"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "tools/common.bzl" between
tink-1.6.0.tar.gz and tink-1.6.1.tar.gz

About: Tink is a cryptographic library that provides a safe, simple and agile API for common cryptographic tasks, like symmetric encryption, message authentication, digital signatures, and hybrid encryption.

common.bzl  (tink-1.6.0)	:	common.bzl  (tink-1.6.1)
skipping to change at line 15		skipping to change at line 15
# You may obtain a copy of the License at		# You may obtain a copy of the License at
#		#
# http://www.apache.org/licenses/LICENSE-2.0		# http://www.apache.org/licenses/LICENSE-2.0
#		#
# Unless required by applicable law or agreed to in writing, software		# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,		# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.		# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and		# See the License for the specific language governing permissions and
# limitations under the License.		# limitations under the License.
""" Rule for simple expansion of template files. """		""" Common starlark rules. """
		load("@bazel_skylib//lib:new_sets.bzl", "sets")
# Rule for simple expansion of template files. This performs a simple		# Rule for simple expansion of template files. This performs a simple
# search over the template file for the keys in substitutions,		# search over the template file for the keys in substitutions,
# and replaces them with the corresponding values.		# and replaces them with the corresponding values.
#		#
# Borrowed from TensorFlow (https://github.com/tensorflow/tensorflow)		# Borrowed from TensorFlow (https://github.com/tensorflow/tensorflow)
#		#
# Typical usage:		# Typical usage:
# load("/tools/build_rules/template_rule", "expand_header_template")		# load("/tools/build_rules/template_rule", "expand_header_template")
# template_rule(		# template_rule(
skipping to change at line 61		skipping to change at line 63
mandatory = True,		mandatory = True,
allow_single_file = True,		allow_single_file = True,
),		),
"substitutions": attr.string_dict(mandatory = True),		"substitutions": attr.string_dict(mandatory = True),
"out": attr.output(mandatory = True),		"out": attr.output(mandatory = True),
},		},
# output_to_genfiles is required for header files.		# output_to_genfiles is required for header files.
output_to_genfiles = True,		output_to_genfiles = True,
implementation = template_rule_impl,		implementation = template_rule_impl,
)		)
		# Traverse the dependency graph along the "deps" attribute of the
		# target and return a struct with one field called 'tf_collected_deps'.
		# tf_collected_deps will be the union of the deps of the current target
		# and the tf_collected_deps of the dependencies of this target.
		# Borrowed from TensorFlow (https://github.com/tensorflow/tensorflow).
		def _collect_deps_aspect_impl(target, ctx):
		direct, transitive = [], []
		all_deps = []
		if hasattr(ctx.rule.attr, "deps"):
		all_deps += ctx.rule.attr.deps
		if hasattr(ctx.rule.attr, "data"):
		all_deps += ctx.rule.attr.data
		for dep in all_deps:
		direct.append(dep.label)
		if hasattr(dep, "tf_collected_deps"):
		transitive.append(dep.tf_collected_deps)
		return struct(tf_collected_deps = depset(direct = direct, transitive = trans
		itive))
		collect_deps_aspect = aspect(
		attr_aspects = ["deps", "data"],
		implementation = _collect_deps_aspect_impl,
		)
		def _dep_label(dep):
		label = dep.label
		return label.package + ":" + label.name
		# This rule checks that transitive dependencies don't depend on the targets
		# listed in the 'disallowed_deps' attribute, but do depend on the targets listed
		# in the 'required_deps' attribute. Dependencies considered are targets in the
		# 'deps' attribute or the 'data' attribute.
		# Borrowed from TensorFlow (https://github.com/tensorflow/tensorflow).
		def _check_deps_impl(ctx):
		required_deps = ctx.attr.required_deps
		disallowed_deps = ctx.attr.disallowed_deps
		for input_dep in ctx.attr.deps:
		if not hasattr(input_dep, "tf_collected_deps"):
		continue
		collected_deps = sets.make(input_dep.tf_collected_deps.to_list())
		for disallowed_dep in disallowed_deps:
		if sets.contains(collected_deps, disallowed_dep.label):
		fail(
		_dep_label(input_dep) + " cannot depend on " +
		_dep_label(disallowed_dep),
		)
		for required_dep in required_deps:
		if not sets.contains(collected_deps, required_dep.label):
		fail(
		_dep_label(input_dep) + " must depend on " +
		_dep_label(required_dep),
		)
		check_deps = rule(
		_check_deps_impl,
		attrs = {
		"deps": attr.label_list(
		aspects = [collect_deps_aspect],
		mandatory = True,
		allow_files = True,
		),
		"disallowed_deps": attr.label_list(
		default = [],
		allow_files = True,
		),
		"required_deps": attr.label_list(
		default = [],
		allow_files = True,
		),
		},
		)
End of changes. 2 change blocks.
1 lines changed or deleted		3 lines changed or added

---