[Small] Added dtype to sample.py __array__ method

[AbhinavTuli]

🚀 🚀 Pull Request

Checklist:

• My code follows the style guidelines of this project and the Contributing document
• I have commented my code, particularly in hard-to-understand areas
• I have kept the coverage-rate up
• I have performed a self-review of my own code and resolved any problems
• I have checked to ensure there aren't any other open Pull Requests for the same change
• I have described and made corresponding changes to the relevant documentation
• New and existing unit tests pass locally with my changes

Changes

• np.array(hub.read("some/path"), dtype=np.uint8) will work now
• Useful for updating tiled samples with hub.read

[khustup]

Works with my script

[codecov]

Codecov Report

Merging #1470 (0918bd4) into main (8be1800) will increase coverage by 0.01%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main    #1470      +/-   ##
==========================================
+ Coverage   91.54%   91.55%   +0.01%     
==========================================
  Files         179      179              
  Lines       14788    14808      +20     
==========================================
+ Hits        13537    13557      +20     
  Misses       1251     1251              

Flag	Coverage Δ
unittests	91.55% <100.00%> (+0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
hub/core/sample.py	88.09% <100.00%> (+0.21%)	⬆️
hub/util/tests/test_read.py	100.00% <100.00%> (ø)
hub/integrations/tests/test_pytorch_dataloader.py	95.69% <0.00%> (-2.16%)	⬇️
hub/integrations/pytorch/dataset.py	91.33% <0.00%> (-1.16%)	⬇️
hub/core/ipc.py	0.00% <0.00%> (ø)
hub/__init__.py	97.87% <0.00%> (+0.04%)	⬆️
hub/core/query/filter.py	87.35% <0.00%> (+0.05%)	⬆️
hub/core/dataset/dataset.py	93.67% <0.00%> (+0.13%)	⬆️
hub/core/compression.py	78.96% <0.00%> (+0.18%)	⬆️
hub/tests/path_fixtures.py	92.63% <0.00%> (+0.52%)	⬆️
... and 4 more

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