linkedhashmap 0.2.0.0 → 0.3.0.0

raw patch · 5 files changed

+197/−190 lines, 5 filesPVP ok

version bump matches the API change (PVP)

API changes (from Hackage documentation)

Files

• README.md +2/−1
• benchmarks/report.html +142/−142
• linkedhashmap.cabal +2/−2
• src/Data/LinkedHashMap/IntMap.hs +14/−14
• src/Data/LinkedHashMap/Seq.hs +37/−31

@@ -8,4 +8,5 @@ Two different implementations are based on Data.Sequence and Data.IntMap.Strict to keep keys in the order of insertion. -Criterion report: https://cdn.rawgit.com/abasko/linkedhashmap/master/benchmarks/report.html+Criterion report: https://cdn.rawgit.com/abasko/linkedhashmap/68de7332e80db673e024906321ad2e14c2baa4d1/benchmarks/report.html+

@@ -291,22 +291,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">5.823798239025967e-2</span></td>-    <td><span class="time">5.9465569626123836e-2</span></td>-    <td><span class="confinterval citime">6.0694053281797784e-2</span></td>+    <td><span class="confinterval citime">5.430087062139572e-2</span></td>+    <td><span class="time">5.5306861611212614e-2</span></td>+    <td><span class="confinterval citime">5.6675910888740404e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.6944658578048838e-3</span></td>-    <td><span class="time">2.112252319987771e-3</span></td>-    <td><span class="confinterval citime">2.7417215018326795e-3</span></td>+    <td><span class="confinterval citime">1.3997181820719936e-3</span></td>+    <td><span class="time">2.0765077546525262e-3</span></td>+    <td><span class="confinterval citime">3.1342865183418074e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">7.638888888888887e-2</span>%)+     (<span class="percent">7.691876843351375e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b1">fromList/LinkedHashMap.Seq</a></h2>@@ -349,22 +349,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.10609368783234072</span></td>-    <td><span class="time">0.10741278217800422</span></td>-    <td><span class="confinterval citime">0.10878098875918617</span></td>+    <td><span class="confinterval citime">0.1118768702656383</span></td>+    <td><span class="time">0.11365900137786449</span></td>+    <td><span class="confinterval citime">0.11530133712650943</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.470629283793434e-3</span></td>-    <td><span class="time">2.177175578188104e-3</span></td>-    <td><span class="confinterval citime">3.1821417017396407e-3</span></td>+    <td><span class="confinterval citime">1.8375882037615183e-3</span></td>+    <td><span class="time">2.518686102060762e-3</span></td>+    <td><span class="confinterval citime">3.348851243754148e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">9.876543209876543e-2</span>%)+   <p>Outlying measurements have moderate+     (<span class="percent">0.109375</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b2">fromList/LinkedHashMap.IntMap</a></h2>@@ -407,22 +407,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.1419488462850627</span></td>-    <td><span class="time">0.14398421525034588</span></td>-    <td><span class="confinterval citime">0.14570120007874124</span></td>+    <td><span class="confinterval citime">0.13616156056465584</span></td>+    <td><span class="time">0.13991178703941676</span></td>+    <td><span class="confinterval citime">0.1465616479489535</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.6606168785365059e-3</span></td>-    <td><span class="time">2.46836135133423e-3</span></td>-    <td><span class="confinterval citime">3.8754143338653735e-3</span></td>+    <td><span class="confinterval citime">2.495435373816608e-3</span></td>+    <td><span class="time">7.137081410157575e-3</span></td>+    <td><span class="confinterval citime">1.0954786477752082e-2</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.12244897959183672</span>%)+     (<span class="percent">0.11327217785466746</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b3">fromList/LinkedHashSet</a></h2>@@ -465,22 +465,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.11078549811760263</span></td>-    <td><span class="time">0.11302955501645821</span></td>-    <td><span class="confinterval citime">0.11555986785536974</span></td>+    <td><span class="confinterval citime">0.10832844180195576</span></td>+    <td><span class="time">0.11112111195283281</span></td>+    <td><span class="confinterval citime">0.11456346264201635</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">2.4100957998699573e-3</span></td>-    <td><span class="time">3.5384903020810893e-3</span></td>-    <td><span class="confinterval citime">5.039968462750431e-3</span></td>+    <td><span class="confinterval citime">3.495516077831306e-3</span></td>+    <td><span class="time">4.783726891218055e-3</span></td>+    <td><span class="confinterval citime">6.395679181516847e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have moderate-     (<span class="percent">0.10937500000000001</span>%)+   <p>Outlying measurements have slight+     (<span class="percent">9.95459176947333e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b4">insert/HashMap.Strict</a></h2>@@ -523,22 +523,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">9.66336663500253e-2</span></td>-    <td><span class="time">9.805565911400033e-2</span></td>-    <td><span class="confinterval citime">0.10169472698842674</span></td>+    <td><span class="confinterval citime">9.36859746050086e-2</span></td>+    <td><span class="time">9.564038285186564e-2</span></td>+    <td><span class="confinterval citime">9.765368661116038e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.1675552235736965e-3</span></td>-    <td><span class="time">3.484700388495005e-3</span></td>-    <td><span class="confinterval citime">5.382121244429772e-3</span></td>+    <td><span class="confinterval citime">2.1439719721177337e-3</span></td>+    <td><span class="time">3.059855153748262e-3</span></td>+    <td><span class="confinterval citime">4.096123128351332e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">9.876543209876543e-2</span>%)+     (<span class="percent">9.876543209876541e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b5">insert/LinkedHashMap.Seq</a></h2>@@ -581,22 +581,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.2025353848814711</span></td>-    <td><span class="time">0.20345971933705315</span></td>-    <td><span class="confinterval citime">0.2040105427529429</span></td>+    <td><span class="confinterval citime">0.12925660774424838</span></td>+    <td><span class="time">0.13214900029892288</span></td>+    <td><span class="confinterval citime">0.13636362410684086</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.210753868301209e-4</span></td>-    <td><span class="time">9.459630195315161e-4</span></td>-    <td><span class="confinterval citime">1.336499212402788e-3</span></td>+    <td><span class="confinterval citime">3.2869328172669327e-3</span></td>+    <td><span class="time">5.008508351789427e-3</span></td>+    <td><span class="confinterval citime">7.444706798703425e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.13888888888888867</span>%)+     (<span class="percent">0.109375</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b6">insert/LinkedHashMap.IntMap</a></h2>@@ -639,15 +639,15 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.1450154283838266</span></td>-    <td><span class="time">0.14934753241199314</span></td>-    <td><span class="confinterval citime">0.15289369478044953</span></td>+    <td><span class="confinterval citime">0.1381321991664535</span></td>+    <td><span class="time">0.1408451551438188</span></td>+    <td><span class="confinterval citime">0.14382993468392277</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">2.923149843639434e-3</span></td>-    <td><span class="time">4.974364358895773e-3</span></td>-    <td><span class="confinterval citime">7.327519016203888e-3</span></td>+    <td><span class="confinterval citime">2.593116369287535e-3</span></td>+    <td><span class="time">3.994899078013638e-3</span></td>+    <td><span class="confinterval citime">5.690067129933355e-3</span></td>    </tr>   </tbody>  </table>@@ -697,22 +697,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.17667107898713286</span></td>-    <td><span class="time">0.18105530125365907</span></td>-    <td><span class="confinterval citime">0.18455605071288272</span></td>+    <td><span class="confinterval citime">0.12084342120217309</span></td>+    <td><span class="time">0.12276720309503271</span></td>+    <td><span class="confinterval citime">0.12496266379612098</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.797947273162578e-3</span></td>-    <td><span class="time">5.192148211293511e-3</span></td>-    <td><span class="confinterval citime">6.460445519273326e-3</span></td>+    <td><span class="confinterval citime">2.1659102822166884e-3</span></td>+    <td><span class="time">2.8456342197920293e-3</span></td>+    <td><span class="confinterval citime">3.6654346083441975e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.13888888888888876</span>%)+     (<span class="percent">0.109375</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b8">toList/HashMap.Strict</a></h2>@@ -755,22 +755,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">1.0986631386483989e-2</span></td>-    <td><span class="time">1.1313557825852036e-2</span></td>-    <td><span class="confinterval citime">1.164065580285678e-2</span></td>+    <td><span class="confinterval citime">1.1250000938920172e-2</span></td>+    <td><span class="time">1.1564078052990583e-2</span></td>+    <td><span class="confinterval citime">1.1916531254640409e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">6.512792102167961e-4</span></td>-    <td><span class="time">8.981265209645694e-4</span></td>-    <td><span class="confinterval citime">1.3803696126366038e-3</span></td>+    <td><span class="confinterval citime">6.836980631636226e-4</span></td>+    <td><span class="time">8.690256302020189e-4</span></td>+    <td><span class="confinterval citime">1.1079661243709234e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.39915408748273007</span>%)+     (<span class="percent">0.37760649966406246</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b9">toList/LinkedHashMap.Seq</a></h2>@@ -813,22 +813,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">7.316210535862285e-3</span></td>-    <td><span class="time">7.712936779412751e-3</span></td>-    <td><span class="confinterval citime">8.352414291846506e-3</span></td>+    <td><span class="confinterval citime">9.668126983910865e-3</span></td>+    <td><span class="time">1.0264724493343624e-2</span></td>+    <td><span class="confinterval citime">1.134531974756007e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">8.878397022384322e-4</span></td>-    <td><span class="time">1.3654877505479197e-3</span></td>-    <td><span class="confinterval citime">2.224516357372639e-3</span></td>+    <td><span class="confinterval citime">1.1502333521670755e-3</span></td>+    <td><span class="time">2.1723309778124496e-3</span></td>+    <td><span class="confinterval citime">3.7370394414292024e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have severe-     (<span class="percent">0.8135853625809822</span>%)+     (<span class="percent">0.8579320155725961</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b10">toList/LinkedHashMap.IntMap</a></h2>@@ -871,22 +871,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">5.457266993651209e-3</span></td>-    <td><span class="time">5.8983559099956145e-3</span></td>-    <td><span class="confinterval citime">6.548090342030358e-3</span></td>+    <td><span class="confinterval citime">5.915954672256332e-3</span></td>+    <td><span class="time">6.455850815980168e-3</span></td>+    <td><span class="confinterval citime">7.105598447030257e-3</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.1952569119041787e-3</span></td>-    <td><span class="time">1.63354360340212e-3</span></td>-    <td><span class="confinterval citime">2.493605304861085e-3</span></td>+    <td><span class="confinterval citime">1.3042923623282844e-3</span></td>+    <td><span class="time">1.6841884988224372e-3</span></td>+    <td><span class="confinterval citime">2.573598913431011e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have severe-     (<span class="percent">0.9186261885277799</span>%)+     (<span class="percent">0.9136793173275716</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b11">toList/LinkedHashSet</a></h2>@@ -929,22 +929,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">7.833669556858998e-3</span></td>-    <td><span class="time">8.499252838938794e-3</span></td>-    <td><span class="confinterval citime">9.521341117716452e-3</span></td>+    <td><span class="confinterval citime">6.059316847661113e-3</span></td>+    <td><span class="time">6.573212020409705e-3</span></td>+    <td><span class="confinterval citime">7.337737697536092e-3</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.7282944199500537e-3</span></td>-    <td><span class="time">2.3990190362993507e-3</span></td>-    <td><span class="confinterval citime">3.7117266247703473e-3</span></td>+    <td><span class="confinterval citime">1.376369784330068e-3</span></td>+    <td><span class="time">1.8097239184442714e-3</span></td>+    <td><span class="confinterval citime">2.5927745775057246e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have severe-     (<span class="percent">0.9341495406611672</span>%)+     (<span class="percent">0.9142145289337344</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b12">lookup/HashMap.Strict</a></h2>@@ -987,22 +987,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">2.489899337265906e-2</span></td>-    <td><span class="time">2.5099465869095842e-2</span></td>-    <td><span class="confinterval