blob: 4210ea0be26c7b3c64a0fd6c4a3d6b9ccd6bbee0 [file] [log] [blame] [edit]
module(
name = "google_benchmark",
version = "1.8.5",
)
bazel_dep(name = "bazel_skylib", version = "1.5.0")
bazel_dep(name = "platforms", version = "0.0.8")
bazel_dep(name = "rules_foreign_cc", version = "0.10.1")
bazel_dep(name = "rules_cc", version = "0.0.9")
bazel_dep(name = "rules_python", version = "0.31.0", dev_dependency = True)
bazel_dep(name = "googletest", version = "1.12.1", dev_dependency = True, repo_name = "com_google_googletest")
bazel_dep(name = "libpfm", version = "4.11.0")
# Register a toolchain for Python 3.9 to be able to build numpy. Python
# versions >=3.10 are problematic.
# A second reason for this is to be able to build Python hermetically instead
# of relying on the changing default version from rules_python.
python = use_extension("@rules_python//python/extensions:python.bzl", "python", dev_dependency = True)
python.toolchain(python_version = "3.8")
python.toolchain(python_version = "3.9")
python.toolchain(python_version = "3.10")
python.toolchain(python_version = "3.11")
python.toolchain(
is_default = True,
python_version = "3.12",
)
pip = use_extension("@rules_python//python/extensions:pip.bzl", "pip", dev_dependency = True)
pip.parse(
hub_name = "tools_pip_deps",
python_version = "3.9",
requirements_lock = "//tools:requirements.txt",
)
use_repo(pip, "tools_pip_deps")
# -- bazel_dep definitions -- #
bazel_dep(name = "nanobind_bazel", version = "2.1.0", dev_dependency = True)