (time)/Iris-binary", mValue = 420.2055906293068}),("transfer [1000 MBits] (time)/Iris-cereal",Measure {mTest = "transfer [1000 MBits] (time)/Iris-cereal", mValue = 132.62699559686052}),("transfer [1000 MBits] (time)/Iris-flat",Measure {mTest = "transfer [1000 MBits] (time)/Iris-flat", mValue = 54.83291068780255}),("transfer [1000 MBits] (time)/Iris-packman",Measure {mTest = "transfer [1000 MBits] (time)/Iris-packman", mValue = 115.15695789076766}),("transfer [1000 MBits] (time)/Iris-persist",Measure {mTest = "transfer [1000 MBits] (time)/Iris-persist", mValue = 54.35054954239826}),("transfer [1000 MBits] (time)/Iris-serialise",Measure {mTest = "transfer [1000 MBits] (time)/Iris-serialise", mValue = 116.59349246252494}),("transfer [1000 MBits] (time)/Iris-store",Measure {mTest = "transfer [1000 MBits] (time)/Iris-store", mValue = 44.2237669903832}),("transfer [1000 MBits] (time)/Iris-winery",Measure {mTest = "transfer [1000 MBits] (time)/Iris-winery", mValue = 72.53779155775376}),("transfer [1000 MBits] (time)/[Direction]-binary",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-binary", mValue = 48.443872418671425}),("transfer [1000 MBits] (time)/[Direction]-cereal",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-cereal", mValue = 20.14771039907115}),("transfer [1000 MBits] (time)/[Direction]-flat",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-flat", mValue = 11.979328642964301}),("transfer [1000 MBits] (time)/[Direction]-packman",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-packman", mValue = 153.7965561746928}),("transfer [1000 MBits] (time)/[Direction]-persist",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-persist", mValue = 11.779085552339492}),("transfer [1000 MBits] (time)/[Direction]-serialise",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-serialise", mValue = 55.67160476148767}),("transfer [1000 MBits] (time)/[Direction]-store",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-store", mValue = 13.621981488378756}),("transfer [1000 MBits] (time)/[Direction]-winery",Measure {mTest = "transfer [1000 MBits] (time)/[Direction]-winery", mValue = 15.574628137324849})]
\ No newline at end of file
diff --git a/report.html b/report.html
index c461e5e..7d94830 100644
--- a/report.html
+++ b/report.html
@@ -307,22 +307,22 @@ <h2><a name="b0">serialization (time)/[Direction]-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.2646294422197628e-3</span></td>
-    <td><span class="time">3.285647216824661e-3</span></td>
-    <td><span class="confinterval citime">3.3577692425398485e-3</span></td>
+    <td><span class="confinterval citime">2.209133172516637e-3</span></td>
+    <td><span class="time">2.210666229012882e-3</span></td>
+    <td><span class="confinterval citime">2.213373456543088e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.435706554895039e-5</span></td>
-    <td><span class="time">1.0970326771234805e-4</span></td>
-    <td><span class="confinterval citime">2.0849135803638734e-4</span></td>
+    <td><span class="confinterval citime">5.042698894302503e-6</span></td>
+    <td><span class="time">6.457942588284099e-6</span></td>
+    <td><span class="confinterval citime">8.584491689178253e-6</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.17723440641179172</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">1.785123966942146e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b1">serialization (time)/[Direction]-store</a></h2>
@@ -365,22 +365,22 @@ <h2><a name="b1">serialization (time)/[Direction]-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.8350745435615538e-3</span></td>
-    <td><span class="time">2.851030711321595e-3</span></td>
-    <td><span class="confinterval citime">2.8968482750935873e-3</span></td>
+    <td><span class="confinterval citime">1.5275596039931014e-3</span></td>
+    <td><span class="time">1.5287877155365241e-3</span></td>
+    <td><span class="confinterval citime">1.5310120652159255e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.307579673180765e-5</span></td>
-    <td><span class="time">7.760744850982908e-5</span></td>
-    <td><span class="confinterval citime">1.4782889609618995e-4</span></td>
+    <td><span class="confinterval citime">3.5643693988175552e-6</span></td>
+    <td><span class="time">5.490829801133763e-6</span></td>
+    <td><span class="confinterval citime">8.483196595802858e-6</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.12946552793564234</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">1.586888657648283e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b2">serialization (time)/[Direction]-binary</a></h2>
@@ -423,22 +423,22 @@ <h2><a name="b2">serialization (time)/[Direction]-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.4570694113046933e-2</span></td>
-    <td><span class="time">1.4652089110385737e-2</span></td>
-    <td><span class="confinterval citime">1.4903675062397809e-2</span></td>
+    <td><span class="confinterval citime">1.0093365336789183e-2</span></td>
+    <td><span class="time">1.0102391048839334e-2</span></td>
+    <td><span class="confinterval citime">1.0112572915416371e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.3838127908872072e-4</span></td>
-    <td><span class="time">3.090918581057022e-4</span></td>
-    <td><span class="confinterval citime">5.716122251377199e-4</span></td>
+    <td><span class="confinterval citime">2.1201359723258338e-5</span></td>
+    <td><span class="time">2.6429029269679366e-5</span></td>
+    <td><span class="confinterval citime">3.5157006118477445e-5</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have slight
-     (<span class="percent">3.84e-2</span>%)
+     (<span class="percent">3.222222222222222e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b3">serialization (time)/[Direction]-cereal</a></h2>
@@ -481,22 +481,22 @@ <h2><a name="b3">serialization (time)/[Direction]-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">9.942046923153916e-3</span></td>
-    <td><span class="time">1.0068748845096913e-2</span></td>
-    <td><span class="confinterval citime">1.0441527131181925e-2</span></td>
+    <td><span class="confinterval citime">7.044880651137497e-3</span></td>
+    <td><span class="time">7.05243514048153e-3</span></td>
+    <td><span class="confinterval citime">7.064649602113696e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.142134632495482e-4</span></td>
-    <td><span class="time">5.230162589403665e-4</span></td>
-    <td><span class="confinterval citime">9.7478126130488e-4</span></td>
+    <td><span class="confinterval citime">2.0191822956969027e-5</span></td>
+    <td><span class="time">2.8644484559869486e-5</span></td>
+    <td><span class="confinterval citime">4.629925659569388e-5</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.2529402596694595</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">2.7755102040816326e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b4">serialization (time)/[Direction]-persist</a></h2>
@@ -539,22 +539,22 @@ <h2><a name="b4">serialization (time)/[Direction]-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.5555151269241695e-3</span></td>
-    <td><span class="time">2.56588818238837e-3</span></td>
-    <td><span class="confinterval citime">2.5900710185505853e-3</span></td>
+    <td><span class="confinterval citime">1.7083055418295869e-3</span></td>
+    <td><span class="time">1.736073518815888e-3</span></td>
+    <td><span class="confinterval citime">1.8420809469668997e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.3147498510973096e-5</span></td>
-    <td><span class="time">5.120376376911583e-5</span></td>
-    <td><span class="confinterval citime">1.0185476397745449e-4</span></td>
+    <td><span class="confinterval citime">1.0825205267529298e-5</span></td>
+    <td><span class="time">1.7380924281534024e-4</span></td>
+    <td><span class="confinterval citime">3.6886199753749673e-4</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have slight
-     (<span class="percent">7.245828051314972e-2</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.7033224318352228</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b5">serialization (time)/[Direction]-packman</a></h2>
@@ -597,22 +597,22 @@ <h2><a name="b5">serialization (time)/[Direction]-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">7.308268117969707e-2</span></td>
-    <td><span class="time">8.070668005014933e-2</span></td>
-    <td><span class="confinterval citime">9.570764788056887e-2</span></td>
+    <td><span class="confinterval citime">5.174031215724531e-2</span></td>
+    <td><span class="time">5.53067711116023e-2</span></td>
+    <td><span class="confinterval citime">6.1377530248982945e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.17209467285387e-2</span></td>
-    <td><span class="time">1.7145401364631847e-2</span></td>
-    <td><span class="confinterval citime">2.264157023677353e-2</span></td>
+    <td><span class="confinterval citime">4.882382535612645e-3</span></td>
+    <td><span class="time">8.658032355923401e-3</span></td>
+    <td><span class="confinterval citime">1.387334035479617e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.6830355509874485</span>%)
+     (<span class="percent">0.5968113551805985</span>%)
      effect on estimated standard deviation.</p>
  </span>
 <h2><a name="b6">serialization (time)/[Direction]-serialise</a></h2>
@@ -655,25 +655,25 @@ <h2><a name="b6">serialization (time)/[Direction]-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.525506210929451e-2</span></td>
-    <td><span class="time">2.5490990176590504e-2</span></td>
-    <td><span class="confinterval citime">2.620766489616758e-2</span></td>
+    <td><span class="confinterval citime">1.5246058363701097e-2</span></td>
+    <td><span class="time">1.543150124237007e-2</span></td>
+    <td><span class="confinterval citime">1.5686755105207832e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.686997709052892e-4</span></td>
-    <td><span class="time">7.977298801662893e-4</span></td>
-    <td><span class="confinterval citime">1.5773745956640891e-3</span></td>
+    <td><span class="confinterval citime">4.0114330687145307e-4</span></td>
+    <td><span class="time">5.644101945594223e-4</span></td>
+    <td><span class="confinterval citime">8.326482401280099e-4</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have slight
-     (<span class="percent">9.595891784467617e-2</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.11739576608913133</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b7">deserialization (time)/[Direction]-flat</a></h2>
+<h2><a name="b7">serialization (time)/[Direction]-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -713,25 +713,25 @@ <h2><a name="b7">deserialization (time)/[Direction]-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.2947525796544193e-2</span></td>
-    <td><span class="time">1.4584213853142977e-2</span></td>
-    <td><span class="confinterval citime">1.796807469234217e-2</span></td>
+    <td><span class="confinterval citime">4.598428087821028e-3</span></td>
+    <td><span class="time">4.686442990399661e-3</span></td>
+    <td><span class="confinterval citime">5.021350165375818e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.7429703203915076e-3</span></td>
-    <td><span class="time">5.773514614979235e-3</span></td>
-    <td><span class="confinterval citime">9.37159327035618e-3</span></td>
+    <td><span class="confinterval citime">2.5458526385320815e-5</span></td>
+    <td><span class="time">5.099899914362584e-4</span></td>
+    <td><span class="confinterval citime">1.0734171374952221e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9563245713851727</span>%)
+     (<span class="percent">0.6527045395458304</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b8">deserialization (time)/[Direction]-store</a></h2>
+<h2><a name="b8">deserialization (time)/[Direction]-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -771,25 +771,25 @@ <h2><a name="b8">deserialization (time)/[Direction]-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.638410052623323e-2</span></td>
-    <td><span class="time">1.8718472493233478e-2</span></td>
-    <td><span class="confinterval citime">2.3161573890582716e-2</span></td>
+    <td><span class="confinterval citime">8.604286522641955e-3</span></td>
+    <td><span class="time">9.42873441395142e-3</span></td>
+    <td><span class="confinterval citime">1.0907966250444547e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.406102610496601e-3</span></td>
-    <td><span class="time">7.093695889136238e-3</span></td>
-    <td><span class="confinterval citime">1.1619595332534519e-2</span></td>
+    <td><span class="confinterval citime">2.097536250333314e-3</span></td>
+    <td><span class="time">2.8865938977382984e-3</span></td>
+    <td><span class="confinterval citime">4.33192050147359e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9500395057518951</span>%)
+     (<span class="percent">0.9307777144425013</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b9">deserialization (time)/[Direction]-binary</a></h2>
+<h2><a name="b9">deserialization (time)/[Direction]-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -829,25 +829,25 @@ <h2><a name="b9">deserialization (time)/[Direction]-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">4.673474719666552e-2</span></td>
-    <td><span class="time">4.871916447146333e-2</span></td>
-    <td><span class="confinterval citime">5.976102707806614e-2</span></td>
+    <td><span class="confinterval citime">1.0245228858752193e-2</span></td>
+    <td><span class="time">1.1293129772842232e-2</span></td>
+    <td><span class="confinterval citime">1.282987489574035e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.807222182304496e-4</span></td>
-    <td><span class="time">6.778798893440585e-3</span></td>
-    <td><span class="confinterval citime">1.289674460315608e-2</span></td>
+    <td><span class="confinterval citime">2.5110239464009075e-3</span></td>
+    <td><span class="time">3.461629275893616e-3</span></td>
+    <td><span class="confinterval citime">4.8808477368888084e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.5204612190133728</span>%)
+     (<span class="percent">0.9234503651400425</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b10">deserialization (time)/[Direction]-cereal</a></h2>
+<h2><a name="b10">deserialization (time)/[Direction]-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -887,25 +887,25 @@ <h2><a name="b10">deserialization (time)/[Direction]-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.6985428363925876e-2</span></td>
-    <td><span class="time">1.871622773583811e-2</span></td>
-    <td><span class="confinterval citime">2.2225023740456224e-2</span></td>
+    <td><span class="confinterval citime">3.596173887218375e-2</span></td>
+    <td><span class="time">3.754141736983209e-2</span></td>
+    <td><span class="confinterval citime">4.063957771858017e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.596932317595583e-3</span></td>
-    <td><span class="time">5.79232625397988e-3</span></td>
-    <td><span class="confinterval citime">8.76006333479233e-3</span></td>
+    <td><span class="confinterval citime">2.377820476242546e-3</span></td>
+    <td><span class="time">4.524075555722759e-3</span></td>
+    <td><span class="confinterval citime">6.625175125795998e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.9029625728489019</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.4510458418930839</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b11">deserialization (time)/[Direction]-persist</a></h2>
+<h2><a name="b11">deserialization (time)/[Direction]-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -945,25 +945,25 @@ <h2><a name="b11">deserialization (time)/[Direction]-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.4172441241208322e-2</span></td>
-    <td><span class="time">1.60218419845395e-2</span></td>
-    <td><span class="confinterval citime">1.913725933386448e-2</span></td>
+    <td><span class="confinterval citime">1.1352022680097497e-2</span></td>
+    <td><span class="time">1.229521125858962e-2</span></td>
+    <td><span class="confinterval citime">1.3891918621561625e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.9892217214459124e-3</span></td>
-    <td><span class="time">5.62519557897599e-3</span></td>
-    <td><span class="confinterval citime">8.519437166227863e-3</span></td>
+    <td><span class="confinterval citime">2.2060861406362903e-3</span></td>
+    <td><span class="time">3.1384790765934213e-3</span></td>
+    <td><span class="confinterval citime">4.363562523249933e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9534827763855495</span>%)
+     (<span class="percent">0.8818713515491928</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b12">deserialization (time)/[Direction]-packman</a></h2>
+<h2><a name="b12">deserialization (time)/[Direction]-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1003,25 +1003,25 @@ <h2><a name="b12">deserialization (time)/[Direction]-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.10221830760128796</span></td>
-    <td><span class="time">0.11772746301943525</span></td>
-    <td><span class="confinterval citime">0.14445950759330853</span></td>
+    <td><span class="confinterval citime">8.408898187635813e-3</span></td>
+    <td><span class="time">9.242948033523603e-3</span></td>
+    <td><span class="confinterval citime">1.059058214917531e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.615229811252301e-2</span></td>
-    <td><span class="time">2.92633255055366e-2</span></td>
-    <td><span class="confinterval citime">4.38161080728568e-2</span></td>
+    <td><span class="confinterval citime">1.9527456676407492e-3</span></td>
+    <td><span class="time">2.8902101740199133e-3</span></td>
+    <td><span class="confinterval citime">4.219873950981354e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.7322188117436272</span>%)
+     (<span class="percent">0.9309726602646827</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b13">deserialization (time)/[Direction]-serialise</a></h2>
+<h2><a name="b13">deserialization (time)/[Direction]-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1061,25 +1061,25 @@ <h2><a name="b13">deserialization (time)/[Direction]-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">6.290666097492882e-2</span></td>
-    <td><span class="time">6.538503378488941e-2</span></td>
-    <td><span class="confinterval citime">7.245694203012715e-2</span></td>
+    <td><span class="confinterval citime">6.45326401883436e-2</span></td>
+    <td><span class="time">7.288920906309052e-2</span></td>
+    <td><span class="confinterval citime">9.002268803507509e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">6.381742782674248e-4</span></td>
-    <td><span class="time">7.625834057640426e-3</span></td>
-    <td><span class="confinterval citime">1.2920974200848595e-2</span></td>
+    <td><span class="confinterval citime">9.514838286873231e-3</span></td>
+    <td><span class="time">2.0488270070752983e-2</span></td>
+    <td><span class="confinterval citime">3.249886016464859e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.4329697998417835</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.806146907147704</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b14">serialization (time)/BinTree Int-flat</a></h2>
+<h2><a name="b14">deserialization (time)/[Direction]-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1119,25 +1119,25 @@ <h2><a name="b14">serialization (time)/BinTree Int-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">8.957573620602488e-2</span></td>
-    <td><span class="time">9.015405184012794e-2</span></td>
-    <td><span class="confinterval citime">9.132556873063247e-2</span></td>
+    <td><span class="confinterval citime">3.723347129798151e-2</span></td>
+    <td><span class="time">3.86400875191176e-2</span></td>
+    <td><span class="confinterval citime">4.16411957661422e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">8.040030908074525e-4</span></td>
-    <td><span class="time">1.3172222802491234e-3</span></td>
