tensort 1.0.1.1 → 1.0.1.2
raw patch · 15 files changed
+2607/−54 lines, 15 filesbinary-addedPVP ok
version bump matches the API change (PVP)
API changes (from Hackage documentation)
Files
- CHANGELOG.md +12/−0
- README.md +48/−28
- assets/images/ackley_deps.png binary
- assets/images/deck_shuffle_chart_censored.svg +1096/−0
- assets/images/deck_shuffle_chart_uncensored.svg +1079/−0
- assets/images/mc_confused.png binary
- assets/images/mc_doors.png binary
- data/WonkyComparator/deck_shuffle_errors_comparison_wonky.txt +14/−0
- data/WonkyComparator/large_comparison_wonky.txt +149/−0
- data/WonkyStuckComparator/deck_shuffle_errors_comparison_wonky_stuck.txt +14/−0
- data/WonkyStuckComparator/large_comparison_stuck_wonky.txt +163/−0
- src/Data/Tensort/Utils/Compose.hs +11/−14
- src/Data/Tensort/Utils/Reduce.hs +3/−0
- src/Data/Tensort/Utils/Render.hs +12/−9
- tensort.cabal +6/−3
CHANGELOG.md view
@@ -72,3 +72,15 @@ * Cleanup and improve documentation * Cleanup code a bit++## 1.0.1.1 -- 2024-08-22++* Make all pictures in README viewable on Hackage++## 1.0.1.2 -- 2024-08-22++* Include benchmarking results and README images in package++* Improve flow in README++* Cleanup code and documentation a bit
README.md view
@@ -15,8 +15,10 @@ for improved robustness and can be leveraged to include any further processing we wish to do on the elements. + + <figure>- <img src="https://raw.githubusercontent.com/kaBeech/tensort/b160df72bdd673b37cbf7b8a5b7d0f4d02af9920/assets/images/deck_shuffle_chart_censored.svg"+ <img src="https://raw.githubusercontent.com/kaBeech/tensort/4c498da1cf13a7b45c8eb951fe376b7d36777377/assets/images/deck_shuffle_chart_censored.svg" alt="When sorting a randomly shuffled deck of cards, Quicksort makes 202 positional errors, Mergesort makes 201, Bubblesort makes 4, Tensort makes 51, Mundane Robustsort makes 11, and Magic Robustsort makes@@ -29,6 +31,8 @@ </i></figcaption> </figure> + + ## Table of Contents - [Introduction](#introduction)@@ -36,8 +40,8 @@ - [Why?](#why) - [But why would anyone care about this in the first place?](#but-why-would-anyone-care-about-this-in-the-first-place)- - [Why Haskell?](#why-haskell) - [What's a tensor?](#whats-a-tensor)+ - [Why Haskell?](#why-haskell) - [Project structure](#project-structure) - [Algorithms overview](#algorithms-overview) - [Tensort](#tensort)@@ -123,27 +127,6 @@ efficiency to the detriment of robustness. The rate of our technological progression precludes us from continuing to do so. -### Why Haskell?--1. Tensort can involve a lot of recursion, which Haskell handles well--2. All the other benefits we get from using a purely functional language, such-as strict dependency management, which even the smartest among us sometimes-falter without:--<figure>- <img src="./assets/images/ackley_deps.png"- alt="Comment from Ackley in the Beyond Efficiency code about Perl- updates breaking their code">- <figcaption><i><a href="http://livingcomputation.com/robusort2.tar">- Source- </a></i></figcaption>-</figure>-- --3. [Obviously](https://www.youtube.com/shorts/LGZKXZQeEBg)- ### What's a tensor? If you want an in-depth explanation,@@ -173,6 +156,29 @@ densest possible cluster of short lists. This provides opportunities to add processing tailored to suit the current goals while preserving time efficiency. +### Why Haskell?