citime">2.5270911792373504e-2</span></td>+    <td><span class="confinterval citime">2.473729355735698e-2</span></td>+    <td><span class="time">2.504179551543866e-2</span></td>+    <td><span class="confinterval citime">2.5553656780240602e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">2.5311471539792393e-4</span></td>-    <td><span class="time">4.1923359279769426e-4</span></td>-    <td><span class="confinterval citime">6.362718379228563e-4</span></td>+    <td><span class="confinterval citime">5.91114966714086e-4</span></td>+    <td><span class="time">8.6654628690708e-4</span></td>+    <td><span class="confinterval citime">1.2780424853415851e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">4.986149584487534e-2</span>%)+     (<span class="percent">9.765347406472392e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b13">lookup/LinkedHashMap.Seq</a></h2>@@ -1045,15 +1045,15 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">3.131436702754379e-2</span></td>-    <td><span class="time">3.1670726626938255e-2</span></td>-    <td><span class="confinterval citime">3.1926745996675436e-2</span></td>+    <td><span class="confinterval citime">3.08267747073094e-2</span></td>+    <td><span class="time">3.093286253272737e-2</span></td>+    <td><span class="confinterval citime">3.12540073378293e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">4.7097470024281657e-4</span></td>-    <td><span class="time">6.365485988152492e-4</span></td>-    <td><span class="confinterval citime">8.215187597577873e-4</span></td>+    <td><span class="confinterval citime">1.2408752013628844e-4</span></td>+    <td><span class="time">3.421632926602405e-4</span></td>+    <td><span class="confinterval citime">6.268687888922882e-4</span></td>    </tr>   </tbody>  </table>@@ -1103,22 +1103,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">3.296754303406223e-2</span></td>-    <td><span class="time">3.324609867908928e-2</span></td>-    <td><span class="confinterval citime">3.345123926528852e-2</span></td>+    <td><span class="confinterval citime">3.426628612118356e-2</span></td>+    <td><span class="time">3.488420362072054e-2</span></td>+    <td><span class="confinterval citime">3.570621402615471e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.4113036713684933e-4</span></td>-    <td><span class="time">4.982019145900714e-4</span></td>-    <td><span class="confinterval citime">7.059837291481826e-4</span></td>+    <td><span class="confinterval citime">1.0725611598340382e-3</span></td>+    <td><span class="time">1.464618428605021e-3</span></td>+    <td><span class="confinterval citime">1.843688983459404e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">5.859375e-2</span>%)+   <p>Outlying measurements have moderate+     (<span class="percent">0.11634377161476366</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b15">lookup/LinkedHashSet</a></h2>@@ -1161,22 +1161,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">1.774921111186316e-2</span></td>-    <td><span class="time">1.7907792508456342e-2</span></td>-    <td><span class="confinterval citime">1.808260369159567e-2</span></td>+    <td><span class="confinterval citime">1.8353393095660316e-2</span></td>+    <td><span class="time">1.8592965281378555e-2</span></td>+    <td><span class="confinterval citime">1.8854385608461005e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.7003447632050164e-4</span></td>-    <td><span class="time">4.3620364011790386e-4</span></td>-    <td><span class="confinterval citime">5.389477858021622e-4</span></td>+    <td><span class="confinterval citime">4.905290524957243e-4</span></td>+    <td><span class="time">6.002411348437584e-4</span></td>+    <td><span class="confinterval citime">7.889004841042409e-4</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">4.158790170132314e-2</span>%)+     (<span class="percent">8.527715398147008e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b16">delete/HashMap.Strict</a></h2>@@ -1219,22 +1219,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">6.564812154217825e-2</span></td>-    <td><span class="time">6.996261943265925e-2</span></td>-    <td><span class="confinterval citime">7.454172138274426e-2</span></td>+    <td><span class="confinterval citime">6.657259152672139e-2</span></td>+    <td><span class="time">6.880135554728915e-2</span></td>+    <td><span class="confinterval citime">7.184987411789664e-2</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">4.813357130653396e-3</span></td>-    <td><span class="time">7.819464531132397e-3</span></td>-    <td><span class="confinterval