mirror of
https://github.com/NVIDIA/nvbench.git
synced 2026-07-01 19:57:41 +00:00
5c41187e00
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.
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
#!/usr/bin/env python
|
|
#
|
|
# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION.
|
|
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
|
|
from __future__ import annotations
|
|
|
|
import importlib
|
|
from dataclasses import dataclass
|
|
from types import ModuleType
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class ToolingDependency:
|
|
import_name: str
|
|
package_name: str
|
|
purpose: str
|
|
extra: str = "tools"
|
|
|
|
|
|
class MissingToolingDependencyError(RuntimeError):
|
|
pass
|
|
|
|
|
|
def require_tooling_dependency(
|
|
dependency: ToolingDependency, *, tool_name: str
|
|
) -> ModuleType:
|
|
try:
|
|
return importlib.import_module(dependency.import_name)
|
|
except ModuleNotFoundError as exc:
|
|
top_level_package = dependency.import_name.partition(".")[0]
|
|
if exc.name != top_level_package:
|
|
raise
|
|
raise MissingToolingDependencyError(
|
|
f"{tool_name} requires {dependency.package_name!r} for "
|
|
f"{dependency.purpose}.\n\n"
|
|
"Install the required tooling dependencies with:\n"
|
|
f" python -m pip install 'cuda-bench[{dependency.extra}]'\n\n"
|
|
f"Original import error: {exc}"
|
|
) from exc
|