const float min_value = min_tensor.scalar<float>()();
      const float max_value = max_tensor.scalar<float>()();
      auto histogram_flat = histogram_tensor.flat<int64_t>();
      absl::Span<const int64_t> histogram_data =
          absl::MakeSpan(histogram_flat.data(), histogram_flat.size());
      id_to_collector_[ids_[idx]]->Collect(min_value, max_value,

    // a special case that there are tf.Identity ops between the min/max
    // constants and the tf.FakeQuantWithMinMaxVarsOp.
    Value min = tf_op.getMin(), max = tf_op.getMax();
    DenseFPElementsAttr min_value, max_value;
    if (auto id1 = dyn_cast_or_null<TF::IdentityOp>(min.getDefiningOp())) {
      id1.replaceAllUsesWith(id1.getInput());
      min = tf_op.getMin();
      rewriter.eraseOp(id1);
    }

                val long = value as Long
                if (Int.MIN_VALUE < long && long < Int.MAX_VALUE) KaConstantValue.KaIntConstantValue(long.toInt(), psi)
                else KaConstantValue.KaLongConstantValue(long, psi)
            }

            ConstantValueKind.UnsignedIntegerLiteral -> {
                val long = value as ULong

    assertEquals(3327428144502L, BloomFilter.optimalNumOfBits(Integer.MAX_VALUE, Double.MIN_VALUE));
    IllegalArgumentException expected =
        assertThrows(
            IllegalArgumentException.class,
            () -> {
              BloomFilter<String> unused =
                  BloomFilter.create(HashTestUtils.BAD_FUNNEL, Integer.MAX_VALUE, Double.MIN_VALUE);
            });
    assertThat(expected)
        .hasMessageThat()

  SmallVector<double, 4> min_value, max_value;
  const auto mins = dyn_cast<DenseFPElementsAttr>(min);
  const auto maxs = dyn_cast<DenseFPElementsAttr>(max);
  if (mins && maxs) {
    min_value.reserve(mins.getNumElements());
    max_value.reserve(maxs.getNumElements());
    for (auto it = mins.begin(); it != mins.end(); ++it) {
      min_value.push_back(FloatAttr::getValueAsDouble(*it));
    }

    }

    public Ansi scrollUp(final int rows) {
        if (rows == Integer.MIN_VALUE) {
            return scrollDown(Integer.MAX_VALUE);
        }
        return rows > 0 ? appendEscapeSequence('S', rows) : rows < 0 ? scrollDown(-rows) : this;
    }

    public Ansi scrollDown(final int rows) {
        if (rows == Integer.MIN_VALUE) {
            return scrollUp(Integer.MAX_VALUE);
        }

      return CaseFormat.UPPER_UNDERSCORE.to(CaseFormat.UPPER_CAMEL, name());
    }
  }

  /** Timeout values to combine with each {@link Scenario}. */
  private enum Timeout {
    MIN(Long.MIN_VALUE, "-oo"),
    MINUS_SMALL(-SMALL_TIMEOUT_MILLIS, "-" + SMALL_TIMEOUT_MILLIS + "ms"),
    ZERO(0L, "0ms"),
    SMALL(SMALL_TIMEOUT_MILLIS, SMALL_TIMEOUT_MILLIS + "ms"),

      return CaseFormat.UPPER_UNDERSCORE.to(CaseFormat.UPPER_CAMEL, name());
    }
  }

  /** Timeout values to combine with each {@link Scenario}. */
  private enum Timeout {
    MIN(Long.MIN_VALUE, "-oo"),
    MINUS_SMALL(-SMALL_TIMEOUT_MILLIS, "-" + SMALL_TIMEOUT_MILLIS + "ms"),
    ZERO(0L, "0ms"),
    SMALL(SMALL_TIMEOUT_MILLIS, SMALL_TIMEOUT_MILLIS + "ms"),

        This will be the source to calculate min and max values from.
      calibration_options_serialized: Serialized `CalibrationOptions`. Specifies
        how the min / max should be calculated.

    Returns:
      (min_value, max_value): Min and max calculated using calib_opts. `None`
      upon error.
    """
    # LINT.ThenChange(py_function_lib.h:get_calibration_min_max_value)

    # Deserialize values passed from c++.

  quant::UniformQuantizedType GetFixedOutputRange(
      bool is_signed, int bit_width) {
    auto result_type = getOutput().getType();
    // central_value = min_value / 2 + (max_value - 1) / 2 + 1
    // zero_point = central_value
    // scale = 1. / (central_value - min_value)
    return quant::GetFixedOutputRange(is_signed, bit_width, result_type,
        /*scale=*/1.0 / (1<<(bit_width-1)), /*zero_point=*/0);
  }
  }];
}