Add __str__ and __repr__ methods to ReplicatedSharedTensor

[vdasu]

Description

Closes #230.

Affected Dependencies

N.A.

How has this been tested?

Python tests have passed successfully.

Checklist

• [x] I have followed the Contribution Guidelines and Code of Conduct
• [x] I have commented my code following the OpenMined Styleguide
• [ ] I have labeled this PR with the relevant Type labels
• [x] My changes are covered by tests

[gmuraru]

Could you run black formatter over the codebase?

[vdasu]

Could you run black formatter over the codebase?

I ran black but it seems to have changed a lot of files that I have not edited. Is this expected?

[gmuraru]

Could you run black formatter over the codebase?

I ran black but it seems to have changed a lot of files that I have not edited. Is this expected?

Hmm...did you run the black version from the requirements file? It might be that you have another version (and sometimes black rules might change between versions)

[vdasu]

Could you run black formatter over the codebase?

I ran black but it seems to have changed a lot of files that I have not edited. Is this expected?

Hmm...did you run the black version from the requirements file? It might be that you have another version (and sometimes black rules might change between versions)

Yes, this seems to be this issue. I installed the black version in the requirements file and ran it again. Only one file which I did not change was reformatted this time. Does it look good?

[gmuraru]

Could you run black formatter over the codebase?

I ran black but it seems to have changed a lot of files that I have not edited. Is this expected?

Hmm...did you run the black version from the requirements file? It might be that you have another version (and sometimes black rules might change between versions)

Yes, this seems to be this issue. I installed the black version in the requirements file and ran it again. Only one file which I did not change was reformatted this time. Does it look good?

Hmm..I think you need to run black by using the version you have installed in the local virtual environment. Something like: ./venv/bin/python -m black .