}

  func.func private @func_2_CPU_FLOAT(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<2x1xf32> attributes {tac.device = "CPU", tac.inference_type = "FLOAT", tac.interface_name = "func_2"} {
    %0 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, tac.device = "CPU", tac.inference_type = "FLOAT", values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
    func.return %0 : tensor<2x1xf32>
  }

  return builder.create<TF::PadV2Op>(
      loc, RankedTensorType::get(output_shape, builder.getI8Type()), input,
      temp_padding,
      CreateScalarConstValue<int8_t>(builder, loc, input_zp_value));
}

// Pack value using following formula:
// Consider value of rank=4, pack_dim=1 for example.
//
// if value.shape[1] % 2:
//   value = pad(value, [0, 1, 0, 0])
//
// slice_shape = value.shape
// slice_shape[1] /= 2

                        f.parentFile.mkdirs()
                        f.text = val
                    }
                }
            }
        """
    }

    def "emits pack/unpack and store/load operations for local"() {
        def localCache = new TestBuildCache(file("local-cache"))
        settingsFile << localCache.localCacheConfiguration()

        when:

	github.com/peterbourgon/diskv v2.0.1+incompatible // indirect
	github.com/pkg/errors v0.9.1 // indirect
	github.com/planetscale/vtprotobuf v0.6.1-0.20240319094008-0393e58bdf10 // indirect
	github.com/quic-go/qpack v0.4.0 // indirect
	github.com/rivo/uniseg v0.4.6 // indirect
	github.com/rogpeppe/go-internal v1.12.0 // indirect
	github.com/russross/blackfriday/v2 v2.1.0 // indirect
	github.com/sagikazarmark/locafero v0.4.0 // indirect

		}
		find(0, 0)
	})
}

func TestScavChunkDataPack(t *testing.T) {
	if !CheckPackScavChunkData(1918237402, 512, 512, 0b11) {
		t.Error("failed pack/unpack check for scavChunkData 1")
	}
	if !CheckPackScavChunkData(^uint32(0), 12, 0, 0b00) {
		t.Error("failed pack/unpack check for scavChunkData 2")
	}
}

func FuzzPIController(f *testing.F) {
	isNormal := func(x float64) bool {

	runGo("tool", "compile", "-importcfg="+importcfgfile, "-p=main", "main.go")
	runGo("tool", "pack", "c", "main.a", "main.o")

	// Add an extra section with a short, non-.o name.
	// This simulates an alternative build system.
	write(".facts", "this is not an object file")
	runGo("tool", "pack", "r", "main.a", ".facts")

	// Verify that the linker does not attempt
	// to compile the extra section.

      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;
      status->status = custom_device_handle->device()->Pack(

    # Add `AssetFileDef`s to the collection so that correct values are fed to
    # the tensors that accept asset file paths.
    for asset_file_def in asset_file_defs:
      asset_any_proto = Any()
      asset_any_proto.Pack(asset_file_def)
      ops.add_to_collection(
          saved_model_constants.ASSETS_KEY,
          asset_any_proto,
      )

    model_saver = None

  // custom device.
  //
  // Many devices will want to simply return an "unimplemented" status
  // here. This is the default behavior if `pack` is null when passed to
  // TFE_RegisterCustomDevice.
  TFE_TensorHandle* (*pack)(TFE_Context* context, TFE_TensorHandle** handles,
                            int num_handles, TF_Status* s,
                            void* device_info) = nullptr;

	// them altogether.
	ap = a.Needzero()
	bp = b.Needzero()
	if ap != bp {
		return ap
	}

	// Sort variables in descending alignment order, so we can optimally
	// pack variables into the frame.
	if a.Type().Alignment() != b.Type().Alignment() {
		return a.Type().Alignment() > b.Type().Alignment()
	}

	// Sort normal variables before open-coded-defer slots, so that the