citime">1.2066551604678682e-2</span></td>+    <td><span class="confinterval citime">2.910503358264081e-3</span></td>+    <td><span class="time">4.35907675998751e-3</span></td>+    <td><span class="confinterval citime">6.886786435481943e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.3486000959853333</span>%)+     (<span class="percent">0.17012030837842088</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b17">delete/LinkedHashMap.Seq</a></h2>@@ -1277,22 +1277,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.31174286131219</span></td>-    <td><span class="time">0.32376926768186787</span></td>-    <td><span class="confinterval citime">0.33100393725365035</span></td>+    <td><span class="confinterval citime">0.3088634549358604</span></td>+    <td><span class="time">0.312881759024926</span></td>+    <td><span class="confinterval citime">0.31803884141788674</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.566456097511906e-3</span></td>-    <td><span class="time">1.202011762004601e-2</span></td>-    <td><span class="confinterval citime">1.6707753699066505e-2</span></td>+    <td><span class="confinterval citime">8.651382806075028e-4</span></td>+    <td><span class="time">5.108554903587085e-3</span></td>+    <td><span class="confinterval citime">7.063215807089006e-3</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.16</span>%)+     (<span class="percent">0.15999999999999998</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b18">delete/LinkedHashMap.IntMap</a></h2>@@ -1335,22 +1335,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.3032040686980184</span></td>-    <td><span class="time">0.3120361126816615</span></td>-    <td><span class="confinterval citime">0.32156761120577176</span></td>+    <td><span class="confinterval citime">0.29083887617878446</span></td>+    <td><span class="time">0.3197353696833014</span></td>+    <td><span class="confinterval citime">0.3428401871998568</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">4.8044378714013625e-3</span></td>-    <td><span class="time">1.1486830727845178e-2</span></td>-    <td><span class="confinterval citime">1.4849044889087004e-2</span></td>+    <td><span class="confinterval citime">1.731677156351609e-2</span></td>+    <td><span class="time">3.0840905315095434e-2</span></td>+    <td><span class="confinterval citime">4.202518238869635e-2</span></td>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.16</span>%)+     (<span class="percent">0.1865650164292625</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b19">delete/LinkedHashSet</a></h2>@@ -1393,15 +1393,15 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.32236446230697285</span></td>-    <td><span class="time">0.3298588115774167</span></td>-    <td><span class="confinterval citime">0.3340062524635349</span></td>+    <td><span class="confinterval citime">0.31055797004782754</span></td>+    <td><span class="time">0.3163024372206242</span></td>+    <td><span class="confinterval citime">0.32054798234246284</span></td>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.8487506216196886e-3</span></td>-    <td><span class="time">7.187402823015662e-3</span></td>-    <td><span class="confinterval citime">9.578104448193504e-3</span></td>+    <td><span class="confinterval citime">3.120241838309029e-3</span></td>+    <td><span class="time">6.005503526427491e-3</span></td>+    <td><span class="confinterval citime">7.690315050020456e-3</span></td>    </tr>   </tbody>  </table>@@ -1590,12 +1590,12 @@       $.addTooltip("#cycles" + number, function(x,y) { return x + ' cycles'; });     }   };-  var reports = 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  reports.map(mangulate);    var benches = ["fromList/HashMap.Strict","fromList/LinkedHashMap.Seq","fromList/LinkedHashMap.IntMap","fromList/LinkedHashSet","insert/HashMap.Strict","insert/LinkedHashMap.Seq","insert/LinkedHashMap.IntMap","insert/LinkedHashSet","toList/HashMap.Strict","toList/LinkedHashMap.Seq","toList/LinkedHashMap.IntMap","toList/LinkedHashSet","lookup/HashMap.Strict","lookup/LinkedHashMap.Seq","lookup/LinkedHashMap.IntMap","lookup/LinkedHashSet","delete/HashMap.Strict","delete/LinkedHashMap.Seq","delete/LinkedHashMap.IntMap","delete/LinkedHashSet",];   var ylabels = [[-0,'<a href="#b0">fromList/HashMap.Strict</a>'],[-1,'<a href="#b1">fromList/LinkedHashMap.Seq</a>'],[-2,'<a href="#b2">fromList/LinkedHashMap.IntMap</a>'],[-3,'<a href="#b3">fromList/LinkedHashSet</a>'],[-4,'<a href="#b4">insert/HashMap.Strict</a>'],[-5,'<a href="#b5">insert/LinkedHashMap.Seq</a>'],[-6,'<a href="#b6">insert/LinkedHashMap.IntMap</a>'],[-7,'<a