Optimize Chebyshev for Multi-dimensional data using batch vectorization

[Radonirinaunimi]

TODO:

• add unit and integration tests for Chebyshev

[codecov]

Codecov Report

❌ Patch coverage is 67.56757% with 156 lines in your changes missing coverage. Please review.
✅ Project coverage is 79.87%. Comparing base (56a92eb) to head (a454896).
⚠️ Report is 24 commits behind head on master.

Files with missing lines	Patch %	Lines
neopdf/src/strategy.rs	80.84%	59 Missing ⚠️
neopdf/src/interpolator.rs	32.94%	57 Missing ⚠️
neopdf_capi/src/lib.rs	0.00%	25 Missing ⚠️
neopdf/src/gridpdf.rs	80.35%	11 Missing ⚠️
neopdf_pyapi/src/pdf.rs	0.00%	4 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master      #64      +/-   ##
==========================================
- Coverage   80.41%   79.87%   -0.55%     
==========================================
  Files          27       27              
  Lines        4601     5034     +433     
==========================================
+ Hits         3700     4021     +321     
- Misses        901     1013     +112     

Flag	Coverage Δ
capi	42.48% <1.24%> (-4.82%)	⬇️
python	44.83% <1.30%> (-4.69%)	⬇️
rust	83.10% <78.69%> (+0.50%)	⬆️

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[github-actions]

🚀 Benchmark Results 🚀

Here are the results from the benchmark run.

xfxq2                   time:   [62.808 ns 62.833 ns 62.857 ns]
Found 3 outliers among 100 measurements (3.00%)
  1 (1.00%) high mild
  2 (2.00%) high severe

xfxq2s                  time:   [18.640 µs 19.078 µs 19.616 µs]
Found 24 outliers among 100 measurements (24.00%)
  3 (3.00%) low mild
  9 (9.00%) high mild
  12 (12.00%) high severe

xfxq2_members           time:   [621.42 ps 621.57 ps 621.74 ps]
Found 8 outliers among 100 measurements (8.00%)
  4 (4.00%) high mild
  4 (4.00%) high severe

[github-actions]

🚀 Benchmark Results 🚀

Here are the results from the benchmark run.

xfxq2                   time:   [62.840 ns 62.999 ns 63.315 ns]
                        change: [−0.0667% +0.1973% +0.5658%] (p = 0.27 > 0.05)
                        No change in performance detected.
Found 11 outliers among 100 measurements (11.00%)
  1 (1.00%) low severe
  2 (2.00%) low mild
  3 (3.00%) high mild
  5 (5.00%) high severe

xfxq2s                  time:   [19.078 µs 19.826 µs 20.722 µs]
                        change: [−2.1010% +1.7608% +6.1650%] (p = 0.42 > 0.05)
                        No change in performance detected.
Found 16 outliers among 100 measurements (16.00%)
  4 (4.00%) high mild
  12 (12.00%) high severe

xfxq2_members           time:   [310.93 ps 311.38 ps 311.99 ps]
                        change: [−50.045% −49.925% −49.817%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 11 outliers among 100 measurements (11.00%)
  3 (3.00%) high mild
  8 (8.00%) high severe