require_tooling_dependency() now only translates
ModuleNotFoundError when the missing module is the
requested top-level package. Other import
failures are re-raised unchanged.
This helps in situation where third-party dependency
is installed but broken for whatever reason. Previously
we would intercept it and suggest to run
pip install cuda-bench[tools], but that was already done.
test_nvbench_tooling_deps.py now has a smoke test that builds a
temporary package layout matching the wheel mapping:
cuda/bench/scripts/nvbench_tooling_deps.py
and imports:
cuda.bench.scripts.nvbench_tooling_deps
That covers the cuda.bench.scripts.* path without requiring a wheel
build/install inside this unit test.
Add a shared nvbench_tooling_deps helper for importing packages required
by NVBench console tools. Missing tooling packages now raise a dedicated
error with an install recipe instead of failing with a raw ImportError.
Update script imports to work both as installed package modules and as
direct source-tree scripts by using the __package__ import pattern for
nvbench_json and the new tooling helper.
Defer nvbench-compare dependencies to the points where they are needed:
NumPy/colorama during normal comparison setup, tabulate during table
rendering, jsondiff only for device mismatch reporting, and plotting
packages only for plot modes.
Update tests to initialize compare tooling when calling internals
directly and add coverage for the tooling dependency loader.
Closes#384
