return Arrays.copyOfRange(array, start, end);
  }

  /**
   * Returns a new immutable array containing the values in the specified range.
   *
   * <p><b>Performance note:</b> The returned array has the same full memory footprint as this one
   * does (no actual copying is performed). To reduce memory usage, use {@code subArray(start,
   * end).trimmed()}.
   */
  public ImmutableLongArray subArray(int startIndex, int endIndex) {

  return ret;
}

// On success, returns a set of TF_Function instances from `text_proto` of
// GraphDef type. These functions must be deleted by calling TF_DeleteFunction.
//
// If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto,
// before creating a TF_Function out of the possibly mutated proto.
static std::vector<UniqueFuncPtr> CreateFunctionsFromTextProto(
    const char* text_proto,

#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)
#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)

    private HtmlResponse asIndexHtml() {
        return asHtml(path_AdminMaintenance_AdminMaintenanceJsp).useForm(ActionForm.class, op -> op.setup(f -> {
            f.replaceAliases = Constants.ON;
            f.resetDictionaries = null;
        }));
    }

    /**
     * Starts a reindex operation based on the provided form parameters.
     *
     * @param form the action form containing reindex configuration

    absl::Span<AbstractTensorHandle* const> output_gradients,
    absl::Span<AbstractTensorHandle*> result) const {
  if (gradient_function == nullptr) {
    return absl::InvalidArgumentError(absl::StrCat(
        "Provided null gradient_function for '", op_type, "'.\n",
        "If the intent is to treat this op as non-differentiable consider ",
        "using RegisterNotDifferentiable or ",
        "NotDifferentiableGradientFunction."));
  }

    assertThat(cache.getIfPresent(60)).isEqualTo(70);
    assertThat(cache.getIfPresent(5)).isEqualTo(5);
  }

  private static <K> boolean containsKey(Cache<K, ?> cache, K key) {
    return cache.getIfPresent(key) != null;
  }

  @Test
  public void invalidate() {
    Cache<Integer, Integer> cache = CacheBuilder.newBuilder().build();

    cache.put(654, 2675);
    cache.put(2456, 56);
    cache.put(2, 15);

   * guarantees {@code strictfp}-like semantics.)
   */
  @Override
  public boolean equals(@Nullable Object obj) {
    if (obj == null) {
      return false;
    }
    if (getClass() != obj.getClass()) {
      return false;
    }
    PairedStats other = (PairedStats) obj;
    return xStats.equals(other.xStats)

evaluate_forwardref = eval_type_lenient  # ty: ignore[deprecated]


class GenerateJsonSchema(_GenerateJsonSchema):
    # TODO: remove when this is merged (or equivalent): https://github.com/pydantic/pydantic/pull/12841
    # and dropping support for any version of Pydantic before that one (so, in a very long time)
    def bytes_schema(self, schema: CoreSchema) -> JsonSchemaValue:

    description: str | None = None
    url: AnyUrl


# Ref JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation#name-type
SchemaType = Literal[
    "array", "boolean", "integer", "null", "number", "object", "string"
]


class Schema(BaseModelWithConfig):
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-the-json-schema-core-vocabu
    # Core Vocabulary

		}
	}

	// Round the request time *down* to whole minute.
	reqTimeMinute := reqStartTime.Truncate(time.Minute)
	if reqTimeMinute.After(h.currentMinute.statsTime) {
		// Drop the last full minute now, since we got a request for a time we
		// are not yet tracking.
		h.updateLastFullMinute(reqTimeMinute)
	}
	var entry *serviceRTTMinuteStats
	switch {
	case reqTimeMinute.Equal(h.currentMinute.statsTime):