// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package lock

import (
	"os"
	"syscall"
)

   *     must be at least 4
   * @param bufferSize the size of the internal buffer. Must be a multiple of chunkSize
   */
  protected AbstractStreamingHasher(int chunkSize, int bufferSize) {
    // TODO(kevinb): check more preconditions (as bufferSize >= chunkSize) if this is ever public
    checkArgument(bufferSize % chunkSize == 0);

    // TODO(user): benchmark performance difference with longer buffer
    // always space for a single primitive

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras:

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
 *

// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package http

// Object Lambda headers
const (

    /**
     * Indicates whether Maven should operate in offline mode.
     *
     * @return an {@link Optional} containing true if offline mode is enabled, false if disabled, or empty if not specified
     */
    @Nonnull
    Optional<Boolean> offline();

    /**
     * Indicates whether Maven should operate in non-recursive mode (i.e., not build child modules).
     *

                    .longOpt("batch-mode")
                    .desc("Run in non-interactive mode. Alias for --non-interactive (kept for backwards compatability)")
                    .build());
            options.addOption(Option.builder()
                    .longOpt(NON_INTERACTIVE)
                    .desc("Run in non-interactive mode. Alias for --batch-mode")
                    .build());

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
 *

                .longOpt("batch-mode")
                .desc("Run in non-interactive mode. Alias for --non-interactive (kept for backwards compatability)")
                .build());
        options.addOption(Option.builder()
                .longOpt(NON_INTERACTIVE)
                .desc("Run in non-interactive mode. Alias for --batch-mode")
                .build());
        options.addOption(Option.builder()

  flags->tf_xla_cpu_global_jit = static_cast<bool>(enable);
  return static_cast<unsigned char>(original);
}

void TF_SetXlaAutoJitMode(const char* mode) {
  tensorflow::SetXlaAutoJitFlagFromFlagString(mode);
}

unsigned char TF_GetXlaAutoJitEnabled() {
  tensorflow::XlaAutoJitFlag flag =
      tensorflow::GetMarkForCompilationPassFlags()->xla_auto_jit_flag;