-    <td><span class="confinterval citime">2.0012431156300795e-3</span></td>
+    <td><span class="confinterval citime">2.3601597684098745e-4</span></td>
+    <td><span class="time">3.8980083473659334e-3</span></td>
+    <td><span class="confinterval citime">6.519390632240008e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have slight
-     (<span class="percent">9.000000000000001e-2</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.38362280866803294</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b15">serialization (time)/BinTree Int-store</a></h2>
+<h2><a name="b15">deserialization (time)/[Direction]-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1177,25 +1177,25 @@ <h2><a name="b15">serialization (time)/BinTree Int-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.10418532884990175</span></td>
-    <td><span class="time">0.1152910949041446</span></td>
-    <td><span class="confinterval citime">0.13310434995219111</span></td>
+    <td><span class="confinterval citime">9.165706728845398e-3</span></td>
+    <td><span class="time">1.0088161146925187e-2</span></td>
+    <td><span class="confinterval citime">1.1666114547173943e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.457569902353972e-2</span></td>
-    <td><span class="time">2.1357114926032202e-2</span></td>
-    <td><span class="confinterval citime">2.902542869462595e-2</span></td>
+    <td><span class="confinterval citime">2.392361355357582e-3</span></td>
+    <td><span class="time">3.2559068081825194e-3</span></td>
+    <td><span class="confinterval citime">4.992700484033036e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.6027670837693367</span>%)
+     (<span class="percent">0.9289776889474657</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b16">serialization (time)/BinTree Int-binary</a></h2>
+<h2><a name="b16">serialization (time)/BinTree Int-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1235,25 +1235,25 @@ <h2><a name="b16">serialization (time)/BinTree Int-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.0329313029845553</span></td>
-    <td><span class="time">2.106786302446077</span></td>
-    <td><span class="confinterval citime">2.211939285043627</span></td>
+    <td><span class="confinterval citime">6.560508146958323e-2</span></td>
+    <td><span class="time">6.66512937050694e-2</span></td>
+    <td><span class="confinterval citime">7.060095814878337e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.694145263187564e-2</span></td>
-    <td><span class="time">0.10123160997399919</span></td>
-    <td><span class="confinterval citime">0.13489093193351262</span></td>
+    <td><span class="confinterval citime">2.9915204229125514e-4</span></td>
+    <td><span class="time">3.234164743382942e-3</span></td>
+    <td><span class="confinterval citime">5.66048153097538e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">8.592329082361841e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b17">serialization (time)/BinTree Int-cereal</a></h2>
+<h2><a name="b17">serialization (time)/BinTree Int-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1293,25 +1293,25 @@ <h2><a name="b17">serialization (time)/BinTree Int-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.7087390492670238</span></td>
-    <td><span class="time">1.7617968303772311</span></td>
-    <td><span class="confinterval citime">1.7930487991931539</span></td>
+    <td><span class="confinterval citime">6.690375534350725e-2</span></td>
+    <td><span class="time">7.157045810158996e-2</span></td>
+    <td><span class="confinterval citime">7.83366536093986e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.8892313043276432e-2</span></td>
-    <td><span class="time">5.250307747557709e-2</span></td>
-    <td><span class="confinterval citime">7.217333043431513e-2</span></td>
+    <td><span class="confinterval citime">7.083173956326289e-3</span></td>
+    <td><span class="time">9.930148830276864e-3</span></td>
+    <td><span class="confinterval citime">1.4662418232859672e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.1875</span>%)
+     (<span class="percent">0.43930008142200105</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b18">serialization (time)/BinTree Int-persist</a></h2>
+<h2><a name="b18">serialization (time)/BinTree Int-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1351,25 +1351,25 @@ <h2><a name="b18">serialization (time)/BinTree Int-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.10004156422136085</span></td>
-    <td><span class="time">0.11099936570306973</span></td>
-    <td><span class="confinterval citime">0.12850066018290818</span></td>
+    <td><span class="confinterval citime">1.2295896753494162</span></td>
+    <td><span class="time">1.2667607822125622</span></td>
+    <td><span class="confinterval citime">1.3101231538069744</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.6135465687986256e-2</span></td>
-    <td><span class="time">2.131646914800126e-2</span></td>
-    <td><span class="confinterval citime">2.7654228717925045e-2</span></td>
+    <td><span class="confinterval citime">1.7760912810141805e-2</span></td>
+    <td><span class="time">4.728210740018397e-2</span></td>
+    <td><span class="confinterval citime">6.533445863007709e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.6043128564558429</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b19">serialization (time)/BinTree Int-packman</a></h2>
+<h2><a name="b19">serialization (time)/BinTree Int-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1409,25 +1409,25 @@ <h2><a name="b19">serialization (time)/BinTree Int-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.5981538047393165</span></td>
-    <td><span class="time">3.665660759744545</span></td>
-    <td><span class="confinterval citime">3.691683975979686</span></td>
+    <td><span class="confinterval citime">0.9653474844235461</span></td>
+    <td><span class="time">0.9891014908110568</span></td>
+    <td><span class="confinterval citime">1.0050847379413124</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">7.399380207061768e-3</span></td>
-    <td><span class="time">4.6487542951056234e-2</span></td>
-    <td><span class="confinterval citime">6.0098043594153806e-2</span></td>
+    <td><span class="confinterval citime">1.2351516638803314e-2</span></td>
+    <td><span class="time">2.4206047697961686e-2</span></td>
+    <td><span class="confinterval citime">3.3920603517266265e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b20">serialization (time)/BinTree Int-serialise</a></h2>
+<h2><a name="b20">serialization (time)/BinTree Int-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1467,25 +1467,25 @@ <h2><a name="b20">serialization (time)/BinTree Int-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.4744127402082086</span></td>
-    <td><span class="time">2.5089680653375885</span></td>
-    <td><span class="confinterval citime">2.5385225598389907</span></td>
+    <td><span class="confinterval citime">7.039161433580346e-2</span></td>
+    <td><span class="time">7.644827202064104e-2</span></td>
+    <td><span class="confinterval citime">8.461375686495255e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.8858752213418484e-2</span></td>
-    <td><span class="time">3.6301493023536135e-2</span></td>
-    <td><span class="confinterval citime">4.647697009059585e-2</span></td>
+    <td><span class="confinterval citime">7.5145420579155785e-3</span></td>
+    <td><span class="time">1.0897379784508115e-2</span></td>
+    <td><span class="confinterval citime">1.5209694937605732e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.1875</span>%)
+     (<span class="percent">0.48077567021625284</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b21">deserialization (time)/BinTree Int-flat</a></h2>
+<h2><a name="b21">serialization (time)/BinTree Int-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1525,25 +1525,25 @@ <h2><a name="b21">deserialization (time)/BinTree Int-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.47518573204676307</span></td>
-    <td><span class="time">0.5510037664013604</span></td>
-    <td><span class="confinterval citime">0.592108698717008</span></td>
+    <td><span class="confinterval citime">3.190531647647731</span></td>
+    <td><span class="time">3.2305580219253898</span></td>
+    <td><span class="confinterval citime">3.25565576471854</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.3457288655142008e-2</span></td>
-    <td><span class="time">7.24432816287315e-2</span></td>
-    <td><span class="confinterval citime">9.492777494984196e-2</span></td>
+    <td><span class="confinterval citime">1.5282015083357692e-2</span></td>
+    <td><span class="time">3.92880602221271e-2</span></td>
+    <td><span class="confinterval citime">5.212234866912782e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.23587615455872007</span>%)
+     (<span class="percent">0.18749999999999997</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b22">deserialization (time)/BinTree Int-store</a></h2>
+<h2><a name="b22">serialization (time)/BinTree Int-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1583,25 +1583,25 @@ <h2><a name="b22">deserialization (time)/BinTree Int-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.45026400312781334</span></td>
-    <td><span class="time">0.5161923365667462</span></td>
-    <td><span class="confinterval citime">0.5615284983068705</span></td>
+    <td><span class="confinterval citime">1.4978509484790266</span></td>
+    <td><span class="time">1.516170322652518</span></td>
+    <td><span class="confinterval citime">1.5332049573577629</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.4459712802917574e-2</span></td>
-    <td><span class="time">6.457860030767253e-2</span></td>
-    <td><span class="confinterval citime">8.83573385178414e-2</span></td>
+    <td><span class="confinterval citime">1.5567963743441667e-2</span></td>
+    <td><span class="time">2.008669632387949e-2</span></td>
+    <td><span class="confinterval citime">2.362005379235879e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.23440138992939707</span>%)
+     (<span class="percent">0.18749999999999994</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b23">deserialization (time)/BinTree Int-binary</a></h2>
+<h2><a name="b23">serialization (time)/BinTree Int-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1641,25 +1641,25 @@ <h2><a name="b23">deserialization (time)/BinTree Int-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.9647908609670897</span></td>
-    <td><span class="time">1.9987774834347267</span></td>
-    <td><span class="confinterval citime">2.0295256208628416</span></td>
+    <td><span class="confinterval citime">4.600145368931506e-2</span></td>
+    <td><span class="time">4.9726921917329886e-2</span></td>
+    <td><span class="confinterval citime">5.4599201148463956e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.9064161973223e-2</span></td>
-    <td><span class="time">3.622892560032659e-2</span></td>
-    <td><span class="confinterval citime">4.2706332325252616e-2</span></td>
+    <td><span class="confinterval citime">6.223781591985714e-3</span></td>
+    <td><span class="time">8.246097710048412e-3</span></td>
+    <td><span class="confinterval citime">1.1524499339370805e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.5988323993996325</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b24">deserialization (time)/BinTree Int-cereal</a></h2>
+<h2><a name="b24">deserialization (time)/BinTree Int-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1699,25 +1699,25 @@ <h2><a name="b24">deserialization (time)/BinTree Int-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.5057989023625851</span></td>
-    <td><span class="time">0.5705684092827141</span></td>
-    <td><span class="confinterval citime">0.6066864868625998</span></td>
+    <td><span class="confinterval citime">0.2987140938639641</span></td>
+    <td><span class="time">0.3544143141480163</span></td>
+    <td><span class="confinterval citime">0.37559387751389295</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.715495328821496e-2</span></td>
-    <td><span class="time">6.227499378371318e-2</span></td>
-    <td><span class="confinterval citime">8.341112725343523e-2</span></td>
+    <td><span class="confinterval citime">5.832496332004666e-3</span></td>
+    <td><span class="time">3.816004180013406e-2</span></td>
+    <td><span class="confinterval citime">4.891210644243054e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.22950593491800292</span>%)
+     (<span class="percent">0.22894065417530998</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b25">deserialization (time)/BinTree Int-persist</a></h2>
+<h2><a name="b25">deserialization (time)/BinTree Int-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1757,25 +1757,25 @@ <h2><a name="b25">deserialization (time)/BinTree Int-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.46788322615126765</span></td>
-    <td><span class="time">0.537486324707667</span></td>
-    <td><span class="confinterval citime">0.5774690207714835</span></td>
+    <td><span class="confinterval citime">0.24729267284894982</span></td>
+    <td><span class="time">0.27649961359022807</span></td>
+    <td><span class="confinterval citime">0.2964451998379082</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.07245871424675e-2</span></td>
-    <td><span class="time">6.782772766140682e-2</span></td>
-    <td><span class="confinterval citime">9.23360813414859e-2</span></td>
+    <td><span class="confinterval citime">1.749961031350113e-2</span></td>
+    <td><span class="time">3.166561242857747e-2</span></td>
+    <td><span class="confinterval citime">4.491813656364337e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.23466935756566526</span>%)
+     (<span class="percent">0.19046933319810838</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b26">deserialization (time)/BinTree Int-packman</a></h2>
+<h2><a name="b26">deserialization (time)/BinTree Int-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1815,15 +1815,15 @@ <h2><a name="b26">deserialization (time)/BinTree Int-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">4.1573095065541565</span></td>
-    <td><span class="time">4.321919304473947</span></td>
-    <td><span class="confinterval citime">4.447120127578577</span></td>
+    <td><span class="confinterval citime">1.2808045822312124</span></td>
+    <td><span class="time">1.3019647551409435</span></td>
+    <td><span class="confinterval citime">1.3312968860263936</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">7.76018897692361e-2</span></td>
-    <td><span class="time">0.170459799154792</span></td>
-    <td><span class="confinterval citime">0.23487849422837345</span></td>
+    <td><span class="confinterval citime">5.710760015062988e-4</span></td>
+    <td><span class="time">2.7844275911655583e-2</span></td>
+    <td><span class="confinterval citime">3.419953820843738e-2</span></td>
    </tr>
   </tbody>
  </table>
@@ -1833,7 +1833,7 @@ <h2><a name="b26">deserialization (time)/BinTree Int-packman</a></h2>
      (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b27">deserialization (time)/BinTree Int-serialise</a></h2>
+<h2><a name="b27">deserialization (time)/BinTree Int-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1873,25 +1873,25 @@ <h2><a name="b27">deserialization (time)/BinTree Int-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.0702083371579647</span></td>
-    <td><span class="time">2.13990710179011</span></td>
-    <td><span class="confinterval citime">2.1802025052408376</span></td>
+    <td><span class="confinterval citime">0.32472342054825276</span></td>
+    <td><span class="time">0.3609781318518799</span></td>
+    <td><span class="confinterval citime">0.3813172579975799</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.5384825949801355e-2</span></td>
-    <td><span class="time">6.875682731563726e-2</span></td>
-    <td><span class="confinterval citime">9.30582481175283e-2</span></td>
+    <td><span class="confinterval citime">9.072363420906608e-3</span></td>
+    <td><span class="time">3.493677144966185e-2</span></td>
+    <td><span class="confinterval citime">4.697119982120659e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+     (<span class="percent">0.2239362860573205</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b28">serialization (time)/BinTree Direction-flat</a></h2>
+<h2><a name="b28">deserialization (time)/BinTree Int-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1931,25 +1931,25 @@ <h2><a name="b28">serialization (time)/BinTree Direction-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.12807958303684636</span></td>
-    <td><span class="time">0.1283533287456348</span></td>
-    <td><span class="confinterval citime">0.1291258064719538</span></td>
+    <td><span class="confinterval citime">0.25973909749339025</span></td>
+    <td><span class="time">0.29021605603086453</span></td>
+    <td><span class="confinterval citime">0.31297623525063195</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.4967546531338672e-4</span></td>
-    <td><span class="time">6.841565674141657e-4</span></td>
-    <td><span class="confinterval citime">1.0650887654948772e-3</span></td>
+    <td><span class="confinterval citime">1.974025617686468e-2</span></td>
+    <td><span class="time">3.324653613421514e-2</span></td>
+    <td><span class="confinterval citime">4.8598635411085465e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.109375</span>%)
+     (<span class="percent">0.1904751076360917</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b29">serialization (time)/BinTree Direction-store</a></h2>
+<h2><a name="b29">deserialization (time)/BinTree Int-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -1989,25 +1989,25 @@ <h2><a name="b29">serialization (time)/BinTree Direction-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.11483176172090073</span></td>
-    <td><span class="time">0.11889778681409856</span></td>
-    <td><span class="confinterval citime">0.13074348196387292</span></td>
+    <td><span class="confinterval citime">2.42456551528691</span></td>
+    <td><span class="time">2.529749316551412</span></td>
+    <td><span class="confinterval citime">2.649927259539254</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.0006895171272082e-4</span></td>
-    <td><span class="time">1.0800666098335486e-2</span></td>
-    <td><span class="confinterval citime">1.6456092799633587e-2</span></td>
+    <td><span class="confinterval citime">5.546606075949967e-2</span></td>
+    <td><span class="time">0.12816553983276485</span></td>
+    <td><span class="confinterval citime">0.17886489367702302</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.2352069911367114</span>%)
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b30">serialization (time)/BinTree Direction-binary</a></h2>
+<h2><a name="b30">deserialization (time)/BinTree Int-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2047,15 +2047,15 @@ <h2><a name="b30">serialization (time)/BinTree Direction-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.214524744078517</span></td>
-    <td><span class="time">2.2946991828891137</span></td>
-    <td><span class="confinterval citime">2.3402270541215935</span></td>
+    <td><span class="confinterval citime">1.488655483815819</span></td>
+    <td><span class="time">1.537655603257008</span></td>
+    <td><span class="confinterval citime">1.572801136993803</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.5129294375921672e-2</span></td>
-    <td><span class="time">7.76684104074597e-2</span></td>
-    <td><span class="confinterval citime">0.10514211484681135</span></td>
+    <td><span class="confinterval citime">2.101537212729454e-2</span></td>
+    <td><span class="time">4.795683940877492e-2</span></td>
+    <td><span class="confinterval citime">6.0445131116459626e-2</span></td>
    </tr>
   </tbody>
  </table>
@@ -2065,7 +2065,7 @@ <h2><a name="b30">serialization (time)/BinTree Direction-binary</a></h2>
      (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b31">serialization (time)/BinTree Direction-cereal</a></h2>