href="#b7">insert/LinkedHashSet</a>'],[-8,'<a href="#b8">toList/HashMap.Strict</a>'],[-9,'<a href="#b9">toList/LinkedHashMap.Seq</a>'],[-10,'<a href="#b10">toList/LinkedHashMap.IntMap</a>'],[-11,'<a href="#b11">toList/LinkedHashSet</a>'],[-12,'<a href="#b12">lookup/HashMap.Strict</a>'],[-13,'<a href="#b13">lookup/LinkedHashMap.Seq</a>'],[-14,'<a href="#b14">lookup/LinkedHashMap.IntMap</a>'],[-15,'<a href="#b15">lookup/LinkedHashSet</a>'],[-16,'<a href="#b16">delete/HashMap.Strict</a>'],[-17,'<a href="#b17">delete/LinkedHashMap.Seq</a>'],[-18,'<a href="#b18">delete/LinkedHashMap.IntMap</a>'],[-19,'<a href="#b19">delete/LinkedHashSet</a>'],];-  var means = $.scaleTimes([5.9465569626123836e-2,0.10741278217800422,0.14398421525034588,0.11302955501645821,9.805565911400033e-2,0.20345971933705315,0.14934753241199314,0.18105530125365907,1.1313557825852036e-2,7.712936779412751e-3,5.8983559099956145e-3,8.499252838938794e-3,2.5099465869095842e-2,3.1670726626938255e-2,3.324609867908928e-2,1.7907792508456342e-2,6.996261943265925e-2,0.32376926768186787,0.3120361126816615,0.3298588115774167,]);+  var means = $.scaleTimes([5.5306861611212614e-2,0.11365900137786449,0.13991178703941676,0.11112111195283281,9.564038285186564e-2,0.13214900029892288,0.1408451551438188,0.12276720309503271,1.1564078052990583e-2,1.0264724493343624e-2,6.455850815980168e-3,6.573212020409705e-3,2.504179551543866e-2,3.093286253272737e-2,3.488420362072054e-2,1.8592965281378555e-2,6.880135554728915e-2,0.312881759024926,0.3197353696833014,0.3163024372206242,]);   var xs = [];   var prev = null;   for (var i = 0; i < means[0].length; i++) {

@@ -2,7 +2,7 @@ -- documentation, see http://haskell.org/cabal/users-guide/  name:                linkedhashmap-version:             0.2.0.0+version:             0.3.0.0 license:             BSD3 license-file:        LICENSE author:              Andrey Basko@@ -22,7 +22,7 @@   .   Two different implementations are based on Data.Sequence and Data.IntMap.Strict to keep keys in the order of insertion.   .-  Criterion report: <https://cdn.rawgit.com/abasko/linkedhashmap/master/benchmarks/report.html>+  Criterion report: <https://cdn.rawgit.com/abasko/linkedhashmap/68de7332e80db673e024906321ad2e14c2baa4d1/benchmarks/report.html>  extra-source-files:   README.md

@@ -1,5 +1,5 @@ {-# LANGUAGE BangPatterns #-}-module Data.LinkedHashMap.IntMap +module Data.LinkedHashMap.IntMap     (      LinkedHashMap(..) @@ -67,9 +67,9 @@ import qualified Data.HashMap.Strict as M import qualified Data.IntMap.Strict as IM -newtype Entry a = Entry { unEntry :: (Int, a) } deriving (Show)+data Entry a = Entry {-# UNPACK #-}!Int a deriving (Show) -data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (IM.IntMap (k, v)) Int+data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (IM.IntMap (k, v)) {-# UNPACK #-}!Int  instance (Show k, Show v) => Show (LinkedHashMap k v) where     showsPrec d m@(LinkedHashMap _ _ _) = showParen (d > 10) $@@ -79,7 +79,7 @@ -- or 'Nothing' if this map contains no mapping for the key. lookup :: (Eq k, Hashable k) => k -> LinkedHashMap k v -> Maybe v lookup k0 (LinkedHashMap m0 _ _) = case M.lookup k0 m0 of-                                     Just (Entry (_, v)) -> Just v+                                     Just (Entry _ v) -> Just v                                      Nothing -> Nothing {-# INLINABLE lookup #-} @@ -106,7 +106,7 @@ delete :: (Eq k, Hashable k) => k -> LinkedHashMap k v -> LinkedHashMap k v delete k0 (LinkedHashMap m s maxn) = LinkedHashMap (M.delete k0 m) (case M.lookup k0 m of                                                                       Nothing -> s-                                                                      Just (Entry (i, _)) -> IM.delete i s) maxn+                                                                      Just (Entry i _) -> IM.delete i s) maxn  -- | /O(1)/ Construct an empty map. empty :: LinkedHashMap k v@@ -162,10 +162,10 @@ insert :: (Eq k, Hashable k) => k -> v -> LinkedHashMap k v -> LinkedHashMap k v insert k v (LinkedHashMap m s maxn) = s' `seq` LinkedHashMap m' s' maxn'   where -    m' = M.insert k (Entry (n', v)) m+    m' = M.insert k (Entry n' v) m     s' = IM.insert n' (k, v) s     (n', maxn') = case M.lookup k m of-                    Just (Entry (n, _)) -> (n, maxn)+                    Just (Entry n _) -> (n, maxn)                     Nothing -> let newn = maxn + 1 in (newn, newn) {-# INLINABLE insert #-} @@ -179,10 +179,10 @@ insertWith :: (Eq k, Hashable k) => (v -> v -> v) -> k -> v -> LinkedHashMap k v -> LinkedHashMap k v insertWith f k v0 (LinkedHashMap m s maxn) = s' `seq` LinkedHashMap m' s' maxn'   where-    m' = M.insert k (Entry (n', v')) m+    m' = M.insert k (Entry n' v') m     s' = IM.insert n' (k, v') s     (n', v', maxn') = case M.lookup k m of-                        Just (Entry (n, v)) -> (n, f v0 v, maxn)+                        Just (Entry n v) -> (n, f v0 v, maxn)                         Nothing -> let newn = maxn + 1 in (newn, v0, newn)  -- | /O(log n)/ Adjust the value tied to a given key in this map only@@ -191,9 +191,9 @@ adjust f k (LinkedHashMap m s maxn) = LinkedHashMap m' s' maxn   where     m' = M.adjust f' k m-    f' (Entry (ix, v)) = Entry (ix, f v)+    f' (Entry ix v) = Entry ix $ f v     s' = case M.lookup k m' of-           Just (Entry (ix, v)) -> IM.insert ix (k, v) s+           Just (Entry ix v) -> IM.insert ix (k, v) s            Nothing -> s  -- | /O(m*log n)/ The union of two maps, n - size of the first map. If a key occurs in both maps,@@ -226,7 +226,7 @@   where     m' = M.mapWithKey f' m     s' = fmap f'' s-    f' k (Entry (ix, v1)) = Entry (ix, f k v1)+    f' k (Entry ix v1) = Entry ix $ f k v1     f'' (k, v1) = (k, f k v1)  -- | /O(n*log(n))/ Transform this map by accumulating an Applicative result@@ -237,7 +237,7 @@   where     s' = T.traverse f' s0     f' (k, v1) = (\v -> (k, v)) <$> f k v1-    getV2 s (Entry (ix, _)) = let (_, v2) = fromJust $ IM.lookup ix s in Entry (ix, v2)+    getV2 s (Entry ix _) = let (_, v2) = fromJust $ IM.lookup ix s in Entry ix v2 {-# INLINE traverseWithKey #-}  -- | /O(n*log m)/ Difference of two maps. Return elements of the first map@@ -326,7 +326,7 @@ {-# INLINE fromListWith #-}  instance (NFData a) => NFData (Entry a) where-    rnf (Entry a) = rnf a+    rnf (Entry _ a) = rnf a  instance (NFData k, NFData v) => NFData (LinkedHashMap k v) where     rnf (LinkedHashMap m s _) = rnf m `seq` rnf s

@@ -70,10 +70,11 @@ import qualified Data.List as L import qualified Data.HashMap.Strict as M -newtype Entry a = Entry { unEntry :: (Int, a) } deriving (Show)+data Entry a = Entry {-# UNPACK #-}!Int a deriving (Show)+data MaybePair k v = NothingPair | JustPair k v deriving (Show)  -- Contains HashMap, ordered keys Seq and number of not deleted keys in a sequence (size of HashMap)-data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (Seq (Maybe (k, v))) !Int+data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (Seq (MaybePair k v)) {-# UNPACK #-}!Int  instance (Show k, Show v) => Show (LinkedHashMap k v) where     showsPrec d m@(LinkedHashMap _ _ _) = showParen (d > 10) $@@ -83,7 +84,7 @@ -- or 'Nothing' if this map contains no mapping for the key. lookup :: (Eq k, Hashable k) => k -> LinkedHashMap k v -> Maybe v lookup k0 (LinkedHashMap m0 _ _) = case M.lookup k0 m0 of-                                     Just (Entry (_, v)) -> Just v+                                     Just (Entry _ v) -> Just v                                      Nothing -> Nothing {-# INLINABLE lookup #-} @@ -99,23 +100,23 @@ fromList :: (Eq k, Hashable k) => [(k, v)] -> LinkedHashMap k v fromList ps = LinkedHashMap m' s' len'   where-    m0 = M.fromList $ L.map (\(i, (k, v)) -> (k, Entry (i, v))) $ zip [0..] ps-    s0 = S.fromList $ L.map (\(k, v) -> Just (k, v)) ps+    m0 = M.fromList $ L.map (\(i, (k, v)) -> (k, Entry i v)) $ zip [0..] ps+    s0 = S.fromList $ L.map (\(k, v) -> JustPair k v) ps     len = M.size m0     (m', s', len') = if len == S.length s0                      then (m0, s0, len)                      else F.foldl' skipDups (m0, S.empty, 0) s0-    skipDups (m, s, n) jkv@(Just (k, _)) +    skipDups (m, s, n) jkv@(JustPair k _)        | n == ix = (m, s |> jkv, n + 1)       | n > ix = (m, s, n)-      | otherwise = (M.insert k (Entry (n, v)) m, s |> Just (k, v), n + 1)+      | otherwise = (M.insert k (Entry n v) m, s |> JustPair k v, n + 1)       where -        (ix, v) = unEntry $ fromJust $ M.lookup k m+        Entry ix v = fromJust $ M.lookup k m     skipDups _ _ = error "Data.LinkedHashMap.Seq invariant violated"  -- | /O(n)/ Return a list of this map's elements.  