}

    public int getCount() {
      return count.get();
    }

    public K getLastEvictedKey() {
      return lastNotification.getKey();
    }

    public V getLastEvictedValue() {
      return lastNotification.getValue();
    }

    public RemovalNotification<K, V> getLastNotification() {
      return lastNotification;
    }
  }

  /** No-op {@link RemovalListener}. */

	}
	if err != nil {
		return 0
	}
	limit, err = strconv.ParseUint(strings.TrimSpace(string(buf)), 10, 64)
	if err != nil {
		// The kernel can return valid but non integer values
		// but still, no need to interpret more
		return 0
	}
	if limit >= 100*humanize.TiByte {
		// No limit set, or unreasonably high. Ignore
		return 0
	}
	return limit
}

func availableMemory() (available uint64) {

  @Override
  public Graph<N> asGraph() {
    return new AbstractGraph<N>() {
      @Override
      public Set<N> nodes() {
        return AbstractValueGraph.this.nodes();
      }

      @Override
      public Set<EndpointPair<N>> edges() {
        return AbstractValueGraph.this.edges();
      }

      @Override
      public boolean isDirected() {
        return AbstractValueGraph.this.isDirected();
      }

    // True if getValue never returns null.
    private boolean isFull() {
      return size == keyToIndex().size();
    }

    K getKey(int index) {
      return keyToIndex().keySet().asList().get(index);
    }

    @CheckForNull
    abstract V getValue(int keyIndex);

    @Override
    ImmutableSet<K> createKeySet() {
      return isFull() ? keyToIndex().keySet() : super.createKeySet();

      }

    return splitDomain(domain).asSequence().drop(firstLabelOffset).joinToString(".")
  }

  private fun splitDomain(domain: String): List<String> {
    val domainLabels = domain.split('.')

    if (domainLabels.last() == "") {
      // allow for domain name trailing dot
      return domainLabels.dropLast(1)
    }

    return domainLabels
  }

                  tensorflow::AttrValue* attr_value, TF_Status* s);

// Returns a sorted vector of std::pair<function_name, gradient_func> from
// graph_def.library().gradient()
std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def);

// Returns a sorted vector of names contained in `grad_def`
std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def);

            if (reportOnly.get()) {
                println(errorMessage)
            } else {
                throw GradleException(errorMessage)
            }
        }
    }

    /**
     * Returns non-empty directories: the mapping of directory to at most 4 leftover files' relative path in the directory.
     */
    private

        ): Long {
          check(!closed)
          return data.read(sink, byteCount)
        }

        override fun timeout(): Timeout {
          return Timeout.NONE
        }
      }
    return source.buffer().asResponseBody(null, -1)
  }

  private fun newResponse(
    responseBody: ResponseBody,
    code: Int = 200,
  ): Response {
    return Response.Builder()
      .request(

			return nil, err
		}
		return sql.FromFloat(v), nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return sql.FromInt(v), nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return sql.FromFloat(v), err
		}
		return sql.FromInt(v), nil
	case simdjson.TypeBool:
		v, err := iter.Bool()

      @Override
      protected Iterator<E> newTargetIterator() {
        return getSubjectGenerator().create(e0(), e1(), e1(), e2()).iterator();
      }
    }.test();
  }

  /**
   * Returns {@link Method} instances for the tests that assume multisets support duplicates so that
   * the test of {@code Multisets.forSet()} can suppress them.
   */