linkedhashmap 0.1.1.0 → 0.2.0.0

raw patch · 4 files changed

+171/−184 lines, 4 filesPVP ok

version bump matches the API change (PVP)

API changes (from Hackage documentation)

Files

• benchmarks/report.html +150/−150
• linkedhashmap.cabal +5/−1
• src/Data/LinkedHashMap/IntMap.hs +16/−30
• src/Data/LinkedHashMap/Seq.hs +0/−3

@@ -291,22 +291,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">2.412648800634957e-2</span></td>-    <td><span class="time">2.4483191034136542e-2</span></td>-    <td><span class="confinterval citime">2.4894721755854433e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.974565008725139e-4</span></td>-    <td><span class="time">8.328277308264194e-4</span></td>-    <td><span class="confinterval citime">1.3162301534044244e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">9.738826053603968e-2</span>%)+     (<span class="percent">7.638888888888887e-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">0.1534213999729655</span></td>-    <td><span class="time">0.1747344616325263</span></td>-    <td><span class="confinterval citime">0.19318632467569455</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.830940818773069e-2</span></td>-    <td><span class="time">2.6927063462579878e-2</span></td>-    <td><span class="confinterval citime">3.53073842525747e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have moderate-     (<span class="percent">0.4725850202791134</span>%)+   <p>Outlying measurements have slight+     (<span class="percent">9.876543209876543e-2</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">0.44046598735917436</span></td>-    <td><span class="time">0.44884157807369723</span></td>-    <td><span class="confinterval citime">0.4569196548598263</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">1.3741233431720462e-2</span></td>-    <td><span class="confinterval citime">1.3991639421018238e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.1875</span>%)+     (<span class="percent">0.12244897959183672</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">0.17482854887163338</span></td>-    <td><span class="time">0.1902273143988065</span></td>-    <td><span class="confinterval citime">0.1996660158334313</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">1.0316342582011275e-2</span></td>-    <td><span class="time">1.6096568751426992e-2</span></td>-    <td><span class="confinterval citime">2.0485856334169345e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.15656378164571164</span>%)+     (<span class="percent">0.10937500000000001</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">7.081685608369317e-2</span></td>-    <td><span class="time">7.786839635111972e-2</span></td>-    <td><span class="confinterval citime">8.245090163491764e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.217212214837219e-3</span></td>-    <td><span class="time">8.947780516275332e-3</span></td>-    <td><span class="confinterval citime">1.327769773438149e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have moderate-     (<span class="percent">0.38106645984391546</span>%)+   <p>Outlying measurements have slight+     (<span class="percent">9.876543209876543e-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">0.6276725811442991</span></td>-    <td><span class="time">0.6299008889970471</span></td>-    <td><span class="confinterval citime">0.6317383521542661</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">2.9038944722208217e-3</span></td>-    <td><span class="confinterval citime">3.1825795453392907e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.1875</span>%)+     (<span class="percent">0.13888888888888867</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b6">insert/LinkedHashMap.IntMap</a></h2>@@ -639,22 +639,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.41154342948629935</span></td>-    <td><span class="time">0.43711719802339005</span></td>-    <td><span class="confinterval citime">0.45614781110217767</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">2.9006388485886495e-2</span></td>-    <td><span class="confinterval citime">3.296198875164503e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.1945567702837197</span>%)+     (<span class="percent">0.12244897959183673</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b7">insert/LinkedHashSet</a></h2>@@ -697,22 +697,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.7192818818632519</span></td>-    <td><span