feat(lib): add random sampling and ML features #85

jeertmans · 2024-05-06T16:18:48Z

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codecov · 2024-05-06T16:23:07Z

Codecov Report

Attention: Patch coverage is 95.08197% with 3 lines in your changes missing coverage. Please review.

Project coverage is 90.57%. Comparing base (14f6f4b) to head (94ed298).

❗ Current head 94ed298 differs from pull request most recent head 513a01b

Please upload reports for the commit 513a01b to get more accurate results.

Files	Patch %	Lines
differt/src/differt/geometry/triangle_mesh.py	66.66%	3 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #85   +/-   ##
=======================================
  Coverage   90.57%   90.57%           
=======================================
  Files          35       35           
  Lines        1252     1284   +32     
=======================================
+ Hits         1134     1163   +29     
- Misses        118      121    +3

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github-actions · 2024-05-06T16:24:42Z

Rust benchmark results:

group                                                       before                                 changes
-----                                                       ------                                 -------
complete_graph_all_paths/iter                               1.04     23.6±0.14ns 40.5 MElem/sec    1.00     22.7±0.33ns 42.0 MElem/sec
complete_graph_all_paths_array_chunks/1                     1.00     32.9±0.21ns 29.0 MElem/sec    1.00     32.8±1.46ns 29.1 MElem/sec
complete_graph_all_paths_array_chunks/10                    1.00    354.3±6.15ns 26.9 MElem/sec    1.02   360.4±18.80ns 26.5 MElem/sec
complete_graph_all_paths_array_chunks/100                   1.00      2.5±0.04µs 37.8 MElem/sec    1.02      2.6±0.04µs 36.9 MElem/sec
complete_graph_all_paths_array_chunks/1000                  1.00     22.7±0.22µs 42.1 MElem/sec    1.01     22.9±0.51µs 41.7 MElem/sec
di_graph_from_complete_graph_all_paths/iter                 1.00    218.7±3.96ns  4.4 MElem/sec    1.00    219.7±4.45ns  4.3 MElem/sec
di_graph_from_complete_graph_all_paths_array_chunks/1       1.06    243.3±3.86ns  3.9 MElem/sec    1.00    230.0±3.20ns  4.1 MElem/sec
di_graph_from_complete_graph_all_paths_array_chunks/10      1.05      2.7±0.02µs  3.6 MElem/sec    1.00      2.5±0.07µs  3.8 MElem/sec
di_graph_from_complete_graph_all_paths_array_chunks/100     1.00     23.0±0.11µs  4.2 MElem/sec    1.06     24.4±0.41µs  3.9 MElem/sec
di_graph_from_complete_graph_all_paths_array_chunks/1000    1.00    220.7±4.35µs  4.3 MElem/sec    1.07    235.2±3.80µs  4.1 MElem/sec

github-actions · 2024-05-06T16:26:18Z

Python benchmark results:


-------------------------------- benchmark 'complete_graph_all_paths': 3 tests --------------------------------
Name (time in ns)                                    Mean              StdDev            OPS (Mops/s)          
---------------------------------------------------------------------------------------------------------------
test_complete_graph_all_paths (0003_before)      363.4728 (1.11)      98.0898 (1.0)            2.7512 (0.90)   
test_complete_graph_all_paths (0001_changes)     383.1352 (1.17)     130.9478 (1.33)           2.6100 (0.85)   
test_complete_graph_all_paths (0002_pgo)         327.2644 (1.0)      305.9501 (3.12)           3.0556 (1.0)    
---------------------------------------------------------------------------------------------------------------