+<h2><a name="b31">deserialization (time)/BinTree Int-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2105,25 +2105,25 @@ <h2><a name="b31">serialization (time)/BinTree Direction-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.161738138180226</span></td>
-    <td><span class="time">1.2490544845350087</span></td>
-    <td><span class="confinterval citime">1.3111022356897593</span></td>
+    <td><span class="confinterval citime">0.3772237626835704</span></td>
+    <td><span class="time">0.44342107250122353</span></td>
+    <td><span class="confinterval citime">0.4814256459940225</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.554601453607164e-2</span></td>
-    <td><span class="time">8.762199646980791e-2</span></td>
-    <td><span class="confinterval citime">0.12133899867871308</span></td>
+    <td><span class="confinterval citime">1.9623674335889518e-2</span></td>
+    <td><span class="time">6.443573952757112e-2</span></td>
+    <td><span class="confinterval citime">8.776780294601758e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.20038916585046013</span>%)
+     (<span class="percent">0.23843836981897043</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b32">serialization (time)/BinTree Direction-persist</a></h2>
+<h2><a name="b32">serialization (time)/BinTree Direction-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2163,25 +2163,25 @@ <h2><a name="b32">serialization (time)/BinTree Direction-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">8.979619943571311e-2</span></td>
-    <td><span class="time">9.350037832351851e-2</span></td>
-    <td><span class="confinterval citime">0.11105687158080427</span></td>
+    <td><span class="confinterval citime">9.619453985425126e-2</span></td>
+    <td><span class="time">9.629221881230195e-2</span></td>
+    <td><span class="confinterval citime">9.637758956597525e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">6.249398326854862e-4</span></td>
-    <td><span class="time">1.0636566837552755e-2</span></td>
-    <td><span class="confinterval citime">1.692819808940512e-2</span></td>
+    <td><span class="confinterval citime">1.074210718140962e-4</span></td>
+    <td><span class="time">1.538676960440513e-4</span></td>
+    <td><span class="confinterval citime">2.126527506326609e-4</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.3184274129737811</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">9.876543209876536e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b33">serialization (time)/BinTree Direction-packman</a></h2>
+<h2><a name="b33">serialization (time)/BinTree Direction-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2221,25 +2221,25 @@ <h2><a name="b33">serialization (time)/BinTree Direction-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.284982504944007</span></td>
-    <td><span class="time">3.31422160876294</span></td>
-    <td><span class="confinterval citime">3.3468404387434325</span></td>
+    <td><span class="confinterval citime">7.52453401338102e-2</span></td>
+    <td><span class="time">7.811949078544295e-2</span></td>
+    <td><span class="confinterval citime">8.475975538071777e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.6530789027592058e-2</span></td>
-    <td><span class="time">3.8565531690896805e-2</span></td>
-    <td><span class="confinterval citime">5.099402881530578e-2</span></td>
+    <td><span class="confinterval citime">3.5306024737905266e-4</span></td>
+    <td><span class="time">6.1759736420718015e-3</span></td>
+    <td><span class="confinterval citime">8.712062472789163e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.1875</span>%)
+     (<span class="percent">0.19000027729430133</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b34">serialization (time)/BinTree Direction-serialise</a></h2>
+<h2><a name="b34">serialization (time)/BinTree Direction-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2279,25 +2279,25 @@ <h2><a name="b34">serialization (time)/BinTree Direction-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.472534628584981</span></td>
-    <td><span class="time">3.492274626468619</span></td>
-    <td><span class="confinterval citime">3.526331413847705</span></td>
+    <td><span class="confinterval citime">1.432436437055003</span></td>
+    <td><span class="time">1.4743521013200127</span></td>
+    <td><span class="confinterval citime">1.4966105452816312</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.4510699808597565e-4</span></td>
-    <td><span class="time">3.2653892049388754e-2</span></td>
-    <td><span class="confinterval citime">3.958237336726145e-2</span></td>
+    <td><span class="confinterval citime">1.0645350247311058e-2</span></td>
+    <td><span class="time">3.9752722842694835e-2</span></td>
+    <td><span class="confinterval citime">5.140367445193049e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b35">deserialization (time)/BinTree Direction-flat</a></h2>
+<h2><a name="b35">serialization (time)/BinTree Direction-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2337,25 +2337,25 @@ <h2><a name="b35">deserialization (time)/BinTree Direction-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.43430913845077157</span></td>
-    <td><span class="time">0.4889881137448052</span></td>
-    <td><span class="confinterval citime">0.5195100020306805</span></td>
+    <td><span class="confinterval citime">0.6477203838294372</span></td>
+    <td><span class="time">0.6962612657225691</span></td>
+    <td><span class="confinterval citime">0.7304068818921223</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.2729602555433928e-2</span></td>
-    <td><span class="time">5.260919959959097e-2</span></td>
-    <td><span class="confinterval citime">7.04872816721032e-2</span></td>
+    <td><span class="confinterval citime">1.996363850776106e-2</span></td>
+    <td><span class="time">4.871199558408055e-2</span></td>
+    <td><span class="confinterval citime">6.757619452186328e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.2289082182831483</span>%)
+     (<span class="percent">0.20012158099592084</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b36">deserialization (time)/BinTree Direction-store</a></h2>
+<h2><a name="b36">serialization (time)/BinTree Direction-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2395,25 +2395,25 @@ <h2><a name="b36">deserialization (time)/BinTree Direction-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.5014605950564146</span></td>
-    <td><span class="time">0.5602905051782727</span></td>
-    <td><span class="confinterval citime">0.6006495365872979</span></td>
+    <td><span class="confinterval citime">6.110976884435151e-2</span></td>
+    <td><span class="time">6.338723586964641e-2</span></td>
+    <td><span class="confinterval citime">6.822165812619176e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.2801136175341838e-2</span></td>
-    <td><span class="time">5.721539636022026e-2</span></td>
-    <td><span class="confinterval citime">7.635568279131938e-2</span></td>
+    <td><span class="confinterval citime">1.3481690653055645e-3</span></td>
+    <td><span class="time">5.46624850059921e-3</span></td>
+    <td><span class="confinterval citime">8.278559039072745e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.22658787921341283</span>%)
+     (<span class="percent">0.31387878484812104</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b37">deserialization (time)/BinTree Direction-binary</a></h2>
+<h2><a name="b37">serialization (time)/BinTree Direction-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2453,15 +2453,15 @@ <h2><a name="b37">deserialization (time)/BinTree Direction-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.150704930226008</span></td>
-    <td><span class="time">3.2633697080115476</span></td>
-    <td><span class="confinterval citime">3.373063148930669</span></td>
+    <td><span class="confinterval citime">2.7069322744209785</span></td>
+    <td><span class="time">2.7310330050822813</span></td>
+    <td><span class="confinterval citime">2.761895579053089</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">6.995944119989872e-2</span></td>
-    <td><span class="time">0.12810211896905335</span></td>
-    <td><span class="confinterval citime">0.17940595471244805</span></td>
+    <td><span class="confinterval citime">9.429537936369393e-3</span></td>
+    <td><span class="time">3.374095860680886e-2</span></td>
+    <td><span class="confinterval citime">4.545395094532368e-2</span></td>
    </tr>
   </tbody>
  </table>
@@ -2471,7 +2471,7 @@ <h2><a name="b37">deserialization (time)/BinTree Direction-binary</a></h2>
      (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b38">deserialization (time)/BinTree Direction-cereal</a></h2>
+<h2><a name="b38">serialization (time)/BinTree Direction-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2511,25 +2511,25 @@ <h2><a name="b38">deserialization (time)/BinTree Direction-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.5355991907417774</span></td>
-    <td><span class="time">1.659977271532019</span></td>
-    <td><span class="confinterval citime">1.7255297433584929</span></td>
+    <td><span class="confinterval citime">2.0774137089028955</span></td>
+    <td><span class="time">2.088774263887899</span></td>
+    <td><span class="confinterval citime">2.1037816987081897</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">5.825566500425339e-2</span></td>
-    <td><span class="time">0.11885665331311983</span></td>
-    <td><span class="confinterval citime">0.14620860757412676</span></td>
+    <td><span class="confinterval citime">5.158105021255991e-3</span></td>
+    <td><span class="time">1.4950440113705775e-2</span></td>
+    <td><span class="confinterval citime">2.029808801610122e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.20237912835429434</span>%)
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b39">deserialization (time)/BinTree Direction-persist</a></h2>
+<h2><a name="b39">serialization (time)/BinTree Direction-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2569,25 +2569,25 @@ <h2><a name="b39">deserialization (time)/BinTree Direction-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.4547161292284727</span></td>
-    <td><span class="time">0.5053489208221436</span></td>
-    <td><span class="confinterval citime">0.5391315929591656</span></td>
+    <td><span class="confinterval citime">0.11833589963498525</span></td>
+    <td><span class="time">0.12339135732853763</span></td>
+    <td><span class="confinterval citime">0.13220133099571935</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.6036720722913742e-2</span></td>
-    <td><span class="time">5.2256768634958636e-2</span></td>
-    <td><span class="confinterval citime">7.349801943104552e-2</span></td>
+    <td><span class="confinterval citime">2.8333656511512345e-4</span></td>
+    <td><span class="time">9.582461372173686e-3</span></td>
+    <td><span class="confinterval citime">1.2806685697664478e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.22716833229135763</span>%)
+     (<span class="percent">0.22975930666207384</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b40">deserialization (time)/BinTree Direction-packman</a></h2>
+<h2><a name="b40">deserialization (time)/BinTree Direction-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2627,25 +2627,25 @@ <h2><a name="b40">deserialization (time)/BinTree Direction-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.8907419573515654</span></td>
-    <td><span class="time">3.9940538223211965</span></td>
-    <td><span class="confinterval citime">4.176335529734691</span></td>
+    <td><span class="confinterval citime">0.29334237120929174</span></td>
+    <td><span class="time">0.3230545496044215</span></td>
+    <td><span class="confinterval citime">0.33973658198374324</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.6627935525663884e-2</span></td>
-    <td><span class="time">0.1764218148463977</span></td>
-    <td><span class="confinterval citime">0.2219605966771312</span></td>
+    <td><span class="confinterval citime">8.433670300098388e-3</span></td>
+    <td><span class="time">2.8659220928347127e-2</span></td>
+    <td><span class="confinterval citime">3.852550353932587e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.18749999999999997</span>%)
+     (<span class="percent">0.21897848422315389</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b41">deserialization (time)/BinTree Direction-serialise</a></h2>
+<h2><a name="b41">deserialization (time)/BinTree Direction-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2685,25 +2685,25 @@ <h2><a name="b41">deserialization (time)/BinTree Direction-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.7288037333637476</span></td>
-    <td><span class="time">3.791361590847373</span></td>
-    <td><span class="confinterval citime">3.8783462531864643</span></td>
+    <td><span class="confinterval citime">0.2838429271243513</span></td>
+    <td><span class="time">0.3148924066343655</span></td>
+    <td><span class="confinterval citime">0.33117079504765573</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.562564929595801e-2</span></td>
-    <td><span class="time">8.89956067896644e-2</span></td>
-    <td><span class="confinterval citime">0.11884553413643151</span></td>
+    <td><span class="confinterval citime">1.2450716994651521e-2</span></td>
+    <td><span class="time">2.8368482469839952e-2</span></td>
+    <td><span class="confinterval citime">3.7282507220716465e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.1875</span>%)
+     (<span class="percent">0.18459852978534957</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b42">serialization (time)/Cars-flat</a></h2>
+<h2><a name="b42">deserialization (time)/BinTree Direction-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2743,25 +2743,25 @@ <h2><a name="b42">serialization (time)/Cars-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">5.570631287343692e-3</span></td>
-    <td><span class="time">5.593026753001806e-3</span></td>
-    <td><span class="confinterval citime">5.693128882160441e-3</span></td>
+    <td><span class="confinterval citime">2.1167150522815064</span></td>
+    <td><span class="time">2.1769524154175692</span></td>
+    <td><span class="confinterval citime">2.210446170919264</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.4053877231341884e-5</span></td>
-    <td><span class="time">1.1953358621887971e-4</span></td>
-    <td><span class="confinterval citime">2.688955670099188e-4</span></td>
+    <td><span class="confinterval citime">1.6969764079582825e-2</span></td>
+    <td><span class="time">5.786832964620346e-2</span></td>
+    <td><span class="confinterval citime">7.735051502030042e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have slight
-     (<span class="percent">7.173289466057688e-2</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.1875</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b43">serialization (time)/Cars-store</a></h2>
+<h2><a name="b43">deserialization (time)/BinTree Direction-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2801,25 +2801,25 @@ <h2><a name="b43">serialization (time)/Cars-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.2629558209226707e-3</span></td>
-    <td><span class="time">3.68153009924261e-3</span></td>
-    <td><span class="confinterval citime">4.4976964537781225e-3</span></td>
+    <td><span class="confinterval citime">0.9781419322825968</span></td>
+    <td><span class="time">1.0540080783054389</span></td>
+    <td><span class="confinterval citime">1.1104659799311776</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">8.530635895687762e-4</span></td>
-    <td><span class="time">1.7652757959012132e-3</span></td>
-    <td><span class="confinterval citime">3.0765020413489304e-3</span></td>
+    <td><span class="confinterval citime">3.26110903794567e-2</span></td>
+    <td><span class="time">7.392302540898364e-2</span></td>
+    <td><span class="confinterval citime">9.118536810251913e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.9768470202154012</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.2003672355139101</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b44">serialization (time)/Cars-binary</a></h2>
+<h2><a name="b44">deserialization (time)/BinTree Direction-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2859,25 +2859,25 @@ <h2><a name="b44">serialization (time)/Cars-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.775715636482897e-2</span></td>
-    <td><span class="time">3.794626806108173e-2</span></td>
-    <td><span class="confinterval citime">3.849953431774069e-2</span></td>
+    <td><span class="confinterval citime">0.26196443629451094</span></td>
+    <td><span class="time">0.28632453326135876</span></td>
+    <td><span class="confinterval citime">0.3016196376178414</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.4643374795618793e-4</span></td>
-    <td><span class="time">5.828118647795102e-4</span></td>
-    <td><span class="confinterval citime">9.937130539447966e-4</span></td>
+    <td><span class="confinterval citime">1.1698776541155665e-2</span></td>
+    <td><span class="time">2.5503745801918384e-2</span></td>
+    <td><span class="confinterval citime">3.7226563343648905e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have slight
-     (<span class="percent">6.222222222222222e-2</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.18424497147814162</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b45">serialization (time)/Cars-cereal</a></h2>
+<h2><a name="b45">deserialization (time)/BinTree Direction-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2917,25 +2917,25 @@ <h2><a name="b45">serialization (time)/Cars-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.708516583744047e-2</span></td>
-    <td><span class="time">1.8192211847181308e-2</span></td>
-    <td><span class="confinterval citime">2.034500944639995e-2</span></td>
+    <td><span class="confinterval citime">2.309880907414481</span></td>
+    <td><span class="time">2.3717720900507024</span></td>
+    <td><span class="confinterval citime">2.4774809972926355</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.2362967013872152e-4</span></td>
-    <td><span class="time">3.5457021376791584e-3</span></td>
-    <td><span class="confinterval citime">6.093322293867513e-3</span></td>
+    <td><span class="confinterval citime">4.333856673671699e-7</span></td>
+    <td><span class="time">0.10113030846338486</span></td>
+    <td><span class="confinterval citime">0.12206234879657614</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.7615633624539975</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.18749999999999997</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b46">serialization (time)/Cars-persist</a></h2>
+<h2><a name="b46">deserialization (time)/BinTree Direction-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -2975,25 +2975,25 @@ <h2><a name="b46">serialization (time)/Cars-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">6.76337890502929e-3</span></td>
-    <td><span class="time">7.271969532111314e-3</span></td>
-    <td><span class="confinterval citime">8.287312832745425e-3</span></td>
+    <td><span class="confinterval citime">2.535435914993286</span></td>
+    <td><span class="time">2.5683735869824886</span></td>
+    <td><span class="confinterval citime">2.5857402940746397</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.0365556753101678e-4</span></td>
-    <td><span class="time">2.0102088252985746e-3</span></td>
-    <td><span class="confinterval citime">3.6703357300933164e-3</span></td>
+    <td><span class="confinterval citime">1.0783645790070295e-2</span></td>
+    <td><span class="time">3.1233100625983334e-2</span></td>
+    <td><span class="confinterval citime">4.0106692058363154e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.9094021422273914</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.18749999999999997</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b47">serialization (time)/Cars-packman</a></h2>
