// DT_FLOAT, DT_HALF, DT_QINT8, and DT_QUINT8. When DT_HALF is used, the
  // `weight_quantization` flag needs to set to true. When DT_QUINT8 is used,
  // the `weight_quantization` flag needs to set to false.
  tensorflow::DataType inference_type = tensorflow::DT_FLOAT;

  // The input and output data type during inference. This flag is only used
  // when `inference_type` is different from DT_FLOAT. This flag can only be set

Used for executing the application.
This configuration is meant to be used by consumers, to retrieve all the elements necessary to run the application.

The following configurations are used by the application itself:

`swiftCompile__Variant__` (e.g. `swiftCompileDebug` and `swiftCompileRelease`) extends `main__Variant__Implementation`::
Used for compiling the application.

  // CanonicalName for the workload. Used for telemetry.
  string canonical_name = 10;
  // CanonicalRevision for the workload. Used for telemetry.
  string canonical_revision = 11;
  // WorkloadType represents the type of the workload. Used for telemetry.
  WorkloadType workload_type = 12;
  // WorkloadName represents the name for the workload (of type WorkloadType). Used for telemetry.
  string workload_name = 13;

of the expected endian order. If 'BR' is used then zero extend is assumed.

Memory references n(Ra) indicate the address in Ra + n. When used with an update form
of an opcode, the value in Ra is incremented by n.

Memory references (Ra+Rb) or (Ra)(Rb) indicate the address Ra + Rb, used by indexed
loads or stores. Both forms are accepted. When used with an update then the base register

    def setup() {
        expectReindentedValidationMessage()
    }

    @Issue("https://github.com/gradle/gradle/issues/13333")
    def "absent #operator orElse #orElseKind used as task input"() {

        assumeFalse(
            'task dependency inference for orElse(taskOutput) not implemented yet!',
            orElseKind == 'task output'
        )

        given:

Used for executing the application.
This configuration is meant to be used by consumers, to retrieve all the elements necessary to run the application.

The following configurations are used by the application itself:

`cppCompile__Variant__` (e.g. `cppCompileDebug` and `cppCompileRelease`) extends `main__Variant__Implementation`::
Used for compiling the application.

     *
     * @return the set of filters to be used for sanitizing test stack traces
     */
    Set<TestStackTraceFilter> getStackTraceFilters();

    /**
     * Sets the set of filters to be used for sanitizing test stack traces.
     *
     * @param stackTraces the set of filters to be used for sanitizing test stack traces
     * @since 4.0
     */

  }

  private static void disallowPrimitiveType(Type[] types, String usedAs) {
    for (Type type : types) {
      if (type instanceof Class) {
        Class<?> cls = (Class<?>) type;
        checkArgument(!cls.isPrimitive(), "Primitive type '%s' used as %s", cls, usedAs);
      }
    }
  }

  /** Returns the {@code Class} object of arrays with {@code componentType}. */

	R_CALLARM
	R_CALLARM64
	R_CALLIND
	R_CALLPOWER
	// R_CALLMIPS (only used on mips64) resolves to non-PC-relative target address
	// of a CALL (JAL) instruction, by encoding the address into the instruction.
	R_CALLMIPS
	R_CONST
	R_PCREL
	// R_TLS_LE, used on 386, amd64, and ARM, resolves to the offset of the
	// thread-local symbol from the thread local base and is used to implement the

            fsObj.free = f.getFreeSpace();
            fsObj.total = f.getTotalSpace();
            fsObj.usable = f.getUsableSpace();
            fsObj.used = fsObj.total - fsObj.usable;
            fsObj.percent = (short) (100 * fsObj.used / fsObj.total);
            return fsObj;
        }).toArray(n -> new FsObj[n]);
    }

    private JvmObj getJvmObj() {
        final JvmObj jvmObj = new JvmObj();