----------------------------------- benchmark 'complete_graph_all_paths_array_chunks': 12 tests ------------------------------------
Name (time in ns)                                                       Mean                StdDev            OPS (Mops/s)          
------------------------------------------------------------------------------------------------------------------------------------
test_complete_graph_all_paths_array_chunks[1000] (0002_pgo)          31.2190 (1.0)        188.3246 (4.15)          32.0318 (1.0)    
test_complete_graph_all_paths_array_chunks[1000] (0003_before)       31.5264 (1.01)       177.6103 (3.91)          31.7195 (0.99)   
test_complete_graph_all_paths_array_chunks[1000] (0001_changes)      32.3253 (1.04)       182.3472 (4.01)          30.9355 (0.97)   
test_complete_graph_all_paths_array_chunks[100] (0002_pgo)           35.9567 (1.15)        96.9454 (2.13)          27.8112 (0.87)   
test_complete_graph_all_paths_array_chunks[100] (0003_before)        40.1610 (1.29)       191.5767 (4.22)          24.8998 (0.78)   
test_complete_graph_all_paths_array_chunks[100] (0001_changes)       40.6909 (1.30)       239.5330 (5.27)          24.5755 (0.77)   
test_complete_graph_all_paths_array_chunks[10] (0002_pgo)            69.7094 (2.23)       283.8184 (6.25)          14.3453 (0.45)   
test_complete_graph_all_paths_array_chunks[10] (0001_changes)        75.3397 (2.41)       196.5436 (4.33)          13.2732 (0.41)   
test_complete_graph_all_paths_array_chunks[10] (0003_before)         74.9060 (2.40)        45.4200 (1.0)           13.3501 (0.42)   
test_complete_graph_all_paths_array_chunks[1] (0002_pgo)            346.7007 (11.11)    1,007.8784 (22.19)          2.8843 (0.09)   
test_complete_graph_all_paths_array_chunks[1] (0003_before)         331.8411 (10.63)    1,758.4626 (38.72)          3.0135 (0.09)   
test_complete_graph_all_paths_array_chunks[1] (0001_changes)        329.3748 (10.55)      761.9495 (16.78)          3.0361 (0.09)   
------------------------------------------------------------------------------------------------------------------------------------

-------------------------------------- benchmark 'di_graph_complete_graph_all_paths_array_chunks': 12 tests --------------------------------------
Name (time in ns)                                                                     Mean                StdDev            OPS (Mops/s)          
--------------------------------------------------------------------------------------------------------------------------------------------------
test_di_graph_from_complete_graph_all_paths_array_chunks[1000] (0002_pgo)         230.9452 (1.0)         23.6667 (3.17)           4.3300 (1.0)    
test_di_graph_from_complete_graph_all_paths_array_chunks[100] (0002_pgo)          265.9033 (1.15)        37.7103 (5.05)           3.7608 (0.87)   
test_di_graph_from_complete_graph_all_paths_array_chunks[1000] (0003_before)      241.2931 (1.04)         7.4732 (1.0)            4.1443 (0.96)   
test_di_graph_from_complete_graph_all_paths_array_chunks[100] (0003_before)       265.5345 (1.15)        32.4120 (4.34)           3.7660 (0.87)   
test_di_graph_from_complete_graph_all_paths_array_chunks[1000] (0001_changes)     243.0455 (1.05)        21.9131 (2.93)           4.1145 (0.95)   
test_di_graph_from_complete_graph_all_paths_array_chunks[100] (0001_changes)      262.8645 (1.14)        22.8865 (3.06)           3.8042 (0.88)   
test_di_graph_from_complete_graph_all_paths_array_chunks[10] (0002_pgo)           326.4611 (1.41)        90.9114 (12.17)          3.0632 (0.71)   
test_di_graph_from_complete_graph_all_paths_array_chunks[10] (0001_changes)       330.3072 (1.43)       167.4963 (22.41)          3.0275 (0.70)   
test_di_graph_from_complete_graph_all_paths_array_chunks[10] (0003_before)        328.1503 (1.42)       138.0705 (18.48)          3.0474 (0.70)   
test_di_graph_from_complete_graph_all_paths_array_chunks[1] (0002_pgo)            584.6661 (2.53)       955.7408 (127.89)         1.7104 (0.40)   
test_di_graph_from_complete_graph_all_paths_array_chunks[1] (0003_before)         617.6416 (2.67)     1,187.1473 (158.85)         1.6191 (0.37)   
test_di_graph_from_complete_graph_all_paths_array_chunks[1] (0001_changes)        636.8994 (2.76)       442.2497 (59.18)          1.5701 (0.36)   
--------------------------------------------------------------------------------------------------------------------------------------------------

