limitations under the License.
==============================================================================*/

#include <algorithm>
#include <numeric>
#include <string>

#include "absl/algorithm/container.h"
#include "absl/strings/str_format.h"
#include "llvm/ADT/ArrayRef.h"
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h"

#include "tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf.h"

#include <cstdint>
#include <memory>
#include <string>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/strings/str_format.h"
#include "tensorflow/compiler/mlir/tf2xla/internal/test_matchers.h"
#include "tensorflow/compiler/mlir/tf2xla/internal/utils/test_metadata_config.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"

#include "tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.h"

#include <cstdint>
#include <map>
#include <numeric>
#include <string>
#include <utility>

#include "absl/log/check.h"
#include "absl/log/log.h"
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"

		case x.exp > allBits:
			z.a.abs = z.a.abs.shl(x.mant, uint(x.exp-allBits))
			z.b.abs = z.b.abs[:0] // == 1 (see Rat)
			// z already in normal form
		default:
			z.a.abs = z.a.abs.set(x.mant)
			z.b.abs = z.b.abs[:0] // == 1 (see Rat)
			// z already in normal form
		case x.exp < allBits:
			z.a.abs = z.a.abs.set(x.mant)
			t := z.b.abs.setUint64(1)
			z.b.abs = t.shl(t, uint(allBits-x.exp))
			z.norm()

		"Logging.Options.JSON.OutputRoutingOptions.InfoBufferSize.Quantity.d.Dec.scale",
		"Logging.Options.JSON.OutputRoutingOptions.InfoBufferSize.Quantity.d.Dec.unscaled.abs[*]",
		"Logging.Options.JSON.OutputRoutingOptions.InfoBufferSize.Quantity.d.Dec.unscaled.neg",
		"Logging.Options.JSON.OutputRoutingOptions.InfoBufferSize.Quantity.i.scale",

		totalTimeout = originalTimeout
	}()

	u := NewUpdateTracker(t)
	sc := createCache(t, nil, u.Callback, security.Options{})
	rootCertPath, _ := filepath.Abs("./testdata/root-cert-bogus.pem")
	keyPath, _ := filepath.Abs("./testdata/key-bogus.pem")
	certChainPath, _ := filepath.Abs("./testdata/cert-chain-bogus.pem")

	resource := fmt.Sprintf("file-cert:%s~%s", certChainPath, keyPath)

	gotSecret, err := sc.GenerateSecret(resource)

	sumpos: g.sumpos,
	sumneg: g.sumneg,
        self:   g.self,
      };
      displayList.push(box);
      if (direction > 0) {
	// Leave gap on left hand side to indicate self contribution.
	x += xscale*Math.abs(g.self);
      }
    }
    y += direction * ROW;

    // Find child or parent stacks.
    const next = [];
    for (const place of g.places) {
      const stack = stacks.Stacks[place.Stack];

# ==============================================================================
"""Base test class for quantize_model Tests."""

from typing import List, Mapping, Optional, Sequence, Tuple

from absl.testing import parameterized
from mlir import ir
from mlir.dialects import stablehlo as stablehlo_dialect
import numpy as np
import tensorflow  # pylint: disable=unused-import

	closeEnough float64
	maxError    float64
}

func nearEqual(a, b, closeEnough, maxError float64) bool {
	absDiff := math.Abs(a - b)
	if absDiff < closeEnough { // Necessary when one value is zero and one value is close to zero.
		return true
	}
	return absDiff/max(math.Abs(a), math.Abs(b)) < maxError
}

var testSeeds = []uint64{1, 1754801282, 1698661970, 1550503961}

constexpr llvm::StringRef kCalledIndexAttrName = "called_index";
constexpr llvm::StringRef kCalledFuncAttrName = "called_func";

// Deserialize the StableHLO module embedded in XlaCallModuleOp's module
// attribute.
absl::StatusOr<OwningOpRef<ModuleOp>> DeserializeStablehlo(MLIRContext *context,
                                                           XlaCallModuleOp op) {
  std::vector<std::string> disabled_checks;