#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/strcat.h"

// =============================================================================
// Public C API entry points
// These are only the entry points specific to the Eager API.
// =============================================================================

using tensorflow::AbstractContext;
using tensorflow::AbstractTensorHandle;

    /**
     * The collection of rendered documentation.  This is everything laid out as it would be deployed/packaged.
     */
    public abstract ConfigurableFileCollection getRenderedDocumentation();

    // These are all helper methods for configuring the parts of the documentation (DSL ref, javadoc, user manual, etc).
    public ReleaseNotes getReleaseNotes() {
        return releaseNotes;
    }

## Rewriting Requests

When you provide OkHttp with an HTTP request, you’re describing the request at a high-level: _“fetch me this URL with these headers.”_ For correctness and efficiency, OkHttp rewrites your request before transmitting it.

        this.id = id;
        this.url = url;
        this.layout = layout;
        this.snapshots = snapshots;
        this.releases = releases;
        //
        // Derive these from the URL
        //
        this.protocol = protocol(url);
        this.basedir = basedir(url);
    }

    public MavenArtifactRepository(
            String id,
            Path path,

 * also defines an additional query operation, {@link #count}, which returns the count of an
 * element. There are five new bulk-modification operations, for example {@link #add(Object, int)},
 * to add or remove multiple occurrences of an element at once, or to set the count of an element to
 * a specific value. These modification operations are optional, but implementations which support

 * }
 *
 * <h3>Views</h3>
 *
 * <p>Much of the power of the multimap API comes from the <i>view collections</i> it provides.
 * These always reflect the latest state of the multimap itself. When they support modification, the
 * changes are <i>write-through</i> (they automatically update the backing multimap). These view
 * collections are:
 *
 * <ul>
 *   <li>{@link #asMap}, mentioned above

    }

    @Test
    public void test_constantsExist() {
        // Verify all expected configuration constants are defined
        SpnegoAuthenticator authenticator = new SpnegoAuthenticator();

        // These constants should be accessible (would fail at compile time if not)
        assertTrue(SpnegoAuthenticator.class.getName().contains("SpnegoAuthenticator"));

        // Verify authenticator is properly named (no typo)

   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   

        return 0;
      }
    }

    /**
     * {@inheritDoc}
     *
     * <p>If the data in the multiset is modified by any other threads during this method, it is
     * undefined which (if any) of these modifications will be reflected in the result.
     */
    @Override
    public int size() {
      long sum = 0L;
      for (Integer value : countMap.values()) {
        sum += value;
      }

)

// IsRegisterShift reports whether the token is one of the ARM register shift operators.
func IsRegisterShift(r ScanToken) bool {
	return ROT <= r && r <= LSH // Order looks backwards because these are negative.
}

func (t ScanToken) String() string {
	switch t {
	case scanner.EOF:
		return "EOF"
	case scanner.Ident:
		return "identifier"
	case scanner.Int:
		return "integer constant"