++1. Tensort can involve a lot of recursion, which Haskell handles well++2. All the other benefits we get from using a purely functional language, such+as strict dependency management, which even the smartest among us sometimes+falter without:++ ++<figure>+ <img src="https://raw.githubusercontent.com/kaBeech/tensort/main/assets/images/ackley_deps.png"+ alt="Comment from Ackley in the Beyond Efficiency code about Perl+ updates breaking their code">+ <figcaption><i><a href="http://livingcomputation.com/robusort2.tar">+ Source+ </a></i></figcaption>+</figure>++ ++3. [Obviously](https://www.youtube.com/shorts/LGZKXZQeEBg)+ ## Project structure - `src/` contains the Tensort library@@ -229,6 +235,8 @@ Alright, let's get started! Ready, Sir Michael? + + <figure> <img src="https://m.media-amazon.com/images/M/MV5BMzU2Nzk5NjA1M15BMl5BanBnXkFtZTYwNjcyNDU2._V1_.jpg" alt="Sir Michael Caine, ready to go!">@@ -503,6 +511,8 @@ But now that we understand Tensort's basic structure, let's tune it for even more robustness! + + <figure> <img src="https://m.media-amazon.com/images/M/MV5BNjk2MTMzNTA4MF5BMl5BanBnXkFtZTcwMTM0OTk1Mw@@._V1_.jpg" alt="Michael Caine sitting at a desk in front of a chalkboard full of@@ -690,7 +700,6 @@ this project while returning something besides [1,3,2] as its third most common result, [I'd love to hear about it](#contact)! - <figure>@@ -817,6 +826,8 @@ Robustsort uses a Bytesize of 3, but we can use a logarithmic Bytesize by adding recursion. + + <figure> <img src="https://m.media-amazon.com/images/M/MV5BZWUzM2NhMTMtM2U0Yy00MmE4LWI2OGItMWQyZjQ3MmRkMGVlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_.jpg" alt="Michael Caine reaching into a cage to gently retrieve a bird. The@@ -828,7 +839,6 @@ </a></i></figcaption> </figure> - Let's take our base Robustsort example above and make it recursive.@@ -869,6 +879,8 @@ with an extremely reliable, theoretically non-deterministic algorithm - one that's so good it's robust against logic itself... + + <figure> <img src="https://raw.githubusercontent.com/kaBeech/tensort/main/assets/images/mc_confused.png" alt="Michael Caine and Mike Meyers looking taken aback">@@ -877,10 +889,8 @@ </a></i></figcaption> </figure> - - ...[Bogosort!](https://www.youtube.com/watch?v=kgBjXUE_Nwc&t=583) Magicsort simply runs both Permutationsort and Bogosort on the same input and@@ -989,13 +999,17 @@ Now let's take a look at how everything compares. Here is a graph showing the benchmarking results for average error score for our algorithms: + + <figure>- <img src="https://raw.githubusercontent.com/kaBeech/tensort/b160df72bdd673b37cbf7b8a5b7d0f4d02af9920/assets/images/deck_shuffle_chart_uncensored.svg"+ <img src="https://raw.githubusercontent.com/kaBeech/tensort/4c498da1cf13a7b45c8eb951fe376b7d36777377/assets/images/deck_shuffle_chart_uncensored.svg" alt="When sorting a randomly shuffled deck of cards, Quicksort makes 202 positional errors, Mergesort makes 201, Bubblesort makes 4, Tensort makes 51, Mundane Robustsort makes 11, and Magic Robustsort makes 1"> </figure> + + As shown above, when sorting a randomly shuffled deck of cards, Quicksort makes 202 positional errors, Mergesort makes 201, Bubblesort makes 4, Logarithmic Tensort makes 51, Basic Mundane Robustsort with Bogosort adjudicator makes 11,@@ -1028,9 +1042,13 @@ RobustsortRM | 0.249211013s | 1824 | ---------------------------------------------------------- + + Well, there it is! I'm pretty happy with the results. What do you think, Sir Michael? + + <figure> <img src="https://raw.githubusercontent.com/kaBeech/tensort/main/assets/images/mc_doors.png" alt="Michael Caine looking upset with Michael Standing">@@ -1038,6 +1056,8 @@ Source </a></i></figcaption> </figure>++ ## Library
+ assets/images/ackley_deps.png view
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+ assets/images/mc_doors.png view
