get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([
        1,
        2,
    ])
)

TENSORFLOW_API_INIT_FILES_V1 = (
    TENSORFLOW_API_INIT_FILES_V1 +
    get_compat_files(TENSORFLOW_API_INIT_FILES, 2) +
    get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([
        1,
        2,
    ])
)
# copybara:comment_end

	}
	_, err = r.Open("test.txt")
	if err != nil {
		t.Errorf("Error reading file: %v", err)
	}
	if len(r.File) != 1 {
		t.Fatalf("No entries in the file list")
	}
	if r.File[0].Name != "../test.txt" {
		t.Errorf("Unexpected entry name: %s", r.File[0].Name)
	}
	if _, err := r.File[0].Open(); err != nil {
		t.Errorf("Error opening file: %v", err)
	}
}

func TestOpenReaderInsecurePath(t *testing.T) {

    key: String,
    index: Int,
  ) = cacheDir / "$key.$index.tmp"

  private fun readFile(file: Path): String {
    return filesystem.read(file) {
      readUtf8()
    }
  }

  private fun readFileOrNull(file: Path): String? {
    return try {
      filesystem.read(file) {
        readUtf8()
      }
    } catch (_: FileNotFoundException) {
      null
    }
  }

		return osErrToFileErr(err)
	}

	// Close the file descriptor.
	defer file.Close()
	fi, err := file.Stat()
	if err != nil {
		// Unable to stat on the file, return an expected error
		// for healing code to fix this file.
		return err
	}
	return bitrotVerify(diskHealthReader(ctx, file), fi.Size(), partSize, algo, sum, shardSize)
}

]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',

		t.Fatalf("Unable to create a file \"as-file\", %s", err)
	}
	if err = xlStorage.AppendFile(context.Background(), "exists", "as-file-parent/xl.meta", xlMeta); err != nil {
		t.Fatalf("Unable to create a file \"as-file-parent\", %s", err)
	}
	if err = xlStorage.MakeVol(context.Background(), "exists/as-file/"+fi.DataDir); err != nil {

					"code-quality",
					"declarative-dsl-provider",
					"persistent-cache",
					"ide-plugins",
					"platform-native",
					"file-collections",
					"execution-e2e-tests",
					"testing-native",
					"jacoco",
					"version-control",
					"file-watching"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"model-core",

            if (response.getHttpStatusCode() == 200) {
                logger.info("Flushed config files.");
            } else {
                logger.warn("Failed to flush config files.");
            }
        } catch (final Exception e) {
            logger.warn("Failed to flush config files.", e);
        }
    }

    public void flushConfigFiles(final Runnable callback) {

		checkRespErr(rec, http.StatusOK)
	}
}

// unzip a file into a specific target dir - used to unzip sample data in cmd/testdata/
func unzipArchive(zipFilePath, targetDir string) error {
	zipReader, err := zip.OpenReader(zipFilePath)
	if err != nil {
		return err
	}
	for _, file := range zipReader.Reader.File {
		zippedFile, err := file.Open()
		if err != nil {
			return err
		}

# the openxla/xla repo, also include debug info for files under xla/.
build:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0
build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360
build:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON