Make all xDSL passes visible to the compiler

[mudit2812]

Context:
Currently, trying to apply xDSL passes using @catalyst.apply_pass("my-pass") or @qml.transform(pass_name="my-pass") doesn't work for the passes in catalyst.python_interface.transforms because their files do not get collected unless something from that module is imported. This PR makes sure that the global xDSL pass registry is up-to-date before QJIT workflows are lowered to MLIR.

Description of the Change:

• Import XDSL_UNIVERSE when lowering transforms programs to transform.named_sequence. The XDSL_UNIVERSE is a data structure that collects all dialects and transforms into a single entry point. This makes sure that the transforms get imported, and consequently, registered.
• While fixing this change, I realized that the filecheck tests for the unified compiler were not executing at all. So, this PR also updates requirements.txt to install filecheck
• Additionally, this caused new test failures to be detected, which are resolved too.

Benefits:

Possible Drawbacks:

• This only works for transforms that are present in catalyst/python_interface/transforms/__init__.py. But, there are probably not any other cases in which we would want to use a transform that has not been directly or indirectly imported.

Related GitHub Issues:

[sc-106692]

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.10%. Comparing base (cb54fa4) to head (3a8a55f).
⚠️ Report is 6 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2322      +/-   ##
==========================================
- Coverage   97.28%   97.10%   -0.18%     
==========================================
  Files         107      107              
  Lines       12946    12947       +1     
  Branches     1076     1076              
==========================================
- Hits        12594    12572      -22     
- Misses        290      308      +18     
- Partials       62       67       +5     

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[andrijapau]

LGTM!

[sengthai]

Nice! Thanks @mudit2812