#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_MODULAR_FILESYSTEM_H_
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_MODULAR_FILESYSTEM_H_

#include <memory>

#include "tensorflow/c/experimental/filesystem/filesystem_interface.h"
#include "tensorflow/core/platform/file_system.h"

/// This file builds classes needed to hold a filesystem implementation in the
/// modular world. Once all TensorFlow filesystems are converted to use the

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/filesystem/modular_filesystem.h"

#include <algorithm>
#include <string>
#include <utility>

#include "tensorflow/c/experimental/filesystem/modular_filesystem_registration.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/platform/env.h"

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_MODULAR_FILESYSTEM_REGISTRATION_H_
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_MODULAR_FILESYSTEM_REGISTRATION_H_

#include "tensorflow/c/experimental/filesystem/filesystem_interface.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/filesystem/modular_filesystem_registration.h"

#include <memory>

#include "tensorflow/c/experimental/filesystem/modular_filesystem.h"
#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/errors.h"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/filesystem/modular_filesystem.h"

#include <memory>
#include <random>
#include <string>

#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/stacktrace_handler.h"

cc_library(
    name = "modular_filesystem",
    srcs = [
        "modular_filesystem.cc",
        "modular_filesystem_registration.cc",
    ],
    hdrs = [
        "modular_filesystem.h",
        "modular_filesystem_registration.h",
    ],
    # TODO(b/139060984): Visibility should be more restrictive once we
    # convert to modular filesystems everywhere
    visibility = ["//visibility:public"],

     * Java does not accept the placement of two modules of the same name on the module-path.
     * So the modular test output directory usually needs to be placed in a {@code --path-module} option.
     *
     * <ul>
     *   <li>If the test output directory is modular, then:
     *     <ul>
     *       <li>If a test module name is identical to a main module name,

     * depending on whether {@link #CLASSES} or {@link #MODULES} is present.
     * </p>
     *
     * @param moduleName name of the module on which to apply the path
     * @return an identification of the patch-module path for the given module.
     *
     * @see Modular#moduleName()
     */
    @Nonnull
    public static Modular patchModule(@Nonnull String moduleName) {

     */
    private static final String MODULE_INFO = "module-info.class";

    /**
     * The attribute for automatic module name in {@code META-INF/MANIFEST.MF} files.
     */
    private static final Attributes.Name AUTO_MODULE_NAME = new Attributes.Name("Automatic-Module-Name");

    /**
     * Module information for the path specified at construction time.

     * Java does not accept the placement of two modules of the same name on the module-path.
     * So the modular test output directory usually needs to be placed in a {@code --path-module} option.
     *
     * <ul>
     *   <li>If the test output directory is modular, then:
     *     <ul>
     *       <li>If a test module name is identical to a main module name,