--------------------------------- benchmark 'di_graph_from_complete_graph_all_paths': 3 tests ---------------------------------
Name (time in ns)                                                  Mean                StdDev            OPS (Mops/s)          
-------------------------------------------------------------------------------------------------------------------------------
test_di_graph_from_complete_graph_all_paths (0002_pgo)         582.2733 (1.0)        734.6960 (1.37)           1.7174 (1.0)    
test_di_graph_from_complete_graph_all_paths (0001_changes)     586.8701 (1.01)       534.4194 (1.0)            1.7040 (0.99)   
test_di_graph_from_complete_graph_all_paths (0003_before)      597.3748 (1.03)     1,120.0231 (2.10)           1.6740 (0.97)   
-------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

feat(lib): add random sampling and ML features

c1f9cd8

jeertmans temporarily deployed to release May 6, 2024 16:18 — with GitHub Actions Inactive

feat(lib): add empty graph method and fix type hint

b9d95f7

jeertmans temporarily deployed to release May 7, 2024 08:30 — with GitHub Actions Inactive

fix(docs): type hints

9af41a2

jeertmans temporarily deployed to release May 7, 2024 08:43 — with GitHub Actions Inactive

fix(docs): type hint

46579d2

jeertmans temporarily deployed to release May 7, 2024 08:58 — with GitHub Actions Inactive

refactor(lib): make plotting logic simpler

94ed298

jeertmans temporarily deployed to release May 7, 2024 09:51 — with GitHub Actions Inactive

chore(docs): cleanup

b29cf27

jeertmans temporarily deployed to release May 7, 2024 14:59 — with GitHub Actions Inactive

chore(docs): fix disappearing functions

f000e23

jeertmans temporarily deployed to release May 8, 2024 09:56 — with GitHub Actions Inactive

fix(docs): typos

520f5f7

jeertmans temporarily deployed to release May 8, 2024 10:04 — with GitHub Actions Inactive

chore(docs): nicer looking example

72a04e9

jeertmans temporarily deployed to release May 8, 2024 10:08 — with GitHub Actions Inactive

chore(docs): add reuse example

79105f7

jeertmans temporarily deployed to release May 8, 2024 10:21 — with GitHub Actions Inactive

fix(lib): type hints

219d57f

jeertmans temporarily deployed to release May 8, 2024 11:48 — with GitHub Actions Inactive

fix(docs): examples and tests

5598df1

jeertmans temporarily deployed to release May 8, 2024 12:29 — with GitHub Actions Inactive

chore(docs): renaming some axes

28b5ee3

jeertmans temporarily deployed to release May 8, 2024 13:24 — with GitHub Actions Inactive

fix(docs): type hints etc

f70942d

jeertmans temporarily deployed to release May 8, 2024 15:25 — with GitHub Actions Inactive

fix(docs): wip

5c90adf

jeertmans temporarily deployed to release May 10, 2024 12:17 — with GitHub Actions Inactive

fix(docs): exclude patterns

112f419

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Merge branch 'main' into deep-sets

513a01b

jeertmans temporarily deployed to release June 11, 2024 12:27 — with GitHub Actions Inactive

jeertmans merged commit 2a4e99c into main Jun 11, 2024
41 of 46 checks passed

jeertmans deleted the deep-sets branch June 11, 2024 12:59

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feat(lib): add random sampling and ML features #85

feat(lib): add random sampling and ML features #85

jeertmans commented May 6, 2024

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feat(lib): add random sampling and ML features #85

feat(lib): add random sampling and ML features #85

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