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+ data/WonkyComparator/deck_shuffle_errors_comparison_wonky.txt view
@@ -0,0 +1,14 @@+Average card displacement over 1000 runs for each algorithm on lists of+56 cards (integers) with a card comparator that gives a random result 10% of+the time+==========================================================+Mergesort Errors: 202+Quicksort Errors: 201+Bubblesort Errors: 4+TensortBL Errors: 51+RobustsortP Errors: 15+RobustsortB Errors: 11+RobustsortM Errors: 1+RobustsortRP Errors: 13+RobustsortRB Errors: 8+RobustsortRM Errors: 2
+ data/WonkyComparator/large_comparison_wonky.txt view
@@ -0,0 +1,149 @@+Single run time elapsed and average element displacement+over 100 runs for each algorithm on lists of integers of+length n with an element comparator that gives a random+result 10% of the time+==========================================================+ Algorithm | Time | Score | n = 8+ Mergesort | 0.000031449s | 3 | + Quicksort | 0.000010409s | 3 | + Bubblesort | 0.000031339s | 0 | + TensortBL | 0.000033613s | 1 | + RobustsortP | 0.000045666s | 0 | + RobustsortB | 0.000033643s | 0 | + RobustsortM | 0.000041718s | 0 | + RobustsortRP | 0.000088796s | 0 | + RobustsortRB | 0.000075191s | 0 | + RobustsortRM | 0.000086171s | 0 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 16+ Mergesort | 0.000013054s | 14 | + Quicksort | 0.000009417s | 15 | + Bubblesort | 0.000059402s | 1 | + TensortBL | 0.000055594s | 6 | + RobustsortP | 0.000089748s | 1 | + RobustsortB | 0.00008043s | 0 | + RobustsortM | 0.000100989s | 0 | + RobustsortRP | 0.000203711s | 0 | + RobustsortRB | 0.000197609s | 0 | + RobustsortRM | 0.000211665s | 0 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 32+ Mergesort | 0.000025838s | 64 | + Quicksort | 0.000018825s | 69 | + Bubblesort | 0.000354664s | 2 | + TensortBL | 0.000142116s | 20 | + RobustsortP | 0.000220602s | 4 | + RobustsortB | 0.00019793s | 3 | + RobustsortM | 0.000254476s | 0 | + RobustsortRP | 0.0005989s | 4 | + RobustsortRB | 0.000600803s | 3 | + RobustsortRM | 0.000646549s | 0 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 64+ Mergesort | 0.000055654s | 265 | + Quicksort | 0.000041277s | 300 | + Bubblesort | 0.002297067s | 4 | + TensortBL | 0.000456134s | 59 | + RobustsortP | 0.000551952s | 19 | + RobustsortB | 0.000516175s | 13 | + RobustsortM | 0.000666727s | 4 | + RobustsortRP | 0.002157896s | 16 | + RobustsortRB | 0.002016001s | 13 | + RobustsortRM | 0.002166592s | 2 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 128+ Mergesort | 0.000121037s | 1130 | + Quicksort | 0.000091542s | 1053 | + Bubblesort | 0.016473453s | 11 | + TensortBL | 0.001020198s | 247 | + RobustsortP | 0.001257431s | 95 | + RobustsortB | 0.001325068s | 51 | + RobustsortM | 0.001560928s | 17 | + RobustsortRP | 0.005066665s | 68 | + RobustsortRB | 0.005192839s | 47 | + RobustsortRM | 0.00518222s | 19 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 256+ Mergesort | 0.000270485s | 4666 | + Quicksort | 0.000194895s | 4112 | + Bubblesort | 0.125792888s | 28 | + TensortBL | 0.003069248s | 792 | + RobustsortP | 0.003116046s | 317 | + RobustsortB | 0.003281486s | 241 | + RobustsortM | 0.003792913s | 61 | + RobustsortRP | 0.012978649s | 258 | + RobustsortRB | 0.013403694s | 155 | + RobustsortRM | 0.013466592s | 53 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 512+ Mergesort | 0.000590213s | 19355 | + Quicksort | 0.000441095s | 15842 | + Bubblesort | 1.107719339s | 79 | + TensortBL | 0.008450123s | 2582 | + RobustsortP | 0.006841444s | 1363 | + RobustsortB | 0.007447098s | 865 | + RobustsortM | 0.008897289s | 193 | + RobustsortRP | 0.035905499s | 1138 | + RobustsortRB | 0.037010417s | 876 | + RobustsortRM | 0.039570233s | 160 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 1024+ Mergesort | 0.001287126s | 77637 | + Quicksort | 0.001012112s | 64753 | + Bubblesort | 8.83146598s | 212 | + TensortBL | 0.020115045s | 10193 | + RobustsortP | 0.014715055s | 5788 | + RobustsortB | 0.016441053s | 3976 | + RobustsortM | 0.019110225s | 806 | + RobustsortRP | 0.090961052s | 4484 | + RobustsortRB | 0.091372881s | 3163 | + RobustsortRM | 0.096884486s | 558 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 2048+ Mergesort | 0.002706653s | 319199 | + Quicksort | 0.002206037s | 269252 | + Bubblesort | 67.229769894s | 707 | + TensortBL | 0.056649886s | 34223 | + RobustsortP | 0.036861441s | 21177 | + RobustsortB | 0.038692015s | 18025 | + RobustsortM | 0.046679795s | 3255 | + RobustsortRP | 0.229615609s | 15254 | + RobustsortRB | 0.22648706s | 10147 | + RobustsortRM | 0.249211013s | 1824 | +----------------------------------------------------------+ Note: after this point Bubblesort is omitted from the + results due to its long run time+----------------------------------------------------------+ Algorithm | Time | Score | n = 4096+ Mergesort | 0.006077793s | 1277538 | + Quicksort | 0.005398393s | 1047130 | + TensortBL | 0.159859188s | 123560 | + RobustsortP | 0.084122461s | 87496 | + RobustsortB | 0.087930914s | 68214 | + RobustsortM | 0.105430827s | 12660 | + RobustsortRP | 0.535468964s | 66074 | + RobustsortRB | 0.567415965s | 46761 | + RobustsortRM | 0.616807445s | 5922 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 8192+ Mergesort | 0.013603697s | 5115761 | + Quicksort | 0.012066814s | 4335394 | + TensortBL | 0.484234314s | 457669 | + RobustsortP | 0.215196709s | 359897 | + RobustsortB | 0.224570539s | 276027 | + RobustsortM | 0.261256298s | 52303 | + RobustsortRP | 1.412261999s | 286303 | + RobustsortRB | 1.460227814s | 196659 | + RobustsortRM | 1.570891199s | 25736 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 16384+ Mergesort | 0.030196538s | 20533658 | + Quicksort | 0.029216759s | 17064001 | + TensortBL | 1.012220358s | 1812368 | + RobustsortP | 0.563116432s | 1427610 | + RobustsortB | 0.589861936s | 1090989 | + RobustsortM | 0.664186576s | 200300 | + RobustsortRP | 2.804235108s | 1144749 | + RobustsortRB | 2.927166582s | 782040 | + RobustsortRM | 3.036211048s | 105231 | +----------------------------------------------------------
+ data/WonkyStuckComparator/deck_shuffle_errors_comparison_wonky_stuck.txt view
@@ -0,0 +1,14 @@+Average card displacement over 1000 runs for each algorithm on lists of+56 cards (integers) with a card comparator that gives a random result 10% of+the time and repeats its previous answer 50% of the time+==========================================================+Mergesort Errors: 747+Quicksort Errors: 601+Bubblesort Errors: 97+TensortBL Errors: 451+RobustsortP Errors: 479+RobustsortB Errors: 391+RobustsortM Errors: 311+RobustsortRP Errors: 436+RobustsortRB Errors: 320+RobustsortRM Errors: 292
+ data/WonkyStuckComparator/large_comparison_stuck_wonky.txt view
