r.bufStart += n
			if r.lastBoundary-r.bufStart > 0 {
				return n, nil
			}
			return n, r.err
		}
		if r.err != nil {
			return 0, r.err
		}
		outn := copy(r.outbuf, r.outbuf[r.lastBoundary:])
		r.outbuf = r.outbuf[0:outn]
		r.bufStart = 0

		n, err := r.r.Read(r.inbuf)
		r.rb.src = inputBytes(r.inbuf[0:n])
		r.rb.nsrc, r.err = n, err
		if n > 0 {
			r.outbuf = doAppend(&r.rb, r.outbuf, 0)

            testonly = 1,
            srcs = [
                template_file,
                header_file,
            ],
            outs = [test_file],
            cmd = (
                "sed " + sed_replace +
                " $(location " + template_file + ") " +
                "> $(OUTS)"
            ),
            tags = tags,
        )

        # The cc_test rule for the generated code.  To ensure that this works

        dupCount++;
      }
    }
    if (duplicates != null) {
      @SuppressWarnings({"rawtypes", "unchecked"})
      Entry<K, V>[] newEntryArray = new Entry[n - dupCount];
      for (int inI = 0, outI = 0; inI < n; inI++) {
        Entry<K, V> entry = requireNonNull(entryArray[inI]);
        K key = entry.getKey();
        if (duplicates.containsKey(key)) {
          V value = duplicates.get(key);

		syncFrames: syncFrames,
	}
}

// DumpTo writes the package's encoded data to out0 and returns the
// package fingerprint.
func (pw *PkgEncoder) DumpTo(out0 io.Writer) (fingerprint [8]byte) {
	h := md5.New()
	out := io.MultiWriter(out0, h)

	writeUint32 := func(x uint32) {
		assert(binary.Write(out, binary.LittleEndian, x) == nil)
	}

	writeUint32(currentVersion)

	var flags uint32

// Initializes the pass manager with default options that make debugging easier.
// The `out` method parameter is exposed for testing purposes and not intended
// to be specified by client code.
void InitPassManager(mlir::PassManager& pm,
                     const converter::DebugOptions& options,
                     llvm::raw_ostream& out = llvm::outs());

}  // namespace tensorflow

			cmd := hangProneCmd(outPath)
			if tc.memoryAccessError != "" {
				outb, err := cmd.CombinedOutput()
				out := string(outb)
				if err != nil && strings.Contains(out, tc.memoryAccessError) {
					// This string is output if the
					// sanitizer library needs a
					// symbolizer program and can't find it.

	"NEGL",
	"NEGQ",
	"NEGW",
	"NOPL",
	"NOPW",
	"NOTB",
	"NOTL",
	"NOTQ",
	"NOTW",
	"ORB",
	"ORL",
	"ORPD",
	"ORPS",
	"ORQ",
	"ORW",
	"OUTB",
	"OUTL",
	"OUTSB",
	"OUTSL",
	"OUTSW",
	"OUTW",
	"PABSB",
	"PABSD",
	"PABSW",
	"PACKSSLW",
	"PACKSSWB",
	"PACKUSDW",
	"PACKUSWB",
	"PADDB",
	"PADDL",
	"PADDQ",
	"PADDSB",
	"PADDSW",

		test := &atoftests[i]
		out, err := ParseFloat(test.in, 64)
		outs := FormatFloat(out, 'g', -1, 64)
		if outs != test.out || !reflect.DeepEqual(err, test.err) {
			t.Errorf("ParseFloat(%v, 64) = %v, %v want %v, %v",
				test.in, out, err, test.out, test.err)
		}

		if float64(float32(out)) == out {
			out, err := ParseFloat(test.in, 32)
			out32 := float32(out)
			if float64(out32) != out {

    %out, %c1 = tf_executor.island wraps "tf.opA"(%ri) {_tpu_replicate="cluster"}: (tensor<i32>) -> tensor<i32>
    // expected-warning @+1 {{TF2XLA TPU bridge input check: cluster op = tf.opA with cluster = cluster has successor as non cluster op tf.opB}}
    %out2, %c2 = tf_executor.island wraps "tf.opB"(%out) : (tensor<i32>) -> tensor<i32>

    for (int i = 0; i < expected_results.size(); ++i) {
      TF_Tensor* out = csession.output_tensor(i);
      ASSERT_TRUE(out != nullptr);
      EXPECT_EQ(TF_INT32, TF_TensorType(out));
      EXPECT_EQ(0, TF_NumDims(out));  // scalar
      ASSERT_EQ(sizeof(int32_t), TF_TensorByteSize(out));
      int32_t* output_contents = static_cast<int32_t*>(TF_TensorData(out));
      EXPECT_EQ(expected_results[i], *output_contents);
    }
  }