"fmt"
	"internal/testenv"
	"math"
	"math/rand"
	"strconv"
	"strings"
	"testing"
	"testing/quick"
)

func isNormalized(x *Int) bool {
	if len(x.abs) == 0 {
		return !x.neg
	}
	// len(x.abs) > 0
	return x.abs[len(x.abs)-1] != 0
}

type funZZ func(z, x, y *Int) *Int
type argZZ struct {
	z, x, y *Int
}

var sumZZ = []argZZ{
	{NewInt(0), NewInt(0), NewInt(0)},

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

#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_graph_optimization_pass.h"

#include <utility>

#include "absl/container/flat_hash_set.h"
#include "llvm/Support/CommandLine.h"
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project

#include <stdint.h>

#include <cstdarg>
#include <map>
#include <memory>
#include <string>
#include <utility>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/status/status.h"
#include "flatbuffers/flatbuffer_builder.h"  // from @flatbuffers
#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"
#include "tensorflow/lite/core/model_builder.h"

		"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",

arguments with types `tensor<?x?xi32>, tensor<?x?xi32>, tensor<?x?xi32>`.

```bash
tf-to-stablehlo-translate <saved-model-path> --input-arg-shapes=1,12:1,12:1,12
```

### Dependencies

* TensorFlow
* MLIR
* Abseil (absl)

## Python APIs


### `savedmodel_to_stablehlo`

Converts a TensorFlow SavedModel into StableHLO bytecode.

```Python

    const bool allow_float, const std::unordered_set<string>& operator_names,
    const TensorType& activations_type, std::string& output_buffer,
    const bool disable_per_channel = false,
    const absl::flat_hash_set<std::string>& blocked_ops = {},
    const absl::flat_hash_set<std::string>& blocked_nodes = {},
    const bool disable_per_channel_for_dense_layers = false) {
  TensorType inference_tensor_type = activations_type;

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

#include <iostream>
#include <memory>
#include <optional>
#include <system_error>

#include "absl/strings/string_view.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/InitLLVM.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/PrettyStackTrace.h"
#include "llvm/Support/raw_ostream.h"

	}
	return s
}

// GoString implements [fmt.GoStringer] and formats t to be printed in Go source
// code.
func (t Time) GoString() string {
	abs := t.abs()
	year, month, day, _ := absDate(abs, true)
	hour, minute, second := absClock(abs)

	buf := make([]byte, 0, len("time.Date(9999, time.September, 31, 23, 59, 59, 999999999, time.Local)"))
	buf = append(buf, "time.Date("...)
	buf = appendInt(buf, year, 0)

		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];