@@ -0,0 +1,163 @@+Single run time elapsed and average element displacement+over 100 runs for each algorithm on lists of integers of+length n with an element comparator that gives both a +random result 10% of the time and repeats the previous+result 50% of the time.+==========================================================+ Algorithm | Time | Score | n = 8++ Mergesort | 0.000032251s | 14 | + Quicksort | 0.000010649s | 12 | + Bubblesort | 0.000034906s | 6 | + TensortBL | 0.000032702s | 10 | + RobustsortP | 0.000049584s | 8 | + RobustsortB | 0.000051066s | 6 | + RobustsortM | 0.000050816s | 5 | + RobustsortRP | 0.00010599s | 8 | + RobustsortRB | 0.000092084s | 6 | + RobustsortRM | 0.000119836s | 6 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 16++ Mergesort | 0.000012613s | 60 | + Quicksort | 0.000010099s | 47 | + Bubblesort | 0.00006388s | 18 | + TensortBL | 0.000054552s | 54 | + RobustsortP | 0.000112221s | 41 | + RobustsortB | 0.000160473s | 31 | + RobustsortM | 0.000177856s | 29 | + RobustsortRP | 0.000210056s | 43 | + RobustsortRB | 0.000183516s | 31 | + RobustsortRM | 0.000313051s | 28 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 32++ Mergesort | 0.000025257s | 240 | + Quicksort | 0.000021651s | 201 | + Bubblesort | 0.000369287s | 41 | + TensortBL | 0.000168798s | 195 | + RobustsortP | 0.000276081s | 142 | + RobustsortB | 0.000330023s | 117 | + RobustsortM | 0.000390306s | 96 | + RobustsortRP | 0.000711242s | 146 | + RobustsortRB | 0.000704069s | 105 | + RobustsortRM | 0.00082642s | 99 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 64++ Mergesort | 0.000057719s | 971 | + Quicksort | 0.000045095s | 808 | + Bubblesort | 0.002554923s | 117 | + TensortBL | 0.000426495s | 571 | + RobustsortP | 0.00061976s | 654 | + RobustsortB | 0.000808996s | 506 | + RobustsortM | 0.001188904s | 420 | + RobustsortRP | 0.002313266s | 576 | + RobustsortRB | 0.002420409s | 420 | + RobustsortRM | 0.002693795s | 362 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 128++ Mergesort | 0.000138482s | 4062 | + Quicksort | 0.000101882s | 3228 | + Bubblesort | 0.018920403s | 369 | + TensortBL | 0.001005007s | 2207 | + RobustsortP | 0.001521762s | 2818 | + RobustsortB | 0.001873687s | 2305 | + RobustsortM | 0.002396353s | 1808 | + RobustsortRP | 0.005501404s | 2391 | + RobustsortRB | 0.005889857s | 1720 | + RobustsortRM | 0.006245249s | 1420 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 256++ Mergesort | 0.000262726s | 16098 | + Quicksort | 0.00022796s | 12875 | + Bubblesort | 0.140008324s | 1294 | + TensortBL | 0.003059445s | 9378 | + RobustsortP | 0.003879824s | 10793 | + RobustsortB | 0.004592999s | 8992 | + RobustsortM | 0.006356689s | 7220 | + RobustsortRP | 0.01350889s | 10893 | + RobustsortRB | 0.015709562s | 7740 | + RobustsortRM | 0.017035926s | 6305 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 512++ Mergesort | 0.00061964s | 65457 | + Quicksort | 0.000459388s | 51708 | + Bubblesort | 1.470609003s | 5380 | + TensortBL | 0.008260523s | 32057 | + RobustsortP | 0.008339361s | 44974 | + RobustsortB | 0.010348875s | 36285 | + RobustsortM | 0.015314012s | 28404 | + RobustsortRP | 0.038752864s | 41821 | + RobustsortRB | 0.042059256s | 31896 | + RobustsortRM | 0.052783839s | 22845 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 1024++ Mergesort | 0.001331684s | 264525 | + Quicksort | 0.001033171s | 208115 | + Bubblesort | 13.452793768s | 21047 | + TensortBL | 0.019672577s | 116840 | + RobustsortP | 0.017528235s | 192327 | + RobustsortB | 0.022825438s | 158334 | + RobustsortM | 0.031631765s | 122512 | + RobustsortRP | 0.093026058s | 162688 | + RobustsortRB | 0.10967526s | 126694 | + RobustsortRM | 0.131919203s | 90300 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 2048++ Mergesort | 0.002660556s | 1062535 | + Quicksort | 0.002462854s | 840206 | + Bubblesort | 134.773207064s | 87977 | + TensortBL | 0.055963595s | 425961 | + RobustsortP | 0.042348373s | 731536 | + RobustsortB | 0.054674704s | 607912 | + RobustsortM | 0.082333458s | 479960 | + RobustsortRP | 0.237273315s | 626142 | + RobustsortRB | 0.274846319s | 491091 | + RobustsortRM | 0.346625435s | 333622 | ++----------------------------------------------------------+ Note: after this point Bubblesort is omitted from the + results due to its long run time+----------------------------------------------------------+ Algorithm | Time | Score | n = 4096++ Mergesort | 0.005942043s | 4247423 | + Quicksort | 0.005394119s | 3319827 | + TensortBL | 0.153502134s | 1577063 | + RobustsortP | 0.09774953s | 3153973 | + RobustsortB | 0.119230294s | 2552633 | + RobustsortM | 0.173643397s | 1994121 | + RobustsortRP | 0.586039226s | 2687189 | + RobustsortRB | 0.692494727s | 2143171 | + RobustsortRM | 0.880613715s | 1314278 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 8192++ Mergesort | 0.013548986s | 17041462 | + Quicksort | 0.013005352s | 13394776 | + TensortBL | 0.463169809s | 5988182 | + RobustsortP | 0.245367061s | 12007383 | + RobustsortB | 0.302308762s | 9898434 | + RobustsortM | 0.4208429s | 7951725 | + RobustsortRP | 1.531550402s | 10110706 | + RobustsortRB | 1.789757822s | 7809793 | + RobustsortRM | 2.201473668s | 5181672 | +----------------------------------------------------------+ Algorithm | Time | Score | n = 16384++ Mergesort | 0.031012492s | 68160357 | + Quicksort | 0.029349454s | 53301096 | + TensortBL | 0.985868398s | 25078288 | + RobustsortP | 0.615555374s | 50410789 | + RobustsortB | 0.74278552s | 40235803 | + RobustsortM | 1.007819879s | 31488449 | + RobustsortRP | 3.144343233s | 42121317 | + RobustsortRB | 3.549654025s | 31376518 | + RobustsortRM | 4.252823697s | 20608983 | +----------------------------------------------------------
src/Data/Tensort/Utils/Compose.hs view
@@ -1,5 +1,8 @@ -- | Module for creating Tensors from Bytes and Tensors --+-- Functions ending in "B" are for sorting Bits in a base (non-recursive)+-- Tensort variant+-- -- Functions ending in "R" are for sorting Records when used in a recursive -- Tensort variant --@@ -55,12 +58,12 @@ -- STensorsBit [([(0,3),(1,7)],ByteMem [[1,3],[5,7]]),([(0,4),(1,8)],ByteMem [[2,4],[6,8]])] createInitialTensors :: TensortProps -> SBytes -> STensors createInitialTensors tsProps (SBytesBit bytes) =- STensorsBit (createInitialTensorsBits tsProps bytes)+ STensorsBit (createInitialTensorsB tsProps bytes) createInitialTensors tsProps (SBytesRec recs) =- STensorsRec (createInitialTensorsRecs tsProps recs)+ STensorsRec (createInitialTensorsR tsProps recs) -createInitialTensorsBits :: TensortProps -> [Byte] -> [Tensor]-createInitialTensorsBits tsProps bytes =+createInitialTensorsB :: TensortProps -> [Byte] -> [Tensor]+createInitialTensorsB tsProps bytes = foldr acc [] (splitEvery (bytesize tsProps) bytes) where acc :: [Byte] -> [Tensor] -> [Tensor]@@ -70,8 +73,8 @@ (getTensorFromBytes (subAlgorithm tsProps) (SBytesBit byte)) ] -createInitialTensorsRecs :: TensortProps -> [ByteR] -> [TensorR]-createInitialTensorsRecs tsProps bytesR =+createInitialTensorsR :: TensortProps -> [ByteR] -> [TensorR]+createInitialTensorsR tsProps bytesR = foldr acc [] (splitEvery (bytesize tsProps) bytesR) where acc :: [ByteR] -> [TensorR] -> [TensorR]@@ -252,12 +255,6 @@ -- SBitBit 38 getTopBitFromTensorStack :: STensor -> SBit getTopBitFromTensorStack (STensorBit tensor) =- getTopBitFromTensorStackB tensor+ SBitBit (snd (last (fst tensor))) getTopBitFromTensorStack (STensorRec tensorR) =- getTopBitFromTensorStackR tensorR--getTopBitFromTensorStackB :: Tensor -> SBit-getTopBitFromTensorStackB (register, _) = SBitBit (snd (last register))--getTopBitFromTensorStackR :: TensorR -> SBit-getTopBitFromTensorStackR (registerR, _) = SBitRec (snd (last registerR))+ SBitRec (snd (last (fst tensorR)))
