}

// detailedPowersOfTen{Min,Max}Exp10 is the power of 10 represented by the
// first and last rows of detailedPowersOfTen. Both bounds are inclusive.
const (
	detailedPowersOfTenMinExp10 = -348
	detailedPowersOfTenMaxExp10 = +347
)

// detailedPowersOfTen contains 128-bit mantissa approximations (rounded down)
// to the powers of 10. For example:
//

Isso também significa que em muitos casos você poderá passar o mesmo objeto que você receber de uma requisição **diretamente para o banco de dados**, já que tudo é validado automaticamente.

O mesmo se aplica no sentido inverso, em muitos casos você poderá simplesmente passar o objeto que você recebeu do banco de dados **diretamente para o cliente**.

		}

		// TODO: other unrolling idioms
		// for i := 0; i < KNN - KNN % k ; i += k
		// for i := 0; i < KNN&^(k-1) ; i += k // k a power of 2
		// for i := 0; i < KNN&(-k) ; i += k // k a power of 2
	}

	return iv
}

// addWillOverflow reports whether x+y would result in a value more than maxint.
func addWillOverflow(x, y int64) bool {
	return x+y < x
}

    SetBuilderImpl<E> copy() {
      return this;
    }

    @Override
    ImmutableSet<E> build() {
      return ImmutableSet.of();
    }
  }

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.
  private static final double DESIRED_LOAD_FACTOR = 0.7;

func systemstack_switch()

// alignUp rounds n up to a multiple of a. a must be a power of 2.
//
//go:nosplit
func alignUp(n, a uintptr) uintptr {
	return (n + a - 1) &^ (a - 1)
}

// alignDown rounds n down to a multiple of a. a must be a power of 2.
//
//go:nosplit
func alignDown(n, a uintptr) uintptr {
	return n &^ (a - 1)
}

#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/framework/graph_debug_info.pb.h"
#include "tensorflow/core/framework/tensor_shape.h"

namespace tensorflow {

// Lowers MLIR module to XLA HLO inside an XlaComputation. The input module
// should only contain operations in tf dialect. If the input module contains
// operation in the tf_executor dialect, for example, returns an error.

   *
   * <p>Currently, the UNSET value means "null pointer", and any non negative value x is the actual
   * index.
   *
   * <p>Its size must be a power of two.
   */
  private transient int[] table;

  /**
   * Contains the logical entries, in the range of [0, size()). The high 32 bits of each long is the

			// Rationale for the bucket boundaries:
			// For 0--1, evenly spaced and not too many;
			// For 1--2, roughly powers of sqrt(sqrt(2));
			// For 2--6, roughly powers of sqrt(2);
			// We need coverage over 1, but do not want too many buckets.
			Buckets:        []float64{0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.7, 2, 2.8, 4, 6},
			StabilityLevel: compbasemetrics.ALPHA,

 *  Fix: Recover gracefully when a cache entry's certificate is corrupted.

 *  Fix: Fail permanently when there's a failure loading the bundled public suffix database.
    This is the dataset that powers `HttpUrl.topPrivateDomain()`.

 *  Fix: Immediately update the connection's flow control window instead of waiting for the
    receiving stream to process it.

		m := bucketMask(h.B)
		b = (*bmap)(add(h.buckets, (hash&m)*uintptr(t.BucketSize)))
		if c := h.oldbuckets; c != nil {
			if !h.sameSizeGrow() {
				// There used to be half as many buckets; mask down one more power of two.
				m >>= 1
			}
			oldb := (*bmap)(add(c, (hash&m)*uintptr(t.BucketSize)))
			if !evacuated(oldb) {
				b = oldb
			}
		}
	}
	for ; b != nil; b = b.overflow(t) {