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chore: import upstream snapshot with attribution
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Python

# Copyright 2022 The TensorFlow 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.
# ==============================================================================
"""Build macros for checking ABI compatibility."""
load("@flatbuffers//:build_defs.bzl", "flatc_path")
load("@rules_shell//shell:sh_test.bzl", "sh_test")
def flatbuffer_schema_compat_test(name, ref_schema, schema):
"""Generates a test for schema binary compatibility.
Generates a test that the specified schema file is binary backwards
compatible with a reference schema (e.g. a previous version of the
schema).
Note: currently this build macro requires that the schema be a single
fully self-contained .fbs file; it does not yet support includes.
"""
native.genrule(
name = name + "_gen",
srcs = [ref_schema, schema],
outs = [name + "_test.sh"],
tools = [flatc_path],
cmd = ("echo $(rootpath {}) --conform $(rootpath {}) $(rootpath {}) > $@"
.format(flatc_path, ref_schema, schema)),
)
sh_test(
name = name,
srcs = [name + "_test.sh"],
data = [flatc_path, ref_schema, schema],
)