src/Data/Tensort/Utils/Reduce.hs view
@@ -1,6 +1,9 @@ -- | This module provides functions to reduce a list of TensorStacks into a -- more compact list of TensorStacks --+-- Functions ending in "B" are for sorting Bits in a base (non-recursive)+-- Tensort variant+-- -- Functions ending in "R" are for sorting Records when used in a recursive -- Tensort variant --
src/Data/Tensort/Utils/Render.hs view
@@ -1,5 +1,8 @@ -- | Module for rendering a sorted list of Bits from a list of TensorStacks --+-- Functions ending in "B" are for sorting Bits in a base (non-recursive)+-- Tensort variant+-- -- Functions ending in "R" are for sorting Records when used in a recursive -- Tensort variant --@@ -49,7 +52,7 @@ where acc :: TensorStack -> [SBit] -> [SBit] acc tensor sortedBits = do- let (nextBit, tensor') = removeTopBitFromTensor subAlg tensor+ let (nextBit, tensor') = removeTopBitFromTensorB subAlg tensor let nextBit' = SBitBit nextBit if isNothing tensor' then nextBit' : sortedBits@@ -75,13 +78,13 @@ -- | ==== __Examples__ -- >>> import Data.Tensort.Subalgorithms.Bubblesort (bubblesort)--- >>> removeTopBitFromTensor bubblesort ([(0,5),(1,7)],ByteMem [[1,5],[3,7]])+-- >>> removeTopBitFromTensorB bubblesort ([(0,5),(1,7)],ByteMem [[1,5],[3,7]]) -- (7,Just ([(1,3),(0,5)],ByteMem [[1,5],[3]]))-removeTopBitFromTensor :: SortAlg -> Tensor -> (Bit, Maybe Tensor)-removeTopBitFromTensor subAlg (register, memory) = do+removeTopBitFromTensorB :: SortAlg -> Tensor -> (Bit, Maybe Tensor)+removeTopBitFromTensorB subAlg (register, memory) = do let topRecord = last register let topAddress = fst topRecord- let (topBit, memory') = removeBitFromMemory subAlg memory topAddress+ let (topBit, memory') = removeBitFromMemoryB subAlg memory topAddress if isNothing memory' then (topBit, Nothing) else@@ -113,8 +116,8 @@ ) ) -removeBitFromMemory :: SortAlg -> Memory -> Int -> (Bit, Maybe Memory)-removeBitFromMemory subAlg (ByteMem bytes) i = do+removeBitFromMemoryB :: SortAlg -> Memory -> Int -> (Bit, Maybe Memory)+removeBitFromMemoryB subAlg (ByteMem bytes) i = do let topByte = bytes !! i let topBit = last topByte let topByte' = init topByte@@ -131,9 +134,9 @@ let topByte'' = fromSortBit (subAlg (SortBit topByte')) let bytes' = take i bytes ++ [topByte''] ++ drop (i + 1) bytes (topBit, Just (ByteMem bytes'))-removeBitFromMemory subAlg (TensorMem tensors) i = do+removeBitFromMemoryB subAlg (TensorMem tensors) i = do let topTensor = tensors !! i- let (topBit, topTensor') = removeTopBitFromTensor subAlg topTensor+ let (topBit, topTensor') = removeTopBitFromTensorB subAlg topTensor if isNothing topTensor' then do let tensors' = take i tensors ++ drop (i + 1) tensors
tensort.cabal view
@@ -20,7 +20,7 @@ -- PVP summary: +-+------- breaking API changes -- | | +----- non-breaking API additions -- | | | +--- code changes with no API change-version: 1.0.1.1+version: 1.0.1.2 tested-with: GHC==9.8.2, GHC==9.6.4, @@ -77,10 +77,13 @@ -- Extra doc files to be distributed with the package, such as a CHANGELOG or a README. extra-doc-files: README.md,- CHANGELOG.md+ CHANGELOG.md, -- Extra source files to be distributed with the package, such as examples, or a tutorial module.--- extra-source-files:+extra-source-files: assets/images/*.png,+ assets/images/*.svg,+ data/WonkyComparator/*.txt,+ data/WonkyStuckComparator/*.txt, source-repository head type: git