// run

// Copyright 2010 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file

// Test that structures pack densely, according to the alignment of the largest field.

package main

import (
	"fmt"
	"os"
	"strconv"
)

type T1 struct {
	x uint8
}
type T2 struct {
	x uint16
}
type T4 struct {
	x uint32
}

    private final byte[] buffer;

    public CommonsTarPacker(int bufferSizeInKBytes) {
        this.buffer = new byte[bufferSizeInKBytes * 1024];
    }

    @Override
    public void pack(List<DataSource> inputs, DataTarget output) throws IOException {
        TarArchiveOutputStream tarOutput = new TarArchiveOutputStream(output.openOutput());
        for (DataSource input : inputs) {

        this.streamHasher = streamHasher;
        this.stringInterner = stringInterner;
        this.bufferProvider = bufferProvider;
    }

    @Override
    public PackResult pack(CacheableEntity entity, Map<String, ? extends FileSystemSnapshot> snapshots, OutputStream output, OriginWriter writeOrigin) throws IOException {
        BufferedOutputStream bufferedOutput;

func (d *poolDequeue) unpack(ptrs uint64) (head, tail uint32) {
	const mask = 1<<dequeueBits - 1
	head = uint32((ptrs >> dequeueBits) & mask)
	tail = uint32(ptrs & mask)
	return
}

func (d *poolDequeue) pack(head, tail uint32) uint64 {
	const mask = 1<<dequeueBits - 1
	return (uint64(head) << dequeueBits) |
		uint64(tail&mask)
}

// pushHead adds val at the head of the queue. It returns false if the

//  computation - The MLIR module op. It currently takes in
//  tpu::FunctionToHloArgs but this is deprecated. arg_shapes - The shapes of
//  the arguments in module_op. device_type - The device type to compile for.
//  use_tuple_args - Pack the incoming arg shapes into a single tuple.
//  custom_legalization_passes - Extra passes to lower from TF -> MHLO.
//  arg_shapes  - The shapes of the args.
//  arg_core_mapping - Which args go on which cores.

# CHECK:           %[[VAL_12:.*]] = "tfl.pack"(%[[VAL_10]], %[[VAL_11]]) <{axis = 0 : i32, values_count = 2 : i32}> : (tensor<5x7xf32>, tensor<5x7xf32>) -> tensor<2x5x7xf32>
# CHECK:           return %[[VAL_12]] : tensor<2x5x7xf32>

  internal val lock: ReentrantLock = ReentrantLock()

  private val hpackBuffer: Buffer = Buffer()
  private var maxFrameSize: Int = INITIAL_MAX_FRAME_SIZE
  private var closed: Boolean = false
  val hpackWriter: Hpack.Writer = Hpack.Writer(out = hpackBuffer)

  @Throws(IOException::class)
  fun connectionPreface() {
    this.withLock {
      if (closed) throw IOException("closed")

    "MatrixDiagPartV3",
    "MatrixDiagV2",
    "MatrixDiagV3",
    "MatrixSetDiag",
    "MatrixSetDiagV2",
    "MatrixSetDiagV3",
    "MirrorPad",
    "OneHot",
    "OnesLike",
    "Pack",
    "Pad",
    "PadV2",
    "ParallelConcat",
    "PlaceholderV2",
    "PlaceholderWithDefault",
    "PreventGradient",
    "QuantizeAndDequantize",
    "QuantizeV2",
    "Rank",
    "Reshape",

# CHECK-SAME:   [[ARG:%.*]]: tensor<*xf32> {tf_saved_model.index_path = ["x"]}

# CHECK: [[shape:%.*]] = "tf.Shape"([[ARG]])
# CHECK-NEXT: [[batch_size:%.*]] = "tf.StridedSlice"([[shape]],
# CHECK-NEXT: [[result:%.*]] = "tf.Pack"([[batch_size]],
# CHECK-NEXT: return [[result]] : tensor<2xi32>


def Test():

  x = tf.placeholder(dtype=tf.float32, shape=[None])
  batch_size = tf.shape(x)[0]
  r = tf.convert_to_tensor([batch_size, 1])

HSPLokhttp3/internal/http2/Hpack$Writer;-><init>(IZLokio/Buffer;I)V
HSPLokhttp3/internal/http2/Hpack$Writer;->evictToRecoverBytes(I)I
HSPLokhttp3/internal/http2/Hpack$Writer;->insertIntoDynamicTable(Lokhttp3/internal/http2/Header;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeByteString(Lokio/ByteString;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeHeaders(Ljava/util/List;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeInt(III)V