Cast the input data to backend option and test functions in metrics for different input data types and different backend options.

[YannCabanes]

In the functions of the folder tslearn/metrics supporting the backend optional input parameter be, cast the input data to the backend option when possible (using be.array).
Test the functions of the file test_metrics.py for different input data types (list, numpy, pytorch) and different backend options (numpy, pytorch, None). Two nested for loops are used.

Therefore the following generic metric function is tested for different input data types and backend options:

def metric_function(s1, s2, be=None):
    be = instantiate_backend(be, s1, s2)
    s1 = be.array(s1)
    s2 = be.array(s2)
    ...

[codecov-commenter]

Codecov Report

Patch coverage: 99.46% and project coverage change: +0.10% 🎉

Comparison is base (cac29f5) 92.79% compared to head (78517d9) 92.90%.

❗ Current head 78517d9 differs from pull request most recent head 7622481. Consider uploading reports for the commit 7622481 to get more accurate results

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Additional details and impacted files

@@            Coverage Diff             @@
##             main     #479      +/-   ##
==========================================
+ Coverage   92.79%   92.90%   +0.10%     
==========================================
  Files          67       67              
  Lines        5583     5680      +97     
==========================================
+ Hits         5181     5277      +96     
- Misses        402      403       +1     

Files Changed	Coverage Δ
tslearn/tests/test_metrics.py	99.21% <99.36%> (-0.15%)	⬇️
tslearn/backend/__init__.py	100.00% <100.00%> (ø)
tslearn/backend/backend.py	85.71% <100.00%> (+3.89%)	⬆️
tslearn/backend/numpy_backend.py	94.11% <100.00%> (+0.17%)	⬆️
tslearn/backend/pytorch_backend.py	75.98% <100.00%> (+0.35%)	⬆️
tslearn/metrics/dtw_variants.py	95.52% <100.00%> (+0.03%)	⬆️
tslearn/metrics/softdtw_variants.py	93.90% <100.00%> (+0.19%)	⬆️

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