class="time">0.7225154152454741</span></td>-    <td><span class="confinterval citime">0.724302665866059</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">2.846644785065061e-3</span></td>-    <td><span class="confinterval citime">3.0956088807120494e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.1875</span>%)+     (<span class="percent">0.13888888888888876</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">4.739900467123115e-3</span></td>-    <td><span class="time">4.754439150983831e-3</span></td>-    <td><span class="confinterval citime">4.7716939619166345e-3</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.8809242432882757e-5</span></td>-    <td><span class="time">5.004256956662484e-5</span></td>-    <td><span class="confinterval citime">6.38833646060042e-5</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">2.3242630385487528e-2</span>%)+   <p>Outlying measurements have moderate+     (<span class="percent">0.39915408748273007</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">6.203517981313218e-3</span></td>-    <td><span class="time">6.229740957598831e-3</span></td>-    <td><span class="confinterval citime">6.267297717580343e-3</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">6.75585645057132e-5</span></td>-    <td><span class="time">9.248787065511906e-5</span></td>-    <td><span class="confinterval citime">1.443291738870905e-4</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">2.629656683710734e-2</span>%)+   <p>Outlying measurements have severe+     (<span class="percent">0.8135853625809822</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">4.378809973242944e-3</span></td>-    <td><span class="time">4.3916669560981865e-3</span></td>-    <td><span class="confinterval citime">4.412629062580165e-3</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.7395762030671884e-5</span></td>-    <td><span class="time">5.1252968906191644e-5</span></td>-    <td><span class="confinterval citime">6.846216776756695e-5</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">2.271498107084911e-2</span>%)+   <p>Outlying measurements have severe+     (<span class="percent">0.9186261885277799</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">2.3486580240643082e-2</span></td>-    <td><span class="time">2.40099591588223e-2</span></td>-    <td><span class="confinterval citime">2.4468714534031544e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">9.149215593440743e-4</span></td>-    <td><span class="time">1.0933749701844172e-3</span></td>-    <td><span class="confinterval citime">1.2850544881348141e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have moderate-     (<span class="percent">0.14800815149402494</span>%)+   <p>Outlying measurements have severe+     (<span class="percent">0.9341495406611672</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">4.5375915251825834e-2</span></td>-    <td><span class="time">4.5627379312661476e-2</span></td>-    <td><span class="confinterval citime">4.6042851120592254e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">3.97061966901405e-4</span></td>-    <td><span class="time">5.944508584768441e-4</span></td>-    <td><span class="confinterval citime">7.600391957398097e-4</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">6.632653061224489e-2</span>%)+     (<span class="percent">4.986149584487534e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b13">lookup/LinkedHashMap.Seq</a></h2>@@ -1045,22 +1045,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">9.756404216201929e-2</span></td>-    <td><span class="time">9.830584251050156e-2</span></td>-    <td><span class="confinterval citime">9.880067970935094e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.641929049369217e-4</span></td>-    <td><span class="time">8.984144454276187e-4</span></td>-    <td><span class="confinterval citime">1.380279968688867e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">9.87654320987653e-2</span>%)+     (<span class="percent">5.536332179930796e-2</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b14">lookup/LinkedHashMap.IntMap</a></h2>@@ -1103,22 +1103,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">9.614710129666534e-2</span></td>-    <td><span class="time">9.674579019020521e-2</span></td>-    <td><span class="confinterval citime">9.760639813541648e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">7.860487032418642e-4</span></td>-    <td><span class="time">1.083145982630007e-3</span></td>-    <td><span class="confinterval citime">1.497649354424678e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have slight-     (<span class="percent">9.876543209876543e-2</span>%)+     (<span class="percent">5.859375e-2</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">0.13197397477330355</span></td>-    <td><span class="time">0.1326362211377632</span></td>-    <td><span class="confinterval citime">0.13396622275669196</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.698191064928849e-4</span></td>-    <td><span class="time">1.3759915097588812e-3</span></td>-    <td><span class="confinterval citime">2.079366445851779e-3</span></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>    </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">4.158790170132314e-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">5.240555175744418e-2</span></td>-    <td><span class="time">5.283568718037974e-2</span></td>-    <td><span class="confinterval citime">5.3199642865652506e-2</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">5.826850456990582e-4</span></td>-    <td><span class="time">7.523974935309557e-4</span></td>-    <td><span class="confinterval citime">9.42933159555392e-4</span></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>    </tr>   </tbody>  </table>   <span class="outliers">-   <p>Outlying measurements have slight-     (<span class="percent">7.100591715976314e-2</span>%)+   <p>Outlying measurements have moderate+     (<span class="percent">0.3486000959853333</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">0.6540663953612682</span></td>-    <td><span class="time">0.6738188573569394</span></td>-    <td><span class="confinterval citime">0.6912871713142907</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">2.8484685870575382e-2</span></td>-    <td><span class="confinterval citime">3.0256007296697144e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.18749999999999997</span>%)+     (<span class="percent">0.16</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">0.452512810615416</span></td>-    <td><span class="time">0.459547457216936</span></td>-    <td><span class="confinterval citime">0.4649249674196938</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">8.261800493807954e-3</span></td>-    <td><span class="confinterval citime">9.31412088939653e-3</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.1875</span>%)+     (<span class="percent">0.16</span>%)      effect on estimated standard deviation.</p>  </span> <h2><a name="b19">delete/LinkedHashSet</a></h2>@@ -1393,22 +1393,22 @@    </tr>    <tr>     <td>Mean execution time</td>-    <td><span class="confinterval citime">0.7485480433581403</span></td>-    <td><span class="time">0.7769275967427282</span></td>-    <td><span class="confinterval citime">0.801340668195834</span></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>    </tr>    <tr>     <td>Standard deviation</td>-    <td><span class="confinterval citime">0.0</span></td>-    <td><span class="time">3.930255830896414e-2</span></td>-    <td><span class="confinterval citime">4.2284680125588836e-2</span></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>    </tr>   </tbody>  </table>   <span class="outliers">    <p>Outlying measurements have moderate-     (<span class="percent">0.18749999999999997</span>%)+     (<span class="percent">0.16</span>%)      effect on estimated standard deviation.</p>  </span> @@ -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([2.4483191034136542e-2,0.1747344616325263,0.44884157807369723,0.1902273143988065,7.786839635111972e-2,0.6299008889970471,0.43711719802339005,0.7225154152454741,4.754439150983831e-3,6.229740957598831e-3,4.3916669560981865e-3,2.40099591588223e-2,4.5627379312661476e-2,9.830584251050156e-2,9.674579019020521e-2,0.1326362211377632,5.283568718037974e-2,0.6738188573569394,0.459547457216936,0.7769275967427282,]);+  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 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:             0.1.1.0+version:             0.2.0.0 license:             BSD3 license-file:        LICENSE author:              Andrey Basko@@ -80,3 +80,7 @@                      , criterion >= 1.0.2.0                      , deepseq >=1.3 && <1.4   default-language:    Haskell2010+  ghc-options:      -O2+                    -fmax-simplifier-iterations=10+                    -fdicts-cheap+                    -fspec-constr-count=6