The list is produced lazily. toList ::LinkedHashMap k v -> [(k, v)]-toList (LinkedHashMap _ s _) = catMaybes (F.toList s)+toList (LinkedHashMap _ s _) = [(k, v) | JustPair k v <- F.toList s]  {-# INLINABLE toList #-}  -- | /O(log n)/ Associate the specified value with the specified@@ -124,10 +125,10 @@ insert :: (Eq k, Hashable k) => k -> v -> LinkedHashMap k v -> LinkedHashMap k v insert k !v (LinkedHashMap m s n) = LinkedHashMap m' s' n'   where -    m' = M.insert k (Entry (ix', v)) m+    m' = M.insert k (Entry ix' v) m     (s', ix', n') = case M.lookup k m of-                      Just (Entry (ix, _)) -> (s, ix, n)-                      Nothing -> (s |> Just (k, v), S.length s, n+1)+                      Just (Entry ix _) -> (s, ix, n)+                      Nothing -> (s |> JustPair k v, S.length s, n+1) {-# INLINABLE insert #-}  pack :: (Eq k, Hashable k) => LinkedHashMap k v -> LinkedHashMap k v@@ -143,7 +144,7 @@     lhm = LinkedHashMap m' s' n'     (m', s', n') = case M.lookup k0 m of                      Nothing -> (m, s, n)-                     Just (Entry (i, _)) -> (M.delete k0 m, S.update i Nothing s, n-1)+                     Just (Entry i _) -> (M.delete k0 m, S.update i NothingPair s, n-1)                                             -- | /O(1)/ Construct an empty map. empty :: LinkedHashMap k v@@ -210,13 +211,13 @@ insertWith f k v (LinkedHashMap m s n) = LinkedHashMap m' s' n'   where     m' = M.insertWith f' k v' m-    f' (Entry (_, v1)) (Entry (ix, v2)) = Entry (ix, f v1 v2)+    f' (Entry _ v1) (Entry ix v2) = Entry ix $ f v1 v2     slen = S.length s-    v' = Entry (slen, v)-    (ixnew, vnew) = unEntry $ fromJust $ M.lookup k m'+    v' = Entry slen v+    Entry ixnew vnew = fromJust $ M.lookup k m'     (s', n') = if ixnew == slen -               then (s |> Just (k, vnew), n + 1)-               else (S.update ixnew (Just (k, vnew)) s, n)+               then (s |> JustPair k vnew, n + 1)+               else (S.update ixnew (JustPair k vnew) s, n)  -- | /O(log n)/ Adjust the value tied to a given key in this map only -- if it is present. Otherwise, leave the map alone.@@ -224,9 +225,9 @@ adjust f k (LinkedHashMap m s n) = LinkedHashMap m' s' n   where     m' = M.adjust f' k m-    f' (Entry (ix, v)) = Entry (ix, f v)+    f' (Entry ix v) = Entry ix $ f v     s' = case M.lookup k m' of-           Just (Entry (ix, v)) -> S.update ix (Just (k, v)) s+           Just (Entry ix v) -> S.update ix (JustPair k v) s            Nothing -> s  -- | /O(m*log n)/ The union of two maps, n - size of the first map. If a key occurs in both maps,@@ -259,9 +260,9 @@   where     m' = M.mapWithKey f' m     s' = fmap f'' s-    f' k (Entry (ix, v1)) = Entry (ix, f k v1)-    f'' (Just (k, v1)) = Just (k, f k v1)-    f'' _  = Nothing+    f' k (Entry ix v1) = Entry ix $ f k v1+    f'' (JustPair k v1) = JustPair k $ f k v1+    f'' _  = NothingPair  -- | /O(n*log(n))/ Transform this map by accumulating an Applicative result -- from every value.@@ -270,9 +271,10 @@ traverseWithKey f (LinkedHashMap m0 s0 n) = (\s -> LinkedHashMap (M.map (getV2 s) m0) s n) <$> s'   where     s' = T.traverse f' s0-    f' (Just (k, v1)) = (\v -> Just (k, v)) <$> f k v1-    f' Nothing = pure Nothing-    getV2 s (Entry (ix, _)) = let (_, v2) = fromJust $ S.index s ix in Entry (ix, v2)+    f' (JustPair k v1) = (\v -> JustPair k v) <$> f k v1+    f' NothingPair = pure NothingPair+    getV2 s (Entry ix _) = let JustPair _ v2 = S.index s ix in Entry ix v2+ {-# INLINE traverseWithKey #-}  -- | /O(n*log m)/ Difference of two maps. Return elements of the first map@@ -315,7 +317,7 @@ foldl' :: (a -> v -> a) -> a -> LinkedHashMap k v -> a foldl' f b0 (LinkedHashMap _ s _) = F.foldl' f' b0 s   where-    f' b (Just (_, v)) = f b v+    f' b (JustPair _ v) = f b v     f' b _ = b  -- | /O(n)/ Reduce this map by applying a binary operator to all@@ -333,7 +335,7 @@ foldlWithKey' :: (a -> k -> v -> a) -> a -> LinkedHashMap k v -> a foldlWithKey' f b0 (LinkedHashMap _ s _) = F.foldl' f' b0 s   where-    f' b (Just (k, v)) = f b k v+    f' b (JustPair k v) = f b k v     f' b _ = b  -- | /O(n)/ Reduce this map by applying a binary operator to all@@ -342,7 +344,7 @@ foldrWithKey :: (k -> v -> a -> a) -> a -> LinkedHashMap k v -> a foldrWithKey f b0 (LinkedHashMap _ s _) = F.foldr f' b0 s   where-    f' (Just (k, v)) b = f k v b+    f' (JustPair k v) b = f k v b     f' _ b = b  -- | /O(n*log(n))/ Filter this map by retaining only elements satisfying a@@ -357,8 +359,12 @@ {-# INLINE filter #-}  instance (NFData a) => NFData (Entry a) where-    rnf (Entry a) = rnf a+    rnf (Entry _ a) = rnf a +instance (NFData a, NFData b) => NFData (MaybePair a b) where+    rnf (JustPair a b) = rnf a `seq` rnf b+    rnf NothingPair = ()+ instance (NFData k, NFData v) => NFData (LinkedHashMap k v) where     rnf (LinkedHashMap m s _) = rnf m `seq` rnf s @@ -368,7 +374,7 @@ instance F.Foldable (LinkedHashMap k) where     foldr f b0 (LinkedHashMap _ s _) = F.foldr f' b0 s       where-        f' (Just (_, v)) b = f v b+        f' (JustPair _ v) b = f v b         f' _ b = b          instance T.Traversable (LinkedHashMap k) where