+<h2><a name="b47">deserialization (time)/BinTree Direction-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3033,25 +3033,25 @@ <h2><a name="b47">serialization (time)/Cars-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.258663558810161e-2</span></td>
-    <td><span class="time">3.563721308263378e-2</span></td>
-    <td><span class="confinterval citime">4.183118146850032e-2</span></td>
+    <td><span class="confinterval citime">0.2858892167607943</span></td>
+    <td><span class="time">0.32173960840019084</span></td>
+    <td><span class="confinterval citime">0.33671962916851045</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.456091958521041e-3</span></td>
-    <td><span class="time">8.727123383427973e-3</span></td>
-    <td><span class="confinterval citime">1.3708576568723608e-2</span></td>
+    <td><span class="confinterval citime">1.2224988193840304e-2</span></td>
+    <td><span class="time">2.9229379827648734e-2</span></td>
+    <td><span class="confinterval citime">3.844268606093279e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.7888833488721517</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.18485463064428054</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b48">serialization (time)/Cars-serialise</a></h2>
+<h2><a name="b48">serialization (time)/Cars-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3091,25 +3091,25 @@ <h2><a name="b48">serialization (time)/Cars-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.151064388156507e-2</span></td>
-    <td><span class="time">2.2195469845943106e-2</span></td>
-    <td><span class="confinterval citime">2.4910872930063027e-2</span></td>
+    <td><span class="confinterval citime">4.307955137979522e-3</span></td>
+    <td><span class="time">4.325591935403189e-3</span></td>
+    <td><span class="confinterval citime">4.357287763057667e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">5.5346736013936384e-5</span></td>
-    <td><span class="time">2.9500743762155782e-3</span></td>
-    <td><span class="confinterval citime">5.818563827702747e-3</span></td>
+    <td><span class="confinterval citime">4.4648431847641316e-5</span></td>
+    <td><span class="time">7.032314577427676e-5</span></td>
+    <td><span class="confinterval citime">1.0451623157764485e-4</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.5840795519472278</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">2.271498107084907e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b49">deserialization (time)/Cars-flat</a></h2>
+<h2><a name="b49">serialization (time)/Cars-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3149,25 +3149,25 @@ <h2><a name="b49">deserialization (time)/Cars-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.132656931689282e-2</span></td>
-    <td><span class="time">2.440828112960016e-2</span></td>
-    <td><span class="confinterval citime">2.981719852908065e-2</span></td>
+    <td><span class="confinterval citime">1.9246208167830957e-3</span></td>
+    <td><span class="time">2.1451241059468715e-3</span></td>
+    <td><span class="confinterval citime">2.57484008382682e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">5.9242959564514705e-3</span></td>
-    <td><span class="time">8.763183707797037e-3</span></td>
-    <td><span class="confinterval citime">1.2388745394931679e-2</span></td>
+    <td><span class="confinterval citime">6.166233698106327e-4</span></td>
+    <td><span class="time">9.779064397348947e-4</span></td>
+    <td><span class="confinterval citime">1.6521403519744744e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9416423755535156</span>%)
+     (<span class="percent">0.9808477921665757</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b50">deserialization (time)/Cars-store</a></h2>
+<h2><a name="b50">serialization (time)/Cars-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3207,25 +3207,25 @@ <h2><a name="b50">deserialization (time)/Cars-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.313768865612915e-2</span></td>
-    <td><span class="time">2.5700016708875017e-2</span></td>
-    <td><span class="confinterval citime">3.0778765764440105e-2</span></td>
+    <td><span class="confinterval citime">3.0058954762141238e-2</span></td>
+    <td><span class="time">3.0789327065479707e-2</span></td>
+    <td><span class="confinterval citime">3.229326728526511e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">4.815819176267716e-3</span></td>
-    <td><span class="time">7.717105609962261e-3</span></td>
-    <td><span class="confinterval citime">1.1373784587702383e-2</span></td>
+    <td><span class="confinterval citime">1.0449515894194142e-3</span></td>
+    <td><span class="time">2.1788169396263733e-3</span></td>
+    <td><span class="confinterval citime">3.282987009592416e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.881282116874808</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.27824051056545007</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b51">deserialization (time)/Cars-binary</a></h2>
+<h2><a name="b51">serialization (time)/Cars-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3265,25 +3265,25 @@ <h2><a name="b51">deserialization (time)/Cars-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.1189437399263538</span></td>
-    <td><span class="time">0.12946013358443798</span></td>
-    <td><span class="confinterval citime">0.14598895436973267</span></td>
+    <td><span class="confinterval citime">1.4292004610959481e-2</span></td>
+    <td><span class="time">1.4833149738163383e-2</span></td>
+    <td><span class="confinterval citime">1.6006579630007723e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.5495251800144431e-2</span></td>
-    <td><span class="time">2.028644906750873e-2</span></td>
-    <td><span class="confinterval citime">2.7482757021911705e-2</span></td>
+    <td><span class="confinterval citime">1.3593116632811377e-4</span></td>
+    <td><span class="time">1.8257855692425235e-3</span></td>
+    <td><span class="confinterval citime">3.263652415190384e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.4801147946851442</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.5851492037545053</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b52">deserialization (time)/Cars-cereal</a></h2>
+<h2><a name="b52">serialization (time)/Cars-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3323,25 +3323,25 @@ <h2><a name="b52">deserialization (time)/Cars-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">4.968284970770279e-2</span></td>
-    <td><span class="time">5.559028635424629e-2</span></td>
-    <td><span class="confinterval citime">6.464802033082905e-2</span></td>
+    <td><span class="confinterval citime">5.32775518556708e-3</span></td>
+    <td><span class="time">5.655368858870023e-3</span></td>
+    <td><span class="confinterval citime">6.446270408609627e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">9.823778756013903e-3</span></td>
-    <td><span class="time">1.3685511304411391e-2</span></td>
-    <td><span class="confinterval citime">1.8126016897173785e-2</span></td>
+    <td><span class="confinterval citime">6.602643441367664e-4</span></td>
+    <td><span class="time">1.4059916848651864e-3</span></td>
+    <td><span class="confinterval citime">2.2002579538386237e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.7379152666083474</span>%)
+     (<span class="percent">0.9175537637167201</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b53">deserialization (time)/Cars-persist</a></h2>
+<h2><a name="b53">serialization (time)/Cars-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3381,25 +3381,25 @@ <h2><a name="b53">deserialization (time)/Cars-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.140434689041639e-2</span></td>
-    <td><span class="time">2.3471048169861047e-2</span></td>
-    <td><span class="confinterval citime">2.7787494806035016e-2</span></td>
+    <td><span class="confinterval citime">2.1681544849004353e-2</span></td>
+    <td><span class="time">2.3533868777463357e-2</span></td>
+    <td><span class="confinterval citime">2.618106550571631e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.698312462954907e-3</span></td>
-    <td><span class="time">6.682576221611194e-3</span></td>
-    <td><span class="confinterval citime">1.0245621034343382e-2</span></td>
+    <td><span class="confinterval citime">3.535004490399475e-3</span></td>
+    <td><span class="time">4.930231448947088e-3</span></td>
+    <td><span class="confinterval citime">7.062674135282775e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.8866153805399689</span>%)
+     (<span class="percent">0.7886074211226813</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b54">deserialization (time)/Cars-packman</a></h2>
+<h2><a name="b54">serialization (time)/Cars-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3439,25 +3439,25 @@ <h2><a name="b54">deserialization (time)/Cars-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">4.259313181820479e-2</span></td>
-    <td><span class="time">4.8905069005067685e-2</span></td>
-    <td><span class="confinterval citime">5.849842340755206e-2</span></td>
+    <td><span class="confinterval citime">4.2079012971251495e-2</span></td>
+    <td><span class="time">4.2314775327085864e-2</span></td>
+    <td><span class="confinterval citime">4.281135431027289e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.0209290284075766e-2</span></td>
-    <td><span class="time">1.4619821171291132e-2</span></td>
-    <td><span class="confinterval citime">2.1729437880328217e-2</span></td>
+    <td><span class="confinterval citime">3.68017540995028e-4</span></td>
+    <td><span class="time">6.246694715060654e-4</span></td>
+    <td><span class="confinterval citime">9.88509539254786e-4</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.8365244518464846</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">6.63265306122449e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b55">deserialization (time)/Cars-serialise</a></h2>
+<h2><a name="b55">serialization (time)/Cars-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3497,25 +3497,25 @@ <h2><a name="b55">deserialization (time)/Cars-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.13738072738051416</span></td>
-    <td><span class="time">0.13767498276373816</span></td>
-    <td><span class="confinterval citime">0.13801605318717303</span></td>
+    <td><span class="confinterval citime">1.8530040754207715e-3</span></td>
+    <td><span class="time">1.8603130396487799e-3</span></td>
+    <td><span class="confinterval citime">1.8703909779439931e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.476326373270975e-4</span></td>
-    <td><span class="time">5.003343196302224e-4</span></td>
-    <td><span class="confinterval citime">7.650358694644144e-4</span></td>
+    <td><span class="confinterval citime">2.2580359329878326e-5</span></td>
+    <td><span class="time">2.8772235957830814e-5</span></td>
+    <td><span class="confinterval citime">3.887361140347073e-5</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.109375</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">1.6661878770468142e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b56">serialization (time)/Iris-flat</a></h2>
+<h2><a name="b56">deserialization (time)/Cars-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3555,25 +3555,25 @@ <h2><a name="b56">serialization (time)/Iris-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">9.170773334484518e-3</span></td>
-    <td><span class="time">1.0857703342052822e-2</span></td>
-    <td><span class="confinterval citime">1.3485650643187653e-2</span></td>
+    <td><span class="confinterval citime">1.4092060563006464e-2</span></td>
+    <td><span class="time">1.5709581037709093e-2</span></td>
+    <td><span class="confinterval citime">1.7931774299303115e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">3.5850865773525203e-3</span></td>
-    <td><span class="time">5.4702463517703505e-3</span></td>
-    <td><span class="confinterval citime">8.068714066647907e-3</span></td>
+    <td><span class="confinterval citime">3.3797738819095332e-3</span></td>
+    <td><span class="time">4.512665012131747e-3</span></td>
+    <td><span class="confinterval citime">6.36585557864661e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9622414566290638</span>%)
+     (<span class="percent">0.9100369544531414</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b57">serialization (time)/Iris-store</a></h2>
+<h2><a name="b57">deserialization (time)/Cars-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3613,25 +3613,25 @@ <h2><a name="b57">serialization (time)/Iris-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">1.9339140289164846e-3</span></td>
-    <td><span class="time">1.9453934479475186e-3</span></td>
-    <td><span class="confinterval citime">1.965647988009605e-3</span></td>
+    <td><span class="confinterval citime">1.2514742477056853e-2</span></td>
+    <td><span class="time">1.3711663701754362e-2</span></td>
+    <td><span class="confinterval citime">1.5483913328966377e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.9084399097813657e-5</span></td>
-    <td><span class="time">4.9539242473327754e-5</span></td>
-    <td><span class="confinterval citime">7.257188044708173e-5</span></td>
+    <td><span class="confinterval citime">2.757528325042563e-3</span></td>
+    <td><span class="time">3.8317762294589773e-3</span></td>
+    <td><span class="confinterval citime">5.544772707762595e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.1300273026897815</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.9165199636903604</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b58">serialization (time)/Iris-binary</a></h2>
+<h2><a name="b58">deserialization (time)/Cars-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3671,25 +3671,25 @@ <h2><a name="b58">serialization (time)/Iris-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.16298139778276285</span></td>
-    <td><span class="time">0.1709658918902278</span></td>
-    <td><span class="confinterval citime">0.19206859022378922</span></td>
+    <td><span class="confinterval citime">8.401284472913378e-2</span></td>
+    <td><span class="time">9.038738467460794e-2</span></td>
+    <td><span class="confinterval citime">9.85333650217702e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.5072635625663112e-3</span></td>
-    <td><span class="time">1.7718506958750265e-2</span></td>
-    <td><span class="confinterval citime">2.4657435290810402e-2</span></td>
+    <td><span class="confinterval citime">8.597734179210146e-3</span></td>
+    <td><span class="time">1.1394243708101954e-2</span></td>
+    <td><span class="confinterval citime">1.4888169177808976e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have moderate
-     (<span class="percent">0.30639374396073604</span>%)
+     (<span class="percent">0.42286416258097215</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b59">serialization (time)/Iris-cereal</a></h2>
+<h2><a name="b59">deserialization (time)/Cars-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3729,25 +3729,25 @@ <h2><a name="b59">serialization (time)/Iris-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.1199166245749435e-2</span></td>
-    <td><span class="time">3.447921619522889e-2</span></td>
-    <td><span class="confinterval citime">4.0311238934504855e-2</span></td>
+    <td><span class="confinterval citime">3.519660033160635e-2</span></td>
+    <td><span class="time">3.801226272836256e-2</span></td>
+    <td><span class="confinterval citime">4.144747034809751e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">5.837413569521212e-3</span></td>
-    <td><span class="time">9.034282903875791e-3</span></td>
-    <td><span class="confinterval citime">1.3128681114929576e-2</span></td>
+    <td><span class="confinterval citime">4.9414510095698826e-3</span></td>
+    <td><span class="time">6.786059188866766e-3</span></td>
+    <td><span class="confinterval citime">9.88585313195738e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.8641096071520344</span>%)
+     (<span class="percent">0.6521402530160711</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b60">serialization (time)/Iris-persist</a></h2>
+<h2><a name="b60">deserialization (time)/Cars-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3787,25 +3787,25 @@ <h2><a name="b60">serialization (time)/Iris-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">6.208499396975121e-2</span></td>
-    <td><span class="time">6.39004875993654e-2</span></td>
-    <td><span class="confinterval citime">7.098634967801082e-2</span></td>
+    <td><span class="confinterval citime">1.1504333233683576e-2</span></td>
+    <td><span class="time">1.2641673073255753e-2</span></td>
+    <td><span class="confinterval citime">1.423764975060925e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.9135376388477662e-4</span></td>
-    <td><span class="time">5.881213286633501e-3</span></td>
-    <td><span class="confinterval citime">1.0205290186629046e-2</span></td>
+    <td><span class="confinterval citime">2.3896793061558372e-3</span></td>
+    <td><span class="time">3.4277865890632916e-3</span></td>
+    <td><span class="confinterval citime">5.331725590702422e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.26025461614569356</span>%)
+   <p>Outlying measurements have severe
+     (<span class="percent">0.8826697139101786</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b61">serialization (time)/Iris-packman</a></h2>
+<h2><a name="b61">deserialization (time)/Cars-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3845,25 +3845,25 @@ <h2><a name="b61">serialization (time)/Iris-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">5.172848946207927e-2</span></td>
-    <td><span class="time">5.4916976919234646e-2</span></td>
-    <td><span class="confinterval citime">6.1950456949032416e-2</span></td>
+    <td><span class="confinterval citime">2.691532137522667e-2</span></td>
+    <td><span class="time">3.0543626258028138e-2</span></td>
+    <td><span class="confinterval citime">3.835898844616388e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.383731199451622e-3</span></td>
-    <td><span class="time">8.518880315146764e-3</span></td>
-    <td><span class="confinterval citime">1.1671778537403716e-2</span></td>
+    <td><span class="confinterval citime">5.815841231377181e-3</span></td>
+    <td><span class="time">9.964698571789592e-3</span></td>
+    <td><span class="confinterval citime">1.6103396176186696e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.5649205018424042</span>%)
+     (<span class="percent">0.8756298555612707</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b62">serialization (time)/Iris-serialise</a></h2>
+<h2><a name="b62">deserialization (time)/Cars-serialise</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3903,25 +3903,25 @@ <h2><a name="b62">serialization (time)/Iris-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">2.0296715791926975e-2</span></td>
-    <td><span class="time">2.3622934772768295e-2</span></td>
-    <td><span class="confinterval citime">2.89493023737646e-2</span></td>
+    <td><span class="confinterval citime">9.803236652006736e-2</span></td>
+    <td><span class="time">9.966078158289382e-2</span></td>
+    <td><span class="confinterval citime">0.10734118167957706</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">6.376679187226276e-3</span></td>
-    <td><span class="time">9.124358290219608e-3</span></td>
-    <td><span class="confinterval citime">1.313386134927165e-2</span></td>
+    <td><span class="confinterval citime">2.454374666595602e-4</span></td>
+    <td><span class="time">4.6309269831562834e-3</span></td>
+    <td><span class="confinterval citime">7.400541683026915e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.9424211321321545</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.10118440399466741</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b63">deserialization (time)/Iris-flat</a></h2>
+<h2><a name="b63">deserialization (time)/Cars-winery</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -3961,25 +3961,25 @@ <h2><a name="b63">deserialization (time)/Iris-flat</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">4.163729574003331e-2</span></td>