@@ -58,8 +58,6 @@  import Prelude hiding (foldr, map, null, lookup, filter) import Data.Maybe-import Data.IORef-import System.IO.Unsafe import Data.Hashable (Hashable) import Control.DeepSeq (NFData(rnf)) import Control.Applicative ((<$>), Applicative)@@ -71,24 +69,12 @@  newtype Entry a = Entry { unEntry :: (Int, a) } deriving (Show) -instance Eq a => Eq (Entry a) where-    (Entry (_, a)) == (Entry (_, b)) = a == b--data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (IM.IntMap (k, v)) (IORef Int)+data LinkedHashMap k v = LinkedHashMap (M.HashMap k (Entry v)) (IM.IntMap (k, v)) Int  instance (Show k, Show v) => Show (LinkedHashMap k v) where     showsPrec d m@(LinkedHashMap _ _ _) = showParen (d > 10) $       showString "fromList " . shows (toList m) -newCounter :: Int -> IORef Int-newCounter n = unsafePerformIO (newIORef n)--getCounter :: IORef Int -> Int-getCounter rn = unsafePerformIO $ readIORef rn--incCounter :: IORef Int -> Int-incCounter rn = unsafePerformIO $ atomicModifyIORef rn $ \n -> (n + 1, n + 1)- -- | /O(log n)/ Return the value to which the specified key is mapped, -- or 'Nothing' if this map contains no mapping for the key. lookup :: (Eq k, Hashable k) => k -> LinkedHashMap k v -> Maybe v@@ -118,13 +104,13 @@ -- | /O(log n)/ Remove the mapping for the specified key from this map -- if present. delete :: (Eq k, Hashable k) => k -> LinkedHashMap k v -> LinkedHashMap k v-delete k0 (LinkedHashMap m s rn) = LinkedHashMap (M.delete k0 m) (case M.lookup k0 m of-                                                                    Nothing -> s-                                                                    Just (Entry (i, _)) -> IM.delete i s) rn+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  -- | /O(1)/ Construct an empty map. empty :: LinkedHashMap k v-empty = LinkedHashMap M.empty IM.empty (newCounter minBound)+empty = LinkedHashMap M.empty IM.empty minBound  -- | /O(1)/ Construct a map with a single element. singleton :: (Eq k, Hashable k) => k -> v -> LinkedHashMap k v@@ -174,13 +160,13 @@ -- key in this map.  If this map previously contained a mapping for -- the key, the old value is replaced. insert :: (Eq k, Hashable k) => k -> v -> LinkedHashMap k v -> LinkedHashMap k v-insert k v (LinkedHashMap m s rn) = s' `seq` LinkedHashMap m' s' rn+insert k v (LinkedHashMap m s maxn) = s' `seq` LinkedHashMap m' s' maxn'   where      m' = M.insert k (Entry (n', v)) m     s' = IM.insert n' (k, v) s-    n' = case M.lookup k m of-          Just (Entry (n, _)) -> n-          Nothing -> incCounter rn+    (n', maxn') = case M.lookup k m of+                    Just (Entry (n, _)) -> (n, maxn)+                    Nothing -> let newn = maxn + 1 in (newn, newn) {-# INLINABLE insert #-}  -- | /O(log n)/ Associate the value with the key in this map.  If@@ -191,18 +177,18 @@ -- > insertWith f k v map -- >   where f new old = new + old insertWith :: (Eq k, Hashable k) => (v -> v -> v) -> k -> v -> LinkedHashMap k v -> LinkedHashMap k v-insertWith f k v0 (LinkedHashMap m s rn) = s' `seq` LinkedHashMap m' s' rn+insertWith f k v0 (LinkedHashMap m s maxn) = s' `seq` LinkedHashMap m' s' maxn'   where     m' = M.insert k (Entry (n', v')) m     s' = IM.insert n' (k, v') s-    (n', v') = case M.lookup k m of-                 Just (Entry (n, v)) -> (n, f v0 v)-                 Nothing -> (incCounter rn, v0)+    (n', v', maxn') = case M.lookup k m of+                        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 -- if it is present. Otherwise, leave the map alone. adjust :: (Eq k, Hashable k) => (v -> v) -> k -> LinkedHashMap k v -> LinkedHashMap k v-adjust f k (LinkedHashMap m s rn) = s' `seq` LinkedHashMap m' s' rn+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)@@ -236,7 +222,7 @@  -- | /O(n)/ Transform this map by applying a function to every value. mapWithKey :: (k -> v1 -> v2) -> LinkedHashMap k v1 -> LinkedHashMap k v2-mapWithKey f (LinkedHashMap m s n) = (LinkedHashMap m' s' n)+mapWithKey f (LinkedHashMap m s maxn) = (LinkedHashMap m' s' maxn)   where     m' = M.mapWithKey f' m     s' = fmap f'' s@@ -247,7 +233,7 @@ -- from every value. traverseWithKey :: Applicative f => (k -> v1 -> f v2) -> LinkedHashMap k v1                 -> f (LinkedHashMap k v2)-traverseWithKey f (LinkedHashMap m0 s0 n) = (\s -> LinkedHashMap (M.map (getV2 s) m0) s n) <$> s'+traverseWithKey f (LinkedHashMap m0 s0 maxn) = (\s -> LinkedHashMap (M.map (getV2 s) m0) s maxn) <$> s'   where     s' = T.traverse f' s0     f' (k, v1) = (\v -> (k, v)) <$> f k v1

@@ -72,9 +72,6 @@  newtype Entry a = Entry { unEntry :: (Int, a) } deriving (Show) -instance Eq a => Eq (Entry a) where-    (Entry (_, a)) == (Entry (_, b)) = a == b- -- 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