Codecov Fix

[laserprec]

Description

Resolves the following issue when merging code coverage reports generated in self-hosted (aml) runners.

"CoverageWarning: Couldn't parse 
 '/home/azureuser/runner/work/recommenders/recommenders/recommenders/evaluation/__init__.py': No source for code"

Also add -i flag to ignore the "No source for code" error.

Checklist:

• I have followed the contribution guidelines and code style for this project.
• I have added tests covering my contributions.
• I have updated the documentation accordingly.
• This PR is being made to staging branch and not to main branch.

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[codecov-commenter]

Codecov Report

Merging #1665 (0fa2ccf) into staging (afd0597) will decrease coverage by 34.76%.
The diff coverage is 100.00%.

❗ Current head 0fa2ccf differs from pull request most recent head c99afa7. Consider uploading reports for the commit c99afa7 to get more accurate results

@@             Coverage Diff              @@
##           staging    #1665       +/-   ##
============================================
- Coverage    57.97%   23.20%   -34.77%     
============================================
  Files           88       88               
  Lines         9096     9101        +5     
============================================
- Hits          5273     2112     -3161     
- Misses        3823     6989     +3166     

Flag	Coverage Δ
pr-gate	23.20% <100.00%> (-34.77%)	⬇️

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

Impacted Files	Coverage Δ
recommenders/models/lightfm/lightfm_utils.py	62.50% <ø> (ø)
recommenders/datasets/spark_splitters.py	87.27% <100.00%> (+1.55%)	⬆️
recommenders/models/sar/sar_singlenode.py	96.85% <100.00%> (-0.02%)	⬇️
...enders/models/deeprec/models/sequential/sli_rec.py	0.00% <0.00%> (-100.00%)	⬇️
...ders/models/deeprec/models/sequential/nextitnet.py	0.00% <0.00%> (-100.00%)	⬇️
...commenders/models/deeprec/models/sequential/sum.py	0.00% <0.00%> (-96.50%)	⬇️
recommenders/models/ncf/ncf_singlenode.py	2.29% <0.00%> (-96.19%)	⬇️
recommenders/models/newsrec/models/npa.py	0.00% <0.00%> (-95.59%)	⬇️
recommenders/models/wide_deep/wide_deep_utils.py	0.00% <0.00%> (-93.55%)	⬇️
recommenders/models/newsrec/models/naml.py	0.00% <0.00%> (-92.44%)	⬇️
... and 34 more

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