-    <td><span class="time">4.808621853443852e-2</span></td>
-    <td><span class="confinterval citime">5.835383170642548e-2</span></td>
+    <td><span class="confinterval citime">1.490418971074627e-2</span></td>
+    <td><span class="time">1.6622600126813457e-2</span></td>
+    <td><span class="confinterval citime">1.907561316359672e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.097377056647672e-2</span></td>
-    <td><span class="time">1.470042689840556e-2</span></td>
-    <td><span class="confinterval citime">2.2823577769530683e-2</span></td>
+    <td><span class="confinterval citime">3.773883154595751e-3</span></td>
+    <td><span class="time">4.899085924042239e-3</span></td>
+    <td><span class="confinterval citime">7.136273938984902e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.8369460287698982</span>%)
+     (<span class="percent">0.9065235486123541</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b64">deserialization (time)/Iris-store</a></h2>
+<h2><a name="b64">serialization (time)/Iris-flat</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4019,25 +4019,25 @@ <h2><a name="b64">deserialization (time)/Iris-store</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.3888479208155554e-2</span></td>
-    <td><span class="time">3.96079722676896e-2</span></td>
-    <td><span class="confinterval citime">4.767016777052329e-2</span></td>
+    <td><span class="confinterval citime">6.657563279023816e-3</span></td>
+    <td><span class="time">7.5639437514173355e-3</span></td>
+    <td><span class="confinterval citime">8.746028341742098e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.0268108946502305e-2</span></td>
-    <td><span class="time">1.3108828301923833e-2</span></td>
-    <td><span class="confinterval citime">1.8147247959176445e-2</span></td>
+    <td><span class="confinterval citime">2.0638106590422666e-3</span></td>
+    <td><span class="time">2.8205998484812866e-3</span></td>
+    <td><span class="confinterval citime">4.434857173147201e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.9250493390908604</span>%)
+     (<span class="percent">0.9674749079980036</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b65">deserialization (time)/Iris-binary</a></h2>
+<h2><a name="b65">serialization (time)/Iris-store</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4077,25 +4077,25 @@ <h2><a name="b65">deserialization (time)/Iris-binary</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.2856426578015089</span></td>
-    <td><span class="time">0.29966582588851454</span></td>
-    <td><span class="confinterval citime">0.3181063244491815</span></td>
+    <td><span class="confinterval citime">1.4097223529457054e-3</span></td>
+    <td><span class="time">1.4128569613512487e-3</span></td>
+    <td><span class="confinterval citime">1.4217854085471862e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.3541231849086111e-2</span></td>
-    <td><span class="time">2.0720502148725735e-2</span></td>
-    <td><span class="confinterval citime">2.5749034892336268e-2</span></td>
+    <td><span class="confinterval citime">7.794773654267542e-6</span></td>
+    <td><span class="time">1.638738868344895e-5</span></td>
+    <td><span class="confinterval citime">3.138411832944344e-5</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have moderate
-     (<span class="percent">0.1738552858493786</span>%)
+   <p>Outlying measurements have slight
+     (<span class="percent">1.5380859375000024e-2</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b66">deserialization (time)/Iris-cereal</a></h2>
+<h2><a name="b66">serialization (time)/Iris-binary</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4135,25 +4135,25 @@ <h2><a name="b66">deserialization (time)/Iris-cereal</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">0.10767354375815817</span></td>
-    <td><span class="time">0.1257585162729291</span></td>
-    <td><span class="confinterval citime">0.14719426884715045</span></td>
+    <td><span class="confinterval citime">0.1313040356617421</span></td>
+    <td><span class="time">0.13641330962751194</span></td>
+    <td><span class="confinterval citime">0.1422394276513452</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">2.2330194234002117e-2</span></td>
-    <td><span class="time">3.0524126214603084e-2</span></td>
-    <td><span class="confinterval citime">4.0099495730523446e-2</span></td>
+    <td><span class="confinterval citime">6.729182006644653e-3</span></td>
+    <td><span class="time">8.776198511672764e-3</span></td>
+    <td><span class="confinterval citime">1.1752412240607132e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
-   <p>Outlying measurements have severe
-     (<span class="percent">0.731351629280376</span>%)
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.11762689055734288</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b67">deserialization (time)/Iris-persist</a></h2>
+<h2><a name="b67">serialization (time)/Iris-cereal</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4193,25 +4193,25 @@ <h2><a name="b67">deserialization (time)/Iris-persist</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">3.9835788261184196e-2</span></td>
-    <td><span class="time">4.571355838174234e-2</span></td>
-    <td><span class="confinterval citime">5.453721045729777e-2</span></td>
+    <td><span class="confinterval citime">2.3337264939540248e-2</span></td>
+    <td><span class="time">2.5225825182329353e-2</span></td>
+    <td><span class="confinterval citime">2.8123979508127117e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.0582780054858859e-2</span></td>
-    <td><span class="time">1.3716526531054712e-2</span></td>
-    <td><span class="confinterval citime">1.8477313437373e-2</span></td>
+    <td><span class="confinterval citime">3.142135997240207e-3</span></td>
+    <td><span class="time">4.9016016998441525e-3</span></td>
+    <td><span class="confinterval citime">6.866232961573671e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.8365956244324932</span>%)
+     (<span class="percent">0.7758981643700384</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b68">deserialization (time)/Iris-packman</a></h2>
+<h2><a name="b68">serialization (time)/Iris-persist</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4251,25 +4251,25 @@ <h2><a name="b68">deserialization (time)/Iris-packman</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">7.761464247273074e-2</span></td>
-    <td><span class="time">8.843350074396877e-2</span></td>
-    <td><span class="confinterval citime">0.10470825906783815</span></td>
+    <td><span class="confinterval citime">4.794161471889479e-3</span></td>
+    <td><span class="time">5.501354001829529e-3</span></td>
+    <td><span class="confinterval citime">6.647830493568619e-3</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.6423973405364813e-2</span></td>
-    <td><span class="time">2.1461447920100244e-2</span></td>
-    <td><span class="confinterval citime">3.0784126456256267e-2</span></td>
+    <td><span class="confinterval citime">1.9400089310116617e-3</span></td>
+    <td><span class="time">2.667785490603313e-3</span></td>
+    <td><span class="confinterval citime">4.043461213296783e-3</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.7599456086300549</span>%)
+     (<span class="percent">0.9734209108937993</span>%)
      effect on estimated standard deviation.</p>
  </span>
-<h2><a name="b69">deserialization (time)/Iris-serialise</a></h2>
+<h2><a name="b69">serialization (time)/Iris-packman</a></h2>
  <table width="100%">
   <tbody>
    <tr>
@@ -4309,22 +4309,602 @@ <h2><a name="b69">deserialization (time)/Iris-serialise</a></h2>
    </tr>
    <tr>
     <td>Mean execution time</td>
-    <td><span class="confinterval citime">9.825522248588857e-2</span></td>
-    <td><span class="time">0.10632834676160383</span></td>
-    <td><span class="confinterval citime">0.11920385442122267</span></td>
+    <td><span class="confinterval citime">3.733714616152398e-2</span></td>
+    <td><span class="time">3.9430499545564046e-2</span></td>
+    <td><span class="confinterval citime">4.37117545792936e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">3.0752100410004497e-3</span></td>
+    <td><span class="time">5.611353463399614e-3</span></td>
+    <td><span class="confinterval citime">8.572191800975638e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.5534338470458892</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b70">serialization (time)/Iris-serialise</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde70" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time70" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle70" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb70">xxx</span></td>
+    <td><span class="olstimept70">xxx</span></td>
+    <td><span class="confinterval olstimeub70">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb70">xxx</span></td>
+    <td><span class="olsr2pt70">xxx</span></td>
+    <td><span class="confinterval olsr2ub70">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">2.034270011954313e-2</span></td>
+    <td><span class="time">2.2258323429717085e-2</span></td>
+    <td><span class="confinterval citime">2.5333130202608772e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">3.6251508629911535e-3</span></td>
+    <td><span class="time">5.432343309655423e-3</span></td>
+    <td><span class="confinterval citime">8.070651443392097e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.8405237095716644</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b71">serialization (time)/Iris-winery</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde71" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time71" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle71" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb71">xxx</span></td>
+    <td><span class="olstimept71">xxx</span></td>
+    <td><span class="confinterval olstimeub71">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb71">xxx</span></td>
+    <td><span class="olsr2pt71">xxx</span></td>
+    <td><span class="confinterval olsr2ub71">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">5.316396687484891e-3</span></td>
+    <td><span class="time">6.319313834187756e-3</span></td>
+    <td><span class="confinterval citime">7.7678437557533375e-3</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">2.2298205867314013e-3</span></td>
+    <td><span class="time">3.1895534757324425e-3</span></td>
+    <td><span class="confinterval citime">4.9074250418983225e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.9735423631514263</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b72">deserialization (time)/Iris-flat</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde72" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time72" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle72" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb72">xxx</span></td>
+    <td><span class="olstimept72">xxx</span></td>
+    <td><span class="confinterval olstimeub72">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb72">xxx</span></td>
+    <td><span class="olsr2pt72">xxx</span></td>
+    <td><span class="confinterval olsr2ub72">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">2.4950446409505476e-2</span></td>
+    <td><span class="time">2.786895893638522e-2</span></td>
+    <td><span class="confinterval citime">3.165599953911859e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">4.9692184145192315e-3</span></td>
+    <td><span class="time">7.13175812718684e-3</span></td>
+    <td><span class="confinterval citime">1.0632579334070408e-2</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.8140107123405336</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b73">deserialization (time)/Iris-store</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde73" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time73" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle73" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb73">xxx</span></td>
+    <td><span class="olstimept73">xxx</span></td>
+    <td><span class="confinterval olstimeub73">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb73">xxx</span></td>
+    <td><span class="olsr2pt73">xxx</span></td>
+    <td><span class="confinterval olsr2ub73">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">2.054373454626952e-2</span></td>
+    <td><span class="time">2.3010846029031945e-2</span></td>
+    <td><span class="confinterval citime">2.6109255059009948e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">4.874411202642099e-3</span></td>
+    <td><span class="time">6.319875034514514e-3</span></td>
+    <td><span class="confinterval citime">9.054192116683084e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.8860090326325389</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b74">deserialization (time)/Iris-binary</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde74" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time74" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle74" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb74">xxx</span></td>
+    <td><span class="olstimept74">xxx</span></td>
+    <td><span class="confinterval olstimeub74">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb74">xxx</span></td>
+    <td><span class="olsr2pt74">xxx</span></td>
+    <td><span class="confinterval olsr2ub74">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">0.2177398323159044</span></td>
+    <td><span class="time">0.22319221700179492</span></td>
+    <td><span class="confinterval citime">0.23586883489818622</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">3.463255853633773e-3</span></td>
+    <td><span class="time">1.0258592443457617e-2</span></td>
+    <td><span class="confinterval citime">1.4212412070983567e-2</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.13888888888888856</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b75">deserialization (time)/Iris-cereal</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde75" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time75" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle75" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb75">xxx</span></td>
+    <td><span class="olstimept75">xxx</span></td>
+    <td><span class="confinterval olstimeub75">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb75">xxx</span></td>
+    <td><span class="olsr2pt75">xxx</span></td>
+    <td><span class="confinterval olsr2ub75">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">7.845129801771017e-2</span></td>
+    <td><span class="time">8.760110641453117e-2</span></td>
+    <td><span class="confinterval citime">9.694222931140734e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">1.1956640877631054e-2</span></td>
+    <td><span class="time">1.546496764010432e-2</span></td>
+    <td><span class="confinterval citime">2.0605250038938344e-2</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.538362476584044</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b76">deserialization (time)/Iris-persist</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde76" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time76" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle76" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb76">xxx</span></td>
+    <td><span class="olstimept76">xxx</span></td>
+    <td><span class="confinterval olstimeub76">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb76">xxx</span></td>
+    <td><span class="olsr2pt76">xxx</span></td>
+    <td><span class="confinterval olsr2ub76">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">2.6067756558906204e-2</span></td>
+    <td><span class="time">2.9049131540568738e-2</span></td>
+    <td><span class="confinterval citime">3.299877689605859e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">5.300316025382386e-3</span></td>
+    <td><span class="time">7.115114075360772e-3</span></td>
+    <td><span class="confinterval citime">9.573132990716632e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.8131390204322918</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b77">deserialization (time)/Iris-packman</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde77" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time77" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle77" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb77">xxx</span></td>
+    <td><span class="olstimept77">xxx</span></td>
+    <td><span class="confinterval olstimeub77">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb77">xxx</span></td>
+    <td><span class="olsr2pt77">xxx</span></td>
+    <td><span class="confinterval olsr2ub77">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">5.081465779115785e-2</span></td>
+    <td><span class="time">5.639148234520361e-2</span></td>
+    <td><span class="confinterval citime">6.590116654219835e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">8.669990874604534e-3</span></td>
+    <td><span class="time">1.3363681528616795e-2</span></td>
+    <td><span class="confinterval citime">1.972263128494881e-2</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.7369582433050119</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b78">deserialization (time)/Iris-serialise</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde78" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time78" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle78" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb78">xxx</span></td>
+    <td><span class="olstimept78">xxx</span></td>
+    <td><span class="confinterval olstimeub78">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb78">xxx</span></td>
+    <td><span class="olsr2pt78">xxx</span></td>
+    <td><span class="confinterval olsr2ub78">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">6.613766654914656e-2</span></td>
+    <td><span class="time">7.033515303280785e-2</span></td>
+    <td><span class="confinterval citime">7.773861181781147e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="confinterval citime">6.264232810854701e-3</span></td>
+    <td><span class="time">9.13958620694424e-3</span></td>
+    <td><span class="confinterval citime">1.3164833664965903e-2</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.43716449352902115</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b79">deserialization (time)/Iris-winery</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde79" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time79" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+<!--
+    <td><div id="cycle79" class="cyclechart"
+             style="width:300px;height:278px;"></div></td>
+-->
+   </tr>
+  </tbody>
+ </table>
+
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>OLS regression</td>
+    <td><span class="confinterval olstimelb79">xxx</span></td>
+    <td><span class="olstimept79">xxx</span></td>
+    <td><span class="confinterval olstimeub79">xxx</span></td>
+   </tr>
+   <tr>
+    <td>R&#xb2; goodness-of-fit</td>
+    <td><span class="confinterval olsr2lb79">xxx</span></td>
+    <td><span class="olsr2pt79">xxx</span></td>
+    <td><span class="confinterval olsr2ub79">xxx</span></td>
+   </tr>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="confinterval citime">4.1092726045649654e-2</span></td>
+    <td><span class="time">4.641845372356601e-2</span></td>
+    <td><span class="confinterval citime">5.196966436703276e-2</span></td>
    </tr>
    <tr>
     <td>Standard deviation</td>
-    <td><span class="confinterval citime">1.1193980317141814e-2</span></td>
-    <td><span class="time">1.7237719311895588e-2</span></td>
-    <td><span class="confinterval citime">2.270565126513454e-2</span></td>
+    <td><span class="confinterval citime">8.282642379204671e-3</span></td>
+    <td><span class="time">1.088580251104147e-2</span></td>
+    <td><span class="confinterval citime">1.5103745362212971e-2</span></td>
    </tr>
   </tbody>
  </table>
 
