// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package x509

// Possible certificate files; stop after finding one.
var certFiles = []string{
	"/var/ssl/certs/ca-bundle.crt",
}

// Possible directories with certificate files; all will be read.
var certDirectories = []string{
	"/var/ssl/certs",

licenses(["notice"])

glob_lit_tests(
    name = "all_tests",
    data = [":test_utilities"],
    driver = "@llvm-project//mlir:run_lit.sh",
    test_file_exts = ["mlir"],
)

# Bundle together all of the test utilities that are used by tests.
filegroup(
    name = "test_utilities",
    testonly = True,
    data = [
        "//tensorflow/compiler/mlir/lite:flatbuffer_to_string",

func (c unionCAContent) Name() string {
	names := []string{}
	for _, curr := range c {
		names = append(names, curr.Name())
	}
	return strings.Join(names, ",")
}

// CurrentCABundleContent provides ca bundle byte content
func (c unionCAContent) CurrentCABundleContent() []byte {
	caBundles := [][]byte{}
	for _, curr := range c {
		if currCABytes := curr.CurrentCABundleContent(); len(currCABytes) > 0 {

    // (e.g., "XLA_CPU_JIT");
    std::string compilation_device_name;

    // A vector of ShapeDeterminationFn (i.e., a bundle of LayoutSelectionFn,
    // ShapeRepresentationFn). Each bundle describes how the on-host shapes of
    // a) argument and return value, for entry computations b) variables, for
    // all computations, should be represented in XLA. Parameters/return values

)

glob_lit_tests(
    name = "all_tests",
    data = [":test_utilities"],
    driver = "@llvm-project//mlir:run_lit.sh",
    test_file_exts = [
        "mlir",
        "cc",
    ],
)

# Bundle together all of the test utilities that are used by tests.
filegroup(
    name = "test_utilities",
    testonly = True,
    data = [
        "//tensorflow/compiler/mlir/lite/experimental/tac:tac-translate",

        new XcodeProjectPackage(bundle)
    }

    protected XcodeProjectPackage getRootXcodeProject() {
        xcodeProject("${rootProjectName}.xcodeproj")
    }

    protected XcodeWorkspacePackage xcodeWorkspace(String path) {
        xcodeWorkspace(file(path))
    }

    protected XcodeWorkspacePackage xcodeWorkspace(TestFile bundle) {
        new XcodeWorkspacePackage(bundle)

  id("org.jetbrains.dokka")
  id("com.vanniktech.maven.publish.base")
  id("binary-compatibility-validator")
}

project.applyOsgi(
  "Export-Package: okhttp3.logging",
  "Automatic-Module-Name: okhttp3.logging",
  "Bundle-SymbolicName: com.squareup.okhttp3.logging"
)

dependencies {
  api(projects.okhttp)
  compileOnly(libs.findbugs.jsr305)

  testCompileOnly(libs.findbugs.jsr305)
  testImplementation(libs.junit)

    bool show_debug_info, TF_Status* status) {
  // Load the saved model into a SavedModelV2Bundle.

  tensorflow::SavedModelV2Bundle bundle;
  auto load_status =
      tensorflow::SavedModelV2Bundle::Load(saved_model_path, &bundle);
  if (!load_status.ok()) {
    tsl::Set_TF_Status_from_Status(status, load_status);
    return "// error";
  }

#     data = [":test_utilities"],
#     driver = "//tensorflow/compiler/mlir:run_lit.sh",
#     features = if_oss(["--path=org_tensorflow/tensorflow/compiler/mlir/tfrt"]),
#     test_file_exts = ["mlir"],
# )
#
# # Bundle together all of the test utilities that are used by tests.
# filegroup(
#     name = "test_utilities",
#     testonly = True,
#     data = [
#         "@llvm-project//llvm:FileCheck",
#         "@llvm-project//llvm:not",

    <file url="file://$PROJECT_DIR$/libraries/tools/kotlin-osgi-bundle" charset="UTF-8" />
    <file url="file://$PROJECT_DIR$/libraries/tools/kotlin-osgi-bundle/src/main/java" charset="UTF-8" />
    <file url="file://$PROJECT_DIR$/libraries/tools/kotlin-osgi-bundle/src/main/resources" charset="UTF-8" />
    <file url="file://$PROJECT_DIR$/libraries/tools/maven-archetypes" charset="UTF-8" />