TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a
  // description of the mutation suitable for returning to the user.
  //

Further, the temp. S3 credentials will never out-live the client certificate. For example, if the `MINIO_IDENTITY_TLS_STS_EXPIRY` is 7 days but the certificate itself is only valid for the next 3 days, then MinIO will return S3 credentials that are valid for 3 days only.

## Caveat

 * the symmetry of {@code equals}. Custom definitions of equality are usually based on an interface,
 * such as {@code Set} or {@code List}, so that the implementation of {@code equals} can cast the
 * object being tested for equality to the custom interface. {@code ForwardingObject} implements no
 * such custom interfaces directly; they are implemented only in subclasses. Therefore, forwarding

  static final String PARALLEL_EDGES_NOT_ALLOWED =
      "Nodes %s and %s are already connected by a different edge. To construct a graph "
          + "that allows parallel edges, call allowsParallelEdges(true) on the Builder.";
  static final String SELF_LOOPS_NOT_ALLOWED =
      "Cannot add self-loop edge on node %s, as self-loops are not allowed. To construct a graph "

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

import java.util.Set;

/**
 * Base class for enumerating the features of an interface to be tested.
 *
 * @param <T> The interface whose features are to be enumerated.
 * @author George van den Driessche
 */
@GwtCompatible
public interface Feature<T> {
  /** Returns the set of features that are implied by this feature. */
  Set<Feature<? super T>> getImpliedFeatures();

// errRPCAPIVersionUnsupported - unsupported rpc API version.
var errRPCAPIVersionUnsupported = errors.New("Unsupported rpc API version")

// errServerTimeMismatch - server times are too far apart.
var errServerTimeMismatch = errors.New("Server times are too far apart")

// errInvalidRange - returned when given range value is not valid.
var errInvalidRange = errors.New("Invalid range")

    defaultSupportedCipherSuites =
      handshakeCertificates.sslSocketFactory().supportedCipherSuites.toList()
  }

  @Test
  fun testDefaultHandshakeCipherSuiteOrderingTls12Restricted() {
    // We are avoiding making guarantees on ordering of secondary Platforms.
    platform.assumeNotConscrypt()
    platform.assumeNotBouncyCastle()

    val client = makeClient(ConnectionSpec.RESTRICTED_TLS, TlsVersion.TLS_1_2)

    NOT_READY,

    /** We have reached the end of the data and are finished. */
    DONE,

    /** We've suffered an exception and are kaput. */
    FAILED,
  }

  @CheckForNull private T next;

  /**
   * Returns the next element. <b>Note:</b> the implementation must call {@link #endOfData()} when
   * there are no elements left in the iteration. Failure to do so could result in an infinite loop.
   *