  <span class="outliers">
    <p>Outlying measurements have severe
-     (<span class="percent">0.5351677248009741</span>%)
+     (<span class="percent">0.7562992245296507</span>%)
      effect on estimated standard deviation.</p>
  </span>
 
@@ -4512,13 +5092,13 @@ <h2><a name="grokularation">understanding this report</a></h2>
       $.addTooltip("#cycles" + number, function(x,y) { return x + ' cycles'; });
     }
   };
-  var reports = 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   reports.map(mangulate);
 
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+  var means = $.scaleTimes([2.210666229012882e-3,1.5287877155365241e-3,1.0102391048839334e-2,7.05243514048153e-3,1.736073518815888e-3,5.53067711116023e-2,1.543150124237007e-2,4.686442990399661e-3,9.42873441395142e-3,1.1293129772842232e-2,3.754141736983209e-2,1.229521125858962e-2,9.242948033523603e-3,7.288920906309052e-2,3.86400875191176e-2,1.0088161146925187e-2,6.66512937050694e-2,7.157045810158996e-2,1.2667607822125622,0.9891014908110568,7.644827202064104e-2,3.2305580219253898,1.516170322652518,4.9726921917329886e-2,0.3544143141480163,0.27649961359022807,1.3019647551409435,0.3609781318518799,0.29021605603086453,2.529749316551412,1.537655603257008,0.44342107250122353,9.629221881230195e-2,7.811949078544295e-2,1.4743521013200127,0.6962612657225691,6.338723586964641e-2,2.7310330050822813,2.088774263887899,0.12339135732853763,0.3230545496044215,0.3148924066343655,2.1769524154175692,1.0540080783054389,0.28632453326135876,2.3717720900507024,2.5683735869824886,0.32173960840019084,4.325591935403189e-3,2.1451241059468715e-3,3.0789327065479707e-2,1.4833149738163383e-2,5.655368858870023e-3,2.3533868777463357e-2,4.2314775327085864e-2,1.8603130396487799e-3,1.5709581037709093e-2,1.3711663701754362e-2,9.038738467460794e-2,3.801226272836256e-2,1.2641673073255753e-2,3.0543626258028138e-2,9.966078158289382e-2,1.6622600126813457e-2,7.5639437514173355e-3,1.4128569613512487e-3,0.13641330962751194,2.5225825182329353e-2,5.501354001829529e-3,3.9430499545564046e-2,2.2258323429717085e-2,6.319313834187756e-3,2.786895893638522e-2,2.3010846029031945e-2,0.22319221700179492,8.760110641453117e-2,2.9049131540568738e-2,5.639148234520361e-2,7.033515303280785e-2,4.641845372356601e-2,]);
+  var stddevs = [6.457942588284099e-6,5.490829801133763e-6,2.6429029269679366e-5,2.8644484559869486e-5,1.7380924281534024e-4,8.658032355923401e-3,5.644101945594223e-4,5.099899914362584e-4,2.8865938977382984e-3,3.461629275893616e-3,4.524075555722759e-3,3.1384790765934213e-3,2.8902101740199133e-3,2.0488270070752983e-2,3.8980083473659334e-3,3.2559068081825194e-3,3.234164743382942e-3,9.930148830276864e-3,4.728210740018397e-2,2.4206047697961686e-2,1.0897379784508115e-2,3.92880602221271e-2,2.008669632387949e-2,8.246097710048412e-3,3.816004180013406e-2,3.166561242857747e-2,2.7844275911655583e-2,3.493677144966185e-2,3.324653613421514e-2,0.12816553983276485,4.795683940877492e-2,6.443573952757112e-2,1.538676960440513e-4,6.1759736420718015e-3,3.9752722842694835e-2,4.871199558408055e-2,5.46624850059921e-3,3.374095860680886e-2,1.4950440113705775e-2,9.582461372173686e-3,2.8659220928347127e-2,2.8368482469839952e-2,5.786832964620346e-2,7.392302540898364e-2,2.5503745801918384e-2,0.10113030846338486,3.1233100625983334e-2,2.9229379827648734e-2,7.032314577427676e-5,9.779064397348947e-4,2.1788169396263733e-3,1.8257855692425235e-3,1.4059916848651864e-3,4.930231448947088e-3,6.246694715060654e-4,2.8772235957830814e-5,4.512665012131747e-3,3.8317762294589773e-3,1.1394243708101954e-2,6.786059188866766e-3,3.4277865890632916e-3,9.964698571789592e-3,4.6309269831562834e-3,4.899085924042239e-3,2.8205998484812866e-3,1.638738868344895e-5,8.776198511672764e-3,4.9016016998441525e-3,2.667785490603313e-3,5.611353463399614e-3,5.432343309655423e-3,3.1895534757324425e-3,7.13175812718684e-3,6.319875034514514e-3,1.0258592443457617e-2,1.546496764010432e-2,7.115114075360772e-3,1.3363681528616795e-2,9.13958620694424e-3,1.088580251104147e-2,];
   stddevs = $.scaleBy(means[1], stddevs);
   var xs = [];
   var prev = null;
@@ -4546,10 +5126,11 @@ <h2><a name="grokularation">understanding this report</a></h2>
     max_time = Math.max(max_time, means[0][i] + stddevs[i]);
   }
   var oq = $("#overview");
+  var max_x = max_time * 1.02;
   o = $.plot(oq, xs, { grid: { borderColor: "#777", hoverable: true },
                        legend: { show: xs.length > 1 },
-                       xaxis: { max: max_time * 1.02 },
-                       yaxis: { ticks: ylabels, tickColor: '#ffffff' },
+                       xaxis: { max: max_x, zoomRange: [false, max_x], panRange: [0, max_x] },
+                       yaxis: { ticks: ylabels, tickColor: '#ffffff', zoomRange: false, panRange: false },
                        zoom: { interactive: true, amount: 1.05 },
                        pan: { interactive: true } });
   if (benches.length > 3)
diff --git a/report.json b/report.json
index 8739da3..709e5a9 100644
--- a/report.json
+++ b/report.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/report.md b/report.md
index e6ba231..d60596e 100644
--- a/report.md
+++ b/report.md
@@ -4,13 +4,14 @@ Results that are within 30% of the best result are displayed in **bold**.
 
