r1, size, _ := buf.ReadRune()
		if err := buf.UnreadRune(); err != nil {
			t.Fatalf("UnreadRune(%U) got error %q", r, err)
		}
		r2, nbytes, err := buf.ReadRune()
		if r1 != r2 || r1 != r || nbytes != size || err != nil {
			t.Fatalf("ReadRune(%U) after UnreadRune got %U,%d not %U,%d (err=%s)", r, r2, nbytes, r, size, err)
		}
	}
}

func TestWriteInvalidRune(t *testing.T) {

	r.Reset(strings.NewReader("bar bar"))
	checkAll(r, "bar bar")

	// Wrap a reader and then Reset to that reader.
	r.Reset(strings.NewReader("recur"))
	r2 := NewReader(r)
	checkAll(r2, "recur")
	r.Reset(strings.NewReader("recur2"))
	r2.Reset(r)
	checkAll(r2, "recur2")
}

func TestWriterReset(t *testing.T) {
	var buf1, buf2, buf3, buf4, buf5 strings.Builder
	w := NewWriter(&buf1)
	w.WriteString("foo")

apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repository and switch to the appropriate branch for
    your desired version—for example, `r2.8` for version 2.8.
*   Apply the desired changes (i.e., cherry-pick them) and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.

	OR $0, R0, R0                   // 60000000

	PCALIGN $16
	PNOP                            // 0700000000000000

	SETB CR1,R3                     // 7c640100
	VCLZLSBB V1,R2                  // 10400e02
	VCTZLSBB V1,R2                  // 10410e02

	XSMAXJDP VS1,VS2,VS3            // f0611480
	XSMINJDP VS1,VS2,VS3            // f06114c0

a1×b0 + 19×(a2×b4 + a3×b3 + a4×b2) r1 := mul64(a0, b1) r1 = addMul64(r1, a1, b0) r1 = addMul64(r1, a2_19, b4) r1 = addMul64(r1, a3_19, b3) r1 = addMul64(r1, a4_19, b2) // r2 = a0×b2 + a1×b1 + a2×b0 + 19×(a3×b4 + a4×b3) r2 := mul64(a0, b2) r2 = addMul64(r2, a1, b1) r2 = addMul64(r2, a2, b0) r2 = addMul64(r2, a3_19, b4) r2 = addMul64(r2, a4_19, b3) // r3 = a0×b3 + a1×b2 + a2×b1 + a3×b0 + 19×a4×b4 r3 := mul64(a0, b3) r3 = addMul64(r3, a1, b2) r3 = addMul64(r3, a2, b1) r3 = addMul64(r3, a3, b0) r3 = addMul64(r3,...

				// All must be registers.
				p.getRegister(prog, op, &a[0])
				r1 := p.getRegister(prog, op, &a[1])
				r2 := p.getRegister(prog, op, &a[2])
				p.getRegister(prog, op, &a[3])
				prog.From = a[0]
				prog.To = a[3]
				prog.To.Type = obj.TYPE_REGREG2
				prog.To.Offset = int64(r2)
				prog.Reg = r1
				break
			}
		}
		if p.arch.Family == sys.AMD64 {
			prog.From = a[0]

r1 = a0×b1 + a1×b0 + 19×(a2×b4 + a3×b3 + a4×b2) r1 := mul(a0, b1) r1 = addMul(r1, a1, b0) r1 = addMul19(r1, a2, b4) r1 = addMul19(r1, a3, b3) r1 = addMul19(r1, a4, b2) // r2 = a0×b2 + a1×b1 + a2×b0 + 19×(a3×b4 + a4×b3) r2 := mul(a0, b2) r2 = addMul(r2, a1, b1) r2 = addMul(r2, a2, b0) r2 = addMul19(r2, a3, b4) r2 = addMul19(r2, a4, b3) // r3 = a0×b3 + a1×b2 + a2×b1 + a3×b0 + 19×a4×b4 r3 := mul(a0, b3) r3 = addMul(r3, a1, b2) r3 = addMul(r3, a2, b1) r3 = addMul(r3, a3, b0) r3 = addMul19(r3, a4, b4)...

	// ADDV C_SCON, [r1], r2
	ADDV	$0x321, R4			// ADDV	$801, R4			// 8484cc02
	ADDV	$0x321, R5, R4			// ADDV	$801, R5, R4			// a484cc02
	ADDV	$0xfffffffffffffc21, R4		// ADDV	$-991, R4			// 8484f002
	ADDV	$0xfffffffffffffc21, R5, R4	// ADDV	$-991, R5, R4			// a484f002

	// AND C_SCON, [r1], r2
	AND	$0x321, R4			// AND	$801, R4			// 84844c03

Left shift the immediate value <code>8</code> by <code>12</code> bits.
</li>

<li>
<code>8(R0)</code>:
Add the value of <code>R0</code> and <code>8</code>.
</li>

<li>
<code>(R2)(R0)</code>:
The location at <code>R0</code> plus <code>R2</code>.
</li>

<li>
<code>R0.UXTB</code>
<br>
<code>R0.UXTB&lt;&lt;imm</code>:

        [`experimental_io_device`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/saved_model/LoadOptions?hl=en)
        as arg with default value `None` to choose the I/O device for loading
        models and weights.
    *   Update `tf.saved_model.SaveOptions` with
        [`experimental_io_device`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/saved_model/SaveOptions?hl=en)