// CHECK-SAME: window_dimensions = array<i64: 1, 3, 3, 1>
    // CHECK: %[[ARG1:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>, %[[ARG2:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>
    // CHECK: %[[MAX:.*]] = stablehlo.maximum %[[ARG1]], %[[ARG2]] : tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>
    // CHECK: stablehlo.return %[[MAX]] : tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>

		"The maximum age in days of log file backups to keep before older files are deleted (0 indicates no limit)")

	intVar(&o.RotationMaxSize, "log_rotate_max_size", o.RotationMaxSize,
		"The maximum size in megabytes of a log file beyond which the file is rotated")

	intVar(&o.RotationMaxBackups, "log_rotate_max_backups", o.RotationMaxBackups,

  bool HasPadding(mlir::stablehlo::ReduceWindowOp op) const {
    return op.getPadding() != std::nullopt;
  }
};

// Rewrites `maximum(transpose(%rhs), %lhs)` patterns to
// `transpose(maximum(%rhs, transpose(%lhs)))`.
class DeferActivationTransposeForMaxOp : public OpRewritePattern<MaxOp> {
 public:
  using OpRewritePattern<MaxOp>::OpRewritePattern;

  }

  /**
   * Returns the maximum value of type {@code C}, if it has one. The maximum value is the unique
   * value for which {@link Comparable#compareTo(Object)} never returns a negative value for any
   * input of type {@code C}.
   *
   * <p>The default implementation throws {@code NoSuchElementException}.
   *
   * @return the maximum value of type {@code C}; never null

     * will be ignored.
     *
     * @return the maximum granularity of the events to be logged
     */
    int getMaxGranularity();

    /**
     * Returns the maximum granularity of the events to be logged. Typically, 0 corresponds to the Gradle-generated test suite for the whole test run, 1 corresponds to the Gradle-generated test suite

     *
     * @return The maximum number of test classes to execute in a test process. Returns 0 when there is no maximum.
     */
    @Internal
    public long getForkEvery() {
        return getDebug() ? 0 : forkEvery;
    }

    /**
     * Sets the maximum number of test classes to execute in a forked test process.
     * <p>

		"The maximum number of days to retain old audit log files based on the timestamp encoded in their filename.")
	fs.IntVar(&o.MaxBackups, "audit-log-maxbackup", o.MaxBackups,
		"The maximum number of old audit log files to retain. Setting a value of 0 will mean there's no restriction on the number of files.")
	fs.IntVar(&o.MaxSize, "audit-log-maxsize", o.MaxSize,

 *
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.

    checkState(
        this.maximumSize == UNSET_INT, "maximum size was already set to %s", this.maximumSize);
    checkState(
        this.maximumWeight == UNSET_INT,
        "maximum weight was already set to %s",
        this.maximumWeight);
    checkState(this.weigher == null, "maximum size can not be combined with weigher");
    checkArgument(maximumSize >= 0, "maximum size must not be negative");
    this.maximumSize = maximumSize;

  %0 = "tf.Conv2D"(%arg0, %cst) {data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<1x3x4x3xf32>, tensor<1x1x3x2xf32>) -> tensor<1x3x4x2xf32>
  %1 = "tf.Maximum"(%0, %cst_0) : (tensor<1x3x4x2xf32>, tensor<f32>) -> tensor<1x3x4x2xf32>
  %2 = "tf.Minimum"(%1, %cst_1) : (tensor<1x3x4x2xf32>, tensor<f32>) -> tensor<1x3x4x2xf32>
  func.return %2 : tensor<1x3x4x2xf32>