 | package | performance |
 | ---| ---|
-| **flat**      |     **1.0** |
 | **persist**   |     **1.0** |
 | **store**     |     **1.1** |
-| cereal    |     3.4 |
-| binary    |     6.7 |
-| serialise |     7.8 |
-| packman   |     8.2 |
+| **winery**    |     **1.1** |
+| **flat**      |     **1.1** |
+| cereal    |     3.7 |
+| binary    |     7.6 |
+| packman   |     8.3 |
+| serialise |     9.0 |
 
 #### deserialization (time)/BinTree Int (best first)
 
@@ -18,107 +19,116 @@ Results that are within 30% of the best result are displayed in **bold**.
 | ---| ---|
 | **store**     |     **1.0** |
 | **persist**   |     **1.0** |
-| **flat**      |     **1.1** |
-| **cereal**    |     **1.1** |
-| binary    |     3.9 |
-| serialise |     4.1 |
-| packman   |     8.4 |
+| **flat**      |     **1.3** |
+| cereal    |     1.3 |
+| winery    |     1.6 |
+| binary    |     4.7 |
+| serialise |     5.6 |
+| packman   |     9.1 |
 
 #### deserialization (time)/Cars (best first)
 
 | package | performance |
 | ---| ---|
 | **persist**   |     **1.0** |
-| **flat**      |     **1.0** |
 | **store**     |     **1.1** |
-| packman   |     2.1 |
-| cereal    |     2.4 |
-| binary    |     5.5 |
-| serialise |     5.9 |
+| **flat**      |     **1.2** |
+| winery    |     1.3 |
+| packman   |     2.4 |
+| cereal    |     3.0 |
+| binary    |     7.1 |
+| serialise |     7.9 |
 
 #### deserialization (time)/Iris (best first)
 
 | package | performance |
 | ---| ---|
 | **store**     |     **1.0** |
-| **persist**   |     **1.2** |
 | **flat**      |     **1.2** |
-| packman   |     2.2 |
-| serialise |     2.7 |
-| cereal    |     3.2 |
-| binary    |     7.6 |
+| **persist**   |     **1.3** |
+| winery    |     2.0 |
+| packman   |     2.5 |
+| serialise |     3.1 |
+| cereal    |     3.8 |
+| binary    |     9.7 |
 
 #### deserialization (time)/[Direction] (best first)
 
 | package | performance |
 | ---| ---|
+| **persist**   |     **1.0** |
 | **flat**      |     **1.0** |
-| **persist**   |     **1.1** |
-| **cereal**    |     **1.3** |
-| **store**     |     **1.3** |
-| binary    |     3.3 |
-| serialise |     4.5 |
-| packman   |     8.1 |
+| **winery**    |     **1.1** |
+| **store**     |     **1.2** |
+| cereal    |     1.3 |
+| binary    |     4.1 |
+| serialise |     4.2 |
+| packman   |     7.9 |
 
 #### serialization (time)/BinTree Direction (best first)
 
 | package | performance |
 | ---| ---|
 | **persist**   |     **1.0** |
-| **store**     |     **1.3** |
-| flat      |     1.4 |
-| cereal    |    13.4 |
-| binary    |    24.5 |
-| packman   |    35.4 |
-| serialise |    37.4 |
+| **store**     |     **1.2** |
+| flat      |     1.5 |
+| winery    |     1.9 |
+| cereal    |    11.0 |
+| binary    |    23.3 |
+| serialise |    33.0 |
+| packman   |    43.1 |
 
 #### serialization (time)/BinTree Int (best first)
 
 | package | performance |
 | ---| ---|
-| **flat**      |     **1.0** |
-| **persist**   |     **1.2** |
-| **store**     |     **1.3** |
-| cereal    |    19.5 |
-| binary    |    23.4 |
-| serialise |    27.8 |
-| packman   |    40.7 |
+| **winery**    |     **1.0** |
+| flat      |     1.3 |
+| store     |     1.4 |
+| persist   |     1.5 |
+| cereal    |    19.9 |
+| binary    |    25.5 |
+| serialise |    30.5 |
+| packman   |    65.0 |
 
 #### serialization (time)/Cars (best first)
 
 | package | performance |
 | ---| ---|
-| **store**     |     **1.0** |
-| flat      |     1.5 |
-| persist   |     2.0 |
-| cereal    |     4.9 |
-| serialise |     6.0 |
-| packman   |     9.7 |
-| binary    |    10.3 |
+| **winery**    |     **1.0** |
+| **store**     |     **1.2** |
+| flat      |     2.3 |
+| persist   |     3.0 |
+| cereal    |     8.0 |
+| packman   |    12.7 |
+| binary    |    16.6 |
+| serialise |    22.7 |
 
 #### serialization (time)/Iris (best first)
 
 | package | performance |
 | ---| ---|
 | **store**     |     **1.0** |
-| flat      |     5.6 |
-| serialise |    12.1 |
-| cereal    |    17.7 |
-| packman   |    28.2 |
-| persist   |    32.8 |
-| binary    |    87.9 |
+| persist   |     3.9 |
+| winery    |     4.5 |
+| flat      |     5.4 |
+| serialise |    15.8 |
+| cereal    |    17.9 |
+| packman   |    27.9 |
+| binary    |    96.6 |
 
 #### serialization (time)/[Direction] (best first)
 
 | package | performance |
 | ---| ---|
-| **persist**   |     **1.0** |
-| **store**     |     **1.1** |
-| **flat**      |     **1.3** |
-| cereal    |     3.9 |
-| binary    |     5.7 |
-| serialise |     9.9 |
-| packman   |    31.5 |
+| **store**     |     **1.0** |
+| **persist**   |     **1.1** |
+| flat      |     1.4 |
+| winery    |     3.1 |
+| cereal    |     4.6 |
+| binary    |     6.6 |
+| serialise |    10.1 |
+| packman   |    36.2 |
 
 #### size (bytes)/BinTree Direction (best first)
 
@@ -129,6 +139,7 @@ Results that are within 30% of the best result are displayed in **bold**.
 | cereal    |     5.5 |
 | persist   |     5.5 |
 | store     |     5.5 |
+| winery    |     5.5 |
 | serialise |    10.9 |
 | packman   |    87.3 |
 
@@ -137,6 +148,7 @@ Results that are within 30% of the best result are displayed in **bold**.
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
+| winery    |     2.4 |
 | serialise |     4.2 |
 | binary    |     8.0 |
 | cereal    |     8.0 |
@@ -149,6 +161,7 @@ Results that are within 30% of the best result are displayed in **bold**.
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
+| winery    |     2.6 |
 | serialise |     5.3 |
 | binary    |     6.1 |
 | cereal    |     6.1 |
@@ -162,6 +175,7 @@ Results that are within 30% of the best result are displayed in **bold**.
 | ---| ---|
 | **packman**   |     **1.0** |
 | **flat**      |     **1.0** |
+| **winery**    |     **1.0** |
 | **cereal**    |     **1.0** |
 | **persist**   |     **1.0** |
 | **store**     |     **1.0** |
@@ -173,6 +187,7 @@ Results that are within 30% of the best result are displayed in **bold**.
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
+| winery    |     2.4 |
 | binary    |     2.4 |
 | cereal    |     2.4 |
 | persist   |     2.4 |
@@ -185,36 +200,39 @@ Results that are within 30% of the best result are displayed in **bold**.
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| persist   |     3.7 |
-| store     |     3.7 |
-| cereal    |     5.2 |
-| binary    |     6.9 |
-| serialise |    11.3 |
-| packman   |    57.0 |
+| persist   |     4.0 |
+| store     |     4.0 |
+| winery    |     4.1 |
+| cereal    |     5.1 |
+| binary    |     6.5 |
+| serialise |    11.0 |
+| packman   |    63.8 |
 
 #### transfer [10 MBits] (time)/BinTree Int (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| serialise |     4.9 |
-| store     |     6.4 |
-| persist   |     6.4 |
-| cereal    |     7.0 |
-| binary    |     7.6 |
-| packman   |    34.6 |
+| winery    |     2.2 |
+| serialise |     4.7 |
+| store     |     6.8 |
+| persist   |     6.8 |
+| cereal    |     7.2 |
+| binary    |     7.7 |
+| packman   |    36.7 |
 
