Add sum

[flying-sheep]

Hi @ilan-gold you implemented the dask support here, but I have a few questions, could you please take a look?

[codecov]

Codecov Report

Attention: Patch coverage is 80.85106% with 9 lines in your changes missing coverage. Please review.

Project coverage is 78.03%. Comparing base (f241148) to head (fbd1d7d).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/fast_array_utils/stats/_sum.py	78.57%	9 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #13      +/-   ##
==========================================
+ Coverage   77.34%   78.03%   +0.69%     
==========================================
  Files           7        9       +2     
  Lines         128      173      +45     
==========================================
+ Hits           99      135      +36     
- Misses         29       38       +9     

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[codspeed-hq]

CodSpeed Performance Report

Merging #13 will not alter performance

_{Comparing pa/sum (fbd1d7d) with main (f241148)}

Summary

✅ 8 untouched benchmarks
🆕 30 new benchmarks

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
🆕	test_sum_benchmark[numpy.ndarray-0-float32]	N/A	106.7 µs	N/A
🆕	test_sum_benchmark[numpy.ndarray-0-float64]	N/A	127.9 µs	N/A
🆕	test_sum_benchmark[numpy.ndarray-1-float32]	N/A	111.6 µs	N/A
🆕	test_sum_benchmark[numpy.ndarray-1-float64]	N/A	130.6 µs	N/A
🆕	test_sum_benchmark[numpy.ndarray-None-float32]	N/A	107 µs	N/A
🆕	test_sum_benchmark[numpy.ndarray-None-float64]	N/A	125.2 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-0-float32]	N/A	314.7 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-0-float64]	N/A	338.2 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-1-float32]	N/A	273.9 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-1-float64]	N/A	299.9 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-None-float32]	N/A	268.9 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_array-None-float64]	N/A	290.9 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-0-float32]	N/A	374.7 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-0-float64]	N/A	400.6 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-1-float32]	N/A	338.2 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-1-float64]	N/A	366 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-None-float32]	N/A	336.3 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csc_matrix-None-float64]	N/A	353.1 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csr_array-0-float32]	N/A	411.6 µs	N/A
🆕	test_sum_benchmark[scipy.sparse.csr_array-0-float64]	N/A	438.3 µs	N/A
...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.