}
      },
    )
  }

  @Test fun goAwayWithDebugDataRoundTrip() {
    val expectedError = ErrorCode.PROTOCOL_ERROR
    val expectedData: ByteString = "abcdefgh".encodeUtf8()

    // Compose the expected GOAWAY frame without debug data.
    writeMedium(frame, 8 + expectedData.size)
    frame.writeByte(TYPE_GOAWAY)
    frame.writeByte(FLAG_NONE)
    frame.writeInt(0) // connection-scope

   *     the returned future.
   * @param executor Executor to run the function in.
   * @return A future that holds result of the transformation.
   * @since 9.0 (in 2.0 as {@code compose})
   */
  public static <I extends @Nullable Object, O extends @Nullable Object>
      ListenableFuture<O> transform(
          ListenableFuture<I> input, Function<? super I, ? extends O> function, Executor executor) {

		TARGET_FILE=$(basename $TARGET_FILE)
	done

	# Compute the canonicalized name by finding the physical path
	# for the directory we're in and appending the target file.
	PHYS_DIR=$(pwd -P)
	RESULT=$PHYS_DIR/$TARGET_FILE
	echo $RESULT
}

## FIXME:
## In OSX, 'sort -V' option does not exist, hence
## we have our own version compare function.
## Once OSX has the option, below function is good enough.
##

            print(
                'ERROR: TensorFlow only supports small CUDA compute'
                ' capabilities of sm_30 and higher. Please re-specify the list'
                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '

ffgan <******@****.***> 1749399125 +0800

     * will default to {@link #COMPILE}.
     */
    UNDEFINED("", false),

    /**
     * Compile only.
     */
    COMPILE_ONLY("compile-only", false),

    /**
     * Compile, runtime and test.
     */
    COMPILE("compile", true),

    /**
     * Runtime and test.
     */
    RUNTIME("runtime", true),

    /**

        }
        final PrunedTag other = (PrunedTag) obj;
        return StringUtils.compare(tag, other.tag) == 0 //
                && StringUtils.compare(css, other.css) == 0 //
                && StringUtils.compare(id, other.id) == 0 //
                && StringUtils.compare(attrName, other.attrName) == 0 //
                && StringUtils.compare(attrValue, other.attrValue) == 0;
    }

    /**

build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current

                    (Compare what guava-gwt has to do for maven-javadoc-plugin.)
                -->
                <arg>-sourcepath</arg>
                <arg>doesnotexist</arg>
              </compilerArgs>
            </configuration>
          </execution>
          <execution>
            <id>compile-java9</id>
            <goals>
              <goal>compile</goal>
            </goals>

   * - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;