 #### transfer [10 MBits] (time)/Cars (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| store     |     4.9 |
-| persist   |     4.9 |
-| cereal    |     5.2 |
-| serialise |     5.3 |
-| binary    |     6.0 |
-| packman   |     9.2 |
+| winery    |     2.3 |
+| store     |     5.2 |
+| persist   |     5.2 |
+| cereal    |     5.5 |
+| serialise |     5.6 |
+| binary    |     6.1 |
+| packman   |     9.8 |
 
 #### transfer [10 MBits] (time)/Iris (best first)
 
@@ -222,71 +240,77 @@ Results that are within 30% of the best result are displayed in **bold**.
 | ---| ---|
 | **flat**      |     **1.0** |
 | **store**     |     **1.0** |
-| **packman**   |     **1.0** |
 | **persist**   |     **1.0** |
+| **packman**   |     **1.0** |
+| **winery**    |     **1.0** |
 | **cereal**    |     **1.1** |
 | **serialise** |     **1.3** |
-| binary    |     3.3 |
+| binary    |     3.2 |
 
 #### transfer [10 MBits] (time)/[Direction] (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| persist   |     1.9 |
+| persist   |     2.0 |
 | store     |     2.0 |
-| cereal    |     2.1 |
+| winery    |     2.1 |
+| cereal    |     2.2 |
 | binary    |     2.8 |
-| serialise |     4.8 |
-| packman   |    53.2 |
+| serialise |     4.7 |
+| packman   |    58.9 |
 
 #### transfer [100 MBits] (time)/BinTree Direction (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| persist   |     1.6 |
-| store     |     1.7 |
-| cereal    |     4.8 |
-| binary    |     8.5 |
-| serialise |    11.7 |
-| packman   |    21.6 |
+| persist   |     1.7 |
+| store     |     1.8 |
+| winery    |     1.9 |
+| cereal    |     4.4 |
+| binary    |     8.1 |
+| serialise |    11.1 |
+| packman   |    25.7 |
 
 #### transfer [100 MBits] (time)/BinTree Int (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| store     |     2.7 |
-| persist   |     2.7 |
-| cereal    |     4.7 |
-| serialise |     6.5 |
-| binary    |     6.8 |
-| packman   |    19.6 |
+| winery    |     1.6 |
+| store     |     3.2 |
+| persist   |     3.2 |
+| cereal    |     4.8 |
+| serialise |     6.2 |
+| binary    |     6.7 |
+| packman   |    22.9 |
 
 #### transfer [100 MBits] (time)/Cars (best first)
 
 | package | performance |
 | ---| ---|
 | **flat**      |     **1.0** |
-| store     |     2.2 |
-| persist   |     2.2 |
-| cereal    |     3.3 |
-| packman   |     4.8 |
-| serialise |     5.3 |
-| binary    |     5.7 |
+| winery    |     1.5 |
+| store     |     2.5 |
+| persist   |     2.5 |
+| cereal    |     3.7 |
+| packman   |     5.4 |
+| binary    |     6.1 |
+| serialise |     6.5 |
 
 #### transfer [100 MBits] (time)/Iris (best first)
 
 | package | performance |
 | ---| ---|
 | **store**     |     **1.0** |
-| **flat**      |     **1.1** |
-| **persist**   |     **1.3** |
-| packman   |     1.4 |
-| cereal    |     1.5 |
+| **flat**      |     **1.0** |
+| **persist**   |     **1.0** |
+| **winery**    |     **1.1** |
+| packman   |     1.3 |
+| cereal    |     1.4 |
 | serialise |     1.5 |
-| binary    |     4.5 |
+| binary    |     4.3 |
 
 #### transfer [100 MBits] (time)/[Direction] (best first)
 
@@ -295,22 +319,24 @@ Results that are within 30% of the best result are displayed in **bold**.
 | **flat**      |     **1.0** |
 | **persist**   |     **1.3** |
 | store     |     1.4 |
-| cereal    |     1.7 |
-| binary    |     3.4 |
-| serialise |     5.0 |
-| packman   |    21.4 |
+| winery    |     1.5 |
+| cereal    |     1.8 |
+| binary    |     3.7 |
+| serialise |     4.7 |
+| packman   |    25.5 |
 
 #### transfer [1000 MBits] (time)/BinTree Direction (best first)
 
 | package | performance |
 | ---| ---|
-| **flat**      |     **1.0** |
 | **persist**   |     **1.0** |
-| **store**     |     **1.2** |
-| cereal    |     4.7 |
-| binary    |     9.0 |
-| serialise |    11.8 |
-| packman   |    12.9 |
+| **flat**      |     **1.1** |
+| **store**     |     **1.1** |
+| **winery**    |     **1.2** |
+| cereal    |     4.5 |
+| binary    |     9.3 |
+| serialise |    11.9 |
+| packman   |    14.8 |
 
 #### transfer [1000 MBits] (time)/BinTree Int (best first)
 
@@ -319,44 +345,48 @@ Results that are within 30% of the best result are displayed in **bold**.
 | **flat**      |     **1.0** |
 | **store**     |     **1.2** |
 | **persist**   |     **1.2** |
-| cereal    |     3.8 |
-| binary    |     6.5 |
-| serialise |     7.2 |
-| packman   |    13.4 |
+| **winery**    |     **1.2** |
+| cereal    |     3.4 |
+| binary    |     6.2 |
+| serialise |     7.1 |
+| packman   |    15.0 |
 
 #### transfer [1000 MBits] (time)/Cars (best first)
 
 | package | performance |
 | ---| ---|
+| **winery**    |     **1.0** |
 | **flat**      |     **1.0** |
-| **store**     |     **1.1** |
-| **persist**   |     **1.2** |
-| cereal    |     2.6 |
+| **store**     |     **1.0** |
+| **persist**   |     **1.1** |
+| cereal    |     2.8 |
 | packman   |     3.1 |
-| serialise |     5.3 |
-| binary    |     5.6 |
+| binary    |     6.1 |
+| serialise |     7.0 |
 
 #### transfer [1000 MBits] (time)/Iris (best first)
 
 | package | performance |
 | ---| ---|
 | **store**     |     **1.0** |
-| **flat**      |     **1.3** |
-| persist   |     2.1 |
-| serialise |     2.5 |
-| packman   |     2.7 |
-| cereal    |     2.9 |
-| binary    |     8.7 |
+| **persist**   |     **1.2** |
+| **flat**      |     **1.2** |
+| winery    |     1.6 |
+| packman   |     2.6 |
+| serialise |     2.6 |
+| cereal    |     3.0 |
+| binary    |     9.5 |
 
 #### transfer [1000 MBits] (time)/[Direction] (best first)
 
 | package | performance |
 | ---| ---|
+| **persist**   |     **1.0** |
 | **flat**      |     **1.0** |
-| **persist**   |     **1.1** |
 | **store**     |     **1.2** |
-| cereal    |     1.6 |
-| binary    |     3.5 |
-| serialise |     5.1 |
-| packman   |    12.3 |
+| winery    |     1.3 |
+| cereal    |     1.7 |
+| binary    |     4.1 |
+| serialise |     4.7 |
+| packman   |    13.1 |
 
diff --git a/serialization.cabal b/serialization.cabal
index 03c1c78..6a1a9a4 100644
--- a/serialization.cabal
+++ b/serialization.cabal
@@ -25,7 +25,8 @@ library
                  binary,
                  flat,
                  packman,
-                 store
+                 store,
+                 winery
 
 test-suite docs
   default-language:   Haskell2010
@@ -59,7 +60,8 @@ benchmark all
                 flat,
                 packman,
                 store,
+                winery,
                 datasets
   hs-source-dirs:      src
   ghc-options:         -Wall -fno-warn-orphans -Wno-name-shadowing -Wno-unused-matches -O2
-  --ghc-options:         -Wall -O2 -ddump-simpl -dsuppress-idinfo -ddump-to-file
\ No newline at end of file
+  --ghc-options:         -Wall -O2 -ddump-simpl -dsuppress-idinfo -ddump-to-file
diff --git a/src/Dataset.hs b/src/Dataset.hs
index fee0861..b094fe4 100644
--- a/src/Dataset.hs
+++ b/src/Dataset.hs
@@ -10,6 +10,7 @@ import qualified Data.Flat                  as F
 import qualified Data.Serialize             as C
 import qualified Data.Persist                as R
 import qualified Data.Store                 as S
+import qualified Data.Winery                as W
 import           Numeric.Datasets           (getDataset)
 -- import           Numeric.Datasets.Abalone   (abalone)
 import           Numeric.Datasets.Car
@@ -22,6 +23,8 @@ instance CBOR.Serialise RelScore
 instance F.Flat RelScore
 instance S.Store RelScore
 instance R.Persist RelScore
+instance W.Serialise RelScore where
+  bundleSerialise = W.bundleVariant id
 
 instance NFData RelSize
 instance B.Binary RelSize
@@ -30,6 +33,8 @@ instance CBOR.Serialise RelSize
 instance F.Flat RelSize
 instance S.Store RelSize
 instance R.Persist RelSize
+instance W.Serialise RelSize where
+  bundleSerialise = W.bundleVariant id
 
 instance NFData Acceptability
 instance B.Binary Acceptability
@@ -38,6 +43,8 @@ instance CBOR.Serialise Acceptability
 instance F.Flat Acceptability
 instance S.Store Acceptability
 instance R.Persist Acceptability
+instance W.Serialise Acceptability where
+  bundleSerialise = W.bundleVariant id
 
 instance NFData Count
 instance B.Binary Count
@@ -46,6 +53,8 @@ instance CBOR.Serialise Count
 instance F.Flat Count
 instance S.Store Count
 instance R.Persist Count
+instance W.Serialise Count where
+  bundleSerialise = W.bundleVariant id
 
 deriving instance Eq Car
 instance NFData Car
@@ -55,6 +64,8 @@ instance CBOR.Serialise Car
 instance F.Flat Car
 instance S.Store Car
 instance R.Persist Car
+instance W.Serialise Car where
+  bundleSerialise = W.bundleRecord id
 
 deriving instance Eq Iris
 instance NFData Iris
@@ -64,6 +75,8 @@ instance CBOR.Serialise Iris
 instance F.Flat Iris
 instance S.Store Iris
 instance R.Persist Iris
+instance W.Serialise Iris where
+  bundleSerialise = W.bundleRecord id
 
 instance NFData IrisClass
 instance B.Binary IrisClass
@@ -72,6 +85,8 @@ instance CBOR.Serialise IrisClass
 instance F.Flat IrisClass
 instance S.Store IrisClass
 instance R.Persist IrisClass
+instance W.Serialise IrisClass where
+  bundleSerialise = W.bundleVariant id
 
 -- irisData = iris
 irisData :: [Iris]
diff --git a/src/Main.hs b/src/Main.hs
index 77b148f..823dcdd 100644
--- a/src/Main.hs
+++ b/src/Main.hs
@@ -26,6 +26,7 @@ import qualified Data.Store           as S
 import qualified Data.Text            as T
 import qualified Data.Text.Encoding   as T
 import           Data.Typeable
+import qualified Data.Winery          as W
 import           Dataset
 import           GHC.Generics
 import qualified GHC.Packing          as P
@@ -58,6 +59,9 @@ instance {-# OVERLAPPABLE #-} R.Persist a => R.Persist (BinTree a)
 instance {-# OVERLAPPABLE #-} CBOR.Serialise a =>
                               CBOR.Serialise (BinTree a)
 
+instance W.Serialise a => W.Serialise (BinTree a) where
+  bundleSerialise = W.bundleVariant id
+
 -- -- Specialised instances, might increase performance
 -- instance {-# OVERLAPPING #-} F.Flat [Direction]
 -- instance {-# OVERLAPPING #-} F.Flat (BinTree Direction)
@@ -108,6 +112,8 @@ data Direction
            , R.Persist
            , F.Flat
            )
+instance W.Serialise Direction where
+  bundleSerialise = W.bundleVariant id
 
 instance Arbitrary Direction where
   arbitrary = elements [North, South, Center, East, West]
@@ -175,6 +181,8 @@ data PkgStore =
 data PkgShow =
     PkgShow
 
+data PkgWinery = PkgWinery
+
 class Serialize lib a where
   serialize :: lib -> a -> IO BS.ByteString
   deserialize :: lib -> BS.ByteString -> IO a
@@ -229,6 +237,12 @@ instance (Show a, Read a, NFData a) => Serialize PkgShow a where
     {-# NOINLINE deserialize #-}
     deserialize _ = return . force . read . T.unpack . T.decodeUtf8
 
+instance (W.Serialise a, NFData a) => Serialize PkgWinery a where
+  {-# NOINLINE serialize #-}
+  serialize _ = return . force . W.serialiseOnly
+  {-# NOINLINE deserialize #-}
+  deserialize _ = return . force . W.evalDecoder W.decodeCurrent
+
 pkgs ::
      ( NFData a
      , C.Serialize a
@@ -238,6 +252,7 @@ pkgs ::
      , S.Store a
      , F.Flat a
      , B.Binary a
+     , W.Serialise a
      , Show a
      , Read a
      )
@@ -254,6 +269,7 @@ pkgs =
   , ("persist", serialize PkgPersist, deserialize PkgPersist)
   , ("packman", serialize PkgPackman, deserialize PkgPackman)
   , ("serialise", serialize PkgCBOR, deserialize PkgCBOR)
+  , ("winery", serialize PkgWinery, deserialize PkgWinery)
   -- , ("show", serialize PkgShow, deserialize PkgShow)
   ]
 
@@ -342,6 +358,7 @@ sizes ::
      , R.Persist t
      , C.Serialize t
      , S.Store t,Show t, Read t
+     , W.Serialise t
      )
   => (String, t)
   -> IO ()
@@ -363,6 +380,7 @@ benchs ::
      , R.Persist a
      , C.Serialize a
      , S.Store a,Read a,Show a
+     , W.Serialise a
      )
   => (String, a)
   -> [Benchmark]