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# Copyright 2023 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Implementation of current_py_cc_headers rule."""
def _current_py_cc_headers_impl(ctx):
py_cc_toolchain = ctx.toolchains["//python/cc:toolchain_type"].py_cc_toolchain
return py_cc_toolchain.headers.providers_map.values()
current_py_cc_headers = rule(
implementation = _current_py_cc_headers_impl,
toolchains = ["//python/cc:toolchain_type"],
provides = [CcInfo],
doc = """\
Provides the currently active Python toolchain's C headers.
This is a wrapper around the underlying `cc_library()` for the
C headers for the consuming target's currently active Python toolchain.
To use, simply depend on this target where you would have wanted the
toolchain's underlying `:python_headers` target:
```starlark
cc_library(
name = "foo",
deps = ["@rules_python//python/cc:current_py_cc_headers"]
)
```
""",
)
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