#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/platform.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/profiler/lib/traceme.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"
#include "tensorflow/core/public/version.h"

}

teardown_file() {
    rm -rf /tf/venv
}

@test "Wheel is manylinux2014 (manylinux_2_17) compliant" {
    python3 -m auditwheel show "$TF_WHEEL" > audit.txt
    grep --quiet -zoP 'is consistent with the following platform tag:\n"manylinux_2_17_(aarch|x86_)64"\.' audit.txt
}

@test "Wheel conforms to upstream size limitations" {
    WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}')

import okhttp3.internal.http2.Header
import okhttp3.internal.http2.Http2Connection
import okhttp3.internal.http2.Http2Stream
import okhttp3.internal.immutableListOf
import okhttp3.internal.platform.Platform
import okhttp3.internal.threadFactory
import okhttp3.internal.toImmutableList
import okhttp3.internal.ws.RealWebSocket
import okhttp3.internal.ws.WebSocketExtensions
import okhttp3.internal.ws.WebSocketProtocol

    * EBS on AWS, and Cinder on OpenStack). In previous versions of Kubernetes
    * a PersistentVolumeClaim without a StorageClass annotation on these cloud
    * platforms would be satisfied by manually-created PersistentVolume objects.
    * Administrators can choose to disable this behavior by deleting the automatically

   * man-in-the-middle attacks. https://bugs.openjdk.java.net/browse/JDK-8212823
   */
  @Test
  fun anonCipherSuiteUnsupported() {
    platform.assumeNotConscrypt()
    platform.assumeNotBouncyCastle()

    // The _anon_ suites became unsupported in "1.8.0_201" and "11.0.2".
    assumeFalse(

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Abstract interface to a TensorHandle.
//
// A TensorHandle is management class around a Tensor which may track additional
// metadata and synchronization.
//

 * the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.util.concurrent.Platform.restoreInterruptIfIsInterruptedException;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.errorprone.annotations.CanIgnoreReturnValue;

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package disk

import (
	"os"
)

// ODirectPlatform indicates if the platform supports O_DIRECT
const ODirectPlatform = false

// OpenBSD, Windows, and illumos do not support O_DIRECT.
// On Windows there is no documentation on disabling O_DIRECT.

#include "tensorflow/c/eager/dlpack.h"

#include <vector>

#include "absl/strings/str_join.h"
#include "include/dlpack/dlpack.h"  // from @dlpack
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx,
                          std::vector<int64_t> shape,

#include "tensorflow/core/lib/monitoring/gauge.h"
#include "tensorflow/core/lib/monitoring/sampler.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/strcat.h"

using tensorflow::string;

void TFE_OpReset(TFE_Op* op_to_reset, const char* op_or_function_name,