import java.util.concurrent.locks.LockSupport;
import org.jspecify.annotations.Nullable;

/**
 * Works around an android bug, where parking for more than INT_MAX seconds can produce an abort
 * signal on 32 bit devices running Android Q.
 */
@GwtIncompatible
final class OverflowAvoidingLockSupport {
  // Represents the max nanoseconds representable on a linux timespec with a 32 bit tv_sec

Android Test
============

A gradle module for running Android instrumentation tests on a device or emulator.

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

import okhttp3.internal.readFieldOrNull

/**
 * Base Android reflection based SocketAdapter for the built in Android SSLSocket.
 *
 * It's assumed to always be present with known class names on Android devices, so we build
 * optimistically via [buildIfSupported]. But it also doesn't assume a compile time API.
 */
class StandardAndroidSocketAdapter(
  sslSocketClass: Class<in SSLSocket>,

    TF_Status status;
    // Let this custom device choose the device to pin this op on if it
    // implements the pinning function.
    if (device_.shall_pin_to_this_device != nullptr) {
      return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status);
    }
    return errors::Unimplemented("No custom device pinning implementation.");
  }

 private:
  TFE_Context* context_;

  LoggingDevice* device = new LoggingDevice;
  device->arrived_flag = arrived_flag;
  device->executed_flag = executed_flag;
  device->device_name = name;
  device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0";
  device->strict_scope_placement = strict_scope_placement;
  TFE_RegisterCustomDevice(context, custom_device, name, device, status);
}

 * @author Martin Buchholz
 * @since 11.0
 */
public class AtomicDouble extends Number {
  private static final long serialVersionUID = 0L;

  // We would use AtomicLongFieldUpdater, but it has issues on some Android devices.
  private transient AtomicLong value;

  /**
   * Creates a new {@code AtomicDouble} with the given initial value.
   *
   * @param initialValue the initial value
   */

[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
 pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only TensorFlow package is also available:

```
 pip install tensorflow-cpu
```

import java.util.concurrent.locks.LockSupport;
import org.jspecify.annotations.Nullable;

@GwtCompatible
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
// Some Android 5.0.x Samsung devices have bugs in JDK reflection APIs that cause
// getDeclaredField to throw a NoSuchFieldException when the field is definitely there.
// Since this class only needs CAS on one field, we can avoid this bug by extending AtomicReference

configuration history is [tracked here](../security/tls_configuration_history.md).

Applications expected to be installed on older Android devices should consider adopting the
[Google Play Services’ ProviderInstaller][provider_installer]. This will increase security for users
and increase connectivity with web servers.

- DRA: When the prioritized list feature was used in a request and the resulting number of allocated devices exceeded the number of allowed devices per claim, the scheduler aborted the attempt to allocate devices early. Previously, it tried to many different combinations, which could take a long time. ([#130593](https://github.com/kubernetes/kubernetes/pull/130593), [@mortent](https://github.com/mortent))...