Update sensitivity tests with more meta-learners

[jeongyoonlee]

Proposed changes

This PR adds S/T/R learners to test_Sensitivity(), in addition to X-learner.
It also fixes lint errors and removes legacy Python2 syntax, such as __future__ and class X(object):.

Types of changes

What types of changes does your code introduce to CausalML?
Put an x in the boxes that apply

• Bugfix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation Update (if none of the other choices apply)

Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your code.

• I have read the CONTRIBUTING doc
• I have signed the CLA
• Lint and unit tests pass locally with my changes
• I have added tests that prove my fix is effective or that my feature works
• I have added necessary documentation (if appropriate)
• Any dependent changes have been merged and published in downstream modules

Further comments

This PR depends on #758, which fixes #757. Until #758 is merged, tests will fail.

[t-tte]

LGTM